Correction of self-reported BMI based on objective measurements: a Belgian experience.
Drieskens, S; Demarest, S; Bel, S; De Ridder, K; Tafforeau, J
2018-01-01
Based on successive Health Interview Surveys (HIS), it has been demonstrated that also in Belgium obesity, measured by means of a self-reported body mass index (BMI in kg/m 2 ), is a growing public health problem that needs to be monitored as accurately as possible. Studies have shown that a self-reported BMI can be biased. Consequently, if the aim is to rely on a self-reported BMI, adjustment is recommended. Data on measured and self-reported BMI, derived from the Belgian Food Consumption Survey (FCS) 2014 offers the opportunity to do so. The HIS and FCS are cross-sectional surveys based on representative population samples. This study focused on adults aged 18-64 years (sample HIS = 6545 and FCS = 1213). Measured and self-reported BMI collected in FCS were used to assess possible misreporting. Using FCS data, correction factors (measured BMI/self-reported BMI) were calculated in function of a combination of background variables (region, gender, educational level and age group). Individual self-reported BMI of the HIS 2013 were then multiplied with the corresponding correction factors to produce a corrected BMI-classification. When compared with the measured BMI, the self-reported BMI in the FCS was underestimated (mean 0.97 kg/m 2 ). 28% of the obese people underestimated their BMI. After applying the correction factors, the prevalence of obesity based on HIS data significantly increased (from 13% based on the original HIS data to 17% based on the corrected HIS data) and approximated the measured one derived from the FCS data. Since self-reported calculations of BMI are underestimated, it is recommended to adjust them to obtain accurate estimates which are important for decision making.
Stommel, Manfred; Schoenborn, Charlotte A
2009-11-19
The Body Mass Index (BMI) based on self-reported height and weight ("self-reported BMI") in epidemiologic studies is subject to measurement error. However, because of the ease and efficiency in gathering height and weight information through interviews, it remains important to assess the extent of error present in self-reported BMI measures and to explore possible adjustment factors as well as valid uses of such self-reported measures. Using the combined 2001-2006 data from the continuous National Health and Nutrition Examination Survey, discrepancies between BMI measures based on self-reported and physical height and weight measures are estimated and socio-demographic predictors of such discrepancies are identified. Employing adjustments derived from the socio-demographic predictors, the self-reported measures of height and weight in the 2001-2006 National Health Interview Survey are used for population estimates of overweight & obesity as well as the prediction of health risks associated with large BMI values. The analysis relies on two-way frequency tables as well as linear and logistic regression models. All point and variance estimates take into account the complex survey design of the studies involved. Self-reported BMI values tend to overestimate measured BMI values at the low end of the BMI scale (< 22) and underestimate BMI values at the high end, particularly at values > 28. The discrepancies also vary systematically with age (younger and older respondents underestimate their BMI more than respondents aged 42-55), gender and the ethnic/racial background of the respondents. BMI scores, adjusted for socio-demographic characteristics of the respondents, tend to narrow, but do not eliminate misclassification of obese people as merely overweight, but health risk estimates associated with variations in BMI values are virtually the same, whether based on self-report or measured BMI values. BMI values based on self-reported height and weight, if corrected for biases associated with socio-demographic characteristics of the survey respondents, can be used to estimate health risks associated with variations in BMI, particularly when using parametric prediction models.
Measuring body mass index (BMI) in nursing home residents: The usefulness of measurement of arm span
Nygaard, Harald A.
2008-01-01
Objective To study whether arm span can be used as substitute for measurement of height in nursing home patients for calculating body mass index (BMI). Design Explanatory observational study. Setting Assessment of 35 nursing home residents admitted to long-term stay in a nursing home. Main outcome measures Correlation between measured height and arm span and of BMI based on both measures. Results Measured height and arm span, and BMI calculated from either measure were significantly correlated, rs=0.75, p <0.001 and rs=0.89, p <0.001, respectively. The ratios of measured height and arm span and between BMIs based on height or arm span are close to 1, but the dispersion is rather large. Conclusion Arm span is a reliable substitute for measurement of height in nursing home patients. In persons with severe height reduction, arm-span-based BMI is probably more accurate than conventional height-based BMI. PMID:18297563
Wong, Christopher Kevin; Wong, Ryan J
2017-12-01
People with limb loss may misjudge weight-related health when not adjusting body mass index (BMI) for amputation level. This cross-sectional, community-based study compared BMI and amputation-adjusted BMI (A-BMI) and evaluated relationships among BMI categories, function, and dieting. Subjects provided self-reported demographic, functional, and medical/prosthetic data including height and weight and completed performance-based balance and gait measures. A Web-based A-BMI calculator adjusted for amputation levels. Results for 294 subjects from 11 states (68.4% men; 76.5% white; average age, 55.6 [15.1] y) were reported, with vascular (49.7%) and unilateral transtibial (40.8%) amputations as the most common. Body mass index and A-BMI were closely correlated (Pearson r = 0.99), but a BMI of 28.6 (6.7) was less than an A-BMI of 30.3 (6.2) (t test, P < 0.001). Agreement among Centers for Disease Control BMI categories was moderate (κ = 0.48); 39.7% of BMI categories were underestimated without adjusting for amputations. Functional measures did not differ among BMI/A-BMI categories (P > 0.05). A larger than random proportion categorized as overweight by BMI dieted (χ, P < 0.05), and people categorized as overweight by A-BMI did not (38.3% classified as normal BMI). Functional abilities did not differ among BMI categories (Kruskal-Wallis and analysis of variance, P > 0.05). People with limb loss using BMI may underestimate weight-related health; a Web-based A-BMI calculator may help monitor weight to make dieting decisions.
Collins, Kelsey H; Sharif, Behnam; Sanmartin, Claudia; Reimer, Raylene A; Herzog, Walter; Chin, Rick; Marshall, Deborah A
2017-03-01
To evaluate the association between percent body fat (%BF) and body mass index (BMI) among BMI-defined non-obese individuals between 40 and 69 years of age using a population-based Canadian sample. Cross-sectional data from the Canadian Health Measures Survey (2007 and 2009) was used to select all middle-aged individuals with BMI < 30 kg/m2 (n = 2,656). %BF was determined from anthropometric skinfolds and categorized according to sex-specific equations. Association of other anthropometry measures and metabolic markers were evaluated across different %BF categories. Significance of proportions was evaluated using chi-squared and Bonferroni-adjusted Wald test. Diagnostic performance measures of BMI-defined overweight categories compared to those defined by %BF were reported. The majority (69%) of the sample was %BF-defined overweight/obese, while 55% were BMI-defined overweight. BMI category was not concordant with %BF classification for 30% of the population. The greatest discordance between %BF and BMI was observed among %BF-defined overweight/obese women (32%). Sensitivity and specificity of BMI-defined overweight compared to %BF-defined overweight/obese were (58%, 94%) among females and (82%, 59%) among males respectively. According to the estimated negative predictive value, if an individual is categorized as BMI-defined non-obese, he/she has a 52% chance of being in the %BF-defined overweight/obese category. Middle-aged individuals classified as normal by BMI may be overweight/obese based on measures of %BF. These individuals may be at risk for chronic diseases, but would not be identified as such based on their BMI classification. Quantifying %BF in this group could inform targeted strategies for disease prevention.
Ng, Suan Peng; Korda, Rosemary; Clements, Mark; Latz, Isabel; Bauman, Adrian; Bambrick, Hilary; Liu, Bette; Rogers, Kris; Herbert, Nicol; Banks, Emily
2011-12-01
Body mass index (BMI) is an important measure of adiposity. While BMI derived from self-reported data generally agrees well with that derived from measured values, evidence from Australia is limited, particularly for the elderly. We compared self-reported with measured height and weight in a random sample of 608 individuals aged ≥ 45 from the 45 and Up Study, an Australian population-based cohort study. We assessed degree of agreement and correlation between measures, and calculated sensitivity and specificity to quantify BMI category misclassification. On average, in males and females respectively, height was overestimated by 1.24 cm (95% CI: 0.75-1.72) and 0.59 cm (0.26-0.92); weight was underestimated by 1.68 kg (-1.99- -1.36) and 1.02 kg (-1.24- -0.80); and BMI based on self-reported measures was underestimated by 0.90 kg/m2 (-1.09- -0.70) and 0.60 kg/m2 (-0.75- -0.45). Underestimation increased with increasing measured BMI. There were strong correlations between self-reported and measured height, weight and BMI (r=0.95, 0.99 and 0.95, respectively, p<0.001). While there was excellent agreement between BMI categories from self-reported and measured data (kappa=0.80), obesity prevalence was underestimated. Findings did not differ substantially between middle-aged and elderly participants. Self-reported data on height and weight quantify body size appropriately in middle-aged and elderly individuals for relative measures, such as quantiles of BMI. However, caution is necessary when reporting on absolute BMI and standard BMI categories, based on self-reported data, particularly since use of such data is likely to result in underestimation of the prevalence of obesity. © 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia.
Associations between Three School-Based Measures of Health: Is BMI Enough?
ERIC Educational Resources Information Center
Morgan, Emily H.; Houser, Robert F.; Au, Lauren E.; Sacheck, Jennifer M.
2013-01-01
School-based body mass index (BMI) notification programs are often used to raise parental awareness of childhood overweight and obesity, but how BMI results are associated with physical fitness and diet is less clear. This study examined the relationship between BMI, fitness, and diet quality in a diverse sample of urban schoolchildren…
Monnereau, Claire; Vogelezang, Suzanne; Kruithof, Claudia J; Jaddoe, Vincent W V; Felix, Janine F
2016-08-18
Results from genome-wide association studies (GWAS) identified many loci and biological pathways that influence adult body mass index (BMI). We aimed to identify if biological pathways related to adult BMI also affect infant growth and childhood adiposity measures. We used data from a population-based prospective cohort study among 3,975 children with a mean age of 6 years. Genetic risk scores were constructed based on the 97 SNPs associated with adult BMI previously identified with GWAS and on 28 BMI related biological pathways based on subsets of these 97 SNPs. Outcomes were infant peak weight velocity, BMI at adiposity peak and age at adiposity peak, and childhood BMI, total fat mass percentage, android/gynoid fat ratio, and preperitoneal fat area. Analyses were performed using linear regression models. A higher overall adult BMI risk score was associated with infant BMI at adiposity peak and childhood BMI, total fat mass, android/gynoid fat ratio, and preperitoneal fat area (all p-values < 0.05). Analyses focused on specific biological pathways showed that the membrane proteins genetic risk score was associated with infant peak weight velocity, and the genetic risk scores related to neuronal developmental processes, hypothalamic processes, cyclicAMP, WNT-signaling, membrane proteins, monogenic obesity and/or energy homeostasis, glucose homeostasis, cell cycle, and muscle biology pathways were associated with childhood adiposity measures (all p-values <0.05). None of the pathways were associated with childhood preperitoneal fat area. A genetic risk score based on 97 SNPs related to adult BMI was associated with peak weight velocity during infancy and general and abdominal fat measurements at the age of 6 years. Risk scores based on genetic variants linked to specific biological pathways, including central nervous system and hypothalamic processes, influence body fat development from early life onwards.
Esco, Michael R; Nickerson, Brett S; Bicard, Sara C; Russell, Angela R; Bishop, Phillip A
2016-01-01
The purpose of this investigation was to evaluate measurements of body-fat percentage (BF%) in 4 body-mass-index- (BMI) -based equations and dual-energy X-ray absorptiometry (DXA) in individuals with Down syndrome (DS). Ten male and 10 female adults with DS volunteered for this study. Four regression equations for estimating BF% based on BMI previously developed by Deurenberg et al. (DE(BMI-BF%)), Gallagher et al. (GA(BMI-BF%)), Womersley & Durnin (WO(BMI-BF%)), and Jackson et al. (JA(BMI-BF%)) were compared with DXA. There was no significant difference (p = .659) in mean BF% values between JA(BMI-BF%) (BF% = 40.80% ± 6.3%) and DXA (39.90% ± 11.1%), while DE(BMI-BF%) (34.40% ± 9.0%), WO(BMI-BF%) (35.10% ± 9.4%), and GA(BMI-BF%) (35.10% ± 9.4%) were significantly (p < .001) lower. The limits of agreement (1.96 SD of the constant error) varied from 9.80% to 16.20%. Therefore, BMI-based BF% equations should not be used in individuals with DS.
Know Your Body Mass Index (BMI)
... Issues Special Section Know Your Body Mass Index (BMI) Past Issues / Winter 2007 Table of Contents For ... it pays to understand your body mass index (BMI), a measure of body fat based on height ...
ERIC Educational Resources Information Center
Lazorick, Suzanne; Fang, Xiangming; Hardison, George T.; Crawford, Yancey
2015-01-01
Background: Motivating Adolescents with Technology to CHOOSE Health™ (MATCH) is an educational and behavioral intervention in seventh grade. Methods: Teachers in 2 schools delivered the MATCH curriculum, with 1 control school. Using a quasi-experimental design, outcome measures included lessons completed, body mass index (BMI), BMI z-score (zBMI),…
Dutton, Daniel J; McLaren, Lindsay
2014-05-06
National data on body mass index (BMI), computed from self-reported height and weight, is readily available for many populations including the Canadian population. Because self-reported weight is found to be systematically under-reported, it has been proposed that the bias in self-reported BMI can be corrected using equations derived from data sets which include both self-reported and measured height and weight. Such correction equations have been developed and adopted. We aim to evaluate the usefulness (i.e., distributional similarity; sensitivity and specificity; and predictive utility vis-à-vis disease outcomes) of existing and new correction equations in population-based research. The Canadian Community Health Surveys from 2005 and 2008 include both measured and self-reported values of height and weight, which allows for construction and evaluation of correction equations. We focused on adults age 18-65, and compared three correction equations (two correcting weight only, and one correcting BMI) against self-reported and measured BMI. We first compared population distributions of BMI. Second, we compared the sensitivity and specificity of self-reported BMI and corrected BMI against measured BMI. Third, we compared the self-reported and corrected BMI in terms of association with health outcomes using logistic regression. All corrections outperformed self-report when estimating the full BMI distribution; the weight-only correction outperformed the BMI-only correction for females in the 23-28 kg/m2 BMI range. In terms of sensitivity/specificity, when estimating obesity prevalence, corrected values of BMI (from any equation) were superior to self-report. In terms of modelling BMI-disease outcome associations, findings were mixed, with no correction proving consistently superior to self-report. If researchers are interested in modelling the full population distribution of BMI, or estimating the prevalence of obesity in a population, then a correction of any kind included in this study is recommended. If the researcher is interested in using BMI as a predictor variable for modelling disease, then both self-reported and corrected BMI result in biased estimates of association.
The validity of self-reported vs. measured body weight and height and the effect of self-perception.
Gokler, Mehmet Enes; Bugrul, Necati; Sarı, Ahu Ozturk; Metintas, Selma
2018-01-01
The objective was to assess the validity of self-reported body weight and height and the possible influence of self-perception of body mass index (BMI) status on the actual BMI during the adolescent period. This cross sectional study was conducted on 3918 high school students. Accurate BMI perception occurred when the student's self-perception of their BMI status did not differ from their actual BMI based on measured height and weight. Agreement between the measured and self-reported body height and weight and BMI values was determined using the Bland-Altman metod. To determine the effects of "a good level of agreement", hierarchical logistic regression models were used. Among male students who reported their BMI in the normal region, 2.8% were measured as overweight while 0.6% of them were measured as obese. For females in the same group, these percentages were 1.3% and 0.4% respectively. Among male students who perceived their BMI in the normal region, 8.5% were measured as overweight while 0.4% of them were measured as obese. For females these percentages were 25.6% and 1.8% respectively. According to logistic regression analysis, residence and accurate BMI perception were significantly associated with "good agreement" ( p ≤ 0.001). The results of this study demonstrated that in determining obesity and overweight statuses, non-accurate weight perception is a potential risk for students.
ERIC Educational Resources Information Center
Sandoval, Anna; Turner, Lindsey; Nicholson, Lisa; Chriqui, Jamie; Tortorelli, Megan; Chaloupka, Frank J.
2012-01-01
Background: School-based measurement of children's body mass index (BMI) is a useful tool for tracking childhood obesity rates, and may be an effective intervention strategy for reducing the increasing trends in obesity. This article examines the relationship between state law, district policy, and school-level BMI measurement practices.…
Aeberli, I; Gut-Knabenhans, M; Kusche-Ammann, R S; Molinari, L; Zimmermann, M B
2013-02-01
Body mass index (BMI) and waist circumference (WC) are widely used to predict % body fat (BF) and classify degrees of pediatric adiposity. However, both measures have limitations. The aim of this study was to evaluate whether a combination of WC and BMI would more accurately predict %BF than either alone. In a nationally representative sample of 2,303 6- to 13-year-old Swiss children, weight, height, and WC were measured, and %BF was determined from multiple skinfold thicknesses. Regression and receiver operating characteristic (ROC) curves were used to evaluate the combination of WC and BMI in predicting %BF against WC or BMI alone. An optimized composite score (CS) was generated. A quadratic polynomial combination of WC and BMI led to a better prediction of %BF (r (2) = 0.68) compared with the two measures alone (r (2) = 0.58-0.62). The areas under the ROC curve for the CS [0.6 * WC-SDS + 0.4 * BMI-SDS] ranged from 0.962 ± 0.0053 (overweight girls) to 0.982 ± 0.0046 (obese boys) and were somewhat greater than the AUCs for either BMI or WC alone. At a given specificity, the sensitivity of the prediction of overweight and obesity based on the CS was higher than that based on either WC or BMI alone, although the improvement was small. Both BMI and WC are good predictors of %BF in primary school children. However, a composite score incorporating both measures increased sensitivity at a constant specificity as compared to the individual measures. It may therefore be a useful tool for clinical and epidemiological studies of pediatric adiposity.
Lazorick, Suzanne; Fang, Xiangming; Hardison, George T; Crawford, Yancey
2015-10-01
Motivating Adolescents with Technology to CHOOSE Health™ (MATCH) is an educational and behavioral intervention in seventh grade. Teachers in 2 schools delivered the MATCH curriculum, with 1 control school. Using a quasi-experimental design, outcome measures included lessons completed, body mass index (BMI), BMI z-score (zBMI), BMI percentile, weight category, and self-reported lifestyle behaviors. We used multiple regression models to compare group results. For the MATCH group (N = 189), teachers provided lessons over 14 weeks; the control group (N = 173) received usual curriculum. Postintervention, the MATCH group had significant decreases in BMI measures compared with the control. In combined overweight and obese participants, the mean (95% confidence interval) zBMI change was -0.05 (-0.07, -0.03) in MATCH and -0.01 (-0.04, 0.02) in control, p = .034 between groups. After 1 year, improvements are sustained: for the overweight subgroup, the mean zBMI decreased from 1.34 to 1.26 post-MATCH, then to 1.26 after 1 year; for the obese subgroup, mean zBMI = 2.16, to 2.13 post-MATCH to 2.08 after 1 year. Self-reported lifestyle behaviors showed no differences. MATCH integrates theory-based strategies into standard curriculum delivered by teachers. No prior middle-school intervention has shown sustained change in BMI measures. MATCH warrants further study as a strategy to address obesity. © 2015, American School Health Association.
Kuehnapfel, Andreas; Ahnert, Peter; Loeffler, Markus; Scholz, Markus
2017-02-01
Body surface area is a physiological quantity relevant for many medical applications. In clinical practice, it is determined by empirical formulae. 3D laser-based anthropometry provides an easy and effective way to measure body surface area but is not ubiquitously available. We used data from laser-based anthropometry from a population-based study to assess validity of published and commonly used empirical formulae. We performed a large population-based study on adults collecting classical anthropometric measurements and 3D body surface assessments (N = 1435). We determined reliability of the 3D body surface assessment and validity of 18 different empirical formulae proposed in the literature. The performance of these formulae is studied in subsets of sex and BMI. Finally, improvements of parameter settings of formulae and adjustments for sex and BMI were considered. 3D body surface measurements show excellent intra- and inter-rater reliability of 0.998 (overall concordance correlation coefficient, OCCC was used as measure of agreement). Empirical formulae of Fujimoto and Watanabe, Shuter and Aslani and Sendroy and Cecchini performed best with excellent concordance with OCCC > 0.949 even in subgroups of sex and BMI. Re-parametrization of formulae and adjustment for sex and BMI slightly improved results. In adults, 3D laser-based body surface assessment is a reliable alternative to estimation by empirical formulae. However, there are empirical formulae showing excellent results even in subgroups of sex and BMI with only little room for improvement.
2014-01-01
Background National data on body mass index (BMI), computed from self-reported height and weight, is readily available for many populations including the Canadian population. Because self-reported weight is found to be systematically under-reported, it has been proposed that the bias in self-reported BMI can be corrected using equations derived from data sets which include both self-reported and measured height and weight. Such correction equations have been developed and adopted. We aim to evaluate the usefulness (i.e., distributional similarity; sensitivity and specificity; and predictive utility vis-à-vis disease outcomes) of existing and new correction equations in population-based research. Methods The Canadian Community Health Surveys from 2005 and 2008 include both measured and self-reported values of height and weight, which allows for construction and evaluation of correction equations. We focused on adults age 18–65, and compared three correction equations (two correcting weight only, and one correcting BMI) against self-reported and measured BMI. We first compared population distributions of BMI. Second, we compared the sensitivity and specificity of self-reported BMI and corrected BMI against measured BMI. Third, we compared the self-reported and corrected BMI in terms of association with health outcomes using logistic regression. Results All corrections outperformed self-report when estimating the full BMI distribution; the weight-only correction outperformed the BMI-only correction for females in the 23–28 kg/m2 BMI range. In terms of sensitivity/specificity, when estimating obesity prevalence, corrected values of BMI (from any equation) were superior to self-report. In terms of modelling BMI-disease outcome associations, findings were mixed, with no correction proving consistently superior to self-report. Conclusions If researchers are interested in modelling the full population distribution of BMI, or estimating the prevalence of obesity in a population, then a correction of any kind included in this study is recommended. If the researcher is interested in using BMI as a predictor variable for modelling disease, then both self-reported and corrected BMI result in biased estimates of association. PMID:24885210
Butler, Rose; McClinchy, Jane; Morreale-Parker, Claudia; Marsh, Wendy; Rennie, Kirsten L
2017-12-01
There is currently no consensus on which measure of height should be used in older people's body mass index (BMI) calculation. Most estimates of nutritional status include a measurement of body weight and height which should be reliable and accurate, however at present several different methods are used interchangeably. BMI, a key marker in malnutrition assessment, does not reflect age-related changes in height or changes in body composition such as loss of muscle mass or presence of oedema. The aim of this pilot study was to assess how the use of direct and surrogate measures of height impacts on BMI calculation in people aged ≥75 years. A cross-sectional study of 64 free-living older people (75-96 yrs) quantified height by two direct measurements, current height (H C ), and self-report (H R ) and surrogate equations using knee height (H K ) and ulna length (H U ). BMI calculated from current height measurement (BMI C ) was compared with BMI calculated using self-reported height (BMI R ) and height estimated from surrogate equations for knee height (BMI K ) and ulna length (BMI U ). Median difference of BMI C -BMI R was 2.31 kg/m 2 . BMI K gave the closest correlation to BMI C . The percentage of study participants identified at increased risk of under-nutrition (BMI < 20 kg/m 2 ) varied depending on which measure of height was used to calculate BMI; from 5% (BMI C ), 7.8% (BMI K ), 12.5% (BMI U ), to 14% (BMI R ) respectively. The results of this pilot study in a relatively healthy sample of older people suggest that interchangeable use of current and reported height in people ≥75 years can introduce substantial significant systematic error. This discrepancy could impact nutritional assessment of older people in poor health and lead to misclassification during nutritional screening if other visual and clinical clues are not taken into account. This could result in long-term clinical and cost implications if individuals who need nutrition support are not correctly identified. A consensus is required on which method should be used to quantify height in older people to improve accuracy of nutritional assessment and clinical care. Copyright © 2017 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.
Frayon, Stéphane; Cavaloc, Yolande; Wattelez, Guillaume; Cherrier, Sophie; Lerrant, Yannick; Ashwell, Margaret; Galy, Olivier
2017-12-15
Waist-to-height ratio (WHtR) is a simple anthropometric proxy for central body fat; it is easy to use from a health education perspective. A WHtR value >0.5 has been proposed as a first level indicator of health risk. The first aim of this study was to compare WHtR with values based on body mass index (BMI) in their prediction of the percentage of body fat (%BF) in a multi-ethnic population of adolescents from New-Caledonia (age 11-16year). Secondly, to see whether WHtR >0.5 could be used to detect overfat subjects whose BMI was in the normal range. Body fat percentage (%BF, based on skinfold measurements), BMI and WHtR were calculated for New Caledonian adolescents from different ethnic backgrounds. The relationship between %BF, BMI and WHtR was determined using quadratic models and from linear regression equations. The sensitivity and specificity of WHtR for detecting overfat adolescents (%BF >25% in boys and >30% in girls) were assessed and compared with those from the BMI-based classification. WHtR showed better correlation with %BF than BMI-based measurements. WHtR >0.5 was also more accurate than BMI in detecting overfat adolescents. Moreover, using this boundary value, 8% of adolescents in the normal BMI range were shown to be over-fat. WHtR is a good anthropometric proxy to detect overfat adolescents. Detecting overfat adolescents within the normal BMI range is particularly important for preventing non communicable diseases. We therefore recommend using WHtR for health education programs in the Pacific area and more generally. Copyright © 2017 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
Wert, David M.; Hile, Elizabeth S.; Studenski, Stephanie A.; Brach, Jennifer S.
2011-01-01
Background The incidence of obesity is increasing in older adults, with associated worsening in the burden of disability. Little is known about the impact of body mass index (BMI) on self-report and performance-based balance and mobility measures in older adults. Objective The purposes of this study were (1) to examine the association of BMI with measures of balance and mobility and (2) to explore potential explanatory factors. Design This was a cross-sectional, observational study. Methods Older adults (mean age=77.6 years) who participated in an ongoing observational study (N=120) were classified as normal weight (BMI=18.5–24.9 kg/m2), overweight (BMI=25.0–29.9 kg/m2), moderately obese (BMI=30.0–34.9 kg/m2), or severely obese (BMI≥35 kg/m2). Body mass index data were missing for one individual; thus, data for 119 participants were included in the analysis. Mobility and balance were assessed using self-report and performance-based measures and were compared among weight groups using analysis of variance and chi-square analysis for categorical data. Multiple linear regression analysis was used to examine the association among BMI, mobility, and balance after controlling for potential confounding variables. Results Compared with participants who were of normal weight or overweight, those with moderate or severe obesity were less likely to report their mobility as very good or excellent (52%, 55%, 39%, and 6%, respectively); however, there was no difference in self-report of balance among weight groups. Participants with severe obesity (n=17) had the lowest levels of mobility on the performance-based measures, followed by those who were moderately obese (n=31), overweight (n=42), and of normal weight (n=29). There were no differences on performance-based balance measures among weight groups. After controlling for age, sex, minority status, physical activity level, education level, and comorbid conditions, BMI still significantly contributed to mobility (β=−.02, adjusted R2=.41). Conclusions Although older adults with severe obesity were most impaired, those with less severe obesity also demonstrated significant decrements in mobility. PMID:21680770
Calculate Your Body Mass Index
... Professional Resources Calculate Your Body Mass Index Body mass index (BMI) is a measure of body fat based on height and weight that applies to adult men and women. Enter your weight and height using standard or metric measures. Select "Compute BMI" and your ...
Madsen, Kristine A; Linchey, Jennifer; Ritchie, Lorrene; Thompson, Hannah R
2017-07-01
In the U.S., 25 states conduct body mass index (BMI) screening in schools, just under half of which report results to parents. While some experts recommend the practice, evidence demonstrating its efficacy to reduce obesity is lacking, and concerns about weight-related stigma have been raised. The Fit Study is a 3-arm cluster-randomized trial assessing the effectiveness of school-based BMI screening and reporting in reducing pediatric obesity and identifying unintended consequences. Seventy-nine elementary and middle schools across California were randomized to 1 of 3 Arms: 1) BMI screening and reporting; 2) BMI screening only; or 3) no BMI screening or reporting. In Arm 1 schools, students were further randomized to receive reports with BMI results alone or both BMI and fitness test results. Over 3 consecutive years, staff in schools in Arms 1 and 2 will measure students' BMI (grades 3-8) and additional aspects of fitness (grades 5-8), and students in grades 4-8 in all Arms will complete surveys to assess weight-based stigmatization. Change in BMI z-score will be compared between Arm 1 and Arm 2 to determine the impact of BMI reporting on weight status, with sub-analyses stratified by report type (BMI results alone versus BMI plus fitness results) and by race/ethnicity. The potential for BMI reports to lead to weight-based stigma will be assessed by comparing student survey results among the 3 study Arms. This study will provide evidence on both the benefit and potential unintended harms of school-based BMI screening and reporting. Copyright © 2017. Published by Elsevier Inc.
Etchison, William C; Bloodgood, Elizabeth A; Minton, Cholly P; Thompson, Nancy J; Collins, Mary Ann; Hunter, Stephen C; Dai, Hongying
2011-05-01
Body mass index (BMI) is widely accepted in determining obesity. Skinfold thickness measurements have been commonly used to determine percentage of body fat. The authors hypothesize that because BMI does not measure fat directly but relies on body weight alone, a large percentage of athletic adolescents will be misclassified as obese by BMI. Cross-sectional study. To compare BMI and skinfold measurements as indicators for obesity in the adolescent athletic population, anthropometric data (height, weight, percentage body fat, age, and sex) were recorded from 33 896 student athletes (average age, 15 years; range, 11-19 years) during preparticipation physical examinations from 1985 to 2003. BMI was calculated from height and weight. Percentage of body fat was determined by measuring skinfold thickness. According to their BMI percentile, 13.31% of adolescent athletes were obese. Using the skinfold method, only 5.95% were obese. Of those classified as obese by the BMI, 62% were considered false positives by the skinfold method. In contrast, there was a 99% probability that the nonobese by BMI would not be obese by the skinfold method (negative predictive value = 0.99). BMI is a measurement of relative body weight, not body composition. Because lean mass weighs far more than fat, many adolescent athletes are incorrectly classified as obese based on BMI. Skinfold testing provides a more accurate body assessment than BMI in adolescent athletes. Correct body composition data can help to provide better diet and activity guidelines and prevent the psychological problems associated with being labeled as obese.
Gurka, Matthew J; Filipp, Stephanie L; Musani, Solomon K; Sims, Mario; DeBoer, Mark D
2018-06-01
Estimates of adiposity in evaluating the metabolic syndrome (MetS) have traditionally utilized measures of waist circumference (WC), whereas body mass index (BMI) is more commonly used clinically. Our objective was to determine if a MetS severity Z-score employing BMI as its measure of adiposity (MetS-Z-BMI) would perform similarly to a WC-based score (MetS-Z-WC) in predicting future disease. To formulate the MetS-Z-BMI, we performed confirmatory factor analysis on a sex- and race/ethnicity-specific basis on MetS-related data for 6870 adult participants of the National Health and Nutrition Survey 1999-2010. We then validated this score and compared it to MetS-Z-WC in assessing correlations with future coronary heart disease (CHD) and Type 2 diabetes mellitus (T2DM) using Cox proportional hazard analysis of 13,094 participants of the Atherosclerosis Risk in Communities study and Jackson Heart Study. Loading factors, which represent the relative contribution of each component to the latent MetS factor, were lower for BMI than for WC in formulating the two respective scores (MetS-Z-BMI and MetS-Z-WC). Nevertheless, MetS-Z-BMI and MetS-Z-WC exhibited similar hazard ratios (HR) toward future disease. For each one standard-deviation-unit increase in MetS-Z-BMI, HR for CHD was 1.76 (95% confidence interval [CI]: 1.65, 1.88) and HR for T2DM was 3.39 (CI 3.16, 3.63) (both p < 0.0001). There were no meaningful differences between the MetS-Z-WC and MetS-Z-BMI scores in their associations with future CHD and T2DM. A MetS severity Z-score utilizing BMI as its measure of adiposity operated similarly to a WC-based score in predicting future CHD and T2DM, suggesting overall similarity in MetS-based risk as estimated by both measures of adiposity. This indicates potential clinical usefulness of MetS-Z-BMI in assessing and following MetS-related risk over time. Copyright © 2018 Elsevier Inc. All rights reserved.
Quantifying the role of motor imagery in brain-machine interfaces
NASA Astrophysics Data System (ADS)
Marchesotti, Silvia; Bassolino, Michela; Serino, Andrea; Bleuler, Hannes; Blanke, Olaf
2016-04-01
Despite technical advances in brain machine interfaces (BMI), for as-yet unknown reasons the ability to control a BMI remains limited to a subset of users. We investigate whether individual differences in BMI control based on motor imagery (MI) are related to differences in MI ability. We assessed whether differences in kinesthetic and visual MI, in the behavioral accuracy of MI, and in electroencephalographic variables, were able to differentiate between high- versus low-aptitude BMI users. High-aptitude BMI users showed higher MI accuracy as captured by subjective and behavioral measurements, pointing to a prominent role of kinesthetic rather than visual imagery. Additionally, for the first time, we applied mental chronometry, a measure quantifying the degree to which imagined and executed movements share a similar temporal profile. We also identified enhanced lateralized μ-band oscillations over sensorimotor cortices during MI in high- versus low-aptitude BMI users. These findings reveal that subjective, behavioral, and EEG measurements of MI are intimately linked to BMI control. We propose that poor BMI control cannot be ascribed only to intrinsic limitations of EEG recordings and that specific questionnaires and mental chronometry can be used as predictors of BMI performance (without the need to record EEG activity).
Quantifying the role of motor imagery in brain-machine interfaces
Marchesotti, Silvia; Bassolino, Michela; Serino, Andrea; Bleuler, Hannes; Blanke, Olaf
2016-01-01
Despite technical advances in brain machine interfaces (BMI), for as-yet unknown reasons the ability to control a BMI remains limited to a subset of users. We investigate whether individual differences in BMI control based on motor imagery (MI) are related to differences in MI ability. We assessed whether differences in kinesthetic and visual MI, in the behavioral accuracy of MI, and in electroencephalographic variables, were able to differentiate between high- versus low-aptitude BMI users. High-aptitude BMI users showed higher MI accuracy as captured by subjective and behavioral measurements, pointing to a prominent role of kinesthetic rather than visual imagery. Additionally, for the first time, we applied mental chronometry, a measure quantifying the degree to which imagined and executed movements share a similar temporal profile. We also identified enhanced lateralized μ-band oscillations over sensorimotor cortices during MI in high- versus low-aptitude BMI users. These findings reveal that subjective, behavioral, and EEG measurements of MI are intimately linked to BMI control. We propose that poor BMI control cannot be ascribed only to intrinsic limitations of EEG recordings and that specific questionnaires and mental chronometry can be used as predictors of BMI performance (without the need to record EEG activity). PMID:27052520
Seyfart, Tom; Friedrich, Nele; Kische, Hanna; Bülow, Robin; Wallaschofski, Henri; Völzke, Henry; Nauck, Matthias; Keevil, Brian G; Haring, Robin
2018-01-01
The aim of this study was to evaluate the association of sex hormones with anthropometry in a large population-based cohort, with liquid chromatography-mass spectrometry (LCMS)-based sex hormone measurements and imaging markers. Cross-sectional data from 957 men and women from the population-based Study of Health in Pomerania (SHIP) were used. Associations of a comprehensive panel of LCMS-measured sex hormones with anthropometric parameters, laboratory, and imaging markers were analyzed in multivariable regression models for the full sample and stratified by sex. Sex hormone measures included total testosterone (TT), free testosterone (fT), estrone and estradiol, androstenedione (ASD), dehydroepiandrosterone sulfate (DHEAS), and sex hormone-binding globulin (SHBG). Domains of anthropometry included physical measures (body-mass-index (BMI), waist circumference, waist-to-height-ratio, waist-to-hip-ratio, and hip circumference), laboratory measures of adipokines (leptin and vaspin), and magnet resonance imaging-based measures (visceral and subcutaneous adipose tissue). In men, inverse associations between all considered anthropometric parameters with TT were found: BMI (β-coefficient, standard error (SE): -0.159, 0.037), waist-circumference (β-coefficient, SE: -0.892, 0.292), subcutaneous adipose tissue (β-coefficient, SE: -0.156, 0.023), and leptin (β-coefficient, SE: -0.046, 0.009). In women TT (β-coefficient, SE: 1.356, 0.615) and estrone (β-coefficient, SE: 0.014, 0.005) were positively associated with BMI. In analyses of variance, BMI and leptin were inversely associated with TT, ASD, and DHEAS in men, but positively associated with estrone. In women, BMI and leptin were positively associated with all sex hormones. The present population-based study confirmed and extended previously reported sex-specific associations between sex hormones and various anthropometric markers of overweight and obesity.
Large calf circumference indicates non-sarcopenia despite body mass
Kusaka, Satomi; Takahashi, Tetsuya; Hiyama, Yoshinori; Kusumoto, Yasuaki; Tsuchiya, Junko; Umeda, Masaru
2017-01-01
[Purpose] The purpose of this study is to evaluate the applicability of the calf circumference as a tool for screening sarcopenia. [Subjects and Methods] One hundred sixteen community-dwelling elderly females were enrolled. Calf circumference of the dominant leg was measured using a plastic measuring tape. Subjects were divided into 3 groups based on body mass index (BMI); subjects with the values for BMI <18.5 kg/m2; those with BMI 18.5 to 25.0; those with BMI ≥25.0 kg/m2. Positive predictive value and negative predictive value of sarcopenia were calculated based on the obtained cut off values of calf circumference and the diagnosis of sarcopenia in each group. [Results] Prevalence rate of sarcopenia was 9.4% (n=10). Cut off value of the calf circumference was 32.8 cm (sensitivity: 73.0%, specificity: 80.0%, AUC: 0.792). Each BMI group showed high negative predictive value of sarcopenia based on the calf circumference cut off value of 32.8 cm. [Conclusion] These results suggested that to identify non-sarcopenia by larger calf circumference is more reasonable and useful than to identify sarcopenia due to the smaller calf circumference regardless of BMI. PMID:29200625
Bhaskaran, Krishnan; Forbes, Harriet J; Douglas, Ian; Leon, David A; Smeeth, Liam
2013-01-01
Objectives To assess the completeness and representativeness of body mass index (BMI) data in the Clinical Practice Research Datalink (CPRD), and determine an optimal strategy for their use. Design Descriptive study. Setting Electronic healthcare records from primary care. Participants A million patient random sample from the UK CPRD primary care database, aged ≥16 years. Primary and secondary outcome measures BMI completeness in CPRD was evaluated by age, sex and calendar period. CPRD-based summary BMI statistics for each calendar year (2003–2010) were age-standardised and sex-standardised and compared with equivalent statistics from the Health Survey for England (HSE). Results BMI completeness increased over calendar time from 37% in 1990–1994 to 77% in 2005–2011, was higher among females and increased with age. When BMI at specific time points was assigned based on the most recent record, calendar–year-specific mean BMI statistics underestimated equivalent HSE statistics by 0.75–1.1 kg/m2. Restriction to those with a recent (≤3 years) BMI resulted in mean BMI estimates closer to HSE (≤0.28 kg/m2 underestimation), but excluded up to 47% of patients. An alternative strategy of imputing up-to-date BMI based on modelled changes in BMI over time since the last available record also led to mean BMI estimates that were close to HSE (≤0.37 kg/m2 underestimation). Conclusions Completeness of BMI in CPRD increased over time and varied by age and sex. At a given point in time, a large proportion of the most recent BMIs are unlikely to reflect current BMI; consequent BMI misclassification might be reduced by employing model-based imputation of current BMI. PMID:24038008
Obesity-Related Metabolic Risk in Sedentary Hispanic Adolescent Girls with Normal BMI.
van der Heijden, Gert-Jan; Wang, Zhiyue J; Chu, Zili D; Haymond, Morey; Sauer, Pieter J J; Sunehag, Agneta L
2018-06-15
Hispanic adolescent girls with normal BMI frequently have high body fat %. Without knowledge of body fat content and distribution, their risk for metabolic complications is unknown. We measured metabolic risk indicators and abdominal fat distribution in post-pubertal Hispanic adolescent girls with Normal BMI (N-BMI: BMI < 85th percentile) and compared these indicators between girls with Normal BMI and High Fat content (N-BMI-HF: body fat ≥ 27%; n = 15) and Normal BMI and Normal Fat content (N-BMI-NF: body fat < 27%; n = 8). Plasma concentrations of glucose, insulin, adiponectin, leptin and Hs-CRP were determined. Insulin resistance was calculated using an oral glucose tolerance test. Body fat % was measured by DXA and subcutaneous, visceral and hepatic fat by MRI/MRS. The N-BMI-HF girls had increased abdominal and hepatic fat content and increased insulin resistance, plasma leptin and Hs-CRP concentrations ( p < 0.05) as compared to their N-BMI-NF counterparts. In N-BMI girls, insulin resistance, plasma insulin and leptin correlated with BMI and body fat % ( p < 0.05). This research confirms the necessity of the development of BMI and body fat % cut-off criteria per sex, age and racial/ethnic group based on metabolic risk factors to optimize the effectiveness of metabolic risk screening procedures.
Nutritional status in sick children and adolescents is not accurately reflected by BMI-SDS.
Fusch, Gerhard; Raja, Preeya; Dung, Nguyen Quang; Karaolis-Danckert, Nadina; Barr, Ronald; Fusch, Christoph
2013-01-01
Nutritional status provides helpful information of disease severity and treatment effectiveness. Body mass index standard deviation scores (BMI-SDS) provide an approximation of body composition and thus are frequently used to classify nutritional status of sick children and adolescents. However, the accuracy of estimating body composition in this population using BMI-SDS has not been assessed. Thus, this study aims to evaluate the accuracy of nutritional status classification in sick infants and adolescents using BMI-SDS, upon comparison to classification using percentage body fat (%BF) reference charts. BMI-SDS was calculated from anthropometric measurements and %BF was measured using dual-energy x-ray absorptiometry (DXA) for 393 sick children and adolescents (5 months-18 years). Subjects were classified by nutritional status (underweight, normal weight, overweight, and obese), using 2 methods: (1) BMI-SDS, based on age- and gender-specific percentiles, and (2) %BF reference charts (standard). Linear regression and a correlation analysis were conducted to compare agreement between both methods of nutritional status classification. %BF reference value comparisons were also made between 3 independent sources based on German, Canadian, and American study populations. Correlation between nutritional status classification by BMI-SDS and %BF agreed moderately (r (2) = 0.75, 0.76 in boys and girls, respectively). The misclassification of nutritional status in sick children and adolescents using BMI-SDS was 27% when using German %BF references. Similar rates observed when using Canadian and American %BF references (24% and 23%, respectively). Using BMI-SDS to determine nutritional status in a sick population is not considered an appropriate clinical tool for identifying individual underweight or overweight children or adolescents. However, BMI-SDS may be appropriate for longitudinal measurements or for screening purposes in large field studies. When accurate nutritional status classification of a sick patient is needed for clinical purposes, nutritional status will be assessed more accurately using methods that accurately measure %BF, such as DXA.
French, Simone A; Mitchell, Nathan R; Wolfson, Julian; Finlayson, Graham; Blundell, John E; Jeffery, Robert W
2013-01-01
Purpose The present research compared a self-report measure of usual eating behaviors with two laboratory-based behavioral measures of food reward and food preference. Methods Eating behaviors were measured among 233 working adults. A self-report measure was the Three Factor Eating Questionnaire (TFEQ) Restraint, Disinhibition and Hunger subscales. Laboratory measures were the (RVF) and Explicit Liking (EL) and Implicit Wanting (IW) for high fat food. Outcome measures were body mass index (BMI), and energy intake measured using three 24-hour dietary recalls. Results Significant bivariate associations were observed between each of the eating behavior measures and energy intake, but only Disinhibition and Hunger were associated with BMI. Multiple regression results showed RVF and EL and IW predicted energy intake independent of the TFEQ scales but did not predict BMI. Conclusion Laboratory and self-report measures capture unique aspects of individual differences in eating behaviors that are associated with energy intake. PMID:24096082
Heo, Moonseong; Wylie-Rosett, Judith; Pietrobelli, Angelo; Kabat, Geoffrey C.; Rohan, Thomas E.; Faith, Myles S.
2013-01-01
Objective Four body mass index (BMI) metrics—BMI, BMI z-score, BMI percentile, and BMI%—are commonly used as proxy measures for children's adiposity. We sought to determine a BMI metric that is most strongly associated with measured percentage of body fat (%BF) in the US pediatric population stratified by sex, age and race/ethnicity, and to determine cutoffs that maximize the association for each BMI metric. Subjects, Design and Methods %BF was measured by DXA among N=6120 US boys and girls aged 8.0 to 17.9 years old from NHANES 1999-2004. We fit piece-wise linear regression models with cutoffs to %BF data using each BMI metric as the predictor stratified by sex, race/ethnicity and age. The slopes were modeled differently before and after the cutoffs which were determined based on grid searches. Results BMI z-score was in general most strongly associated with %BF for both boys and girls. The associations of the four BMI metrics were lowest for boys aged 12-13.9 years and girls aged 16-17.9 years, and strongest for Mexican-American boys and for non-Hispanic black girls. Overall, the associations were stronger for girls than for boys. In boys, BMI had the lowest association with %BF (R2=0.39) for all ages combined. The fold changes in slopes before and after cutoffs were greatest in general for BMI percentiles regardless of age, sex and race/ethnicity. BMI z-score cutoffs were 0.4 for both boys and girls for all ages combined. Except for BMI, the slopes after the cutoffs were in general greater than those before. Conclusions All BMI metrics were strongly associated with %BF when stratified by age and race/ethnicity except that BMI was the least associated with %BF in boys for all ages combined. Overall, BMI z-score was superior for evaluation of %BF, and its cutoff of 0.4 can also serve as a threshold for careful monitoring of weight status. PMID:23887060
Kwon, Jeannie K; Trexler, Nowice; Reisch, Joan; Pfeifer, Cory M; Ginos, Jason; Powell, Jerry Allen; Veltkamp, Jennifer; Anene, Alvin; Fernandes, Neil; Chen, Li Ern
2017-11-06
To inform selective and efficient use of appendix ultrasound (US) beyond adult parameters of body mass index (BMI) of less than 25 kg/m, we correlate abdominal wall thickness (AWT) with age and BMI to generate parameters for male and female children. Information presented in chart format can aid in the decision to utilize US for the evaluation of appendicitis. In this observational study, 1600 pediatric computed tomography scans of the abdomen and pelvis were analyzed to obtain measurements of AWT in the right lower quadrant. Measurements were correlated by patient age, BMI, and sex. Results and consensus-based recommendations were presented in chart format with color-coded groupings to allow for convenient referencing in the clinical setting. One thousand four hundred eighty-eight computed tomography scans and AWT measurements were included. All age groups with BMI of less than 25 kg/m and all male and female groups younger than 6 years regardless of BMI had median AWT of less than 4 cm resulting in strong recommendation for US. Males older than 6 years and all female age groups with BMI of greater than 30 kg/m and female older than 15 years and BMI of greater than 25 kg/m had AWT of more than 5 cm resulting in low recommendation for US. While the BMI cutoff standard of less than 25 kg/m for usefulness of appendix US holds in the adult population, our data expand the acceptable range in children younger than 9 years regardless of BMI and male children with BMI up to 30 kg/m. Female children younger than 15 years with a BMI up to 30 kg/m may also be amenable to right lower quadrant US based on AWT. These parameters inform selective and efficient use of US for appendix evaluation.
Seyfart, Tom; Friedrich, Nele; Bülow, Robin; Wallaschofski, Henri; Völzke, Henry; Nauck, Matthias; Keevil, Brian G.; Haring, Robin
2018-01-01
Objectives The aim of this study was to evaluate the association of sex hormones with anthropometry in a large population-based cohort, with liquid chromatography-mass spectrometry (LCMS)-based sex hormone measurements and imaging markers. Study design/Main outcome measures Cross-sectional data from 957 men and women from the population-based Study of Health in Pomerania (SHIP) were used. Associations of a comprehensive panel of LCMS-measured sex hormones with anthropometric parameters, laboratory, and imaging markers were analyzed in multivariable regression models for the full sample and stratified by sex. Sex hormone measures included total testosterone (TT), free testosterone (fT), estrone and estradiol, androstenedione (ASD), dehydroepiandrosterone sulfate (DHEAS), and sex hormone-binding globulin (SHBG). Domains of anthropometry included physical measures (body-mass-index (BMI), waist circumference, waist-to-height-ratio, waist-to-hip-ratio, and hip circumference), laboratory measures of adipokines (leptin and vaspin), and magnet resonance imaging-based measures (visceral and subcutaneous adipose tissue). Results In men, inverse associations between all considered anthropometric parameters with TT were found: BMI (β-coefficient, standard error (SE): -0.159, 0.037), waist-circumference (β-coefficient, SE: -0.892, 0.292), subcutaneous adipose tissue (β-coefficient, SE: -0.156, 0.023), and leptin (β-coefficient, SE: -0.046, 0.009). In women TT (β-coefficient, SE: 1.356, 0.615) and estrone (β-coefficient, SE: 0.014, 0.005) were positively associated with BMI. In analyses of variance, BMI and leptin were inversely associated with TT, ASD, and DHEAS in men, but positively associated with estrone. In women, BMI and leptin were positively associated with all sex hormones. Conclusion The present population-based study confirmed and extended previously reported sex-specific associations between sex hormones and various anthropometric markers of overweight and obesity. PMID:29324787
Tessari, Ana Aparecida; Giehl, Maruí Weber Corseuil; Schneider, Ione Jayce Ceola; González-Chica, David Alejandro
2016-12-01
To analyze the effects of anthropometric measures change on quality of life (QoL) in elderly, using measured anthropometric data on body mass index (BMI) and waist circumference (WC). Population-based cohort study investigating a sample of elderly (≥60) assessed in 2009 (n = 1705) and followed up in 2013 (n = 1197). QoL was evaluated in 2013 using the CASP-19. Variables evaluated as exposure including BMI and WC in 2009 (both standardized), categories of anthropometric measures change from 2009 to 2013 (excess weight = BMI ≥ 25.0 kg/m 2 ; large WC = top quartile), and the absolute BMI and WC change in same period. Multivariate linear regressions adjusted for possible confounding factors and mediators were used. Both BMI and WC at baseline were associated with lower QoL scores, even after adjustment for confounding variables (β BMI = -0.9; 95 % CI -1.5; -0.3 and β WC = -1.0; 95 % CI -1.7; -0.4). Additionally, QoL scores were lower among elderly with excess weight (β = -1.4; 95 % CI -2.9; 0.0) or large WC (β = -3.3; 95 % CI -5.2; -1.4) in both waves than among those whose BMI and WC were always normal, but changes in anthropometric measures did not affect QoL. The presence of chronic diseases was a partial mediator of these associations, especially for effects of BMI change. Anthropometric measures change treated as a continuous variable was not associated with QoL. Having excess weight and large WC in both waves was associated with lower QoL scores in elderly, but changing the anthropometric measures did not affect this outcome. Maintaining weight and WC within normal limits during aging can help to preserve QoL.
Validation of self-reported figural drawing scales against anthropometric measurements in adults.
Dratva, Julia; Bertelsen, Randi; Janson, Christer; Johannessen, Ane; Benediktsdóttir, Bryndis; Bråbäck, Lennart; Dharmage, Shyamali C; Forsberg, Bertil; Gislason, Thorarinn; Jarvis, Debbie; Jogi, Rain; Lindberg, Eva; Norback, Dan; Omenaas, Ernst; Skorge, Trude D; Sigsgaard, Torben; Toren, Kjell; Waatevik, Marie; Wieslander, Gundula; Schlünssen, Vivi; Svanes, Cecilie; Real, Francisco Gomez
2016-08-01
The aim of the present study was to validate figural drawing scales depicting extremely lean to extremely obese subjects to obtain proxies for BMI and waist circumference in postal surveys. Reported figural scales and anthropometric data from a large population-based postal survey were validated with measured anthropometric data from the same individuals by means of receiver-operating characteristic curves and a BMI prediction model. Adult participants in a Scandinavian cohort study first recruited in 1990 and followed up twice since. Individuals aged 38-66 years with complete data for BMI (n 1580) and waist circumference (n 1017). Median BMI and waist circumference increased exponentially with increasing figural scales. Receiver-operating characteristic curve analyses showed a high predictive ability to identify individuals with BMI > 25·0 kg/m2 in both sexes. The optimal figural scales for identifying overweight or obese individuals with a correct detection rate were 4 and 5 in women, and 5 and 6 in men, respectively. The prediction model explained 74 % of the variance among women and 62 % among men. Predicted BMI differed only marginally from objectively measured BMI. Figural drawing scales explained a large part of the anthropometric variance in this population and showed a high predictive ability for identifying overweight/obese subjects. These figural scales can be used with confidence as proxies of BMI and waist circumference in settings where objective measures are not feasible.
Khanna, Rahul; Kavookjian, Jan; Scott, Virginia Ginger; Kamal, Khalid M; Miller, Lesley-Ann N; Neal, William A
2009-06-01
Over the past few decades, childhood obesity has become a major public health issue in the United States. Numerous public and professional organizations recommend that physicians periodically screen for obesity in children and adolescents using the body mass index (BMI). However, studies have shown that physicians infrequently measure BMI in children and adolescents. The purpose of this study was to use the theory of reasoned action (TRA) to explain physicians' intentions to measure BMI in children and adolescents. The study objectives were to (1) determine if attitude and subjective norm predict physicians' intention to measure BMI in children and adolescents; (2) determine if family physicians and pediatricians differ in terms of theoretical factors; and (3) assess differences in behavioral beliefs, outcome evaluations, normative beliefs, and motivation to comply among physicians based on their level of intention to measure BMI. A cross-sectional mailed survey of 2590 physicians (family physicians and pediatricians) practicing in 4 states was conducted. A self-administered questionnaire was designed that included items related to the TRA constructs. The association between the theoretical constructs was examined using correlation and regression analyses. Student's t test was used to determine differences between family physicians and pediatricians on theoretical constructs and to compare the underlying beliefs of nonintenders with intenders. The usable response rate was 22.8%. Less than half (44%) of the physicians strongly intended to measure BMI in children and adolescents. Together, the TRA constructs attitude and subjective norm explained up to 49.9% of the variance in intention. Pediatricians had a significantly (P<.01) higher intention to measure BMI as compared to family physicians. There were significant (P<.01) behavioral and normative belief differences between physicians who intend and those who do not intend to measure BMI. The TRA is a useful model in identifying the factors that are associated with physicians' intentions to measure BMI.
Physical characteristics of the environment and BMI of young urban children and their mothers☆,☆ ☆
Duarte, Cristiane S.; Chambers, Earle C.; Rundle, Andrew; Must, Aviva
2013-01-01
The study examined whether characteristics of the urban physical environment are associated with child and maternal body mass index (BMI) in a sample of 3 year-old children and their mothers from 18 US cities (N=1997 dyads). BMI was determined based on measured height and weight. Characteristics of the interior and exterior physical environment, assessed and rated by trained interviewers, were related to child BMI at age 3 and to their mother’s BMI. Negative aspects of the physical environment were more strongly related to maternal BMI among whites than among African–Americans or Hispanics. PMID:20729127
Acevedo, Paula; López-Ejeda, Noemí; Alférez-García, Irene; Martínez-Álvarez, Jesús R; Villarino, Antonio; Cabañas, M Dolores; Marrodán, M Dolores
2014-06-01
The aim of this study was to explore, based on sex and age, knowledge regarding weight, height, and the perception of body shape in Spanish adults who attend dietary consultation. We also wanted to determine the participants' desired body shapes and what they considered their best health status. The sample consisted of 8100 women and 1220 men from Spain. They were between the ages of 18 and 75 y. Weight (kg) and height (cm) were measured and body mass index (BMI) was calculated. Participants were nutritionally classified following the cutoffs proposed by the World Health Organization. Each individual was asked about his or her weight and height and self-reported BMI was calculated. They also answered a test of body image perception through drawings of human silhouettes that corresponded to an exact BMI. With this, perceived BMI, desired BMI, and BMI considered healthy were estimated. Parametric statistic tests for contrast of mean and percentages were applied. Self-reported and perceived BMI underestimate the BMI obtained through anthropometry. Differences between measured and self-reported BMI are lower in women and increase with age in both sexes. The same result was obtained when comparing measured BMI with perceived BMI through silhouette test. On average, desired BMI and healthy BMI were in the limits of normal weight for all ages and both sexes. However, the difference between them was also lower in women. Age and sex influence the perception of excess weight and body image. This could condition the demand of dietary treatment to improve the nutritional status. Copyright © 2014 Elsevier Inc. All rights reserved.
Yong, Vanessa; Saito, Yasuhiko
2012-04-01
The aims of this study are to investigate the accuracy of self-reported height, weight, and derived BMI of community-dwelling Japanese aged 70 and older, and to assess the concordance between report-based and measurement-based BMI categories. We compared self-reported height and weight with physical measurements from data from a nationally representative sample (n = 1634). Self-reported values were strongly correlated with measured values (Pearson's r: 0.92 and 0.89 for men and women, respectively, for height; 0.96 for both sexes for weight; 0.93 and 0.91 for men and women, respectively, for BMI). The differences in mean values were small. On average, height was overreported by 0.93 cm (SD = 2.48) for men and 1.23 cm (SD = 2.84) for women. Weight was underreported by 1.08 kg (SD = 2.55) for men and 0.88 kg (SD = 2.45) for women. BMI was underestimated by 0.68 kg/m(2) (SD = 1.16) for men and 0.79 kg/m(2) (SD = 1.49) for women. As age increases, height overreporting increased, particularly among women, but weight underreporting decreased for women. BMI underestimation increased for both sexes. Weighted kappa values showed a reasonably high concordance at 0.715 and 0.670 for men and women, respectively (P < 0.0001). Overweight (BMI 25.0 to 29.9) and obesity (BMI ≥ 30) prevalence rates were underestimated, with better specificity (range: 94.4-100%) than sensitivity (range: 59.3-65.1%). The accuracy of self-reported height and weight is reasonably high among elderly Japanese, suggesting that the information can be used in epidemiological surveys. However, caution should be exercised for the oldest age group (age 85+), as the accuracy declined. © 2011 Japan Geriatrics Society.
Low maternal sensitivity at 6 months of age predicts higher BMI in 48 month old girls but not boys.
Wendland, Barbara E; Atkinson, Leslie; Steiner, Meir; Fleming, Alison S; Pencharz, Paul; Moss, Ellen; Gaudreau, Hélène; Silveira, Patricia P; Arenovich, Tamara; Matthews, Stephen G; Meaney, Michael J; Levitan, Robert D
2014-11-01
Large population-based studies suggest that systematic measures of maternal sensitivity predict later risk for overweight and obesity. More work is needed to establish the developmental timing and potential moderators of this association. The current study examined the association between maternal sensitivity at 6 months of age and BMI z score measures at 48 months of age, and whether sex moderated this association. Longitudinal Canadian cohort of children from birth (the MAVAN project). This analysis was based on a dataset of 223 children (115 boys, 108 girls) who had structured assessments of maternal sensitivity at 6 months of age and 48-month BMI data available. Mother-child interactions were videotaped and systematically scored using the Maternal Behaviour Q-Sort (MBQS)-25 items, a standardized measure of maternal sensitivity. Linear mixed-effects models and logistic regression examined whether MBQS scores at 6 months predicted BMI at 48 months, controlling for other covariates. After controlling for weight-relevant covariates, there was a significant sex by MBQS interaction (P=0.015) in predicting 48 month BMI z. Further analysis revealed a strong negative association between MBQS scores and BMI in girls (P=0.01) but not boys (P=0.72). Logistic regression confirmed that in girls only, low maternal sensitivity was associated with the higher BMI categories as defined by the WHO (i.e. "at risk for overweight" or above). A significant association between low maternal sensitivity at 6 months of age and high body mass indices was found in girls but not boys at 48 months of age. These data suggest for the first time that the link between low maternal sensitivity and early BMI z may differ between boys and girls. Copyright © 2014 Elsevier Ltd. All rights reserved.
Mollerup, Pernille Maria; Gamborg, Michael; Trier, Cæcilie; Bøjsøe, Christine; Nielsen, Tenna Ruest Haarmark; Baker, Jennifer Lyn; Holm, Jens-Christian
2017-01-01
Due to the pandemic of child and adolescent overweight and obesity, improvements in overweight and obesity treatment availability and accessibility are needed. In this prospective study, we investigated if reductions in body mass index (BMI) standard deviation scores (SDS) and waist circumference (WC) would occur during 1.5 years of community-based overweight and obesity treatment based upon an effective hospital-based overweight and obesity treatment protocol, The Children's Obesity Clinics' Treatment protocol. Height, weight, and WC were measured at all consultations. Changes in BMI SDS and WC were analyzed using linear mixed models based upon the repeated measures in each child. From June 2012 to January 2015, 1,001 children (455 boys) were consecutively enrolled in the community-based treatment program. Upon entry, the median age was 11 years (range: 3-18), and the median BMI SDS was 2.85 (range: 1.26-8.96) in boys and 2.48 (range: 1.08-4.41) in girls. After 1.5 years of treatment BMI SDS was reduced in 74% of the children. BMI SDS was reduced by a mean of 0.38 (95% confidence interval (CI): 0.30-0.45, p<0.0001) in boys and 0.18 (95% CI: 0.12-0.25, p<0.0001) in girls after 1.5 years of treatment, independently of baseline age, BMI SDS, and Tanner stage (all p>0.08). WC was reduced by a mean of 3.8 cm (95% CI: 2.7-4.9, p>0.0001) in boys and 5.1 cm (95% CI: 4.0-6.2, p>0.0001) in girls. The dropout rate was 31% after 1.5 years. A median of 4.5 consultation hours was invested per child per year. BMI SDS and WC were reduced after 1.5 years of treatment. Hence, this community-based overweight and obesity treatment program may help accommodate the need for improvements in treatment availability and accessibility.
Dietrich, Anja; Federbusch, Martin; Grellmann, Claudia; Villringer, Arno; Horstmann, Annette
2014-01-01
Behavioral and personality characteristics are factors that may jointly regulate body weight. This study explored the relationship between body mass index (BMI) and self-reported behavioral and personality measures. These measures included eating behavior (based on the Three-Factor Eating Questionnaire; Stunkard and Messick, 1985), sensitivity to reward and punishment (based on the Behavioral Inhibition System/Behavioral Activation System (BIS/BAS) scales) (Carver and White, 1994) and self-reported impulsivity (based on the Barratt Impulsiveness Scale-11; Patton et al., 1995). We found an inverted U-shaped relationship between restrained eating and BMI. This relationship was moderated by the level of disinhibited eating. Independent of eating behavior, BIS and BAS responsiveness were associated with BMI in a gender-specific manner with negative relationships for men and positive relationships for women. Together, eating behavior and BIS/BAS responsiveness accounted for a substantial proportion of BMI variance (men: ∼25%, women: ∼32%). A direct relationship between self-reported impulsivity and BMI was not observed. In summary, our results demonstrate a system of linear and non-linear relationships between the investigated factors and BMI. Moreover, body weight status was not only associated with eating behavior (cognitive restraint and disinhibition), but also with personality factors not inherently related to an eating context (BIS/BAS). Importantly, these relationships differ between men and women. PMID:25368586
Dhana, Klodian; Ikram, M Arfan; Hofman, Albert; Franco, Oscar H; Kavousi, Maryam
2015-03-01
Body mass index (BMI) has been used to simplify cardiovascular risk prediction models by substituting total cholesterol and high-density lipoprotein cholesterol. In the elderly, the ability of BMI as a predictor of cardiovascular disease (CVD) declines. We aimed to find the most predictive anthropometric measure for CVD risk to construct a non-laboratory-based model and to compare it with the model including laboratory measurements. The study included 2675 women and 1902 men aged 55-79 years from the prospective population-based Rotterdam Study. We used Cox proportional hazard regression analysis to evaluate the association of BMI, waist circumference, waist-to-hip ratio and a body shape index (ABSI) with CVD, including coronary heart disease and stroke. The performance of the laboratory-based and non-laboratory-based models was evaluated by studying the discrimination, calibration, correlation and risk agreement. Among men, ABSI was the most informative measure associated with CVD, therefore ABSI was used to construct the non-laboratory-based model. Discrimination of the non-laboratory-based model was not different than laboratory-based model (c-statistic: 0.680-vs-0.683, p=0.71); both models were well calibrated (15.3% observed CVD risk vs 16.9% and 17.0% predicted CVD risks by the non-laboratory-based and laboratory-based models, respectively) and Spearman rank correlation and the agreement between non-laboratory-based and laboratory-based models were 0.89 and 91.7%, respectively. Among women, none of the anthropometric measures were independently associated with CVD. Among middle-aged and elderly where the ability of BMI to predict CVD declines, the non-laboratory-based model, based on ABSI, could predict CVD risk as accurately as the laboratory-based model among men. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Park, Susan; Lee, Sejin; Hwang, Jinseub; Kwon, Jin-Won
2017-01-01
Background/objectives Weight perception, especially misperception, might affect health-related quality of life (HRQoL); however, related research is scarce and results remain equivocal. We examined the association between HRQoL and weight misperception by comparing obesity level as measured by body mass index (BMI) and weight perception in Korean adults. Methods Study subjects were 43 883 adults aged 19 years or older from cycles IV (2007–2009), V (2010–2012) and VI (2013–2014) of the Korean National Health and Nutrition Examination Survey. Multiple regression analyses comprising both logit and tobit models were conducted to evaluate the independent effect of obesity level as measured by BMI, weight perception and weight misperception on HRQoL after adjusting for demographics, socioeconomic status and number of chronic diseases. We also performed multiple regressions to explore the association between weight misperception and HRQoL stratified by BMI status. Results Obesity level as measured by BMI and weight perception were independently associated with low HRQoL in both separate and combined analyses. Weight misperception, including underestimation and overestimation, had a significantly negative impact on HRQoL. In subgroup analysis, subjects with BMI ranges from normal to overweight who misperceived their weight also had a high risk of low HRQoL. Overestimation of weight among obese subjects associated with low HRQoL, whereas underestimation of weight showed no significant association. Conclusions Both obesity level as measured by BMI and perceiving weight as fat were significant risk factors for low HRQoL. Subjects who incorrectly perceived their weight relative to their BMI status were more likely to report impaired HRQoL, particularly subjects with BMI in the normal to overweight range. Based on these findings, we recommend political and clinical efforts to better inform individuals about healthy weight status and promote accurate weight perception. PMID:28645975
Tran, Nga Thi Thu; Blizzard, Christopher Leigh; Luong, Khue Ngoc; Truong, Ngoc Le Van; Tran, Bao Quoc; Otahal, Petr; Nelson, Mark; Magnussen, Costan; Gall, Seana; Bui, Tan Van; Srikanth, Velandai; Au, Thuy Bich; Ha, Son Thai; Phung, Hai Ngoc; Tran, Mai Hoang; Callisaya, Michele
2018-01-01
Waist circumference (WC) is an indicator of intra-abdominal adipose tissue, high levels of which confer an increased risk of cardiometabolic disease. Population data on WC should be more informative than data on body mass index (BMI), which is a general indicator of body size. This study aimed to evaluate the importance of WC relative to BMI in cross-sectional relationships with blood pressure (BP), glucose, and total cholesterol (TC) in the adult population of Vietnam. The data were collected in a population-based survey conducted during 2009-10 using the "WHO STEPwise approach to surveillance of risk factors for non-communicable disease" (STEPS) methodology. The survey participants (n = 14 706 aged 25 to 64 years) were selected by multi-stage stratified cluster sampling from eight provinces representative of the eight geographical regions of Vietnam. All measurements were performed in accordance with the STEPS protocols. All analyses were performed using complex survey methods. The measurements of WC and BMI were highly correlated (men r = 0.80, women r = 0.77). For men, the strongest and predominant associations with BP, glucose, and TC were for WC or an index based on WC. For women, this was true for glucose but BMI was more important for BP and TC. WC or an index based on WC provided better discrimination than BMI of hypertension and elevated glucose, and of raised TC for men. Information on four new anthropometric indices did not improve model fit or subject discrimination. For BP/hypertension, glucose/elevated glucose, and TC/raised TC, WC was more informative than BMI for Vietnamese men, but both WC and BMI were important for Vietnamese women. Both WC and BMI need to be assessed for estimation of CVD risk in Vietnam.
Ebrahimi-Mameghani, Mehrangiz; Mehrabi, Esmat; Kamalifard, Mahin; Yavarikia, Parisa
2013-01-01
Background: The prevalence of obesity is increasing throughout the world.Obesity assessed by body mass index (BMI) has shown to be associated with gestational complications while the relationship using waist circumference (WC) is not clear yet. The present study was aimed to determine the relationship between WC and adverse pregnancy complications. Methods: In this prospective cohort study, 1140 nulliparous pregnant women at 1st trimester of pregnancy referred to health care centers in Tabriz, Iran were enrolled in 2009-2010. Anthropometric indexes including (weight, height and WC) were measured using standardized measures and methods. BMI was classified into normal, overweight and obesity based on WHO classification. Abdominal obesity was defined as WC ≥ 88 cm. Pregnancy complication including gestational diabetes, hypertension and preeclamsia. Data were analyzed using SPSS, version 16. Results: Mean of BMI and WC were 24.32±4.08 kg/m2, 81.84±9.25cm at 1st trimester of pregnancy, respectively. Prevalence of overweight (BMI=25-29.9kg/m2) and obesity (BMI>29.9 kg/m2) was 27.6%, 8.8%, respectively. Abdominal obesity based on WC was 34.8%. Significant correlations were found between BMI and WC (r=0.73, P =0.0001). Women with BMI>29.9 kg/m2 and WC>88 cm were more likely to suffer from gestational pregnancy and hypertension, as well as preeclampsia and preterm delivery. Conclusion: Early maternal WC similar to BMI is related with pregnancy complications. PMID:24688955
Ebrahimi-Mameghani, Mehrangiz; Mehrabi, Esmat; Kamalifard, Mahin; Yavarikia, Parisa
2013-01-01
The prevalence of obesity is increasing throughout the world.Obesity assessed by body mass index (BMI) has shown to be associated with gestational complications while the relationship using waist circumference (WC) is not clear yet. The present study was aimed to determine the relationship between WC and adverse pregnancy complications. In this prospective cohort study, 1140 nulliparous pregnant women at 1st trimester of pregnancy referred to health care centers in Tabriz, Iran were enrolled in 2009-2010. Anthropometric indexes including (weight, height and WC) were measured using standardized measures and methods. BMI was classified into normal, overweight and obesity based on WHO classification. Abdominal obesity was defined as WC ≥ 88 cm. Pregnancy complication including gestational diabetes, hypertension and preeclamsia. Data were analyzed using SPSS, version 16. Mean of BMI and WC were 24.32±4.08 kg/m(2), 81.84±9.25cm at 1(st) trimester of pregnancy, respectively. Prevalence of overweight (BMI=25-29.9kg/m(2)) and obesity (BMI>29.9 kg/m(2)) was 27.6%, 8.8%, respectively. Abdominal obesity based on WC was 34.8%. Significant correlations were found between BMI and WC (r=0.73, P =0.0001). Women with BMI>29.9 kg/m(2) and WC>88 cm were more likely to suffer from gestational pregnancy and hypertension, as well as preeclampsia and preterm delivery. Early maternal WC similar to BMI is related with pregnancy complications.
Shier, V; An, R; Sturm, R
2012-09-01
To examine the robustness of the relationship between neighbourhood food environment and youth body mass index (BMI) percentile using alternative measures of food environment and model specifications. Observational study using individual-level longitudinal survey data of children in fifth and eighth grades merged with food outlet data based on student residential census tracts. The relationship between food environment and BMI was examined with two individual outcomes (BMI percentile in eighth grade and change in BMI percentile from fifth to eighth grade) and three alternative measures of food environment (per-capita counts of a particular outlet type, food environment indices, and indicators for specific combinations of outlet types). No consistent evidence was found across measures (counts of a particular type of food outlet per population, food environment indices, and indicators for the presence of specific combinations of types of food stores) and outcomes to support the hypothesis that improved access to large supermarkets results in lower youth BMI; or that greater exposure to fast food restaurants, convenience stores and small food stores increases BMI. To the extent that there is an association between food environment and youth BMI, the existence of more types of food outlets in an area, including supermarkets, is associated with higher BMI. Copyright © 2012 The Royal Society for Public Health. All rights reserved.
McCormack, Gavin R; Blackstaffe, Anita; Nettel-Aguirre, Alberto; Csizmadi, Ilona; Sandalack, Beverly; Uribe, Francisco Alaniz; Rayes, Afrah; Friedenreich, Christine; Potestio, Melissa L
2018-06-11
Background : Environmental and policy factors can influence weight status via facilitating or discouraging physical activity and healthy diet. Despite mixed evidence, some findings suggest that the neighborhood built environment, including “walkability”, is associated with overweight and obesity. Most of these findings have measured body mass index (BMI), yet other weight status measures including waist circumference (WC) and waist-to-hip (W-H) ratio are also predictive of health outcomes, independent of BMI. Our study aim was to estimate the associations between walkability, measured using Walk Score ® , and each of WC, W-H ratio, and BMI among urban Canadian adults. Methods : In 2014, n = 851 adults recruited from 12 structurally and socioeconomic diverse neighborhoods (Calgary, Alberta, Canada) provided complete data on a physical activity, health and demographic questionnaire and self-reported anthropometric measures (i.e., height and weight, WC and hip circumference). Anthropometric data were used to estimate WC, W-H ratio, and BMI which were categorized into low and high risk in relation to their potential adverse effect on health. WC and BMI were also combined to provide a proxy measure of both overall and abdominal adiposity. Multivariable logistic regression models estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between each weight status outcome and Walk Score ® . Results : A one-unit increase in Walk Score ® was associated with lower odds of being high-risk based on WC (OR = 0.99; 95%CI 0.97⁻0.99). Notably, those residing in socioeconomically disadvantage neighborhoods had significantly higher odds of being high risk based on WC, BMI, and WC-BMI combined compared with advantaged neighborhoods. Conclusions : Interventions that promote healthy weight through the design of neighborhoods that support and enhance the effect of physical activity and diet-related interventions could have a significant population health impact.
Association between Infancy BMI Peak and Body Composition and Blood Pressure at Age 5–6 Years
Hof, Michel H. P.; Vrijkotte, Tanja G. M.; de Hoog, Marieke L. A.; van Eijsden, Manon; Zwinderman, Aeilko H.
2013-01-01
Introduction The development of overweight is often measured with the body mass index (BMI). During childhood the BMI curve has two characteristic points: the adiposity rebound at 6 years and the BMI peak at 9 months of age. In this study, the associations between the BMI peak and body composition measures and blood pressure at age 5–6 years were investigated. Methods Measurements from the Amsterdam Born Children and their Development (ABCD) study were available for this study. Blood pressure (systolic and diastolic) and body composition measures (BMI, waist-to-height ratio, fat percentage) were gathered during a health check at about 6 years of age (n = 2822). All children had multiple BMI measurements between the 0–4 years of age. For boys and girls separately, child-specific BMI peaks were extracted from mixed effect models. Associations between the estimated BMI peak and the health check measurements were analysed with linear models. In addition, we investigated the potential use of the BMI at 9 months as a surrogate measure for the magnitude of the BMI peak. Results After correction for the confounding effect of fetal growth, both timing and magnitude of the BMI peak were significantly and positively associated (p<0.001) with all body composition measures at the age of 5–6 years. The BMI peak showed no direct association with blood pressure at the age 5–6 year, but was mediated by the current BMI. The correlation between the magnitude of the BMI peak and BMI at 9 months was approximately 0.93 and similar associations with the measures at 5–6 years were found. Conclusion The magnitude of the BMI peak was associated with body composition measures at 5–6 years of age. Moreover, the BMI at 9 months could be used as surrogate measure for the magnitude of the BMI peak. PMID:24324605
Natamba, Barnabas K; Sanchez, Sixto E; Gelaye, Bizu; Williams, Michelle A
2016-07-26
The 2009 Institute of Medicine (IOM) gestational weight recommendations are tailored to women's pre-pregnancy body mass index (BMI). Limited evidence exists on methods for estimating women's pre-pregnancy BMI, particularly for women living in low and middle income countries. Using data from collected among Peruvian pregnant women, we compared the concordance between self-reported pre-pregnancy BMI with BMI measured at the earliest prenatal study visit. Data were from the Pregnancy Outcomes Maternal and Infant Study (PrOMIS), a cohort of pregnant women at the Instituto Nacional Materno Perinatal (INMP) in Lima, Peru. 2605 women aged 18 to 49 years (mean ± SD gestational age = 10.9 ± 3.3 weeks) were included in the study. Self-reported pre-pregnancy weight and height and measured weight and height were collected at the first prenatal study contact. We assessed the concordance between measured and self-reported BMI; and, the agreement among indicators of nutritional status obtained using measured and self-reported BMI. On average, weight measured at the first prenatal study visit was 0.27 kg higher than self-reported pre-pregnancy weight (p < 0.05); and, measured height was 0.02 m lower than self-reported pre-pregnancy height (p < 0.001). Correspondingly, measured BMI was 0.71 kg/m(2) higher than self-reported BMI (p < 0.001). Scatter and Bland-Altman plots indicated strong concordance between measured and self-reported BMI. The proportion of women in the normal BMI category tended to be higher when using self-reported BMI (59.6 %) than when using measured BMI (50.4 %). Conversely, the proportion of women in the overweight or obese BMI categories tended to be lower when using self-reported BMI (38.2 %) than when using measured BMI (47.7 %). Self-reported pre-pregnancy BMI was strongly correlated with BMI measured at the first prenatal study contact. The findings potentially suggest that, in this context, there is minimal change between pre-pregnancy BMI and BMI measured at the first prenatal study contact; or, that women in this study just recalled their most recent measured anthropometrics (including values obtained during the index pregnancy but before enrollment in the PrOMIS study).
BMI and BMI SDS in childhood: annual increments and conditional change.
Brannsether, Bente; Eide, Geir Egil; Roelants, Mathieu; Bjerknes, Robert; Júlíusson, Pétur Benedikt
2017-02-01
Background Early detection of abnormal weight gain in childhood may be important for preventive purposes. It is still debated which annual changes in BMI should warrant attention. Aim To analyse 1-year increments of Body Mass Index (BMI) and standardised BMI (BMI SDS) in childhood and explore conditional change in BMI SDS as an alternative method to evaluate 1-year changes in BMI. Subjects and methods The distributions of 1-year increments of BMI (kg/m 2 ) and BMI SDS are summarised by percentiles. Differences according to sex, age, height, weight, initial BMI and weight status on the BMI and BMI SDS increments were assessed with multiple linear regression. Conditional change in BMI SDS was based on the correlation between annual BMI measurements converted to SDS. Results BMI increments depended significantly on sex, height, weight and initial BMI. Changes in BMI SDS depended significantly only on the initial BMI SDS. The distribution of conditional change in BMI SDS using a two-correlation model was close to normal (mean = 0.11, SD = 1.02, n = 1167), with 3.2% (2.3-4.4%) of the observations below -2 SD and 2.8% (2.0-4.0%) above +2 SD. Conclusion Conditional change in BMI SDS can be used to detect unexpected large changes in BMI SDS. Although this method requires the use of a computer, it may be clinically useful to detect aberrant weight development.
A new method for estimation of involved BSAs for obese and normal-weight patients with burn injury.
Neaman, Keith C; Andres, L Albert; McClure, Amanda M; Burton, Michael E; Kemmeter, Paul R; Ford, Ronald D
2011-01-01
An accurate measurement of BSA involved in patients injured by burns is critical in determining initial fluid requirements, nutritional needs, and criteria for tertiary center admissions. The rule of nines and the Lund-Browder chart are commonly used to calculate the BSA involved. However, their accuracy in all patient populations, namely obese patients, remains to be proven. Detailed BSA measurements were obtained from 163 adult patients according to linear formulas defined previously for individual body segments. Patients were then grouped based on body mass index (BMI). The contribution of individual body segments to the TBSA was determined based on BMI, and the validity of existing measurement tools was examined. Significant errors were found when comparing all groups with the rule of nines, which overestimated the contribution of the head and arms to the TBSA while underestimating the trunk and legs for all BMI groups. A new rule is proposed to minimize error, assigning 5% of the TBSA to the head and 15% of the TBSA to the arms across all BMI groups, while alternating the contribution of the trunk/legs as follows: normal-weight 35/45%, obese 40/40%, and morbidly obese 45/35%. Current modalities used to determine BSA burned are subject to significant errors, which are magnified as BMI increases. This new method provides increased accuracy in estimating the BSA involved in patients with burn injury regardless of BMI.
BMI, total and abdominal fat distribution, and cardiovascular risk factors in school-age children.
Gishti, Olta; Gaillard, Romy; Durmus, Busra; Abrahamse, Marieke; van der Beek, Eline M; Hofman, Albert; Franco, Oscar H; de Jonge, Layla L; Jaddoe, Vincent W V
2015-05-01
More specific total body and abdominal fat mass measures might be stronger associated with cardiovascular risk factors in childhood, than BMI. We examined the independent associations of total and abdominal fat measures with cardiovascular risk factors in school age children. We performed a population-based cohort study among 6,523 children. At the age of 6 y, we measured childhood BMI, and general and abdominal fat mass, using dual-energy X-ray absorptiometry, and ultrasound and cardiovascular risk factors. Conditional on BMI, higher fat mass percentage and abdominal fat mass were associated with higher blood pressure, total- and low-density lipoprotein (LDL)-cholesterol, insulin and c-peptide levels, but with lower left ventricular mass and high-density lipoprotein (HDL)-cholesterol (P values < 0.05). These associations differed between underweight, normal weight, overweight, and obese children. Higher childhood adiposity measures were associated with increased odds of cardiovascular risk factors clustering, with the strongest effect for fat mass percentage (odds ratios: 3.01 (95% confidence interval: 2.67, 3.9). Our results suggest that general and abdominal fat measures are associated with cardiovascular risk factors in childhood, independent from BMI. These measures may provide additional information for identification of children with an adverse cardiovascular profile.
Prevalence of obesity in elementary school children and its association with dental caries
Farsi, Deema J.; Elkhodary, Heba M.; Merdad, Leena A.; Farsi, Najat M.A.; Alaki, Sumer M.; Alamoudi, Najlaa M.; Bakhaidar, Haneen A.; Alolayyan, Mohammed A.
2016-01-01
Objectives To investigate the prevalence of obesity among elementary school children and to examine the association between obesity and caries activity in the mixed dentition stage. Methods This cross-sectional study was conducted in King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia between September 2014 and June 2015 using a multi-stage stratified sample of 915 elementary school children (482 boys, 433 girls) in Jeddah, Saudi Arabia. Anthropometric measurements, consisting of height, weight, body mass index (BMI), and waist circumference (WC), were obtained. Children were classified as underweight/healthy, overweight, or obese and as non-obese or obese according to their BMI and WC, respectively. Each child’s caries experience was assessed using the decay score in the primary and permanent teeth. Results Based on BMI, 18% of children were obese, 18% were overweight, and 64% were underweight/normal. Based on WC, 16% of children were obese, and 84% were non-obese. Girls had a significantly higher prevalence of obesity based on WC measurements (p<0.001), but not BMI. Children enrolled in private schools had a significantly higher prevalence of obesity (p<0.05) than those in public schools. For primary and permanent teeth combined, children with higher BMI and WC had a lower prevalence of caries (p<0.05). Conclusion The prevalence of obesity was high among male and female elementary school children. Overall caries activity was inversely proportional to BMI and WC. PMID:27874156
Haque, Zeba; Javed, Anum; Mehmood, Ahmar; Haque, Adiya; Haleem, Darakhshan J
2014-10-01
To evaluate and compare the gender based variations in stress perception induced changes in leptin, cortisol and serotonin (5-HT) trends, appetite and Body Mass Index (BMI). An analytical comparative study. Neurochemistry Laboratory, University of Karachi, from January to August 2013. Appetite, BMI and serum leptin, cortisol, and 5-HT were measured in 100 men and women of aged 30-60 years, working in teaching institutes of Karachi, to evaluate gender based, stress perception induced variations. The samples were identified by stratified random technique. The chemical variables were estimated through ELISA. RESULTS were analysed using one-way ANOVA and multivariate general linear model using SPSS version 17. Mean stress perception, BMI and serum leptin levels were significantly more in women (p<0.05). Serum cortisol and 5-HT were found significantly reduced in women (p<0.05). BMI, serum cortisol and leptin were found to be increased with increasing level of stress perception (p<0.05). VAS for hunger and desire to eat as the measure of appetite was significantly higher in men (p<0.05). Stress perception attenuates the positive effect of cortisol and negative effects of leptin and 5-HT on appetite through changes in their circulatory levels. Women perceive more stress and exhibit significantly attenuated changes in hormonal levels and appetite which may be the contributing factor towards obesity. Increased BMI in women despite decreased appetite merits more studies.
Prevalence of obesity in elementary school children and its association with dental caries.
Farsi, Deema J; Elkhodary, Heba M; Merdad, Leena A; Farsi, Najat M A; Alaki, Sumer M; Alamoudi, Najlaa M; Bakhaidar, Haneen A; Alolayyan, Mohammed A
2016-12-01
To investigate the prevalence of obesity among elementary school children and to examine the association between obesity and caries activity in the mixed dentition stage. Methods: This cross-sectional study was conducted in King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia between September 2014 and June 2015 using a multi-stage stratified sample of 915 elementary school children (482 boys, 433 girls) in Jeddah, Saudi Arabia. Anthropometric measurements, consisting of height, weight, body mass index (BMI), and waist circumference (WC), were obtained. Children were classified as underweight/healthy, overweight, or obese and as non-obese or obese according to their BMI and WC, respectively. Each child's caries experience was assessed using the decay score in the primary and permanent teeth. Results: Based on BMI, 18% of children were obese, 18% were overweight, and 64% were underweight/normal. Based on WC, 16% of children were obese, and 84% were non-obese. Girls had a significantly higher prevalence of obesity based on WC measurements (p less than 0.001), but not BMI. Children enrolled in private schools had a significantly higher prevalence of obesity (p less than 0.05) than those in public schools. For primary and permanent teeth combined, children with higher BMI and WC had a lower prevalence of caries (p less than 0.05). Conclusion: The prevalence of obesity was high among male and female elementary school children. Overall caries activity was inversely proportional to BMI and WC.
Effect of Body Mass Index on Postoperative Transfusions and 24-Hour Chest-Tube Output
Nolan, Heather R.; Ramaiah, Chandrashekhar
2011-01-01
An increasing obese population in the United States focuses attention on the effect of obesity on surgical outcomes. Our objective was to see if obesity, determined by body mass index (BMI), contributed to bleeding in coronary artery bypass graft (CABG) surgery as measured by intraoperative and postoperative packed red blood cell transfusion frequency and amount and 24-hour chest-tube output. A retrospective chart review examined 150 subjects undergoing single-surgeon off-pump or on-pump CABG surgery between September 2006 and April 2009. BMI groups included normal-weight (BMI <25), overweight (BMI 25 to 29), and obese (BMI ≥30). Analyses used a chi-square test to determine variances in number of transfusions, and ANOVA for transfusion amount and 24-hour chest-tube amount. The percentage of subjects receiving intraoperative transfusions varied significantly by BMI group (p = 0.022). The percentage of subjects receiving transfusions in the 72-hour postoperative period showed a decreasing linear trend based on BMI group (p = 0.054). The percentage of subjects receiving transfusions in the combined intraoperative or 72-hour postoperative period showed a decreasing linear trend based on BMI group (p = 0.054). The transfusion amount during the 72-hour postoperative period varied significantly between BMI groups (p = 0.021), and the test for a linear decrease across groups was significant (p = 0.020). Twenty-four hour chest-tube output showed variation across all three BMI categories (p = 0.018) with chest-tube output decreasing with increasing obesity in a linear fashion (p = 0.006). Transfusion rate and amount indicate total blood loss is decreased in the obese, and chest-tube output findings give a direct measurable indicator of blood loss from the surgical site indicating increasing BMI is linearly correlated with decreasing postoperative bleeding. PMID:22654469
Baird, Stacy W; Jin, Zhezhen; Okajima, Kazue; Russo, Cesare; Schwartz, Joseph E; Elkind, Mitchell S V; Rundek, Tatjana; Homma, Shunichi; Sacco, Ralph L; Di Tullio, Marco R
2018-02-01
Epidemiologic studies assessing the relationship between blood pressure (BP), body mass, and cardiovascular events have primarily been based on office BP measurements, and few data are available in the elderly. The aim of the present study was to evaluate the relationship between body mass index (BMI) and BP values obtained by ambulatory blood pressure monitoring (ABPM) as compared to office BP measurements, and the effect of anti-hypertensive treatment on the relationship. The study population consisted of 813 subjects participating in the cardiovascular abnormalities and brain lesions (CABL) study who underwent 24-h ABPM. Office BP (mean of two measurements) was found to be associated with increasing BMI, for both SBP (p ≤ 0.05) and DBP (p ≤ 0.001). In contrast, there was no association seen of increasing BMI with ABPM parameters in the overall cohort, even after adjusting for age and gender. However, among subjects not on anti-hypertensive treatment, office SBP and DBP measurements were significantly correlated with increasing BMI (p ≤ 0.01) as were daytime SBP and 24-h SBP, although with a smaller spread across BMI subgroups compared with office readings. In treated hypertensives, there was only a trend toward increasing office DBP and increasing DBP variability with higher BMI. Our results suggest that body mass may have a less significant influence on BP values in the elderly when ABPM rather than office measurements are considered, particularly in patients receiving anti-hypertensive treatment.
Laxy, Michael; Stark, Renée; Peters, Annette; Hauner, Hans; Holle, Rolf; Teuner, Christina M
2017-08-30
This study aims to analyse the non-linear relationship between Body Mass Index (BMI) and direct health care costs, and to quantify the resulting cost fraction attributable to obesity in Germany. Five cross-sectional surveys of cohort studies in southern Germany were pooled, resulting in data of 6757 individuals (31-96 years old). Self-reported information on health care utilisation was used to estimate direct health care costs for the year 2011. The relationship between measured BMI and annual costs was analysed using generalised additive models, and the cost fraction attributable to obesity was calculated. We found a non-linear association of BMI and health care costs with a continuously increasing slope for increasing BMI without any clear threshold. Under the consideration of the non-linear BMI-cost relationship, a shift in the BMI distribution so that the BMI of each individual is lowered by one point is associated with a 2.1% reduction of mean direct costs in the population. If obesity was eliminated, and the BMI of all obese individuals were lowered to 29.9 kg/m², this would reduce the mean direct costs by 4.0% in the population. Results show a non-linear relationship between BMI and health care costs, with very high costs for a few individuals with high BMI. This indicates that population-based interventions in combination with selective measures for very obese individuals might be the preferred strategy.
Sandler, Victoria; Reisetter, Anna C; Bain, James R; Muehlbauer, Michael J; Nodzenski, Michael; Stevens, Robert D; Ilkayeva, Olga; Lowe, Lynn P; Metzger, Boyd E; Newgard, Christopher B; Scholtens, Denise M; Lowe, William L
2017-03-01
Maternal obesity increases the risk for large-for-gestational-age birth and excess newborn adiposity, which are associated with adverse long-term metabolic outcomes in offspring, probably due to effects mediated through the intrauterine environment. We aimed to characterise the maternal metabolic milieu associated with maternal BMI and its relationship to newborn birthweight and adiposity. Fasting and 1 h serum samples were collected from 400 European-ancestry mothers in the Hyperglycaemia and Adverse Pregnancy Outcome Study who underwent an OGTT at ∼28 weeks gestation and whose offspring had anthropometric measurements at birth. Metabolomics assays were performed using biochemical analyses of conventional clinical metabolites, targeted MS-based measurement of amino acids and acylcarnitines and non-targeted GC/MS. Per-metabolite analyses demonstrated broad associations with maternal BMI at fasting and 1 h for lipids, amino acids and their metabolites together with carbohydrates and organic acids. Similar metabolite classes were associated with insulin resistance with unique associations including branched-chain amino acids. Pathway analyses indicated overlapping and unique associations with maternal BMI and insulin resistance. Network analyses demonstrated collective associations of maternal metabolite subnetworks with maternal BMI and newborn size and adiposity, including communities of acylcarnitines, lipids and related metabolites, and carbohydrates and organic acids. Random forest analyses demonstrated contribution of lipids and lipid-related metabolites to the association of maternal BMI with newborn outcomes. Higher maternal BMI and insulin resistance are associated with broad-based changes in maternal metabolites, with lipids and lipid-related metabolites accounting, in part, for the association of maternal BMI with newborn size at birth.
Different measures of body weight as predictors of sickness absence.
Korpela, Katri; Roos, Eira; Lallukka, Tea; Rahkonen, Ossi; Lahelma, Eero; Laaksonen, Mikko
2013-02-01
Excessive weight is associated with increased sickness absence from work due to obesity-linked health problems. However, it is not known which obesity measure best predicts sickness absence. First, we aimed to compare body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) as predictors of sickness absence spells of various lengths. Second, we aimed to compare BMI based on self-reported and measured weight and height as a predictor of sickness absence to assess the validity of self-reported BMI. The participants were 5750 employees of the City of Helsinki, aged 40-60 years, who were followed up on average for 4.8 years using the employer's register. Sickness absence spells were classified as self-certified short (1-3 days), medically certified medium length (4-14 days), and long (>14 days) absence spells. All measures of body weight predicted sickness absence. The relative rates of long sickness absence in the highest quintile as compared to the lowest quintile varied in women from 1.62 (95% CI 1.35-1.94) to 1.89 (95% CI 1.62-2.23) and in men from 1.40 (95% CI 0.76-2.59) to 2.33 (95% CI 1.32-4.11). Differences in the predictive power of BMI and WC were small: both were more strongly associated with sickness absence than WHR. Self-reported BMI performed equally well as measured BMI. BMI - measured or self-reported - is a valid anthropometric indicator of body weight and predictor of obesity-associated health-risks. Its use is feasible for research purposes as well as for the assessment of weight-related risks to work ability.
Associations between Narrow Angle and Adult Anthropometry: The Liwan Eye Study
Jiang, Yuzhen; He, Mingguang; Friedman, David S.; Khawaja, Anthony P.; Lee, Pak Sang; Nolan, Winifred P.; Yin, Qiuxia; Foster, Paul J.
2015-01-01
Purpose To assess the associations between narrow angle and adult anthropometry. Methods Chinese adults aged 50 years and older were recruited from a population-based survey in the Liwan District of Guangzhou, China. Narrow angle was defined as the posterior trabecular meshwork not visible under static gonioscopy in at least three quadrants (i.e. a circumference of at least 270°). Logistic regression models were used to examine the associations between narrow angle and anthropomorphic measures (height, weight and body mass index, BMI). Results Among the 912 participants, lower weight, shorter height, and lower BMI were significantly associated with narrower angle width (tests for trend: mean angle width in degrees vs weight p<0.001; vs height p<0.001; vs BMI p = 0.012). In univariate analyses, shorter height, lower weight and lower BMI were all significantly associated with greater odds of narrow angle. The crude association between height and narrow angle was largely attributable to a stronger association with age and sex. Lower BMI and weight remained significantly associated with narrow angle after adjustment for height, age, sex, axial ocular biometric measures and education. In analyses stratified by sex, the association between BMI and narrow angle was only observed in women. Conclusion Lower BMI and weight were associated with significantly greater odds of narrow angle after adjusting for age, education, axial ocular biometric measures and height. The odds of narrow angle increased 7% per 1 unit decrease in BMI. This association was most evident in women. PMID:24707840
Associations between narrow angle and adult anthropometry: the Liwan Eye Study.
Jiang, Yuzhen; He, Mingguang; Friedman, David S; Khawaja, Anthony P; Lee, Pak Sang; Nolan, Winifred P; Yin, Qiuxia; Foster, Paul J
2014-06-01
To assess the associations between narrow angle and adult anthropometry. Chinese adults aged 50 years and older were recruited from a population-based survey in the Liwan District of Guangzhou, China. Narrow angle was defined as the posterior trabecular meshwork not visible under static gonioscopy in at least three quadrants (i.e. a circumference of at least 270°). Logistic regression models were used to examine the associations between narrow angle and anthropomorphic measures (height, weight and body mass index, BMI). Among the 912 participants, lower weight, shorter height, and lower BMI were significantly associated with narrower angle width (tests for trend: mean angle width in degrees vs weight p < 0.001; vs height p < 0.001; vs BMI p = 0.012). In univariate analyses, shorter height, lower weight and lower BMI were all significantly associated with greater odds of narrow angle. The crude association between height and narrow angle was largely attributable to a stronger association with age and sex. Lower BMI and weight remained significantly associated with narrow angle after adjustment for height, age, sex, axial ocular biometric measures and education. In analyses stratified by sex, the association between BMI and narrow angle was only observed in women. Lower BMI and weight were associated with significantly greater odds of narrow angle after adjusting for age, education, axial ocular biometric measures and height. The odds of narrow angle increased 7% per 1 unit decrease in BMI. This association was most evident in women.
Mollerup, Pernille Maria; Gamborg, Michael; Trier, Cæcilie; Bøjsøe, Christine; Nielsen, Tenna Ruest Haarmark; Baker, Jennifer Lyn; Holm, Jens-Christian
2017-01-01
Background Due to the pandemic of child and adolescent overweight and obesity, improvements in overweight and obesity treatment availability and accessibility are needed. Methods In this prospective study, we investigated if reductions in body mass index (BMI) standard deviation scores (SDS) and waist circumference (WC) would occur during 1.5 years of community-based overweight and obesity treatment based upon an effective hospital-based overweight and obesity treatment protocol, The Children’s Obesity Clinics’ Treatment protocol. Height, weight, and WC were measured at all consultations. Changes in BMI SDS and WC were analyzed using linear mixed models based upon the repeated measures in each child. Results From June 2012 to January 2015, 1,001 children (455 boys) were consecutively enrolled in the community-based treatment program. Upon entry, the median age was 11 years (range: 3−18), and the median BMI SDS was 2.85 (range: 1.26−8.96) in boys and 2.48 (range: 1.08−4.41) in girls. After 1.5 years of treatment BMI SDS was reduced in 74% of the children. BMI SDS was reduced by a mean of 0.38 (95% confidence interval (CI): 0.30−0.45, p<0.0001) in boys and 0.18 (95% CI: 0.12−0.25, p<0.0001) in girls after 1.5 years of treatment, independently of baseline age, BMI SDS, and Tanner stage (all p>0.08). WC was reduced by a mean of 3.8 cm (95% CI: 2.7−4.9, p>0.0001) in boys and 5.1 cm (95% CI: 4.0−6.2, p>0.0001) in girls. The dropout rate was 31% after 1.5 years. A median of 4.5 consultation hours was invested per child per year. Conclusion BMI SDS and WC were reduced after 1.5 years of treatment. Hence, this community-based overweight and obesity treatment program may help accommodate the need for improvements in treatment availability and accessibility. PMID:28264043
Russo, Cesare; Sera, Fusako; Jin, Zhezhen; Palmieri, Vittorio; Homma, Shunichi; Rundek, Tatjana; Elkind, Mitchell S V; Sacco, Ralph L; Di Tullio, Marco R
2016-05-01
General obesity, measured by body mass index (BMI), and abdominal adiposity, measured as waist circumference (WC) and waist-to-hip ratio (WHR), are associated with heart failure and cardiovascular events. However, the relationship of general and abdominal obesity with subclinical left ventricular (LV) dysfunction is unknown. We assessed the association of general and abdominal obesity with subclinical LV systolic dysfunction in a population-based elderly cohort. Participants from the Cardiovascular Abnormalities and Brain Lesions study underwent measurement of BMI, WC, and WHR. Left ventricular systolic function was assessed by two-dimensional echocardiographic LV ejection fraction (LVEF) and speckle-tracking global longitudinal strain (GLS). The study population included 729 participants (mean age 71 ± 9 years, 60% women). In multivariate analysis, higher BMI (but not WC and WHR) was associated with higher LVEF (β = 0.11, P = 0.003). Higher WC (β = 0.08, P = 0.038) and higher WHR (β = 0.15, P < 0.001) were associated with lower GLS, whereas BMI was not (P = 0.720). Compared with normal WHR, high WHR was associated with lower GLS in all BMI categories (normal, overweight, and obese), and was associated with subclinical LV dysfunction by GLS both in participants without [adjusted odds ratio (OR) 2.0, 95% confidence interval (CI) 1.1-3.6, P = 0.020] and with general obesity (adjusted OR 5.4, 95% CI 1.1-25.9, P = 0.034). WHR was incremental to BMI and risk factors in predicting LV dysfunction. Abdominal adiposity was independently associated with subclinical LV systolic dysfunction by GLS in all BMI categories. BMI was not associated with LV dysfunction. Increased abdominal adiposity may be a risk factor for LV dysfunction regardless of the presence of general obesity. © 2016 The Authors. European Journal of Heart Failure © 2016 European Society of Cardiology.
Sun, Jie; Nwaru, Bright I; Hua, Jing; Li, Xiaohong; Wu, Zhuochun
2017-01-01
Objectives Infant body mass index (BMI) peak has proven to be a useful indicator for predicting childhood obesity risk in American and European populations. However, it has not been assessed in China. We characterised infant BMI trajectories in a Chinese longitudinal cohort and evaluated whether BMI peak can predict overweight and obesity at age 2 years. Methods Serial measurements (n=6–12) of weight and length were taken from healthy term infants (n=2073) in a birth cohort established in urban Shanghai. Measurements were used to estimate BMI growth curves from birth to 13.5 months using a polynomial regression model. BMI peak characteristics, including age (in months) and magnitude (BMI, in kg/m2) at peak and prepeak velocities (in kg/m2/month), were estimated. The relationship between infant BMI peak and childhood BMI at age 2 years was examined using binary logistic analysis. Results Mean age at peak BMI was 7.61 months, with a magnitude of 18.33 kg/m2. Boys (n=1022) had a higher average peak BMI (18.60 vs 18.07 kg/m2, p<0.001) and earlier average achievement of peak value (7.54 vs 7.67 months, p<0.05) than girls (n=1051). With 1 kg/m2 increase in peak BMI and 1 month increase in peak time, the risk of overweight at age 2 years increased by 2.11 times (OR 3.11; 95% CI 2.64 to 3.66) and 35% (OR 1.35; 95% CI 1.21 to 1.50), respectively. Similarly, higher BMI magnitude (OR 2.69; 95% CI 2.00 to 3.61) and later timing of infant BMI peak (OR 1.35; 95% CI 1.08 to 1.68) were associated with an increased risk of childhood obesity at age 2 years. Conclusions We have shown that infant BMI peak is valuable for predicting early childhood overweight and obesity in urban Shanghai. Because this is the first Chinese community-based cohort study of this nature, future research is required to examine infant populations in other areas of China. PMID:28988164
Self-Reported vs Measured Body Mass Indices in Migraineurs
Katsnelson, Michael J.; Peterlin, B. Lee; Rosso, Andrea L.; Alexander, Guillermo M.; Erwin, Kirsten L.
2014-01-01
Objective To compare and contrast body mass indices calculated based on self-reported height and weight as compared with measured height and weight in migraine patients. Background Obesity is a risk factor for multiple neurological disorders including stroke, dementia, and migraine chronification. In addition, several cytokines and adipocytokines associated with migraine are modulated by body mass. The body mass index (BMI) is a commonly used anthropometric measure to estimate total body fat and is often calculated based on patient’s self-reported height and weight. Methods This was a retrospective study evaluating consecutive migraine patients presenting to a headache clinic. Demographic characteristics and self-reported height and weight were obtained from a standardized questionnaire that each new patient completes upon presentation to the clinic. In addition, as depression has been shown to be associated with both migraine and obesity, information in regards to major depression utilizing the Patient Healthcare Questionnaire-9 was extracted as well. Following completion of the questionnaire, body mass indices are routinely measured, with height measured to the nearest 0.5 inch utilizing a mounted stadiometer, and weight measured with a standard scale to the nearest 0.5 lb. After this information was extracted from the charts, BMI was then calculated for both self-reported and measured body mass indices. Using the measured body mass indices as a standard, this was then compared and contrasted to the patient’s self-reported body mass indices. Results A total of 110 patients were included in the study. Patients were predominantly female (91%) with a mean age of 38.6 ± 11.6 years. Of the total patients included, no significant difference in self-reported height (mean 64.7 ± 3.1 inches) as compared with measured height (mean 64.5 ± 3.4 inches) was seen, P = .463. However, self-reported weight (169 ± 41.3) was underestimated as compared with the measured weight (173.5 ± 43.2), P = .001. And, the self-reported BMI (28.4 ± 6.8) was significantly less than the measured BMI (29.4 ± 7.5), P < .001. Conclusions In our study, the self-reported mean weight and BMI for migraineurs was significantly less than the measured mean weight and BMI, and was of greater magnitude in the obese migraineurs. This suggests that conclusions drawn from studies evaluating obesity utilizing self-reported BMI in migraineurs may undercall the effect of total body obesity. PMID:19472442
Shirasawa, Takako; Ochiai, Hirotaka; Nanri, Hinako; Nishimura, Rimei; Ohtsu, Tadahiro; Hoshino, Hiromi; Tajima, Naoko; Kokaze, Akatsuki
2015-01-01
We investigated the prevalence and trends of underweight and overweight/obesity in a population-based sample of Japanese schoolchildren from 2003 to 2012, defined by body mass index (BMI) and percentage overweight (POW). Subjects comprised fourth and seventh graders from the town of Ina, Japan, from 2003 to 2012. The height and weight of each subject were measured. Children were classified as underweight, normal weight, or overweight/obese using two criteria: BMI cutoff points proposed by the International Obesity Task Force and cutoffs based on POW in Japan. Data from 4367 fourth graders and 3724 seventh graders were analyzed. The prevalence of underweight and overweight as defined by POW criteria were lower than those based on BMI criteria. There was a decrease in the prevalence of overweight among fourth-grade boys and girls and seventh-grade girls according to BMI; this decrease was also observed when POW criteria were used for the definition of overweight. The prevalence and trends of both underweight and overweight as defined by POW were underestimated among Japanese schoolchildren compared to those determined using BMI. The results of this study also suggest that trends in underweight and overweight/obesity using POW criteria are similar to those based on BMI criteria among schoolchildren in Japan.
Yoo, S; Lee, S-Y; Kim, K-N; Sung, E
2006-07-01
To examine the relationships between body mass index (BMI), percentage-weight-for-height (PWH) and percentage body fat (PBF), and to compare their validity based on PBF with the BMI criteria of International Obesity Task Force (IOTF) for childhood obesity in Korean pre-adolescent school children. Statistical comparative analysis for anthropometric measures. Korean pre-adolescent children (438 boys and 454 girls, aged 8-12 years, mean BMI 19.5+/-3.4 kg/m2). Body mass index and PWH were calculated as body size indices from height and weight. Hand-to-foot bioelectrical impedance analysis (BIA) was performed to obtain PBF values, with obese children defined as PBF above 35%. Sensitivity and specificity were displayed with the gold standard of PBF, and receiver operating characteristic (ROC) curves were used to assess the performance of BMI and PWH in detecting obesity. The prevalence of obesity varied by the criteria: 18.8% by Korean BMI standards for 95 percentile, 11% by the IOTF-BMI 30 kg/m2 and 29.4% by Korean PWH cutoffs. Body mass index and PWH were significantly correlated with PBF after adjusting for age, 0.910 (P<0.01) and 0.915 (P<0.01), respectively. The sensitivity and specificity of the PWH cutoffs were 0.909 and 0.882, respectively. The local BMI 95 percentiles had lower sensitivity (0.714) and specificity (0.790). The IOTF-BMI definition showed much lower sensitivity (0.457) and higher specificity (0.990). The BMI cutoffs corresponding with the highest accuracy were smaller than IOTF-BMI 30 kg/m2 for all age groups in both boys and girls. The prevalence of obesity among Korean pre-adolescent children widely varied according to the diagnostic criteria applied. Universally recommended cutoffs for children by IOTF showed the lowest sensitivity among the criteria used, and may therefore underestimate obesity in this population.
Body image, BMI, and physical activity in girls and boys aged 14-16 years.
Kantanista, Adam; Osiński, Wiesław; Borowiec, Joanna; Tomczak, Maciej; Król-Zielińska, Magdalena
2015-09-01
The aim of this study was to investigate the relationship between body image, body mass index (BMI), and physical activity in adolescents. The study included 1702 girls and 1547 boys aged 14-16 years. Moderate-to-vigorous physical activity (MVPA) was evaluated by the Physical Activity Screening Measure. Body image was assessed using the Feelings and Attitudes Towards the Body Scale, and participants' BMI was determined based on measured height and weight. Compared to boys, girls reported more negative body image (p<.05). The results of the three-way hierarchical regression revealed that body image was a statistically significant positive predictor of MVPA for adolescents, regardless of BMI. Additionally, body image was a stronger predictor of MVPA in boys than in girls. These findings suggest that body image, rather than BMI, is important in undertaking physical activity in adolescents and should be considered when preparing programs aimed at improving physical activity. Copyright © 2015 Elsevier Ltd. All rights reserved.
The interactive effects of age, education, and BMI on cognitive functioning.
Kirton, Joshua W; Dotson, Vonetta M
2016-01-01
We examined the moderating effects of age and cognitive reserve on the relationship between body mass index (BMI) and processing speed, executive function, and working memory based on the literature suggesting that obese individuals perform more poorly on measures of these abilities. Fifty-six healthy, dementia-free community-dwelling older (mean age 65.72 ± 7.40) and younger (mean age 21.10 ± 2.33) adults completed a neuropsychological battery and reported height and weight. Mixed effects models were used to evaluate the interactive effects of age, education (a proxy for cognitive reserve), and BMI on cognitive scores. Higher education was protective for executive deficits in younger, but not older adults. Age differences in executive functions were reduced at higher education levels but increased in individuals with higher BMI. Results suggest the inter-relationships between cognitive reserve - as measured by education - and BMI differ across age, and that obesity may accelerate the cognitive aging process.
Kuhle, Stefan; Kirk, Sara F L; Ohinmaa, Arto; Veugelers, Paul J
2011-12-21
Administrative health databases are a valuable research tool to assess health care utilization at the population level. However, their use in obesity research limited due to the lack of data on body weight. A potential workaround is to use the ICD code of obesity to identify obese individuals. The objective of the current study was to investigate the sensitivity and specificity of an ICD code-based diagnosis of obesity from administrative health data relative to the gold standard measured BMI. Linkage of a population-based survey with anthropometric measures in elementary school children in 2003 with longitudinal administrative health data (physician visits and hospital discharges 1992-2006) from the Canadian province of Nova Scotia. Measured obesity was defined based on the CDC cut-offs applied to the measured BMI. An ICD code-based diagnosis obesity was defined as one or more ICD-9 (278) or ICD-10 code (E66-E68) of obesity from a physician visit or a hospital stay. Sensitivity and specificity were calculated and health care cost estimates based on measured obesity and ICD-based obesity were compared. The sensitivity of an ICD code-based obesity diagnosis was 7.4% using ICD codes between 2002 and 2004. Those correctly identified had a higher BMI and had higher health care utilization and costs. An ICD diagnosis of obesity in Canadian administrative health data grossly underestimates the true prevalence of childhood obesity and overestimates the health care cost differential between obese and non-obese children.
Muscle mass, BMI, and mortality among adults in the United States: A population-based cohort study.
Abramowitz, Matthew K; Hall, Charles B; Amodu, Afolarin; Sharma, Deep; Androga, Lagu; Hawkins, Meredith
2018-01-01
The level of body-mass index (BMI) associated with the lowest risk of death remains unclear. Although differences in muscle mass limit the utility of BMI as a measure of adiposity, no study has directly examined the effect of muscle mass on the BMI-mortality relationship. Body composition was measured by dual-energy x-ray absorptiometry in 11,687 participants of the National Health and Nutrition Examination Survey 1999-2004. Low muscle mass was defined using sex-specific thresholds of the appendicular skeletal muscle mass index (ASMI). Proportional hazards models were created to model associations with all-cause mortality. At any level of BMI ≥22, participants with low muscle mass had higher body fat percentage (%TBF), an increased likelihood of diabetes, and higher adjusted mortality than other participants. Increases in %TBF manifested as 30-40% smaller changes in BMI than were observed in participants with preserved muscle mass. Excluding participants with low muscle mass or adjustment for ASMI attenuated the risk associated with low BMI, magnified the risk associated with high BMI, and shifted downward the level of BMI associated with the lowest risk of death. Higher ASMI was independently associated with lower mortality. Effects were similar in never-smokers and ever-smokers. Additional adjustment for waist circumference eliminated the risk associated with higher BMI. Results were unchanged after excluding unintentional weight loss, chronic illness, early mortality, and participants performing muscle-strengthening exercises or recommended levels of physical activity. Muscle mass mediates associations of BMI with adiposity and mortality and is inversely associated with the risk of death. After accounting for muscle mass, the BMI associated with the greatest survival shifts downward toward the normal range. These results provide a concrete explanation for the obesity paradox.
Muscle mass, BMI, and mortality among adults in the United States: A population-based cohort study
Hall, Charles B.; Amodu, Afolarin; Sharma, Deep; Androga, Lagu; Hawkins, Meredith
2018-01-01
Background The level of body-mass index (BMI) associated with the lowest risk of death remains unclear. Although differences in muscle mass limit the utility of BMI as a measure of adiposity, no study has directly examined the effect of muscle mass on the BMI-mortality relationship. Methods Body composition was measured by dual-energy x-ray absorptiometry in 11,687 participants of the National Health and Nutrition Examination Survey 1999–2004. Low muscle mass was defined using sex-specific thresholds of the appendicular skeletal muscle mass index (ASMI). Proportional hazards models were created to model associations with all-cause mortality. Results At any level of BMI ≥22, participants with low muscle mass had higher body fat percentage (%TBF), an increased likelihood of diabetes, and higher adjusted mortality than other participants. Increases in %TBF manifested as 30–40% smaller changes in BMI than were observed in participants with preserved muscle mass. Excluding participants with low muscle mass or adjustment for ASMI attenuated the risk associated with low BMI, magnified the risk associated with high BMI, and shifted downward the level of BMI associated with the lowest risk of death. Higher ASMI was independently associated with lower mortality. Effects were similar in never-smokers and ever-smokers. Additional adjustment for waist circumference eliminated the risk associated with higher BMI. Results were unchanged after excluding unintentional weight loss, chronic illness, early mortality, and participants performing muscle-strengthening exercises or recommended levels of physical activity. Conclusions Muscle mass mediates associations of BMI with adiposity and mortality and is inversely associated with the risk of death. After accounting for muscle mass, the BMI associated with the greatest survival shifts downward toward the normal range. These results provide a concrete explanation for the obesity paradox. PMID:29641540
Stamnes Køpp, U M; Dahl-Jørgensen, K; Stigum, H; Frost Andersen, L; Næss, Ø; Nystad, W
2012-10-01
To estimate the associations between maternal pre-pregnancy body mass index (BMI) or gestational weight change (GWC) during pregnancy and offspring BMI at 3 years of age, while taking several pre-and postnatal factors into account. The Norwegian Mother and Child Cohort Study is a population-based pregnancy cohort study of women recruited from all geographical areas of Norway. The study includes 31 169 women enrolled between 2000 and 2009 through a postal invitation sent to women at 17-18 weeks of gestation. Data collected from 5898 of the fathers were included. MAIN OUTCOME MESURES: Offspring BMI at 3 years was the main outcome measured in this study. Mean maternal pre-pregnancy BMI was 24.0 kg m(-2) (s.d. 4.1), mean GWC in the first 30 weeks of gestation was 9.0 kg (s.d. 4.1) and mean offspring BMI at 3 years of age was 16.1 kg m(-2) (s.d. 1.5). Both maternal pre-pregnancy BMI and GWC were positively associated with mean offspring BMI at 3 years of age. Pre-pregnancy BMI and GWC also interacted, and the strength of the interaction between these two factors was strongly associated with the increase in offspring BMI among mothers who gained the most weight during pregnancy and had the highest pre-pregnancy BMI. Our findings show that results could be biased by not including pre-pregnant paternal BMI. This large population-based study showed that both maternal pre-pregnancy BMI and GWC were positively associated with mean offspring BMI at 3 years of age.
Provencher, Matthew T; Chahla, Jorge; Sanchez, George; Cinque, Mark E; Kennedy, Nicholas I; Whalen, Jim; Price, Mark D; Moatshe, Gilbert; LaPrade, Robert F
2018-04-01
Provencher, MT, Chahla, J, Sanchez, G, Cinque, ME, Kennedy, NI, Whalen, J, Price, MD, Moatshe, G, and LaPrade, RF. Body mass index versus body fat percentage in prospective national football league athletes: overestimation of obesity rate in athletes at the national football league scouting combine. J Strength Cond Res 32(4): 1013-1019, 2018-Obesity has been previously noted as a major issue in the National Football League (NFL), where it has been shown that 97% of all players demonstrate a body mass index (BMI) of ≥25.0 with a reported obesity rate of 56% (BMI ≥ 30.0). However, BMI does not take into account body composition by mass, and may overestimate prevalence of obesity. The purposes of this study were (a) to determine the validity of BMI as a measure of body fat percentage and obesity in athletes at the NFL Combine, (b) to define the obesity rate based on body fat percentage compared with BMI, and (c) to determine the relationship between draft status and body composition. It was hypothesized that the rate of obesity, as measured by air displacement plethysmography (ADP), would be less than the rate of obesity as measured using BMI. Athletes who competed at the 2010 through 2016 NFL Combines were included in this study. Air displacement plethysmograph testing at the Combine was performed through BOD POD Body Composition Tracking System with collection of the following metrics: body fat percentage (%), and compared with BMI based on weight and height. In addition, the metrics were evaluated for differences over the 7-year study period to determine temporal changes and to determine draft status based on position relative to BOD POD calculations. A total of 1,958 NFL Combine participants completed ADP body composition testing. Based on BMI (≥30.0), the obesity rate was 53.4% versus an 8.9% obesity rate when using ADP. Drafted players demonstrated a significantly lower body fat percentage than undrafted players (p ≤ 0.05), with the exception of quarterbacks and running backs. All 8 positions of play, with the exception of defensive linemen, demonstrated a decrease in body fat percentage between 2010 and 2017. However, total body mass by position of play remained relatively constant with no significant change noted in any position. In conclusion, the obesity rate in prospective athletes at the NFL Combine was overestimated when calculated based on the BMI. Body fat percentage was more valid for determining an NFL player candidate's true body composition. Drafted players demonstrated a significantly lower body fat percentage in 6 of 8 positions compared with undrafted players. This is important to recognize for a strength and conditioning professional to use the correct metric when evaluating NFL players who could have been erroneously categorized in the obese population by their BMI. Furthermore, a higher percentage of fat translates to lower chances of becoming drafted.
Bhagat, Nikunj A.; Venkatakrishnan, Anusha; Abibullaev, Berdakh; Artz, Edward J.; Yozbatiran, Nuray; Blank, Amy A.; French, James; Karmonik, Christof; Grossman, Robert G.; O'Malley, Marcia K.; Francisco, Gerard E.; Contreras-Vidal, Jose L.
2016-01-01
This study demonstrates the feasibility of detecting motor intent from brain activity of chronic stroke patients using an asynchronous electroencephalography (EEG)-based brain machine interface (BMI). Intent was inferred from movement related cortical potentials (MRCPs) measured over an optimized set of EEG electrodes. Successful intent detection triggered the motion of an upper-limb exoskeleton (MAHI Exo-II), to guide movement and to encourage active user participation by providing instantaneous sensory feedback. Several BMI design features were optimized to increase system performance in the presence of single-trial variability of MRCPs in the injured brain: (1) an adaptive time window was used for extracting features during BMI calibration; (2) training data from two consecutive days were pooled for BMI calibration to increase robustness to handle the day-to-day variations typical of EEG, and (3) BMI predictions were gated by residual electromyography (EMG) activity from the impaired arm, to reduce the number of false positives. This patient-specific BMI calibration approach can accommodate a broad spectrum of stroke patients with diverse motor capabilities. Following BMI optimization on day 3, testing of the closed-loop BMI-MAHI exoskeleton, on 4th and 5th days of the study, showed consistent BMI performance with overall mean true positive rate (TPR) = 62.7 ± 21.4% on day 4 and 67.1 ± 14.6% on day 5. The overall false positive rate (FPR) across subjects was 27.74 ± 37.46% on day 4 and 27.5 ± 35.64% on day 5; however for two subjects who had residual motor function and could benefit from the EMG-gated BMI, the mean FPR was quite low (< 10%). On average, motor intent was detected −367 ± 328 ms before movement onset during closed-loop operation. These findings provide evidence that closed-loop EEG-based BMI for stroke patients can be designed and optimized to perform well across multiple days without system recalibration. PMID:27065787
Völgyi, Eszter; Savonen, Kai; Tylavsky, Frances A.; Alén, Markku; Cheng, Sulin
2013-01-01
Objective. To determine whether categories of obesity based on BMI and an anthropometry-based estimate of fat mass percentage (FM% equation) have similar discriminative ability for markers of cardiometabolic risk as measurements of FM% by dual-energy X-ray absorptiometry (DXA) or bioimpedance analysis (BIA). Design and Methods. A study of 40–79-year-old male (n = 205) and female (n = 388) Finns. Weight, height, blood pressure, triacylglycerols, HDL cholesterol, and fasting blood glucose were measured. Body composition was assessed by DXA and BIA and a FM%-equation. Results. For grade 1 hypertension, dyslipidaemia, and impaired fasting glucose >6.1 mmol/L, the categories of obesity as defined by BMI and the FM% equation had 1.9% to 3.7% (P < 0.01) higher discriminative power compared to DXA. For grade 2 hypertension the FM% equation discriminated 1.2% (P = 0.05) lower than DXA and 2.8% (P < 0.01) lower than BIA. Receiver operation characteristics confirmed BIA as best predictor of grade 2 hypertension and the FM% equation as best predictor of grade 1 hypertension. All other differences in area under curve were small (≤0.04) and 95% confidence intervals included 0. Conclusions. Both BMI and FM% equations may predict cardiometabolic risk with similar discriminative ability as FM% measured by DXA or BIA. PMID:24455216
Type 2 diabetes mellitus in Navajo adolescents.
Kim, C; McHugh, C; Kwok, Y; Smith, A
1999-01-01
Diabetes mellitus afflicts over one-fifth of the Navajo population aged over 20 years, but the prevalence of diabetes in Navajo adolescents is unclear. We conducted voluntary testing for diabetes mellitus at two high schools on the Navajo reservation to clarify the prevalence as well as to assess the utility of a high-school based screening program. Body mass index measurements (BMI), oral glucose tolerance tests, and hemoglobin A1C measurements were obtained in consenting high school students. Of the 276 students that participated, 234 were Navajo. Only one Navajo student (0.4%) had diabetes mellitus, although eight (3%) had impaired glucose tolerance or impaired fasting glucose. Participant BMI did not differ significantly from nonparticipant BMI. No correlation existed between BMI or impaired glucose handling, and significant overlap existed between the hemoglobin A1C values of students with impaired glucose handling and students without impaired glucose handling. Increased participation in screening programs may reveal higher disease prevalence, but high school-based screening is not justified by this study, despite the high rates of diabetes mellitus in the Navajo population. PMID:10344174
French, Simone A.; Mitchell, Nathan R.; Hannan, Peter J.
2012-01-01
Objective To examine associations between television viewing, sugar-sweetened beverage consumption, eating out, physical activity and body weight change over 1 year. Design Secondary data analysis from randomized intervention trial. Setting Households in the community. Participants Adults (n=153) and adolescents (n=72) from the same households. Intervention(s) Households were randomized to a home-based obesity prevention intervention or to a no-intervention control group for a one-year period. Main Outcome Measure(s) Self-reported television viewing hours, diet and physical activity. Body mass index computed from measured weight and height (primary outcome measure). Analysis Mixed-model regression. Results Among adolescents, a significant prospective association was observed between decreases in television viewing hours and lower BMI z-score at one year follow-up (decreased TV hours: BMI z-score mean = 0.65; no change or increase TV hrs: BMI zscore = 0.92; p < .02). No significant prospective associations were observed among adults. Conclusions and Implications Reducing television viewing may be an effective strategy to prevent excess weight gain among adolescents. PMID:22591582
Self-reported versus measured height and weight in Hispanic and non-Hispanic menopausal women.
Griebeler, Marcio L; Levis, Silvina; Beringer, Laura Muñoz; Chacra, Walid; Gómez-Marín, Orlando
2011-04-01
Height and weight information is commonly used in clinical trials and in making therapeutic decisions in medical practice. In both settings, the data are often obtained by self-report. If erroneous, this practice could lead to inaccuracies in estimating renal function and medication doses or to inaccurate outcomes of research studies. Previous publications have reported lack of reliability of self-reported weight and height in the general population but have not addressed age-specific and ethnicity-specific subgroups in the U.S. population. The inaccuracy of self-reported weight and height could be particularly significant in times of considerable changes in body weight, such as at menopause, which is often associated with weight gain. We assessed the validity of self-reported height and weight in 428 women within the first 5 years of menopause, 70.6% of whom were Hispanic. Participants overestimated their height by 2.2±3.5 cm (mean±standard deviation [SD]) and underestimated their weight by 1.5±2.9 kg. As a group, based on self-reported measures, 33.3% were misclassified with respect to body mass index (BMI) category, and the difference between measured BMI and self-reported BMI was similar between Hispanic white and non-Hispanic white women, positively related to measured weight, and inversely related to measured height, years from menopause, and multiple parity. From the public health perspective, inaccurate self-report could lead to a considerable underestimation of the current obesity prevalence rates. In our study population, the prevalence of obesity (BMI ≥30 kg/m(2)) was 6.3% based on self-reported values and 18% based on measured height and weight, representing a 3-fold underestimation.
Self-Reported Versus Measured Height and Weight in Hispanic and Non-Hispanic Menopausal Women
Griebeler, Marcio L.; Beringer, Laura Muñoz; Chacra, Walid; Gómez-Marín, Orlando
2011-01-01
Abstract Background Height and weight information is commonly used in clinical trials and in making therapeutic decisions in medical practice. In both settings, the data are often obtained by self-report. If erroneous, this practice could lead to inaccuracies in estimating renal function and medication doses or to inaccurate outcomes of research studies. Previous publications have reported lack of reliability of self-reported weight and height in the general population but have not addressed age-specific and ethnicity-specific subgroups in the U.S. population. The inaccuracy of self-reported weight and height could be particularly significant in times of considerable changes in body weight, such as at menopause, which is often associated with weight gain. Methods We assessed the validity of self-reported height and weight in 428 women within the first 5 years of menopause, 70.6% of whom were Hispanic. Results Participants overestimated their height by 2.2±3.5 cm (mean±standard deviation [SD]) and underestimated their weight by 1.5±2.9 kg. As a group, based on self-reported measures, 33.3% were misclassified with respect to body mass index (BMI) category, and the difference between measured BMI and self-reported BMI was similar between Hispanic white and non-Hispanic white women, positively related to measured weight, and inversely related to measured height, years from menopause, and multiple parity. Conclusions From the public health perspective, inaccurate self-report could lead to a considerable underestimation of the current obesity prevalence rates. In our study population, the prevalence of obesity (BMI ≥30 kg/m2) was 6.3% based on self-reported values and 18% based on measured height and weight, representing a 3-fold underestimation. PMID:21413893
Kjaer, I G H; Kolle, E; Hansen, B H; Anderssen, S A; Torstveit, M K
2015-08-01
The prevalence of obesity presents serious public health challenges worldwide and is most commonly estimated by the categorization of body mass index (BMI). The purpose of this study was (i) to describe the sensitivity of BMI, waist circumference (WC) and fat mass percentage in the classification of overweight and obesity and (ii) to describe the prevalence of overweight and obesity using different measurement methods in a national sample of Norwegians. A total of 904 Norwegians (20-85 years) were randomly enrolled. Body weight, height, WC and skinfold thickness were measured; BMI and fat mass percentage (FP(skf) ) were calculated. The sensitivity and specificity varied from 77.0% to 86.9% and from 60.6% to 82.3%, respectively. Area under the curve was 0.837 (95% confidence interval [CI]: 0.801-0.872) for the ability of BMI to predict obesity by FP(skf) and 0.811 (95% CI: 0.770-0.852) for WC. A total of 12.7% (male: 12.1%, female: 13.4%) were obese based on BMI classifications, 29.1% (male: 36.5%, female: 20.0%) of the sample were obese based on FP(skf) and 24.3% of men and 37.8% of women were abdominally obese by WC. The agreement between selected measuring methods was fair to good, although the variation in obesity prevalence rates between the different assessments methods varied markedly. © 2015 World Obesity.
Body Mass Index and Timing of Pubertal Initiation in Boys
Lee, Joyce M.; Kaciroti, Niko; Appugliese, Danielle; Corwyn, Robert F.; Bradley, Robert H.; Lumeng, Julie C.
2014-01-01
Objective To examine the association between body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]) and timing of pubertal onset in a population-based sample of US boys. Design Longitudinal prospective study. Setting Ten US sites that participated in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development. Participants Of 705 boys initially enrolled in the study, information about height and weight measures and pubertal stage by age 11.5 years was available for 401 boys. Main Exposure The BMI trajectory created from measured heights and weights at ages 2, 3, 4.5, 7, 9, 9.5, 10.5, and 11.5 years. Main Outcome Measure Onset of puberty at age 11.5 years as measured by Tanner genitalia staging. Results Boys in the highest BMI trajectory (mean BMI z score at age 11.5 years, 1.84) had a greater relative risk of being prepubertal compared with boys in the lowest BMI trajectory (mean BMI z score at age 11.5 years, −0.76) (adjusted relative risk=2.63; 95% confidence interval, 1.05–6.61; P=.04). Conclusions The relationship between body fat and timing of pubertal onset is not the same in boys as it is in girls. Further studies are needed to better understand the physiological link between body fat and timing of pubertal onset in both sexes. PMID:20124142
Shirasawa, Takako; Ochiai, Hirotaka; Nanri, Hinako; Nishimura, Rimei; Ohtsu, Tadahiro; Hoshino, Hiromi; Tajima, Naoko; Kokaze, Akatsuki
2015-01-01
Background We investigated the prevalence and trends of underweight and overweight/obesity in a population-based sample of Japanese schoolchildren from 2003 to 2012, defined by body mass index (BMI) and percentage overweight (POW). Methods Subjects comprised fourth and seventh graders from the town of Ina, Japan, from 2003 to 2012. The height and weight of each subject were measured. Children were classified as underweight, normal weight, or overweight/obese using two criteria: BMI cutoff points proposed by the International Obesity Task Force and cutoffs based on POW in Japan. Results Data from 4367 fourth graders and 3724 seventh graders were analyzed. The prevalence of underweight and overweight as defined by POW criteria were lower than those based on BMI criteria. There was a decrease in the prevalence of overweight among fourth-grade boys and girls and seventh-grade girls according to BMI; this decrease was also observed when POW criteria were used for the definition of overweight. Conclusions The prevalence and trends of both underweight and overweight as defined by POW were underestimated among Japanese schoolchildren compared to those determined using BMI. The results of this study also suggest that trends in underweight and overweight/obesity using POW criteria are similar to those based on BMI criteria among schoolchildren in Japan. PMID:25986154
Neuman, Melissa; Kawachi, Ichiro; Gortmaker, Steven; Subramanian, Sv
2014-01-01
Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES). Using nationally representative survey data from 38 countries and national economic indicators from the World Bank and other international organizations, we estimated ecological and multilevel models to assess the association between national levels of gross domestic product (GDP), foreign direct investment (FDI), and mean tariffs and BMI. We used linear regression to estimate the ecological association between average annual change in economic indicators and BMI, and multilevel linear or ordered multinomial models to estimate associations between national economic indicators and individual BMI or over- and underweight. We also included cross-level interaction terms to highlight differences in the association of BMI with national economic indicators by type of residence or socioeconomic status (SES). There was a positive but non-significant association of GDP and mean BMI. This positive association of GDP and BMI was greater among rural residents and the poor. There were no significant ecological associations between measures of trade openness and mean BMI, but FDI was positively associated with BMI among the poorest respondents and in rural areas and tariff levels were negatively associated with BMI among poor and rural respondents. Measures of national income and trade openness have different associations with the BMI across populations within developing countries. These divergent findings underscore the complexity of the effects of development on health and the importance of considering how the health effects of "globalizing" economic and cultural trends are modified by individual-level wealth and residence.
Hung, Shang-Ping; Chen, Ching-Yu; Guo, Fei-Ran; Chang, Ching-I; Jan, Chyi-Feng
Obesity screening among young adult groups is meaningful. Body mass index (BMI) is limited to discriminate between fat and lean mass. Asian young adult group tends to have lower BMI and higher body fat percentage (BFP) than other ethnic groups. Accuracy of obesity screening by commonly used BMI criteria is unclear in young Taiwanese population. A total of 894 young adults (447 males and 447 females) aged 20-26 were recruited. BMI, regional fat percentage and BFP determined by bioelectrical impedance analysis (BIA) were measured. BMI cutoff points were based on the criteria adopted by the Ministry of Health and Welfare in Taiwan. Cutoff points of low or high BFP were defined as 24% in men and 31.4% in women. Prevalence of BFP defining obesity was 14.8% in young men and 27.3% in young women. 23.2% of young men and only 8.3% of young women were classified to overweight or obesity categories according to the BMI criteria. Disagreement was noticed mainly among overweight males and normal weight females. 68.7% of BMI defining overweight young men had low BFP; however, 29.7% of young women of BMI defining normal group had high BFP. Up to 69.7% of young women with high BFP would be missed by BMI category only. Disagreement between BMI and BFP was significant among young adults, especially young women. We suggest combining BMI and BIA for obesity and overweight screening in Asian young adults. Copyright © 2016 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
Danielsen, Yngvild S; Nordhus, Inger H; Júlíusson, Petur B; Mæhle, Magne; Pallesen, Ståle
2013-01-01
We examined the effect of a 12-week family-based cognitive behavioural weight management programme developed for use in primary care settings. The sample consisted of 49 children with obesity (aged 7-13 years; mean ± SD: 10.68 ± 1.24). Families were randomly assigned to immediate start-up of treatment or to a 12-week waiting list condition. Outcome measures were body mass index standard deviation score (BMI SDS), self-esteem, symptoms of depression and blood parameters indicative of cardio-metabolic risk. Assessments were conducted at baseline, post-treatment, post-waiting list and 12 months after treatment termination. The mean reduction for the treatment group was -0.16 BMI SDS units compared with an increase of 0.04 units for the waiting list group (p = .001). For the entire sample, there was a significant post-treatment improvement on BMI SDS (p = .001), all self-esteem measures (p = .001-.041) and symptoms of depression (p = .004). The mean BMI SDS reduction was -0.18 units post-treatment, and it was maintained at 12-month follow-up. Significant reductions were found in blood lipid levels of total cholesterol (p = .03), LDL-cholesterol (p = .005) and HDL-cholesterol (p = .01) at 12-month follow-up. The favourable effect on most of the psychological measures waned from post-treatment to follow-up, but not approaching baseline levels. Boys demonstrated significantly greater reductions in BMI SDS than girls (p = .001), while baseline psychiatric co-morbidity did not influence BMI SDS outcome. The treatment shows significant and favourable effects on BMI SDS, self-esteem and symptoms of depression compared with a waiting list condition. © 2013 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.
Ameryoun, Ahmad; Sanaeinasab, Hormoz; Saffari, Mohsen; Koenig, Harold G
Sedentary lifestyle is growing among children and adolescents that may contribute to problems such as overweight and obesity. Consequently, interventions to improve weight loss in this population are necessary. The aim of this current review was to evaluate the effectiveness of game-based interventions to reduce body mass index (BMI) among children who were overweight or obese. All randomized controlled trials with a game-based approach for lowering weight in obese/overweight youths aged 5-18 years old were identified from January 2005 to June 2017 across PubMed, Web of Science, Embase, Scopus, and ScienceDirect. Two independent reviewers completed data extraction sheets on information such as sample size, country of origin, age of participants, type of interventions, and BMI change from pre- to posttest. A consensus on collected data was obtained, and a final list of studies meeting inclusion and exclusion criteria was arrived at. Data were analyzed using Comprehensive Meta-analysis software, and effect size was measured by standardized mean difference (SMD) and Hedges' g measure. Heterogeneity and publication bias were also examined using I 2 index and funnel plot. A total of 388 articles were identified from electronic and manuals' searches. After deletion of duplicated articles, 138 articles remained that were then screened in terms of relevance. Of those, 41 articles were examined to determine eligibility. Finally, 10 articles met inclusion/exclusion criteria and were entered into the quantitative meta-analysis. Results indicated a small but significant effect size in terms of BMI reduction [SMD, -0.234; standard error (SE), 0.069] among included studies. The average BMI z-score reduction was -0.181 (SE, 0.071). Trials which used other types of interventions along with active game-based approaches achieved greater effect sizes than single game-based interventions. There was a significant difference between studies based on their country of origin, BMI value, and intervention type. Those conducted in United States, those including participants with BMI ≥30, and studies with multicomponent intervention reported a higher reduction of BMI than others. However, no significant difference in BMI was found in terms of variables such as age, sample size, type of participant (overweight/obese), intervention duration, or participant gender. No publication bias was identified, and studies were homogenous (I 2 = 22.5%). Interventions that involve active gaming may produce small effects in terms of improving BMI among children who are overweight/obese. Therefore, we recommend that supplemental interventions be used to enhance the effectiveness of game-based interventions.
Snacking Behaviors, Diet Quality, and BMI in a Community Sample of Working Adults
Barnes, Timothy L.; French, Simone A.; Harnack, Lisa J.; Mitchell, Nathan R.; Wolfson, Julian
2015-01-01
Background Snacking behaviors have been linked with higher energy intake and excess weight. However results have been inconsistent. Moreover, few data are available on the extent to which snacking affects diet quality. Objective This study describes snacking behaviors, including total snacking energy, frequency, time of day, and percentage of snacking energy intake by food groups, and their associations with diet quality and BMI. Design Snacking behaviors and dietary intake were examined cross-sectionally among 233 adults participating in a community-based worksite nutrition intervention from September 2010–February 2013. Three telephone-administered 24-hour dietary recalls were collected (two weekday; one weekend day). Diet quality was characterized by the Healthy Eating Index (HEI)-2010 and BMI was computed using measured height and weight. Setting The setting was a large metropolitan medical complex in Minneapolis, Minnesota. Main outcome measures Outcome measures included diet quality and BMI. Statistical analyses General linear regression models were used to examine associations between each of the snacking behaviors as independent variables, and diet quality and BMI as dependent variables. Results Percent of snacking energy from fruit & juice (β=0.13, P=0.001) and nuts (β=0.16, P=0.008) were significantly positively associated with diet quality. Percent of snacking energy from desserts and sweets (β=−0.16, P<0.001) and sugar-sweetened beverages (β=−0.22, P=0.024) were significantly inversely associated. Percent of snacking energy from vegetables (β=−0.18, P=0.044) was significantly associated with lower BMI. Percent snacking energy from desserts and sweets was significantly associated with a higher BMI (β=0.04, P=0.017). Conclusions Snack food choices, but not total energy from snacks, frequency or time of day, were significantly associated with diet quality and BMI. PMID:25769747
Which index best correlates with body fat mass: BAI, BMI, waist or WHR?
Suchanek, Pavel; Kralova Lesna, Ivana; Mengerova, Olga; Mrazkova, Jolana; Lanska, Vera; Stavek, Petr
2012-01-01
The body mass index (BMI) has been the most commonly applied clinical measure to characterise body composition in individuals. However, the BMI has been criticised as being an inaccurate measure of body fatness. Recently, a new index reflecting body composition, the Body Adiposity Index (BAI) was proposed. The BAI was calculated using the equation BAI=((hip circumference)/ ((height)1.5) - 18). The aim of this study was to compare estimates of body fat content, i.e., body adiposity index (BAI), BMI, waist-hip ratio (WHR) and waist and hip circumferences, with respect to their ability to predict the percentage of body fat (PBF). To select an optimal surrogate for adiposity, we examined the correlation between body adiposity percentage as measured by BIA and several variables, including BAI, BMI and WHR. Correlations ranged from a high of 0.78 for BMI, 0.67 for BAI and 0.66 for waist circumference to a low value of 0.39 for the WHR index. The correlation between PBF and BAI (R=0.67, R2=0.45, p<0.001) and the correlation between PBF and BMI (R=0.78, R2=0.60, p<0.001) were of similar magnitude. Based on our results and those of other studies, we can say that the BAI index is not a universally valid index that could be used in the place of the BMI index in a Caucasian population; indeed, it would not accurately reflect body fat mass and thus could lead to an increased risk of obesity. Further, WHR index is not a suitable for an estimation of body fat.
The accuracy of parent-reported height and weight for 6-12 year old U.S. children.
Wright, Davene R; Glanz, Karen; Colburn, Trina; Robson, Shannon M; Saelens, Brian E
2018-02-12
Previous studies have examined correlations between BMI calculated using parent-reported and directly-measured child height and weight. The objective of this study was to validate correction factors for parent-reported child measurements. Concordance between parent-reported and investigator measured child height, weight, and BMI (kg/m 2 ) among participants in the Neighborhood Impact on Kids Study (n = 616) was examined using the Lin coefficient, where a value of ±1.0 indicates perfect concordance and a value of zero denotes non-concordance. A correction model for parent-reported height, weight, and BMI based on commonly collected demographic information was developed using 75% of the sample. This model was used to estimate corrected measures for the remaining 25% of the sample and measured concordance between correct parent-reported and investigator-measured values. Accuracy of corrected values in classifying children as overweight/obese was assessed by sensitivity and specificity. Concordance between parent-reported and measured height, weight and BMI was low (0.007, - 0.039, and - 0.005 respectively). Concordance in the corrected test samples improved to 0.752 for height, 0.616 for weight, and 0.227 for BMI. Sensitivity of corrected parent-reported measures for predicting overweight and obesity among children in the test sample decreased from 42.8 to 25.6% while specificity improved from 79.5 to 88.6%. Correction factors improved concordance for height and weight but did not improve the sensitivity of parent-reported measures for measuring child overweight and obesity. Future research should be conducted using larger and more nationally-representative samples that allow researchers to fully explore demographic variance in correction coefficients.
Hilbert, Anja; de Zwaan, Martina; Braehler, Elmar; Kersting, Anette
2016-01-01
The Dutch Eating Behavior Questionnaire is an internationally widely used instrument assessing different eating styles that may contribute to weight gain and overweight: emotional eating, external eating, and restraint. This study aimed to evaluate the psychometric properties of the 30-item German version of the DEBQ including its measurement invariance across gender, age, and BMI-status in a representative German population sample. Furthermore, we examined the distribution of eating styles in the general population and provide population-based norms for DEBQ scales. A representative sample of the German general population (N = 2513, age ≥ 14 years) was assessed with the German version of the DEBQ along with information on sociodemographic characteristics and body weight and height. The German version of the DEQB demonstrates good item characteristics and reliability (restraint: α = .92, emotional eating: α = .94, external eating: α = .89). The 3-factor structure of the DEBQ could be replicated in exploratory and confirmatory factor analyses and results of multi-group confirmatory factor analyses supported its metric and scalar measurement invariance across gender, age, and BMI-status. External eating was the most prevalent eating style in the German general population. Women scored higher on emotional and restrained eating scales than men, and overweight individuals scored higher in all three eating styles compared to normal weight individuals. Small differences across age were found for external eating. Norms were provided according to gender, age, and BMI-status. Our findings suggest that the German version of the DEBQ has good reliability and construct validity, and is suitable to reliably measure eating styles across age, gender, and BMI-status. Furthermore, the results demonstrate a considerable variation of eating styles across gender and BMI-status. PMID:27656879
Nagl, Michaela; Hilbert, Anja; de Zwaan, Martina; Braehler, Elmar; Kersting, Anette
The Dutch Eating Behavior Questionnaire is an internationally widely used instrument assessing different eating styles that may contribute to weight gain and overweight: emotional eating, external eating, and restraint. This study aimed to evaluate the psychometric properties of the 30-item German version of the DEBQ including its measurement invariance across gender, age, and BMI-status in a representative German population sample. Furthermore, we examined the distribution of eating styles in the general population and provide population-based norms for DEBQ scales. A representative sample of the German general population (N = 2513, age ≥ 14 years) was assessed with the German version of the DEBQ along with information on sociodemographic characteristics and body weight and height. The German version of the DEQB demonstrates good item characteristics and reliability (restraint: α = .92, emotional eating: α = .94, external eating: α = .89). The 3-factor structure of the DEBQ could be replicated in exploratory and confirmatory factor analyses and results of multi-group confirmatory factor analyses supported its metric and scalar measurement invariance across gender, age, and BMI-status. External eating was the most prevalent eating style in the German general population. Women scored higher on emotional and restrained eating scales than men, and overweight individuals scored higher in all three eating styles compared to normal weight individuals. Small differences across age were found for external eating. Norms were provided according to gender, age, and BMI-status. Our findings suggest that the German version of the DEBQ has good reliability and construct validity, and is suitable to reliably measure eating styles across age, gender, and BMI-status. Furthermore, the results demonstrate a considerable variation of eating styles across gender and BMI-status.
Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo; Hur, Yoon-Mi; Yokoyama, Yoshie; Honda, Chika; Hjelmborg, Jacob vB; Möller, Sören; Ooki, Syuichi; Aaltonen, Sari; Ji, Fuling; Ning, Feng; Pang, Zengchang; Rebato, Esther; Busjahn, Andreas; Kandler, Christian; Saudino, Kimberly J; Jang, Kerry L; Cozen, Wendy; Hwang, Amie E; Mack, Thomas M; Gao, Wenjing; Yu, Canqing; Li, Liming; Corley, Robin P; Huibregtse, Brooke M; Christensen, Kaare; Skytthe, Axel; Kyvik, Kirsten O; Derom, Catherine A; Vlietinck, Robert F; Loos, Ruth Jf; Heikkilä, Kauko; Wardle, Jane; Llewellyn, Clare H; Fisher, Abigail; McAdams, Tom A; Eley, Thalia C; Gregory, Alice M; He, Mingguang; Ding, Xiaohu; Bjerregaard-Andersen, Morten; Beck-Nielsen, Henning; Sodemann, Morten; Tarnoki, Adam D; Tarnoki, David L; Stazi, Maria A; Fagnani, Corrado; D'Ippolito, Cristina; Knafo-Noam, Ariel; Mankuta, David; Abramson, Lior; Burt, S Alexandra; Klump, Kelly L; Silberg, Judy L; Eaves, Lindon J; Maes, Hermine H; Krueger, Robert F; McGue, Matt; Pahlen, Shandell; Gatz, Margaret; Butler, David A; Bartels, Meike; van Beijsterveldt, Toos Cem; Craig, Jeffrey M; Saffery, Richard; Freitas, Duarte L; Maia, José Antonio; Dubois, Lise; Boivin, Michel; Brendgen, Mara; Dionne, Ginette; Vitaro, Frank; Martin, Nicholas G; Medland, Sarah E; Montgomery, Grant W; Chong, Youngsook; Swan, Gary E; Krasnow, Ruth; Magnusson, Patrik Ke; Pedersen, Nancy L; Tynelius, Per; Lichtenstein, Paul; Haworth, Claire Ma; Plomin, Robert; Bayasgalan, Gombojav; Narandalai, Danshiitsoodol; Harden, K Paige; Tucker-Drob, Elliot M; Öncel, Sevgi Y; Aliev, Fazil; Spector, Timothy; Mangino, Massimo; Lachance, Genevieve; Baker, Laura A; Tuvblad, Catherine; Duncan, Glen E; Buchwald, Dedra; Willemsen, Gonneke; Rasmussen, Finn; Goldberg, Jack H; Sørensen, Thorkild Ia; Boomsma, Dorret I; Kaprio, Jaakko
2016-08-01
Both genetic and environmental factors are known to affect body mass index (BMI), but detailed understanding of how their effects differ during childhood and adolescence is lacking. We analyzed the genetic and environmental contributions to BMI variation from infancy to early adulthood and the ways they differ by sex and geographic regions representing high (North America and Australia), moderate (Europe), and low levels (East Asia) of obesogenic environments. Data were available for 87,782 complete twin pairs from 0.5 to 19.5 y of age from 45 cohorts. Analyses were based on 383,092 BMI measurements. Variation in BMI was decomposed into genetic and environmental components through genetic structural equation modeling. The variance of BMI increased from 5 y of age along with increasing mean BMI. The proportion of BMI variation explained by additive genetic factors was lowest at 4 y of age in boys (a(2) = 0.42) and girls (a(2) = 0.41) and then generally increased to 0.75 in both sexes at 19 y of age. This was because of a stronger influence of environmental factors shared by co-twins in midchildhood. After 15 y of age, the effect of shared environment was not observed. The sex-specific expression of genetic factors was seen in infancy but was most prominent at 13 y of age and older. The variance of BMI was highest in North America and Australia and lowest in East Asia, but the relative proportion of genetic variation to total variation remained roughly similar across different regions. Environmental factors shared by co-twins affect BMI in childhood, but little evidence for their contribution was found in late adolescence. Our results suggest that genetic factors play a major role in the variation of BMI in adolescence among populations of different ethnicities exposed to different environmental factors related to obesity. © 2016 American Society for Nutrition.
Pasco, Julie A.; Nicholson, Geoffrey C.; Brennan, Sharon L.; Kotowicz, Mark A.
2012-01-01
Background Anthropometric measures such as the body mass index (BMI) and waist circumference are widely used as convenient indices of adiposity, yet there are limitations in their estimates of body fat. We aimed to determine the prevalence of obesity using criteria based on the BMI and waist circumference, and to examine the relationship between the BMI and body fat. Methodology/Principal Findings This population-based, cross-sectional study was conducted as part of the Geelong Osteoporosis Study. A random sample of 1,467 men and 1,076 women aged 20–96 years was assessed 2001–2008. Overweight and obesity were identified according to BMI (overweight 25.0–29.9 kg/m2; obesity ≥30.0 kg/m2) and waist circumference (overweight men 94.0–101.9 cm; women 80.0–87.9 cm; obesity men ≥102.0 cm, women ≥88.0 cm); body fat mass was assessed using dual energy X-ray absorptiometry; height and weight were measured and lifestyle factors documented by self-report. According to the BMI, 45.1% (95%CI 42.4–47.9) of men and 30.2% (95%CI 27.4–33.0) of women were overweight and a further 20.2% (95%CI 18.0–22.4) of men and 28.6% (95%CI 25.8–31.3) of women were obese. Using waist circumference, 27.5% (95%CI 25.1–30.0) of men and 23.3% (95%CI 20.8–25.9) of women were overweight, and 29.3% (95%CI 26.9–31.7) of men and 44.1% (95%CI 41.2–47.1) of women, obese. Both criteria indicate that approximately 60% of the population exceeded recommended thresholds for healthy body habitus. There was no consistent pattern apparent between BMI and energy intake. Compared with women, BMI overestimated adiposity in men, whose excess weight was largely attributable to muscular body builds and greater bone mass. BMI also underestimated adiposity in the elderly. Regression models including gender, age and BMI explained 0.825 of the variance in percent body fat. Conclusions/Significance As the BMI does not account for differences in body composition, we suggest that gender- and age-specific thresholds should be considered when the BMI is used to indicate adiposity. PMID:22253741
Emotion Awareness Predicts Body Mass Index Percentile Trajectories in Youth.
Whalen, Diana J; Belden, Andy C; Barch, Deanna; Luby, Joan
2015-10-01
To examine the rate of change in body mass index (BMI) percentile across 3 years in relation to emotion identification ability and brain-based reactivity in emotional processing regions. A longitudinal sample of 202 youths completed 3 functional magnetic resonance imaging-based facial processing tasks and behavioral emotion differentiation tasks. We examined the rate of change in the youth's BMI percentile as a function of reactivity in emotional processing brain regions and behavioral emotion identification tasks using multilevel modeling. Lower correct identification of both happiness and sadness measured behaviorally predicted increases in BMI percentile across development, whereas higher correct identification of both happiness and sadness predicted decreases in BMI percentile, while controlling for children's pubertal status, sex, ethnicity, IQ score, exposure to antipsychotic medication, family income-to-needs ratio, and externalizing, internalizing, and depressive symptoms. Greater neural activation in emotional reactivity regions to sad faces also predicted increases in BMI percentile during development, also controlling for the aforementioned covariates. Our findings provide longitudinal developmental data demonstrating links between both emotion identification ability and greater neural reactivity in emotional processing regions with trajectories of BMI percentiles across childhood. Copyright © 2015 Elsevier Inc. All rights reserved.
Childhood cardiometabolic outcomes of maternal obesity during pregnancy: the Generation R Study.
Gaillard, Romy; Steegers, Eric A P; Duijts, Liesbeth; Felix, Janine F; Hofman, Albert; Franco, Oscar H; Jaddoe, Vincent W V
2014-04-01
Maternal prepregnancy obesity is associated with impaired cardiometabolic health in offspring. Whether these associations reflect direct intrauterine causal mechanisms remains unclear. In a population-based prospective cohort study among 4871 mothers, fathers, and their children, we examined the associations of both maternal and paternal prepregnancy body mass index (BMI) with childhood body fat distribution and cardiometabolic outcomes and explored whether any association was explained by pregnancy, birth, and childhood factors. We measured childhood BMI, total body and abdominal fat distribution, blood pressure, and blood levels of lipids, insulin, and C-peptide at the age of 6 years. We observed that higher maternal and paternal prepregnancy BMI were associated with higher childhood BMI, total body and abdominal fat mass measures, systolic blood pressure, and insulin levels and lower high-density lipoprotein cholesterol levels (P<0.05). Stronger associations were present for maternal than paternal BMI, with statistical support for heterogeneity between these associations. The associations for childhood fat mass and cardiometabolic outcomes attenuated after adjustment for childhood current BMI. Compared with children from normal-weight mothers, those from obese mothers had increased risks of childhood overweight (odds ratio, 3.84 [95% confidence interval, 3.01-4.90]) and clustering of cardiometabolic risk factors (odds ratio, 3.00 [95% confidence interval, 2.09-4.34]). Smaller effect estimates for these outcomes were observed for paternal obesity. In conclusion, higher maternal and paternal prepregnancy BMI were associated with an adverse cardiometabolic profile in offspring, with stronger associations present for maternal prepregnancy BMI. These findings suggest that maternal prepregnancy BMI may influence the cardiometabolic health of offspring through direct intrauterine mechanisms.
Prediction of cold and heat patterns using anthropometric measures based on machine learning.
Lee, Bum Ju; Lee, Jae Chul; Nam, Jiho; Kim, Jong Yeol
2018-01-01
To examine the association of body shape with cold and heat patterns, to determine which anthropometric measure is the best indicator for discriminating between the two patterns, and to investigate whether using a combination of measures can improve the predictive power to diagnose these patterns. Based on a total of 4,859 subjects (3,000 women and 1,859 men), statistical analyses using binary logistic regression were performed to assess the significance of the difference and the predictive power of each anthropometric measure, and binary logistic regression and Naive Bayes with the variable selection technique were used to assess the improvement in the predictive power of the patterns using the combined measures. In women, the strongest indicators for determining the cold and heat patterns among anthropometric measures were body mass index (BMI) and rib circumference; in men, the best indicator was BMI. In experiments using a combination of measures, the values of the area under the receiver operating characteristic curve in women were 0.776 by Naive Bayes and 0.772 by logistic regression, and the values in men were 0.788 by Naive Bayes and 0.779 by logistic regression. Individuals with a higher BMI have a tendency toward a heat pattern in both women and men. The use of a combination of anthropometric measures can slightly improve the diagnostic accuracy. Our findings can provide fundamental information for the diagnosis of cold and heat patterns based on body shape for personalized medicine.
Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo; Yokoyama, Yoshie; Hur, Yoon-Mi; Cozen, Wendy; Hwang, Amie E; Mack, Thomas M; Honda, Chika; Inui, Fujio; Iwatani, Yoshinori; Watanabe, Mikio; Tomizawa, Rie; Pietiläinen, Kirsi H; Rissanen, Aila; Siribaddana, Sisira H; Hotopf, Matthew; Sumathipala, Athula; Rijsdijk, Fruhling; Tan, Qihua; Zhang, Dongfeng; Pang, Zengchang; Piirtola, Maarit; Aaltonen, Sari; Öncel, Sevgi Y; Aliev, Fazil; Rebato, Esther; Hjelmborg, Jacob B; Christensen, Kaare; Skytthe, Axel; Kyvik, Kirsten O; Silberg, Judy L; Eaves, Lindon J; Cutler, Tessa L; Ordoñana, Juan R; Sánchez-Romera, Juan F; Colodro-Conde, Lucia; Song, Yun-Mi; Yang, Sarah; Lee, Kayoung; Franz, Carol E; Kremen, William S; Lyons, Michael J; Busjahn, Andreas; Nelson, Tracy L; Whitfield, Keith E; Kandler, Christian; Jang, Kerry L; Gatz, Margaret; Butler, David A; Stazi, Maria A; Fagnani, Corrado; D'Ippolito, Cristina; Duncan, Glen E; Buchwald, Dedra; Martin, Nicholas G; Medland, Sarah E; Montgomery, Grant W; Jeong, Hoe-Uk; Swan, Gary E; Krasnow, Ruth; Magnusson, Patrik Ke; Pedersen, Nancy L; Dahl Aslan, Anna K; McAdams, Tom A; Eley, Thalia C; Gregory, Alice M; Tynelius, Per; Baker, Laura A; Tuvblad, Catherine; Bayasgalan, Gombojav; Narandalai, Danshiitsoodol; Spector, Timothy D; Mangino, Massimo; Lachance, Genevieve; Burt, S Alexandra; Klump, Kelly L; Harris, Jennifer R; Brandt, Ingunn; Nilsen, Thomas S; Krueger, Robert F; McGue, Matt; Pahlen, Shandell; Corley, Robin P; Huibregtse, Brooke M; Bartels, Meike; van Beijsterveldt, Catharina Em; Willemsen, Gonneke; Goldberg, Jack H; Rasmussen, Finn; Tarnoki, Adam D; Tarnoki, David L; Derom, Catherine A; Vlietinck, Robert F; Loos, Ruth Jf; Hopper, John L; Sung, Joohon; Maes, Hermine H; Turkheimer, Eric; Boomsma, Dorret I; Sørensen, Thorkild Ia; Kaprio, Jaakko
2017-08-01
Background: Genes and the environment contribute to variation in adult body mass index [BMI (in kg/m 2 )], but factors modifying these variance components are poorly understood. Objective: We analyzed genetic and environmental variation in BMI between men and women from young adulthood to old age from the 1940s to the 2000s and between cultural-geographic regions representing high (North America and Australia), moderate (Europe), and low (East Asia) prevalence of obesity. Design: We used genetic structural equation modeling to analyze BMI in twins ≥20 y of age from 40 cohorts representing 20 countries (140,379 complete twin pairs). Results: The heritability of BMI decreased from 0.77 (95% CI: 0.77, 0.78) and 0.75 (95% CI: 0.74, 0.75) in men and women 20-29 y of age to 0.57 (95% CI: 0.54, 0.60) and 0.59 (95% CI: 0.53, 0.65) in men 70-79 y of age and women 80 y of age, respectively. The relative influence of unique environmental factors correspondingly increased. Differences in the sets of genes affecting BMI in men and women increased from 20-29 to 60-69 y of age. Mean BMI and variances in BMI increased from the 1940s to the 2000s and were greatest in North America and Australia, followed by Europe and East Asia. However, heritability estimates were largely similar over measurement years and between regions. There was no evidence of environmental factors shared by co-twins affecting BMI. Conclusions: The heritability of BMI decreased and differences in the sets of genes affecting BMI in men and women increased from young adulthood to old age. The heritability of BMI was largely similar between cultural-geographic regions and measurement years, despite large differences in mean BMI and variances in BMI. Our results show a strong influence of genetic factors on BMI, especially in early adulthood, regardless of the obesity level in the population. © 2017 American Society for Nutrition.
Patel, Ayush; Chan, Wenyaw; Aparasu, Rajender R; Ochoa-Perez, Melissa; Sherer, Jeff T; Medhekar, Rohan; Chen, Hua
2017-05-01
To assess the long-term effect of all treatment options for pediatric bipolar disorders on body mass index (BMI) and to explore individual characteristics associated with less BMI increase during psychotropic medication exposures. A retrospective cohort study was conducted by using the 1995 to 2010 General Electric Electronic Medical Record database. Individuals aged 18 years or younger who had a new bipolar disorder episode were identified. Treatment exposure was defined based on the medication regimens patients received, which include atypical antipsychotic (AT) monotherapy, mood stabilizer (MS) monotherapy, antidepressant (AD) monotherapy, AT+MS polytherapy, AT+AD polytherapy, MS+AD polytherapy, and no treatment. Both treatment exposure and BMI were coded as time varying, which could change from month to month. According to the duration of treatment and the availability of BMI measures, individuals were followed for up to 3, 6, 9, and 12 months since the treatment initiation. Repeated-measures mixed models were applied to compare the impact of different medication regimens and the length of drug exposure on BMI after adjusting for the baseline BMI, sociodemographic factors, comorbidities, and psychotherapy. A total of 2299 treated and 4544 untreated children and adolescents who met the inclusion criteria were identified. Analysis using repeated-measures mixed models showed that those on AT monotherapy (the reference group) had a gradually diminished, but statistically significant, monthly increase in BMI during all durations of drug exposure (3 months: 0.36 kg/m 2 , 6 months: 0.20 kg/m 2 , 9 months: 0.17 kg/m 2 , and 12 months: 0.16 kg/m 2 ). As compared with AT monotherapy, the magnitude of increase in BMI associated with MS, AD monotherapy, and no treatment was significantly less at all time points, indicating less steep slopes of BMI change over time compared with AT monotherapy, especially during the short-term exposure. The combinations of AT with other psychotropic medications (ATMS, ATAD) were associated with a similar BMI increase as AT monotherapy. Individual characteristics found to be associated with a less increase in BMI during psychotropic medication exposure were being younger and having a higher baseline BMI. The long-term use of atypical antipsychotics, both as monotherapy or in combination with other psychotropic medications in children and adolescents with bipolar disorder, was associated with a steady and cumulative increase in BMI.
Evaluation of the DSM-5 Severity Indicator for Anorexia Nervosa.
Machado, Paulo P P; Grilo, Carlos M; Crosby, Ross D
2017-05-01
This study tested the new DSM-5 severity criterion for anorexia nervosa (AN) based on proposed body mass index (BMI) cut-points. Participants were a clinical sample of 201 treatment-seeking patients diagnosed with DSM-5 AN in Portugal. Participants were categorised based on DSM-5 severity levels and were compared on demographic and clinical variables assessed with the Eating Disorder Examination-Questionnaire. Based on DSM-5 severity definitions for AN, 73 (36.3%) participants were categorised as mild (≥17.0 BMI), 40 (19.9%) as moderate (16-16.99 BMI), 30 (14.9%) as severe (15-15.99 BMI) and 58 (28.9%) as extreme (<15 BMI). The severity groups did not differ significantly in age or gender. Analyses comparing the severity groups on measures of eating-disorder psychopathology revealed no significant differences on the Eating Disorder Examination-Questionnaire global or subscale scores. The groups also did not differ significantly on the frequency of binge eating or purging episodes within the past 28 days. Our findings, in this clinical sample of patients with AN in Portugal, provide no evidence for the new DSM-5 severity ratings based on BMI level. Further research on the validity of the DSM-5 specifiers is needed and should test additional clinical or functional variables and especially prognostic utility for course and outcome across eating disorders. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association.
Does pre-pregnancy BMI determine blood pressure during pregnancy? A prospective cohort study
Zuithoff, Peter; Browne, Joyce L; Amelia, Dwirani; Baharuddin, Mohammad; Grobbee, Diederick E; Uiterwaal, Cuno S P M
2016-01-01
Objectives To evaluate if pre-pregnancy body mass index (BMI) determines blood pressure throughout pregnancy and to explore the role of gestational weight gain in this association. In addition, the effects of pre-pregnancy BMI and gestational weight gain on the occurrence of gestational hypertension and pre-eclampsia were investigated. Design Prospective cohort study. Setting Maternal and child health primary care referral centre, Jakarta, Indonesia. Population and measurements 2252 pregnant women visiting Budi Kemuliaan Hospital and its branch for regular antenatal care visits from July 2012 to April 2015. Pre-pregnancy BMI (kg/m2) was based on self-reported pre-pregnancy weight and measured height at first visit. Gestational weight gain was calculated as weight at the day of delivery minus the pre-pregnancy weight. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured during pregnancy at every visit. Linear mixed models were used to analyse this relation with repeated blood pressure measures as the outcome and pre-pregnancy BMI as the predictor. When looking at gestational hypertension and pre-eclampsia as outcomes, (multiple) logistic regression was used in the analysis. Results Independent of pre-pregnancy BMI, SBP and DBP increased by 0.99 mm Hg/month and 0.46 mm Hg/month, respectively. Higher pre-pregnancy BMI was associated with higher pregnancy SBP (0.25 mm Hg/kg/m2; 95% CI 0.17 to 0.34; p<0.01) and DBP (0.18 mm Hg/kg/m2; 0.13 to 0.24; p<0.01) in adjusted analysis. Every 1 kg/m2 higher pre-pregnancy BMI was associated with 6% and 9% higher odds for gestational hypertension (adjusted OR (aOR) 1.06; 95% CI 1.03 to 1.09; p<0.01) and pre-eclampsia (aOR 1.09; 1.04 to 1.14; p<0.01). Accounting for gestational weight gain did not attenuate these associations. Conclusions Pre-pregnancy BMI determines the level, but not the change, of blood pressure in pregnancy and is linked to higher odds for gestational hypertension and pre-eclampsia, independent of gestational weight gain. PMID:27515754
Body mass index, safety hazards, and neighborhood attractiveness.
Lovasi, Gina S; Bader, Michael D M; Quinn, James; Neckerman, Kathryn; Weiss, Christopher; Rundle, Andrew
2012-10-01
Neighborhood attractiveness and safety may encourage physical activity and help individuals maintain a healthy weight. However, these neighborhood characteristics may not be equally relevant to health across all settings and population subgroups. To evaluate whether potentially attractive neighborhood features are associated with lower BMI, whether safety hazards are associated with higher BMI, and whether environment-environment interactions are present such that associations for a particular characteristic are stronger in an otherwise supportive environment. Survey data and measured height and weight were collected from a convenience sample of 13,102 adult New York City (NYC) residents in 2000-2002; data analyses were completed 2008-2012. Built-environment measures based on municipal GIS data sources were constructed within 1-km network buffers to assess walkable urban form (density, land-use mix, transit access); attractiveness (sidewalk cafés, landmark buildings, street trees, street cleanliness); and safety (homicide rate, pedestrian-auto collision and fatality rate). Generalized linear models with cluster-robust SEs controlled for individual and area-based sociodemographic characteristics. The presence of sidewalk cafés, density of landmark buildings, and density of street trees were associated with lower BMI, whereas the proportion of streets rated as clean was associated with higher BMI. Interactions were observed for sidewalk cafés with neighborhood poverty, for street-tree density with walkability, and for street cleanliness with safety. Safety hazard indicators were not independently associated with BMI. Potentially attractive community and natural features were associated with lower BMI among adults in NYC, and there was some evidence of effect modification. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
Validity of self-measured waist and hip circumferences: results from a community study in Malaysia.
Reidpath, Daniel D; Cheah, Julius Chee-Ho; Lam, Fui-Ching; Yasin, Shahjahan; Soyiri, Ireneous; Allotey, Pascale
2013-10-05
Measures of central adiposity are better predictors of adverse health events than BMI. Nonetheless, BMI is more widely used in health research. One reason for this may be the limited research supporting the self-measurement of waist and hip circumference. The lack of validity studies is particularly acute in Asia. The main objective was to establish the validity of self-measurement of waist and hip circumference in a community setting and the correlation of those measures with BMI, blood pressure, and blood glucose levels. A community based, cross-sectional survey. A "healthy living expo" at a shopping mall in a rural town on peninsular Malaysia One hundred and thirty six (136) individuals volunteered to participate in the study, 125 of whom met the inclusion criteria. The ethnic distribution of the participants was 80% Chinese, 17% Malay and 3% Indian. Most participants were female (60%), with participants' ages ranging from 18 to 78 years (mean, 47.2). Self and assisted measurements of waist and hip were taken. Blood pressure, non-fasting blood glucose, height, and weight were also measured. Bland Altman plots and Lin's concordance coefficient were used to measure agreement between self and assisted measures. Pearson's correlation was used to examine the association of self and assisted measures with blood pressure, blood glucose, and BMI. There was a downwards bias in self measured waist (-0.81 cm) and hip (-1 cm) circumferences compared with assisted measures. The concordance for the self and assisted measures of waist, hip and the ratio of the two were, respectively, .96, .93 , and .84. The correlation between measures of central adiposity and BMI, blood pressure and blood glucose were similar for self and assisted measures. The results provide additional support for the use of self-measurement of waist and hip circumference studies of central adiposity, but is limited by the specificity of the setting.
Datta Banik, Sudip
2011-11-01
This study aimed to understand the interrelationship between height and arm span and also to estimate nutritional status from arm span. In an anthropometric survey conducted among the Dhimals (227 males and 223 females, total = 450) of Naxalbari in West Bengal, India, measurements were recorded in age groups ranging between 10-59 years. Males were taller and had longer arm spans than females. The height-arm span ratio was 0.98-0.99, indicating height to be slightly less than arm span in both sexes. High correlation between these two dimensions was also observed. Regression equations provided a good model for estimating height from arm span (predictor). In all age groups of both sexes, values of standardized coefficient beta exhibited high significance (p ( 0.001). Residuals showed no pattern and were random. No significant difference between height-based body mass index or BMI (body weight/height(2)) and estimated arm span-based BMI (body weight/arm span(2)) was observed in any age group. Arm span was found to be an effective surrogate measure for BMI.
Estimation of height and body mass index from demi-span in elderly individuals.
Weinbrenner, Tanja; Vioque, Jesús; Barber, Xavier; Asensio, Laura
2006-01-01
Obtaining accurate height and, consequently, body mass index (BMI) measurements in elderly subjects can be difficult due to changes in posture and loss of height during ageing. Measurements of other body segments can be used as an alternative to estimate standing height, but population- and age-specific equations are necessary. Our objectives were to validate existing equations, to develop new simple equations to predict height in an elderly Spanish population and to assess the accuracy of the BMI calculated by estimated height from the new equations. We measured height and demi-span in a representative sample of 592 individuals, 271 men and 321 women, 65 years and older (mean +/- SD, 73.8 +/- 6.3 years). We suggested equations to predict height from demi-span by multiple regression analyses and performed an agreement analysis between measured and estimated indices. Height estimated from demi-span correlated significantly (p < 0.001) with measured height (men: r = 0.708, women: r = 0.625). The best prediction equations were as follows: men, height (in cm) = 77.821 + (1.132 x demi-span in cm) + (-0.215 x 5-year age category); women: height (in cm) = 88.854 + (0.899 x demi-span in cm) + (-0.692 x 5-year age category). No significant differences between the mean values of estimated and measured heights were found for men (-0.03 +/- 4.6 cm) or women (-0.02 +/- 4.1 cm). The BMI derived from measured height did not differ significantly from the BMI derived from estimated height either. Predicted height values from equations based on demi-span and age may be acceptable surrogates to derive accurate nutritional indices such as the BMI, particularly in elderly populations, where height may be difficult to measure accurately.
Caplan, Eleanor O; Kamble, Pravin S; Harvey, Raymond A; Smolarz, B Gabriel; Renda, Andrew; Bouchard, Jonathan R; Huang, Joanna C
2018-01-01
To evaluate the positive predictive value of claims-based V85 codes for identifying individuals with varying degrees of BMI relative to their measured BMI obtained from medical record abstraction. This was a retrospective validation study utilizing administrative claims and medical chart data from 1 January 2009 to 31 August 2015. Randomly selected samples of patients enrolled in a Medicare Advantage Prescription Drug (MAPD) or commercial health plan and with a V85 claim were identified. The claims-based BMI category (underweight, normal weight, overweight, obese class I-III) was determined via corresponding V85 codes and compared to the BMI category derived from chart abstracted height, weight and/or BMI. The positive predictive values (PPVs) of the claims-based BMI categories were calculated with the corresponding 95% confidence intervals (CIs). The overall PPVs (95% CIs) in the MAPD and commercial samples were 90.3% (86.3%-94.4%) and 91.1% (87.3%-94.9%), respectively. In each BMI category, the PPVs (95% CIs) for the MAPD and commercial samples, respectively, were: underweight, 71.0% (55.0%-87.0%) and 75.9% (60.3%-91.4%); normal, 93.8% (85.4%-100%) and 87.8% (77.8%-97.8%); overweight, 97.4% (92.5%-100%) and 93.5% (84.9%-100%); obese class I, 96.9 (90.9%-100%) and 97.2% (91.9%-100%); obese class II, 97.0% (91.1%-100%) and 93.0% (85.4%-100%); and obese class III, 85.0% (73.3%-96.1%) and 97.1% (91.4%-100%). BMI categories derived from administrative claims, when available, can be used successfully particularly in the context of obesity research.
Barberio, Amanda; McLaren, Lindsay
2011-01-01
The behavioural and socio-cultural processes underlying the association between socio-economic position (SEP) and body mass index (BMI) remain unclear. Occupational physical activity (OPA) is one plausible explanatory variable that has not been previously considered. 1) To examine the association between OPA and BMI, and 2) to examine whether OPA mediates the SEP-BMI association, in a Canadian population-based sample. This cross-sectional study was based on secondary analysis of the 2008 Canadian Community Health Survey data, focusing on adults (age 25-64) working at a job or business (men, n = 1,036; women, n = 936). BMI was based on measured height and weight and we derived a novel indicator of OPA from the National Occupational Classification Career Handbook. Our analytic technique was ordinary least squares regression, adjusting for a range of socio-demographic, health and behavioural covariates. OPA was marginally associated with BMI in women, such that women with medium levels of OPA tended to be lighter than women with low levels of OPA, in adjusted models. No associations between OPA and BMI were detected for males. Baron and Kenny's (1986) three conditions for testing mediation were not satisfied, and thus we were unable to proceed with testing OPA as a mediator. Notwithstanding the small effects observed in women, overall the associations between OPA and BMI were neither clear nor strong, which could reflect conceptual and/or methodological reasons. Future research on this topic might incorporate other plausible explanatory variables (e.g., job-related psychosocial stress) and adopt a prospective design.
Guided self-help for the treatment of pediatric obesity.
Boutelle, Kerri N; Norman, Gregory J; Rock, Cheryl L; Rhee, Kyung E; Crow, Scott J
2013-05-01
Clinic-based programs for childhood obesity are not available to a large proportion of the population. The purpose of this study was to evaluate the efficacy of a guided self-help treatment of pediatric obesity (GSH-PO) compared with a delayed treatment control and to evaluate the impact of GSH-PO 6-months posttreatment. Fifty overweight or obese 8- to 12-year-old children and their parents were randomly assigned to immediate treatment or to delayed treatment. The GSH-PO includes 12 visits over 5 months and addresses key components included in more intensive clinic-based programs. Children and parents in the immediate treatment arm were assessed at time 1 (T1), participated in GSH-PO between T1 and T2, and completed their 6-month posttreatment assessment at T3. Children and parents in the delayed treatment arm were assessed at T1, participated in GSH-PO between T2 and T3, and completed their 6-month posttreatment assessment at T4. The main outcome measures were BMI, BMI z score, and percentage overweight (%OW). Children in the immediate treatment GSH-PO arm decreased their BMI significantly more than did the delayed treatment arm (BMI group × time = -1.39; P < .001). Similar results were found for BMI z score and %OW. At the 6-month posttreatment assessment, changes resulting from GSH-PO were maintained for BMI z score and %OW but not BMI (BMI time effect = -0.06, not significant; BMI z score time effect = -0.10, P < .001; %OW time effect = -4.86, P < .05). The GSH-PO showed initial efficacy in decreasing BMI for children in this study. Additional efficacy and translational studies are needed to additionally evaluate GSH-PO.
Pine, D S; Cohen, P; Brook, J; Coplan, J D
1997-01-01
OBJECTIVES: This study examined the longitudinal relationship between psychopathology and obesity in young adulthood. METHODS: More than 700 youth in a population-based sample were psychiatrically assessed in 1983 (mean age = 14 years) and 1992 (mean age = 22 years). Self-reported body mass index (BMI) in 1992 was regressed on measures of depression and conduct disorder as well as a set of covariates including indices of physical health, social class, intelligence, and cigarette and alcohol use. Associations were examined with BMI treated as a continuous variable and with a binary index of obesity derived from the BMI distribution in each gender. RESULTS: BMI in young adults was positively related to a number of covariates. With all covariates controlled, BMI was inversely related to adult depressive symptoms in males but not females. BMI was positively related to adolescent symptoms of conduct disorder in both sexes. Similar associations were found between psychiatric symptoms and obesity. CONCLUSIONS: Conduct disorder symptoms in adolescence predicted BMI and obesity in early adulthood. These associations remained after controlling for factors that can affect the association between psychopathology and obesity. PMID:9279265
Manyanga, Taru; Sellers, Elizabeth Ac; Wicklow, Brandy A; Doupe, Malcolm; Fransoo, Randall
2016-12-01
Insulin therapy is lifesaving treatment for individuals with type 1 diabetes (T1D). Its initiation maybe associated with significant weight gain because of change from a catabolic to an anabolic state. Excessive weight-gain increases the risk of obesity and is associated with chronic disease. To examine if change in body mass index (BMI) among children in the 6 months after diagnosis with type 1 diabetes mellitus is associated with long-term obesity. This was a population-based retrospective study of 377 children (aged 2-18 yr) with type 1 diabetes. Measured heights and weights were used to calculate BMI z-scores based on Centers for Disease Control and Prevention (CDC) cut-points. Generalized Linear Models using BMI group, and age group at diagnosis; postdiagnosis weight change; and sex were applied to assess associations between postdiagnosis weight change and BMI z-score at transition to adult care. Mean BMI z-score increased from 0.28 at diagnosis, to 0.53 at 6 months and 0.66 at transition to adult care. Change in BMI z-scores differed by initial BMI group and magnitude of postdiagnosis weight change. Younger children (<11 yr) had higher (p = 0.004) BMI z-scores at diagnosis but not at last visit (p = 0.1) than older (≥11 yr) children at diagnosis. BMI z-score at diagnosis, postdiagnosis weight change, female sex, and longer duration with TID were associated with higher BMI z-score at time of transition. BMI z-score at diagnosis was the strongest predictor of BMI z-score at time of transition to adult care, however; its effect was mediated by magnitude of weight change 6 months after diagnosis, sex, and age group at diagnosis. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Ochiai, Hirotaka; Shirasawa, Takako; Nishimura, Rimei; Morimoto, Aya; Shimada, Naoki; Ohtsu, Tadahiro; Kujirai, Emiko; Hoshino, Hiromi; Tajima, Naoko; Kokaze, Akatsuki
2010-08-18
Although the correlation coefficient between body mass index (BMI) and percent body fat (%BF) or waist circumference (WC) has been reported, studies conducted among population-based schoolchildren to date have been limited in Japan, where %BF and WC are not usually measured in annual health examinations at elementary schools or junior high schools. The aim of the present study was to investigate the relationship of BMI to %BF and WC and to examine the influence of gender and obesity on these relationships among Japanese schoolchildren. Subjects included 3,750 schoolchildren from the fourth and seventh grade in Ina-town, Saitama Prefecture, Japan between 2004 and 2008. Information about subject's age, sex, height, weight, %BF, and WC was collected from annual physical examinations. %BF was measured with a bipedal biometrical impedance analysis device. Obesity was defined by the following two criteria: the obese definition of the Centers for Disease Control and Prevention, and the definition of obesity for Japanese children. Pearson's correlation coefficients between BMI and %BF or WC were calculated separately for sex. Among fourth graders, the correlation coefficients between BMI and %BF were 0.74 for boys and 0.97 for girls, whereas those between BMI and WC were 0.94 for boys and 0.90 for girls. Similar results were observed in the analysis of seventh graders. The correlation coefficient between BMI and %BF varied by physique (obese or non-obese), with weaker correlations among the obese regardless of the definition of obesity; most correlation coefficients among obese boys were less than 0.5, whereas most correlations among obese girls were more than 0.7. On the other hand, the correlation coefficients between BMI and WC were more than 0.8 among boys and almost all coefficients were more than 0.7 among girls, regardless of physique. BMI was positively correlated with %BF and WC among Japanese schoolchildren. The correlations could be influenced by obesity as well as by gender. Accordingly, it is essential to consider gender and obesity when using BMI as a surrogate for %BF and WC for epidemiological use.
Hunma, S; Ramuth, H; Miles-Chan, J L; Schutz, Y; Montani, J-P; Joonas, N; Dulloo, A G
2016-01-01
Background and Aims: Global estimates of overweight and obesity prevalence are based on the World Health Organisation (WHO) body mass index (BMI) cut-off values of 25 and 30 kg m−2, respectively. To validate these BMI cut-offs for adiposity in the island population of Mauritius, we assessed the relationship between BMI and measured body fat mass in this population according to gender and ethnicity. Methods: In 175 young adult Mauritians (age 20-42 years) belonging to the two main ethnic groups—Indians (South Asian descent) and Creoles (African/Malagasy descent), body weight, height and waist circumference (WC) were measured, total body fat assessed by deuterium oxide (D2O) dilution and trunk (abdominal) fat by segmental bioimpedance analysis. Results: Compared to body fat% predicted from BMI using Caucasian-based equations, body fat% assessed by D2O dilution in Mauritians was higher by 3–5 units in Indian men and women as well as in Creole women, but not in Creole men. This gender-specific ethnic difference in body composition between Indians and Creoles is reflected in their BMI–Fat% relationships, as well as in their WC–Trunk Fat% relationships. Overall, WHO BMI cut-offs of 25 and 30 kg m−2 for overweight and obesity, respectively, seem valid only for Creole men (~24 and 29.5, respectively), but not for Creole women whose BMI cut-offs are 2–4 units lower (21–22 for overweight; 27–28 for obese) nor for Indian men and women whose BMI cut-offs are 3–4 units lower (21–22 for overweight; 26–27 for obese). Conclusions: The use of BMI cut-off points for classifying overweight and obesity need to take into account both ethnicity and gender to avoid gross adiposity status misclassification in this population known to be at high risk for type-2 diabetes and cardiovascular diseases. This is particularly of importance in obesity prevention strategies both in clinical medicine and public health. PMID:27698347
Helajärvi, Harri; Rosenström, Tom; Pahkala, Katja; Kähönen, Mika; Lehtimäki, Terho; Heinonen, Olli J.; Oikonen, Mervi; Tammelin, Tuija; Viikari, Jorma S. A.; Raitakari, Olli T.
2014-01-01
Background Television viewing time (TV time) is associated with increased weight and obesity, but it is unclear whether this relation is causal. Methods and Results We evaluated changes in TV time, waist circumference (waist) and body mass index (BMI) in participants of the population-based Cardiovascular Risk in Young Finns study (761 women, 626 men aged 33–50 years in 2011). Waist and BMI were measured, and TV time was self-reported in 2001, 2007, and 2011. Changes in waist and BMI between 2001 and 2011 were studied a) for the whole group, b) in groups with constantly low (≤1 h/d), moderate (1–3 h/d), or high (≥3 h/d) TV time, and c) in groups with ≥1 hour in-/decrease in daily TV time between 2001 and 2011. BMIs in 1986 were also evaluated. We explored the causal relationship of TV time with waist and BMI by classical temporality criterion and recently introduced causal-discovery algorithms (pairwise causality measures). Both methods supported the hypothesis that TV time is causative to weight gain, and no evidence was found for reverse or bidirectional causality. Constantly low TV time was associated with less pronounced increase in waist and BMI, and waist and BMI increase was lower with decreased TV time (P<0.05). The increase in waist and BMI was at least 2-fold in the high TV time group compared to the low TV time group (P<0.05). Adjustment for age, sex, BMI/waist in 2001, physical activity, energy intake, or smoking did not change the results. Conclusions In young and middle-aged adults, constantly high TV time is temporally antecedent to BMI and waist increase. PMID:25028965
Helajärvi, Harri; Rosenström, Tom; Pahkala, Katja; Kähönen, Mika; Lehtimäki, Terho; Heinonen, Olli J; Oikonen, Mervi; Tammelin, Tuija; Viikari, Jorma S A; Raitakari, Olli T
2014-01-01
Television viewing time (TV time) is associated with increased weight and obesity, but it is unclear whether this relation is causal. We evaluated changes in TV time, waist circumference (waist) and body mass index (BMI) in participants of the population-based Cardiovascular Risk in Young Finns study (761 women, 626 men aged 33-50 years in 2011). Waist and BMI were measured, and TV time was self-reported in 2001, 2007, and 2011. Changes in waist and BMI between 2001 and 2011 were studied a) for the whole group, b) in groups with constantly low (≤ 1 h/d), moderate (1-3 h/d), or high (≥ 3 h/d) TV time, and c) in groups with ≥ 1 hour in-/decrease in daily TV time between 2001 and 2011. BMIs in 1986 were also evaluated. We explored the causal relationship of TV time with waist and BMI by classical temporality criterion and recently introduced causal-discovery algorithms (pairwise causality measures). Both methods supported the hypothesis that TV time is causative to weight gain, and no evidence was found for reverse or bidirectional causality. Constantly low TV time was associated with less pronounced increase in waist and BMI, and waist and BMI increase was lower with decreased TV time (P<0.05). The increase in waist and BMI was at least 2-fold in the high TV time group compared to the low TV time group (P<0.05). Adjustment for age, sex, BMI/waist in 2001, physical activity, energy intake, or smoking did not change the results. In young and middle-aged adults, constantly high TV time is temporally antecedent to BMI and waist increase.
Sultana, Tania; Karim, Md Nazmul; Ahmed, Tahmeed; Hossain, Md Iqbal
2015-01-01
Body-mass-index (BMI) is widely accepted as an indicator of nutritional status in adults. Mid-upper-arm-circumference (MUAC) is another anthropometric-measure used primarily among children. The present study attempted to evaluate the use of MUAC as a simpler alternative to BMI cut-off <18.5 to detect adult undernutrition, and thus to suggest a suitable cut-off value. A cross-sectional study in 650 adult attendants of the patients of Dhaka-Hospital, of the International Centre for Diarrheal Disease Research, Bangladesh (icddr,b) was conducted during 2012. Height, weight and MUAC of 260 male and 390 female aged 19-60 years were measured. Curve estimation was done to assess the linearity and correlation of BMI and MUAC. Sensitivity and specificity of MUAC against BMI<18.5 was determined. Separate Receiver-operating-characteristic (ROC) analyses were performed for male and female. Area under ROC curve and Youden's index were generated to aid selection of the most suitable cut-off value of MUAC for undernutrition. A value with highest Youden's index was chosen for cut-off. Our data shows strong significant positive correlation (linear) between MUAC and BMI, for males r = 0.81, (p<0.001) and for females r = 0.828, (p<0.001). MUAC cut-off <25.1 cm in males (AUC 0.930) and <23.9 cm in females (AUC 0.930) were chosen separately based on highest corresponding Youden's index. These values best correspond with BMI cut-off for under nutrition (BMI <18.5) in either gender. MUAC correlates closely with BMI. For the simplicity and easy to remember MUAC <25 cm for male and <24 cm for female may be considered as a simpler alternative to BMI cut-off <18.5 to detect adult undernutrition.
Neuman, Melissa; Kawachi, Ichiro; Gortmaker, Steven; Subramanian, SV.
2014-01-01
Background Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES). Objective Using nationally representative survey data from 38 countries and national economic indicators from the World Bank and other international organizations, we estimated ecological and multilevel models to assess the association between national levels of gross domestic product (GDP), foreign direct investment (FDI), and mean tariffs and BMI. Design We used linear regression to estimate the ecological association between average annual change in economic indicators and BMI, and multilevel linear or ordered multinomial models to estimate associations between national economic indicators and individual BMI or over- and underweight. We also included cross-level interaction terms to highlight differences in the association of BMI with national economic indicators by type of residence or socioeconomic status (SES). Results There was a positive but non-significant association of GDP and mean BMI. This positive association of GDP and BMI was greater among rural residents and the poor. There were no significant ecological associations between measures of trade openness and mean BMI, but FDI was positively associated with BMI among the poorest respondents and in rural areas and tariff levels were negatively associated with BMI among poor and rural respondents. Conclusion Measures of national income and trade openness have different associations with the BMI across populations within developing countries. These divergent findings underscore the complexity of the effects of development on health and the importance of considering how the health effects of “globalizing” economic and cultural trends are modified by individual-level wealth and residence. PMID:24919199
Adult height and glucose tolerance: a re-appraisal of the importance of body mass index.
Rehunen, S K J; Kautiainen, H; Eriksson, J G; Korhonen, P E
2017-08-01
To study both the association between adult height and glucose regulation based on findings from a 75-g oral glucose tolerance test, and the combined effect of height and adiposity on glucose values. We conducted a population-based, cross-sectional study among apparently healthy people with high cardiovascular risk living in south-western Finland. The study included 2659 participants aged 45-70 years, who had at least one cardiovascular risk factor but no previously diagnosed diabetes or manifested cardiovascular disease. An oral glucose tolerance test was performed in all participants. Height and weight were measured and BMI was calculated. The participants were divided into five height groups based on normal distribution. For further analysis of the association between height and glucose concentrations the participants were divided into four BMI groups (<25.0 kg/m 2 ; 25-29.9 kg/m 2 ; 30-34.9 kg/m 2 ; ≥35 kg/m 2 ). Data were analysed using age-adjusted linear regression models. Height was inversely associated with 2-h plasma glucose, but not with fasting plasma glucose concentration. No gender difference was observed. The 2-h plasma glucose values increased with an increase in BMI, so that height was inversely associated with 2-h plasma glucose in the three lowest BMI groups, but not in the highest BMI group (P=0.33). Taller people had lower 2-h plasma glucose concentrations than shorter people, up to a BMI of 35 kg/m 2 . Adjustment for height and BMI is needed for accurate interpretation of oral glucose tolerance tests. © 2017 Diabetes UK.
Tuan, Nguyen T; Wang, Youfa
2014-01-01
Objectives To evaluate performance of anthropometric measures relative to percentage body fat (%BF) measured by dual-energy X-ray absorptiometry (DXA) in children. Design and Methods We used data from 8-19-y-old US children enrolled in a nationally representative cross-sectional survey in 2001-2004 (n=5,355) with measured %BF, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and triceps skinfold thickness (TSF). Agreement and prediction were evaluated based on standardized regression coefficients (β), kappa, and the area under the receiver-operating characteristic curves (AUC). Results The association between Z scores for %BF and anthropometric measures was strong (β of ~0.75-0.90, kappa of ~0.60-0.75, and AUC of ~0.87-0.98; P<0.001 for all), with only some variations by race-ethnicity, mostly in girls. In boys, TSF and WHtR Z-scores had stronger agreement with %BF than BMI (β of 0.91 and 0.86 vs. 0.79, kappa of 0.75 and 0.71 vs. 0.59, and AUC of 0.97 and 0.97 vs. 0.91; P<0.05 for all). In boys with BMI < median but %BF ≥ median, β value of TSF Z score was higher than those from BMI. In girls, TSF also provided a higher agreement than BMI, but was only statistically higher for kappa. Conclusions High agreement and small racial-ethnic variations in the association between percentage body fat and anthropometric measures support the use of anthropometric measures, especially waist-to-height ratio and triceps skinfold thickness, as proxy indicators for adiposity. PMID:24415710
López, Angel A.; Cespedes, Mey L.; Vicente, Teofila; Tomas, Matias; Bennasar-Veny, Miguel; Tauler, Pedro; Aguilo, Antoni
2012-01-01
Background Body fat content and fat distribution or adiposity are indicators of health risk. Several techniques have been developed and used for assessing and/or determining body fat or adiposity. Recently, the Body Adiposity Index (BAI), which is based on the measurements of hip circumference and height, has been suggested as a new index of adiposity. The aim of the study was to compare BAI and BMI measurements in a Caucasian population from a European Mediterranean area and to assess the usefulness of the BAI in men and women separately. Research Methodology/Principal Findings A descriptive cross-sectional study was conducted in a Caucasian population. All participants in the study (1,726 women and 1,474 men, mean age 39.2 years, SD 10.8) were from Mallorca (Spain). Anthropometric data, including percentage of body fat mass obtained by Bioelectrical Impedance Analysis, were determined. Body Mass Index (BMI) and BAI were calculated. BAI and BMI showed a good correlation (r = 0.64, p<0.001). A strong correlation was also found between BAI and the % fat determined using BIA (r = 0.74, p<0.001), which is even stronger than the one between BMI and % fat (r = 0.54, p<0.001). However, the ROC curve analysis showed a higher accuracy for BMI than for the BAI regarding the discriminatory capacity. Conclusion The BAI could be a good tool to measure adiposity due, at least in part, to the advantages over other more complex mechanical or electrical systems. Probably, the most important advantage of BAI over BMI is that weight is not needed. However, in general it seems that the BAI does not overcome the limitations of BMI. PMID:22496915
Racial Differences in Quantitative Measures of Area and Volumetric Breast Density
McCarthy, Anne Marie; Keller, Brad M.; Pantalone, Lauren M.; Hsieh, Meng-Kang; Synnestvedt, Marie; Conant, Emily F.; Armstrong, Katrina; Kontos, Despina
2016-01-01
Abstract Background: Increased breast density is a strong risk factor for breast cancer and also decreases the sensitivity of mammographic screening. The purpose of our study was to compare breast density for black and white women using quantitative measures. Methods: Breast density was assessed among 5282 black and 4216 white women screened using digital mammography. Breast Imaging-Reporting and Data System (BI-RADS) density was obtained from radiologists’ reports. Quantitative measures for dense area, area percent density (PD), dense volume, and volume percent density were estimated using validated, automated software. Breast density was categorized as dense or nondense based on BI-RADS categories or based on values above and below the median for quantitative measures. Logistic regression was used to estimate the odds of having dense breasts by race, adjusted for age, body mass index (BMI), age at menarche, menopause status, family history of breast or ovarian cancer, parity and age at first birth, and current hormone replacement therapy (HRT) use. All statistical tests were two-sided. Results: There was a statistically significant interaction of race and BMI on breast density. After accounting for age, BMI, and breast cancer risk factors, black women had statistically significantly greater odds of high breast density across all quantitative measures (eg, PD nonobese odds ratio [OR] = 1.18, 95% confidence interval [CI] = 1.02 to 1.37, P = .03, PD obese OR = 1.26, 95% CI = 1.04 to 1.53, P = .02). There was no statistically significant difference in BI-RADS density by race. Conclusions: After accounting for age, BMI, and other risk factors, black women had higher breast density than white women across all quantitative measures previously associated with breast cancer risk. These results may have implications for risk assessment and screening. PMID:27130893
Ozmen, Dilek; Ozmen, Erol; Ergin, Dilek; Cetinkaya, Aynur Cakmakci; Sen, Nesrin; Dundar, Pinar Erbay; Taskin, E Oryal
2007-01-01
Background The purpose of this study was to determine the prevalence of overweight and obesity and to examine the effects of actual weight status, perceived weight status and body satisfaction on self-esteem and depression in a high school population in Turkey. Methods A cross-sectional survey of 2101 tenth-grade Turkish adolescents aged 15–18 was conducted. Body mass index (BMI) was calculated using weight and height measures. The overweight and obesity were based on the age- and gender-spesific BMI cut-off points of the International Obesity Task Force values. Self-esteem was measured using the Rosenberg Self-Esteem Scale, and depression was measured using Children's Depression Inventory. Logistic regression analysis was used to examine relationships among the variables. Results Based on BMI cut-off points, 9.0% of the students were overweight and 1.1% were obese. Logistic regression analysis indicated that (1) being male and being from a higher socio-economical level were important in the prediction of overweight based on BMI; (2) being female and being from a higher socio-economical level were important in the prediction of perceived overweight; (3) being female was important in the prediction of body dissatisfaction; (4) body dissatisfaction was related to low self-esteem and depression, perceived overweight was related only to low self-esteem but actual overweight was not related to low self-esteem and depression in adolescents. Conclusion The results of this study suggest that school-based adolescents in urban Turkey have a lower risk of overweight and obesity than adolescents in developed countries. The findings of this study suggest that psychological well-being of adolescents is more related to body satisfaction than actual and perceived weight status is. PMID:17506879
Sørensen, Thorkild Ia; Ajslev, Teresa Adeltoft; Ängquist, Lars; Morgen, Camilla Schmidt; Ciuchi, Ioana Gabriela; Davey Smith, George
2016-08-01
Maternal prepregnancy adiposity may influence child adiposity beyond the transmitted genetic effects, which, if true, may accelerate the obesity epidemic, but the evidence for this mechanism is inconsistent. The aim was to assess whether the associations of maternal body mass index (BMI) with child anthropometric measurements from birth through infancy and at 7 y of age exceed those of paternal associations. In the Danish National Birth Cohort, information on parental and child anthropometric measures is available for 30,655 trio families from maternal interviews during pregnancy and the postpartum period and from a 7-y follow-up. By using multiple linear and logistic regression models of child SD (z) scores of weight and BMI at birth, 5 mo, 12 mo, and 7 y of age, and of child overweight at age 7 y, we compared associations with maternal prepregnancy and postpartum BMI z scores and with paternal BMI z scores. When comparing maternal-child and paternal-child BMI z score associations, the strongest associations were observed with mothers' BMI at birth [maternal and paternal BMI z scores: 0.143 (95% CI: 0.130, 0.155) and 0.017 (95% CI: 0.005, 0.029), respectively] and throughout infancy, but the relative difference in the associations declined by child age [for BMI z score at child age 7 y per maternal and paternal BMI z scores: 0.208 (95% CI: 0.196, 0.220) and 0.154 (95% CI: 0.143, 0.166), respectively]. At 7 y of age, ORs of child overweight were 2.30 (95% CI: 1.99, 2.67) by maternal overweight and 1.96 (95% CI: 1.74, 2.21) by paternal overweight. There were no differences between the results based on maternal BMI before and after pregnancy or on child's weight adjusted for length or height. The associations of child weight and BMI with maternal BMI were stronger than with paternal BMI. The differences between the associations were strong at birth but declined with child aging. © 2016 American Society for Nutrition.
Mediation and modification of genetic susceptibility to obesity by eating behaviors.
de Lauzon-Guillain, Blandine; Clifton, Emma Ad; Day, Felix R; Clément, Karine; Brage, Soren; Forouhi, Nita G; Griffin, Simon J; Koudou, Yves Akoli; Pelloux, Véronique; Wareham, Nicholas J; Charles, Marie-Aline; Heude, Barbara; Ong, Ken K
2017-10-01
Background: Many genetic variants show highly robust associations with body mass index (BMI). However, the mechanisms through which genetic susceptibility to obesity operates are not well understood. Potentially modifiable mechanisms, including eating behaviors, are of particular interest to public health. Objective: Here we explore whether eating behaviors mediate or modify genetic susceptibility to obesity. Design: Genetic risk scores for BMI (BMI-GRSs) were calculated for 3515 and 2154 adults in the Fenland and EDEN (Etude des déterminants pré et postnatals de la santé et du développement de l'enfant) population-based cohort studies, respectively. The eating behaviors-emotional eating, uncontrolled eating, and cognitive restraint-were measured through the use of a validated questionnaire. The mediating effect of each eating behavior on the association between the BMI-GRS and measured BMI was assessed by using the Sobel test. In addition, we tested for interactions between each eating behavior and the BMI-GRS on BMI. Results: The association between the BMI-GRS and BMI was mediated by both emotional eating (EDEN: P- Sobel = 0.01; Fenland: P- Sobel = 0.02) and uncontrolled eating (EDEN: P- Sobel = 0.04; Fenland: P -Sobel = 0.0006) in both sexes combined. Cognitive restraint did not mediate this association ( P -Sobel > 0.10), except among EDEN women ( P -Sobel = 0.0009). Cognitive restraint modified the relation between the BMI-GRS and BMI among men (EDEN: P -interaction = 0.0001; Fenland: P -interaction = 0.04) and Fenland women ( P -interaction = 0.0004). By tertiles of cognitive restraint, the association between the BMI-GRS and BMI was strongest in the lowest tertile of cognitive restraint, and weakest in the highest tertile. Conclusions: Genetic susceptibility to obesity was partially mediated by the "appetitive" eating behavior traits (uncontrolled and emotional eating) and, in 3 of the 4 population groups studied, was modified by cognitive restraint. High levels of cognitive control over eating appear to attenuate the genetic susceptibility to obesity. Future research into interventions designed to support restraint may help to protect genetically susceptible individuals from weight gain. © 2017 American Society for Nutrition.
Olstad, Dana Lee; Ball, Kylie; Wright, Craig; Abbott, Gavin; Brown, Erin; Turner, Anne Isabella
2016-01-01
Disadvantaged communities provide adverse psychosocial exposures that have been linked to high levels of stress, and this may provide one explanatory pathway linking socioeconomic disadvantage to obesity. This study used hair cortisol analysis to quantify associations between stress and body mass index (BMI), and between hair cortisol and perceived psychological stress levels, in women and children living in socioeconomically disadvantaged neighborhoods. Participants were a volunteer sample of 70 women from the Resilience for Eating and Activity Despite Inequality study, including 30 maternal-child pairs. Women self-reported body weight, height and perceived psychological stress using the Perceived Stress Scale (PSS), and provided hair samples for themselves and their child. Children's body weight and height were measured. Following extraction, hair cortisol levels were measured using enzyme-linked immunosorbent assay. Multiple linear regression models examined associations between stress and BMI, and between hair cortisol and perceived stress levels in women and children. Women's hair cortisol levels were not associated with their BMI or PSS scores. Women's PSS scores were positively associated with their BMI (p = 0.015). Within maternal-child pairs, mothers and children's hair cortisol levels were strongly positively associated (p = 0.006). Maternal hair cortisol levels and PSS scores were unrelated to their child's zBMI. Children's hair cortisol levels were not associated with their zBMI or with their mother's PSS score. Findings suggest that cortisol-based and perceived psychological measures of stress may be distinct among women and children living in disadvantaged neighborhoods. Perceived psychological measures may be more important predictors of weight-related risk.
Næss, Marit; Holmen, Turid Lingaas; Langaas, Mette; Bjørngaard, Johan Håkon; Kvaløy, Kirsti
2016-01-01
The main aim of this study was to examine weight associations between parents and offspring at two time points: 1995-97 and 2006-08, taking into account body mass index (BMI) and waist circumference. The study included 8425 parent-offspring trios who participated in the population based Health Study of Nord Trøndelag (the HUNT Study), Norway, at either the HUNT2 (1995-97) or the HUNT3 (2006-08) survey. We used linear mixed effects models with siblings clustered within mothers to analyze the associations between 1) parental grouped BMI and offspring BMI z-scores and 2) parental grouped waist circumference and offspring waist circumference z-scores. Adolescent and adult overweight and obesity were higher in 2006-08 than in 1995-97, with the greatest increase observed in waist circumference. Both mother's and father's BMI and waist circumference were strongly associated with corresponding measures in offspring. Compared with both parents being normal weight (BMI <25 kg/m2), having two overweight or obese parents (BMI ≥25 kg/m2) was associated with a higher offspring BMI z-score of 0.76 (95% CI; 0.65, 0.87) and 0.64 (95% CI; 0.48, 0.80) in daughters, and 0.76 (95% CI; 0.65, 0.87) and 0.69 (95% CI; 0.53, 0.80) in sons, in 1995-97 and 2006-08 respectively. Offspring with one parent being overweight/obese had BMI z-scores of approximately half of offspring with two parents categorized as overweight/obese. The results of the waist circumference based analyses did not differ substantially from the BMI based analyses. Parental overweight was strongly positively associated with offspring weight both in 1995-97 and 2006-08 where both parents being overweight/obese gave the largest effect. This seemingly stable association, strongly address the importance of public health initiatives towards preventing obesity in parents of both sexes to decrease further obesity expansion in offspring.
Rajagopalan, Archana; Balaji, Nisha
2017-01-01
Since a few studies exist on the association of neck circumference (NC) and obesity with blood pressure (BP) among adolescents in India, we found it highly relevant to measure the NC and body mass index (BMI) using them as indicators of upper body subcutaneous fat and obesity and relate them to BP in a rural and urban adolescent population in North Tamil Nadu. This is a community-based cross-sectional study of descriptive design where 500 students from urban and rural areas were selected, and their BMI, NC, and BP were measured using standardized instruments. Among urban and rural population high and normal NC positively correlated with BMI, systolic BP (SBP) and diastolic BP (DBP), indicating that the data clearly reflects increase in BMI, SBP, and DBP values with increase in NC or vice versa. The correlation was statistically significant ( P < 0.001) significantly higher BMI ( P < 0.01), SBP ( P < 0.05), and NC ( P < 0.001) was observed in urban population than rural. DBP was not significantly different in rural and urban population. 95 th percentile values are significantly higher than rest in both urban and rural population. Only the 95 th percentile values correlate and reflect similar changes in BMI, SBP, and DBP. Our studies indicate a strong association of elevation in BP with high NC and increase in BMI. Overweight and obesity were positively correlated with increase in SBP and DBP.
Lim, Unhee; Wilkens, Lynne R; Albright, Cheryl L; Novotny, Rachel; Le Marchand, Loïc; Kolonel, Laurence N
2013-12-01
Adiposity is often approximated by body mass index (BMI) in population studies based on self-reported weight and height (kg/m(2)). However, self-reports tend to underestimate weight and overestimate height, leading to an underestimation of BMI and the prevalence of overweight and obesity. We examined a subgroup of the Multiethnic Cohort Study participants to determine how well self-reported and measured anthropometry correlate with each other, overall and by race/ethnicity, total and abdominal adiposity level, and amount of adulthood weight gain. A cross-sectional sample of 30 Caucasian and 30 Japanese American female cohort participants, between ages 60-65, was selected in such a way the two groups had a similar BMI distribution across the range (18.5-40 kg/m(2)). Subjects first reported their weight, height, and waist and hip circumferences at home and within several days underwent objective measurements by trained staff and also a whole-body scan of dual energy X-ray absorptiometry (DXA) at a study clinic. The women under-reported their weight by 0.93 kg, waist circumference by 3.95 cm and hip circumference by 0.10 cm and over-reported their height by 0.85 cm. This led to an under-estimation of BMI by 0.67 kg/m(2) and waist/hip ratio by 0.04. The effect of misreporting (self-report minus measurement) on BMI and waist/hip ratio was significantly greater in higher BMI groups (p-heterogeneity = 0.007 for BMI, 0.0005 for waist/hip ratio), among women with central obesity (waist circumference > 88 cm; p-heterogeneity = 0.006, 0.01) and among women who had gained higher amounts of weight since age 21 (p-heterogeneity = 0.03, 0.01) compared to their counterparts. A similar trend of greater self-report bias was found among women with higher levels of DXA-based total and abdominal adiposity. We did not observe any heterogeneity in these findings by ethnicity. Our results confirm that a small degree of under-reporting exists in self-reported BMI and waist/hip ratio values, and it tends to increase in women with a larger current body size or history of greater weight gain. Studies are underway to investigate this question in greater depth in men and women from five race/ethnic groups.
University of Hawai‘i Cancer Center Connection
Lim, Unhee; Wilkens, Lynne R; Albright, Cheryl L; Novotny, Rachel; Le Marchand, Loïc; Kolonel, Laurence N
2013-01-01
Adiposity is often approximated by body mass index (BMI) in population studies based on self-reported weight and height (kg/m2). However, self-reports tend to underestimate weight and overestimate height, leading to an underestimation of BMI and the prevalence of overweight and obesity. We examined a subgroup of the Multiethnic Cohort Study participants to determine how well self-reported and measured anthropometry correlate with each other, overall and by race/ethnicity, total and abdominal adiposity level, and amount of adulthood weight gain. A cross-sectional sample of 30 Caucasian and 30 Japanese American female cohort participants, between ages 60–65, was selected in such a way the two groups had a similar BMI distribution across the range (18.5–40 kg/m2). Subjects first reported their weight, height, and waist and hip circumferences at home and within several days underwent objective measurements by trained staff and also a whole-body scan of dual energy X-ray absorptiometry (DXA) at a study clinic. The women under-reported their weight by 0.93 kg, waist circumference by 3.95 cm and hip circumference by 0.10 cm and over-reported their height by 0.85 cm. This led to an under-estimation of BMI by 0.67 kg/m2 and waist/hip ratio by 0.04. The effect of misreporting (self-report minus measurement) on BMI and waist/hip ratio was significantly greater in higher BMI groups (p-heterogeneity = 0.007 for BMI, 0.0005 for waist/hip ratio), among women with central obesity (waist circumference > 88 cm; p-heterogeneity = 0.006, 0.01) and among women who had gained higher amounts of weight since age 21 (p-heterogeneity = 0.03, 0.01) compared to their counterparts. A similar trend of greater self-report bias was found among women with higher levels of DXA-based total and abdominal adiposity. We did not observe any heterogeneity in these findings by ethnicity. Our results confirm that a small degree of under-reporting exists in self-reported BMI and waist/hip ratio values, and it tends to increase in women with a larger current body size or history of greater weight gain. Studies are underway to investigate this question in greater depth in men and women from five race/ethnic groups. PMID:24377081
Associations between family circumstance and weight status of Australian children.
Hesketh, Kylie; Crawford, David; Salmon, Jo; Jackson, Michelle; Campbell, Karen
2007-01-01
To examine associations between weight status and multiple indicators of family circumstance in Australian elementary school children. Data were combined from the 2001 Children's Leisure Activities Study (CLAS Study) and 2002/3 Health, Eating and Play Study (HEAP Study), involving 2520 children in Grades Prep (mean age 6 years) and 5-6 (mean age 11 years) in Melbourne, Australia. Children's body mass index (BMI) was calculated from measured height and weight. Weight status (non-overweight or overweight) was determined according to International Obesity Taskforce cut-off points and BMI was transformed to z-scores based on the 2000 US growth chart data. Parents reported family circumstance (number of parents in the home, marital status, presence of siblings, parental education, parental employment status, parental work hours [HEAP Study only]) and parental BMI. Regression analyses were conducted for the sample overall and separately for young girls, young boys, older girls and older boys. Children in single-parent homes, those without siblings, and those with less educated mothers and fathers tended to have higher z-BMIs (p=0.002, p=0.003, p<0.001 and p<0.001, respectively) and were more likely to be overweight (p=0.003, p<0.001, p<0.001 and p=0.02, respectively). Associations were stronger for older children. Parental employment and work hours were not consistently associated with child weight status. The multivariable models did not demonstrate a cumulative explanatory effect (R(2)=0.02), except when maternal BMI was included (R(2)=0.07). Individual measures of family circumstance were differentially associated with child weight status and appeared to be largely independent of other measures of family circumstance. Childhood overweight interventions may need to be tailored based on the age, gender, maternal BMI and family circumstances of the target group.
Mollerup, Pernille M; Nielsen, Tenna R H; Bøjsøe, Christine; Kloppenborg, Julie T; Baker, Jennifer L; Holm, Jens-Christian
2017-06-01
The quality of life is compromised in children and adolescents with overweight or obesity. The aim of this study was to evaluate whether the quality of life improves during a community-based overweight and obesity treatment, and whether improvements depend on reductions in the degree of obesity. Quality of life was assessed using the Pediatric Quality of Life Inventory (PedsQL) 4.0 in children and adolescents aged 3-18 years with overweight or obesity [body mass index (BMI) ≥85th percentile] upon entry into a community-based chronic care overweight and obesity treatment based upon The Children's Obesity Clinic's Treatment protocol, and upon follow-up after 10-30 months of treatment. Height and weight were measured at each consultation and converted into a BMI standard deviation score (SDS). Upon entry, 477 children (212 boys) completed a PedsQL, and 317 (143 boys) completed another PedsQL after a median of 13 months of treatment. Quality of life improved (p < 0.001), regardless of sex, age, and pubertal development stage upon entry (p ≥ 0.108). Greater reductions in BMI SDS and high socioeconomic status were associated with greater improvements in the quality of life (p ≤ 0.047). However, improvements also occurred in children and adolescents with low socioeconomic status or who increased their BMI SDS (p < 0.001). Improvements in quality of life occurred in children and adolescents during a community-based overweight and obesity treatment, even in children and adolescents who increased their BMI SDS. Thus, improvements may be due to the treatment itself and not exclusively to reductions in BMI SDS. Clinicaltrials.gov, ID-no.: NCT02013843.
Zillikens, M Carola; Uitterlinden, André G; van Leeuwen, Johannes P T M; Berends, Anne L; Henneman, Peter; van Dijk, Ko Willems; Oostra, Ben A; van Duijn, Cornelia M; Pols, Huibert A P; Rivadeneira, Fernando
2010-02-01
Despite the positive association between body mass index (BMI) and bone mineral density (BMD) and content (BMC), the role of fat distribution in BMD/BMC remains unclear. We examined relationships between BMD/BMC and various measurements of fat distribution and studied the role of BMI, insulin, and adiponectin in these relations. Using a cross-sectional investigation of 2631 participants from the Erasmus Rucphen Family study, we studied associations between BMD (using dual-energy X-ray absorptiometry (DXA]) at the hip, lumbar spine, total body (BMD and BMC), and fat distribution by the waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR), and DXA-based trunk-to-leg fat ratio and android-to-gynoid fat ratio. Analyses were stratified by gender and median age (48.0 years in women and 49.2 years in men) and were performed with and without adjustment for BMI, fasting insulin, and adiponectin. Using linear regression (adjusting for age, height, smoking, and use of alcohol), most relationships between fat distribution and BMD and BMC were positive, except for WTR. After BMI adjustment, most correlations were negative except for trunk-to-leg fat ratio in both genders. No consistent influence of age or menopausal status was found. Insulin and adiponectin levels did not explain either positive or negative associations. In conclusion, positive associations between android fat distribution and BMD/BMC are explained by higher BMI but not by higher insulin and/or lower adiponectin levels. Inverse associations after adjustment for BMI suggest that android fat deposition as measured by the WHR, WTR, and DXA-based android-to-gynoid fat ratio is not beneficial and possibly even deleterious for bone.
Weight Stigma Mediates the Association Between BMI and Self-Reported Health
Hunger, Jeffrey M.; Major, Brenda
2014-01-01
Objective Weight stigma is pervasive in the United States. We tested the hypothesis that stigma may be a mechanism through which obesity negatively affects self-reported health. Two studies examined whether perceived weight-based discrimination and concerns over weight stigma mediated the association between BMI and self-reported psychological health (Study 1) and physical health (Study 2). Method In two online studies, adult community members completed measures of stigma-relevant mediators (perceived weight discrimination, weight stigma concerns) and provided their height and weight. In Study 1 (N = 171) participants also completed measures of psychological health (depression, self-esteem, quality of life), whereas participants in Study 2 (N = 194) also completed a measure of self-reported physical health. Process modeling was used to simultaneously test for mediation through perceived discrimination and stigma concerns independently as well as for serial mediation through both variables. Results Across both studies, we hypothesized and found support for serial mediation such that BMI was indirectly related to poorer self-reported health through its effect on perceived discrimination and concerns about stigma. Additionally, concerns about stigma mediated the association between BMI and health independent of perceived discrimination. Conclusion Weight stigma is an important mediator of the association between BMI and self-reported health. Furthermore, results indicate that concerns about facing stigma in the future mediate the link between perceived past experiences of discrimination and psychological and physical health. PMID:25133837
Predictive Demi-Span Equations for Estimation of Stature in Aged Mexican Americans.
Siordia, C; Panas, L J; Markides, K
2012-01-01
To develop demi-span height predictive equations for older Mexican Americans. Cross-sectional study. Data files housed by the Sociomedical Division in the department of Community Health and Preventive Medicine at the University of Texas Medical Branch in Galveston, Texas. 1,078 (700 females, 378 males) Southwest U.S.A. community-dwelling older Mexican Americans, aged 80-102 years. Demi-span, height, weight, BMI, demi-span equivalent height (DSEH), DSEH derived BMI (DS-BMI). Bland and Altman agreement analysis on: height and DSEH; BMI and DS-BMI. Paired t-test comparing derived and actual measures by single-age units and sex. DSEH with Bassey equations (DSEHBassey) are significantly different than actual measures. DSEHBassey derived BMIs (DSBasseyBMIs) are significantly different than BMIs computed from actual measures. DSEH with Mexican equations (DSEHMexican) are not significantly different than real measures. DSEHMexican derived BMIs (DSMexicanBMIs) are not significantly different than real measures. These findings provide evidence that both DSEHBassey and DSBasseyBMIs estimates are significantly different from measured height and BMI. Both DSEHMexican and DSMexicanBMIs estimates are shown to produce similar height and BMI estimates to those obtained from real measures. .
Hajian-Tilaki, Karimollah; Heidari, Bezad
2015-01-01
Several measures of adiposity have been used for predicting diabetes. The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent. This study designed to compare the ability of different anthropometric measures in predicting diabetes and to determine their optimal cut-off values. A population-based cross-sectional study was conducted with 1,000 representative sample among adults aged 20-80 years in Babol, the Northern Iran. The demographic data were collected in a household survey, and the anthropometric measures of weight, height, waist, and hip circumference were measured with a standard method. Fasting blood sugar (FBS) ≥126 mg/dl was considered as diabetes. receiver operating characteristic analysis was used to estimate the predictive ability of different anthropometric indexes and their optimal cut-off values for high FBS. The overall prevalence rate of diabetes was 14.0% (14.4% in men vs. 13.5% in women, P = 0.65). The prevalence rate was significantly higher in older age (>60 years), low educated and obese (P = 0.001). The mean of BMI, WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were significantly higher among diabetic in both sexes (P = 0.001). Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60). In contrast, among women, WHtR (AUC = 0.69) and WC (AUC = 0.68) yielded slightly better predictive than BMI (AUC = 0.67). The optimal cut-off values obtained for BMI and WHtR were similar between two sexes (BMI = 24.95 kg/m(2) for men and BMI = 25.2 kg/m(2) for women, WHtR = 0.51 for both sexes) whereas the optimal cut-off value for WC was higher in men than women (98.5 cm men vs. 89.5 cm women). Overall WC and WHtR exhibited a slightly better discriminate performance than BMI for diabetes in both sexes, particularly in women.
Genetic Susceptibility, Change in Physical Activity, and Long-term Weight Gain.
Wang, Tiange; Huang, Tao; Heianza, Yoriko; Sun, Dianjianyi; Zheng, Yan; Ma, Wenjie; Jensen, Majken K; Kang, Jae H; Wiggs, Janey L; Pasquale, Louis R; Rimm, Eric B; Manson, JoAnn E; Hu, Frank B; Willett, Walter C; Qi, Lu
2017-10-01
Whether change in physical activity over time modifies the genetic susceptibility to long-term weight gain is unknown. We calculated a BMI-genetic risk score (GRS) based on 77 BMI-associated single nucleotide polymorphisms (SNPs) and a body fat percentage (BF%)-GRS based on 12 BF%-associated SNPs in 9,390 women from the Nurses' Health Study (NHS) and 5,291 men from the Health Professionals Follow-Up Study (HPFS). We analyzed the interactions between each GRS and change in physical activity on BMI/body weight change within five 4-year intervals from 1986 to 2006 using multivariable generalized linear models with repeated-measures analyses. Both the BMI-GRS and the BF%-GRS were associated with long-term increases in BMI/weight, and change in physical activity consistently interacted with the BF%-GRS on BMI change in the NHS ( P for interaction = 0.025) and HPFS ( P for interaction = 0.001). In the combined cohorts, 4-year BMI change per 10-risk allele increment was -0.02 kg/m 2 among participants with greatest increase in physical activity and 0.24 kg/m 2 among those with greatest decrease in physical activity ( P for interaction < 0.001), corresponding to 0.01 kg versus 0.63 kg weight changes every 4 years ( P for interaction = 0.001). Similar but marginal interactions were observed for the BMI-GRS ( P for interaction = 0.045). Our data indicate that the genetic susceptibility to weight gain may be diminished by increasing physical activity. © 2017 by the American Diabetes Association.
Perceptions of neighborhood park quality: associations with physical activity and body mass index.
Bai, Hua; Wilhelm Stanis, Sonja A; Kaczynski, Andrew T; Besenyi, Gina M
2013-02-01
Parks are important resources for physical activity (PA), yet few studies have examined how perceptions of park characteristics relate to PA and health. This study investigated associations between perceptions of neighborhood park quality and overall moderate-to-vigorous PA (MVPA), park-based PA, and body mass index (BMI). Data were collected via questionnaire from 893 households in Kansas City, Missouri. The newly developed neighborhood park quality scale demonstrated good test-retest and internal reliability. Residents' perceptions of neighborhood park quality were related to PA and health outcomes. Perceiving parks as a benefit was positively related to overall MVPA and park-based PA and negatively related to BMI. Perceptions of well-used parks were positively related to BMI, while perceived cleanliness was negatively related to park-based PA. Better measuring and understanding how perceptions of local parks are associated with PA and health can improve appreciation of how parks facilitate active living.
Is BMI a valid measure of obesity in postmenopausal women?
Banack, Hailey R; Wactawski-Wende, Jean; Hovey, Kathleen M; Stokes, Andrew
2018-03-01
Body mass index (BMI) is a widely used indicator of obesity status in clinical settings and population health research. However, there are concerns about the validity of BMI as a measure of obesity in postmenopausal women. Unlike BMI, which is an indirect measure of obesity and does not distinguish lean from fat mass, dual-energy x-ray absorptiometry (DXA) provides a direct measure of body fat and is considered a gold standard of adiposity measurement. The goal of this study is to examine the validity of using BMI to identify obesity in postmenopausal women relative to total body fat percent measured by DXA scan. Data from 1,329 postmenopausal women participating in the Buffalo OsteoPerio Study were used in this analysis. At baseline, women ranged in age from 53 to 85 years. Obesity was defined as BMI ≥ 30 kg/m and body fat percent (BF%) greater than 35%, 38%, or 40%. We calculated sensitivity, specificity, positive predictive value, and negative predictive value to evaluate the validity of BMI-defined obesity relative BF%. We further explored the validity of BMI relative to BF% using graphical tools, such as scatterplots and receiver-operating characteristic curves. Youden's J index was used to determine the empirical optimal BMI cut-point for each level of BF% defined obesity. The sensitivity of BMI-defined obesity was 32.4% for 35% body fat, 44.6% for 38% body fat, and 55.2% for 40% body fat. Corresponding specificity values were 99.3%, 97.1%, and 94.6%, respectively. The empirical optimal BMI cut-point to define obesity is 24.9 kg/m for 35% BF, 26.49 kg/m for 38% BF, and 27.05 kg/m for 40% BF according to the Youden's index. Results demonstrate that a BMI cut-point of 30 kg/m does not appear to be an appropriate indicator of true obesity status in postmenopausal women. Empirical estimates of the validity of BMI from this study may be used by other investigators to account for BMI-related misclassification in older women.
Norden-Krichmar, Trina M.; Gizer, Ian R.; Libiger, Ondrej; Wilhelmsen, Kirk C.; Ehlers, Cindy L.; Schork, Nicholas J.
2014-01-01
Objectives Body mass index (BMI) is a well-known measure of obesity with a multitude of genetic and non-genetic determinants. Identifying the underlying factors associated with BMI is difficult because of its multifactorial etiology that varies as a function of geoethnic background and socioeconomic setting. Thus, we pursued a study exploring the influence of the degree of Native American admixture on BMI (as well as weight and height individually) in a community sample of Native Americans (n=846) while accommodating a variety of socioeconomic and cultural factors. Methods Participants’ degree of Native American (NA) ancestry was estimated using a genome-wide panel of markers. The participants also completed an extensive survey of cultural and social identity measures: the Indian Culture Scale (ICS) and the Orthogonal Cultural Identification Scale (OCIS). Multiple linear regression was used to examine the relation between these measures and BMI. Results Our results suggest that BMI is correlated positively with the proportion of NA ancestry. Age was also significantly associated with BMI, while gender and socioeconomic measures (education and income) were not. For the two cultural identity measures, the ICS showed a positive correlation with BMI, while OCIS was not associated with BMI. Conclusions Taken together, these results suggest that genetic and cultural environmental factors, rather than socioeconomic factors, account for a substantial proportion of variation in BMI in this population. Further, significant correlations between degree of NA ancestry and BMI suggest that admixture mapping may be appropriate to identify loci associated with BMI in this population. PMID:24757035
Lower cognitive functioning as a predictor of weight gain in bipolar disorder: a 12-month study.
Bond, D J; Torres, I J; Lee, S S; Kozicky, J-M; Silveira, L E; Dhanoa, T; Lam, R W; Yatham, L N
2017-03-01
In cross-sectional studies, elevated body mass index (BMI) is associated with cognitive impairment in bipolar disorder (BD). We investigated the direction of this association by prospectively examining changes in BMI and cognition. We measured BMI and performance in six cognitive domains over 12 months in 80 adolescent and young adult BD patients and 46 healthy comparison subjects (HS). Ninety-three percent of patients received pharmacotherapy and 84% were euthymic. We used repeated-measures ancova and longitudinal mixed models to investigate whether (i) higher BMI and increasing BMI over time predicted lower subsequent cognitive functioning, and (ii) lower cognitive functioning and changes in cognition predicted increasing BMI. Neither baseline BMI nor BMI change predicted lower cognitive functioning. Lower baseline scores in attention, verbal memory, working memory, and a composite measure of global cognition predicted increasing BMI in patients and HS. In patients, lower cognitive functioning remained associated with increasing BMI when clinical and treatment variables were adjusted for. Improvement in working memory predicted a smaller subsequent BMI increase in patients. Lower cognitive functioning in specific domains predicts increasing BMI in patients with BD and healthy young adults. Targeting cognition may be important for minimizing weight gain in BD. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
[Body mass index charts of Algerian children and adolescents (6-18 years)].
Bahchachi, N; Dahel-Mekhancha, C-C; Rolland-Cachera, M-F; Roelants, M; Hauspie, R; Nezzal, L
2017-12-01
The body mass index (BMI) is widely accepted as a measure of overweight and obesity in children. There are no BMI reference charts for Algerian children and adolescents. The purpose of this study was to construct BMI percentile curves appropriate for children aged 6-18 years in Algeria. The weight and height of 7772 (54.9% girls) healthy schoolchildren from Constantine (eastern Algeria) were measured in 2008/2009. Weight and height for age curves based on the same sample were published previously. The BMI for age percentile curves were estimated in girls and boys separately using the LMS smoothing method. In both sexes, the median BMI increased with age. Girls had lower BMI values than boys before the age of 10 years but they were higher after this age until 18 years of age. Within the study population, the prevalence of overweight (including obesity) and obesity in girls and boys together was 13.7% and 3.0%, respectively, according to the International Obesity Task Force (IOTF) and 16.9% and 4.9% according to the World Health Organization (WHO) (2007). The median BMI curves of Algerian girls and boys were generally lower than those observed in other Arab countries. Compared with other references, the median BMI values of girls were lower than those of a Belgian Flemish population and WHO 2007 until 14 years of age and higher than the French reference between 7 and 18 years of age. The BMI values of Algerian boys were close to the Belgian (Flemish population), French and WHO 2007 references between 6 and 9 years of age and generally lower thereafter. These BMI curves are complementary to the height and weight charts published previously for the assessment of growth in children and adolescents. They were developed according to international guidelines and could serve as a national reference. They could be used as a complement to the 0- to 5-year-old WHO 2006 standards. Copyright © 2017 Elsevier Masson SAS. All rights reserved.
Duncan, Michael J.; Vale, Susana; Santos, Maria Paula; Ribeiro, José Carlos; Mota, Jorge
2012-01-01
The aim of this study was to examine any differences in cardiovascular disease (CVD) risk in Portuguese children split by parental educational level. A cross-sectional school-based study was conducted in 2011 on 359 Portuguese children (202 girls and 157 boys) aged 10 to 17 years (mean age ± SD = 13.9 ± 1.98 years). Height and body mass were assessed to determine body mass index (BMI). Parental education level (PEL) was used as a surrogate for socioeconomic status (SES). Capillary blood sampling was used to determine: Total Cholesterol (TC), Triglycerides (TG), Fasting Glucos (GLUC), High and Low Density Lipoprotein (HDL/LDL). These measurements were combined with measures of systolic blood pressure and cardiorespiratory fitness as z-scores. CVD risk was constructed by summing the z-scores. Analysis of covariance, controlling for BMI, indicated that CVD risk was significantly different across PEL groups (p = 0.01), with CVD risk score being significantly lower in low (p = 0.04) and middle (p = 0.008) PEL groups, compared to high PEL. Moreover, the covariate, BMI was also significant (p = 0.0001, β = 0.023), evidencing a significant positive association between BMI and CVD risk, with higher BMI associated with greater CVD risk. In Portuguese children, significantly greater CVD risk was found for children of high PEL, while higher BMI was associated with greater CVD risk. PMID:23330223
2012-01-01
Background Weight problems that arise in the first years of life tend to persist. Behavioral research in this period can provide information on the modifiable etiology of unhealthy weight. The present study aimed to replicate findings from previous small-scale studies by examining whether different aspects of preschooler’s eating behavior and parental feeding practices are associated with body mass index (BMI) and weight status -including underweight, overweight and obesity- in a population sample of preschool children. Methods Cross-sectional data on the Child Eating Behaviour Questionnaire, Child Feeding Questionnaire and objectively measured BMI was available for 4987 four-year-olds participating in a population-based cohort in the Netherlands. Results Thirteen percent of the preschoolers had underweight, 8% overweight, and 2% obesity. Higher levels of children’s Food Responsiveness, Enjoyment of Food and parental Restriction were associated with a higher mean BMI independent of measured confounders. Emotional Undereating, Satiety Responsiveness and Fussiness of children as well as parents’ Pressure to Eat were negatively related with children’s BMI. Similar trends were found with BMI categorized into underweight, normal weight, overweight and obesity. Part of the association between children’s eating behaviors and BMI was accounted for by parental feeding practices (changes in effect estimates: 20-43%), while children’s eating behaviors in turn explained part of the relation between parental feeding and child BMI (changes in effect estimates: 33-47%). Conclusions This study provides important information by showing how young children’s eating behaviors and parental feeding patterns differ between children with normal weight, underweight and overweight. The high prevalence of under- and overweight among preschoolers suggest prevention interventions targeting unhealthy weights should start early in life. Although longitudinal studies are necessary to ascertain causal directions, efforts to prevent or treat unhealthy child weight might benefit from a focus on changing the behaviors of both children and their parents. PMID:23110748
Waist circumference, body mass index, and employment outcomes.
Kinge, Jonas Minet
2017-07-01
Body mass index (BMI) is an imperfect measure of body fat. Recent studies provide evidence in favor of replacing BMI with waist circumference (WC). Hence, I investigated whether or not the association between fat mass and employment status vary by anthropometric measures. I used 15 rounds of the Health Survey for England (1998-2013), which has measures of employment status in addition to measured height, weight, and WC. WC and BMI were entered as continuous variables and obesity as binary variables defined using both WC and BMI. I used multivariate models controlling for a set of covariates. The association of WC with employment was of greater magnitude than the association between BMI and employment. I reran the analysis using conventional instrumental variables methods. The IV models showed significant impacts of obesity on employment; however, they were not more pronounced when WC was used to measure obesity, compared to BMI. This means that, in the IV models, the impact of fat mass on employment did not depend on the measure of fat mass.
Datta Banik, Sudip; Dickinson, Federico
2015-01-01
Waist circumference (WC) as an index of central obesity is related to body mass index (BMI) and percent body fat (PBF). Waist circumference data were analyzed to identify a WC cut-off for adult women with respect to BMI-based obesity (≥ 30 kg/m²) and PBF. The sample was 138 women aged 22 to 41 years with Maya ancestry (based on surnames) in Merida, Yucatan, measured during 2011 - 2013. Anthropometric parameters included height, body weight (BW), and BMI. The PBF was estimated by bioelectrical impedance. Estimated cut-offs per centimeter WC (80 - 99 cm) were predicted by BMI for obesity (≥ 30 kg m⁻²; binomial: Yes = 1, No = 0) and PBF (continuous variable) using binary logistic regression analyses. Mean age was 32 years, mean BMI was 29 kg m(-2) and mean WC was 89 cm. The sample exhibited high PBF (44 %), and high rates of overweight (44%) and obesity (40%). The threshold WC (≥ 93 cm) had high sensitivity (80%), specificity (82%), Youden Index value (0.62), and correct classification rate (82%). The area under the receiver operating characteristic curve was 88 %. The WC ≥ 93 cm cut-off had corresponding values for mean BMI (34 kg m⁻²) and PBF (47%). The optimal WC cut-off at 93 cm significantly identified central obesity for BMI ≥ 30 kg m⁻² and PBF for this sample.
Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR).
Wiltink, Jörg; Michal, Matthias; Wild, Philipp S; Zwiener, Isabella; Blettner, Maria; Münzel, Thomas; Schulz, Andreas; Kirschner, Yvonne; Beutel, Manfred E
2013-09-12
Growing evidence suggests that abdominal obesity is a more important risk factor for the prognosis of cardiovascular and metabolic diseases than BMI. Somatic-affective symptoms of depression have also been linked to cardiovascular risk. The relationship between obesity and depression, however, has remained contradictory. Our aim was therefore to relate body mass index (BMI) and different measures for abdominal obesity (waist circumference, WC, waist-to-hip ratio, WHR, waist-to-height ratio, WHtR) to somatic vs. cognitive-affective symptoms of depression. In a cross-sectional population based study, data on the first N = 5000 participants enrolled in the Gutenberg Health Study (GHS) are reported. To analyze the relationship between depression and obesity, we computed linear regression models with the anthropometric measure (BMI, WC, WHR, WHtR) as the dependent variable and life style factors, cardiovascular risk factors and psychotropic medications as potential confounders of obesity/depression. We found that only the somatic, but not the cognitive-affective symptoms of depression are consistently positively associated with anthropometric measures of obesity. We could demonstrate that the somatic-affective symptoms of depression rather than the cognitive-affective symptoms are strongly related to anthropometric measures. This is also true for younger obese starting at the age of 35 years. Our results are in line with previous studies indicating that visceral adipose tissue plays a key role in the relationship between obesity, depression and cardiovascular disease.
Vogeltanz-Holm, Nancy; Holm, Jeffrey
2018-04-01
Childhood obesity is a significant but largely modifiable health risk, disproportionately affecting socioeconomically disadvantaged, racial/ethnic minority, and rural children. Elementary school-aged children typically experience the greatest increases in excess weight gain and therefore are important targets for reducing adolescent and adult obesity while improving children's health. Our study evaluated outcomes of a 3-year elementary school-based program for reducing obesity in American Indian and White students attending eight rural schools in the U.S. upper Midwest. Researchers measured body mass indexes (BMI) and other health indicators and behaviors of 308 beginning third-grade students and then again at the end of students' third, fourth, and fifth grades. The primary focus of this study is a mixed multilevel longitudinal model testing changes in age- and gender-adjusted BMI z scores ( zBMI). There was a significant decrease in zBMI across the 3-year study period. Ethnicity analyses showed that White students had overall decreases in zBMI whereas American Indian students' zBMIs remained stable across the program. Comparisons with children from an age- and cohort-matched national sample provided support for the effectiveness of the school program in reducing BMI and obesity during the study period. An elementary school-based health program that addresses a range of students' obesity-related health behaviors, the school health environment, and that involves educators and parents is an effective intervention for reducing or stabilizing BMI in rural White and American Indian students. School health programs for students living in rural communities may be especially effective due to greater school and community cohesiveness, and valuing of the school's primary role in improving community health.
Wireless brain-machine interface using EEG and EOG: brain wave classification and robot control
NASA Astrophysics Data System (ADS)
Oh, Sechang; Kumar, Prashanth S.; Kwon, Hyeokjun; Varadan, Vijay K.
2012-04-01
A brain-machine interface (BMI) links a user's brain activity directly to an external device. It enables a person to control devices using only thought. Hence, it has gained significant interest in the design of assistive devices and systems for people with disabilities. In addition, BMI has also been proposed to replace humans with robots in the performance of dangerous tasks like explosives handling/diffusing, hazardous materials handling, fire fighting etc. There are mainly two types of BMI based on the measurement method of brain activity; invasive and non-invasive. Invasive BMI can provide pristine signals but it is expensive and surgery may lead to undesirable side effects. Recent advances in non-invasive BMI have opened the possibility of generating robust control signals from noisy brain activity signals like EEG and EOG. A practical implementation of a non-invasive BMI such as robot control requires: acquisition of brain signals with a robust wearable unit, noise filtering and signal processing, identification and extraction of relevant brain wave features and finally, an algorithm to determine control signals based on the wave features. In this work, we developed a wireless brain-machine interface with a small platform and established a BMI that can be used to control the movement of a robot by using the extracted features of the EEG and EOG signals. The system records and classifies EEG as alpha, beta, delta, and theta waves. The classified brain waves are then used to define the level of attention. The acceleration and deceleration or stopping of the robot is controlled based on the attention level of the wearer. In addition, the left and right movements of eye ball control the direction of the robot.
Watson, Paula M; Dugdill, Lindsey; Pickering, Katie; Owen, Stephanie; Hargreaves, Jackie; Staniford, Leanne J; Murphy, Rebecca C; Knowles, Zoe; Cable, N Timothy
2015-01-01
Objectives To evaluate the impact of the GOALS (Getting Our Active Lifestyles Started) family-based childhood obesity treatment intervention during the first 3 years of implementation. Design Single-group repeated measures with qualitative questionnaires. Setting Community venues in a socioeconomically deprived, urban location in the North-West of England. Participants 70 overweight or obese children (mean age 10.5 years, 46% boys) and their parents/carers who completed GOALS between September 2006 and March 2009. Interventions GOALS was a childhood obesity treatment intervention that drew on social cognitive theory to promote whole family lifestyle change. Sessions covered physical activity (PA), diet and behaviour change over 18 2 h weekly group sessions (lasting approximately 6 months). A Template for Intervention Description and Replication (TIDieR) checklist of intervention components is provided. Primary and secondary outcome measures The primary outcome measure was child body mass index (BMI) z-score, collected at baseline, post-intervention and 12 months. Secondary outcome measures were child self-perceptions, parent/carer BMI and qualitative changes in family diet and PA (parent/carer questionnaire). Results Child BMI z-score reduced by 0.07 from baseline to post-intervention (p<0.001) and was maintained at 12 months (p<0.05). There was no change in parent/carer BMI or child self-perceptions, other than an increase in perceived social acceptance from baseline to post-intervention (p<0.05). Parents/carers reported positive changes to family PA and dietary behaviours after completing GOALS. Conclusions GOALS completion was associated with small improvements in child BMI z-score and improved family PA and dietary behaviours. Several intervention modifications were necessary during the implementation period and it is suggested childhood obesity treatment interventions need time to embed before a definitive evaluation is conducted. Researchers are urged to use the TIDieR checklist to ensure transparent reporting of interventions and facilitate the translation of evidence to practice. PMID:25652799
Khalid, Umair; Ather, Sameer; Bavishi, Chirag; Chan, Wenyaw; Loehr, Laura R.; Wruck, Lisa M.; Rosamond, Wayne D.; Chang, Patricia P.; Coresh, Joe; Virani, Salim S.; Nambi, Vijay; Bozkurt, Biykem; Ballantyne, Christie M.; Deswal, Anita
2014-01-01
BACKGROUND Although obesity is an independent risk factor for heart failure (HF), once HF is established, obesity is associated with lower mortality. It is unclear if the weight loss due to advanced HF leads to this paradoxical finding. OBJECTIVES We sought to evaluate the prognostic impact of pre-morbid obesity in patients with HF. METHODS In the Atherosclerosis Risk in Communities (ARIC) study, we used body mass index (BMI) measured ≥6 months before incident HF (pre-morbid BMI) to evaluate the association of overweight (BMI 25 to <30 kg/m2) and obesity (≥30 kg/m2) compared to normal BMI (18.5 to <25 kg/m2) with mortality after incident HF. RESULTS Among 1,487 patients with incident HF, 35% were overweight and 47% were obese by pre-morbid BMI measured 4.3 ± 3.1 years before HF diagnosis. Over 10-year follow-up after incident HF, 43% of patients died. After adjustment for demographics and comorbidities, being premorbidly overweight (hazard ratio [HR]: 0.72; 95% confidence interval [CI[]: 0.58 to 0.90; p = 0.004) or obese (HR: 0.70; 95% CI: 0.56 to 0.87; p = 0.001) had a protective association with survival compared to normal BMI. The protective effect of overweight and obesity was consistent across subgroups based on a history of cancer, smoking, and diabetes. CONCLUSIONS Our results, for the first time, demonstrate that individuals who were overweight or obese before HF development have lower mortality once they have HF compared with normal BMI individuals. Thus, weight loss due to advanced HF may not completely explain the protective effect of higher BMI in HF patients. PMID:25541126
Clarke, Philippa; O'Malley, Patrick M; Johnston, Lloyd D; Schulenberg, John E
2009-04-01
The prevalence of obesity and overweight is rapidly increasing in industrialized countries, with long-term health and social consequences. There is also a strong social patterning of obesity and overweight, with a higher prevalence among women, racial/ethnic minorities and those from a lower socio-economic position (SEP). Most of the existing work in this area, however, is based on cross-sectional data or single cohort studies. No national studies to date have examined how social disparities in obesity and overweight differ by age and historical period using longitudinal data with repeated measures. We used panel data from the nationally representative Monitoring the Future Study (1986-2004) to examine social disparities in trajectories of body mass index (BMI) over adulthood (age 18-45). Self-reported height and weight were collected in this annual US survey of high-school seniors, followed biennially since 1976. Using growth curve models, we analysed BMI trajectories over adulthood by gender, race/ethnicity and lifetime SEP (measured by parents' education and respondent's education). BMI trajectories exhibit a curvilinear rate of change from age 18 to 45, but there was a strong period effect, such that weight gain was more rapid for more recent cohorts. As a result, successive cohorts become overweight (BMI>25) at increasingly earlier points in the life course. BMI scores were also consistently higher for women, racial/ethnic minority groups and those from a lower SEP. However, BMI scores for socially advantaged groups in recent cohorts were actually higher than those for their socially disadvantaged counterparts who were born 10 years earlier. Results highlight the importance of social status and socio-economic resources for maintaining optimal weight. Yet, even those in advantaged social positions have experienced an increase in BMI in recent years.
Heo, M; Wylie-Rosett, J; Pietrobelli, A; Kabat, G C; Rohan, T E; Faith, M S
2014-01-01
Four body mass index (BMI) metrics--BMI, BMI z-score, BMI percentile and BMI%--are commonly used as proxy measures for children's adiposity. We sought to determine a BMI metric that is most strongly associated with measured percentage of body fat (%BF) in the US pediatric population stratified by sex, age and race/ethnicity, and to determine cutoffs that maximize the association for each BMI metric. SUBJECTS, DESIGN AND METHODS: %BF was measured by dual-energy X-ray absorptiometry among N=6120 US boys and girls aged 8.0-17.9 years old from the National Health and Nutrition Examination Survey 1999-2004. We fit piecewise linear regression models with cutoffs to %BF data using each BMI metric as the predictor stratified by sex, race/ethnicity and age. The slopes were modeled differently before and after the cutoffs which were determined on the basis of grid searches. BMI z-score was in general most strongly associated with %BF for both boys and girls. The associations of the four BMI metrics were lowest for boys aged 12-13.9 years and girls aged 16-17.9 years, and strongest for Mexican-American boys and for non-Hispanic Black girls. Overall, the associations were stronger for girls than for boys. In boys, BMI had the lowest association with %BF (R(2)=0.39) for all ages combined. The fold changes in slopes before and after cutoffs were greatest in general for BMI percentiles regardless of age, sex and race/ethnicity. BMI z-score cutoffs were 0.4 for both boys and girls for all ages combined. Except for BMI, the slopes after the cutoffs were in general greater than those before. All BMI metrics were strongly associated with %BF when stratified by age and race/ethnicity except that BMI was the least associated with %BF in boys for all ages combined. Overall, BMI z-score was superior for evaluation of %BF, and its cutoff of 0.4 can also serve as a threshold for careful monitoring of weight status.
Ma, Huiyan; Ursin, Giske; Xu, Xinxin; Lee, Eunjung; Togawa, Kayo; Malone, Kathleen E; Marchbanks, Polly A; McDonald, Jill A; Simon, Michael S; Folger, Suzanne G; Lu, Yani; Sullivan-Halley, Jane; Deapen, Dennis M; Press, Michael F; Bernstein, Leslie
2018-01-22
Although it has been well-documented that obesity is associated with decreased risk of premenopausal breast cancer and increased risk of postmenopausal breast cancer, it is unclear whether these associations differ among breast cancer subtypes defined by the tumor protein expression status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). We evaluated the associations of body mass index (BMI) at age 18 years and recent BMI in relation to risk of breast cancer overall and ER/PR/HER2-defined subtypes, in 6320 women (3934 case-patient participants, 2386 control participants) aged 35-64 years, who participated in one of three population-based case-control studies. We estimated multivariable-adjusted odd ratios (ORs) and corresponding 95% confidence intervals (CIs) using polychotomous unconditional logistic regression methods for case-control comparisons in premenopausal women and postmenopausal women. BMI at age 18 years was inversely associated with risk of breast cancer, particularly among premenopausal women (≥ 25 vs. < 20 kg/m 2 , OR = 0.72, 95% CI = 0.53-0.96; per 5 kg/m 2 increase, OR = 0.83, 95% CI = 0.73-0.95). This inverse association did not differ across ER/PR/HER2-defined subtypes or by race (white women, African-American women). Recent BMI was not associated with risk of premenopausal breast cancer after adjustment for BMI at age 18 years; nevertheless, the analysis for the joint effects of BMI at age 18 years and recent BMI showed that premenopausal women in the highest categories of the two BMI measures (≥ 25 kg/m 2 at age 18 years and ≥ 30 kg/m 2 for recent BMI) had 46% lower risk of breast cancer than premenopausal women in the lowest categories of the two BMI measures (< 20 kg/m 2 at age 18 years and < 25 kg/m 2 for recent BMI; OR = 0.54, 95% CI = 0.38-0.78). Neither measure of BMI was statistically significantly associated with risk of postmenopausal breast cancer. Our findings indicate that high BMI near the end of adolescence decreases risk of all ER/PR/HER2-defined subtypes of premenopausal breast cancer and also suggest that this benefit could be maximized among premenopausal women who consistently have high BMI during their premenopausal years.
Inverted BMI rather than BMI is a better proxy for percentage of body fat.
Nevill, Alan M; Stavropoulos-Kalinoglou, Antonios; Metsios, Giorgos S; Koutedakis, Yiannis; Holder, Roger L; Kitas, George D; Mohammed, Mohammed A
2011-11-01
Percentage of body fat (BF%) is a known risk factor for a range of healthcare problems but is difficult to measure. An easy to measure proxy is the weight/height(2) ratio known as the Body Mass Index (BMI kg/m(2)). However, BMI does have some inherent weaknesses which are readily overcome by its inverse iBMI (1000/BMI, cm(2)/kg). The association between BF% and both BMI and iBMI together with their distributional properties was explored using previously published data from healthy (n = 2993) and diseased populations (n = 298). BMI is skewed whereas iBMI is symmetrical and so is better approximated by the normal distribution. The relationship between BF% and BMI is curved, but that of iBMI and BF% is linear and thus iBMI explains more of the variation in BF% than BMI. For example a unit increase in BMI for a group of thin women represents an increase of 2.3% in BF, but for obese women this represents only a 0.3% increase in BF-a 7-fold difference. The curvature stems from body mass being the numerator in BMI but the denominator in BF% resulting in a form of hyperbolic curve which is not the case with iBMI. Furthermore, BMI and iBMI have different relationships (interaction) with BF% for men and women, but these differences are less marked with iBMI. Overall, these characteristics of iBMI favour its use over BMI, especially in statistical models.
Miller, Michelle; Wong, Wing Ki; Wu, Jing; Cavenett, Sally; Daniels, Lynne; Crotty, Maria
2008-10-01
To evaluate the utility of body mass index (BMI) and corrected-arm-muscle area (CAMA) as measures of nutritional health for lower-limb amputees attending prosthetics clinics. Cross-sectional study. Prosthetics clinic in Australia. Unilateral lower-extremity amputees (N=58; age range, 21-91y; 37 transtibial, 21 transfemoral) attending a regional prosthetics clinic between May and November 2003. Not applicable. Weight (without prosthesis), corrected and uncorrected for the amputated limb was used with height estimated from knee height to calculate corrected BMI (cBMI) and uncorrected BMI (uBMI). CAMA was calculated using the mean of triplicate mid-upper-arm circumference (MUAC) and triceps skinfold thickness (TST) measurements. The Mini Nutritional Assessment (MNA) and Assessment of Quality of Life were administered according to recommended protocols. The Pearson correlation was used to determine the strength and significance of associations between variables, and bivariate regression analyses were performed to determine whether an association existed between the nutritional variables (BMI, CAMA, MNA) and quality of life (QOL). There were no statistically significant differences in the measures of nutritional health according to site (transtibial, transfemoral) of amputation. MUAC, TST, and CAMA all showed moderate to high positive correlations (r range, .541-.782) with both cBMI and uBMI. The strength of the relationship between the MNA and cBMI/uBMI was weaker (r=.383, r=.380, respectively) but remained positive and statistically significant (P=.003). QOL was not associated with cBMI or uBMI but was related to CAMA (beta=-.132; P=.030) and MNA (beta=-.561; P=.017). For persons with unilateral lower-extremity amputation, measurement of upper-arm anthropometry may be a more useful indicator of nutritional health and its consequences than BMI.
Association of obesity with healthcare utilization and costs in a Medicare population.
Suehs, Brandon T; Kamble, Pravin; Huang, Joanna; Hammer, Mette; Bouchard, Jonathan; Costantino, Mary E; Renda, Andrew
2017-12-01
To examine the association of obesity with healthcare resource utilization and costs in a Medicare population. This study was a retrospective cohort study using Humana Medicare Advantage (MA) claims data. Body mass index (BMI) was assessed using ICD-9-CM status codes (V85 hierarchy) that have been validated in the data source to classify patients into BMI categories: normal (N), overweight (Ow), obese class I (ObI), obese class II (ObII), and obese class III (ObIII). Healthcare resource utilization (HRU) and costs were determined based on claims data. Descriptive statistics were used to examine baseline characteristics and HRU across BMI classes. Multivariable analysis was used to examine the association between BMI class and outcome measures. Among the 172,866 patients aged ≥65 years that were identified, BMI distribution was: N, 21%; Ow 37%; ObI, 24%, ObII, 10%; and ObIII, 9%. Inpatient, emergency department and outpatient utilization increased with greater BMI level, and greater BMI level was associated with higher total healthcare, medical and pharmacy costs. Greater prevalence of several cardiometabolic conditions, total medication use, and use of specific medication classes was observed with increasing BMI class. Greater BMI was associated with greater HRU and costs and observed increase in prevalence of cardiometabolic conditions. These results reflect an urgent need to address the epidemic of obesity and the resulting excessive clinical and economic burden on the healthcare system.
Does body mass index misclassify physically active young men.
Grier, Tyson; Canham-Chervak, Michelle; Sharp, Marilyn; Jones, Bruce H
2015-01-01
The purpose of this analysis was to determine the accuracy of age and gender adjusted BMI as a measure of body fat (BF) in U.S. Army Soldiers. BMI was calculated through measured height and weight (kg/m(2)) and body composition was determined by dual energy X-ray absorptiometry (DEXA). Linear regression was used to determine a BF prediction equation and examine the correlation between %BF and BMI. The sensitivity and specificity of BMI compared to %BF as measured by DEXA was calculated. Soldiers (n = 110) were on average 23 years old, with a BMI of 26.4, and approximately 18% BF. The correlation between BMI and %BF (R = 0.86) was strong (p < 0.01). A sensitivity of 77% and specificity of 100% were calculated when using Army age adjusted BMI thresholds. The overall accuracy in determining if a Soldier met Army BMI standards and were within the maximum allowable BF or exceeded BMI standards and were over the maximum allowable BF was 83%. Using adjusted BMI thresholds in populations where physical fitness and training are requirements of the job provides better accuracy in identifying those who are overweight or obese due to high BF.
Is School-Based Height and Weight Screening of Elementary Students Private and Reliable?
ERIC Educational Resources Information Center
Stoddard, Sarah A.; Kubik, Martha Y.; Skay, Carol
2008-01-01
The Institute of Medicine recommends school-based body mass index (BMI) screening as an obesity prevention strategy. While school nurses have provided height/weight screening for years, little has been published describing measurement reliability or process. This study evaluated the reliability of height/weight measures collected by school nurses…
Wickramasinghe, V P
2012-05-01
To assess the relationship between fat free mass (FFM), fat mass (FM), body mass index (BMI) and percentage fat mass (%FM) using Hattori chart in a group of Sri Lankan children. In this cross sectional descriptive study involving 5-15 y old children, data from 4 different school surveys were pooled together. Height and weight were measured and BMI calculated. Total body water (TBW) was assessed using a height and weight based equation. Thus FFM and FM were assessed based on 2 C body composition model. Fat mass index (FMI) and Fat free mass index (FFMI) were calculated and plotted on Hattori chart. 4278 individuals (1297 boys and 2981 girls) were studied. Individual values clearly showed that Sri Lankan children had a low FFMI and a high FMI. Individuals with similar BMI had their %FM distributed in a wide range. Even children categorized as wasted had high levels of %FM in their body. Mean FMI and FFMI for each age was plotted, and it showed that most of the weight gain is due to accumulation of fat in the body. This study shows that Sri Lankan children have a higher %FM from a younger age even when they are classified as wasted. As they grow older, the changes that occur in FM are more than FFM. This chart analysis clearly shows that BMI is not a good index to measure %FM in individuals of this population.
Beyond BMI: Conceptual Issues Related to Overweight and Obese Patients
Müller, Manfred James; Braun, Wiebke; Enderle, Janna; Bosy-Westphal, Anja
2016-01-01
BMI is widely used as a measure of weight status and disease risks; it defines overweight and obesity based on statistical criteria. BMI is a score; neither is it biologically sound nor does it reflect a suitable phenotype worthwhile to study. Because of its limited value, BMI cannot provide profound insight into obesity biology and its co-morbidity. Alternative assessments of weight status include detailed phenotyping by body composition analysis (BCA). However, predicting disease risks, fat mass, and fat-free mass as assessed by validated techniques (i.e., densitometry, dual energy X ray absorptiometry, and bioelectrical impedance analysis) does not exceed the value of BMI. Going beyond BMI and descriptive BCA, the concept of functional body composition (FBC) integrates body components into regulatory systems. FBC refers to the masses of body components, organs, and tissues as well as to their inter-relationships within the context of endocrine, metabolic and immune functions. FBC can be used to define specific phenotypes of obesity, e.g. the sarcopenic-obese patient. Well-characterized obesity phenotypes are a precondition for targeted research (e.g., on the genomics of obesity) and patient-centered care (e.g., adequate treatment of individual obese phenotypes such as the sarcopenic-obese patient). FBC contributes to a future definition of overweight and obesity based on physiological criteria rather than on body weight alone. PMID:27286962
Li, H; Yang, G; Xiang, Y-B; Zhang, X; Zheng, W; Gao, Y-T; Shu, X-O
2013-06-01
The objective was to evaluate the association of body size and fat distribution with the risk of colorectal cancer (CRC) in Chinese men and women. This was a population-based, prospective cohort study. The analysis included 134,255 Chinese adults enrolled in the Shanghai Women's Health Study and the Shanghai Men's Health Study, with an average follow-up of 11.0 and 5.5 years, respectively. Waist circumference (WC), body mass index (BMI) and waist-to-hip ratio (WHR) were measured by trained interviewers at baseline. Multivariable Cox models were used to calculate adjusted hazard ratios (HRs) for incident CRC. A total of 935 incident CRC cases were identified. Both measures of general adiposity (measured by BMI) and central adiposity (measured by WHR and WC) were significantly associated with an increased risk of colon cancer in men but not in women. Multivariable-adjusted HRs for colon cancer in men in the highest compared with the lowest quintiles were 2.15 (95% confidence interval (CI): 1.35-3.43; P for trend=0.0006) for BMI, 1.97 (95% CI: 1.19-3.24; P for trend=0.0004) for WHR and 2.00 (95% CI: 1.21-3.29; P for trend=0.0002) for WC. The BMI-associated risk was attenuated in analyses stratified by WHR, whereas the WHR-associated risk remained significant in the high BMI stratum (HR for comparison of extreme tertiles of WHR: 3.38, 95% CI: 1.47-7.75; P for trend =0.0002). None of these anthropometric measures were significantly associated with rectal cancer. Obesity, particularly central obesity, was associated with an increased risk of colon cancer in men.
Misperception of weight status and associated factors among undergraduate students.
Mogre, Victor; Aleyira, Samuel; Nyaba, Rauf
2015-01-01
We compared participants' self-perception of their weight with the World Health Organisation (WHO) definition for BMI categories among undergraduate university students undertaking health related academic programmes in Ghana. Also, we investigated factors associated to the underestimation of weight status in this sample. This cross-sectional study was conducted among a sample of 368 undergraduate students. Anthropometric measurements of weight and height were measured with appropriate tools and computed into Body Mass Index (BMI) categorised based on WHO classifications. Waist and hip circumferences were also measured appropriately. Participants' self-perception of weight status was assessed by the question: How do you perceive your weight? (a) Underweight, (b) normal weight, (c) overweight, and (d) obese. The BMI-measured weight status was compared to the self-perceived weight status by cross-tabulation, Kappa statistics of agreement and χ(2) for trend analysis. Factors associated with misperception of weight status was measured using univariate and multivariable analysis. Thirteen percent (n=48) of the participants were overweight/obesity (BMI) and 31.5% had central obesity. Overall, 20.6% of the participants misperceived their weight status in which 78.9% of them underestimated it. Among overweight/obese participants, 41.7% self-perceived themselves accurately. Whereas 10.6% of normal weight participants underestimated their weight status, over half (58.3%) of overweight/obese participants did so. Factors that were associated with underestimation of weight status were having overweight/obesity (BMI) and central obesity. Underestimation of weight status was frequent. Health professionals and related government agencies should develop intervention programmes to empower young people to have accurate weight status perception. Copyright © 2015 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
Schwartz, Robert P; Vitolins, Mara Z; Case, L Douglas; Armstrong, Sarah C; Perrin, Eliana M; Cialone, Josephine; Bell, Ronny A
2012-12-01
Many resources are available for adults, but there are few community-based programs for overweight and obese children. Community engagement may be instrumental in overcoming barriers physicians experience in managing childhood obesity. Our objective was to design and test the feasibility of a community-based (YMCA), family-centered, low-cost intervention for overweight and obese children. Children 6-11 years over the 85th BMI percentile for age and sex were recruited to YMCA sites in four North Carolina communities. The children had physical activity sessions three times weekly for 3 months (one activity session weekly was family night). The parents received a once-weekly nutrition education class conducted by a registered dietitian using the NC Eat Smart Move More curriculum (10 sessions). Changes in BMI were measured at 3, 6, and 12 months and diet and activity behaviors at 3 and 12 months after baseline. Significant reductions were observed in BMI percentile for age and BMI z-scores at 3, 6, and 12 months. Improvements occurred in dietary and physical activity behaviors, including drinking fewer sugar-sweetened beverages, spending more time in physically active behaviors, and spending less time in sedentary behaviors. The program was low-cost, and qualitative comments suggest the parents and children benefited from the experience. This low-cost YMCA-based intervention was associated with BMI reductions and positive nutritional and activity behavior changes, providing an additional strategy for addressing childhood obesity in community settings.
Pet dogs and child physical activity: the role of child-dog attachment.
Gadomski, A M; Scribani, M B; Krupa, N; Jenkins, P
2017-10-01
Dog ownership has been associated with increased physical activity in children which in turn may mitigate childhood obesity. To measure the association between child-dog attachment and child physical activity and screen time. Cross-sectional study including 370 children (ages 4-10) who had pet dogs in the home. Parents completed the DartScreen, a web-based screener, before a well-child visit. Screener domains included child body mass index (BMI), physical activity, screen time and dog-related questions. The Companion Animal Bonding Scale (CABS) was used to measure child attachment to the dog. Clinic nurses weighed and measured the children. Associations between CABS, BMI z-score, screen time and physical activity were estimated. CABS was strongly associated with time spent being active with the dog (F = 22.81, p < 0.0001), but not with BMI z-score or screen time. A higher level of child attachment to a pet dog is associated with increased child physical activity. © 2016 World Obesity Federation.
Annesi, James J; Walsh, Stephanie M; Greenwood, Brittney L; Mareno, Nicole; Unruh-Rewkowski, Jennifer L
2017-04-01
Childhood overweight and obesity is unacceptably high in industrialised nations. School-based interventions have largely been atheoretical and ineffective. This study aimed to test a new theory-based protocol for its effects on measures of fitness and body mass index (BMI), and its proposed psychosocial mediators, during elementary after-school (out-of-school hours) care. Nine- to 12-year-old participants of YMCA-based after-school care in the southeastern Unites States were randomised into either the experimental Youth Fit 4 Life (YF4L) treatment group (n = 86) or a typical care group (n = 55) for 45 min/day. YF4L is based on social cognitive theory, emphasising mastery over physical activities and the development of self-management/self-regulatory skills to support healthy behaviours. Physiological and psychosocial variables were assessed over a 9-month elementary school year. Of the overall sample, 28% were overweight or obese at baseline. YF4L was associated with significantly greater improvements in BMI, and measures of self-regulation, mood, self-efficacy, cardiovascular endurance and strength over both 3 and 9 months. Changes in self-regulation, mood and self-efficacy significantly mediated the treatment type-BMI relationship over both 3 months (R 2 = 0.12, P = 0.002) and 9 months (R 2 = 0.13, P = 0.001), with change in self-regulation being a significant independent mediator. Changes in BMI and self-regulation reciprocally reinforced one another. Gender was not a significant moderator of those relationships. The YF4L treatment mitigated rise in BMI in 9- to 12-year-old enrollees of after-school care. The treatment's basis in social cognitive theory was supported. Because of its positive effects and ability to utilise existing staff, large-scale application is warranted after sufficient replication. © 2017 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).
2010-01-01
Background Although the correlation coefficient between body mass index (BMI) and percent body fat (%BF) or waist circumference (WC) has been reported, studies conducted among population-based schoolchildren to date have been limited in Japan, where %BF and WC are not usually measured in annual health examinations at elementary schools or junior high schools. The aim of the present study was to investigate the relationship of BMI to %BF and WC and to examine the influence of gender and obesity on these relationships among Japanese schoolchildren. Methods Subjects included 3,750 schoolchildren from the fourth and seventh grade in Ina-town, Saitama Prefecture, Japan between 2004 and 2008. Information about subject's age, sex, height, weight, %BF, and WC was collected from annual physical examinations. %BF was measured with a bipedal biometrical impedance analysis device. Obesity was defined by the following two criteria: the obese definition of the Centers for Disease Control and Prevention, and the definition of obesity for Japanese children. Pearson's correlation coefficients between BMI and %BF or WC were calculated separately for sex. Results Among fourth graders, the correlation coefficients between BMI and %BF were 0.74 for boys and 0.97 for girls, whereas those between BMI and WC were 0.94 for boys and 0.90 for girls. Similar results were observed in the analysis of seventh graders. The correlation coefficient between BMI and %BF varied by physique (obese or non-obese), with weaker correlations among the obese regardless of the definition of obesity; most correlation coefficients among obese boys were less than 0.5, whereas most correlations among obese girls were more than 0.7. On the other hand, the correlation coefficients between BMI and WC were more than 0.8 among boys and almost all coefficients were more than 0.7 among girls, regardless of physique. Conclusions BMI was positively correlated with %BF and WC among Japanese schoolchildren. The correlations could be influenced by obesity as well as by gender. Accordingly, it is essential to consider gender and obesity when using BMI as a surrogate for %BF and WC for epidemiological use. PMID:20716379
Wang, Xiao-Ping; Zhu, Xiao-Mei; Zhu, Yin-Su; Liu, Wang-Yan; Yang, Xiao-Han; Huang, Wei-Wei; Xu, Yi; Tang, Li-Jun
2018-07-01
The present study included a total of 111 consecutive patients who had undergone coronary computed tomography (CT) angiography, using a first-generation dual-source CT with automatic tube potential selection and tube current modulation. Body weight (BW) and body mass index (BMI) were recorded prior to CT examinations. Image noise and attenuation of the proximal ascending aorta (AA) and descending aorta (DA) at the middle level of the left ventricle were measured. Correlations between BW, BMI and objective image quality were evaluated using linear regression. In addition, two subgroups based on BMI (BMI ≤25 and >25 kg/m 2 ) were analyzed. Subjective image quality, image noise, the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) were all compared between those. The image noise of the AA increased with the BW and BMI (BW: r=0.453, P<0.001; BMI: r=0.545, P<0.001). The CNR and SNR of the AA were inversely correlated with BW and BMI, respectively. The image noise of the DA and the CNR and SNR of the DA exhibited a similar association to those with the BW or BMI. The BMI >25 kg/m 2 group had a significant increase in image noise (33.1±6.9 vs. 27.8±4.0 HU, P<0.05) and a significant reduction in CNR and SNR, when compared with those in the BMI ≤25 kg/m 2 group (CNR: 18.9±4.3 vs. 16.1±3.7, P<0.05; SNR: 16.0±3.8 vs. 13.6±3.2, P<0.05). Patients with a BMI of ≤25 kg/m 2 had more coronary artery segments scored as excellent, compared with patients with a BMI of >25 kg/m 2 (P=0.02). In conclusion, this method is not able to achieve a consistent objective image quality across the entire patient population. The impact of BW and BMI on objective image quality was not completely eliminated. BMI-based adjustment of the tube potential may achieve a more consistent image quality compared to automatic tube potential selection, particularly in patients with a larger body habitus.
BMI, health behaviors, and quality of life in children and adolescents: a school-based study.
Chen, Gang; Ratcliffe, Julie; Olds, Tim; Magarey, Anthea; Jones, Michelle; Leslie, Eva
2014-04-01
To explore the relationship between weight status (BMI) and health-related quality of life in children and adolescents through application of the Child Health Utility 9D, a new generic preference-based instrument. Data were collected from primary and high school students in rural and metropolitan regions of South Australia. Consenting participants (2588 in grades 4-6 and 765 in grades 9-10) were weighed and measured and categorized as underweight, healthy weight, overweight, or obese according to International Obesity Taskforce BMI cutoff points (primary outcome). Participants also completed a questionnaire including the Child Health Utility 9D and standardized measures of physical activity, sedentary behavior, sleep patterns, and eating behavior (secondary outcomes). Descriptive and multivariate linear regression analyses were undertaken to calculate mean utility differences. In comparison with healthy-weight primary school students, adjusted mean utilities were lower for overweight (-0.016, P = .02) or obese (-0.039, P = .001) students. For high school students, the adjusted mean utilities were also lower for overweight and obese students but were nonsignificant (-0.018, P > .10). Physical activity, sedentary behavior, sleep patterns, and eating behavior were all found to be significantly associated with utilities. Irrespective of BMI, young people engaging in more physical activities or less sedentary behavior, and having healthier sleep patterns or eating behavior exhibited higher utilities. Associations between utilities and sleep patterns or eating behavior were stronger than the associations with BMI. Future economic evaluations for obesity interventions should more formally investigate the relationship between changes over time in weight status and health-related quality of life for children and adolescents.
Zhu, Shankuan; Wang, ZiMian; Shen, Wei; Heymsfield, Steven B; Heshka, Stanley
2003-08-01
Increasing attention has focused on the association between body fatness and related metabolic risk factors. The quantitative link between percentage body fat (%BF) and the risk of metabolic syndrome is unknown. The objectives were to determine the risk [odds ratios (ORs)] of metabolic syndrome based on %BF in black and white men and women in the United States and to provide corresponding ranges of %BF associated with a risk equivalent to body mass index (BMI; in kg/m(2)). The subjects were participants in the third National Health and Nutrition Examination Survey and were divided into those with and without the metabolic syndrome. OR equations were derived from logistic regression models for %BF and BMI, with the 25th percentile in the study population as the reference. Ranges were developed by associating %BF with the equivalent risk of metabolic syndrome based on established BMI cutoffs. Four sets (men, women, black, and white) of OR curves were generated for %BF and for BMI by using data from 8259 adults. The ORs for metabolic syndrome were lower in blacks than in whites at any given %BF or BMI. The developed cutoffs for %BF differed between men and women but showed only small race and age effects. A simplified set of sex-specific %BF ranges for the risk of metabolic syndrome were developed. The risk of metabolic syndrome can be established from measured %BF by using either the developed OR curves or %BF thresholds at traditional BMI cutoffs. This information should prove useful in both clinical and research settings.
Yepes, Maryam; Maurer, Jürgen; Stringhini, Silvia; Viswanathan, Barathi; Gedeon, Jude; Bovet, Pascal
2016-04-01
While obesity continues to rise globally, the associations between body size, gender, and socioeconomic status (SES) seem to vary in different populations, and little is known on the contribution of perceived ideal body size in the social disparity of obesity in African countries. We examined the gender and socioeconomic patterns of body mass index (BMI) and perceived ideal body size in the Seychelles, a middle-income small island state in the African region. We also assessed the potential role of perceived ideal body size as a mediator for the gender-specific association between SES and BMI. A population-based survey of 1,240 adults aged 25 to 64 years conducted in December 2013. Participants' BMI was calculated based on measured weight and height; ideal body size was assessed using a nine-silhouette instrument. Three SES indicators were considered: income, education, and occupation. BMI and perceived ideal body size were both higher among men of higher versus lower SES (p< .001) but lower among women of higher versus lower SES (p< .001), irrespective of the SES indicator used. Multivariate analysis showed a strong and direct association between perceived ideal body size and BMI in both men and women (p< .001) and was consistent with a potential mediating role of perceived ideal body size in the gender-specific associations between SES and BMI. Our study emphasizes the importance of gender and socioeconomic differences in BMI and ideal body size and suggests that public health interventions that promote perception of healthy weight could help mitigate SES-related disparities in BMI. © 2016 Society for Public Health Education.
Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity.
Cole, T J; Lobstein, T
2012-08-01
The international (International Obesity Task Force; IOTF) body mass index (BMI) cut-offs are widely used to assess the prevalence of child overweight, obesity and thinness. Based on data from six countries fitted by the LMS method, they link BMI values at 18 years (16, 17, 18.5, 25 and 30 kg m(-2)) to child centiles, which are averaged across the countries. Unlike other BMI references, e.g. the World Health Organization (WHO) standard, these cut-offs cannot be expressed as centiles (e.g. 85th). To address this, we averaged the previously unpublished L, M and S curves for the six countries, and used them to derive new cut-offs defined in terms of the centiles at 18 years corresponding to each BMI value. These new cut-offs were compared with the originals, and with the WHO standard and reference, by measuring their prevalence rates based on US and Chinese data. The new cut-offs were virtually identical to the originals, giving prevalence rates differing by < 0.2% on average. The discrepancies were smaller for overweight and obesity than for thinness. The international and WHO prevalences were systematically different before/after age 5. Defining the international cut-offs in terms of the underlying LMS curves has several benefits. New cut-offs are easy to derive (e.g. BMI 35 for morbid obesity), and they can be expressed as BMI centiles (e.g. boys obesity = 98.9th centile), allowing them to be compared with other BMI references. For WHO, median BMI is relatively low in early life and high at older ages, probably due to its method of construction. © 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of Obesity.
Lin, Shuai-Chun; Pasquale, Louis R; Singh, Kuldev; Lin, Shan C
2018-03-01
The purpose of this article is to investigate the association between body mass index (BMI) and open-angle glaucoma (OAG) in a sample of the South Korean population. The sample consisted of a cross-sectional, population-based sample of 10,978 participants, 40 years of age and older, enrolled in the 2008 to 2011 Korean National Health and Nutrition Examination Survey. All participants had measured intraocular pressure <22 mm Hg and open anterior chamber angles. OAG was defined using disc and visual field criteria established by the International Society for Geographical and Epidemiological Ophthalmology. Multivariable analyses were performed to determine the association between BMI and OAG. These analyses were also performed in a sex-stratified and age-stratified manner. After adjusting for potential confounding variables, lower BMI (<19 kg/m) was associated with greater risk of OAG compared with normal BMI (19 to 24.9 kg/m) [odds ratio (OR), 2.28; 95% confidence interval (CI), 1.22-4.26]. In sex-stratified analyses, low BMI remained adversely related to glaucoma in women (OR, 3.45; 95% CI, 1.42-8.38) but not in men (OR, 1.72; 95% CI, 0.71-4.20). In age-stratified analyses, lower BMI was adversely related to glaucoma among subjects 40- to 49-year old (OR, 5.16; 95% CI, 1.86-14.36) but differences in glaucoma prevalence were not statistically significant between those with low versus normal BMI in other age strata. Lower BMI was associated with increased odds of OAG in a sample of the South Korean population. Multivariate analysis revealed the association to be statistically significant in women and those in the youngest age stratum.
A chart to link child centiles of body mass index, weight and height.
Cole, T J
2002-12-01
Weight for height in children is often assessed by comparing the child's weight-for-age centile with their height-for-age centile. However, this assessment has not been validated statistically, and it differs from the body mass index (BMI) centile. To study indices of weight-for-height based on weight centile-for-age adjusted for height centile-for-age, and to see how they relate to the BMI centile-for-age. Cross-sectional survey of data for 40 536 boys and girls aged 0-18 y from the 1980 Nationwide Dutch Growth Survey, using the British 1990 and US CDC 2000 growth references. Two measures of weight for height: (a) the difference between weight centile and height centile, and (b) BMI centile, with the centiles analysed as SD scores (SDS). BMI centile is correlated strongly with weight centile (r=0.77) but weakly with height centile (r=0.1). By contrast the difference between weight centile and height centile is correlated only weakly with weight centile (r=0.3) and strongly negatively with height centile (r=-0.5). BMI centile is predicted to high accuracy by the multiple regression on weight centile and height centile (93-97% of variance explained, s.e.e. 0.2 units). A child's BMI centile can be calculated to high accuracy from their weight and height centiles as read off the weight and height charts. This avoids the need to calculate BMI or to plot it on the BMI chart. A chart is provided to simplify this calculation, which works throughout the spectrum of nutritional status. It can also be used to monitor individuals' weight, height and BMI centiles simultaneously as they change over time. However the simpler procedure of comparing weight and height centiles (eg a difference of two or three channel widths) is a poor measure of weight-for-height and should not be used.
Sultana, Tania; Karim, Md. Nazmul; Ahmed, Tahmeed; Hossain, Md. Iqbal
2015-01-01
Background and Objective Body-mass-index (BMI) is widely accepted as an indicator of nutritional status in adults. Mid-upper-arm-circumference (MUAC) is another anthropometric-measure used primarily among children. The present study attempted to evaluate the use of MUAC as a simpler alternative to BMI cut-off <18.5 to detect adult undernutrition, and thus to suggest a suitable cut-off value. Methods A cross-sectional study in 650 adult attendants of the patients of Dhaka-Hospital, of the International Centre for Diarrheal Disease Research, Bangladesh (icddr,b) was conducted during 2012. Height, weight and MUAC of 260 male and 390 female aged 19–60 years were measured. Curve estimation was done to assess the linearity and correlation of BMI and MUAC. Sensitivity and specificity of MUAC against BMI<18.5 was determined. Separate Receiver-operating-characteristic (ROC) analyses were performed for male and female. Area under ROC curve and Youden's index were generated to aid selection of the most suitable cut-off value of MUAC for undernutrition. A value with highest Youden's index was chosen for cut-off. Results Our data shows strong significant positive correlation (linear) between MUAC and BMI, for males r = 0.81, (p<0.001) and for females r = 0.828, (p<0.001). MUAC cut-off <25.1 cm in males (AUC 0.930) and <23.9 cm in females (AUC 0.930) were chosen separately based on highest corresponding Youden's index. These values best correspond with BMI cut-off for under nutrition (BMI <18.5) in either gender. Conclusion MUAC correlates closely with BMI. For the simplicity and easy to remember MUAC <25 cm for male and <24 cm for female may be considered as a simpler alternative to BMI cut-off <18.5 to detect adult undernutrition. PMID:25875397
Hayes, Alison J; Clarke, Philip M; Lung, Tom Wc
2011-09-25
Many studies have documented the bias in body mass index (BMI) determined from self-reported data on height and weight, but few have examined the change in bias over time. Using data from large, nationally-representative population health surveys, we examined change in bias in height and weight reporting among Australian adults between 1995 and 2008. Our study dataset included 9,635 men and women in 1995 and 9,141 in 2007-2008. We investigated the determinants of the bias and derived correction equations using 2007-2008 data, which can be applied when only self-reported anthropometric data are available. In 1995, self-reported BMI (derived from height and weight) was 1.2 units (men) and 1.4 units (women) lower than measured BMI. In 2007-2008, there was still underreporting, but the amount had declined to 0.6 units (men) and 0.7 units (women) below measured BMI. The major determinants of reporting error in 2007-2008 were age, sex, measured BMI, and education of the respondent. Correction equations for height and weight derived from 2007-2008 data and applied to self-reported data were able to adjust for the bias and were accurate across all age and sex strata. The diminishing reporting bias in BMI in Australia means that correction equations derived from 2007-2008 data may not be transferable to earlier self-reported data. Second, predictions of future overweight and obesity in Australia based on trends in self-reported information are likely to be inaccurate, as the change in reporting bias will affect the apparent increase in self-reported obesity prevalence.
Miliku, Kozeta; Bakker, Hanneke; Dorresteijn, Eiske M; Cransberg, Karlien; Franco, Oscar H; Felix, Janine F; Jaddoe, Vincent W V
2017-01-01
Creatinine and cystatin C concentrations are commonly used to estimate glomerular filtration rate (eGFR) in clinical practice and epidemiological studies. To estimate the influence of different body composition measures on eGFR from creatinine and cystatin C blood concentrations, we compared the associations of different anthropometric and body composition measures with eGFR derived from creatinine (eGFRcreat) and cystatin C (eGFRcystC) blood concentrations. In a population-based cohort study among 4,305 children aged 6.0 years (95% range 5.7-8.0), we measured weight and height and calculated body mass index (BMI) and body surface area (BSA), and lean and fat mass using dual-energy X-ray absorptiometry. At the same age, we measured creatinine and cystatin C blood concentrations and estimated the GFR. Correlation between eGFR based on creatinine and cystatin C concentrations was r = 0.40 (p value <0.01). Higher BMI was associated with lower eGFRcystC but not with eGFRcreat. Higher BSA was associated with higher eGFRcreat and lower eGFRcystC (p value <0.05). Lean and fat mass percentages were associated with eGFRcreat but not with eGFRcystC. Our findings suggest that both eGFRcreat and eGFRcystC are influenced by BMI and BSA. eGFRcreat is more strongly influenced by body composition than eGFRcystC. © 2017 S. Karger AG, Basel.
Stevens, Shawn M; Hock, Kiefer; Samy, Ravi N; Pensak, Myles L
2018-04-01
Objectives (1) Compare lateral skull base (LSB) height/thickness in patients with spontaneous cerebrospinal fluid otorrhea (CSF), superior canal dehiscence (SCD), acoustic neuromas (AN), and otosclerosis (OTO). (2) Perform correlations between age, body mass index (BMI), sex, and LSB height/thickness. Study Design Case series with chart review. Setting Tertiary referral center. Subjects and Methods Patients with CSF, SCD, AN, and OTO diagnosed from 2006 to 2016 were included if they had high-definition temporal bone computed tomography (CT) and absence of trauma, radiation, chronic ear disease, and/or congenital anomaly. CT-based measurements included LSB height/thickness and pneumatization rates overlaying the external auditory canal (EAC), tegmen tympani (TgT), perigeniculate region (PG), and internal auditory canal (IAC). LSB height/thickness, age, sex, and BMI were statistically correlated. In total, 256 patients and 493 ears (109 CSF, 115 SCD, 269 AN/OTO) were measured. Results Patients with CSF had significantly higher BMIs than the other groups ( P < .001). Patients with CSF and SCD had similar radiographic LSB phenotypes at most measured locations. Both groups exhibited a significantly lower LSB height compared to the AN and OTO groups (mean, 3.9-4.2 mm vs 4.9-5.6 mm; P < .001). Patients with CSF and SCD also demonstrated significantly lower pneumatization rates, as low as 17% to 23% overlaying the PG and IAC ( P < .001). There were no statistically significant correlations found between age, sex, BMI, and LSB height/thickness at any measurement location in any group. Conclusions Patients with CSF and SCD exhibit similar radiographic LSB phenotypes. Age, sex, and BMI do not significantly correlate with LSB height/thickness. These data support the theory that CSF and SCD arise via similar congenital pathoetiologic mechanisms.
Ay, L; Kruithof, C J; Bakker, R; Steegers, E A P; Witteman, J C M; Moll, H A; Hofman, A; Mackenbach, J P; Hokken-Koelega, A C S; Jaddoe, V W V
2009-06-01
We aimed to examine the associations of maternal anthropometrics with fetal weight measured in different periods of pregnancy and with birth outcomes. Population-based birth cohort study. Data of pregnant women and their children in Rotterdam, the Netherlands. In 8541 mothers, height, prepregnancy body mass index (BMI) and gestational weight gain were available. Fetal growth was measured by ultrasound in mid- and late pregnancy. Regression analyses were used to assess the impact of maternal anthropometrics on fetal weight and birth outcomes. Fetal weight and birth outcomes: weight (grams) and the risks of small (<5th percentile) and large (>95th percentile) size for gestational age at birth. Maternal BMI in pregnancy was positively associated with estimated fetal weight during pregnancy. The effect estimates increased with advancing gestational age. All maternal anthropometrics were positively associated with fetal size (P-values for trend <0.01). Mothers with both their prepregnancy BMI and gestational weight gain quartile in the lowest and highest quartiles showed the highest risks of having a small and large size for gestational age child at birth, respectively. The effect of prepregnancy BMI was strongly modified by gestational weight gain. Fetal growth is positively affected by maternal BMI during pregnancy. Maternal height, prepregnancy BMI and gestational weight gain are all associated with increased risks of small and large size for gestational age at birth in the offspring, with an increased effect when combined.
Polygenic risk predicts obesity in both white and black young adults.
Domingue, Benjamin W; Belsky, Daniel W; Harris, Kathleen Mullan; Smolen, Andrew; McQueen, Matthew B; Boardman, Jason D
2014-01-01
To test transethnic replication of a genetic risk score for obesity in white and black young adults using a national sample with longitudinal data. A prospective longitudinal study using the National Longitudinal Study of Adolescent Health Sibling Pairs (n = 1,303). Obesity phenotypes were measured from anthropometric assessments when study members were aged 18-26 and again when they were 24-32. Genetic risk scores were computed based on published genome-wide association study discoveries for obesity. Analyses tested genetic associations with body-mass index (BMI), waist-height ratio, obesity, and change in BMI over time. White and black young adults with higher genetic risk scores had higher BMI and waist-height ratio and were more likely to be obese compared to lower genetic risk age-peers. Sibling analyses revealed that the genetic risk score was predictive of BMI net of risk factors shared by siblings. In white young adults only, higher genetic risk predicted increased risk of becoming obese during the study period. In black young adults, genetic risk scores constructed using loci identified in European and African American samples had similar predictive power. Cumulative information across the human genome can be used to characterize individual level risk for obesity. Measured genetic risk accounts for only a small amount of total variation in BMI among white and black young adults. Future research is needed to identify modifiable environmental exposures that amplify or mitigate genetic risk for elevated BMI.
Hjellvik, Vidar; Sakshaug, Solveig; Strøm, Hanne
2012-01-01
Obesity, hypertension, and hypertriglyceridemia are important risk factors for type 2 diabetes (T2D). We wanted to assess the risk associated with these three factors alone and in combination, and the relative importance of these and several other risk factors (eg, nonfasting glucose) as predictors of T2D. Risk factors in a Norwegian population (n = 109,796) aged 40-45 years were measured in health studies in 1995-1999. Blood glucose-lowering drugs dispensed in 2004-2009 were used to estimate the incidence of T2D. Groups based on combinations of body mass index (BMI), diastolic blood pressure, and triglycerides were defined by using the 50% and 90% quantiles for each variable for men and women. The relative importance of BMI, triglycerides, total cholesterol, high-density lipoprotein cholesterol, glucose, blood pressure, and year of birth for predicting T2D was assessed using deviance from univariate and multivariate logistic regression models. Height, weight, and blood pressure were measured. All biomarkers were measured in nonfasting blood samples. In the various groups of BMI, triglycerides, and diastolic blood pressure, the incidence of T2D ranged from 0.5% to 19.7% in men and from 0.15% to 21.8% in women. BMI was the strongest predictor of incident T2D, followed by triglyceride levels in women and glucose levels in men. The inclusion of risk factors other than BMI, glucose, triglycerides, and blood pressure in multivariate models only marginally improved the prediction. BMI was the strongest predictor of type 2 diabetes. At defined levels of BMI, the incidence of T2D varied substantially with triglyceride levels and blood pressure. Thus, controlling triglycerides and blood pressure in middle-aged individuals should be targeted to prevent later onset of T2D.
Jelenkovic, Aline; Yokoyama, Yoshie; Sund, Reijo; Pietiläinen, Kirsi H; Hur, Yoon-Mi; Willemsen, Gonneke; Bartels, Meike; van Beijsterveldt, Toos CEM; Ooki, Syuichi; Saudino, Kimberly J; Stazi, Maria A; Fagnani, Corrado; D’Ippolito, Cristina; Nelson, Tracy L; Whitfield, Keith E; Knafo-Noam, Ariel; Mankuta, David; Abramson, Lior; Heikkilä, Kauko; Cutler, Tessa L; Hopper, John L; Wardle, Jane; Llewellyn, Clare H; Fisher, Abigail; Corley, Robin P; Huibregtse, Brooke M; Derom, Catherine A; Vlietinck, Robert F; Loos, Ruth JF; Bjerregaard-Andersen, Morten; Beck-Nielsen, Henning; Sodemann, Morten; Tarnoki, Adam D; Tarnoki, David L; Burt, S Alexandra; Klump, Kelly L; Ordoñana, Juan R; Sánchez-Romera, Juan F; Colodro-Conde, Lucia; Dubois, Lise; Boivin, Michel; Brendgen, Mara; Dionne, Ginette; Vitaro, Frank; Harris, Jennifer R; Brandt, Ingunn; Nilsen, Thomas Sevenius; Craig, Jeffrey M; Saffery, Richard; Rasmussen, Finn; Tynelius, Per; Bayasgalan, Gombojav; Narandalai, Danshiitsoodol; Haworth, Claire MA; Plomin, Robert; Ji, Fuling; Ning, Feng; Pang, Zengchang; Rebato, Esther; Krueger, Robert F; McGue, Matt; Pahlen, Shandell; Boomsma, Dorret I; Sørensen, Thorkild IA; Kaprio, Jaakko; Silventoinen, Karri
2017-01-01
Abstract Background There is evidence that birthweight is positively associated with body mass index (BMI) in later life, but it remains unclear whether this is explained by genetic factors or the intrauterine environment. We analysed the association between birthweight and BMI from infancy to adulthood within twin pairs, which provides insights into the role of genetic and environmental individual-specific factors. Methods This study is based on the data from 27 twin cohorts in 17 countries. The pooled data included 78 642 twin individuals (20 635 monozygotic and 18 686 same-sex dizygotic twin pairs) with information on birthweight and a total of 214 930 BMI measurements at ages ranging from 1 to 49 years. The association between birthweight and BMI was analysed at both the individual and within-pair levels using linear regression analyses. Results At the individual level, a 1-kg increase in birthweight was linearly associated with up to 0.9 kg/m2 higher BMI (P < 0.001). Within twin pairs, regression coefficients were generally greater (up to 1.2 kg/m2 per kg birthweight, P < 0.001) than those from the individual-level analyses. Intra-pair associations between birthweight and later BMI were similar in both zygosity groups and sexes and were lower in adulthood. Conclusions These findings indicate that environmental factors unique to each individual have an important role in the positive association between birthweight and later BMI, at least until young adulthood. PMID:28369451
Ahmadi, Seyed Mehdi; Keshavarzi, Sareh; Mostafavi, Seyed-Ali; Bagheri Lankarani, Kamran
2015-11-01
Overweight/obesity and depression are common among women especially in the elderly and can lead to unfavorable outcomes. We aimed to determine the association of overweight with depression and also to find any correlation of depression with some anthropometric indices in old women. A total of 94 depressed elderly women were compared with 99 non-depressed controls. The structured diagnostic interview based on DSM-IV were performed to diagnose depression, and Geriatric Depression Scale (GDS) was completed to rate it. Anthropometric indices were measured and compared between groups. Pearson correlation coefficients were determined for linear relations between variables. Odds Ratio of obesity and overweight in depressed subjects comparing with normal participants was 1.45 (95%CI=0.63-3.32). A significant correlation was observed between BMI and GDS score (r=0.231, P-value=0.001). Total body fat (P-value=0.001) and BMI (P-value=0.016) were significantly higher in depressed women than non-depressed women. Despite the significantly higher total body fat and BMI among old women with depression, only a weak correlation was seen between BMI and GDS score.
Association between chocolate consumption and fatness in European adolescents.
Cuenca-García, Magdalena; Ruiz, Jonatan R; Ortega, Francisco B; Castillo, Manuel J
2014-02-01
There is a substantial interest in the potential role of chocolate in the prevention of cardiovascular diseases. It has been recently reported that a higher frequency of chocolate intake is linked to lower body mass index (BMI) in adults. The aim of the present study was to determine if higher chocolate consumption also is associated with lower BMI, as well as other markers of total and central body fat, in adolescents. This study comprised 1458 adolescents (ages 12.5-17.5 y) participating in HELENA-CSS (Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study). Dietary intake was self-registered using a computer-based tool for 24-h dietary recall on 2 non-consecutive days. Weight and height were measured, and BMI was calculated. Adiposity was estimated using skinfolds (Slaughter's equation) and bioelectrical impedance analysis (BIA). Waist circumference was measured. Sexual maturation also was recorded. Physical activity was measured by accelerometry. Higher chocolate consumption was associated with lower levels of total and central fatness, as estimated by BMI, body fat estimated from skinfolds and BIA, and waist circumference, regardless of potential confounders (P ≤ 0.01). Our results demonstrate that a higher chocolate consumption was associated with lower total and central fatness in European adolescents. Copyright © 2014 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Hendershot, Candace; Telljohann, Susan K.; Price, James H.; Dake, Joseph A.; Mosca, Nancy W.
2008-01-01
This study examines elementary school nurses' perceived efficacy expectations, perceived barriers, and perceived benefits to measuring body mass index (BMI) in students in schools with mandated BMI policies versus schools without mandated policies. Of the 2,629 school nurses participating in the study, 67% believe nurses should measure BMI in…
Body mass index and economic productivity.
Kennedy, E; Garcia, M
1994-11-01
The paper reviews the evidence to date on the nutritional links with productivity and then goes on to provide results from a multi-country study on the effects of increasing body mass index (BMI) on productivity. The research relating nutritional status to work capacity is more consistent than the research linking nutritional status to productivity. None of the studies to date elucidate the pathways through which improved nutrition improves economic productivity. In addition, many of the studies that have been conducted on the nutrition/wage links have been based on samples that contained a disproportionate number of male subjects. The few studies that have disaggregated data by gender report different results for men and women. Research conducted at IFPRI is presented to examine the trends in BMI for men and women across countries and for Kenya to examine the relationships between various measures of nutritional status--BMI and height--and energy expenditures in women. BMIs of men show a more consistent relationship with increasing household income than do the BMIs of women. In the case of the Gambia and Kenya, the mean BMI of women decreases with increasing household income. One reason for the apparently low response of BMI to increasing household income in Kenya is the time allocation patterns of women. Women in the Kenya sample spend the largest proportion of their day in home production activities which are energy intensive. In examining the relationship between nutritional indicators and the time devoted to work, the results suggest a significant, positive association between both BMI and height and the amount of time devoted to work. In the models presented, both BMI and height appear to increase the capacity to carry out work. It is difficult to value much of this work time since a disproportionate share is devoted to home production activities. Some of the more classic methods of measuring economic productivity, such as measuring wage rates, are not relevant for women in this setting. The data from Kenya suggest that more appropriate measures for specifying the value of women's work need to be developed in order to capture some of the nutrition/productivity links which may exist.
Wicklow, B A; Becker, A; Chateau, D; Palmer, K; Kozyrskij, A; Sellers, E A C
2015-07-01
The optimal screening measures for obesity in children remain controversial. Our study aimed to determine the anthropometric measurement at age 10 years that most strongly predicts the incidence of cardio-metabolic risk factors at age 13 years. This was a prospective cohort study of a population-based cohort of 438 children followed between age 7 and 13 years of age. The main exposure variables were adiposity at age 10 years determined from body mass index (BMI) Z-score, waist circumference (WC) Z-score, waist-to-hip ratio and waist-to-height ratio. Outcome measures included systolic (SBP) and diastolic blood pressure (DBP), fasting high-density (HDL-c) and low-density lipoprotein cholesterol (LDL-c), triglycerides, insulin and glucose (homeostasis model of assessment, HOMA), and the presence of metabolic syndrome (MetS). WC Z-score at age 10 years was a stronger predictor of SBP (β 0.21, R(2) 0.38, P<0.001 vs β 0.30, R(2) 0.20, P<0.001) and HOMA (β 0.51, R(2) 0.25, P<0.001 vs 0.40, R(2) 0.19, P<0.001) at age 13 years compared with BMI Z-score. WC relative to height and hip was stronger predictors of cardio- metabolic risk than BMI Z-score or WC Z-score. The relative risk (RR) of incident MetS was greater for an elevated BMI Z-score than for an elevated WC (girls: RR 2.52, 95% confidence interval (CI): 1.46-4.34 vs RR 1.56, 95% CI 1.18-2.07) and (boys: RR 2.86, 95% CI 1.79-4.62 vs RR 2.09, 95% CI 1.59-2.77). WC was a better predictor of SBP and HOMA compared with BMI or WC expressed relative to height or hip circumference. BMI was associated with higher odds of MetS compared with WC. Thus, BMI and WC may each be clinically relevant markers of different cardio-metabolic risk factors, and important in informing obesity-related prevention and treatment strategies.
Parenting styles and body mass index trajectories from adolescence to adulthood.
Fuemmeler, Bernard F; Yang, Chongming; Costanzo, Phil; Hoyle, Rick H; Siegler, Ilene C; Williams, Redford B; Ostbye, Truls
2012-07-01
Parenting styles such as authoritarian, disengaged, or permissive are thought to be associated with greater adolescent obesity risk than an authoritative style. This study assessed the relationship between parenting styles and changes in body mass index (BMI) from adolescence to young adulthood. The study included self-reported data from adolescents in the National Longitudinal Study of Adolescent Health. Factor mixture modeling, a data-driven approach, was used to classify participants into parenting style groups based on measures of acceptance and control. Latent growth modeling (LGM) identified patterns of developmental changes in BMI. After a number of potential confounders were controlled for, parenting style variables were entered as predictors of BMI trajectories. Analyses were also conducted for male and female individuals of 3 racial-ethnic groups (Hispanic, black, white) to assess whether parenting styles were differentially associated with BMI trajectories in these 6 groups. Parenting styles were classified into 4 groups: authoritarian, disengaged, permissive, and balanced. Compared with the balanced parenting style, authoritarian and disengaged parenting styles were associated with a less steep average BMI increase (linear slope) over time, but also less leveling off (quadratic) of BMI over time. Differences in BMI trajectories were observed for various genders and races, but the differences did not reach statistical significance. Adolescents who reported having parents with authoritarian or disengaged parenting styles had greater increases in BMI as they transitioned to young adulthood despite having a lower BMI trajectory through adolescence.
Parenting Styles and Body Mass Index Trajectories From Adolescence to Adulthood
Fuemmeler, Bernard F.; Yang, Chongming; Costanzo, Phil; Hoyle, Rick H.; Ph.D.; Siegler, Ilene C.; Williams, Redford B.; Østbye, Truls
2013-01-01
Objective Parenting styles such as authoritarian, disengaged, or permissive are thought to be associated with greater adolescent obesity risk than an authoritative style. This study assessed the relationship between parenting styles and changes in body mass index (BMI) from adolescence to young adulthood. Methods The study included self-reported data from adolescents in the National Longitudinal Study of Adolescent Health. Factor mixture modeling, a data-driven approach, was used to classify participants into parenting style groups based on measures of acceptance and control. Latent growth modeling (LGM) identified patterns of developmental changes in BMI. After a number of potential cofounders were controlled for, parenting style variables were entered as predictors of BMI trajectories. Analyses were also conducted for males and females of three racial/ethnic groups (Hispanic, black, white) to assess whether parenting styles were differentially associated with BMI trajectories in these 6 groups. Results Parenting styles were classified into 4 groups: authoritarian, disengaged, permissive, and balanced. Compared with the balanced parenting style, authoritarian and disengaged parenting styles were associated with a less steep average BMI increase (linear slope) over time, but also less leveling off (quadratic) of BMI over time. Differences in BMI trajectories were observed for various genders and races, but the differences did not reach statistical significance. Conclusions Adolescents who reported having parents with authoritarian or disengaged parenting styles had greater increases in BMI as they transitioned to young adulthood despite having a lower BMI trajectory through adolescence. PMID:22545979
Culvenor, A G; Felson, D T; Wirth, W; Dannhauer, T; Eckstein, F
2018-05-25
To determine whether central (abdominal) or peripheral (thigh) adiposity measures are associated with incident radiographic knee osteoarthritis (RKOA) independent of body mass index (BMI) and whether their relation to RKOA was stronger than that of BMI. 161 Osteoarthritis Initiative (OAI) participants (62% female) with incident RKOA (Kellgren/Lawrence grade 0/1 at baseline, developing an osteophyte and joint space narrowing (JSN) grade ≥1 by year-4) were matched to 186 controls (58% female) without incident RKOA. Baseline waist-height-ratio (WHtR), and anatomical cross-sectional areas of thigh subcutaneous (SCF) and intermuscular fat (IMF) were measured, the latter using axial magnetic resonance images. Logistic regression assessed the relationship between each adiposity measure and incident RKOA before and after adjustment for BMI, and area under receiver operating characteristic curves (AUC) for each adiposity measure was compared to that of BMI using chi-squared tests. BMI, WHtR, subcutaneous fat (SCF) and IMF were all significantly associated with incident RKOA when analysed separately, with similar effect sizes (odds ratio range 1.30-1.53). After adjusting for BMI, odds ratios (ORs) for WHtR, SCF and IMF were attenuated and no longer statistically significant. No measure of central or peripheral adiposity was significantly more strongly associated with incident RKOA than BMI. Results were similar for men and women. Although both central (WHtR) and peripheral (SCF and IMF) adiposity were significantly associated with incident RKOA, neither was more strongly associated with incident RKOA than BMI. The simple measure of BMI appears sufficient to capture the elevated risk of RKOA associated with greater amounts of localised adiposity. Copyright © 2018 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
Cote, David J; Downer, Mary K; Smith, Timothy R; Smith-Warner, Stephanie A; Egan, Kathleen M; Stampfer, Meir J
2018-06-26
Recent studies have suggested height as a risk factor for glioma, but less is known regarding body mass index (BMI) or other anthropomorphic measures. We evaluated the association between body habitus and risk of glioma. We evaluated the association of measures of height, BMI, waist circumference, and somatotypes with risk of glioma in two prospective cohorts, the Nurses' Health Study and the Health Professionals Follow-Up Study. We documented 508 incident cases of glioma (321 glioblastoma [GBM]). In both cohorts, we found no significant association between adult BMI or waist circumference and risk of glioma, with pooled HR for BMI of 1.08 (95% CI 0.85-1.38 comparing ≥ 30 to < 25 kg/m 2 ) and for waist circumference of 1.05 (95% CI 0.80-1.37 highest vs. lowest quintile). Higher young adult BMI (at age 18 in NHS and 21 in HPFS) was associated with modestly increased risk of glioma in the pooled cohorts (pooled HR 1.35, 95% CI 1.06-1.72 comparing ≥ 25 kg/m 2 vs. less; HR 1.34 for women and 1.37 for men). Analysis of body somatotypes suggested reduced risk of glioma among women with heavier body types at all ages this measure was assessed (HRs ranging from 0.52 to 0.65 comparing highest tertile to lowest tertile), but no significant association among men. Height was associated with increased risk of glioma among women (HR 1.09, 95% CI 1.04-1.14 per inch), but not significantly among men. Within the 8 years prior to diagnosis, cases had no material weight loss compared to non-cases. All results were similar when limited to GBM. Adult BMI and waist circumference were not associated with glioma. Higher BMI at age 21 for men and at age 18 for women was modestly associated with risk in the pooled cohort. Based on body somatotypes, however, women with heavier body types during childhood and young adulthood may be at lower risk of glioma, although this association was not observed later in life with measurements of BMI. Greater height was associated with increased risk, and the trend was more pronounced in women.
Lam, Benjamin Chih Chiang; Koh, Gerald Choon Huat; Chen, Cynthia; Wong, Michael Tack Keong; Fallows, Stephen J
2015-01-01
Excess adiposity is associated with cardiovascular disease (CVD) risk factors such as hypertension, diabetes mellitus and dyslipidemia. Amongst the various measures of adiposity, the best one to help predict these risk factors remains contentious. A novel index of adiposity, the Body Adiposity Index (BAI) was proposed in 2011, and has not been extensively studied in all populations. Therefore, the purpose of this study is to compare the relationship between Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), Waist-to-Height Ratio (WHtR), Body Adiposity Index (BAI) and CVD risk factors in the local adult population. This is a cross sectional study involving 1,891 subjects (Chinese 59.1% Malay 22.2%, Indian 18.7%), aged 21-74 years, based on an employee health screening (2012) undertaken at a hospital in Singapore. Anthropometric indices and CVD risk factor variables were measured, and Spearman correlation, Receiver Operating Characteristic (ROC) curves and multiple logistic regressions were used. BAI consistently had the lower correlation, area under ROC and odd ratio values when compared with BMI, WC and WHtR, although differences were often small with overlapping 95% confidence intervals. After adjusting for BMI, BAI did not further increase the odds of CVD risk factors, unlike WC and WHtR (for all except hypertension and low high density lipoprotein cholesterol). When subjects with the various CVD risk factors were grouped according to established cut-offs, a BMI of ≥23.0 kg/m2 and/or WHtR ≥0.5 identified the highest proportion for all the CVD risk factors in both genders, even higher than a combination of BMI and WC. BAI may function as a measure of overall adiposity but it is unlikely to be better than BMI. A combination of BMI and WHtR could have the best clinical utility in identifying patients with CVD risk factors in an adult population in Singapore.
Bonney, Emmanuel; Ferguson, Gillian; Smits-Engelsman, Bouwien
2018-05-28
Background : Cardiorespiratory and musculoskeletal fitness are important health indicators that support optimal physical functioning. Understanding the relationship between body mass index and these health markers may contribute to the development of evidence-based interventions to address obesity-related complications. The relationship between body mass index, cardiorespiratory and musculoskeletal fitness has not been well explored, particularly in female adolescents. The aim of this study was to investigate the association between body mass index, cardiorespiratory and musculoskeletal fitness among South African adolescent girls in low-income communities. Methods : This cross-sectional study included 151 adolescent girls, aged 13⁻16 years. Cardiorespiratory fitness was measured using the 20 m shuttle run test and musculoskeletal fitness was assessed using a variety of field-based tests. Height and weight were measured with standardised procedures and body mass index (BMI) was derived by the formula [BMI = weight (kg)/height (m)²]. Participants were categorised into three BMI groups using the International Obesity Task Force age- and gender-specific cut-off points. Pearson correlations were used to determine the association between body mass index, cardiorespiratory fitness and measures of musculoskeletal fitness at p ≤ 0.05. Results : Overweight and obese girls were found to have lower cardiorespiratory fitness, decreased lower extremity muscular strength, greater grip strength, and more hypermobile joints compared to normal-weight peers. BMI was negatively associated with cardiorespiratory fitness and lower extremity muscular strength. Conclusions : The findings indicate that increased body mass correlates with decreased cardiorespiratory and musculoskeletal fitness. Interventions should be developed to target these important components of physical fitness in this demographic group.
Yates, Alayne; Edman, Jeanne; Aruguete, Mara
2004-04-01
To distinguish body mass index (BMI) and body/self-dissatisfaction among Asian subgroups. 211 white, 155 Japanese, 112 African-American, 79 Filipino, 70 Chinese, 70 Hawaiian, and 124 multiethnic college students in Hawaii completed: Figure Drawings (index of body-dissatisfaction), self-loathing subscale (SLSS, exercise-based measure of self-dissatisfaction), Eating Disorder Inventory-2 (EDI), and symptom self-report. Pearson correlation analyses were performed to determine whether BMI scores were related to self- and body-dissatisfaction and the relationship between self- and body-dissatisfaction. BMI was highly correlated with body and self-dissatisfaction for males and females. Males appeared more satisfied than females with the body and more diverse in choice of larger or smaller ideal body type. Highly significant BMI/ethnic group differences emerged. White males were large (high BMI) but very satisfied with body and self. Filipino males were the largest of all male groups but followed a female pattern of strong body/self-dislike and preference for smaller body. Chinese females were small and highly satisfied with body/self whereas Japanese females were small but highly dissatisfied with body/self. Combining various ethnic groups under a single "Asian" category obscures important group differences. Study clearly demonstrates Asian ethnic subgroup differences in BMI and body/self dissatisfaction.
Yin, Baomin; Liang, Xiong; Adair, Linda; Thompson, Amanda; Zhang, Jianduan
2015-01-01
Objectives To assess if the maternal pre-pregnancy weight status (MPWS) alters the association of early infant feeding pattern (at one and third months) with infant body mass index (BMI) in the first two years of life. Methods A cohort of 2,220 neonates were recruited in a community-based study conducted in China. Body weight and length were measured at birth, at age one and two, with BMI calculated accordingly. The BMI z-scores (BMI-Z) were computed according to the World Health Organization Growth Standard (2006). Feeding patterns were classified as exclusive breastfeeding (EBF), mixed feeding (MF), and formula feeding (FF). General linear models (GLM) were employed to estimate main and interaction effects of EBF and MPWS on children’s BMI-Z. Results No main effect of MPWS was found on child BMI-Z at ages one and two, nor the feeding patterns. An interaction between MPWS and feeding patterns was detected (p<0.05). For children who were formula fed during the first month, those who were born to overweight/obesity (OW/OB) mothers had a significantly greater BMI-Z at ages one and two, compared with those with underweight/normal weight (UW/NW) mothers. FF children had greater BMI-Z at ages one and two compared with their EBF and MF counterparts, when they were born to OW/OB mothers. Conclusions Maternal pre-pregnancy weight control and early initiation of EBF for children are essential for healthy development in children’s BMI, hence the prevention of early life obesity. PMID:26641272
Bidirectional associations between mothers' and fathers' parenting consistency and child BMI.
Jansen, Pauline W; Giallo, Rebecca; Westrupp, Elizabeth M; Wake, Melissa; Nicholson, Jan M
2013-12-01
Research suggests that general parenting dimensions and styles are associated with children's BMI, but directionality in this relationship remains unknown. Moreover, there has been little attention to the influences of both mothers' and fathers' parenting. We aimed to examine reciprocal relationships between maternal and paternal parenting consistency and child BMI. Participants were 4002 children and their parents in the population-based Longitudinal Study of Australian Children. Mothers and fathers self-reported parenting consistency, and children's BMI was measured at 4 biennial waves starting at age 4 to 5 years in 2004. Bidirectionality between parenting and child BMI was examined by using regression analyses in cross-lagged models. The best-fitting models indicated a modest influence from parenting to child BMI, whereas no support was found for bidirectional influences. For mothers, higher levels of parenting consistency predicted lower BMI in children from Waves 1 to 2 and 3 to 4; for example, for every SD increase in mothers' parenting consistency at Wave 1, child BMIz fell by 0.025 in Wave 2 (95% confidence interval: -0.05 to -0.003). For fathers, higher levels of parenting consistency were associated with lower child BMI from Waves 1 to 2 and 2 to 3. Parenting inconsistency of mothers and fathers prospectively predicted small increases in offspring BMI over 2-year periods across middle childhood. However, child BMI did not appear to influence parenting behavior. These findings support recent calls for expanding childhood overweight interventions to address the broad parenting context while involving both mothers and fathers.
Wollner, Materko; Paulo Roberto, Benchimol-Barbosa; Alysson Roncally, Silva Carvalho; Jurandir, Nadal; Edil, Luis Santos
2017-01-01
Introduction. Obesity is defined by the World Health Organization (WHO) as a disease characterized by the excessive accumulation of body fat. Obesity is considered a public health problem, leading to serious social, psychological and physical problems. However, the appropriate cut-off point of body mass index (BMI) based on body fat percentage (BF%) for classifying an individual as obese in middle-aged adults living in Rio de Janeiro remains unclear. Materials and methods. This was a prospective cross-sectional study comprising of 856 adults (413 men and 443 women) living in Rio de Janeiro, Brazil ranging from 30-59 years of age. The data were collected over a two year period (2010-2011), and all participants were underwent anthropometric evaluation. The gold standard was the percentage of body fat estimated by bioelectrical impedance analysis. The optimal sensitivity and specificity were attained by adjusting BMI cut-off values to predict obesity based on the WHO criteria: BF% >25% in men and >35% in women, according to the receiver operating characteristic curve (ROC) analysis adjusted for age and for the whole group. Results. The BMI cut-offs for predicting BF% were 29.9 kg/m2 in men and 24.9 kg/m2 in women. Conclusions The BMI that corresponded to a BF% previously defining obesity was similar to that of other Western populations for men but not for women. Furthermore, gender and age specific cut-off values are recommended in this population. Significance for public health World Health Organization (WHO) defines obesity as a disease characterized by the excessive accumulation of body fat. Obesity is considered a public health problem, leading to serious social, psychological and physical problems. The WHO suggested cut-off point for obesity is a body mass index (BMI) of 30 kg/m2, which is associated with morbidity and mortality. An important issue in the debate over measuring obesity concerns the use of BMI to define obesity across different populations. However, it is not clear, what is an appropriate cut-off point of BMI based on body fat percentage (BF%) to classify an individual as obese within gender-age groups and to distinguish categories of BF% in middle-aged adults living in the city of Rio de Janeiro. PMID:29071256
Past body mass index and risk of mortality among women
Moore, Steven C.; Mayne, Susan T.; Graubard, Barry I.; Schatzkin, Arthur; Albanes, Demetrius; Schairer, Catherine; Hoover, Robert N.; Leitzmann, Michael F.
2011-01-01
Background Epidemiologic studies of BMI in relation to mortality commonly exclude persons with health conditions and/or a history of smoking in order to prevent bias resulting from illness-related weight loss (“reverse causation”). Analysis of BMI from an earlier time period may minimize reverse causation without requiring exclusion of participants based on disease or smoking history. Methods We prospectively examined BMI based on technician measurements of weight and height from 10 years prior to start of follow-up in relation to subsequent mortality in a cohort of 50,186 women who were 40 to 93 years old at baseline in 1987–1989. Deaths were ascertained through the U.S. National Death Index. Proportional hazards regression was used to estimate hazard ratios of mortality, adjusted for age, education, race/ethnicity, income, menopausal hormone use, smoking, and physical activity. Results During 10 years of follow-up through 1997, 5,201 women died. Overall, we observed a J-shaped association between BMI and mortality, with increased risk for women who were underweight, overweight, or obese. The hazard ratios and 95% confidence intervals of mortality for BMI categories of <18.5, 18.5–20.9, 21.0–23.4 (reference), 23.5–24.9, 25.0–27.4, 27.5–29.9, 30.0–34.9, and 35.0+ kg/m2 were 1.43 (1.19, 1.72), 1.07 (0.98, 1.17), 1.0 (reference), 1.10 (1.00, 1.20), 1.20 (1.11, 1.31), 1.23 (1.11, 1.37), 1.60 (1.44, 1.77), and 1.92 (1.64, 2.24). There was little evidence that preexisting conditions (heart disease, diabetes, and/or cancer) or smoking history modified the past BMI and mortality relation (p=0.54 and 0.76). Conclusions In this large cohort of women, BMI based on technician measurements of weight and height from 10 years prior to baseline showed increased risk for mortality across the range of overweight and obesity, regardless of disease and smoking history. Observed associations between overweight, obesity, and mortality in healthy individuals may also apply to persons with a history of disease or smoking. PMID:18209736
Komai, Satsuki; Watanabe, Yutaka; Fujiwara, Yoshinori; Kim, Hunkyung; Edahiro, Ayako; Kawai, Hisashi; Yoshida, Hideyo; Obuchi, Shuichi; Tanaka, Yayoi; Hirano, Hirohiko
2016-01-01
To investigate the association between nutritional evaluation indices (body mass index, albumin, and weight loss) and sarcopenia severity among community-dwelling elderly people in Japan. The subjects consisted of 758 community-dwelling elderly people ≥65 years of age, categorized into two groups by based on Operation of long life medical care system (medical care system for elderly in the latter stage of life), the cut-off value for age used was 75. The outcome measures were basic characteristics, anthropometric measures, physical function, and blood biochemistry (five assessments). The appendicular skeletal muscle mass was calculated via a bioelectrical impedance analysis. The subjects were categorized into three groups by the body mass index (BMI) [BMI 3 group]. The cut-off value for albumin used was 3.8 g/dL [A1b 2 group]. Weight loss was assessed using item 11 on the Kihon check list: "Have you experienced more than 2-3 kg weight loss over the past 6 months? Yes=1, No=0." [weight loss 2 group]. Sarcopenia was defined based on the European Working Group on Sarcopenia in Older People definition, using the Asian Working Group for Sarcopenia cut-off values. All subjects were then categorized into four groups based on their sarcopenia status: non-sarcopenic (non-), pre-sarcopenic (pre-), sarcopenic (sarco-), or severely sarcopenic (severe-) [sarco4 group]. The prevalence of sarcopenia and severe sarcopenia in men was 5.6% (n=18) and 1.2% (n=4), respectively, and in women was 7.8% (n=34) and 1.6% (n=7), respectively. The analysis showed that, among the people (>75 years of age) with normal BMI (18.5-25.0), 10.4%-15.6% were in the Sarco group. Further, among women over 75 years of age with BMI >25.0, 5.7% (n=2) were in the Sarco group. There was a significant association between weight loss and sarcopenia severity in older men. No significant association between albumin levels and sarcopenia severity was observed. 80.0% of weight-loss was presented in above BMI 18.5 kg/m2 and Alb 3.8 g/dL. Sarcopenia and severe sarcopenia were prevalent among those with normal BMI, and particularly among obese women over 75 years of age. Weight-loss was presented in above BMI 18.5 kg/m2 and Alb 3.8 g/dL. Our findings indicate that the nutritional evaluation indices, including BMI, albumin, and weight loss, were insufficient in screening for malnutrition and sarcopenia among the elderly.
The MATCH Program: Long-Term Obesity Prevention Through a Middle School Based Intervention.
Lazorick, Suzanne; Fang, Xiangming; Crawford, Yancey
2016-04-01
Motivating Adolescents with Technology to CHOOSE Health™ (MATCH) has been provided for eight years in North Carolina middle schools with high obesity prevalence. Seventh grade teachers in two schools delivered MATCH lessons in 2009, with one control school. In 2013 students were remeasured and completed a health behavior survey. Outcomes include BMI, BMI z-score (zBMI), weight category, and self-reported behaviors. Comparisons used t tests (continuous measures), Fisher's exact test (categorical measures), and linear mixed models (trend between groups). Of original participants, 104/189 (55%) of MATCH and 117/173 (68%) of control were remeasured. In the control group, retained participants had lower baseline BMI and were higher percent white. Among all participants, zBMI decreased in MATCH (mean change -0.15 with SD = 0.60) and increased in control (mean change 0.04 with SD = 0.52); between groups p = 0.02. In mixed models for the all overweight subgroup, MATCH had a downward trend in zBMI over time that was significantly different from control (slope MATCH -0.0036 versus control 0.0009; p = 0.01). For shifts in weight category: incidence of obesity was lower in MATCH (13%) versus control (39%); remission of overweight to healthy weight was greater in MATCH (40%) versus control (26%). MATCH participants self-reported lower frequency of intake of sweetened beverages and snacks and hours of weekday TV time than control students. MATCH participation can result in long-term prevention of obesity compared to control, with differences in self-reported health behavior changes to support an underlying mechanism for the observed BMI differences.
de Wilde, J A; Dekker, M; Middelkoop, B J C
2018-03-01
South Asians are prone to cardiometabolic disease at lower BMI levels than most other ethnic groups, starting in childhood. The magnitude of BMI misclassifications is unknown. To compare the BMI distribution of contemporary South Asian 0-20 year olds in the Netherlands with: (1) The South Asian norm reference (secular trends); and (2) The WHO child growth standard and reference. The BMI-for-age distribution of 6677 routine measurements of 3322 South Asian children, aged 0-20 years, was described with the LMS method and BMI z-scores. The BMI distribution in South Asian 0-4 year olds was almost similar to the norm reference (mean BMI z-score = 0.11, skewness = 0.31, SD = 1.0), whereas in 5-19 year olds the distribution had shifted upwards (mean = 0.53) and widened (skewness = -0.12, SD = 1.08). Overweight (incl. obesity) and obesity peaked at 8-10 years, at 45-48% and 35-37%, respectively. Relative to the WHO references, the BMI distribution was left-shifted at ages 0-4 years (mean BMI z-score = -0.46, skewness = 0.23, SD = 0.98) and widened at ages 5-20 years (mean = 0.05; skewness = -0.02, SD = 1.40). At most ages, thinness rates were significantly higher and obesity rates lower than based on South Asian norms. A secular change of BMI-for-age in South Asian children mostly affected children >4 years. WHO references likely under-estimate overweight and obesity rates in South Asian children.
Dhana, Klodian; Koolhaas, Chantal M; Schoufour, Josje D; Rivadeneira, Fernando; Hofman, Albert; Kavousi, Maryam; Franco, Oscar H
2016-06-01
The decrease in fat-free mass (FFM) seen in many elderly people is usually associated with an increase in fat mass (FM), a state referred to as sarcopenic obesity. It is not clear which anthropometric measures are best used to identify sarcopenic obesity. We therefore evaluated which anthropometric measures are differentially associated with FM and FFM. The anthropometric measures tested were body mass index (BMI), waist circumference (WC), and a body shape index (ABSI = WC/(BMI(2/3)*Height(1/2))). FM and FFM were estimated by dual-energy X-ray absorptiometry. An index-score was calculated for both FM (FMI) and FFM (FFMI) by dividing FM and FFM by height. Multivariable linear regression models were used to assess the associations of BMI, WC and ABSI with FMI and FFMI among 3612 participants (2092 women) from the prospective population-based Rotterdam Study. In multivariate models adjusted for confounders, BMI and WC were positively associated with both FMI and FFMI in men and women. ABSI was positively associated with FMI (β 1.01, 95% confidence interval (95%CI) 0.85, 1.17) and negatively associated with FFMI (β -0.28, 95%CI -0.38, -0.17) in men. In women, ABSI was not associated with FMI and was positively associated with FFMI (β 0.18, 95%CI 0.10, 0.26). While BMI and WC were both positively associated with FM and FFM, ABSI showed a differential association with FM and FFM in men, but not in women. Since sarcopenic obesity is associated with decreased FFM and increased FM, ABSI could be a useful tool for identifying men at higher risk of sarcopenic obesity. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Zenitani, Satoko; Nishiuchi, Hiromu; Kiuchi, Takahiro
2010-04-01
The Smart-card-based Automatic Meal Record system for company cafeterias (AutoMealRecord system) was recently developed and used to monitor employee eating habits. The system could be a unique nutrition assessment tool for automatically monitoring the meal purchases of all employees, although it only focuses on company cafeterias and has never been validated. Before starting an interventional study, we tested the reliability of the data collected by the system using the data mining approach. The AutoMealRecord data were examined to determine if it could predict current obesity. All data used in this study (n = 899) were collected by a major electric company based in Tokyo, which has been operating the AutoMealRecord system for several years. We analyzed dietary patterns by principal component analysis using data from the system and extracted 5 major dietary patterns: healthy, traditional Japanese, Chinese, Japanese noodles, and pasta. The ability to predict current body mass index (BMI) with dietary preference was assessed with multiple linear regression analyses, and in the current study, BMI was positively correlated with male gender, preference for "Japanese noodles," mean energy intake, protein content, and frequency of body measurement at a body measurement booth in the cafeteria. There was a negative correlation with age, dietary fiber, and lunchtime cafeteria use (R(2) = 0.22). This regression model predicted "would-be obese" participants (BMI >or= 23) with 68.8% accuracy by leave-one-out cross validation. This shows that there was sufficient predictability of BMI based on data from the AutoMealRecord System. We conclude that the AutoMealRecord system is valuable for further consideration as a health care intervention tool. Copyright 2010 Elsevier Inc. All rights reserved.
Association between Neighborhood Walkability, Cardiorespiratory Fitness and Body-Mass Index
Hoehner, Christine M.; Handy, Susan L.; Yan, Yan; Blair, teven N.; Berrigan, David
2011-01-01
Many studies have found cross-sectional associations between characteristics of the neighborhood built environment and physical activity (PA) behavior. However, most are based on self-reported PA, which is known to result in overestimation of PA and differential misclassification by demographic and biological characteristics. Cardiorespiratory fitness (CRF) is an objective marker of PA because it is primarily determined by PA. Furthermore, it is causally related to long-term health outcomes. Therefore, analyses of the association between CRF and built environment could strengthen arguments for the importance of built environment influences on health. We examined the association between neighborhood walkability and CRF and body-mass index (BMI). This cross-sectional analysis included 16,543 adults (5,017 women, 11,526 men) aged 18–90 years with home addresses in Texas who had a comprehensive clinical examination between 1987 and 2005. Outcomes included CRF from total duration on a maximal exercise treadmill test and measured BMI. Three neighborhood walkability factors emerged from principal components analyses of block-group measures derived from the U.S. Census. In multilevel adjusted analyses, the neighborhood walkability factors were significantly associated with CRF and BMI among men and women in the expected direction. An interaction between one of the neighborhood factors and age was also observed. The interaction suggested that living in neighborhoods with older homes and with residents traveling shorter distances to work was more strongly positively associated with CRF among younger adults and more strongly negatively associated with BMI among older adults. In conclusion, neighborhood characteristics hypothesized to support more PA and less driving were associated with higher levels of CRF and lower BMI. Demonstration of an association between built environment characteristics and CRF is a significant advance over past studies based on self-reported PA. Nevertheless, stronger causal evidence depends on more robust study designs and sophisticated measures of the environment, behavior, and their physiological consequences. PMID:22030212
Adolescents' perceived weight associated with depression in young adulthood: a longitudinal study.
Al Mamun, Abdullah; Cramb, Susanna; McDermott, Brett M; O'Callaghan, Michael; Najman, Jake M; Williams, Gail M
2007-12-01
The objective of this study is to examine whether adolescents' measured BMI and self- or mother's perception of weight status at age 14 are associated with depression at age 21. The study participants were a subsample of 2017 participants of the Mater-University of Queensland Study of Pregnancy and Its Outcomes, a population-based birth cohort study, which commenced in 1981 in Brisbane, Australia, for whom measured BMI at ages 14 and 21 and information on self-reported mental health problems were available at the age 21 follow-up. A total of 1802 individuals had measured BMI and reported weight perception in a supplementary questionnaire at 14 years, and their self-reported mental health problems were reported at 21 years. Mental health was measured using Center for Epidemiology Studies Depression Scale and Young Adults Self-Reported depression/anxiety at 21 years of age. We found that both young adult males and females who perceived themselves as overweight at age 14 had more mental health problems compared with those who perceived themselves as the right weight. When we combined adolescents' weight perception with their measured BMI categories, weight perception but not measured overweight was associated with mental health problems for males and females at age 21. This association remained after adjusting for potential confounders, including adolescents' behavioral problems, family meals, diet, physical activity, and television watching. This study suggests that the perception of being overweight during adolescence is a significant risk factor for depression in young adult men and women. The perception of being overweight during adolescence should be considered a possible target for a prevention intervention.
Lichtenstein, M J; Dhanda, R; Cornell, J E; Escalante, A; Hazuda, H P
2000-06-01
Elders often present to health care providers with multiple inter-related conditions that determine an individual's ability to function. The disablement process provides a generalized sociomedical framework for investigating the complex pathways from chronic disease to disability. At each stage of the main pathway, associations may exist among primary physical factors and modifying variables that ultimately have downstream effects on the progression toward disability. The purpose of the present analysis is to examine the inter-relationships between a cohesive set of variables primarily at the level of impairment that may affect hip and knee flexion range of motion (ROM). The San Antonio Longitudinal Study of Aging enrolled 833 community dwelling Mexican (MA) and European American (EA) elders aged 64-78 years between 1992 and 1996. Of these, 647 had complete data from both a home-based and performance-based battery of assessments for these analyses. Concerning impairments, hip ROM was measured using an inclinometer, and knee ROM using a goniometer. Pain location and intensity were assessed using the McGill Pain Questionnaire. Peripheral vascular disease was assessed using doppler brachial and ankle systolic blood pressures. Ankle and knee reflexes, and vibratory sensation were assessed by a standardized neurological examination. As to diseases, diabetes was assessed using a combination of blood glucose levels and self-report, and arthritis by self-report. Concerning modifying variables, height and weight were directly measured and used to calculate BMI. Activity level was assessed with the Minnesota Leisure Time Questionnaire. Analgesic use was assessed by direct observation of medications taken within the past two weeks. We used structural equation modeling to test associations between the variables that were specified a priori. These analyses demonstrate the central role of BMI as a determinant of hip and knee flexion ROM. For an increase in level of BMI, the coefficients [SEM] for changes in levels of hip and knee ROM were -0.38 [0.05] and -0.26 [0.05], respectively. A higher BMI resulted in lower hip and knee ROM. BMI was also directly associated with prevalent diabetes (0.10 [0.05]) and arthritis (0.17 [0.05]). However, after adjustment for BMI, diabetes and arthritis did not have direct independent associations with either hip or knee ROM. BMI was also indirectly associated with knee, but not hip, ROM through paths including lower-leg pain, pain intensity, and neurosensory impairments. Diabetes had an indirect association with hip, but not knee ROM, through a path including peripheral vascular disease. In conclusion, BMI is a primary direct determinant of hip and knee ROM. The paths by which diabetes and arthritis lead to physical disability may be mediated, in part, at the level of impairment by BMI's association with joint range of motion. Interventions designed to decrease the impact of diabetes and arthritis on disability should track changes in BMI and joint ROM to measure the paths that account for the intervention's success. The observed associations suggest that interventions targeted to decrease BMI itself may lead to improved function in part through improved joint ROM.
Würtz, Peter; Wang, Qin; Kangas, Antti J; Richmond, Rebecca C; Skarp, Joni; Tiainen, Mika; Tynkkynen, Tuulia; Soininen, Pasi; Havulinna, Aki S; Kaakinen, Marika; Viikari, Jorma S; Savolainen, Markku J; Kähönen, Mika; Lehtimäki, Terho; Männistö, Satu; Blankenberg, Stefan; Zeller, Tanja; Laitinen, Jaana; Pouta, Anneli; Mäntyselkä, Pekka; Vanhala, Mauno; Elliott, Paul; Pietiläinen, Kirsi H; Ripatti, Samuli; Salomaa, Veikko; Raitakari, Olli T; Järvelin, Marjo-Riitta; Smith, George Davey; Ala-Korpela, Mika
2014-12-01
Increased adiposity is linked with higher risk for cardiometabolic diseases. We aimed to determine to what extent elevated body mass index (BMI) within the normal weight range has causal effects on the detailed systemic metabolite profile in early adulthood. We used Mendelian randomization to estimate causal effects of BMI on 82 metabolic measures in 12,664 adolescents and young adults from four population-based cohorts in Finland (mean age 26 y, range 16-39 y; 51% women; mean ± standard deviation BMI 24 ± 4 kg/m(2)). Circulating metabolites were quantified by high-throughput nuclear magnetic resonance metabolomics and biochemical assays. In cross-sectional analyses, elevated BMI was adversely associated with cardiometabolic risk markers throughout the systemic metabolite profile, including lipoprotein subclasses, fatty acid composition, amino acids, inflammatory markers, and various hormones (p<0.0005 for 68 measures). Metabolite associations with BMI were generally stronger for men than for women (median 136%, interquartile range 125%-183%). A gene score for predisposition to elevated BMI, composed of 32 established genetic correlates, was used as the instrument to assess causality. Causal effects of elevated BMI closely matched observational estimates (correspondence 87% ± 3%; R(2)= 0.89), suggesting causative influences of adiposity on the levels of numerous metabolites (p<0.0005 for 24 measures), including lipoprotein lipid subclasses and particle size, branched-chain and aromatic amino acids, and inflammation-related glycoprotein acetyls. Causal analyses of certain metabolites and potential sex differences warrant stronger statistical power. Metabolite changes associated with change in BMI during 6 y of follow-up were examined for 1,488 individuals. Change in BMI was accompanied by widespread metabolite changes, which had an association pattern similar to that of the cross-sectional observations, yet with greater metabolic effects (correspondence 160% ± 2%; R(2) = 0.92). Mendelian randomization indicates causal adverse effects of increased adiposity with multiple cardiometabolic risk markers across the metabolite profile in adolescents and young adults within the non-obese weight range. Consistent with the causal influences of adiposity, weight changes were paralleled by extensive metabolic changes, suggesting a broadly modifiable systemic metabolite profile in early adulthood. Please see later in the article for the Editors' Summary.
Mollerup, P M; Lausten-Thomsen, U; Fonvig, C E; Baker, J L; Holm, J-C
2017-10-01
Due to the pandemic of childhood obesity and thus obesity-related hypertension, improvements in treatment availability are needed. Hence, we investigated whether reductions in blood pressure (BP) would occur in children with overweight and obesity exhibiting prehypertension/hypertension during a community-based overweight and obesity treatment program, and if changes in body mass index (BMI) are associated with changes in BP. The study included 663 children aged 3-18 years with a BMI ⩾85th percentile for sex and age that entered treatment from June 2012 to January 2015. Height, weight and BP were measured upon entry and every 3-6 months. BMI and BP s.d. scores (SDSs) were calculated according to sex and age, or sex, age and height. Prehypertension was defined as a BP SDS ⩾1.28 and <1.65. Hypertension was defined as a BP SDS ⩾1.65. Upon entry, 52% exhibited prehypertension (11.9%) or exhibited hypertension (40.1%). After 12 months (range: 3-29) of treatment, 29.3% of the children with prehypertension/hypertension were normotensive. Children with systolic prehypertension/hypertension upon entry reduced their systolic BP SDSs by 0.31 (95% confidence interval (CI): 0.70-0.83, P<0.0001). Children with diastolic prehypertension/hypertension upon entry reduced their diastolic BP SDSs by 0.78 (95% CI: 0.78-0.86, P<0.0001). BMI SDS changes were positively associated with BP SDS changes (P<0.0001). Nonetheless, some children reduced BP SDSs while increasing their BMI SDSs, and prehypertension/hypertension developed in 23.3% of the normotensive children despite reductions in BMI SDSs (P<0.0001). These results suggest that community-based overweight and obesity treatment can reduce BP, and thus may help improve treatment availability.
Correlation of cephalometric and anthropometric measures with obstructive sleep apnea severity
Borges, Paulo de Tarso M; Filho, Edson Santos Ferreira; Araujo, Telma Maria Evangelista de; Neto, Jose Machado Moita; Borges, Nubia Evangelista de Sa; Neto, Baltasar Melo; Campelo, Viriato; Paschoal, Jorge Rizzato; Li, Li M
2013-01-01
Summary Introduction: Patients with obstructive sleep apnea-hypopnea syndrome (OSAHS) often have associated changes in craniofacial morphology and distribution of body fat, either alone or in combination. Aim: To correlate cephalometric and anthropometric measures with OSAHS severity by using the apnea-hypopnea index (AHI). Method: A retrospective cephalometry study of 93 patients with OSAHS was conducted from July 2010 to July 2012. The following measurements were evaluated: body mass index (BMI), neck circumference (NC), waist circumference (WC), hip circumference (HC), the angles formed by the cranial base and the maxilla (SNA) and the mandible (SNB), the difference between SNA and SNB (ANB), the distance from the mandibular plane to the hyoid bone (MP-H), the space between the base of the tongue and the posterior pharyngeal wall (PAS), and the distance between the posterior nasal spine and the tip of the uvula (PNS-P). Means, standard deviations, and Pearson's correlation coefficients were calculated and analyzed. Results: AHI correlated significantly with BMI (r = 0.207, p = 0.047), NC (r = 0.365, p = 0.000), WC (r = 0.337, p = 0.001), PNS-P (r = 0.282, p = 0.006), and MP-H (r = 0.235, p = 0.023). Conclusion: Anthropometric measurements (BMI, NC, and WC) and cephalometric measurements (MP-H and PNS-P) can be used as predictors of OSAHS severity. PMID:25992029
2011-01-01
Background Parental reports are often used in large-scale surveys to assess children's body mass index (BMI). Therefore, it is important to know to what extent these parental reports are valid and whether it makes a difference if the parents measured their children's weight and height at home or whether they simply estimated these values. The aim of this study is to compare the validity of parent-reported height, weight and BMI values of preschool children (3-7 y-old), when measured at home or estimated by parents without actual measurement. Methods The subjects were 297 Belgian preschool children (52.9% male). Participation rate was 73%. A questionnaire including questions about height and weight of the children was completed by the parents. Nurses measured height and weight following standardised procedures. International age- and sex-specific BMI cut-off values were employed to determine categories of weight status and obesity. Results On the group level, no important differences in accuracy of reported height, weight and BMI were identified between parent-measured or estimated values. However, for all 3 parameters, the correlations between parental reports and nurse measurements were higher in the group of children whose body dimensions were measured by the parents. Sensitivity for underweight and overweight/obesity were respectively 73% and 47% when parents measured their child's height and weight, and 55% and 47% when parents estimated values without measurement. Specificity for underweight and overweight/obesity were respectively 82% and 97% when parents measured the children, and 75% and 93% with parent estimations. Conclusions Diagnostic measures were more accurate when parents measured their child's weight and height at home than when those dimensions were based on parental judgements. When parent-reported data on an individual level is used, the accuracy could be improved by encouraging the parents to measure weight and height of their children at home. PMID:21736757
Higher Rate of Iron Deficiency in Obese Pregnant Sudanese Women.
Abbas, Wisal; Adam, Ishag; Rayis, Duria A; Hassan, Nada G; Lutfi, Mohamed F
2017-06-15
To assess the association between obesity and iron deficiency (ID). Pregnant women were recruited from Saad Abualila Hospital, Khartoum, Sudan, during January-April 2015. Medical history (age, parity, gestational age) was gathered using questionnaire. Weight and height were measured, and body mass index (BMI) was calculated. Women were sub-grouped based on BMI into underweight (< 18.5 kg/m^2), normal weight (18.5-24.9 kg/m^2), overweight (25-29.9 kg/m^2) and obese (≥ 30 kg/m^2). Serum ferritin and red blood indices were measured in all studied women. Two (0.5%), 126 (29.8%), 224 (53.0%) and 71 (16.8%) out of the 423 women were underweight, normal weight, overweight and obese, respectively. Anemia (Hb <11 g/dl), ID (ferritin <15µg/l) and iron deficiency anemia (IDA) were prevalent in 57.7%, 21.3% and 12.1%, respectively. Compared with the women with normal BMI, significantly fewer obese women were anemic [25 (35.2%) vs. 108 (85.7%), P < 0.001] and significantly higher number of obese women [25 (35.2) vs. 22 (17.5, P = 0.015] had iron deficiency. Linear regression analysis demonstrated a significant negative association between serum ferritin and BMI (- 0.010 µg/, P= 0.006). It is evident from the current findings that prevalence of anaemia and ID showed different trends about BMI of pregnant women.
Guidone, Caterina; Gniuli, Donatella; Castagneto-Gissey, Lidia; Leccesi, Laura; Arrighi, Eugenio; Iaconelli, Amerigo; Mingrone, Geltrude
2012-04-01
Albuminuria, a chronic kidney and/or cardiovascular disease biomarker, is currently measured as albumin-to-creatinine ratio (ACR). We hypothesize that in severely obese individuals ACR might be abnormally low in spite of relatively high levels of urinary albumin due to increased creatininuria. One-hundred-eighty-four subjects were divided into tertiles based on their BMI. Fat-free mass (FFM) and fat-mass were assessed by DEXA; 24-h creatinine and albumin excretion, ACR, lipid profile and blood pressure were measured. Twenty-four-hour creatinine highly correlated (R = 0.75) with FFM. Since both creatininuria and albuminuria increased with the BMI, being the increase in creatininuria preponderant in subjects with BMI>35, their ratio (AC-ratio) did not change significantly from that of subjects in the lower BMI tertile. ACR only correlated with the systolic blood pressure, while both albuminuria and cretininuria correlated (P = 0.01) with the absolute 10-year CHD risk. In subjects with BMI>35, 100 mg of albumin excreted with urine increased the CHD risk of 2%. Albumin-to-creatinine ratio is underestimated in severely obese individuals as a consequence of the large creatininuria, which is proportional to the increased FFM. Therefore, at least in this population 24-h albuminuria should be more reliable than ACR. Copyright © 2011 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
Bone mineral density in relation to body mass index among young women: a prospective cohort study.
Elgán, Carina; Fridlund, Bengt
2006-08-01
To identify important predictors among lifestyle behaviours and physiological factors of bone mineral density (BMD) in relation to body mass index (BMI) among young women over a 2-year period. DESIGN, SAMPLE AND MEASUREMENTS: Data were collected in 1999 and 2001. Healthy young women (n=152) completed a questionnaire. BMD measurements were performed by DEXA in the calcaneus. The women were subdivided into three categories according to baseline BMI. Baseline bodyweight explained 25% of the variability in BMD at follow-up in the BMI<19 category, and high physical activity seemed to hinder BMD development. In the BMI>24 category, a difference in time spent outdoors during winter between baseline and follow-up was the single most important factor for BMD levels. Overweight women with periods of amenorrhoea had lower BMD than overweight women without such periods. Predictors and lifestyle behaviours associated with BMD are likely to be based on women of normal weight. BMI should be considered when advising on physical activity, since high physical activity seems to impair BMD development among underweight young women, possibly due to energy imbalance. Among overweight women, sleep satisfaction is the greatest predictor associated with BMD change and may indicate better bone formation conditions. Energy balance and sleep quality may be prerequisites of bone health and should be considered in prevention.
Bouguerra, R; Alberti, H; Smida, H; Salem, L B; Rayana, C B; El Atti, J; Achour, A; Gaigi, S; Slama, C B; Zouari, B; Alberti, K G M M
2007-11-01
Waist circumference (WC) is a convenient measure of abdominal adipose tissue. It itself is a cardiovascular disease (CVD) and diabetes-risk factor and is strongly linked to other CVD risk factors. There are, however, ethnic differences in the relationship of WC to the other risk factors. The aim of this study was to determine the optimal cut-off points of WC and body mass index (BMI) at which cardiovascular risk factors can be identified with maximum sensitivity and specificity in a representative sample of the Tunisian adult population and to investigate any correlation between WC and BMI. We used a sample of the Tunisian National Nutrition Survey, a cross-sectional population-based survey, conducted in 1996 on a large nationally representative sample, which included 3435 adults (1244 men and 2191 women) of 20 years or older. WC, BMI, blood pressure and fasting blood measurements (plasma glucose, total cholesterol, triglycerides) were recorded. Receiver operating characteristic (ROC) curve analysis was used to identify optimal cut-off values of WC and BMI to identify with maximum sensitivity and specificity the detection of high blood pressure, hyperglycaemia, high blood cholesterol and hypertriglyceridaemia. ROC curve analysis suggested WC cut-off points of 85 cm in men and 85 cm in women for the optimum detection of high blood pressure, diabetes and dyslipidaemia. The optimum BMI cut-off points for predicting cardiovascular risk factors were 24 kg/m(2) in men and 27 kg/m(2) in women. The cut-off points recommended for the Caucasian population differ from those appropriate for the Tunisian population. The data show a continuous increase in odds ratios of each cardiovascular risk factor, with increasing level of WC and BMI. WC exceeding 85 cm in men and 79 cm in women correctly identified subjects with a BMI of >/=25 kg/m(2), sensitivity of >90% and specificity of >83%. Based on the ROC analysis, we suggest a WC of 85 cm for both men and women as appropriate cut-off points to identify central obesity for the purposes of CVD and diabetes-risk detection among Tunisians. WCs of 85 cm in men and 79 cm in women were the most sensitive and specific to identify most subjects with a BMI >/=25 kg/m(2).
Niklowitz, Petra; Rothermel, Juliane; Lass, Nina; Barth, Andre; Reinehr, Thomas
2018-05-01
This study analyzed the relationships between bioactive leptin, conventionally measured leptin, and parameters of fat mass and distribution in obese children before and after weight reduction. We determined bioactive leptin (bioLep), conventional measured leptin (conLep), weight, height, body fat based on skinfold measurements and bioimpedance analyses, waist circumference (wc), and pubertal stage in 88 obese children participating in a lifestyle intervention at baseline and one year later. We identified no child with homozygous or heterozygous status for bioinactive leptin mutations. The baseline associations between bioLep and BMI (r = 0.53), BMI-SDS (r = 0.48), body fat (bioimpedance: r = 0.61, skinfold thickness: r = 0.49), wc (r = 0.42), and waist to height ratio (whr) (r = 0.39) were stronger than the associations between conLep and BMI (r = 0.50), BMI-SDS (r = 0.44), body fat (bioimpedance: r = 0.57, skinfold thickness: r = 0.41), wc (r = 0.41), and whr (r = 0.37). The changes of bioLep were stronger related to changes of BMI-SDS (r = 0.54), body fat (bioimpedance r = 0.59, skinfold thickness: r = 0.37), wc (r = 0.22), and whr (r = 0.21) than the associations between changes of conLep and changes of BMI-SDS (r = 0.48), body fat (bioimpedance: r = 0.56, skinfold thickness: r = 0.43), wc (r = 0.20), and whr (r = 0.20). The same findings were observed in multiple linear regression analyses adjusted to multiple confounders. In contrast to changes of conLep (r = 0.22), the changes of bioLep during intervention were not related to weight regain after the end of intervention. BioLep concentrations did not differ between prepubertal girls and boys, but were higher in pubertal girls compared to pubertal boys (p = 0.031). Bioactive leptin was stronger related to fat mass and distribution compared to conventionally measured leptin. Copyright © 2018 Elsevier B.V. All rights reserved.
Lobos Fernández, Luz Lorena; Leyton Dinamarca, Bárbara; Kain Bercovich, Juliana; Vio del Río, Fernando
2013-01-01
The aim of this study was to evaluate a comprehensive intervention in nutrition education and physical activity to prevent childhood obesity in primary school children of low socioeconomic status in Macul county in Chile, with a two year follow-up (2008 and 2009) of the children. The intervention consisted in teacher nutrition training in healthy eating and the implementation of educational material based on Chilean dietary guidelines. In addition, there was an increase in physical education classes to 3-4 hours per week and physical education teachers were recruited for that purpose. Weight, height and six minutes walk test (6MWT) were measured and body mass index (BMI), BMI Z score, prevalence of normal, overweight and obese children were calculated with WHO 2007reference. Changes between baseline and BMI Z in each period and 6MWT/height, and changes in nutrition knowledge through questionnaires were measured. There was no significant difference in BMI Z score between the initial and final periods and in the evolution of the nutritional status of children. Nutrition knowledge improved significantly between the two measurements. There was a significant increase in 6MWT/height (10 meters between baseline and follow-up, p < 0.001). We conclude that although there was an improvement in nutrition knowledge and physical fitness of children, there was a stabilization of BMI Z score in the period of the study. New educational interventions are required according to the reality of each community to obtain a positive impact to prevent childhood obesity in primary schools. Copyright © AULA MEDICA EDICIONES 2013. Published by AULA MEDICA. All rights reserved.
Castillo, Fiorella; Francis, Lori; Wylie-Rosett, Judith
2014-01-01
Abstract Background: Adolescence is a critical period for the development of depressive symptoms and obesity. This study examined the association of depressive symptoms with standardized BMI (BMI z-score), lifestyle behaviors, and self-efficacy measures in a sample of urban adolescents. Methods: A school-based study was conducted among adolescents (N=1508) enrolled from 11 public schools. Depressive symptoms were assessed with Kandel's depressive symptoms scale for adolescents. Fruit and vegetable intake and intake of energy-dense foods were assessed by a short food frequency questionnaire. Sedentary behavior and physical activity (PA) were obtained by self-report. Height and weight were measured directly and BMI z-scores were calculated. Mixed-effects models were used to examine the association of depressive symptoms with BMI z-score and lifestyle behaviors, accounting for clustering at school level and adjusting for confounders. Self-efficacy measures were evaluated as potential mediators. Results: The sample was 53% female, 75% Hispanic, and 82% US born, with a mean age of 13.9 years. Higher depressive symptoms were associated with higher BMI z-score (β=0.02; p=0.02), intake of energy-dense foods (β=0.42; p<0.001), and sedentary behavior (β=0.48; p<0.001), but lower PA (β=−0.03; p=0.01). There was an interaction by gender in the association of depressive symptoms and PA. Self-efficacy mediated the association of depressive symptoms and PA. Conclusions: Obesity prevention and treatment programs should consider addressing the role of negative emotions as part of their preventive strategies. PMID:25181530
Chen, Xiaoli; Wang, Rui; Lutsey, Pamela L; Zee, Phyllis C; Javaheri, Sogol; Alcántara, Carmela; Jackson, Chandra L; Szklo, Moyses; Punjabi, Naresh; Redline, Susan; Williams, Michelle A
2016-10-01
The objective of this study was to evaluate associations between obesity measures and sleep-disordered breathing severity among White, Black, Hispanic, and Chinese Americans. The method used in this study was a community-based cross-sectional study of 2053 racially/ethnically diverse adults in the Multi-Ethnic Study of Atherosclerosis. Anthropometry and polysomnography were used to measure obesity and apnea-hypopnea index (AHI). Linear regression models were fitted to investigate associations of body mass index (BMI) and waist circumference with AHI (log transformed) with adjustment for sociodemographics, lifestyle factors, and comorbidities. The mean participant age was 68.4 (range: 54-93) years; 53.6% of participants were women. The median AHI was 9.1 events/h. There were significant associations of BMI and waist circumference with AHI in the overall cohort and within each racial/ethnic group. A significant interaction was observed between race/ethnicity and BMI (P interaction = 0.017). Models predicted that for each unit increase in BMI (kg/m 2 ), the mean AHI increased by 19.7% for Chinese, 11.6% for Whites and Blacks, and 10.5% for Hispanics. Similarly, incremental changes in waist circumference were associated with larger increases in AHI among Chinese than among other groups. Associations of BMI and waist circumference with AHI were stronger among Chinese than among other racial/ethnic groups. These findings highlight a potential emergence of elevated sleep-disordered breathing prevalence occurring in association with increasing obesity in Asian populations. Copyright © 2015 Elsevier B.V. All rights reserved.
Childhood body mass index in adolescent-onset anorexia nervosa.
Berkowitz, Staci A; Witt, Ashley A; Gillberg, Christopher; Råstam, Maria; Wentz, Elisabet; Lowe, Michael R
2016-11-01
Although weight history is relevant in predicting eating disorder symptom severity, little is known about its role in the etiology of anorexia nervosa (AN). This study aimed to determine whether BMI or BMI trajectory differed between individuals who later developed adolescent-onset AN and a comparison group of HCs between school grades 1 through 6. This study was based on longitudinal data that identified 51 adolescents with AN and 51 matched HCs. Cases were identified through community screening in Sweden and included individuals born in 1969 through 1977. Measured weights and heights were retrieved and BMIs and weight trajectories of the AN and HC groups were compared using growth curve analysis. Main outcome measures included measured BMI and BMI trajectories from grades 1-6. Secondary outcomes examined included ponderal index at birth and maternal body weight. Individuals who later developed AN had higher BMIs than HCs between grades 1 and 6, by an average of 1.42 BMI-units. There was no difference in rate of weight gain between groups. Ponderal index at birth was higher for the AN as compared with HC group. Maternal weight did not differ significantly between groups. These findings, combined with those previously reported on the premorbid BMIs of those with bulimia nervosa, suggest that a predisposition toward elevated premorbid BMIs during childhood characterizes those who later develop anorexia or bulimia nervosa. These findings are consistent with a transdiagnostic perspective and suggest shared risk factors for AN and obesity. © 2016 Wiley Periodicals, Inc. (Int J Eat Disord 2016; 49:1002-1009). © 2016 Wiley Periodicals, Inc.
Hessler, Johannes Baltasar; Diedrich, Alice; Greetfeld, Martin; Schlegl, Sandra; Schwartz, Caroline; Voderholzer, Ulrich
2018-03-01
Fear of gaining weight is a common obstacle to seeking treatment for bulimia nervosa (BN). We investigated changes in body mass index (BMI) during inpatient treatment for BN in relation to treatment outcome and weight suppression (WS). Female inpatients of a specialized eating disorders clinic were grouped as deteriorated/unchanged, reliably improved, and clinically significantly improved based on Eating Disorder Inventory-2 scores. Repeated measures ANOVA was employed to examine changes in BMI between admission and discharge depending on treatment outcome and WS. One-hundred seventy-nine patients were included. Overall, the average BMI significantly increased by 0.54 kg/m 2 (SD = 1.24). Repeated measures ANOVA revealed no association of change in BMI with treatment outcome [F(df) = 1.13 (2166), p = 0.327] but with WS [F(df) = 2.76 (3166), p < 0.044]. Bulimia nervosa can be successfully treated without causing excessive weight gain. Patients with higher WS might expect somewhat more weight gain. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association.
Whole-grain intake is associated with body mass index in college students.
Rose, Nick; Hosig, Kathy; Davy, Brenda; Serrano, Elena; Davis, Linda
2007-01-01
To measure whole-grain intake in college students and determine the association with body mass index (BMI). Cross-sectional convenience sample of college students enrolled in an introductory nutrition course. Large state university. 159 college students, mean age: 19.9. Intake of whole grains, refined grains, calories, and fiber from food records; BMI determined from height and weight measurements. Analysis of variance with linear contrasts; participants grouped by BMI category (P<.05). Average intake of cereal grains was 5.4 servings per day, of which whole-grain intake accounted for an average of 0.7 servings per day. Whole-grain intake was significantly higher in normal weight students than in overweight and obese students (based on BMI). The low intake of whole grains in this population of college students indicates the need for interventions aiming to increase whole-grain intake to the recommended minimum of 3 servings per day. College students who are concerned about their body weight may be motivated to increase their intake of whole-grain foods; however, their intake of whole grains is likely to be influenced by the availability of these food items in campus dining halls and other locations around the college campus.
Heinrich, Katie M; Jitnarin, Nattinee; Suminski, Richard R; Berkel, LaVerne; Hunter, Christine M; Alvarez, Lisa; Brundige, Antionette R; Peterson, Alan L; Foreyt, John P; Haddock, C Keith; Poston, Walker S C
2008-01-01
The purpose of this study was to evaluate obesity classifications from body fat percentage (BF%), body mass index (BMI), and waist circumference (WC). A total of 451 overweight/obese active duty military personnel completed all three assessments. Most were obese (men, 81%; women, 98%) using National Institutes of Health (NIH) BF% standards (men, >25%; women, >30%). Using the higher World Health Organization (WHO) BF >35% standard, 86% of women were obese. BMI (55.5% and 51.4%) and WC (21.4% and 31.9%) obesity rates were substantially lower for men and women, respectively (p < 0.05). BMI/WC were accurate discriminators for BF% obesity (theta for all comparisons >0.75, p < 0.001). Optimal cutoff points were lower than NIH/WHO standards; WC = 100 cm and BMI = 29 maximized sensitivity and specificity for men, and WC = 79 cm and BMI = 25.5 (NIH) or WC = 83 cm and BMI = 26 (WHO) maximized sensitivity and specificity for women. Both WC and BMI measures had high rates of false negatives compared to BF%. However, at a population level, WC/BMI are useful obesity measures, demonstrating fair-to-high discriminatory power.
The Report Card on BMI Report Cards.
Thompson, Hannah R; Madsen, Kristine A
2017-06-01
Half of states in the USA have legislation requiring that schools conduct body mass index (BMI) screening among students; just under half of these states report results to parents. The effectiveness of school-based BMI screening and reporting in reducing childhood obesity is not established and the practice has raised concerns about the potential for increased weight-based stigmatization. Recent experimental studies of BMI screening and reporting have not demonstrated a positive impact on students' weight status. However, the language and formatting of BMI reports used in studies to date have been suboptimal and have likely limited the potential effectiveness of the practice. This article reviews the recent literature on school-based BMI screening and reporting and highlights important areas for future inquiry. The present review suggests that evidence to date is not sufficient to support definitive conclusions about the value of school-based BMI screening and reporting as a childhood obesity prevention tool.
McConnell, Rob; Shen, Ernest; Gilliland, Frank D; Jerrett, Michael; Wolch, Jennifer; Chang, Chih-Chieh; Lurmann, Frederick; Berhane, Kiros
2015-04-01
Childhood body mass index (BMI) and obesity prevalence have been associated with exposure to secondhand smoke (SHS), maternal smoking during pregnancy, and vehicular air pollution. There has been little previous study of joint BMI effects of air pollution and tobacco smoke exposure. Information on exposure to SHS and maternal smoking during pregnancy was collected on 3,318 participants at enrollment into the Southern California Children's Health Study. At study entry at average age of 10 years, residential near-roadway pollution exposure (NRP) was estimated based on a line source dispersion model accounting for traffic volume, proximity, and meteorology. Lifetime exposure to tobacco smoke was assessed by parent questionnaire. Associations with subsequent BMI growth trajectory based on annual measurements and attained BMI at 18 years of age were assessed using a multilevel modeling strategy. Maternal smoking during pregnancy was associated with estimated BMI growth over 8-year follow-up (0.72 kg/m2 higher; 95% CI: 0.14, 1.31) and attained BMI (1.14 kg/m2 higher; 95% CI: 0.66, 1.62). SHS exposure before enrollment was positively associated with BMI growth (0.81 kg/m2 higher; 95% CI: 0.36, 1.27) and attained BMI (1.23 kg/m2 higher; 95% CI: 0.86, 1.61). Growth and attained BMI increased with more smokers in the home. Compared with children without a history of SHS and NRP below the median, attained BMI was 0.80 kg/m2 higher (95% CI: 0.27, 1.32) with exposure to high NRP without SHS; 0.85 kg/m2 higher (95% CI: 0.43, 1.28) with low NRP and a history of SHS; and 2.15 kg/m2 higher (95% CI: 1.52, 2.77) with high NRP and a history of SHS (interaction p-value 0.007). These results suggest a synergistic effect. Our findings strengthen emerging evidence that exposure to tobacco smoke and NRP contribute to development of childhood obesity and suggest that combined exposures may have synergistic effects.
Jelenkovic, Aline; Yokoyama, Yoshie; Sund, Reijo; Pietiläinen, Kirsi H; Hur, Yoon-Mi; Willemsen, Gonneke; Bartels, Meike; van Beijsterveldt, Toos C E M; Ooki, Syuichi; Saudino, Kimberly J; Stazi, Maria A; Fagnani, Corrado; D'Ippolito, Cristina; Nelson, Tracy L; Whitfield, Keith E; Knafo-Noam, Ariel; Mankuta, David; Abramson, Lior; Heikkilä, Kauko; Cutler, Tessa L; Hopper, John L; Wardle, Jane; Llewellyn, Clare H; Fisher, Abigail; Corley, Robin P; Huibregtse, Brooke M; Derom, Catherine A; Vlietinck, Robert F; Loos, Ruth J F; Bjerregaard-Andersen, Morten; Beck-Nielsen, Henning; Sodemann, Morten; Tarnoki, Adam D; Tarnoki, David L; Burt, S Alexandra; Klump, Kelly L; Ordoñana, Juan R; Sánchez-Romera, Juan F; Colodro-Conde, Lucia; Dubois, Lise; Boivin, Michel; Brendgen, Mara; Dionne, Ginette; Vitaro, Frank; Harris, Jennifer R; Brandt, Ingunn; Nilsen, Thomas Sevenius; Craig, Jeffrey M; Saffery, Richard; Rasmussen, Finn; Tynelius, Per; Bayasgalan, Gombojav; Narandalai, Danshiitsoodol; Haworth, Claire M A; Plomin, Robert; Ji, Fuling; Ning, Feng; Pang, Zengchang; Rebato, Esther; Krueger, Robert F; McGue, Matt; Pahlen, Shandell; Boomsma, Dorret I; Sørensen, Thorkild I A; Kaprio, Jaakko; Silventoinen, Karri
2017-10-01
There is evidence that birthweight is positively associated with body mass index (BMI) in later life, but it remains unclear whether this is explained by genetic factors or the intrauterine environment. We analysed the association between birthweight and BMI from infancy to adulthood within twin pairs, which provides insights into the role of genetic and environmental individual-specific factors. This study is based on the data from 27 twin cohorts in 17 countries. The pooled data included 78 642 twin individuals (20 635 monozygotic and 18 686 same-sex dizygotic twin pairs) with information on birthweight and a total of 214 930 BMI measurements at ages ranging from 1 to 49 years. The association between birthweight and BMI was analysed at both the individual and within-pair levels using linear regression analyses. At the individual level, a 1-kg increase in birthweight was linearly associated with up to 0.9 kg/m2 higher BMI (P < 0.001). Within twin pairs, regression coefficients were generally greater (up to 1.2 kg/m2 per kg birthweight, P < 0.001) than those from the individual-level analyses. Intra-pair associations between birthweight and later BMI were similar in both zygosity groups and sexes and were lower in adulthood. These findings indicate that environmental factors unique to each individual have an important role in the positive association between birthweight and later BMI, at least until young adulthood. © The Author 2017. Published by Oxford University Press on behalf of the International Epidemiological Association
Mustelin, L; Silventoinen, K; Pietiläinen, K; Rissanen, A; Kaprio, J
2009-01-01
Both obesity and exercise behavior are influenced by genetic and environmental factors. However, whether obesity and physical inactivity share the same genetic vs environmental etiology has rarely been studied. We therefore analyzed these complex relationships, and also examined whether physical activity modifies the degree of genetic influence on body mass index (BMI) and waist circumference (WC). The FinnTwin16 Study is a population-based, longitudinal study of five consecutive birth cohorts (1975-1979) of Finnish twins. Data on height, weight, WC and physical activity of 4343 subjects at the average age of 25 (range, 22-27 years) years were obtained by a questionnaire and self-measurement of WC. Quantitative genetic analyses based on linear structural equations were carried out by the Mx statistical package. The modifying effect of physical activity on genetic and environmental influences was analyzed using gene-environment interaction models. The overall heritability estimates were 79% in males and 78% in females for BMI, 56 and 71% for WC and 55 and 54% for physical activity, respectively. There was an inverse relationship between physical activity and WC in males (r = -0.12) and females (r=-0.18), and between physical activity and BMI in females (r = -0.12). Physical activity significantly modified the heritability of BMI and WC, with a high level of physical activity decreasing the additive genetic component in BMI and WC. Physically active subjects were leaner than sedentary ones, and physical activity reduced the influence of genetic factors to develop high BMI and WC. This suggests that the individuals at greatest genetic risk for obesity would benefit the most from physical activity.
Measuring coronary calcium on CT images adjusted for attenuation differences.
Nelson, Jennifer Clark; Kronmal, Richard A; Carr, J Jeffrey; McNitt-Gray, Michael F; Wong, Nathan D; Loria, Catherine M; Goldin, Jonathan G; Williams, O Dale; Detrano, Robert
2005-05-01
To quantify scanner and participant variability in attenuation values for computed tomographic (CT) images assessed for coronary calcium and define a method for standardizing attenuation values and calibrating calcium measurements. Institutional review board approval and participant informed consent were obtained at all study sites. An image attenuation adjustment method involving the use of available calibration phantom data to define standard attenuation values was developed. The method was applied to images from two population-based multicenter studies: the Coronary Artery Risk Development in Young Adults study (3041 participants) and the Multi-Ethnic Study of Atherosclerosis (6814 participants). To quantify the variability in attenuation, analysis of variance techniques were used to compare the CT numbers of standardized torso phantom regions across study sites, and multivariate linear regression models of participant-specific calibration phantom attenuation values that included participant age, race, sex, body mass index (BMI), smoking status, and site as covariates were developed. To assess the effect of the calibration method on calcium measurements, Pearson correlation coefficients between unadjusted and attenuation-adjusted calcium measurements were computed. Multivariate models were used to examine the effect of sex, race, BMI, smoking status, unadjusted score, and site on Agatston score adjustments. Mean attenuation values (CT numbers) of a standard calibration phantom scanned beneath participants varied significantly according to scanner and participant BMI (P < .001 for both). Values were lowest for Siemens multi-detector row CT scanners (110.0 HU), followed by GE-Imatron electron-beam (116.0 HU) and GE LightSpeed multi-detector row scanners (121.5 HU). Values were also lower for morbidly obese (BMI, > or =40.0 kg/m(2)) participants (108.9 HU), followed by obese (BMI, 30.0-39.9 kg/m(2)) (114.8 HU), overweight (BMI, 25.0-29.9 kg/m(2)) (118.5 HU), and normal-weight or underweight (BMI, <25.0 kg/m(2)) (120.1 HU) participants. Agatston score calibration adjustments ranged from -650 to 1071 (mean, -8 +/- 50 [standard deviation]) and increased with Agatston score (P < .001). The direction and magnitude of adjustment varied significantly according to scanner and BMI (P < .001 for both) and were consistent with phantom attenuation results in that calibration resulted in score decreases for images with higher phantom attenuation values. Image attenuation values vary by scanner and participant body size, producing calcium score differences that are not due to true calcium burden disparities. Use of calibration phantoms to adjust attenuation values and calibrate calcium measurements in research studies and clinical practice may improve the comparability of such measurements between persons scanned with different scanners and within persons over time.
Effect of Treatment of Gestational Diabetes Mellitus on Obesity in the Next Generation
Gillman, Matthew W.; Oakey, Helena; Baghurst, Peter A.; Volkmer, Robert E.; Robinson, Jeffrey S.; Crowther, Caroline A.
2010-01-01
OBJECTIVE Gestational diabetes mellitus (GDM) may cause obesity in the offspring. The objective was to assess the effect of treatment for mild GDM on the BMI of 4- to 5-year-old children. RESEARCH DESIGN AND METHODS Participants were 199 mothers who participated in a randomized controlled trial of the treatment of mild GDM during pregnancy and their children. Trained nurses measured the height and weight of the children at preschool visits in a state-wide surveillance program in the state of South Australia. The main outcome measure was age- and sex-specific BMI Z score based on standards of the International Obesity Task Force. RESULTS At birth, prevalence of macrosomia (birth weight ≥4,000 g) was 5.3% among the 94 children whose mothers were in the intervention group, and 21.9% among the 105 children in the routine care control group. At 4- to 5-years-old, mean (SD) BMI Z score was 0.49 (1.20) in intervention children and 0.41 (1.40) among controls. The difference between treatment groups was 0.08 (95% CI −0.29 to 0.44), an estimate minimally changed by adjustment for maternal race, parity, age, and socio-economic index (0.08 [−0.29 to 0.45]). Evaluating BMI ≥85th percentile rather than continuous BMI Z score gave similarly null results. CONCLUSIONS Although treatment of GDM substantially reduced macrosomia at birth, it did not result in a change in BMI at age 4- to 5-years-old. PMID:20150300
Yamamoto, Takumi; Yamamoto, Nana; Yoshimatsu, Hidehiko
2017-10-01
Volume measurement is a common evaluation for upper extremity lymphedema. However, volume comparison between different patients with different body types may be inappropriate, and it is difficult to evaluate localized limb volume change using arm volume. Localized arm volumes (Vk, k = 1-5) and localized arm volume indices (LAVIk) at 5 points (1, upper arm; 2, elbow; 3, forearm; 4, wrist; 5, hand) of 106 arms of 53 examinees with no arm edema were calculated based on physical measurements (arm circumferences and lengths and body mass index [BMI]). Interrater and intrarater reliabilities of LAVIk were assessed, and Vk and LAVIk were compared between lower BMI (BMI, <22 kg/m) group and higher BMI (BMI, ≥22 kg/m) group. Interrater and intrarater reliabilities of LAVIk were all high (all, r > 0.98). Between lower and higher BMI groups, significant differences were observed in all Vk (V1 [P = 6.8 × 10], V2 [P = 3.1 × 10], V3 [P = 1.1 × 10], V4 [P = 8.3 × 10], and V5 [P = 3.0 × 10]). Regarding localized arm volume index (LAVI) between groups, significant differences were seen in LAVI1 (P = 9.7 × 10) and LAVI5 (P = 1.2 × 10); there was no significant difference in LAVI2 (P = 0.60), LAVI3 (P = 0.61), or LAVI4 (P = 0.22). Localized arm volume index is a convenient and highly reproducible method for evaluation of localized arm volume change, which is less affected by body physique compared with arm volumetry.
Pua, Yong-Hao; Lim, Cheng-Kuan; Ang, Adele
2006-11-01
To revisit cut-off values of BMI, waist circumference (WC), and waist-to-stature ratio (WSR) based on their association with cardiorespiratory fitness (CRF). The derived cut-off points were compared with current values (BMI, 25.0 kg/m(2); WC, 80 cm) as recommended by the World Health Organization. Anthropometric indices were measured in a cross sectional study of 358 Singaporean female employees of a large tertiary hospital (63% Singaporean Chinese, 28% Malays, and 9% Indians). CRF was determined by the 1-mile walk test. Receiver operating characteristic curves were constructed to determine cut-off points. The cut-off points for BMI, WC, and WSR were 23.6 kg/m(2), 75.3 cm, and 0.48, respectively. The areas under the curve of BMI, WC, and WSR were 0.68, 0.74, and 0.74, respectively. For a given BMI, women with low CRF had higher WSR compared with women with high CRF. These findings provide convergent evidence that the cut-off points for Singaporean women were lower than the World Health Organization's criteria but were in good agreement with those reported for Asians.
Alternative methods for measuring obesity in African American women.
Clark, Ashley E; Taylor, Jacquelyn Y; Wu, Chun Yi; Smith, Jennifer A
2013-03-01
The use of body mass index (BMI) may not be the most appropriate measurement tool in determining obesity in diverse populations. We studied a convenience sample of 108 African American (AA) women to determine the best method for measuring obesity in this at-risk population. The purpose of this study was to determine if percent body fat (PBF) and percent body water (PBW) could be used as alternatives to BMI in predicting obesity and risk for hypertension (HTN) among AA women. After accounting for age, BMI, and the use of anti-hypertensive medication, PBF (p = 0.0125) and PBW (p = 0.0297) were significantly associated with systolic blood pressure, while BMI was not. Likewise, PBF (p = 0.0316) was significantly associated with diastolic blood pressure, while PBW and BMI were not. Thus, health care practitioners should consider alternative anthropometric measurements such as PBF when assessing obesity in AA women.
Pétré, Benoit; Scheen, André J; Ziegler, Olivier; Donneau, Anne-Françoise; Dardenne, Nadia; Husson, Eddy; Albert, Adelin; Guillaume, Michèle
2016-01-01
Background and objective Despite the strength and consistency of the relationship between body mass index (BMI) and quality of life (QoL), a reduction in BMI does not necessarily lead to an improvement in QoL. Between-subject variability indicates the presence of mediators and moderators in the BMI–QoL association. This study aimed to examine the roles of body image discrepancy (BID) and subjective norm (SN) as potential mediators and moderators. Subjects and methods In 2012, 3,016 volunteers (aged ≥18 years) participated in a community-based survey conducted in the French-speaking region of Belgium. Participation was enhanced using a large multimedia campaign (which was supported by a large network of recruiters) that employed the nonstigmatizing slogan, “Whatever your weight, your opinion will count”. Participants were invited to complete a web-based questionnaire on their weight-related experiences. Self-reported measures were used to calculate each participant’s BMI, BID, SN, and QoL (a French obesity-specific QoL questionnaire was used to calculate the participants’ physical dimension of QoL scores [PHY-QoL], psychosocial dimension of QoL scores [PSY/SOC-QoL], and their total scores). The covariates included gender, age, subjective economic status, level of education, household size, and perceived health. The mediation/moderation tests were based on Hayes’ method. Results Tests showed that the relationships between BMI and PHY-QoL, PSY/SOC-QoL, and TOT-QoL were partially mediated by BID in both males and females and by SN in females. Moreover, BID was a moderator of the relationship between BMI and PSY/SOC-QoL in males and females. SN was a moderator of the relationship between BMI and PSY/SOC-QoL in males and between BMI and total scores in males (when used without BID in the models). Conclusion BID and SN should be considered as important factors in obesity management strategies. The study shows that targeting BMI only is not sufficient to improve the QoL of overweight and obese subjects, and that other variables, including perceptual factors, should be considered. PMID:27853356
Staub, Kaspar; Henneberg, Maciej; Galassi, Francesco M; Eppenberger, Patrick; Haeusler, Martin; Morozova, Irina; Rühli, Frank J; Bender, Nicole
2018-01-01
Abstract Background and objectives The body mass index (BMI) is an established anthropometric index for the development of obesity-related conditions. However, little is known about the distribution of BMI within a population, especially about this distribution’s temporal change. Here, we analysed changes in the distribution of height, weight and BMI over the past 140 years based on data of Swiss conscripts and tested for correlations between anthropometric data and standard blood parameters. Methods Height and weight were measured in 59 504 young Swiss males aged 18–19 years during conscription in 1875–79, 1932–36, 1994 and 2010–12. For 65% of conscripts in 2010–12, results of standard blood analysis were available. We calculated descriptive statistics of the distribution of height, weight and BMI over the four time periods and tested for associations between BMI and metabolic parameters. Results Average and median body height, body weight and BMI increased over time. Height did no longer increase between 1994 and 2010–12, while weight and BMI still increased over these two decades. Variability ranges of weight and BMI increased over time, while variation of body height remained constant. Elevated levels of metabolic and inflammatory blood parameters were found at both ends of BMI distribution. Conclusions and implications Both overweight and underweight subgroups showed similar changes in inflammation parameters, pointing toward related metabolic deficiencies in both conditions. In addition to environmental influences, our results indicate a potential role of relaxed natural selection on genes affecting metabolism and body composition.
Kim, Na Young; Hong, Young Mi; Jung, Jo Won; Kim, Nam Su; Noh, Chung Il; Song, Young-Hwan
2013-12-01
Obesity is an important risk factor for hypertension in adolescents. We investigated the relationship of obesity-related indices (body mass index [BMI], waist-to-height ratio [WHR], and body fat percentage [%BF]) with blood pressure and the hemodynamic determinants of blood pressure in Korean adolescents. In 2008, 565 adolescents, aged 12-16 years, were examined. The %BF of the participants was measured by bioelectrical impedance analysis. Echocardiography and brachial artery pulse tracing were used to estimate the stroke volume (SV), cardiac output (CO), total vascular resistance (TVR), and total arterial compliance (TAC). We noted that BMI, WHR, and %BF were positively correlated with systolic blood pressure (SBP) and diastolic blood pressure (DBP). The positive correlation between BMI and blood pressure (SBP and DBP) persisted after adjustment for WHR and %BF. However, after adjustment for BMI, the positive associations between blood pressure (SBP and DBP) and WHR as well as %BF, were not noted. With regard to the hemodynamic factors, BMI, but not WHR and %BF, was an independent positive factor correlated with SV and CO. TVR had an independent negative association with BMI; however, it was not associated with WHR or %BF. Moreover, we noted that BMI, WHR, and %BF did not affect TAC. In Korean adolescents, BMI had an independent positive correlation with SBP and DBP, possibly because of its effects on SV, CO, and TVR. WHR and %BF are believed to indirectly affect SBP and DBP through changes in BMI.
Parental body mass index is associated with adolescent overweight and obesity in Mashhad, Iran.
Shafaghi, Khosro; Shariff, Zalilah Mohd; Taib, Mohd Nasir Mohd; Rahman, Hejar Abdul; Mobarhan, Majid Ghayour; Jabbari, Hadi
2014-01-01
This cross-sectional study was carried out to determine the prevalence of overweight and obesity among secondary school children aged 12 to 14 years in the city of Mashhad, Iran and its association with parental body mass index. A total of 1189 secondary school children (579 males and 610 females) aged 12- 14 years old were selected through a stratified multistage random sampling. All adolescents were measured for weight and height. Household socio-demographic information and parental weight and height were self-reported by parents. Adolescents were classified as overweight or obese based on BMI-for age Z-score. Multivariable logistic Regression (MLR) determined the relationship between parental BMI and adolescent overweight and obesity. The overall prevalence of overweight and obesity among secondary school children in Mashhad was 17.2% and 11.9%, respectively. A higher proportion of male (30.7%) than female (27.4%) children were overweight or obese. BMI of the children was significantly related to parental BMI (p<0.001), gender (p= 0.02), birth order (p<0.01), parents' education level (p<0.001), father's employment status (p<0.001), and family income (p<0.001). MLR showed that the father's BMI was significantly associated with male BMI (OR: 2.02) and female BMI (OR: 1.59), whereas the mother's BMI was significantly associated with female BMI only (OR: 0.514). The high prevalence of overweight/obesity among the research population compared with previous studies in Iran could be related to the changing lifestyle of the population. The strong relationship with parental BMI was probably related to a combination of genetic and lifestyle factors. Strategies to address childhood obesity should consider the interaction of these factors.
Watkins, Christopher D
2017-11-01
While facial cues to body size are a valid guide to health and attractiveness, it is unclear whether the observer's own condition predicts the salience of (low) size as a cue to female attractiveness. The current study examines whether measures related to women's own attractiveness/appearance predict the extent to which they use facial cues to size to differentiate other women on the attractiveness dimension. Women completed a body mass index (BMI) preference task, where they indicated their preference for high- versus low-BMI versions of the same woman, provided data to calculate their BMI and completed various psychometric measures (self-rated attractiveness/health, dissatisfaction with physical appearance). Here, attractive women and women who were dissatisfied with their own appearance were more likely to associate facial cues to low body size with high attractiveness. These data suggest that psychological factors related to women's appearance shape their evaluations of other women based on cues to size. Such variation in attractiveness judgements may function to reduce the costs of female competition for resources, for example, by identifying "quality" rivals or excluding others based on cues to size.
Gibson, C D; Atalayer, D; Flancbaum, L; Geliebter, A
2012-01-01
OBJECTIVE: Body Adiposity Index (BAI), a new surrogate measure of body fat (hip circumference/[height 1.5-18]), has been proposed as a more accurate alternative to BMI. We compared BAI with BMI and their correlations with measures of body fat, waist circumference (WC), and indirect indices of fat pre- and post-Roux-en-Y gastric bypass (RYGB). METHODS: Sixteen clinically severe obese (CSO) non-diabetic women (age = 33.9± 7.9 SD; BMI = 46.5±9.5 kg/m(2)) were assessed pre-surgery, and at 2 (n=9) and 5 mo (n=8) post-surgery. Body fat percentage (% fat) was estimated with bioimpedance analysis (BIA), air displacement plethysmography (ADP), and dual-energy x-ray absorptiometry (DXA). WC, an indicator of central fat, and both plasma leptin (ng/ml) and insulin (mU/l) concentrations were measured as indirect body fat indices. Pre- and post-surgery values were analyzed with Pearson correlations and linear regressions. RESULTS: BAI and BMI correlated significantly with each other pre-surgery and at each time point post surgery. BAI and BMI also correlated significantly with % fat from BIA and ADP; however, only BMI correlated significantly with % fat from DXA pre- and post-RYGB. BMI was the single best predictor of WC and leptin at 2 and 5 mo post-surgery and had significant longitudinal changes correlating with % fat from BIA and DXA as well as with leptin. DISCUSSION: Both BAI and BMI were good surrogates of % fat as estimated from BIA and ADP, but only BMI was a good surrogate of % fat from DXA in CSO women. Thus, BAI may not be a better alternative to BMI.
Exercise mitigates cumulative associations between stress and BMI in girls age 10 to 19.
Puterman, Eli; Prather, Aric A; Epel, Elissa S; Loharuka, Sheila; Adler, Nancy E; Laraia, Barbara; Tomiyama, A Janet
2016-02-01
Long-term psychological stress is associated with BMI increases in children as they transition to adulthood, whereas long-term maintenance of physical activity can slow excess weight gain. We hypothesized that in addition to these main effects, long-term physical activity mitigates the relationship between long-term stress and BMI increase. The NHLBI Growth and Health Study enrolled 2,379 10-year-old Black and White girls, following them annually for 10 measurement points. Growth curve modeling captured the dynamics of BMI, measured yearly, and stress and physical activity, measured at varying years. At average levels of activity and stress, with all covariates remaining fixed, average BMI at baseline was 19.74 (SE = 0.38) and increased 0.64 BMI (SE = 0.01, p < .001) units every year. However, this increase in BMI significantly varied as a function of cumulative stress and physical activity. Slower BMI gain occurred in those girls who were less stressed and more active (0.62 BMI units/year, SE = .02, p < .001), whereas the most rapid and largest growth occurred in girls who were more stressed and less active (0.92 BMI units/year, SE = .02, p < .001). Racial identification did not alter these effects. As hypothesized, in girls who maintained long-term activity, BMI growth was mitigated, even when reporting high long-term stress, compared with less physically active girls. This study adds to a converging literature in which physical activity, a modifiable prevention target, functions to potentially limit the damaging health effects of long-term psychological stress. (c) 2016 APA, all rights reserved).
Exercise mitigates cumulative associations between stress and BMI in girls age 10–19
Prather, Aric A.; Epel, Elissa S.; Loharuka, Sheila; Adler, Nancy E.; Laraia, Barbara
2015-01-01
Objective Long-term psychological stress is associated with BMI increases in children as they transition to adulthood, while long-term maintenance of physical activity can slow excess weight gain. We hypothesized that in addition to these main effects, long-term physical activity mitigates the relationship between long-term stress and BMI increase. Methods The NHLBI Growth and Health Study enrolled 2,379 10-year-old Black and White girls, following them annually for 10 measurement points. Growth curve modeling captured the dynamics of BMI, measured yearly, and stress and physical activity, measured every other year. Results At average levels of activity and stress, with all covariates remaining fixed, average BMI at baseline was 19.74 (SE = 0.38) and increased 0.64 BMI (SE= 0.01, p < .001) units every year. However, this increase in BMI significantly varied as a function of cumulative stress and physical activity. Slower BMI gain occurred in those girls who were less stressed and more active (0.62 BMI units/year, SE= .02, p < .001), whereas the most rapid and largest growth occurred in girls who were the more stressed and less active (0.92 BMI units/year, SE= .02, p < .001). Racial identification did not alter these effects. Conclusions As hypothesized, in girls who maintained long-term activity, BMI growth was mitigated, even when reporting high long-term stress, compared to less physically active girls. This study adds to a converging literature in which physical activity, a modifiable prevention target, functions to potentially limit the damaging health effects of long-term psychological stress. PMID:26301595
Birmann, Brenda M; Andreotti, Gabriella; De Roos, Anneclaire J; Camp, Nicola J; Chiu, Brian C H; Spinelli, John J; Becker, Nikolaus; Benhaim-Luzon, Véronique; Bhatti, Parveen; Boffetta, Paolo; Brennan, Paul; Brown, Elizabeth E; Cocco, Pierluigi; Costas, Laura; Cozen, Wendy; de Sanjosé, Silvia; Foretová, Lenka; Giles, Graham G; Maynadié, Marc; Moysich, Kirsten; Nieters, Alexandra; Staines, Anthony; Tricot, Guido; Weisenburger, Dennis; Zhang, Yawei; Baris, Dalsu; Purdue, Mark P
2017-06-01
Background: Multiple myeloma risk increases with higher adult body mass index (BMI). Emerging evidence also supports an association of young adult BMI with multiple myeloma. We undertook a pooled analysis of eight case-control studies to further evaluate anthropometric multiple myeloma risk factors, including young adult BMI. Methods: We conducted multivariable logistic regression analysis of usual adult anthropometric measures of 2,318 multiple myeloma cases and 9,609 controls, and of young adult BMI (age 25 or 30 years) for 1,164 cases and 3,629 controls. Results: In the pooled sample, multiple myeloma risk was positively associated with usual adult BMI; risk increased 9% per 5-kg/m 2 increase in BMI [OR, 1.09; 95% confidence interval (CI), 1.04-1.14; P = 0.007]. We observed significant heterogeneity by study design ( P = 0.04), noting the BMI-multiple myeloma association only for population-based studies ( P trend = 0.0003). Young adult BMI was also positively associated with multiple myeloma (per 5-kg/m 2 ; OR, 1.2; 95% CI, 1.1-1.3; P = 0.0002). Furthermore, we observed strong evidence of interaction between younger and usual adult BMI ( P interaction <0.0001); we noted statistically significant associations with multiple myeloma for persons overweight (25-<30 kg/m 2 ) or obese (30+ kg/m 2 ) in both younger and usual adulthood (vs. individuals consistently <25 kg/m 2 ), but not for those overweight or obese at only one time period. Conclusions: BMI-associated increases in multiple myeloma risk were highest for individuals who were overweight or obese throughout adulthood. Impact: These findings provide the strongest evidence to date that earlier and later adult BMI may increase multiple myeloma risk and suggest that healthy BMI maintenance throughout life may confer an added benefit of multiple myeloma prevention. Cancer Epidemiol Biomarkers Prev; 26(6); 876-85. ©2017 AACR . ©2017 American Association for Cancer Research.
Mendall, Michael; Harpsøe, Maria Christina; Kumar, Devinder; Andersson, Mikael; Jess, Tine
2018-01-01
Crohn's disease (CD) has traditionally been associated with weight loss and low BMI, yet paradoxically obesity has recently been suggested as a risk factor for CD, but not for ulcerative colitis (UC). We therefore hypothesized that the relation between BMI and CD is U shaped. To conduct a large population-based prospective cohort study of BMI and later risk of IBD, taking age at IBD diagnosis into account. A cohort of 74,512 women from the Danish National Birth Cohort, with BMI measured pre-pregnancy and 18 months after delivery, was followed for 1,022,250 person-years for development of IBD, according to the Danish National Patient Register. Associations were tested by Cox regression. Overweight subjects (25≤BMI<30 kg/m2) had the lowest risk of CD, whereas obesity (BMI≥30kg/m2) increased the risk of CD at all ages, and low BMI (BMI<18.5kg/m2) associated with CD diagnosed at age 18-<40 years. Hence, using normal weight subjects as the reference, adjusted HRs for risk of developing CD (at age 18-<40 years) were 1.8(95%CI, 0.9-3.7) for underweight, 0.6(0.3-1.2) for overweight, and 1.5(0.8-2.7) for obese individuals (pre-pregnancy BMI). HRs were greater for BMI determined 18 months after delivery. Splines for CD risk according to waist:height ratio confirmed a U-shaped relationship with CD occurring <40 years, and a linear relationship with CD diagnosed at age 40+. There was no relationship between BMI and risk of UC. For the first time, we demonstrate that both high BMI and low BMI are risk factors for CD. Underweight may be a pre-clinical manifestation of disease being present many years before onset with obesity being a true risk factor. This raises the question as to whether there may be two distinct forms of CD.
Painter, Jodie N; O'Mara, Tracy A; Marquart, Louise; Webb, Penelope M; Attia, John; Medland, Sarah E; Cheng, Timothy; Dennis, Joe; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley V; Beckmann, Matthias W; Ekici, Arif B; Fasching, Peter A; Hein, Alexander; Rübner, Matthias; Czene, Kamila; Darabi, Hatef; Hall, Per; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo B; Amant, Frederic; Annibali, Daniela; Depreeuw, Jeroen; Lambrechts, Diether; Neven, Patrick; Cunningham, Julie M; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica M J; Ashton, Katie A; Otton, Geoffrey; Proietto, Anthony; Mints, Miriam; Tham, Emma; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Pharoah, Paul D P; Tomlinson, Ian; Dunning, Alison M; Easton, Douglas F; Thompson, Deborah J; Spurdle, Amanda B
2016-11-01
The strongest known risk factor for endometrial cancer is obesity. To determine whether SNPs associated with increased body mass index (BMI) or waist-hip ratio (WHR) are associated with endometrial cancer risk, independent of measured BMI, we investigated relationships between 77 BMI and 47 WHR SNPs and endometrial cancer in 6,609 cases and 37,926 country-matched controls. Logistic regression analysis and fixed effects meta-analysis were used to test for associations between endometrial cancer risk and (i) individual BMI or WHR SNPs, (ii) a combined weighted genetic risk score (wGRS) for BMI or WHR. Causality of BMI for endometrial cancer was assessed using Mendelian randomization, with BMIwGRS as instrumental variable. The BMIwGRS was significantly associated with endometrial cancer risk (P = 3.4 × 10 -17 ). Scaling the effect of the BMIwGRS on endometrial cancer risk by its effect on BMI, the endometrial cancer OR per 5 kg/m 2 of genetically predicted BMI was 2.06 [95% confidence interval (CI), 1.89-2.21], larger than the observed effect of BMI on endometrial cancer risk (OR = 1.55; 95% CI, 1.44-1.68, per 5 kg/m 2 ). The association attenuated but remained significant after adjusting for BMI (OR = 1.22; 95% CI, 1.10-1.39; P = 5.3 × 10 -4 ). There was evidence of directional pleiotropy (P = 1.5 × 10 -4 ). BMI SNP rs2075650 was associated with endometrial cancer at study-wide significance (P < 4.0 × 10 -4 ), independent of BMI. Endometrial cancer was not significantly associated with individual WHR SNPs or the WHRwGRS. BMI, but not WHR, is causally associated with endometrial cancer risk, with evidence that some BMI-associated SNPs alter endometrial cancer risk via mechanisms other than measurable BMI. The causal association between BMI SNPs and endometrial cancer has possible implications for endometrial cancer risk modeling. Cancer Epidemiol Biomarkers Prev; 25(11); 1503-10. ©2016 AACR. ©2016 American Association for Cancer Research.
Chen, Lei; Peeters, Anna; Magliano, Dianna J; Shaw, Jonathan E; Welborn, Timothy A; Wolfe, Rory; Zimmet, Paul Z; Tonkin, Andrew M
2007-12-01
Framingham risk functions are widely used for prediction of future cardiovascular disease events. They do not, however, include anthropometric measures of overweight or obesity, now considered a major cardiovascular disease risk factor. We aimed to establish the most appropriate anthropometric index and its optimal cutoff point for use as an ancillary measure in clinical practice when identifying people with increased absolute cardiovascular risk estimates. Analysis of a population-based, cross-sectional survey was carried out. The 1991 Framingham prediction equations were used to compute 5 and 10-year risks of cardiovascular or coronary heart disease in 7191 participants from the Australian Diabetes, Obesity and Lifestyle Study (1999-2000). Receiver operating characteristic curve analysis was used to compare measures of body mass index (BMI), waist circumference, and waist-to-hip ratio in identifying participants estimated to be at 'high', or at 'intermediate or high' absolute risk. After adjustment for BMI and age, waist-to-hip ratio showed stronger correlation with absolute risk estimates than waist circumference. The areas under the receiver operating characteristic curve for waist-to-hip ratio (0.67-0.70 in men, 0.64-0.74 in women) were greater than those for waist circumference (0.60-0.65, 0.59-0.71) or BMI (0.52-0.59, 0.53-0.66). The optimal cutoff points of BMI, waist circumference and waist-to-hip ratio to predict people at 'high', or at 'intermediate or high' absolute risk estimates were 26 kg/m2, 95 cm and 0.90 in men, and 25-26 kg/m2, 80-85 cm and 0.80 in women, respectively. Measurement of waist-to-hip ratio is more useful than BMI or waist circumference in the identification of individuals estimated to be at increased risk for future primary cardiovascular events.
Banik, Sudip Datta; Ghosh, Mihir; Bose, Kaushik
2016-11-01
Anthropometric and body frame size parameters (ABFSP) are used to interpret body mass and to evaluate nutritional status. Objective of the present study was to investigate the interrelationships between ABFSP, percentage body fat (BF%) and body mass index (BMI). The study was carried out in a sample of 141 adult Bengalee healthy male brick-kiln workers (age range 18-59 years) from Murshidabad district in West Bengal, India. Body weight was recorded; anthropometric measurements included height, breadth (elbow, wrist, hand, foot, ankle, knee), circumferences (mid-upper arm, chest, waist, hip, thigh, medial calf) and skinfolds (biceps, triceps, subscapular, suprailiac). Derived ABFSP included sum of breadth and circumferences, frame index, BMI, BF%, sum of skinfolds, ratio of central and peripheral skinfolds, arm muscle area, arm muscle circumference, arm fat area and brachial adipo-muscular ratio. Correlations (age-controlled) between ABFSP, BMI and BF% were highly significant ( p < 0.001). The ABFSP and BF% varied significantly ( p < 0.0001) in relation to BMI-based nutritional status (BNS). Multinomial logistic regression analysis (age-adjusted) showed ABFSP had statistically significant ( p < 0.01) relationships with BNS. There were strong interrelationships between ABFSP, BMI and BF% independent of age. The ABFSP in individuals with normal BMI, suffering from undernutrition (low BMI) or overweight are different.
The Fit Family Challenge: A Primary Care Childhood Obesity Pilot Intervention.
Jortberg, Bonnie T; Rosen, Raquel; Roth, Sarah; Casias, Luke; Dickinson, L Miriam; Coombs, Letoynia; Awadallah, Nida S; Bernardy, Meaghann K; Dickinson, W Perry
2016-01-01
Childhood obesity has increased dramatically over several decades, and the American Academy of Pediatrics has recommended primary care practices as ideal sites for the identification, education, and implementation of therapeutic interventions. The objective of this study was to describe the implementation and results for the Fit Family Challenge (FFC), a primary care-based childhood obesity intervention. A single-intervention pilot project that trains primary care practices on childhood obesity guidelines and implementation of a family-focused behavior modification curriculum. A total of 29 family medicine and pediatric community practices in Colorado participated. Participants included 290 patients, aged 6 to 12 years, with a body mass index (BMI) above the 85th percentile. The main outcome measure included the feasibility of implementation of a childhood obesity program in primary care; secondary outcomes were changes in BMI percentile, BMI z-scores, blood pressure, and changes in lifestyle factors related to childhood obesity. Implementation of FFC is feasible, statically significant changes were seen for decreases in BMI percentile and BMI z-scores for participants who completed 9 to 15 months of follow-up; lifestyle factors related to childhood obesity in proved Spanish-speaking families and food insecurity were associated with less follow-up time (P < .01). A primary care-based childhood obesity intervention may result in significant clinical and lifestyle changes. © Copyright 2016 by the American Board of Family Medicine.
Energy expenditure and enjoyment of common children's games in a simulated free-play environment.
Howe, Cheryl A; Freedson, Patty S; Feldman, Henry A; Osganian, Stavroula K
2010-12-01
To measure the energy expenditure and enjoyment of children's games to be used in developing a school-based intervention for preventing excessive weight gain. Healthy weight (body mass index [BMI] < 85th percentile) and overweight or obese (BMI ≥ 85th percentile) third-grade children (15 boys; 13 girls) were recruited. In a large gymnasium, children performed 10 games randomly selected from 30 games used in previous interventions. Total energy expenditure was measured with a portable metabolic unit and perceived enjoyment was assessed using a 9-point Likert scale of facial expressions. Mean physical activity energy expenditure (PAEE = total energy expenditure minus resting metabolism) and enjoyment of the games were adjusted for sex and BMI classification. PAEE and enjoyment were compared using a repeated-measures ANOVA with sex, BMI classification, and games as main effects. The games elicited a moderate intensity effort (mean ± standard deviation = 5.0 ± 1.3 metabolic equivalents, 123 ± 36 kcal/30 min). PAEE was higher for boys than for girls (0.12 ± 0.04 versus 0.11 ± 0.04 kcal/kg/min) and for healthy weight compared with overweight children (0.13 ± 0.04 versus 0.11 ± 0.03 kcal/kg/min). Twenty-two of the 30 games elicited a sufficiently high PAEE (≥ 100 kcal/30 min) and enjoyment (≥ neutral expression) for inclusion in future school-based interventions. Not all children's games are perceived as enjoyable or resulted in an energy expenditure that was sufficiently high for inclusion in future physical activity interventions to prevent the excess weight gain associated with childhood obesity. Copyright © 2010 Mosby, Inc. All rights reserved.
Body Mass Index Measurement in Schools
ERIC Educational Resources Information Center
Nihiser, Allison J.; Lee, Sarah M.; Wechsler, Howell; McKenna, Mary; Odom, Erica; Reinold, Chris; Thompson, Diane; Grummer-Strawn, Larry
2007-01-01
Background: School-based body mass index (BMI) measurement has attracted much attention across the nation from researchers, school officials, legislators, and the media as a potential approach to address obesity among youth. Methods: An expert panel, convened by the Centers for Disease Control and Prevention (CDC) in 2005, reviewed and provided…
Effects of a Family-Based Childhood Obesity Treatment Program on Parental Weight Status.
Trier, Cæcilie; Dahl, Maria; Stjernholm, Theresa; Nielsen, Tenna R H; Bøjsøe, Christine; Fonvig, Cilius E; Pedersen, Oluf; Hansen, Torben; Holm, Jens-Christian
2016-01-01
The aim of this study was to investigate the prevalence of overweight/obesity among parents of children entering childhood obesity treatment and to evaluate changes in the parents' weight statuses during their child's treatment. The study included parents of 1,125 children and adolescents aged 3-22 years, who were enrolled in a multidisciplinary childhood obesity treatment program. At baseline, weight and height of the parents were obtained by self-reported information and parental body mass index (BMI) was calculated. Weight and height of the children were measured in the clinic and BMI standard deviation scores were calculated. Furthermore, anthropometric data from parents of 664 children were obtained by telephone interview after a mean of 2.5 years of treatment (ranging 16 days to 7 years), and changes in parental BMI were analyzed. Data on changes in BMI were available in 606 mothers and 479 fathers. At baseline, the median BMI of the mothers was 28.1 kg/m2 (range: 16.9-66.6), and the median BMI of the fathers was 28.9 kg/m2 (range: 17.2-48.1). Seventy percent of the mothers and 80% of the fathers were overweight or obese at the time of their child's treatment initiation. Both the mothers and fathers lost weight during their child's treatment with a mean decrease in BMI in the mothers of 0.5 (95% CI: 0.2-0.8, p = 0.0006) and in the fathers of 0.4 (95% CI: 0.2-0.6, p = 0.0007). Of the overweight/obese parents, 60% of the mothers and 58% of the fathers lost weight during their child's treatment. There is a high prevalence of overweight/obesity among parents of children entering childhood obesity treatment. Family-based childhood obesity treatment with a focus on the child has a positive effect on parental BMI with both mothers and fathers losing weight. ClinicalTrials.gov NCT00928473.
Cheong, Kee C; Ghazali, Sumarni M; Hock, Lim K; Subenthiran, Soobitha; Huey, Teh C; Kuay, Lim K; Mustapha, Feisul I; Yusoff, Ahmad F; Mustafa, Amal N
2015-01-01
Many studies have suggested that there is variation in the capabilities of BMI, WC and WHR in predicting cardiometabolic risk and that it might be confounded by gender, ethnicity and age group. The objective of this study is to examine the discriminative abilities of body mass index (BMI), waist circumference (WC) and waist-hip ratio (WHR) to predict two or more non-adipose components of the metabolic syndrome (high blood pressure, hypertriglyceridemia, low high density lipoprotein-cholesterol and high fasting plasma glucose) among the adult Malaysian population by gender, age group and ethnicity. Data from 2572 respondents (1044 men and 1528 women) aged 25-64 years who participated in the Non Communicable Disease Surveillance 2005/2006, a population-based cross sectional study, were analysed. Participants' socio-demographic details, anthropometric indices (BMI, WC and WHR), blood pressure, fasting lipid profile and fasting glucose level were assessed. Receiver operating characteristics curves analysis was used to evaluate the ability of each anthropometric index to discriminate MetS cases from non-MetS cases based on the area under the curve. Overall, WC had better discriminative ability than WHR for women but did not perform significantly better than BMI in both sexes, whereas BMI was better than WHR in women only. Waist circumference was a better discriminator of MetS compared to WHR in Malay men and women. Waist circumference and BMI performed better than WHR in Chinese women, men aged 25-34 years and women aged 35-44 years. The discriminative ability of BMI and WC is better than WHR for predicting two or more non-adipose components of MetS. Therefore, either BMI or WC measurements are recommended in screening for metabolic syndrome in routine clinical practice in the effort to combat cardiovascular disease and type II diabetes mellitus. Copyright © 2015 Diabetes India. Published by Elsevier Ltd. All rights reserved.
Van Hulst, Andraea; Roy-Gagnon, Marie-Hélène; Gauvin, Lise; Kestens, Yan; Henderson, Mélanie; Barnett, Tracie A
2015-02-15
Few studies consider how risk factors within multiple levels of influence operate synergistically to determine childhood obesity. We used recursive partitioning analysis to identify unique combinations of individual, familial, and neighborhood factors that best predict obesity in children, and tested whether these predict 2-year changes in body mass index (BMI). Data were collected in 2005-2008 and in 2008-2011 for 512 Quebec youth (8-10 years at baseline) with a history of parental obesity (QUALITY study). CDC age- and sex-specific BMI percentiles were computed and children were considered obese if their BMI was ≥95th percentile. Individual (physical activity and sugar-sweetened beverage intake), familial (household socioeconomic status and measures of parental obesity including both BMI and waist circumference), and neighborhood (disadvantage, prestige, and presence of parks, convenience stores, and fast food restaurants) factors were examined. Recursive partitioning, a method that generates a classification tree predicting obesity based on combined exposure to a series of variables, was used. Associations between resulting varying risk group membership and BMI percentile at baseline and 2-year follow up were examined using linear regression. Recursive partitioning yielded 7 subgroups with a prevalence of obesity equal to 8%, 11%, 26%, 28%, 41%, 60%, and 63%, respectively. The 2 highest risk subgroups comprised i) children not meeting physical activity guidelines, with at least one BMI-defined obese parent and 2 abdominally obese parents, living in disadvantaged neighborhoods without parks and, ii) children with these characteristics, except with access to ≥1 park and with access to ≥1 convenience store. Group membership was strongly associated with BMI at baseline, but did not systematically predict change in BMI. Findings support the notion that obesity is predicted by multiple factors in different settings and provide some indications of potentially obesogenic environments. Alternate group definitions as well as longer duration of follow up should be investigated to predict change in obesity.
State-mandated school-based BMI screening and parent notification: a descriptive case study.
Kaczmarski, Jenna M; DeBate, Rita D; Marhefka, Stephanie L; Daley, Ellen M
2011-11-01
To address childhood obesity, several states and local school districts across the United States have adopted body mass index (BMI) measurement initiatives. This descriptive case study explored psychosocial, environmental, and behavioral factors among parents of sixth-grade students who received BMI Health Letters (BMIHLs) in one Florida County. A nonexperimental postintervention design was employed to gather quantitative data via self-report Likert-type questionnaire. Participants were parents/guardians of sixth-grade students attending one Hillsborough County public middle school (n = 76). Results indicate three main findings: (a) most parents in this study (67.4%) who discussed the BMIHL with their child reported their child as "very" or "somewhat" uncomfortable with the discussion; (b) some parents of normal weight (NW) children responded by taking their child to a medical professional to control their weight; and (c) more parents of at risk of overweight/overweight (AR/OW) children (vs. NW) reported greater concern about their child's weight, using food restriction and physical activity to control their child's weight, and giving negative weight-related comments/behaviors. This case study illustrates the importance of adapting and tailoring state mandated BMIHLs for parents based on child's BMI status.
Benson, Levi P; Williams, Ronald J; Novick, Marsha B
2013-01-01
Depression and obesity are important in children because they affect health in childhood and later life. The exact relationship between obesity and depression, especially in children, remains undefined. Using a cross-sectional chart review design, our study looked at a weight management clinic-based sample of 117 obese children, 7 to 17 years old, to determine the relationship between absolute BMI and depression as measured by the Children's Depression Index (CDI) while accounting for confounders, such as the child's medical problems, physical activity, and family structure. There was no correlation between depression as measured by the CDI and increasing BMI in obese children seeking weight management. However, we did demonstrate a positive correlation between depression and paternal absence and daily television/computer/video game time. Clinicians should encourage decreasing screen time and might consider family therapy for obese children in families that lack paternal involvement.
Liu, Qingqing; Yu, Canqing; Gao, Wenjing; Cao, Weihua; Lyu, Jun; Wang, Shengfeng; Pang, Zengchang; Cong, Liming; Dong, Zhong; Wu, Fan; Wang, Hua; Wu, Xianping; Jiang, Guohong; Wang, Binyou; Li, Liming
2015-10-01
This study examined the genetic and environmental effects on variances in weight, height, and body mass index (BMI) under 18 years in a population-based sample from China. We selected 6,644 monozygotic and 5,969 dizygotic twin pairs from the Chinese National Twin Registry (CNTR) aged under 18 years (n = 12,613). Classic twin analyses with sex limitation were used to estimate the genetic and environmental components of weight, height, and BMI in six age groups. Sex-limitation of genetic and shared environmental effects was observed, especially when puberty begins. Heritability for weight, height, and BMI was low at 0-2 years old (less than 20% for both sexes) but increased over time, accounting for half or more of the variance in the 15-17 year age group for boys. For girls, heritabilities for weight, height and BMI was maintained at approximately 30% after puberty. Common environmental effects on all body measures were high for girls (59-87%) and presented a small peak during puberty. Genetics appear to play an increasingly important role in explaining the variation in weight, height, and BMI from early childhood to late adolescence, particularly in boys. Common environmental factors exert their strongest and most independent influence specifically in the pre-adolescent period and more significantly in girls. These findings emphasize the need to target family and social environmental interventions in early childhood years, especially for females. Further studies about puberty-related genes and social environment are needed to clarify the mechanism of sex differences.
The effect of prenatal maternal cigarette smoking on children's BMI z-score with SGA as a mediator.
Salahuddin, Meliha; Pérez, Adriana; Ranjit, Nalini; Hoelscher, Deanna M; Kelder, Steven H
2018-02-21
The goal of this study was to assess the effect of prenatal maternal cigarette smoking on children's BMI z-score trajectories, and to evaluate whether small-for-gestational-age (SGA) acts as a potential mediator between prenatal maternal cigarette smoking and child's BMI z-score at 4 years of age. Group-based trajectory modeling (GBTM) methods were employed to describe and classify developmental BMI z-score trajectories (the outcome of interest) in children from 9 months to 4 years of age (n = 5221) in the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B) study (2001-2005). Further analysis examined whether the identified BMI z-score trajectories varied with the exposure, prenatal maternal cigarette smoking. Mediation analyses were utilized to examine whether being SGA (binary measure) acted as a potential mediator in the relationship between prenatal maternal cigarette smoking and BMI z-score among 4-year-old children. Using GBTM, two BMI z-score trajectory groups were identified: normal BMI z-score (57.8%); and high BMI z-score (42.2%). Children of mothers who smoked cigarettes during pregnancy were 2.1 times (RR 95% CI: 1.1-4.0, P value = 0.023) more at risk of being in the high BMI z-score trajectory group. Prenatal cigarette smoking was positively related to SGA at birth, but SGA was inversely related to BMI z-score at 4 years. The direct effect (0.19, 95% CI: 0.18, 0.19; P value < 0.001) of maternal cigarette smoking status during pregnancy on BMI z-score among 4-year-old children was stronger and in the opposite direction of the indirect effect (-0.04, 95% CI: -0.04, -0.04; P value < 0.001) mediated through SGA. In this study, prenatal maternal cigarette smoking was positively associated with the high BMI z-score group, as well with SGA. The effects of prenatal smoking on BMI z-score at 4 years appears to act through pathways other than SGA.
Simmonds, Mark; Burch, Jane; Llewellyn, Alexis; Griffiths, Claire; Yang, Huiqin; Owen, Christopher; Duffy, Steven; Woolacott, Nerys
2015-06-01
It is uncertain which simple measures of childhood obesity are best for predicting future obesity-related health problems and the persistence of obesity into adolescence and adulthood. To investigate the ability of simple measures, such as body mass index (BMI), to predict the persistence of obesity from childhood into adulthood and to predict obesity-related adult morbidities. To investigate how accurately simple measures diagnose obesity in children, and how acceptable these measures are to children, carers and health professionals. Multiple sources including MEDLINE, EMBASE and The Cochrane Library were searched from 2008 to 2013. Systematic reviews and a meta-analysis were carried out of large cohort studies on the association between childhood obesity and adult obesity; the association between childhood obesity and obesity-related morbidities in adulthood; and the diagnostic accuracy of simple childhood obesity measures. Study quality was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) and a modified version of the Quality in Prognosis Studies (QUIPS) tool. A systematic review and an elicitation exercise were conducted on the acceptability of the simple measures. Thirty-seven studies (22 cohorts) were included in the review of prediction of adult morbidities. Twenty-three studies (16 cohorts) were included in the tracking review. All studies included BMI. There were very few studies of other measures. There was a strong positive association between high childhood BMI and adult obesity [odds ratio 5.21, 95% confidence interval (CI) 4.50 to 6.02]. A positive association was found between high childhood BMI and adult coronary heart disease, diabetes and a range of cancers, but not stroke or breast cancer. The predictive accuracy of childhood BMI to predict any adult morbidity was very low, with most morbidities occurring in adults who were of healthy weight in childhood. Predictive accuracy of childhood obesity was moderate for predicting adult obesity, with a sensitivity of 30% and a specificity of 98%. Persistence of obesity from adolescence to adulthood was high. Thirty-four studies were included in the diagnostic accuracy review. Most of the studies used the least reliable reference standard (dual-energy X-ray absorptiometry); only 24% of studies were of high quality. The sensitivity of BMI for diagnosing obesity and overweight varied considerably; specificity was less variable. Pooled sensitivity of BMI was 74% (95% CI 64.2% to 81.8%) and pooled specificity was 95% (95% CI 92.2% to 96.4%). The acceptability to children and their carers of BMI or other common simple measures was generally good. Little evidence was available regarding childhood measures other than BMI. No individual-level analysis could be performed. Childhood BMI is not a good predictor of adult obesity or adult disease; the majority of obese adults were not obese as children and most obesity-related adult morbidity occurs in adults who had a healthy childhood weight. However, obesity (as measured using BMI) was found to persist from childhood to adulthood, with most obese adolescents also being obese in adulthood. BMI was found to be reasonably good for diagnosing obesity during childhood. There is no convincing evidence suggesting that any simple measure is better than BMI for diagnosing obesity in childhood or predicting adult obesity and morbidity. Further research on obesity measures other than BMI is needed to determine which is the best tool for diagnosing childhood obesity, and new cohort studies are needed to investigate the impact of contemporary childhood obesity on adult obesity and obesity-related morbidities. This study is registered as PROSPERO CRD42013005711. The National Institute for Health Research Health Technology Assessment programme.
Serlachius, Anna; Pulkki-Råback, Laura; Juonala, Markus; Sabin, Matthew; Lehtimäki, Terho; Raitakari, Olli; Elovainio, Marko
2017-09-01
The transmission of overweight from one generation to the next is well established, however little is known about what psychosocial factors may protect against this familial risk. The aim of this study was to examine whether optimism plays a role in the intergenerational transmission of obesity. Our sample included 1043 participants from the prospective Cardiovascular Risk in Young FINNS Study. Optimism was measured in early adulthood (2001) when the cohort was aged 24-39years. BMI was measured in 2001 (baseline) and 2012 when they were aged 35-50years. Parental BMI was measured in 1980. Hierarchical linear regression and logistic regression were used to examine the association between optimism and future BMI/obesity, and whether an interaction existed between optimism and parental BMI when predicting BMI/obesity 11years later. High optimism in young adulthood demonstrated a negative relationship with high BMI in mid-adulthood, but only in women (β=-0.127, p=0.001). The optimism×maternal BMI interaction term was a significant predictor of future BMI in women (β=-0.588, p=0.036). The logistic regression results confirmed that high optimism predicted reduced obesity in women (OR=0.68, 95% CI, 0.55-0.86), however the optimism × maternal obesity interaction term was not a significant predictor (OR=0.50, 95% CI, 0.10-2.48). Our findings supported our hypothesis that high optimism mitigated the intergenerational transmission of high BMI, but only in women. These findings also provided evidence that positive psychosocial factors such as optimism are associated with long-term protective effects on BMI in women. Copyright © 2017 Elsevier Inc. All rights reserved.
Gunardi, A J; Brennan, S L; Wang, Y; Cicuttini, F M; Pasco, J A; Kotowicz, M A; Nicholson, G C; Wluka, A E
2013-12-01
Osteoarthritis (OA) most commonly affects the patellofemoral compartment of the knee, and is a major cause of pain and disability. Structural changes that evolve prior to the onset of symptoms can be visualised using magnetic resonance imaging (MRI). There is little known information about the role of adiposity on the early structural changes in the patella cartilage in younger, asymptomatic adult females. One hundred and sixty asymptomatic women (20-49 years) participating in the Geelong Osteoporosis Study underwent knee MRI (2006-8). Weight and body mass index (BMI) were measured 10 years prior (1994-7, baseline) and at the time of MRI (current), with change over the period calculated (current-baseline). Relationships between measures of adiposity and patella cartilage volume and defects were examined. After adjustment for age and patella bone volume, there was a reduction of 13 ml (95% confidence interval (95% CI), -25.7, -0.55) in patella cartilage volume for every 1 unit increase in current BMI, and a reduction of 27 ml (95% CI -52.6, -1.5) per BMI unit increase over 10 years (P=0.04 for both). No significant association was observed between baseline BMI and patella cartilage volume (P=0.16). Increased baseline and current weight and BMI were associated with increased prevalence of patella cartilage defects (all P<0.001). Adiposity and weight gain during midlife are associated with detrimental structural change at the patella in young to middle-aged healthy non-osteoarthritic women. Maintaining a healthy weight and avoiding weight gain in younger asymptomatic women may be important in the prevention of patellofemoral OA.
Alptekin, Hüsnü; Çizmecioğlu, Ahmet; Işık, Hatice; Cengiz, Türkan; Yildiz, Murat; Iyisoy, Mehmet Sinan
2016-05-01
To determine the predictability of gestational diabetes mellitus (GDM) during the first trimester using the degree of insulin resistance and anthropometric measurements and to assign the risk of developing GDM by weight gained during pregnancy (WGDP). A total of 250 singleton pregnancies at 7-12 gestational weeks were studied. Body mass index (BMI), waist/hip ratio (WHR), quantitative insulin sensitivity check index (QUICKI), homeostasis model assessment-insulin resistance (HOMA-IR) scores and WGDP were determined. The backward stepwise method was applied to estimate possible associations with GDM. Cutoff points were estimated using receiver operating characteristic curve analysis. GDM was found in 20 of 227 singleton pregnancies (8.8 %). The calculated HOMA-IR, QUICKI, BMI, WHR, WGDP, and parity were significantly associated with GDM. Logistic regression analyses showed that three covariates (HOMA-IR, BMI, WGDP) remained independently associated with GDM. It was calculated as OR 1.254 (95 % CI 1.006-1.563), AUC 0.809, sensitivity 90 %, specificity 61 % with cutoff = 2.08 for HOMA-IR; OR 1.157 (CI 1.045-1.281), AUC 0.723, sensitivity 80 %, specificity 58 % with cutoff = 25.95 for BMI; OR 1.221, (CI 1.085-1.374), AUC 0.654, sensitivity 80 %, specificity 46 % with cutoff = 4.7 for WGDP. Despite a HOMA-IR score of >3.1 in pregnant women, GDM was detected in only three of 29 patients (10.3 %) if WGDP was <4.7 kg at weeks 24-28. First trimester screening for GDM can be achieved based on maternal anthropometric measurements and HOMA-IR. In particular, if BMI is >25.95 kg/m(2) and the HOMA-IR score >2.08, controlling weight gain may protect against GDM.
[Nutritional status of children in the North Backa Region based on the body mass index].
Pavlović, M
2000-01-01
Monitoring nutritional status of children at a population level represents an important index of the nutritional quality and quantity in a certain period of time. The aim of this paper was to determine the body mass index (BMI kg/m2) and evaluate the nutritional status of children in the North Backa Region (Subotica, Backa Topola and Mali Idos). A transversal anthropometric study examining body weight and height during a mass screening of children in Health centers in the North Backa Region, 25.790 children aged 1-18 have been examined in the period 1995-1998. Evidence and statistical evaluation of data have been processed using the software "CHILD" determining the percentile values of BMI and nutritional status according to reference values of the First National Healts and Nutrition Examination Survey (NHANES 1). Analyzing the nutritional status of children aged 6-18 in the North Backa Region we found 4.39% boys and 5.41 girls with BMI < P5 as underweight, moderate underweight with BMI P5-15 were 7.28% boys and 6.96% girls, whereas normal nutritional status (BMI P15-85) was found in 67.13% boys and 67.25% girls. 12.77% of boys and 11.78% of girls were overweight (BMI P85-95) and obesity (BMI > P95) was registered in 8.46% boys and 8.60% girls. Using the same software and based on results for the whole group of children aged 1-18, reference values were calculated for BMI as a regional reference data which can be used in everyday public health setting. This research is the first examination of the nutritional status of children at a population level in the North Backa Region in regard to BMI. This model of nutritional status monitoring in children using the above mentioned software will be used at a national level. These results show an inadequate nutritional status of children in the North Backa Region which can be associated with unbalanced nutrition and life style. Therefore, permanent monitoring of the nutritional status in children has been established in order to take adequate preventive measures to realize nutrition of children and adolescents.
Accuracy of body mass index in volunteer firefighters.
Ode, J; Knous, J; Schlaff, R; Hemenway, J; Peterson, J; Lowry, J
2014-04-01
Obesity is prevalent among career firefighters and may contribute to heart attacks, a leading cause of on-duty fatalities. The US National Fire Protection Association estimates that 800 000 of 1.1 million firefighters are volunteers. Body mass index (BMI) is commonly used to assess obesity, but little is known about its accuracy in volunteer firefighters, in whom muscle mass may be higher, given firefighting's physical demands, reducing its accuracy in identifying obesity. To evaluate the accuracy of BMI in identifying obese volunteer firefighters. Height, weight and body composition were measured in 73 male volunteer firefighters (mean age 40±12). The proportions with BMI ≥ 25kg/m(2), ≥30kg/ m(2) and percent fat ≤ 20th percentile were determined. Using the age-specific 20th percentile for percent fat (Cooper Clinic) as the criterion for being over-fat, the accuracy of BMI was assessed using sensitivity and specificity calculations. The means ± standard deviation of BMI and percent fat were 32±6 and 25±5, respectively. The proportions with a BMI ≥ 25 and ≥30 were 90% and 60%, respectively. Fifty-one percent had a percent fat ≤ 20th percentile. The measure BMI ≥ 25 had a perfect sensitivity (1.0) and low specificity (0.19) and BMI ≥ 30 had a high sensitivity (0.89) and moderate specificity (0.69). Although BMI ≥ 30 accurately predicted being over-fat, it misclassified large and lean firefighters. Although BMI should be used cautiously, it can identify over-fat firefighters at risk of cardiovascular disease, and its measurement is cost-effective and simple.
Postoperative Complications of Total Joint Arthroplasty in Obese Patients Stratified by BMI.
Zusmanovich, Mikhail; Kester, Benjamin S; Schwarzkopf, Ran
2018-03-01
High body mass index (BMI) is associated with significant complications in patients undergoing total joint arthroplasty. Many studies have evaluated this trend, but few have looked at the rates of complications based on BMI as a continuous variable. The purpose of this study was to stratify obese patients into 3 BMI categories and evaluate their rates of complications and gauge whether transitioning from higher to lower BMI category lowers complication. Patients undergoing primary total joint arthroplasty were selected from the National Surgical Quality Improvement Program database from 2008-2015 and arranged into 3 groups based on BMI: O1 (BMI 30-34.9 kg/m 2 ), O2 (BMI 35-39.9 kg/m 2 ), and O3 (BMI >40 kg/m 2 ). Thirty-day complications were recorded and evaluated utilizing univariate and multivariate analyses stratified by BMI. A total of 268,663 patients were identified. Patients with a BMI >30 kg/m 2 had more infectious and medical complications compared with nonobese patients. Furthermore, there were increased complications as the BMI categories increased. Patients with a BMI >40 kg/m 2 (O3) had longer operating times, length of stay, higher rates of readmissions, reoperations, deep venous thrombosis, renal insufficiency, superficial infections, deep infections, and wound dehiscence. These trends were present when comparing the O2 with O1 category as well. We have demonstrated increased rates of medical and surgical complications in obese patients. Furthermore, we demonstrated a stepwise increase in complication rates when transitioning to higher BMI groups. Based on our data, we believe that preoperative counseling and interventions to decrease BMI should be explored before offering elective surgery to obese patients. Copyright © 2017 Elsevier Inc. All rights reserved.
Kowaleski-Jones, Lori; Brown, Barbara B; Fan, Jessie X; Smith, Ken R; Zick, Cathleen D
2010-09-01
In this study, we investigate how three alternative measures of maternal body mass index (BMI) relate to youth overweight. We contrast the typical cross-sectional measure of maternal BMI with a longitudinal mean and a standard deviation in maternal BMI. Using National Longitudinal Survey of Youth data, we estimate logistic regressions that relate maternal BMI to the risk of a youth being overweight while controlling for other familial characteristics. Participants in this study are 918 males and 841 females who were age 16-21 and either healthy weight or overweight in 2006. To be eligible for inclusion, teens were 15 years old by December 2006. After comparing several measures of maternal weight, we find that higher mean maternal BMI measured over the life of the adolescent has the strongest relationship with the odds of youth overweight for both male and female adolescents. For boys, a one unit increase in mother's mean BMI increases the odds of being overweight by 16% (OR = 1.16, 95% CI 1.11-1.20) while for girls the increase in the odds of being overweight is 13% (OR = 1.13, 95% CI 1.09-1.18). Our findings suggest that researchers should move beyond static measures of maternal weight when examining the correlates of youth BMI. Maternal weight histories offer additional insights about the youth's home environment that are associated with the risk of a youth being overweight.
Higher Rate of Iron Deficiency in Obese Pregnant Sudanese Women
Abbas, Wisal; Adam, Ishag; Rayis, Duria A.; Hassan, Nada G.; Lutfi, Mohamed F.
2017-01-01
AIM: To assess the association between obesity and iron deficiency (ID). MATERIAL AND METHODS: Pregnant women were recruited from Saad Abualila Hospital, Khartoum, Sudan, during January–April 2015. Medical history (age, parity, gestational age) was gathered using questionnaire. Weight and height were measured, and body mass index (BMI) was calculated. Women were sub-grouped based on BMI into underweight (< 18.5 kg/m^2), normal weight (18.5–24.9 kg/m^2), overweight (25–29.9 kg/m^2) and obese (≥ 30 kg/m^2). Serum ferritin and red blood indices were measured in all studied women. RESULTS: Two (0.5%), 126 (29.8%), 224 (53.0%) and 71 (16.8%) out of the 423 women were underweight, normal weight, overweight and obese, respectively. Anemia (Hb <11 g/dl), ID (ferritin <15µg/l) and iron deficiency anemia (IDA) were prevalent in 57.7%, 21.3% and 12.1%, respectively. Compared with the women with normal BMI, significantly fewer obese women were anemic [25 (35.2%) vs. 108 (85.7%), P < 0.001] and significantly higher number of obese women [25 (35.2) vs. 22 (17.5, P = 0.015] had iron deficiency. Linear regression analysis demonstrated a significant negative association between serum ferritin and BMI (– 0.010 µg/, P= 0.006). CONCLUSION: It is evident from the current findings that prevalence of anaemia and ID showed different trends about BMI of pregnant women PMID:28698743
The Impact of Body Mass Index on Heterotopic Ossification
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mourad, Waleed Fouad, E-mail: Waleed246@gmail.com; Department of Radiation Oncology, Beth Israel Medical Center, New York, NY; Department of Radiation Oncology, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY
2012-04-01
Purpose: To analyze the impact of different body mass index (BMI) as a surrogate marker for heterotopic ossification (HO) in patients who underwent surgical repair (SR) for displaced acetabular fractures (DAF) followed by radiation therapy (RT). Methods and Materials: This is a single-institution retrospective study of 395 patients. All patients underwent SR for DAF followed by RT {+-} indomethacin. All patients received postoperative RT, 7 Gy, within 72 h. The patients were separated into four groups based on their BMI: <18.5, 18.5-24.9, 25-29.9, and >30. The end point of this study was to evaluate the efficacy of RT {+-} indomethacinmore » in preventing HO in patients with different BMI. Results: Analysis of BMI showed an increasing incidence of HO with increasing BMI: <18.5, (0%) 0/6 patients; 18.5-24.9 (6%), 6 of 105 patients developed HO; 25-29.9 (19%), 22 of 117; >30 (31%), 51 of 167. Chi-square and multivariate logistic regression analysis showed that the correlation between odds of HO and BMI is significant, p < 0.0001. As the BMI increased, the risk of HO and Brooker Classes 3, 4 HO increased. The risk of developing HO is 1.0 Multiplication-Sign (10%) more likely among those with higher BMI compared with those with lower BMI. For a one-unit increase in BMI the log odds of HO increases by 1.0, 95% CI (1.06-1.14). Chi-square test shows no significant difference among all other factors and HO (e.g., indomethacin, race, gender). Conclusions: Despite similar surgical treatment and prophylactic measures (RT {+-} indomethacin), the risk of HO appears to significantly increase in patients with higher BMI after DAF. Higher single-fraction doses or multiple fractions and/or combination therapy with nonsteroidal inflammatory drugs may be of greater benefit to these patients.« less
Consalvo, Vincenzo; Krakauer, Jesse C; Krakauer, Nir Y; Canero, Antonio; Romano, Mafalda; Salsano, Vincenzo
2018-07-01
BMI (body mass index) is used to identify candidates for bariatric surgery, with a criterion of BMI ≥ 40. For lesser degrees of obesity, BMI 35-39.9, comorbidities are also considered. A Body Shape Index (ABSI) was derived to correct WC (waist circumference) for BMI and height. ABSI has been shown to be a linear predictor of long-term mortality across the range of BMI. Anthropometric risk indicator (ARI) combines the complementary contributions of BMI and ABSI and further improves mortality hazard prediction. We report for the first time ABSI and ARI for a bariatric surgical cohort at baseline and with 3-year follow-up. ABSI and BMI were calculated for 101 subjects from our bariatric surgery center database at baseline and after 3 years of follow-up. Raw values for BMI and ABSI were converted to Z scores and ARI values based on sex- and age-specific normals and risk associations from the National Health and Nutrition Examination Survey (NHANES) III sample of the US general population. Baseline scores for the anthropometric variables BMI and ABSI and the corresponding ARI were all higher than for the NHANES population sample. At 3-year post surgery, all three measures decreased significantly. While baseline BMI did not predict the change in mortality risk by ARI, baseline ABSI did (r = - 0.73), as did baseline ARI (r = - 0.94). Sleeve gastrectomy lowers ABSI and the associated mortality risk estimated from population studies after 3 years of follow-up. Considering our results, bariatric surgical candidates with BMI in the range of 35 to 39.9 with an increased ABSI-related mortality risk may have considerable survival benefit from bariatric surgery, even in the absence of qualifying comorbidities. 2814.
Is BMI a relevant marker of fat mass in 4 year old children? Results from the MINISTOP trial.
Delisle Nyström, Christine; Henriksson, Pontus; Ek, Anna; Henriksson, Hanna; Ortega, Francisco B; Ruiz, Jonatan R; Löf, Marie
2018-03-20
Due to the increase in childhood obesity, identifying children with excess body fat as early as possible is essential. Body mass index (BMI) is commonly used as a marker of body fat in children, adolescents, and adults, yet whether BMI is a valid marker of body fat in pre-school aged children remains to be confirmed. Therefore, we analyzed the associations of BMI with fat and fat-free mass in healthy 4-year-old Swedish children. The study comprised of 303 children (135 girls) participating in the MINISTOP obesity prevention trial. Fat and fat-free mass were measured using air displacement plethysmography and we computed fat mass index (FMI) and fat free mass index (FFMI) as fat and fat free mass (kg)/height 2 (m). BMI was positively yet weakly associated with percent fat mass (boys: r 2 = 0.120, P < 0.001 and girls: r 2 = 0.224, P < 0.001). There was a strong association between BMI and the FMI (boys: r 2 = 0.468, P < 0.001 and girls r 2 = 0.598, P < 0.001) as well as between BMI and the FFMI (boys: r 2 = 0.621, P < 0.001 and girls: r 2 = 0.499, P < 0.001). Children classified as normal weight had a wide range of percent fat mass (12.3 to 35.3%) and FMI (1.75 to 5.78 kg/m 2 ). BMI was strongly associated to both FMI and FFMI. Therefore, caution is needed when interpreting body fat status based on BMI values in pre-school children.
Optimal BMI Cut-off Points for Prediction of Incident Diabetes in Chinese population.
Ma, Hao; Wu, Xiaoyan; Guo, Xiaoyu; Yang, Jianjun; Ma, Xiaohui; Lv, Mengfan; Li, Ying
2018-05-26
The current BMI classifications have been established based on risk of obesity-related conditions, but not specifically on type 2 diabetes mellitus (T2DM). This study aimed to identify the optimal BMI cutoffs for assessing incident T2DM risk in Chinese population. The longitudinal study cohort consisted of 8,735 non-diabetic participants aged 20-74 years at baseline, with a mean follow-up period of 6.0 years. Body mass index (BMI), 2-h glucose of 75-g oral glucose tolerance test, and glycosylated hemoglobin were measured at baseline and follow-up survey. During the follow-up period, 825 participants were diagnosed with T2DM. In multivariable Cox regression analyses, adjusting for covariates, a strong positive association between BMI and incident T2DM was found among whole population, when stratified by age groups (20-39 years, 40-59 years, 60-74 years), the risk associations between BMI and incident T2DM decreased with increasing age-specific groups, and extinguished in the 60-74 age group (P-value of interaction<0.001). The optimal BMI cut-offs (kg/m 2 ) for predicting T2DM risk for men and women were 25.5 and 24.4 in the 20-39 age group, and 23.5 and 23.0 in the 40-59 age group, respectively. But no predictive performance was observed in the 60-74 age group in both sexes. Our results suggested that the performance of BMI in predicting T2DM risk was the best in younger age and decreased with age. Age- and sex-specific BMI cut-offs should be considered for T2DM risk stratification in Chinese population. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Burman, M; Säätelä, S; Carlsson, M; Olofsson, B; Gustafson, Y; Hörnsten, C
2015-04-01
to investigate the prevalence of malnutrition and the association between Body Mass Index (BMI), Mini Nutritional Assessment (MNA) and five-year mortality in a representative population of very old (>85 years) people. A prospective cohort study. A population-based study of very old people in northern Sweden and western Finland, living in institutional care or in the community. Out of 1195 potential participants, 832 were included (mean age 90.2±4.6 years). Nutritional status was assessed using BMI and MNA and the association of those two variables with five-year mortality was analyzed. The mean BMI value for the whole population was 25.1±4.5 kg/m2, with no difference between genders (P=0.938). The mean MNA score was 22.5±4.6 for the whole sample, and it was lower for women than for men (P<0.001). Thirteen percent were malnourished (MNA<17) and 40.3% at risk of malnutrition (MNA 17-23.5) according to MNA. Also, 34.8% of those with a MNA score <17 still had a BMI value ≥22.2 kg/m2. A BMI value <22.2 kg/m2 and a MNA score<17 were associated with lower survival. The association with mortality seemed to be J-shaped for BMI, and linear for MNA. Malnutrition according to MNA was common, but a substantial portion of those with a low MNA score still had a high BMI value, and vice versa. The association with mortality appeared to be J-shaped for BMI, and linear for MNA. The MNA seems to be a good measurement of malnutrition in very old people, and BMI might be misleading and could underestimate the prevalence of malnutrition, especially in women.
Neighborhood Greenness and 2-Year Changes in Body Mass Index of Children and Youth
Bell, Janice F.; Wilson, Jeffrey S.; Liu, Gilbert C.
2008-01-01
Background Available studies of the built environment and the BMI of children and youth suggest a contemporaneous association with neighborhood greenness in neighborhoods with high population density. The current study tests whether greenness and residential density are independently associated with 2-year changes in the BMI of children and youth. Methods The sample included children and youth aged 3–16 years who lived at the same address for 24 consecutive months and received well-child care from a Marion County IN clinic network within the years 1996–2002 (n=3831). Multiple linear regression was used to examine associations among age- and gender-specific BMI z-scores in Year 2, residential density, and a satellite-derived measure of greenness, controlling for baseline BMI z-scores and other covariates. Logistic regression was used to model associations between an indicator of BMI z-score increase from baseline to Time 2 and the above-mentioned predictors. Results Higher greenness was significantly associated with lower BMI z-scores at Time 2 regardless of residential density characteristics. Higher residential density was not associated with Time 2 BMI z-scores in models regardless of greenness. Higher greenness was also associated with lower odds of children’s and youth’s increasing their BMI z-scores over 2 years (OR=0.87; 95% CI=0.79, 0.97). Conclusions Greenness may present a target for environmental approaches to preventing child obesity. Children and youth living in greener neighborhoods had lower BMI z-scores at Time 2, presumably due to increased physical activity or time spent outdoors. Conceptualizations of walkability from adult studies, based solely on residential density, may not be relevant to children and youth in urban environments. PMID:19000844
Sex differences in the influence of body mass index on anatomical architecture of brain networks.
Gupta, A; Mayer, E A; Hamadani, K; Bhatt, R; Fling, C; Alaverdyan, M; Torgerson, C; Ashe-McNalley, C; Van Horn, J D; Naliboff, B; Tillisch, K; Sanmiguel, C P; Labus, J S
2017-08-01
The brain has a central role in regulating ingestive behavior in obesity. Analogous to addiction behaviors, an imbalance in the processing of rewarding and salient stimuli results in maladaptive eating behaviors that override homeostatic needs. We performed network analysis based on graph theory to examine the association between body mass index (BMI) and network measures of integrity, information flow and global communication (centrality) in reward, salience and sensorimotor regions and to identify sex-related differences in these parameters. Structural and diffusion tensor imaging were obtained in a sample of 124 individuals (61 males and 63 females). Graph theory was applied to calculate anatomical network properties (centrality) for regions of the reward, salience and sensorimotor networks. General linear models with linear contrasts were performed to test for BMI and sex-related differences in measures of centrality, while controlling for age. In both males and females, individuals with high BMI (obese and overweight) had greater anatomical centrality (greater connectivity) of reward (putamen) and salience (anterior insula) network regions. Sex differences were observed both in individuals with normal and elevated BMI. In individuals with high BMI, females compared to males showed greater centrality in reward (amygdala, hippocampus and nucleus accumbens) and salience (anterior mid-cingulate cortex) regions, while males compared to females had greater centrality in reward (putamen) and sensorimotor (posterior insula) regions. In individuals with increased BMI, reward, salience and sensorimotor network regions are susceptible to topological restructuring in a sex-related manner. These findings highlight the influence of these regions on integrative processing of food-related stimuli and increased ingestive behavior in obesity, or in the influence of hedonic ingestion on brain topological restructuring. The observed sex differences emphasize the importance of considering sex differences in obesity pathophysiology.
Sex Differences in the Influence of Body Mass Index on Anatomical Architecture of Brain Networks
Gupta, Arpana; Mayer, Emeran A.; Hamadani, Kareem; Bhatt, Ravi; Fling, Connor; Alaverdyan, Mher; Torgenson, Carinna; Ashe-McNalley, Cody; Van Horn, John D; Naliboff, Bruce; Tillisch, Kirsten; Sanmiguel, Claudia P.; Labus, Jennifer S.
2017-01-01
Background/Objective The brain plays a central role in regulating ingestive behavior in obesity. Analogous to addiction behaviors, an imbalance in the processing of rewarding and salient stimuli results in maladaptive eating behaviors that override homeostatic needs. We performed network analysis based on graph theory to examine the association between body mass index (BMI) and network measures of integrity, information flow, and global communication (centrality) in reward, salience and sensorimotor regions, and to identify sex-related differences in these parameters. Subjects/Methods Structural and diffusion tensor imaging were obtained in a sample of 124 individuals (61 males and 63 females). Graph theory was applied to calculate anatomical network properties (centrality) for regions of the reward, salience, and sensorimotor networks. General linear models with linear contrasts were performed to test for BMI and sex-related differences in measures of centrality, while controlling for age. Results In both males and females, individuals with high BMI (obese and overweight) had greater anatomical centrality (greater connectivity) of reward (putamen) and salience (anterior insula) network regions. Sex differences were observed both in individuals with normal and elevated BMI. In individuals with high BMI, females compared to males showed greater centrality in reward (amygdala, hippocampus, nucleus accumbens) and salience (anterior mid cingulate cortex) regions, while males compared to females had greater centrality in reward (putamen) and sensorimotor (posterior insula) regions. Conclusions In individuals with increased BMI, reward, salience, and sensorimotor network regions are susceptible to topological restructuring in a sex related manner. These findings highlight the influence of these regions on integrative processing of food-related stimuli and increased ingestive behavior in obesity, or in the influence of hedonic ingestion on brain topological restructuring. The observed sex differences emphasize the importance of considering sex differences in obesity pathophysiology. PMID:28360430
Wang, Youfa; Xue, Hong; Chen, Hsin-jen; Igusa, Takeru
2014-09-06
Although the importance of social norms in affecting health behaviors is widely recognized, the current understanding of the social norm effects on obesity is limited due to data and methodology limitations. This study aims to use nontraditional innovative systems methods to examine: a) the effects of social norms on school children's BMI growth and fruit and vegetable (FV) consumption, and b) the effects of misperceptions of social norms on US children's BMI growth. We built an agent-based model (ABM) in a utility maximization framework and parameterized the model based on empirical longitudinal data collected in a US nationally representative study, the Early Childhood Longitudinal Study - Kindergarten Cohort (ECLS-K), to test potential mechanisms of social norm affecting children's BMI growth and FV consumption. Intraclass correlation coefficients (ICC) for BMI were 0.064-0.065, suggesting that children's BMI were similar within each school. The correlation between observed and ABM-predicted BMI was 0.87, indicating the validity of our ABM. Our simulations suggested the follow-the-average social norm acts as an endogenous stabilizer, which automatically adjusts positive and negative deviance of an individual's BMI from the group mean of a social network. One unit of BMI below the social average may lead to 0.025 unit increase in BMI per year for each child; asymmetrically, one unit of BMI above the social average, may only cause 0.015 unit of BMI reduction. Gender difference was apparent. Social norms have less impact on weight reduction among girls, and a greater impact promoting weight increase among boys. Our simulation also showed misperception of the social norm would push up the mean BMI and cause the distribution to be more skewed to the left. Our simulation results did not provide strong support for the role of social norms on FV consumption. Social norm influences US children's BMI growth. High obesity prevalence will lead to a continuous increase in children's BMI due to increased socially acceptable mean BMI. Interventions promoting healthy body image and desirable socially acceptable BMI should be implemented to control childhood obesity epidemic.
Christison, Amy; Khan, Huma Ali
2012-04-01
To evaluate the efficacy and feasibility of a multifaceted, community-based weight intervention program for children using exergaming technology (activity-promoting video gaming). This is a prospective observational pilot study. Forty-eight children, between the ages of 8 and 16 years, who are overweight or obese, enrolled in Exergaming for Health, a multidisciplinary weight management program, which used active video gaming. Primary outcome measures were change in body mass index (BMI) z scores. Most children (n = 40, 83%) completed the program and participated in outcome evaluations. The average BMI change was -0.48 kg/m(2) (SD = 0.93), P < .002 (BMI z-score change was -0.072, SD = 0.14, P < .0001). The average Global Self-Worth score improved, screen time and soda intake reduced, and exercise hours per week increased. The Exergaming for Health program may be an effective weight management intervention that is feasible with high participation rates. A larger randomized controlled trial is needed to confirm these results.
Concordance of self-report and measured height and weight of college students.
Quick, Virginia; Byrd-Bredbenner, Carol; Shoff, Suzanne; White, Adrienne A; Lohse, Barbara; Horacek, Tanya; Kattelmann, Kendra; Phillips, Beatrice; Hoerr, Sharon L; Greene, Geoffrey
2015-01-01
This study examined associations between college students' self-report and measured height and weight. Participants (N = 1,686) were 77% white, 62% female, aged 18-24 years (mean ± SD, 19.1 ± 1.1 years), and enrolled at 8 US universities. Body mass index (BMI) was calculated for self-report (via online survey); trained researchers measured height and weight and categorized them as normal (18.5 to < 25), overweight (25 to < 30), obese (30 to < 35), and morbidly obese (≥ 35). Concordance of self-report vs objectively measured BMI groups using chi-square revealed that 93% were accurate, 4% were underestimated, and 2.7% were overestimated. Pearson correlations and adjusted linear regression revealed significant associations between self-report and measured BMI (r = .97; P < .001) and BMI adjusted for age, gender, and race/ethnicity (R² = .94). Concordance was also high between BMI categories (kappa = 0.77; P < .001). Findings provide support for the utility of self-report height and weight for survey research in college students. Copyright © 2015 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.
Malaysia Shape of the Nation (MySoN): a primary care based study of abdominal obesity in Malaysia.
Zaki, M; Robaayah, Z; Chan, S P; Vadivale, M; Lim, T O
2010-06-01
Abdominal obesity (AO), measured by waist circumference (WC), is a stronger predictor of subsequent development of cardiovascular disease (CVD) than generalised obesity, which is measured by body mass index (BMI). This study aimed to measure WC and prevalence of AO in Malaysians visiting primary care physicians. 1893 patients between the ages of 18 and 80 attending primary care clinics in Malaysia were recruited over two days for this multi-centre cross-sectional study. Pregnant women were excluded, their medical history, weight, height and WC were examined. The prevalence of co-morbidities were as follows: (1) CVD-4%, lipid disorder-17%, hypertension-26%, diabetes-14% and any of the clinical characteristics of CVD/lipid disorder/hypertension/diabetes-38%. The mean BMI for men and women was 25.62 +/- 4.73 kg/m2 and 26.63 +/- 5.72 kg/m2, respectively. Based on WHO criteria for BMI (overweight, 25-29.9 kg/m2; obese, > 30 kg/m2), 34.2% were overweight and 20.4% were obese. The mean WC for men and women was 89.03 +/- 13.45 cm and 84.26 +/- 12.78 cm, respectively. Overall, 55.6% had AO and there was higher prevalence among women (based on International Diabetes Federation criteria: WC > or = 90 cm for men and > or = 80 cm for women). AO was present in approximately 71% patients with lipid disorder, in 76% with hypertension and in 75% with diabetes. Patients with AO were also at a higher risk of developing co-morbidities. Malaysia has a high prevalence of AO and associated cardiovascular risk factors. This needs to be addressed by public health programs, which should also include routine measurement of WC.
Hanif, M W; Valsamakis, G; Dixon, A; Boutsiadis, A; Jones, A F; Barnett, A H; Kumar, S
2008-09-01
We tested a stepwise, community-based screening strategy for glucose intolerance in South Asians using a health questionnaire in conjunction with body mass index (BMI). Anthropometric measurements (waist and hip circumference, sagittal diameter and percentage body fat) were then conducted in a hospital setting followed by an oral glucose tolerance test (OGTT) to identify subjects at the highest risk and analyse the factors predicting that risk. A health questionnaire was administered to 435 subjects in a community setting and BMI was measured. Subjects were graded by a risk score based on the health questionnaire as high, medium and low. Subjects with high and medium risk scores and a representative sample of those with low scores had anthropometric measurements in hospital followed by an OGTT. In total, 205 (47%) of the subjects had an OGTT performed. In total, 48.7% of the subjects tested with an OGTT had evidence of glucose dysregulation: 20% had diabetes and 28.7% had impaired glucose tolerance (IGT). Logistic regression model explained 49.1% of the total variability. The significant predictors of diabetes and IGT were Blood Glucose Monitoring Strips (BMI), random blood glucose (BM), sibling with diabetes and presence of diagnosed hypertension or ischaemic disease. Most of these predictors along with other heredity diabetes factors create a composite score, with high predictability, as the receiver operating curve analysis shows. We describe a simple, stepwise strategy in a community setting, based on a health questionnaire and anthropometric measurements, to explain about 50% of cases with IGT and diabetes and diagnose about 50% of cases from the population screened. We have also identified factors that predict the risk.
Kamody, Rebecca C; Thurston, Idia B; Decker, Kristina M; Kaufman, Caroline C; Sonneville, Kendrin R; Richmond, Tracy K
2018-06-01
Simultaneous contributions of self-esteem, depression, and anxiety to weight and perceived physical health in young adults is understudied. A diverse sample of 424 young adults completed measures of shape/weight based self-esteem, depression, anxiety, and perceived physical health. Height and weight were measured to calculate body mass index (BMI). Latent profile analysis was conducted to derive patterns of depression, anxiety, and shape/weight based self-esteem. Then, we examined the association of the profiles with weight status and perceived physical health. Three profiles emerged: (1) High Shape/Weight Influence (HSWI); (2) Low Shape/Weight, Depression, & Anxiety Influence (LSWDAI); and (3) High Depression & Anxiety Influence (HDAI). The HSWI profile had significantly higher BMI than the LSWDAI and HDAI profiles, and significantly lower perceived physical health than the LSWDAI profile. Over emphasis on shape/weight, regardless of depression and anxiety, is associated with elevated weight and negative internalized health views. Copyright © 2018 Elsevier Ltd. All rights reserved.
Baxter, Suzanne Domel; Royer, Julie A.; Hitchcock, David B.
2013-01-01
BACKGROUND A positive relationship exists between children’s body mass index (BMI) and energy intake at school-provided meals. To help explain this relationship, we investigated 7 outcome variables concerning aspects of school-provided meals—energy content of items selected, number of meal components selected, number of meal components eaten, amounts eaten of standardized school-meal portions, energy intake from flavored milk, energy intake received in trades, and energy content given in trades. METHODS We observed children in grade 4 (N=465) eating school-provided breakfast and lunch on one to 4 days per child. We measured children’s weight and height. For daily values at school meals, a generalized linear model was fit with BMI (dependent variable) and the 7 outcome variables, sex, and age (independent variables). RESULTS BMI was positively related to amounts eaten of standardized school-meal portions (p < .0001) and increased 8.45 kg/m2 per serving, controlling for other variables in the model. BMI was positively related to energy intake from flavored milk (p = .0041) and increased 0.347 kg/m2 for every 100-kcal consumed. BMI was negatively related to energy intake received in trades (p = .0003) and decreased 0.468 kg/m2 for every 100-kcal received. BMI was not significantly related to 4 outcome variables. CONCLUSIONS Knowing that relationships between BMI and actual consumption, not selection, at school-provided meals explained the (previously found) positive relationship between BMI and energy intake at school-provided meals is helpful for school-based obesity interventions. PMID:23517000
Sleep Duration and Body Mass Index in Twins: A Gene-Environment Interaction
Watson, Nathaniel F.; Harden, Kathryn Paige; Buchwald, Dedra; Vitiello, Michael V.; Pack, Allan I.; Weigle, David S.; Goldberg, Jack
2012-01-01
Study Objectives: To examine whether sleep duration modifies genetic and environmental influences on body mass index (BMI). Design: Genotype-environment interaction twin study. Setting: University of Washington Twin Registry. Patients or Participants: A population-based sample of US twins (1,088 pairs, 604 monozygotic, 484 dizygotic; 66% female; mean age = 36.6 yr, standard deviation (SD) = 15.9 yr). Interventions: N/A. Measurements and Results: Participants self-reported information on height, weight, and sleep. Mean BMI was calculated as 25.3 kg/m2 (SD = 5.4) and mean habitual sleep duration was 7.2 hr/night (SD = 1.2). Data were analyzed using biometric genetic interaction models. Overall the heritability of sleep duration was 34%. Longer sleep duration was associated with decreased BMI (P < 0.05). The heritability of BMI when sleep duration was < 7 hr (h2 = 70%) was more than twice as large as the heritability of BMI when sleep duration was ≥ 9 hr (h2 = 32%); this interaction was significant (P < 0.05). Conclusions: Shorter sleep duration is associated with increased BMI and increased genetic influences on BMI, suggesting that shorter sleep duration increases expression of genetic risks for high body weight. At the same time, longer sleep duration may suppress genetic influences on body weight. Future research aiming to identify specific genotypes for BMI may benefit by considering the moderating role of sleep duration. Citation: Watson NF; Harden KP; Buchwald D; Vitiello MV; Pack AI; Weigle DS; Goldberg J. Sleep duration and body mass index in twins: a gene-environment interaction. SLEEP 2012;35(5):597-603. PMID:22547885
Joseph, Joshua J.; Wang, Xu; Roux, Ana V. Diez; Sanchez, Brisa N.; Seeman, Teresa E.; Needham, Belinda L.; Golden, Sherita Hill
2016-01-01
Context Prior studies have shown a cross-sectional association between body mass index (BMI) and salivary diurnal cortisol profile features (cortisol features); however, to our knowledge prior population-based studies have not examined the longitudinal association of body-mass index (BMI) with cortisol features. Objective To examine the association of (1) prior annual BMI percent change over 7 years with cortisol features, (2) baseline cortisol features with subsequent change in BMI over 6 years and (3) the association of change in cortisol features with change in BMI over 6 years. Design Longitudinal study Setting Multi-Ethnic Study of Atherosclerosis (MESA) Stress I & II Studies (2004-2006 & 2010-2012) Participants 1,685 ethnically diverse men and women attended either MESA Stress exam (mean age 65 ± 10 years at MESA Stress I; mean age 69 ± 9 years at MESA Stress II). Outcome Measures Log-transformed cortisol features including wake-up cortisol, cortisol awakening response, early decline slope (30 minutes to 2 hours post-awakening), late decline slope (2 hours post-awakening to bedtime), bedtime, and total area under the curve (AUC) cortisol. Results Over 7 years, following multivariable adjustment, (1) a 1% higher prior annual BMI % increase was associated with a 2.9% (95% CI: −5.0%, −0.8%) and 3.0% (95% CI: −4.7%, −1.4%) lower current wake-up and total AUC cortisol, respectively; (2) there was no significant association between baseline cortisol features and subsequent change in BMI and (3) among participants with BMI ≥ 30 kg/m2, flattening of the late decline slope was associated with increases in BMI (every 1-unit increase late decline slope were associated with a 12.9% increase (95%CI: −1%, 26.8%) in BMI, respectively). Conclusions We found a significant association between prior annual BMI % change and cortisol features, but no significant association between baseline cortisol features and subsequent change in BMI. In participants with obesity increases in BMI were associated with less pronounced declined. Collectively, our results suggest that greater adiposity may lead to a blunted diurnal cortisol profile. PMID:28183457
Feeding practices and child weight: is the association bidirectional in preschool children?
Jansen, Pauline W; Tharner, Anne; van der Ende, Jan; Wake, Melissa; Raat, Hein; Hofman, Albert; Verhulst, Frank C; van Ijzendoorn, Marinus H; Jaddoe, Vincent W V; Tiemeier, Henning
2014-11-01
Parental feeding practices are associated with children's body mass index (BMI). It has been generally assumed that parental feeding determines children's eating behaviors and weight gain, but feeding practices could equally be a parent's response to child weight. In longitudinal analyses, we assessed the directionality in the relation between selected controlling feeding practices and BMI in early childhood. Participants were 4166 children from the population-based Generation R Study. BMI was measured at ages 2 and 6 y. With the use of the Child Feeding Questionnaire, parents reported on restriction, monitoring, and pressure to eat (child age: 4 y). BMI and feeding-behavior scales were transformed to SD scores. With the use of linear regression analyses, there was an indication that a higher BMI at age 2 y predicted higher levels of parental restriction (adjusted β = 0.07; 95% CI: 0.04, 0.10) and lower levels of pressure to eat (adjusted β = -0.20; 95% CI: -0.23, -0.17) 2 y later. Restriction at age 4 y positively predicted child BMI at 6 y of age, although this association attenuated to statistical nonsignificance after accounting for BMI at age 4 y (β = 0.01; 95% CI: -0.01, 0.03). Pressure to eat predicted lower BMI independently of BMI at age 4 y (β = -0.02; 95% CI: -0.04, -0.01). For both restriction and pressure to eat, the relation from BMI to parenting was stronger than the reverse (Wald's test for comparison: P = 0.03 and < 0.001, respectively). Monitoring predicted a lower child BMI, but this relation was explained by confounding factors. Although the feeding-BMI relation is bidirectional, the main direction of observed effects suggests that parents tend to adapt their controlling feeding practices in response to their child's BMI rather than the reverse. Therefore, some components of current programs aimed at preventing or treating unhealthy child weight may need to be carefully scrutinized, especially those targeting parental food-related restriction and pressure to eat. © 2014 American Society for Nutrition.
Obesity prevalence and accuracy of BMI-defined obesity in Russian firefighters.
Gurevich, K G; Poston, W S C; Anders, B; Ivkina, M A; Archangelskaya, A; Jitnarin, N; Starodubov, V I
2017-01-01
No data exist on obesity or the accuracy of body mass index (BMI) in Russian Federation firefighters. To determine the prevalence of obesity and rates of misclassification of BMI-based obesity status. Career firefighters in the Moscow region completed anthropometric assessments including height, weight, BMI, body fat per cent (BF%) and waist circumference (WC). Using these three methods, we defined obesity as BMI ≥30, BF% >25 and WC >102, respectively. The study group consisted of 167 male firefighters. Obesity prevalence was 22% for BMI [95% confidence interval (CI) 16.9-28.5], 60% for BF% (95% CI 52.5-67.3) and 28% for WC (95% CI 21.3-34.9). False positive rates for BMI-based obesity status were low, with 3% (95% CI -1.1 to 7.1) and 6% (95% CI 1.6-9.9) of non-obese participants defined by BF% and WC standards misidentified as obese using BMI. However, 65% (95% CI 55.7-77.4) of BF%-defined obese participants and 36% (95% CI 22.5-49.9) of WC-defined obese participants were misclassified as non-obese using BMI (i.e. false negatives). Rates of BMI-based obesity in Russian male firefighters were similar to that of males in the general Russian adult male population. Compared with BF% or WC standards, BMI-based obesity classi- fication produced low rates of false positives but demonstrated high rates of false negatives. © The Author 2016. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Liu, Jian; Leng, Junhong; Tang, Chen; Liu, Gongshu; Hay, John; Wang, Jing; Wen, Shiwu; Li, Zhenling; She, Ye
2014-05-20
To examine the impact of maternal blood glucose (BG) level and body mass index (BMI) measured at gestational diabetes mellitus (GDM) screening on the risk of macrosomia. A perinatal cohort of women were followed up from receiving perinatal healthcare to giving birth. Beichen District, Tianjin, China between June 2011 and October 2012. 1951 women aged 19-42 years with valid values of BMI and BG level at GDM screening (24-28 weeks gestation), singleton birth and birth weight (BW)>2500 g. Primary outcome was macrosomia (BW>4000 g). BG level and BMI were measured at GDM screening. 191 (9.7%) newborns were macrosomia. The ORs (95% CIs) of macrosomia from multiple logistic regression were 1.14 (1.10 to 1.19, p<0.0001) for BMI and 1.11 (1.01 to 1.23, p=0.03) for BG. When BMI and BG levels (continuous) were modelled simultaneously, the OR for BMI was similar, but significantly attenuated for BG. Areas of receiver operating characteristics (ROC) were 0.6530 (0.6258 to 0.6803) for BMI and 0.5548 (0.5248 to 0.5848) for BG (χ(2)=26.17, p<0.0001). BG (mmol/L, <6.7, 6.7-7.8 or ≥7.8) and BMI in quintiles (Q1-Q5) were evaluated with BG <6.7 and Q2 BMI as the reference group. The ORs of macrosomia were not statistically different for mothers in Q1 or Q2 of BMI regardless of the BG levels; the ORs for ≥Q3 of BMI were elevated significantly with the highest OR observed in Q5 of BMI and BG levels ≥7.8 (6.93 (2.61 to 18.43), p<0.0001). High BMI measured at GDM screening was the most important determinant for risk of macrosomia. These findings suggest that GDM screening may be a critical gestational time point to initiate maternal weight control oriented intervention strategy to lower the risk. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Guimarães, Maria Fernanda B Resende; Pinto, Maria Raquel da Costa; Raid, Renata G Santos Couto; Andrade, Marcus Vinícius Melo de; Kakehasi, Adriana Maria
Standard anthropometric measures used to diagnose obesity in the general population may not have the same performance in patients with rheumatoid arthritis. To determine cutoff points for body mass index (BMI) and waist circumference (WC) for detecting obesity in women with rheumatoid arthritis (RA) by comparing these standard anthropometric measures to a dual-energy X-ray absorptiometry (DXA)-based obesity criterion. Adult female patients with more than six months of diagnosis of RA underwent clinical evaluation, with anthropometric measures and body composition with DXA. Eighty two patients were included, mean age 55±10.7 years. The diagnosis of obesity in the sample was about 31.7% by BMI, 86.6% by WC and 59.8% by DXA. Considering DXA as golden standard, cutoff points were identified for anthropometric measures to better approximate DXA estimates of percent body fat: for BMI value≥25kg/m 2 was the best for definition of obesity in female patients with RA, with sensitivity of 80% and specificity of 60%. For WC, with 80% of sensitivity and 35% of specificity, the best value to detect obesity was 86cm. A large percentage of patients were obese. The traditional cutoff points used for obesity were not suitable for our sample. For this female population with established RA, BMI cutoff point of 25kg/m 2 and WC cutoff point of 86cm were the most appropriate to detect obesity. Copyright © 2016 Elsevier Editora Ltda. All rights reserved.
Guimarães, Maria Fernanda B Resende; da Costa Pinto, Maria Raquel; Raid, Renata G Santos Couto; Andrade, Marcus Vinícius Melo de; Kakehasi, Adriana Maria
2016-02-11
Standard anthropometric measures used to diagnose obesity in the general population may not have the same performance in patients with rheumatoid arthritis. To determine cutoff points for body mass index (BMI) and waist circumference (WC) for detecting obesity in women with rheumatoid arthritis (RA) by comparing these standard anthropometric measures to a dual-energy x-ray absorptiometry (DXA)-based obesity criterion. Adult female patients with more than six months of diagnosis of RA underwent clinical evaluation, with anthropometric measures and body composition with DXA. Eighty two patients were included, mean age 55±10.7 years. The diagnosis of obesity in the sample was about 31.7% by BMI, 86.6% by WC and 59.8% by DXA. Considering DXA as golden standard, Cutoff points were identified for anthropometric measures to better approximate DXA estimates of percent body fat: for BMI value ≥ 25kg/m 2 was the best for definition of obesity in female patients with RA, with sensitivity of 80% and specificity of 60%. For WC, with 80% of sensitivity and 35% of specificity, the best value to detect obesity was 86cm. A large percentage of patients were obese. The traditional cutoff points used for obesity were not suitable for our sample. For this female population with established RA, BMI cutoff point of 25kg/m 2 and WC cutoff point of 86cm were the most appropriate to detect obesity. Copyright © 2016 Elsevier Editora Ltda. All rights reserved.
Lei, Hong; Chen, Xiao; Liu, Shuyun; Chen, Zhenyan
2017-04-01
Visceral adipose tissue (VAT) and hepatic fat deposition are the most important risk factors for women's health. Acupuncture, including electroacupuncture (EA), is used to treat obesity throughout the world. The effect of EA is evaluated mainly by body mass index (BMI) and waist circumference (WC). Few studies have assessed its effect in reducing VAT volume and hepatic fat fraction (HFF) based on an exact measurement method such as magnetic resonance imaging (MRI). This study aimed to resolve this issue. Thirty subjects were randomly divided into two groups. The control group (n = 15) did not receive any intervention and maintained a normal diet and their usual exercise habits. The treatment group (n = 15) received EA three times a week for 3 months. BMI and WC were measured using different devices. VAT and HFF were measured by MRI and calculated by related software before and after the intervention. A marked difference was evident in group that received EA treatment in the following tests. The differences in BMI (U = 21.00, p < 0.001), WC (U = 40.50, p = 0.002), VAT volume (U = 13.00, p < 0.001), and mean HFF (U = 0.00, p < 0.001) before and after the intervention in the treatment group were distinct and significant compared with those of the control group. Three months later, the treatment group showed a lower BMI (W = 91.00, p = 0.001), WC (t = 4.755, p < 0.001), VAT volume (t = 5.164, p < 0.001), and mean HFF (W = 120.00, p = 0.001) compared with pretreatment levels. Compared with the control group, the treatment group showed a lower VAT volume (t = 60.00, p = 0.029) after 3 months of treatment. After 3 months, the control group showed higher mean HFF (t = -2.900, p = 0.012) and VAT volume (W = 11.50, p = 0.006) compared with their initial levels. Based on MRI evaluation, this randomized controlled study proved that EA treatment reduces BMI and WC as well as VAT volume and HFF in women with abdominal obesity.
Evans-Hoeker, Emily A; Calhoun, Kathryn C; Mersereau, Jennifer E
2014-03-01
To assess healthcare providers' ability to estimate women's body mass index (BMI) based on physical appearance and determine the prevalence of, and barriers to, weight-related counseling. A web-based survey was distributed to healthcare providers ("participants") at a university-based hospital and contained photographs of anonymous women ("photographed women (PW)") as well as questions regarding participant demographics. Participants were asked to estimate BMI category based on physical appearance, state whether they would provide weight-loss counseling for each PW and identify barriers to counseling. One hundred forty-two participants completed the survey. BMI estimations were poor among all participants, with an overall accuracy of only 41% and a large proportion of underestimations. Standardization of PW clothing did not improve accuracy; 41% for own clothing versus 40% for scrubs, P = 0.2. BMI assessments were more accurate for Caucasian versus African American PW (45% versus 36%, P < 0.001) and PW with normal weight (84%) and obesity III (38%) compared to PW with mid-range BMI (P < 0.001). Although the frequency of weight loss counseling was positively associated with PW BMI, participants only intended to counsel 69% of overweight and obese PW. The most commonly cited reason for lack of counseling was time constraints (54%). Healthcare providers are inaccurate at appearance-based BMI categorization and thus, BMI should be routinely calculated in order to improve identification of those in need of counseling. When appropriately identified, time constraints may prevent practitioners from providing appropriate weight-loss counseling-further complicating the already difficult task of fighting obesity. Copyright © 2013 The Obesity Society.
Association between different combination of measures for obesity and new-onset gallstone disease.
Liu, Tong; Wang, Wanchao; Ji, Yannan; Wang, Yiming; Liu, Xining; Cao, Liying; Liu, Siqing
2018-01-01
Body mass index(BMI) is a calculation index of general obesity. Waist circumference(WC) is a measure of body-fat distribution and always used to estimate abdominal obesity. An important trait of general obesity and abdominal obesity is their propensity to coexist. Using one single measure of obesity could not estimate persons at risk for GSD precisely. This study aimed to compare the predictive values of various combination of measures for obesity(BMI, WC, waist to hip ratio) for new-onset GSD. We prospectively studied the predictive values of various combination of measures for obesity for new-onset GSD in a cohort of 88,947 participants who were free of prior gallstone disease, demographic characteristics and biochemical parameters were recorded. 4,329 participants were identified to have GSD among 88,947 participants during 713 345 person-years of follow-up. Higher BMI, WC and waist to hip ratio (WHtR) were significantly associated with higher risks of GSD in both genders even after adjustment for potential confounders. In males, the hazard ratio for the highest versus lowest BMI, WC, WHtR were 1.63(1.47~1.79), 1.53(1.40~1.68), 1.44(1.31~1.58), respectively. In females, the hazard ratio for the highest versus lowest BMI, WC, WHtR were 2.11(1.79~2.49), 1.85(1.55~2.22), 1.84(1.55~2.19), respectively. In male group, the combination of BMI+WC improved the predictive ability of the model more clearly than other combinations after adding them to the multivariate model in turn, while for females the best predictive combination was BMI+WHtR. Elevated BMI, WC and WHtR were independent risk factors for new-onset GSD in both sex groups after additional adjustment was made for potential confounders. In males, the combination of BMI+WC seemed to be the most predictable model to evaluate the effect of obesity on new-onset GSD, while the best combination in females was BMI+WHtR.
Validity of self-reported height and weight in 4808 EPIC-Oxford participants.
Spencer, Elizabeth A; Appleby, Paul N; Davey, Gwyneth K; Key, Timothy J
2002-08-01
To assess the validity of self-reported height and weight by comparison with measured height and weight in a sample of middle-aged men and women, and to determine the extent of misclassification of body mass index (BMI) arising from differences between self-reported and measured values. Analysis of self-reported and measured height and weight data from participants in the Oxford cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Oxford). Four thousand eight hundred and eight British men and women aged 35-76 years. Spearman rank correlations between self-reported and measured height, weight and BMI were high (r > 0.9, P < 0.0001). Height was overestimated by a mean of 1.23 (95% confidence interval (CI) 1.11-1.34) cm in men and 0.60 (0.51-0.70) cm in women; the extent of overestimation was greater in older men and women, shorter men and heavier women. Weight was underestimated by a mean of 1.85 (1.72-1.99) kg in men and 1.40 (1.31-1.49) kg in women; the extent of underestimation was greater in heavier men and women, but did not vary with age or height. Using standard categories of BMI, 22.4% of men and 18.0% of women were classified incorrectly based on self-reported height and weight. After correcting the self-reported values using predictive equations derived from a 10% sample of subjects, misclassification decreased to 15.2% in men and 13.8% in women. Self-reported height and weight data are valid for identifying relationships in epidemiological studies. In analyses where anthropometric factors are the primary variables of interest, measurements in a representative sample of the study population can be used to improve the accuracy of estimates of height, weight and BMI.
Influence of body mass index on movement efficiency among firefighter recruits.
Cornell, David J; Gnacinski, Stacy L; Zamzow, Aaron; Mims, Jason; Ebersole, Kyle T
2016-06-04
Previous research has demonstrated links between musculoskeletal injury risk and measures of obesity and movement efficiency among the firefighter population. However, the influence of obesity on movement efficiency among firefighter recruits remains uninvestigated. To investigate the influence of obesity on movement efficiency measures among firefighter recruits. Measures of obesity were collected among 73 male firefighter recruits. Participants were grouped into standard body mass index (BMI) categories (normal, overweight, obese). Differences in Total Functional Movement Screen (FMS) scores and Y-Balance Test (YBT) composite scores were examined between BMI categories. In addition, the relationships between measures of obesity and movement efficiency were also examined. No significant differences in movement efficiency measures were identified between BMI categories (p > 0.05). However, significant bivariate correlations were identified between BMI (kg/m2) and Total FMS score (r = -0.235, p = 0.045), as well as between fat-free mass (FFM) and Total FMS score (r = -0.231, p = 0.049), when examined among all participants. BMI may influence measures of movement efficiency among firefighter recruits to a lesser extent than among other previously examined populations. Future research should examine the influence of other unexamined physiological variables on movement efficiency.
Azad, Meghan B; Sharma, Atul K; de Souza, Russell J; Dolinsky, Vernon W; Becker, Allan B; Mandhane, Piushkumar J; Turvey, Stuart E; Subbarao, Padmaja; Lefebvre, Diana L; Sears, Malcolm R
2016-07-01
The consumption of artificial sweeteners has increased substantially in recent decades, including among pregnant women. Animal studies suggest that exposure to artificial sweeteners in utero may predispose offspring to develop obesity; however, to our knowledge, this has never been studied in humans. To determine whether maternal consumption of artificially sweetened beverages during pregnancy is associated with infant body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]). This cohort study included 3033 mother-infant dyads from the Canadian Healthy Infant Longitudinal Development (CHILD) Study, a population-based birth cohort that recruited healthy pregnant women from 2009 to 2012. Women completed dietary assessments during pregnancy, and their infants' BMI was measured at 1 year of age (n = 2686; 89% follow-up). Statistical analysis for this study used data collected after the first year of follow-up, which was completed in October 2013. The data analysis was conducted in August 2015. Maternal consumption of artificially sweetened beverages and sugar-sweetened beverages during pregnancy, determined by a food frequency questionnaire. Infant BMI z score and risk of overweight at 1 year of age, determined from objective anthropometric measurements and defined according to World Health Organization reference standards. The mean (SD) age of the 3033 pregnant women was 32.4 (4.7) years, and their mean (SD) BMI was 24.8 (5.4). The mean (SD) infant BMI z score at 1 year of age was 0.19 (1.05), and 5.1% of infants were overweight. More than a quarter of women (29.5%) consumed artificially sweetened beverages during pregnancy, including 5.1% who reported daily consumption. Compared with no consumption, daily consumption of artificially sweetened beverages was associated with a 0.20-unit increase in infant BMI z score (adjusted 95% CI, 0.02-0.38) and a 2-fold higher risk of infant overweight at 1 year of age (adjusted odds ratio, 2.19; 95% CI, 1.23-3.88). These effects were not explained by maternal BMI, diet quality, total energy intake, or other obesity risk factors. There were no comparable associations for sugar-sweetened beverages. To our knowledge, we provide the first human evidence that maternal consumption of artificial sweeteners during pregnancy may influence infant BMI. Given the current epidemic of childhood obesity and widespread use of artificial sweeteners, further research is warranted to confirm our findings and investigate the underlying biological mechanisms, with the ultimate goal of informing evidence-based dietary recommendations for pregnant women.
Connell, Lauren E.; Francis, Lori A.
2014-01-01
Objective This study sought to determine whether parenting style moderated the effects of delay of gratification on BMI trajectories from age 4 to 15 years. Methods Longitudinal data were analyzed on 778 children drawn from the Study of Early Child Care and Youth Development. Parenting style (authoritative, authoritarian, permissive, neglectful) was created from measures of mothers’ sensitivity and expectations for self-control when children were age 4 years. Self-regulation was also measured at 4 years using a well-known delay of gratification protocol. BMI was calculated from measured height and weight at each time point. Mixed modeling was used to test the interaction of parenting styles and ability to delay gratification on BMI trajectories from 4 to 15 years. Results There was a significant interaction effect of parenting and ability to delay on BMI growth from 4 to 15 years for boys. Boys who had authoritarian mothers and failed to delay gratification had a significantly steeper rate of growth in BMI from childhood through adolescence than children in any other parenting x delay group. Conclusions Authoritative and permissive parenting styles were protective against more rapid BMI gains for boys who could not delay gratification. Ability to delay gratification was protective against BMI gains for boys who had parents with authoritarian or neglectful parenting styles. PMID:23977874
Lindkvist, Marie; Ivarsson, Anneli; Silfverdal, Sven Arne; Eurenius, Eva
2015-12-17
It is well established that the pregnancy and the first years of life are important for future childhood health and body weight. Even though current evidence suggests that both parents are important for childhood health, the influence that parents' BMI and socio-demography has on toddlers' BMI has so far received little attention. This study aimed to increase our knowledge on the association between toddlers' and parents' BMI, in relation to family socio-demography. Further, the aim was to investigate the interaction between the mothers' and fathers' BMI in relation to their child's BMI. A total of 697 children with a median age of 18 months (range 16-24 months) participated in the study along with their mothers (n = 697) and fathers (n = 674). As regards representability, our parental sample had a lower proportion of immigrants and the parents were more gainfully employed compared to parents in the rest of Sweden (when the child was 18 months old). The parents completed a questionnaire on parental and child health. Data on parental weight, height, and socio-demographics were recorded along with the child's weight and height measured at an ordinary child health care visit. We used the thresholds for children's BMI that were recommended for surveillance by the Royal College of Paediatrics and Child Health in 2012 based on the WHO reference population. Among the toddlers, 33 % had a BMI above the WHO 85(th) percentile and 14 % had a BMI above the WHO 95(th) percentile. The probability of a toddler having a BMI above the WHO 95(th) percentile was significantly increased if either the mother or father was overweight (BMI ≥ 25 kg/m(2)). Furthermore, we found a positive synergistic effect between the mother and father being overweight and their child having a BMI above the WHO 85(th) percentile. No associations were found between the toddlers' BMI and the family's socio-demographics, but there were associations between the parents' BMI and the family's socio-demographics. High BMI is common even in toddlers in this population. The risk increases if one parent is overweight, and it increases even more if both parents are overweight. The results in this study confirm the importance of considering familial risk factors when examining child health and BMI at ordinary child health care visits already at an early age.
Parental feeding practices in Mexican American families: initial test of an expanded measure
2013-01-01
Background Although obesity rates are high among Latino children, relatively few studies of parental feeding practices have examined Latino families as a separate group. Culturally-based approaches to measurement development can begin to identify parental feeding practices in specific cultural groups. This study used qualitative and quantitative methods to develop and test the Parental Feeding Practices (PFP) Questionnaire for use with Mexican American parents. Items reflected both parent’s use of control over child eating and child-centered feeding practices. Methods In the qualitative phase of the research, 35 Latino parents participated in focus groups. Items for the PFP were developed from focus group discussions, as well as adapted from existing parent feeding practice measures. Cognitive interviews were conducted with 37 adults to evaluate items. In the quantitative phase, mothers and fathers of 174 Mexican American children ages 8–10 completed the PFP and provided demographic information. Anthropometric measures were obtained on family members. Results Confirmatory factor analyses identified four parental feeding practice dimensions: positive involvement in child eating, pressure to eat, use of food to control behavior, and restriction of amount of food. Factorial invariance modeling suggested equivalent factor meaning and item response scaling across mothers and fathers. Mothers and fathers differed somewhat in their use of feeding practices. All four feeding practices were related to child body mass index (BMI) percentiles, for one or both parents. Mothers reporting more positive involvement had children with lower BMI percentiles. Parents using more pressure to eat had children with lower BMI percentiles, while parents using more restriction had children with higher BMI percentiles. Fathers using food to control behavior had children with lower BMI percentiles. Conclusions Results indicate good initial validity and reliability for the PFP. It can be used to increase understanding of parental feeding practices, children’s eating, and obesity among Mexican Americans, a population at high risk of obesity. PMID:23324120
Parental feeding practices in Mexican American families: initial test of an expanded measure.
Tschann, Jeanne M; Gregorich, Steven E; Penilla, Carlos; Pasch, Lauri A; de Groat, Cynthia L; Flores, Elena; Deardorff, Julianna; Greenspan, Louise C; Butte, Nancy F
2013-01-17
Although obesity rates are high among Latino children, relatively few studies of parental feeding practices have examined Latino families as a separate group. Culturally-based approaches to measurement development can begin to identify parental feeding practices in specific cultural groups. This study used qualitative and quantitative methods to develop and test the Parental Feeding Practices (PFP) Questionnaire for use with Mexican American parents. Items reflected both parent's use of control over child eating and child-centered feeding practices. In the qualitative phase of the research, 35 Latino parents participated in focus groups. Items for the PFP were developed from focus group discussions, as well as adapted from existing parent feeding practice measures. Cognitive interviews were conducted with 37 adults to evaluate items. In the quantitative phase, mothers and fathers of 174 Mexican American children ages 8-10 completed the PFP and provided demographic information. Anthropometric measures were obtained on family members. Confirmatory factor analyses identified four parental feeding practice dimensions: positive involvement in child eating, pressure to eat, use of food to control behavior, and restriction of amount of food. Factorial invariance modeling suggested equivalent factor meaning and item response scaling across mothers and fathers. Mothers and fathers differed somewhat in their use of feeding practices. All four feeding practices were related to child body mass index (BMI) percentiles, for one or both parents. Mothers reporting more positive involvement had children with lower BMI percentiles. Parents using more pressure to eat had children with lower BMI percentiles, while parents using more restriction had children with higher BMI percentiles. Fathers using food to control behavior had children with lower BMI percentiles. Results indicate good initial validity and reliability for the PFP. It can be used to increase understanding of parental feeding practices, children's eating, and obesity among Mexican Americans, a population at high risk of obesity.
Gavriilidou, N N; Pihlsgård, M; Elmståhl, S
2015-01-01
Background/Objectives: The degree of misclassification of obesity and undernutrition among elders owing to inaccurate height measurements is investigated using height predicted by knee height (KH) and demispan equations. Subjects/Methods: Cross-sectional investigation was done among a random heterogeneous sample from five municipalities in Southern Sweden from a general population study ‘Good Aging in Skåne' (GÅS). The sample comprised two groups: group 1 (KH) including 2839 GÅS baseline participants aged 60–93 years with a valid KH measurement and group 2 (demispan) including 2871 GÅS follow-up examination participants (1573 baseline; 1298 new), aged 60–99 years, with a valid demispan measurement. Participation rate was 80%. Height, weight, KH and demispan were measured. KH and demispan equations were formulated using linear regression analysis among participants aged 60–64 years as reference. Body mass index (BMI) was calculated in kg/m2. Results: Undernutrition prevalences in men and women were 3.9 and 8.6% by KH, compared with 2.4 and 5.4% by standard BMI, and more pronounced for all women aged 85+ years (21% vs 11.3%). The corresponding value in women aged 85+ years by demispan was 16.5% vs 10% by standard BMI. Obesity prevalences in men and women were 17.5 and 14.6% by KH, compared with 19.0 and 20.03% by standard BMI. Values among women aged 85+ years were 3.7% vs 10.4% by KH and 6.5% vs 12.7% by demispan compared with the standard. Conclusions: There is an age-related misclassification of undernutrition and obesity attributed to inaccurate height estimation among the elderly. This could affect the management of patients at true risk. We therefore propose using KH- and demispan-based formulae to address this issue. PMID:25205322
Effects of obesity and diabetes on rate of bone density loss.
Leslie, W D; Morin, S N; Majumdar, S R; Lix, L M
2018-01-01
In this large registry-based study, women with diabetes had marginally greater bone mineral density (BMD) loss at the femoral neck but not at other measurement sites, whereas obesity was not associated with greater BMD loss. Our data do not support the hypothesis that rapid BMD loss explains the increased fracture risk associated with type 2 diabetes and obesity observed in prior studies. Type 2 diabetes and obesity are associated with higher bone mineral density (BMD) which may be less protective against fracture than previously assumed. Inconsistent data suggest that rapid BMD loss may be a contributing factor. We examined the rate of BMD loss in women with diabetes and/or obesity in a population-based BMD registry for Manitoba, Canada. We identified 4960 women aged ≥ 40 years undergoing baseline and follow-up BMD assessments (mean interval 4.3 years) without confounding medication use or large weight fluctuation. We calculated annualized rate of BMD change for the lumbar spine, total hip, and femoral neck in relation to diagnosed diabetes and body mass index (BMI) category. Baseline age-adjusted BMD was greater in women with diabetes and for increasing BMI category (all P < 0.001). In women with diabetes, unadjusted BMD loss was less at the lumbar spine (P = 0.017), non-significantly greater at the femoral neck (P = 0.085), and similar at the total hip (P = 0.488). When adjusted for age and BMI, diabetes was associated with slightly greater femoral neck BMD loss (- 0.0018 g/cm 2 /year, P = 0.012) but not at the lumbar spine or total hip. There was a strong linear effect of increasing BMI on attenuated BMI loss at the lumbar spine with negligible effects on hip BMD. Diabetes was associated with slightly greater BMD loss at the femoral neck but not at other measurement sites. BMD loss at the lumbar spine was reduced in overweight and obese women but BMI did not significantly affect hip BMD loss.
Physical activity modifies the FTO effect on BMI change in Japanese adolescents.
Shinozaki, Keiko; Okuda, Masayuki; Okayama, Naoko; Kunitsugu, Ichiro
2018-04-14
Evidence of the effects of fat mass and obesity-associated (FTO) gene variation and long-term effects of physical activity (PA) on adiposity in adolescents is largely scarce. This study aimed to investigate whether physical activity modulates the effects of the FTO gene on body mass index (BMI) changes in Japanese adolescents between the ages of 13 and 18 years. Data of 343 subjects (156 boys; 187 girls) who were enrolled in 2006 and 2007 from schools on Shunan City, Japan, were collected. Genotyping (rs1558902) was conducted, and anthropometric measurements and blood test results were recorded for subjects in the eighth grade. A second survey involving self-reporting of anthropometric measurements was conducted when the subjects were in the twelfth grade. PA was estimated using the International Physical Activity Questionnaire in this survey. BMI and the standard deviation score for BMI (BMI-SDS) were calculated. BMI changes and BMI-SDS changes were compared among FTO genotypes using a multivariate model. The effect of the interaction between PA and the FTO genotype on BMI changes was significant among boys but not girls. Among boys, PA had a significant negative influence on BMI-SDS changes in those with the AA genotype and a significant positive influence on BMI and BMI-SDS changes in those with the TT genotype. These data suggest that the influence of PA on BMI changes and BMI-SDS changes varied on the basis of genotype. PA modified the effect of the FTO gene on BMI changes in Japanese boys. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Watson, Paula M; Dugdill, Lindsey; Pickering, Katie; Owen, Stephanie; Hargreaves, Jackie; Staniford, Leanne J; Murphy, Rebecca C; Knowles, Zoe; Cable, N Timothy
2015-02-04
To evaluate the impact of the GOALS (Getting Our Active Lifestyles Started) family-based childhood obesity treatment intervention during the first 3 years of implementation. Single-group repeated measures with qualitative questionnaires. Community venues in a socioeconomically deprived, urban location in the North-West of England. 70 overweight or obese children (mean age 10.5 years, 46% boys) and their parents/carers who completed GOALS between September 2006 and March 2009. GOALS was a childhood obesity treatment intervention that drew on social cognitive theory to promote whole family lifestyle change. Sessions covered physical activity (PA), diet and behaviour change over 18 2 h weekly group sessions (lasting approximately 6 months). A Template for Intervention Description and Replication (TIDieR) checklist of intervention components is provided. The primary outcome measure was child body mass index (BMI) z-score, collected at baseline, post-intervention and 12 months. Secondary outcome measures were child self-perceptions, parent/carer BMI and qualitative changes in family diet and PA (parent/carer questionnaire). Child BMI z-score reduced by 0.07 from baseline to post-intervention (p<0.001) and was maintained at 12 months (p<0.05). There was no change in parent/carer BMI or child self-perceptions, other than an increase in perceived social acceptance from baseline to post-intervention (p<0.05). Parents/carers reported positive changes to family PA and dietary behaviours after completing GOALS. GOALS completion was associated with small improvements in child BMI z-score and improved family PA and dietary behaviours. Several intervention modifications were necessary during the implementation period and it is suggested childhood obesity treatment interventions need time to embed before a definitive evaluation is conducted. Researchers are urged to use the TIDieR checklist to ensure transparent reporting of interventions and facilitate the translation of evidence to practice. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Neumann, Lily; Lerner, Ella; Glazer, Yael; Bolotin, Arkady; Shefer, Alexander; Buskila, Dan
2008-12-01
We examined the relationship between body mass index (BMI) and measures of tenderness, quality of life, and physical functioning in female fibromyalgia (FMS) patients. A random sample of 100 female FMS patients from a database of 550 FMS individuals was interviewed and assessed according to a structured questionnaire that included FMS-related symptoms, measures of tenderness (point count and dolorimetry), quality of life (SF-36), physical functioning, and BMI. Weight was defined as normal, overweight, and obesity according to BMI. Twenty-seven percent of the FMS patients had normal BMI, 28% were overweight, and 45% were obese. BMI was negatively correlated with quality of life (r = -0.205, P = 0.044) and tenderness threshold (r = -0.238, P = 0.021) and positively correlated with physical dysfunctioning (r = 0.202, P = 0.047) and point count (r = 0.261, P = 0.011). Obese FMS patients display higher pain sensitivity and lower levels of quality of life. In designing studies that explore factors affecting tenderness, BMI should be included in addition to sex, age, etc.
Sengupta, Pallav; Sahoo, Sobhana
2014-09-01
Reports on the cardiorespiratory fitness and body composition of male workers engaged in processing of tea leaves in factories within the tea-estates of West Bengal, under the influence of physiological workload, are quite scanty. This cross-sectional study was conducted to evaluate morphometric characteristics based on physiological status and physical fitness of tea factory laborers who are continuously exposed to tea dust in their work environment for more than two years. Subjects were divided into control and tea garden workers groups. Height and weight were measured and the body mass index (BMI) was computed. Physiological parameters such as resting heart rate, blood pressure, fitness variables like physical fitness index (PFI), energy expenditure (EE), handgrip strength and anthropometric parameters like mid-upper arm (MUAC), thigh circumference (TC), head circumference (HC) and waist-to-hip ratio (WHR) were measured. Body surface area (BSA), BMI, body fat percentage and fitness variables (PFI, EE) showed significant difference (p < 0.05) between the two groups. Anthropometric measures (MUAC, TC, HC, WHR) reflected poor status among laborers. The present study shows that the majority of workers had ectomorph stature, good physical fitness, but had poor nutritional status (BMI and WHR).
Eather, Narelle; Morgan, Philip J; Lubans, David R
2013-01-01
To evaluate the impact of a multi-component school-based physical activity intervention (Fit-4-Fun) on health-related fitness and objectively measured physical activity in primary school children. Four Hunter primary schools were recruited in April, 2011 and randomized by school into treatment or control conditions. Participants included 213 children (mean age = 10.72 years ± 0.6; 52.2% female) with the treatment group (n = 118) completing the 8-week Fit-4-Fun Program. Participants were assessed at baseline and 6-month follow-up, with a 91% retention rate. Cardio-respiratory fitness (CRF) (20 m shuttle run) was the primary outcome, and secondary outcomes included body composition (BMI, BMI(Z)), muscular fitness (7-stage sit-up test, push-up test, basketball throw test, Standing Jump), flexibility (sit and reach) and physical activity (7 days pedometry). After 6-months, significant treatment effects were found for CRF (adjusted mean difference, 1.14 levels, p < 0.001), body composition (BMI mean, -0.96 kg/m(2), p < 0.001 and BMI z-score mean -0.47 z-scores, p < 0.001), flexibility (sit and reach mean, 1.52 cm, p = 0.0013), muscular fitness (sit-ups) (mean 0.62 stages, p = 0.003) and physical activity (mean, 3253 steps/day, p < 0.001). There were no group by time effects for the other muscular fitness measures. A primary school-based intervention focusing on fitness education significantly improved health-related fitness and physical activity levels in children. Copyright © 2012 Elsevier Inc. All rights reserved.
Psychological control by parents is associated with a higher child weight.
Rodenburg, Gerda; Kremers, Stef P J; Oenema, Anke; van de Mheen, Dike
2011-10-01
In this examination of the association between parenting style and child weight, the neglected concept of 'psychological control' has been added to the generally accepted parenting dimensions 'support' and 'behavioural control'. Also explored is whether the potential association between parenting and child weight is moderated by socio-demographic variables (child's age/ethnicity, and parent's education level). A cross-sectional study was performed among 1,665 parent-child dyads. The children's mean age was 8 years. Their height and weight were measured to calculate their body mass index (BMI). Parents completed a questionnaire to measure the three parenting dimensions. Based on these dimensions, five parenting styles were defined: the authoritative, permissive, authoritarian, neglecting and rejecting parenting style. Child BMI z-scores were regressed on parenting style, adjusting for parental BMI, child ethnicity, and parent's education level. Rejecting parenting, characterized by high psychological control, low support and low behavioural control, is the only parenting style significantly related to child BMI z-scores (β = 0.074, p < 0.001). The positive association was not moderated by socio-demographic variables. By adding the dimension of psychological control to the concept of parenting, this study has further elucidated the mechanisms whereby parenting may affect child weight. Demonstrating that 'rejecting parenting' is associated with a higher child weight, emphasizes the need for longitudinal studies in which parenting style is measured three-dimensionally. Potential mediating effects of parental feeding style and children's eating style, as well as age moderation, should be included in these studies.
75 FR 47821 - Endocrinologic and Metabolic Drugs Advisory Committee; Notice of Meeting
Federal Register 2010, 2011, 2012, 2013, 2014
2010-08-09
..., heart disease, or diabetes). The BMI is a measure of body weight (mass) based on a person's weight and... SCOUT trial evaluated the potential benefits of weight loss with MERIDIA on major cardiovascular (heart...
On the relationship between weight status and doctor shopping behavior-evidence from Australia.
Feng, Xiaoqi
2013-11-01
A recent study has suggested that overweight and obese people are more likely to consult a range of physicians (doctor shopping). The consistency of this finding with multiple measures of doctor shopping and controls for socioeconomic circumstances was interrogated. Ninety-nine thousand four hundred seven Australians aged 45 and over who had sought primary healthcare at least five times within 6 months of a survey (2006-2008). (i) The count of different physicians consulted; a binary indicator of (ii) >= three different physicians; (iii) >= five different physicians; and iv) a measure that took into account multiple consultations with the same physician were investigated. Weight status was measured using Body Mass Index (BMI) based on self-reported height and weight. Controls included socioeconomic circumstances, demographics, health, and neighborhood factors. In comparison to people with "normal" BMI, the likelihood of doctor shopping was lower among overweight (Incidence Rate Ratio: 0.97, 95%CI: 0.96, 0.98) and obese people (0.95: 0.93, 0.96). This negative correlation between doctor shopping behavior and weight status was consistent after full adjustment and across different outcome measures. In contrast with recent evidence from the US, overweight and obese Australians are less prone to doctor shopping behavior than their peers with "normal" BMI. Copyright © 2013 The Obesity Society.
Using BMI to Determine Cardiovascular Risk in Childhood: How Do the BMI Cutoffs Fare?
Skinner, Asheley Cockrell; Mayer, Michelle L.; Flower, Kori; Perrin, Eliana M.; Weinberger, Morris
2010-01-01
OBJECTIVE Although adverse health outcomes are increased among children with BMI above the 85th (overweight) and 95th (obese) percentiles, previous studies have not clearly defined the BMI percentile at which adverse health outcomes begin to increase. We examined whether the existing BMI percentile cutoffs are optimal for defining increased risk for dyslipidemia, dysglycemia, and hypertension. METHODS This was a cross-sectional analysis of the National Health and Nutrition Examination Survey from 2001 to 2006. Studied were 8216 children aged 6 to 17 years, representative of the US population. BMI was calculated by using measured height and weight and converted to percentiles for age in months and gender. Outcome measures (dyslipidemia, dysglycemia, and hypertension) were based on laboratory and physical examination results; these were analyzed as both continuous and categorical outcomes. RESULTS Significant increases for total cholesterol values and prevalence of abnormal cholesterol begin at the 80th percentile. Significant increases in glycohemoglobin values and prevalence of abnormal values begin at the 99th percentile. Consistent significant increases in the prevalence of high or borderline systolic blood pressure begin at the 90th percentile. CONCLUSIONS Intervening for overweight children and their health requires clinical interventions that target the right children. On the basis of our data, a judicious approach to screening could include consideration of lipid screening for children beginning at the 80th percentile but for dysglycemia at the 99th percentile. Current definitions of overweight and obese may be more useful for general recognition of potential health problems and discussions with parents and children about the need to address childhood obesity. WHAT'S KNOWN ON THIS SUBJECT: Previous research has shown that cardiovascular risk factors are related to the currently used definitions of obesity in children but has not specified the BMI percentiles at which risk increases.WHAT THIS STUDY ADDS: Nationally representative data indicate greater risk for abnormal lipid values in children who are not considered overweight by current definitions, risk for diabetes only in very obese children, and risk for hypertension at the 90th percentile of BMI. PMID:19858150
Utter, Jennifer; Scragg, Robert; Ni Mhurchu, Cliona; Schaaf, David
2007-09-19
Little research has given consideration to how people's weight control behaviors may moderate the relationships between nutrition and body mass index (BMI) in large cross-sectional studies. The objective of the current study is to determine how attempts to lose weight confound the relationships between nutrition behaviors and BMI among a population of predominately overweight adolescents. Data were drawn from the baseline measurements of the Pacific OPIC (Obesity Prevention In Communities). Participants included approximately 3500 high school students in New Zealand. Students in the sample primarily identified as a Pacific Island ethnicity (57%) and the mean age for participants was 14.8 years. Participants completed a questionnaire about nutrition and physical activity patterns and were weighed and measured for height. In our sample, 57% of students were overweight/obese, with the highest prevalence among Pacific Island students (71%). Approximately 50% of students were currently trying to lose weight, and this was more common among females, Pacific Island students and overweight/obese students. Examination of the nutritional correlates of BMI in the total population found inverse relationships between BMI and consumption of high-fat/high-sugar foods and positive relationships between BMI and eating 5 or more fruits and vegetables a day (all significant after controlling for age, sex, and ethnicity). For example, students who drank the most soft drinks or ate fruit and vegetables infrequently had the lowest mean BMI. Students' attempts to change their weight significantly moderated the relationships between most nutritional behaviors and BMI. In most cases, among students not trying to change their weight, expected relationships were observed; among students trying to lose weight, unexpected or no relationships were observed. Our findings suggest that among this population of predominately overweight students, solely relying on cross-sectional findings between nutrition behaviours and BMI would misinform intervention strategies. It appears that many students are already taking appropriate steps to reduce their weight. Intervention efforts should now move beyond education-based strategies to environmental changes that support students in adopting healthier nutrition practices.
Kim, Seul Gi; Ko, Ki dong; Hwang, In Cheol; Suh, Heuy Sun; Kay, Shelley; Caterson, Ian; Kim, Kyoung Kon
2015-01-01
Body mass index (BMI), waist circumference (WC), and even dual-energy X-ray absorptiometry (DXA) are used for obesity diagnosis. However, it is not known which DXA-derived index of obesity correlates best with BMI and/or WC and it is not clear whether such an index is accurate or not. The aim of this study is to show the relationship between anthropometric measurements (BMI, WC) and body fat indices from DXA and to determine which DXA indices are strongly related to BMI and WC. This study was based on data obtained from the Fourth and Fifth Korea National Health and Nutrition Examination Survey (KNHANES IV-V). DXA measurements were performed on survey subjects over 10 years old from July 2008 through to May 2011. Of these, 18 198 individuals, aged 19 years and older for whom DXA data were available, were included. Weighted Pearson's correlated coefficients (r) were calculated among indices, according to sex, age group and menopause, and the coefficients were compared with each other. BMI correlates most with trunk body fat mass in kg (r=0.831) and then with total body fat in kg (r=0.774, P<0.00043 for difference of r). In the older age group, BMI correlates with total body fat mass (r=0.822) better than with trunk fat mass (r=0.817, P<0.00043). WC correlates with trunk body fat mass most in both genders and all age groups (0.804≤r≤0.906). Correlations of BMI (r=0.645 for men, 0.689 for women) and WC (r=0.678 for men, 0.634 for women) to body fat percentages (%) were less robust than those to body fat mass. BMI and WC reflect trunk and total body fat in kg more than body fat percentage derived by DXA. Copyright © 2014 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
Pregnant women lack accurate knowledge of their BMI and recommended gestational weight gain.
Jeffs, Emma; Haszard, Jillian J; Sharp, Benjamin; Gullam, Joanna; Paterson, Helen
2016-08-05
To investigate pregnant women's knowledge of their body mass index (BMI) and their knowledge of gestational weight gain guidelines. Participants were recruited when attending their nuchal translucency scan at between 11 and 13 weeks, 6-days gestation in Dunedin or Christchurch, New Zealand. Recruitment staff measured participants' weight and height. By way of a self-administered, paper-based survey, participants were asked to identify their body size (including: underweight (BMI <18.5 kg/m2); normal weight (18.5-24.9); overweight (25-29.9); and obese (≥30)), and recommended gestational weight gain (including the 2009 Institute of Medicine guidelines for healthy weight gain in pregnancy, along with the options: "I should not gain any weight in my pregnancy", plus "It does not matter how much weight I gain"). Participant-measured BMI was compared to responses for perceived BMI and recommended gestational weight gain to assess accuracy. Demographic predictors of accuracy were also investigated. In total, 644 women were included. Sixty-six percent of these correctly identified their BMI category, however only 31% identified their correct gestational weight gain recommendation. Overweight and obese women were much more likely to underestimate their BMI than normal weight women (p<0.001 for both). Overweight and obese women were also more likely to overestimate their weight gain recommendation (OR=4, p<0.001; OR=18, p<0.001, respectively) while normal weight women were more likely to underestimate their weight gain recommendation (p<0.001). Independent of BMI, women of New Zealand European ethnicity were less likely to underestimate their recommended gestational weight gain compared to other women of non-Māori/non-Pacific Island ethnicity (p=0.001), whereas younger women (p=0.012) were more likely to underestimate recommended gestational weight gain. The present study indicates that New Zealand women, particularly those who are overweight and obese, lack accurate knowledge of their own body size, and this may lead to an under- or over-estimation of appropriate gestational weight gain, which may in turn lead to increased risk of poor health outcomes in pregnancy. Education strategies related to healthy weight gain in pregnancy are urgently required.
Li, C; Engström, G; Hedblad, B; Calling, S; Berglund, G; Janzon, L
2006-12-01
Body mass index (BMI) is associated with increased incidence of cardiovascular disease (CVD). However, the risk could be very different for individuals with the same body mass. The present study explored whether regional fat distribution, as measured by waist-hip ratio (WHR), could modify the impact of BMI on the risk of CVD in men and women. Prospective population-based study. A total of 10 369 men and 16 638 women, 45-73 years old, from general population in Malmö, Sweden. All subjects were followed over 7 years for the incidences of first-ever cardiac event (CE) and ischemic stroke in relation to BMI category (<25.0, 25.0-29.9, > or =30.0) and WHR. The prevalence of overweight and obesity was 39.4 and 13.0%, respectively. During follow-up, 1280 subjects suffered a CVD event (750 CE, 530 ischemic stroke). The risk of CVD in women increased with increasing levels of WHR, irrespective of BMI category. In men, WHR (per 1 s.d. increase) was associated with increased incidence of CVD in those with normal weight (relative risk (RR)=1.24; 95% CI: 1.13-1.37) after adjustments for confounding factors. However, WHR was not related to CVD in overweight men (RR=1.06; 95%CI: 0.94-1.20) or obese men (RR=1.04; 95%CI: 0.87-1.24). A significant interaction was observed between sex and WHR on the CVD risk. The effect of WHR on incidence of CVD is modified by the overall body weight and by gender. WHR adds prognostic information on the cardiovascular risk in women at all levels of BMI, and in men with normal weight.
Pietrosimone, Brian; Kuenze, Christopher; Hart, Joseph M; Thigpen, Charles; Lepley, Adam S; Blackburn, J Troy; Padua, Darin A; Grindstaff, Terry; Davis, Hope; Bell, David
2018-05-01
Individuals with an anterior cruciate ligament reconstruction (ACLR) are susceptible to persistent disability, weight gain and the development of knee osteoarthritis. It remains unclear whether body mass index (BMI) is a factor that influences disability following ACLR. The purpose of this study was to determine the association between BMI and self-reported disability [International Knee Documentation Committee (IKDC) Index] in individuals with a unilateral ACLR. We hypothesized that lower BMI would associate with higher IKDC. BMI and IKDC were measured in 668 individuals with a unilateral ACLR (60.9% female, BMI 24.4 ± 3.7 kg/m 2 , IKDC 84.7 ± 11.9%). Bivariate associations were conducted between BMI and IKDC for the entire sample and selected subsets (gender, ACLR graft type and history of meniscal injury). Multiple regression analyses were used to determine the impact of potential covariates (Tegner score, age and months since ACLR) for significant bivariate associations. After accounting for covariates, there were no significant associations between BMI and IKDC when separately evaluating the cohort based on either gender or history of a concomitant meniscal injury. The odds of achieving age- and gender-matched healthy population average IKDC scores for those with low (<25) and high (≥25) BMI were determined. Lower BMI associated with higher IKDC (r = -0.08, P = 0.04). For the entire sample, BMI did not uniquely predict variance in IKDC (ΔR 2 > 0.001, n.s.) after accounting for covariates. BMI uniquely predicted a significant but negligible amount of variance in IKDC in individuals with a patellar tendon autograft (ΔR 2 = 0.015, n.s.). Individuals with low BMI demonstrated higher odds (odds ratio = 1.45; 1.05-1.99) of achieving population average IKDC scores compared to participants with high BMI. There was a significant but negligible correlation between lower BMI and lesser disability in individuals with unilateral ACLR and individuals who are underweight or of normal BMI demonstrated higher odds of achieving population average IKDC scores compared to overweight or obese individuals. While an overall association was found between lower BMI and lesser disability, the magnitude of the association remains negligible; therefore, BMI was not a strong clinical predictor of successful ACLR outcomes in this cohort of patients with unilateral ACLR. Cross-sectional prognostic study, Level II.
Jones, Megan; Taylor Lynch, Katherine; Kass, Andrea E; Burrows, Amanda; Williams, Joanne; Wilfley, Denise E; Taylor, C Barr
2014-02-27
Given the rising rates of obesity in children and adolescents, developing evidence-based weight loss or weight maintenance interventions that can be widely disseminated, well implemented, and are highly scalable is a public health necessity. Such interventions should ensure that adolescents establish healthy weight regulation practices while also reducing eating disorder risk. This study describes an online program, StayingFit, which has two tracks for universal and targeted delivery and was designed to enhance healthy living skills, encourage healthy weight regulation, and improve weight/shape concerns among high school adolescents. Ninth grade students in two high schools in the San Francisco Bay area and in St Louis were invited to participate. Students who were overweight (body mass index [BMI] >85th percentile) were offered the weight management track of StayingFit; students who were normal weight were offered the healthy habits track. The 12-session program included a monitored discussion group and interactive self-monitoring logs. Measures completed pre- and post-intervention included self-report height and weight, used to calculate BMI percentile for age and sex and standardized BMI (zBMI), Youth Risk Behavior Survey (YRBS) nutrition data, the Weight Concerns Scale, and the Center for Epidemiological Studies Depression Scale. A total of 336 students provided informed consent and were included in the analyses. The racial breakdown of the sample was as follows: 46.7% (157/336) multiracial/other, 31.0% (104/336) Caucasian, 16.7% (56/336) African American, and 5.7% (19/336) did not specify; 43.5% (146/336) of students identified as Hispanic/Latino. BMI percentile and zBMI significantly decreased among students in the weight management track. BMI percentile and zBMI did not significantly change among students in the healthy habits track, demonstrating that these students maintained their weight. Weight/shape concerns significantly decreased among participants in both tracks who had elevated weight/shape concerns at baseline. Fruit and vegetable consumption increased for both tracks. Physical activity increased among participants in the weight management track, while soda consumption and television time decreased. Results suggest that an Internet-based, universally delivered, targeted intervention may support healthy weight regulation, improve weight/shape concerns among participants with eating disorders risk, and increase physical activity in high school students. Tailored content and interactive features to encourage behavior change may lead to sustainable improvements in adolescent health.
Xie, Xiaobin; Zhang, Xiaojun; Fu, Jidi; Wang, Huaizhou; Jonas, Jost B; Peng, Xiaoxia; Tian, Guohong; Xian, Junfang; Ritch, Robert; Li, Lei; Kang, Zefeng; Zhang, Shoukang; Yang, Diya; Wang, Ningli
2013-07-24
The orbital subarachnoid space surrounding the optic nerve is continuous with the circulation system for cerebrospinal fluid (CSF) and can be visualized by using magnetic resonance imaging (MRI). We hypothesized that the orbital subarachnoid space width (OSASW) is correlated with and can serve as a surrogate for intracranial pressure (ICP). Our aim was to develop a method for a noninvasive measurement of the intracranial CSF-pressure (CSF-P) based on MRI-assisted OSASW. The prospective observational comparative study included neurology patients who underwent lumbar CSF-P measurement and 3.0-Tesla orbital magnetic resonance imaging (MRI) for other clinical reasons. The width of the orbital subarachnoid space (OSASW) around the optic nerve was measured with MRI at 3, 9, and 15 mm behind the globe. The study population was randomly divided into a training group and a test group. After adjusting for body mass index (BMI) and mean arterial blood pressure (MABP), algorithms for the associations between CSF-P and OSASW were calculated in the training group. The algorithms were subsequently verified in the test group. Main outcome measures were the width of the orbital subarachnoid space (OSASW) and the lumbar cerebrospinal fluid pressure (CSF-P). Seventy-two patients were included in the study. In the training group, the algorithms for the associations between CSF-P and OSASW were as follows: (a) CSF-P = 9.31 × OSASW (at 3 mm) + 0.48 × BMI + 0.14 × MABP-19.94; (b) CSF-P = 16.95 × OSASW (at 9 mm) + 0.39 × BMI + 0.14 × MABP-20.90; and (c) CSF-P = 17.54 × OSASW (at 15 mm) + 0.47 × BMI + 0.13 × MABP-21.52. Applying these algorithms in the independent test group, the measured lumbar CSF-P (13.6 ± 5.1 mm Hg) did not differ significantly from the calculated MRI-derived CSF-P (OSASW at 3 mm: 12.7 ± 4.2 mm Hg (P = 0.07); at 9 mm: 13.4 ± 5.1 mm Hg (P = 0.35); and at 15 mm: 14.0 ± 4.9 mm Hg (P = 0.87)). Intraclass correlation coefficients (ICCs) were higher for the CSF-P assessment based on OSASW at 9 mm and at 15 mm behind the globe (all ICCs, 0.87) than for OSASW measurements at 3 mm (ICC, 0.80). In patients with normal, moderately decreased or elevated ICP, MRI-assisted measurement of the OSASW appears to be useful for the noninvasive quantitative estimation of ICP, if BMI and MABP as contributing parameters are taken into account. Clinical trial registered with the Chinese Clinical Trial Registry: ChiCTR-OCC-11001271.
Harpsøe, Maria Christina; Kumar, Devinder; Andersson, Mikael; Jess, Tine
2018-01-01
Background Crohn’s disease (CD) has traditionally been associated with weight loss and low BMI, yet paradoxically obesity has recently been suggested as a risk factor for CD, but not for ulcerative colitis (UC). We therefore hypothesized that the relation between BMI and CD is U shaped. Aim To conduct a large population-based prospective cohort study of BMI and later risk of IBD, taking age at IBD diagnosis into account. Methods A cohort of 74,512 women from the Danish National Birth Cohort, with BMI measured pre-pregnancy and 18 months after delivery, was followed for 1,022,250 person-years for development of IBD, according to the Danish National Patient Register. Associations were tested by Cox regression. Results Overweight subjects (25≤BMI<30 kg/m2) had the lowest risk of CD, whereas obesity (BMI≥30kg/m2) increased the risk of CD at all ages, and low BMI (BMI<18.5kg/m2) associated with CD diagnosed at age 18-<40 years. Hence, using normal weight subjects as the reference, adjusted HRs for risk of developing CD (at age 18-<40 years) were 1.8(95%CI, 0.9–3.7) for underweight, 0.6(0.3–1.2) for overweight, and 1.5(0.8–2.7) for obese individuals (pre-pregnancy BMI). HRs were greater for BMI determined 18 months after delivery. Splines for CD risk according to waist:height ratio confirmed a U-shaped relationship with CD occurring <40 years, and a linear relationship with CD diagnosed at age 40+. There was no relationship between BMI and risk of UC. Conclusion For the first time, we demonstrate that both high BMI and low BMI are risk factors for CD. Underweight may be a pre-clinical manifestation of disease being present many years before onset with obesity being a true risk factor. This raises the question as to whether there may be two distinct forms of CD. PMID:29364914
Brown, Daniel E; Hampson, Sarah E; Dubanoski, Joan P; Murai, Amy Stone; Hillier, Teresa A
2009-01-01
This study determined ethnic differences in anthropometric measures of a sample of adults in Hawaii, examining the effects of differing degrees of ethnic admixing and socioeconomic status (SES) on the measures. Adults who had attended elementary school in Hawaii underwent anthropometric measurements and answered questionnaires about their educational attainment, income, age, cultural identity, ethnic ancestry, and health. Individuals reporting Asian American cultural identity had significantly lower mean body mass index (BMI) and waist circumference (WC) than others, whereas those with Hawaiian/Pacific Islander cultural identity had significantly higher BMI and WC. Educational attainment, but not reported family income and age, was significantly related to BMI and WC, and differences in educational attainment accounted for the increased mean BMI and WC in Hawaiian/Pacific Islanders, but did not account for the lower mean BMI and WC among Asian Americans. Higher percentage of Asian ancestry was significantly correlated with lower BMI and WC, whereas higher percentage of Hawaiian/Pacific Islander ancestry was significantly correlated with increased BMI and WC. Differences in education accounted for the significantly increased BMI in participants with a higher percentage of Hawaiian/Pacific Islander ancestry, but did not entirely account for the lower BMI in individuals with a higher percentage of Asian American ancestry. These results suggest that the high rate of obesity and its sequelae seen in Pacific Islanders may be more a result of socioeconomic status and lifestyle than of genetic propensity, whereas the lower rates of obesity observed in Asian American populations are less directly influenced by socioeconomic factors. (c) 2009 Wiley-Liss, Inc.
Brown, Daniel E.; Hampson, Sarah E.; Dubanoski, Joan P.; Murai, Amy Stone; Hillier, Teresa A.
2009-01-01
This study determined ethnic differences in anthropometric measures of a sample of adults in Hawaii, examining the effects of differing degrees of ethnic admixing and socioeconomic status (SES) on the measures. Adults who had attended elementary school in Hawaii underwent anthropometric measurements and answered questionnaires about their educational attainment, income, age, cultural identity, ethnic ancestry, and health. Individuals reporting Asian American cultural identity had significantly lower mean body mass index (BMI) and waist circumference (WC) than others, while those with Hawaiian/Pacific Islander cultural identity had significantly higher BMI and WC. Educational attainment, but not reported family income and age, was significantly related to BMI and WC, and differences in educational attainment accounted for the increased mean BMI and WC in Hawaiian/Pacific Islanders, but did not account for the lower mean BMI and WC among Asian Americans. Higher percentage of Asian ancestry was significantly correlated with lower BMI and WC, whereas higher percentage of Hawaiian/Pacific Islander ancestry was significantly correlated with increased BMI and WC. Differences in education accounted for the significantly increased BMI in participants with a higher percentage of Hawaiian/Pacific Islander ancestry, but did not entirely account for the lower BMI in individuals with a higher percentage of Asian American ancestry. These results suggest that the high rate of obesity and its sequelae seen in Pacific Islanders may be more a result of socioeconomic status and lifestyle than of genetic propensity, while the lower rates of obesity observed in Asian American populations are less directly influenced by socioeconomic factors. PMID:19213005
Mallett, Kimberly A; Ray, Anne E; Turrisi, Rob; Belden, Calum; Bachrach, Rachel L; Larimer, Mary E
2010-07-01
The current study tested age of onset as a moderator of intervention efficacy on drinking and consequence outcomes among a high-risk population of college students (i.e., former high school athletes). Students were randomized to one of four conditions: assessment only control, combined parent-based intervention (PBI) and brief motivational intervention (BMI), PBI alone, and BMI alone. Participants (n = 1,275) completed web-administered measures at baseline (summer before starting college) and 10-month follow-up. Overall, the combined intervention demonstrated the strongest and most consistent reductions across all outcomes, particularly with the youngest initiators. Participants who initiated drinking at the youngest ages had significantly lower peak drinking, typical weekly drinking, and reported consequences at follow-up when they received the combined intervention when compared to the control group. The BMI and PBI groups, when examined independently, demonstrated significant effects across outcomes but were inconsistent across the different age groups. Results suggest the combination of a PBI and a peer-delivered BMI is an appropriate and efficacious way to reduce drinking and related consequences among individuals who initiated drinking earlier in adolescence and are at an increased risk of experiencing alcohol problems.
Predicting body fat percentage based on gender, age and BMI by using artificial neural networks.
Kupusinac, Aleksandar; Stokić, Edita; Doroslovački, Rade
2014-02-01
In the human body, the relation between fat and fat-free mass (muscles, bones etc.) is necessary for the diagnosis of obesity and prediction of its comorbidities. Numerous formulas, such as Deurenberg et al., Gallagher et al., Jackson and Pollock, Jackson et al. etc., are available to predict body fat percentage (BF%) from gender (GEN), age (AGE) and body mass index (BMI). These formulas are all fairly similar and widely applicable, since they provide an easy, low-cost and non-invasive prediction of BF%. This paper presents a program solution for predicting BF% based on artificial neural network (ANN). ANN training, validation and testing are done by randomly divided dataset that includes 2755 subjects: 1332 women (GEN = 0) and 1423 men (GEN = 1), with AGE from 18 to 88 y and BMI from 16.60 to 64.60 kg/m(2). BF% was estimated by using Tanita bioelectrical impedance measurements (Tanita Corporation, Tokyo, Japan). ANN inputs are: GEN, AGE and BMI, and output is BF%. The predictive accuracy of our solution is 80.43%. The main goal of this paper is to promote a new approach to predicting BF% that has same complexity and costs but higher predictive accuracy than above-mentioned formulas. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
Komulainen, K; Pulkki-Råback, L; Jokela, M; Lyytikäinen, L-P; Pitkänen, N; Laitinen, T; Hintsanen, M; Elovainio, M; Hintsa, T; Jula, A; Juonala, M; Pahkala, K; Viikari, J; Lehtimäki, T; Raitakari, O; Keltikangas-Järvinen, L
2018-04-01
The life-course development of body mass index (BMI) may be driven by interactions between genes and obesity-inducing social environments. We examined whether lower parental or own education accentuates the genetic risk for higher BMI over the life course, and whether diet and physical activity account for the educational differences in genetic associations with BMI. The study comprised 2441 participants (1319 women, 3-18 years at baseline) from the prospective, population-based Cardiovascular Risk in Young Finns Study. BMI (kg/m 2 ) trajectories were calculated from 18 to 49 years, using data from six time points spanning 31 years. A polygenic risk score for BMI was calculated as a weighted sum of risk alleles in 97 single-nucleotide polymorphisms. Education was assessed via self-reports, measured prospectively from participants in adulthood and from parents when participants were children. Diet and physical activity were self-reported in adulthood. Mean BMI increased from 22.6 to 26.6 kg/m 2 during the follow-up. In growth curve analyses, the genetic risk score was associated with faster BMI increase over time (b=0.02, (95% CI, 0.01-0.02, P<0.001)). The association between the genetic risk score and BMI was more pronounced among those with lower educational level in adulthood (b=-0.12 (95% CI, -0.23-0.01); P=0.036)). No interaction effect was observed between the genetic risk score and parental education (b=0.05 (95% CI, -0.09-0.18; P=0.51)). Diet and physical activity explained little of the interaction effect between the genetic risk score and adulthood education. In this prospective study, the association of a risk score of 97 genetic variants with BMI was stronger among those with low compared with high education. This suggests lower education in adulthood accentuates the risk of higher BMI in people at genetic risk.
Twenty-five year trends in body mass index by education and income in Finland
2012-01-01
Background The socioeconomic gradient in obesity and overweight is amply documented. However, the contribution of different socioeconomic indicators on trends of body mass index (BMI) over time is less well known. The aim of this study was to investigate the associations of education and income with (BMI) from the late 1970s to the early 2000s. Methods Data were derived from nationwide cross-sectional health behaviour surveys carried out among Finns annually since 1978. This study comprises data from a 25-year period (1978–2002) that included 25 339 men and 25 330 women aged 25–64 years. BMI was based on self-reported weight and height. Education in years was obtained from the questionnaire and household income from the national tax register. In order to improve the comparability of the socioeconomic position measures, education and income were divided into gender-specific tertiles separately for each study year. Linear regression analysis was applied. Results An increase in BMI was observed among men and women in all educational and income groups. In women, education and income were inversely associated with BMI. The magnitudes of the associations fluctuated but stayed statistically significant over time. Among the Finnish men, socioeconomic differences were more complicated. Educational differences were weaker than among the women and income differences varied according to educational level. At the turn of the century, the high income men in the lowest educational group had the highest BMI whereas the income pattern in the highest educational group was the opposite. Conclusion No overall change in the socio-economic differences of BMI was observed in Finland between 1978 and 2002. However, the trends of BMI diverged in sub-groups of the studied population: the most prominent increase in BMI took place in high income men with low education and in low income men with high education. The results encourage further research on the pathways between income, education, living conditions and the increasing BMI. PMID:23113905
Chronic Inhibition, Self-Control and Eating Behavior: Test of a ‘Resource Depletion’ Model
Hagger, Martin S.; Panetta, Giulia; Leung, Chung-Ming; Wong, Ging Ging; Wang, John C. K.; Chan, Derwin K. C.; Keatley, David A.; Chatzisarantis, Nikos L. D.
2013-01-01
The current research tested the hypothesis that individuals engaged in long-term efforts to limit food intake (e.g., individuals with high eating restraint) would have reduced capacity to regulate eating when self-control resources are limited. In the current research, body mass index (BMI) was used as a proxy for eating restraint based on the assumption that individuals with high BMI would have elevated levels of chronic eating restraint. A preliminary study (Study 1) aimed to provide evidence for the assumed relationship between eating restraint and BMI. Participants (N = 72) categorized into high or normal-range BMI groups completed the eating restraint scale. Consistent with the hypothesis, results revealed significantly higher scores on the weight fluctuation and concern for dieting subscales of the restraint scale among participants in the high BMI group compared to the normal-range BMI group. The main study (Study 2) aimed to test the hypothesized interactive effect of BMI and diminished self-control resources on eating behavior. Participants (N = 83) classified as having high or normal-range BMI were randomly allocated to receive a challenging counting task that depleted self-control resources (ego-depletion condition) or a non-depleting control task (no depletion condition). Participants then engaged in a second task in which required tasting and rating tempting cookies and candies. Amount of food consumed during the taste-and-rate task constituted the behavioral dependent measure. Regression analyses revealed a significant interaction effect of these variables on amount of food eaten in the taste-and-rate task. Individuals with high BMI had reduced capacity to regulate eating under conditions of self-control resource depletion as predicted. The interactive effects of BMI and self-control resource depletion on eating behavior were independent of trait self-control. Results extend knowledge of the role of self-control in regulating eating behavior and provide support for a limited-resource model of self-control. PMID:24146942
Emery, Rebecca L; Levine, Michele D
2017-08-01
Although impulsivity has been implicated in the development and maintenance of obesity, evidence linking impulsivity to obesity has been mixed. These mixed findings may be related to differences in the type of impulsivity measures used and the varied domains of impulsivity assessed by each measure. The present meta-analysis aimed to examine the impact of measurement selection on the relationship between impulsivity and body mass index (BMI). A total of 142 articles met inclusion criteria and were comprised of 315,818 participants. Effect sizes consisted of Fisher's z-transformed correlation coefficients, which were weighted by the inverse variance to establish the grand mean estimate of the relationship between impulsivity and BMI. Overall weighted mean effect sizes also were computed for each type and domain of impulsivity measure. Moderator analyses were conducted using a mixed-effects approach to determine if the relationship between impulsivity and BMI varied between the types of impulsivity measures used. On average, participants were 32.25 (SD = 12.41) years of age, with a BMI of 26.63 (SD = 5.73) kg/m2. The overall relationship between impulsivity and BMI was small but significant (r = .07). Behavioral task measures of impulsivity produced significantly larger effect sizes (r = .10) than did questionnaire measures of impulsivity (r = .05). Domains of impulsivity that assessed disinhibited behaviors (r = .10), attentional deficits (r = .11), impulsive decision-making (r = .10), and cognitive inflexibility (r = .17) produced significant effect sizes. These meta-analytic findings demonstrate that impulsivity is positively associated with BMI and further document that this association varies by the type of impulsivity measure used and the domain of impulsivity assessed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Ouyang, Xiaojun; Lou, Qinlin; Gu, Liubao; Ko, Gary T; Mo, Yongzhen; Wu, Haidi; Bian, Rongwen
2015-01-01
There remains controversy regarding which of the anthropometric indicators best defines obesity. In this study, we compared the efficacy of using body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) in the diagnosis of obesity and assessed their associations with diabetes, hypertension, and dyslipidemia in an urban working population in China. Anthropometric measurements, blood pressure, plasma lipids, fasting and 2-hour plasma glucose (PG) levels by a 75 gram oral glucose tolerance test (OGTT) were obtained from 2603 working Chinese who had no history of cardiovascular diseases or diabetes. Cardio-metabolic risk factors including high blood pressure, dyslipidemia, and glucose intolerance were evaluated. The diagnoses of overweight and obesity were based on the WHO definitions with BMI for general obesity and WC and WHR for central obesity. Based on BMI, WC and WHR, there were 31.3%, 16.6%, 35.2% of the studied subjects, respectively, being overweight and 2.0%, 5.6%, 9.2% being obese. Among women but not men, more overweight and obese subjects were diagnosed using WHR and WC. The number of cardio-metabolic risks was higher by WC criterion than BMI and WHR in the whole group (p <0.05) and female subjects (p <0.01). Comparing the three anthropometric indexes predicting hypertension, hyperglycemia, dyslipidemia and multiple cardio-metabolic risks, for women, it was WC having the largest areas under ROC curves (0.759, 0.746, 0.701 and 0.773 respectively); while in men, it was WC for hypertension, WHR for hyperglycemia, BMI for dyslipidemia and WC for multiple cardio-metabolic risks (areas under ROC curves were 0.658, 0.686, 0.618 and 0.695 respectively). Among Chinese working population, the need of lower cutoff values to define overweight and obesity were observed. Central obesity indicator (WC) is the preferred measure to predict the presence of cardio-metabolic risk in Chinese female subjects.
Spencer, Monique E; Jain, Alka; Matteini, Amy; Beamer, Brock A; Wang, Nae-Yuh; Leng, Sean X; Punjabi, Naresh M; Walston, Jeremy D; Fedarko, Neal S
2010-08-01
Neopterin, a GTP metabolite expressed by macrophages, is a marker of immune activation. We hypothesize that levels of this serum marker alter with donor age, reflecting increased chronic immune activation in normal aging. In addition to age, we assessed gender, race, body mass index (BMI), and percentage of body fat (%fat) as potential covariates. Serum was obtained from 426 healthy participants whose age ranged from 18 to 87 years. Anthropometric measures included %fat and BMI. Neopterin concentrations were measured by competitive ELISA. The paired associations between neopterin and age, BMI, or %fat were analyzed by Spearman's correlation or by linear regression of log-transformed neopterin, whereas overall associations were modeled by multiple regression of log-transformed neopterin as a function of age, gender, race, BMI, %fat, and interaction terms. Across all participants, neopterin exhibited a positive association with age, BMI, and %fat. Multiple regression modeling of neopterin in women and men as a function of age, BMI, and race revealed that each covariate contributed significantly to neopterin values and that optimal modeling required an interaction term between race and BMI. The covariate %fat was highly correlated with BMI and could be substituted for BMI to yield similar regression coefficients. The association of age and gender with neopterin levels and their modification by race, BMI, or %fat reflect the biology underlying chronic immune activation and perhaps gender differences in disease incidence, morbidity, and mortality.
Body fat and body-mass index among a multiethnic sample of college-age men and women.
Carpenter, Catherine L; Yan, Eric; Chen, Steve; Hong, Kurt; Arechiga, Adam; Kim, Woo S; Deng, Max; Li, Zhaoping; Heber, David
2013-01-01
Obesity prevalence and average body composition vary by US race and gender. Asian Americans have the lowest prevalence of obesity. Relying on body-mass index (BMI) to estimate obesity prevalence may misclassify subgroups that appear normally weighted but have excess body fat. We evaluated percentage body fat (PBF) and BMI to determine whether BMI reflects PBF consistently across different races. 940 college students were recruited from a local public university over four consecutive years. We measured PBF by bioelectrical impedance analysis (BIA), weight by physicians' scales, and height with stadiometers. Our sample comprised Asians (49%), Caucasians (23%), Hispanics (7%), and Other (21%). Participants averaged 21.4 years old; BMI was 22.9 kg/m(2); PBF was 24.8%. BMI and PBF varied significantly by race and gender (P value = 0.002 and 0.005 for men; 0.0009 and 0.0008 for women). Asian-American women had the lowest BMI (21.5 kg/m(2)) but the second highest PBF (27.8%). Linear association between BMI and PBF was the weakest (r (2) = 0.09) among Asian-American women and BMI had the poorest sensitivity (37%) to detect PBF. The high PBF with low BMI pattern exhibited by Asian-American women suggests that they could escape detection for obesity-related disease if BMI is the sole measure that estimates body composition.
Boutelle, Kerri N; Rhee, Kyung E; Liang, June; Braden, Abby; Douglas, Jennifer; Strong, David; Rock, Cheryl L; Wilfley, Denise E; Epstein, Leonard H; Crow, Scott J
2017-07-01
Family-based weight loss treatment (FBT) is considered the gold-standard treatment for childhood obesity and is provided to the parent and child. However, parent-based treatment (PBT), which is provided to the parent without the child, could be similarly effective and easier to disseminate. To determine whether PBT is similarly effective as FBT on child weight loss over 24 months. Secondary aims evaluated the effect of these 2 treatments on parent weight loss, child and parent dietary intake, child and parent physical activity, parenting style, and parent feeding behaviors. Randomized 2-arm noninferiority trial conducted at an academic medical center, University of California, San Diego, between July 2011 and July 2015. Participants included 150 overweight and obese 8- to 12-year-old children and their parents. Both PBT and FBT were delivered in 20 one-hour group meetings with 30-minute individualized behavioral coaching sessions over 6 months. Treatments were similar in content; the only difference was the attendance of the child. The primary outcome measure was child weight loss (body mass index [BMI] and BMI z score) at 6, 12, and 18 months post treatment. Secondary outcomes were parent weight loss (BMI), child and parent energy intake, child and parent physical activity (moderate to vigorous physical activity minutes), parenting style, and parent feeding behaviors. One hundred fifty children (mean BMI, 26.4; mean BMI z score, 2.0; mean age, 10.4 years; 66.4% girls) and their parent (mean BMI, 31.9; mean age, 42.9 years; 87.3% women; and 31% Hispanic, 49% non-Hispanic white, and 20% other race/ethnicity) were randomly assigned to either FBT or PBT. Child weight loss after 6 months was -0.25 BMI z scores in both PBT and FBT. Intention-to-treat analysis using mixed linear models showed that PBT was noninferior to FBT on all outcomes at 6-, 12-, and 18-month follow-up with a mean difference in child weight loss of 0.001 (95% CI, -0.06 to 0.06). Parent-based treatment was as effective on child weight loss and several secondary outcomes (parent weight loss, parent and child energy intake, and parent and child physical activity). Parent-based treatment is a viable model to provide weight loss treatment to children. Clinicaltrials.gov Identifier: NCT01197443.
Azar, Kristen M. J.; Xiao, Lan; Ma, Jun
2013-01-01
Objective. To examine whether baseline obesity severity modifies the effects of two different, primary care-based, technology-enhanced lifestyle interventions among overweight or obese adults with prediabetes and/or metabolic syndrome. Patients and Methods. We compared mean differences in changes from baseline to 15 months in clinical measures of general and central obesity among participants randomized to usual care alone (n = 81) or usual care plus a coach-led group (n = 79) or self-directed individual (n = 81) intervention, stratified by baseline body mass index (BMI) category. Results. Participants with baseline BMI 35+ had greater reductions in mean BMI, body weight (as percentage change), and waist circumference in the coach-led group intervention, compared to usual care and the self-directed individual intervention (P < 0.05 for all). In contrast, the self-directed intervention was more effective than usual care only among participants with baseline BMIs between 25 ≤ 35. Mean weight loss exceeded 5% in the coach-led intervention regardless of baseline BMI category, but this was achieved only among self-directed intervention participants with baseline BMIs <35. Conclusions. Baseline BMI may influence behavioral weight-loss treatment effectiveness. Researchers and clinicians should take an individual's baseline BMI into account when developing or recommending lifestyle focused treatment strategy. This trial is registered with ClinicalTrials.gov NCT00842426. PMID:24369008
Méndez, Juan Pablo; Rojano-Mejía, David; Pedraza, Javier; Coral-Vázquez, Ramón Mauricio; Soriano, Ruth; García-García, Eduardo; Aguirre-García, María Del Carmen; Coronel, Agustín; Canto, Patricia
2013-05-01
Obesity and osteoporosis are two important public health problems that greatly impact mortality and morbidity. Several similarities between these complex diseases have been identified. The aim of this study was to analyze if different body mass indexes (BMIs) are associated with variations in bone mineral density (BMD) among postmenopausal Mexican-Mestizo women with normal weight, overweight, or different degrees of obesity. We studied 813 postmenopausal Mexican-Mestizo women. A structured questionnaire for risk factors was applied. Height and weight were used to calculate BMI, whereas BMD in the lumbar spine (LS) and total hip (TH) was measured by dual-energy x-ray absorptiometry. We used ANCOVA to examine the relationship between BMI and BMDs of the LS, TH, and femoral neck (FN), adjusting for confounding factors. Based on World Health Organization criteria, 15.13% of women had normal BMI, 39.11% were overweight, 25.96% had grade 1 obesity, 11.81% had grade 2 obesity, and 7.99% had grade 3 obesity. The higher the BMI, the higher was the BMD at the LS, TH, and FN. The greatest differences in size variations in BMD at these three sites were observed when comparing women with normal BMI versus women with grade 3 obesity. A higher BMI is associated significantly and positively with a higher BMD at the LS, TH, and FN.
Soft drinks consumption, diet quality and BMI in a Mediterranean population.
Balcells, Eva; Delgado-Noguera, Mario; Pardo-Lozano, Ricardo; Roig-González, Taïs; Renom, Anna; González-Zobl, Griselda; Muñoz-Ortego, Juan; Valiente-Hernández, Susana; Pou-Chaubron, Marina; Schröder, Helmut
2011-05-01
Evidence of the effects of soft drinks consumption on BMI and lifestyle in adult populations is mixed and quite limited. The aim of the present study was to determine the association of soft drinks consumption with BMI and lifestyle in a representative Mediterranean population. Two independent, population-based, cross-sectional (2000 and 2005) studies. Dietary intake was assessed using a validated FFQ. Weight and height were measured. Girona, Spain. Random sample of the 35- to 74-year-old population (3910 men and 4285 women). Less than half (41·7%) of the population consumed soft drinks; the mean consumption was 36·2 ml/d. The prevalence of sedentary lifestyle increased with the frequency of soft drinks consumption (P = 0·025). Daily soft drinks consumption significantly increased the risk of low adherence to the Mediterranean diet (OR = 0·57, 95% CI 0·44, 0·74 v. top tertile of Mediterranean diet score). Multiple linear regression analyses, controlled for potential confounders, revealed that an increment in soft drinks consumption of 100 ml was associated with a 0·21 kg/m² increase in BMI (P = 0·001). Only implausibly low reports of energy consumption showed a null association between soft drinks consumption and BMI. Soft drinks consumption was not embedded in a healthy diet context and was positively associated with BMI and sedentary lifestyle in this Mediterranean population.
Abdominal Circumference Versus Body Mass Index as Predictors of Lower Extremity Overuse Injury Risk.
Nye, Nathaniel S; Kafer, Drew S; Olsen, Cara; Carnahan, David H; Crawford, Paul F
2018-02-01
Abdominal circumference (AC) is superior to body mass index (BMI) as a measure of risk for various health outcomes. Our objective was to compare AC and BMI as predictors of lower extremity overuse injury (LEOI) risk. Retrospective review of electronic medical records of 79,868 US Air Force personnel over a 7-year period (2005-2011) for incidence of new LEOI. Subjects were stratified by BMI and AC. Injury risk for BMI/AC subgroups was calculated using Kaplan-Meier curves and Cox proportional-hazards regression. Receiver operating characteristic curves with area under the curve were used to compare each model's predictive value. Cox proportional-hazards regression showed significant risk association between elevated BMI, AC, and all injury types, with hazard ratios ranging 1.230-3.415 for obese versus normal BMI and 1.665-3.893 for high-risk versus low-risk AC (P < .05 for all measures). Receiver operating characteristic curves with area under the curve showed equivalent performance between BMI and AC for predicting all injury types. However, the combined model (AC and BMI) showed improved predictive ability over either model alone for joint injury, overall LEOI, and most strongly for osteoarthritis. Although AC and BMI alone performed similarly well, a combined approach using BMI and AC together improved risk estimation for LEOI.
Self-Reported Versus Accelerometer-Measured Physical Activity and Biomarkers Among NHANES Youth.
Belcher, Britni R; Moser, Richard P; Dodd, Kevin W; Atienza, Audie A; Ballard-Barbash, Rachel; Berrigan, David
2015-05-01
Discrepancies in self-report and accelerometer-measured moderate-to-vigorous physical activity (MVPA) may influence relationships with obesity-related biomarkers in youth. Data came from 2003-2006 National Health and Nutrition Examination Surveys (NHANES) for 2174 youth ages 12 to 19. Biomarkers were: body mass index (BMI, kg/m2), BMI percentile, height and waist circumference (WC, cm), triceps and subscapular skinfolds (mm), systolic & diastolic blood pressure (BP, mmHg), high-density lipoprotein (HDL, mg/dL), total cholesterol (mg/dL), triglycerides (mg/dL), insulin (μU/ml), C-reactive protein (mg/dL), and glycohemoglobin (%). In separate sex-stratified models, each biomarker was regressed on accelerometer variables [mean MVPA (min/day), nonsedentary counts, and MVPA bouts (mean min/day)] and self-reported MVPA. Covariates were age, race/ethnicity, SES, physical limitations, and asthma. In boys, correlations between self-report and accelerometer MVPA were stronger (boys: r = 0.14-0.21; girls: r = 0.07-0.11; P < .010) and there were significant associations with BMI, WC, triceps skinfold, and SBP and accelerometer MVPA (P < .01). In girls, there were no significant associations between biomarkers and any measures of physical activity. Physical activity measures should be selected based on the outcome of interest and study population; however, associations between PA and these biomarkers appear to be weak regardless of the measure used.
The Importance of Mid-to-Late-Life Body Mass Index Trajectories on Late-Life Gait Speed.
Windham, B Gwen; Griswold, Michael E; Wang, Wanmei; Kucharska-Newton, Anna; Demerath, Ellen W; Gabriel, Kelley Pettee; Pompeii, Lisa A; Butler, Kenneth; Wagenknecht, Lynne; Kritchevsky, Stephen; Mosley, Thomas H
2017-08-01
Prior studies suggest being overweight may be protective against poor functional outcomes in older adults. Body mass index (BMI, kg/m2) was measured over 25 years across five visits (1987-2011) among Atherosclerosis Risk in Communities Study participants (baseline Visit 1 n = 15,720, aged 45-64 years). Gait speed was measured at Visit 5 ("late-life", aged ≥65 years, n = 6,229). BMI trajectories were examined using clinical cutpoints and continuous mixed models to estimate effects of patterns of BMI change on gait speed, adjusting for demographics and comorbidities. Mid-life BMI (baseline visit; 55% women; 27% black) was associated with late-life gait speed 25 years later; gait speeds were 94.3, 89.6, and 82.1 cm/s for participants with baseline normal BMI (<25), overweight (25 ≤ BMI < 30), and obese (BMI ≥ 30) (p < .001). In longitudinal analyses, late-life gait speeds were 96.9, 88.8, and 81.3 cm/s for participants who maintained normal, overweight, and obese weight status, respectively, across 25 years (p < .01). Increasing BMI over 25 years was associated with poorer late-life gait speeds; a 1%/year BMI increase for a participant with a baseline BMI of 22.5 (final BMI 28.5) was associated with a 4.6-cm/s (95% confidence interval: -7.0, -1.8) slower late-life gait speed than a participant who maintained a baseline BMI of 22.5. Being overweight in older age was not protective of mobility function. Maintaining a normal BMI in mid- and late-life may help preserve late-life mobility. © The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Stature estimation using the knee height measurement amongst Brazilian elderly.
Fogal, Aline Siqueira; Franceschini, Sylvia do Carmo Castro; Priore, Silvia Eloiza; Cotta, Rosângela Minardi M; Ribeiro, Andréia Queiroz
2014-10-16
Stature is an important variable in several indices of nutritional status that are applicable to elderly persons. However, stature is difficult or impossible to measure in elderly because they are often unable to maintain the standing position. A alternative is the use of estimated height from measurements of knee height measure. This study aimed to evaluate the accuracy of the formula proposed by Chumlea et al. (1985) based on the knee of a Caucasian population to estimate the height and its application in calculation of body mass index in community- dwelling older people residents in Viçosa, Minas Gerais, Brazil. The sample included 621 elderly aged 60 years old and older, living in the community. Measures of weight, height and knee height (KH) were taken and Body Mass Index (BMI) was calculated with the measured weight and estimated. The Student`s t-test was used for comparison of measurements of height between the genders. For the comparison of estimated and measured values it was used paired t-test and also the methodology proposed by Bland and Altman to compare the difference between measurements. To evaluate the agreement between the classifications for BMI was used Cohen's Kappa. The average values obtained from KH were higher than those measured in the whole sample and women. There underestimation of BMI in females and also in the whole. The present results suggest that the equation Chumlea was not adequate to estimate the height of the sample in question, especially for women. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.
Xie, Yao Jie; Ho, Suzanne C; Liu, Zhao Min; Hui, Stanley Sai-Chuen
2014-01-01
To assess the validity of self-reported weight, height, body mass index (BMI), waist circumference and blood pressure compared with standardized clinical measurements and to determine the classification accuracy in overweight/obesity and central adiposity. This pilot study was integrated into a life-course study entitled "Hong Kong Women's Health Study" among 1,253 female nurses in Hong Kong who were aged 35 years to 65 years. Data were collected from self-administered questionnaires that were mailed to the respondents. Of these participants, we obtained the standard body measurements of 144 (11.5%) at our research center. We then compared the self-reported anthropometric variables and blood pressure with the measured data to assess validity based on the level of misreporting, percentage of agreement, consistency, sensitivity and specificity. The self-reported and measured values were highly correlated in terms of anthropometry and blood pressure (correlation coefficients ranged from 0.72 to 0.96). Height was overestimated at an average of 0.42 cm, and waist circumference was underestimated at 2.33 cm (both P<0.05), while no significant differences were observed from weight, blood pressure and BMI (all P>0.05). The proportions of overweight, obesity, and central adiposity by self-reported data did not vary greatly from the measured data (all P>0.05). The self-reporting resulted in correct classifications of BMI, waist circumference, and systolic blood pressure in 85%, 78%, and 87% of women, with corresponding Kappa index values of 0.79, 0.55, and 0.82, respectively. Sensitivity and specificity were 84.6% and 95.7%, respectively, with respect to overweight/obesity detection, whereas those for central adiposity detection were 70.6% and 83.8%, respectively. In a sample of female Hong Kong nurses, the self-reported measures of height, weight, BMI, waist circumference and blood pressure were generally valid. Furthermore, the classification accuracies of overweight/obesity and central adiposity were acceptable.
Mitchell, J A; Pate, R R; Beets, M W; Nader, P R
2013-01-01
To determine if time spent in objectively measured sedentary behavior is associated with a change in body mass index (BMI) between ages 9 and 15 years, adjusting for moderate-to-vigorous physical activity (MVPA). Prospective observational study of children at ages 9 (2000), 11 (2002), 12 (2003) and 15 years (2006). Longitudinal quantile regression was used to model the influence of predictors on changes at the 10th, 25th, 50th, 75th and 90th BMI percentiles over time. Participants were enrolled in the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development and include both boys and girls (n=789). Objectively measured BMI (kg m(-2)) was the outcome variable and objectively measured sedentary behavior was the main predictor. Adjustment was also made for MVPA, gender, race, maternal education, hours of sleep and healthy eating index. Increases in BMI were observed at all percentiles, with the greatest increase observed at the 90th BMI percentile. Spending more time in sedentary behavior (h per day) was associated with additional increases in BMI at the 90th, 75th and 50th BMI percentiles, independent of MVPA and the other covariates (90th percentile=0.59, 95% confidence interval (95% CI): 0.19-0.98 kg m(-2); 75th percentile=0.48, 95% CI: 0.25-0.72 kg m(-2); and 50th percentile=0.19, 95% CI: 0.05-0.33 kg m(-2)). No associations were observed between sedentary behavior and changes at the 25th and 10th BMI percentiles. Sedentary behavior was associated with greater increases in BMI at the 90th, 75th and 50th BMI percentiles between ages 9 and 15 years, independent of MVPA. Preventing an increase in sedentary behavior from childhood to adolescence may contribute to reducing the number of children classified as obese.
The persistent clustering of adult body mass index by school attended in adolescence.
Evans, Clare Rosenfeld; Lippert, Adam M; Subramanian, S V
2016-03-01
It is well known that adolescent body mass index (BMI) shows school-level clustering. We explore whether school-level clustering of BMI persists into adulthood. Multilevel models nesting young adults in schools they attended as adolescents are fit for 3 outcomes: adolescent BMI, self-report adult BMI and measured adult BMI. Sex-stratified and race/ethnicity-stratified (black, Hispanic, white, other) analyses were also conducted. School-level clustering (wave 1 intraclass correlation coefficient (ICC)=1.3%) persists over time (wave 4 ICC=2%), and results are comparable across stratified analyses of both sexes and all racial/ethnic groups (except for Hispanics when measured BMIs are used). Controlling for BMI in adolescence partially attenuates this effect. School-level clustering of BMI persists into young adulthood. Possible explanations include the salience of school environments in establishing behaviours and trajectories, the selection of adult social networks that resemble adolescent networks and reinforce previous behaviours, and characteristics of school catchment areas associated with BMI. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Sex differences in fat distribution influence the association between BMI and arterial stiffness.
van den Munckhof, Inge C L; Holewijn, Suzanne; de Graaf, Jacqueline; Rutten, Joost H W
2017-06-01
The increase in arterial stiffness in patients with the metabolic syndrome is strongly related to the amount of visceral adipose tissue. In clinical practice, anthropometric measurements such as BMI and waist circumference are commonly used to assess general and abdominal adiposity. Waist circumference is a composite measure of subcutaneous and visceral abdominal adipose tissue. As the distribution of intra-abdominal fat differs between men and women, we investigated the sex-specific associations between different anthropometric measures for general and abdominal obesity with arterial stiffness. A cross-sectional descriptive study was performed in 1517 participants of the Nijmegen Biomedical Study, aged 50-70 years. After measurement of height, waist circumference and hip circumference, the following indices were calculated: BMI, waist-hip ratio and waist-height ratio (WHtR). Arterial stiffness was assessed by measurement of carotid-femoral pulse wave velocity (PWV). The association between the anthropometric indices and vascular stiffness was investigated by linear regression analysis adjusting for the traditional cardiovascular risk factors. BMI, waist circumference, waist-hip ratio and WHtR correlated positively with PWV in univariate analysis both in men and women (all P < 0.016). Hip circumference was only associated with PWV in women (P < 0.001). After adjustment for age and heart rate, waist circumference and WHtR (standardized beta of 0.142 and 0.141, respectively, both P < 0.001) showed the strongest associations with PWV in men, whereas in women only BMI was associated with PWV (standardized beta of 0.177, P < 0.001). In men, WHtR was independently related to increased arterial stiffness, after adjustment for BMI and traditional cardiovascular risk factors. In women, in multivariate analyses, BMI remained significantly positively associated with PWV, whereas WHtR became negatively associated with PWV. Sex-related differences in adipose tissue distribution influence the association between anthropometric measures of obesity and vascular stiffness as measured with by PWV. We found that in men, WHtR showed the strongest association with PWV, whereas in women BMI was best associated with a higher PWV.
Bock, Dirk E; Robinson, Tracy; Seabrook, Jamie A; Rombeek, Meghan; Norozi, Kambiz; Filler, Guido; Rauch, Ralf; Clarson, Cheril L
2014-12-05
Though recent data suggest that multidisciplinary outpatient interventions can have a positive effect on childhood obesity, it is still unclear which program components are most beneficial and how they affect quality of life (QoL). The aim of this study was to determine if a 1-year multidisciplinary, family-centered outpatient intervention based on social cognitive theory would be effective in (i) preventing further increases in BMI and BMI z-score, and (ii) improving QoL in obese children and adolescents. Obese children and adolescents 8-17 years of age and their families participated in this 1-year longitudinal pilot intervention study. The intervention consisted of fifteen 90-minute educational sessions led by a dietitian, exercise specialist, and social worker. Anthropometric measures, body composition, and QoL (Pediatric Quality of Life Inventory 4.0), were assessed at baseline, 3 months, and 12 months. Laboratory values were measured at baseline and 12 months. The primary outcome measures were change in BMI and BMI z-score, secondary outcome measures included change in QoL and body composition. A paired sample t-test was used to assess within-group differences and 95% confidence intervals were reported for the mean differences. 42 obese children and adolescents (21 girls) completed the 1-year intervention (mean age 12.8 ± 3.14 years). Mean baseline BMI was 31.96 ± 5.94 kg/m(2) and BMI z-score was +2.19 ± 0.34. Baseline QoL (self-assessments and parental assessments) was impaired: mean baseline scores were 74.5 ± 16.5 and 63.7 ± 19.4 for physical functioning and 69.0 ± 14.9 and 64.0 ± 18.3 for emotional functioning, respectively. At 12 months, BMI z-score had decreased (-0.07 ± 0.11, 95% CI: -0.11 to -0.04). BMI (0.80 ± 1.57 kg/m(2), 95% CI 0.31 to 1.29) and fat-free mass (4.02 ± 6.27 kg, 95% CI 1.90 to 6.14) increased, but % body fat and waist circumference did not. Both the parent-reported physical (11.3 ± 19.2, 95% CI 4.7 to 17.9) and emotional (7.7 ± 15.7, 95% CI 2.3 to 13.0) functioning QoL scores and the children's self-reported physical (5.3 ± 17.1, 95% CI 0.5 to 11.1) and emotional (7.9 ± 14.3, 95% CI 3.2 to 12.7) functioning scores significantly improved. Following a 1-year intervention, the participants' BMI z-scores and QoL improved, while other adiposity-related measures of body composition remained unchanged. UMIN Clinical Trials Registry UMIN000015622 .
Hill, Rebecca J; Davies, Peter S W
2013-04-01
It is reported that malnutrition is not a feature of ulcerative colitis (UC). Body mass index (BMI) is frequently used clinically to indicate nutritional status; however, it is a proxy measure at best, and body cell mass (BCM) is a much more accurate representation. The present study aims to investigate BMI in patients with UC in relation to their BCM. A total of 18 patients (7M; 11F) had their nutritional status (BCM) measured using total body potassium⁴⁰ counting every 6 months to yield a total of 77 measurements. BCM measurements were adjusted for height and sex, and BMI was calculated as weight/height², with z scores determined for both parameters. Disease activity was determined using the Pediatric Ulcerative Colitis Activity Index. Mean (±SD) height, weight, BMI, and BCM z scores were 0.39 (0.96), 0.20 (1.08), -0.05 (1.18), and -0.74 (1.41), respectively. No correlation was found between BMI and BCM z scores, and these z scores were significantly different (P=0.02), particularly in the moderate/severe disease activity group (P=0.01). Mean BCM z scores were -0.69 (1.65) of a z score below BMI z scores. Furthermore, where BMI z scores showed no relation to disease activity and no differences between disease activity categories, BCM z scores were significantly negatively correlated (r=-0.32, P=0.01), with significantly lower scores found in the moderate/severe group (P=0.01). Simply calculating BMI in patients with UC does not give adequate information regarding nutritional status, and more accurate, yet easily accessible "bedside" techniques need to be determined to improve patient care.
Liu, Z; Huang, J; Qian, D; Chen, F; Xu, J; Li, S; Jin, L; Wang, X
2016-02-01
To examine the relationship between body mass index (BMI) and subjective well-being (SWB) among long-lived women over 95 years of age and evaluate whether this relationship is mediated by functional ability. Retrospective cohort study. Data from the Rugao longevity cohort, a population-based study in Rugao, China. A sample of 342 long-lived women (mean age 97.4 ± 2.1, range 95-107) whose SWB and other covariates were available were included in this study. BMI was calculated as weight in kilograms divided by height in meters-squared (kg/m(2)). SWB was measured by life satisfaction (LS), positive affect (PA), negative affect (NA) and affect balance (AB). Functional ability was assessed by the Katz Index of Activities of Daily Living (ADL). According to BMI classification standards for China, the underweight group had lower levels of LS than the normal and overweight groups (28.62 vs. 30.51 and 31.57, respectively; p<.05). Correlation analysis showed that BMI was significantly related to LS (r = 0.166, p<.01). The strength of the BMI and LS association was diminished when ADL was included in the general linear regression models. Mediation analysis revealed that ADL mediated this relationship (effect size = 22.6%). We did not observe significant associations of BMI with other SWB components (PA, NA, and AB). For long-lived women, low BMI, rather than elevated BMI, is an indicator of poor psychological well-being. The findings call for public health awareness about low body weight in long-lived women, especially in those with physical disabilities when focusing on quality of life.
Ceccarini, J; Weltens, N; Ly, H G; Tack, J; Van Oudenhove, L; Van Laere, K
2016-07-12
Although of great public health relevance, the mechanisms underlying disordered eating behavior and body weight regulation remain insufficiently understood. Compelling preclinical evidence corroborates a critical role of the endocannabinoid system (ECS) in the central regulation of appetite and food intake. However, in vivo human evidence on ECS functioning in brain circuits involved in food intake regulation as well as its relationship with body weight is lacking, both in health and disease. Here, we measured cannabinoid 1 receptor (CB1R) availability using positron emission tomography (PET) with [(18)F]MK-9470 in 54 patients with food intake disorders (FID) covering a wide body mass index (BMI) range (anorexia nervosa, bulimia nervosa, functional dyspepsia with weight loss and obesity; BMI range=12.5-40.6 kg/m(2)) and 26 age-, gender- and average BMI-matched healthy subjects (BMI range=18.5-26.6 kg/m(2)). The association between regional CB1R availability and BMI was assessed within predefined homeostatic and reward-related regions of interest using voxel-based linear regression analyses. CB1R availability was inversely associated with BMI in homeostatic brain regions such as the hypothalamus and brainstem areas in both patients with FID and healthy subjects. However, in FID patients, CB1R availability was also negatively correlated with BMI throughout the mesolimbic reward system (midbrain, striatum, insula, amygdala and orbitofrontal cortex), which constitutes the key circuit implicated in processing appetitive motivation and hedonic value of perceived food rewards. Our results indicate that the cerebral homeostatic CB1R system is inextricably linked to BMI, with additional involvement of reward areas under conditions of disordered body weight.
Legleye, Stéphane; Beck, François; Spilka, Stanislas; Chau, Nearkasen
2014-01-01
To propose a simple correction of body-mass index (BMI) based on self-reported weight and height (reported BMI) using gender, body shape perception and socioeconomic status in an adolescent population. 341 boys and girls aged 17-18 years were randomly selected from a representative sample of 2165 French adolescents living in Paris surveyed in 2010. After an anonymous self-administered pen-and-paper questionnaire asking for height, weight, body shape perception (feeling too thin, about the right weight or too fat) and socioeconomic status, subjects were measured and weighed. BMI categories were computed according to Cole's cut-offs. Reported BMIs were corrected using linear regressions and ROC analyses and checked with cross-validation and multiple imputations to handle missing values. Agreement between actual and corrected BMI values was estimated with Kappa indexes and Intraclass correlation coefficients (ICC). On average, BMIs were underreported, especially among girls. Kappa indexes between actual and reported BMI were low, especially for girls: 0.56 95%CI = [0.42-0.70] for boys and 0.45 95%CI = [0.30-0.60] for girls. The regression of reported BMI by gender and body shape perception gave the most balanced results for both genders: the Kappa and ICC obtained were 0.63 95%CI = [0.50-0.76] and 0.67, 95%CI = [0.58-0.74] for boys; 0.65 95%CI = [0.52-0.78] and 0.74, 95%CI = [0.66-0.81] for girls. The regression of reported BMI by gender and socioeconomic status led to similar corrections while the ROC analyses were inaccurate. Using body shape perception, or socioeconomic status and gender is a promising way of correcting BMI in self-administered questionnaires, especially for girls.
Gogniat, Marissa Ann; Robinson, Talia Loren; Mewborn, Catherine Mattocks; Jean, Kharine Renee; Miller, L Stephen
2018-04-22
Obesity is a growing concern worldwide because of its adverse health effects, including its negative impact on cognitive functioning. This concern is especially relevant for older adults, who are already likely to experience some cognitive decline and loss of brain volume due to aging, (Gea et al., 2002). However, there is some evidence that higher body mass index (BMI) may actually be protective in later life (Hughes et al., 2009; Luchsinger et al., 2007; Nilsson and Nilsson, 2009; Sturman et al., 2008). Therefore, the purpose of the current study was to assess the relationship between BMI and neuropsychological functioning in older adults, and concurrently the relationship between BMI and brain volume. Older adults (N = 88) reported height and weight to determine BMI (M = 26.5) based on Centers for Disease Control and Prevention (CDC) guidelines. Cognitive function was assessed with the Repeatable Battery for Assessment of Neuropsychological Status (RBANS). Brain volume measurements were evaluated via structural MRI. Results indicated no association between BMI and neuropsychological functioning. There was a significant association between BMI and total grey matter volume while controlling for age and years of education (β = 0.208, p = .026, ΔR 2 = 0.043), indicating that as BMI increased, brain volume in these areas modestly increased. However, these results did not survive multiple comparison corrections and were further attenuated to near significance when sex was explicitly added as an additional covariate. Nevertheless, while replication is clearly needed, these results suggest that moderately greater BMI in later life may modestly attenuate concomitant grey matter volume decline. Copyright © 2018 Elsevier B.V. All rights reserved.
Guinn, Caroline H; Baxter, Suzanne D; Royer, Julie A; Hitchcock, David B
2013-05-01
A 2010 publication showed a positive relationship between children's body mass index (BMI) and energy intake at school-provided meals (as assessed by direct meal observations). To help explain that relationship, we investigated 7 outcome variables concerning aspects of school-provided meals: energy content of items selected, number of meal components selected, number of meal components eaten, amounts eaten of standardized school-meal portions, energy intake from flavored milk, energy intake received in trades, and energy content given in trades. Fourth-grade children (N = 465) from Columbia, SC, were observed eating school-provided breakfast and lunch on 1 to 4 days per child. Researchers measured children's weight and height. For daily values at school meals, a generalized linear model was fit with BMI (dependent variable) and the 7 outcome variables, sex, and age (independent variables). BMI was positively related to amounts eaten of standardized school-meal portions (p < .0001) and increased 8.45 kg/m(2) per serving, controlling for other variables in the model. BMI was positively related to energy intake from flavored milk (p = .0041) and increased 0.347 kg/m(2) for every 100 kcal consumed. BMI was negatively related to energy intake received in trades (p = .0003) and decreased 0.468 kg/m(2) for every 100 kcal received. BMI was not significantly related to 4 outcome variables. Knowing that relationships between BMI and actual consumption, not selection, at school-provided meals explained the (previously found) positive relationship between BMI and energy intake at school-provided meals is helpful for school-based obesity interventions. © 2013, American School Health Association.
High Body Mass Index in Infancy May Predict Severe Obesity in Early Childhood.
Smego, Allison; Woo, Jessica G; Klein, Jillian; Suh, Christina; Bansal, Danesh; Bliss, Sherri; Daniels, Stephen R; Bolling, Christopher; Crimmins, Nancy A
2017-04-01
To characterize growth trajectories of children who develop severe obesity by age 6 years and identify clinical thresholds for detection of high-risk children before the onset of obesity. Two lean (body mass index [BMI] 5th to ≤75th percentile) and 2 severely obese (BMI ≥99th percentile) groups were selected from populations treated at pediatric referral and primary care clinics. A population-based cohort was used to validate the utility of identified risk thresholds. Repeated-measures mixed modeling and logistic regression were used for analysis. A total of 783 participants of normal weight and 480 participants with severe obesity were included in the initial study. BMI differed significantly between the severely obese and normal-weight cohorts by age 4 months (P < .001), at 1 year before the median age at onset of obesity. A cutoff of the World Health Organization (WHO) 85th percentile for BMI at 6, 12, and 18 months was a strong predictor of severe obesity by age 6 years (sensitivity, 51%-95%; specificity, 95%). This BMI threshold was validated in a second independent cohort (n = 2649), with a sensitivity of 33%-77% and a specificity of 74%-87%. A BMI ≥85th percentile in infancy increases the risk of severe obesity by age 6 years by 2.5-fold and the risk of clinical obesity by age 6 years by 3-fold. BMI trajectories in children who develop severe obesity by age 6 years differ from those in children who remain at normal weight by age 4-6 months, before the onset of obesity. Infants with a WHO BMI ≥85th percentile are at increased risk for developing severe obesity by age 6 years. Copyright © 2016 Elsevier Inc. All rights reserved.
Sarzynski, M A; Rankinen, T; Earnest, C P; Leon, A S; Rao, D C; Skinner, J S; Bouchard, C
2013-01-01
The purpose of this study was to examine how well two commonly used age-based prediction equations for maximal heart rate (HRmax ) estimate the actual HRmax measured in Black and White adults from the HERITAGE Family Study. A total of 762 sedentary subjects (39% Black, 57% Females) from HERITAGE were included. HRmax was measured during maximal exercise tests using cycle ergometers. Age-based HRmax was predicted using the Fox (220-age) and Tanaka (208 - 0.7 × age) formulas. The standard error of estimate (SEE) of predicted HRmax was 12.4 and 11.4 bpm for the Fox and Tanaka formulas, respectively, indicating a wide-spread of measured-HRmax values are compared to their age-predicted values. The SEE (shown as Fox/Tanaka) was higher in Blacks (14.4/13.1 bpm) and Males (12.6/11.7 bpm) compared to Whites (11.0/10.2 bpm) and Females (12.3/11.2 bpm) for both formulas. The SEE was higher in subjects above the BMI median (12.8/11.9 bpm) and below the fitness median (13.4/12.4 bpm) when compared to those below the BMI median (12.2/11.0 bpm) and above the fitness median (11.4/10.3) for both formulas. Our findings show that based on the SEE, the prevailing age-based estimated HRmax equations do not precisely predict an individual's measured-HRmax . Copyright © 2013 Wiley Periodicals, Inc.
Effects of a Family-Based Childhood Obesity Treatment Program on Parental Weight Status
Trier, Cæcilie; Dahl, Maria; Stjernholm, Theresa; Nielsen, Tenna R. H.; Bøjsøe, Christine; Fonvig, Cilius E.; Pedersen, Oluf; Hansen, Torben; Holm, Jens-Christian
2016-01-01
Objective The aim of this study was to investigate the prevalence of overweight/obesity among parents of children entering childhood obesity treatment and to evaluate changes in the parents’ weight statuses during their child’s treatment. Methods The study included parents of 1,125 children and adolescents aged 3–22 years, who were enrolled in a multidisciplinary childhood obesity treatment program. At baseline, weight and height of the parents were obtained by self-reported information and parental body mass index (BMI) was calculated. Weight and height of the children were measured in the clinic and BMI standard deviation scores were calculated. Furthermore, anthropometric data from parents of 664 children were obtained by telephone interview after a mean of 2.5 years of treatment (ranging 16 days to 7 years), and changes in parental BMI were analyzed. Results Data on changes in BMI were available in 606 mothers and 479 fathers. At baseline, the median BMI of the mothers was 28.1 kg/m2 (range: 16.9–66.6), and the median BMI of the fathers was 28.9 kg/m2 (range: 17.2–48.1). Seventy percent of the mothers and 80% of the fathers were overweight or obese at the time of their child’s treatment initiation. Both the mothers and fathers lost weight during their child’s treatment with a mean decrease in BMI in the mothers of 0.5 (95% CI: 0.2–0.8, p = 0.0006) and in the fathers of 0.4 (95% CI: 0.2–0.6, p = 0.0007). Of the overweight/obese parents, 60% of the mothers and 58% of the fathers lost weight during their child’s treatment. Conclusion There is a high prevalence of overweight/obesity among parents of children entering childhood obesity treatment. Family-based childhood obesity treatment with a focus on the child has a positive effect on parental BMI with both mothers and fathers losing weight. Trial Registration ClinicalTrials.gov NCT00928473 PMID:27560141
Sleddens, Ester F C; Gubbels, Jessica S; Kremers, Stef P J; van der Plas, Eline; Thijs, Carel
2017-07-06
It has been generally assumed that activity-related parenting practices influence children's activity behavior and weight status. However, vice versa parents may also change their parenting behaviors in response to their perceptions of their child's activity behavior and weight status. This study examined the bidirectional relationships between activity-related parenting practices, and physical activity, sedentary screen-based behavior, and body mass index (BMI) between children's age of 5 and 7 years. Three scales of the Activity-related Parenting Questionnaire (i.e. 'restriction of sedentary behavior', 'stimulation of physical activity', and 'monitoring of physical activity') were completed by 1694 parents of the Dutch KOALA Birth Cohort Study at the child's age of around 5 and again around age 7. Physical activity, sedentary screen-based behavior and BMI were measured at both ages as well. Linear regression models were used to estimate the bidirectional associations between each parenting practice and the child's physical activity levels, sedentary screen-based behavior and BMI z-scores. Several parenting practices at age 5 predicted child physical activity, sedentary screen-based behavior, and BMI z-scores at age 7. Restriction of sedentary behavior positively predicted child BMI and sedentary screen-based behavior, whereas this practice negatively predicted child physical activity. In addition, stimulation of physical activity at age 5 was significantly associated with higher levels of child physical activity at age 7. The following child factors at age 5 predicted parenting practices at age 7: Child physical activity positively predicted parental stimulation of physical activity and monitoring activities. Sedentary screen-based behavior was associated with lower parental stimulation to be active. Findings generally revealed that parents and children mutually influence each other's behavior. A reinforcing feedback loop was present between parental stimulation of physical activity and child physical activity. Bidirectional parent-child interaction should be considered in future research in order to properly inform parenting-related intervention programs aimed at preventing or treating childhood overweight or obesity. System dynamic methods to explore the existence of reinforcing or balancing loops are needed in this regard.
2011 Health Related Behaviors Survey of Active Duty Military Personnel
2013-02-01
oatmeal, etc. e. DAIRY: milk , yogurt, cheese, etc. f. LEAN PROTEIN : baked or broiled lean (low fat ) meat, eggs, natural peanut butter, nuts, beans or...2010).19 One measure of weight management is the Body Mass Index (BMI), an indirect measure of body fat , to detect possible weight problems. BMI...BMI does not distinguish between muscle mass and body fat in a person’s body; as such, there may be
Liabsuetrakul, Tippawan
2011-06-01
An observational study was conducted in the four southernmost provinces of Thailand aiming at determining the effect of international or Asian criteria-based body mass index (BMI) in predicting maternal anaemia, low birthweight (LBW), and preterm births among pregnant Thai women and the change in haemoglobin (Hb) level during pregnancy. Maternal anaemia was defined as a haemoglobin (Hb) level of <11 g/dL. Anaemia was detected in 27.4% and 26.9% of 1192 pregnant women at their first prenatal visit and the third trimester respectively. The proportions of overweight and obese women according to the Asian criteria-based pre-pregnancy BMI were higher than the international criteria-based BMI (22.4% and 10.1% vs 15.5% and 3.4% respectively). No significant difference between pre-pregnancy BMI and pregnancy BMI at the first prenatal visit was demonstrated (mean +/- standard deviation = 21.8 +/- 4.0 vs. 22.8 +/- 4.1). Underweight women had a significantly higher prevalence of maternal anaemia, LBW, and preterm birth compared to women with normal weight. Overweight and obese women at pre-pregnancy by the Asian criteria-based BMI had a lower prevalence of anaemia. The Hb levels did not change significantly over time. In addition to BMI, maternal age, parity, and late prenatal visit were independently associated with maternal anaemia, low birthweight, and preterm birth. Underweight pregnant women classified by international or Asian criteria-based BMI increased the risk of maternal anaemia, low birthweight, and preterm birth.
2011-01-01
An observational study was conducted in the four southernmost provinces of Thailand aiming at determining the effect of international or Asian criteria-based body mass index (BMI) in predicting maternal anaemia, low birthweight (LBW), and preterm births among pregnant Thai women and the change in haemoglobin (Hb) level during pregnancy. Maternal anaemia was defined as a haemoglobin (Hb) level of <11 g/dL. Anaemia was detected in 27.4% and 26.9% of 1,192 pregnant women at their first prenatal visit and the third trimester respectively. The proportions of overweight and obese women according to the Asian criteria-based pre-pregnancy BMI were higher than the international criteria-based BMI (22.4% and 10.1% vs 15.5% and 3.4% respectively). No significant difference between pre-pregnancy BMI and pregnancy BMI at the first prenatal visit was demonstrated (mean±standard deviation=21.8±4.0 vs 22.8±4.1). Underweight women had a significantly higher prevalence of maternal anaemia, LBW, and preterm birth compared to women with normal weight. Overweight and obese women at pre-pregnancy by the Asian criteria-based BMI had a lower prevalence of anaemia. The Hb levels did not change significantly over time. In addition to BMI, maternal age, parity, and late prenatal visit were independently associated with maternal anaemia, low birthweight, and preterm birth. Underweight pregnant women classified by international or Asian criteria-based BMI increased the risk of maternal anaemia, low birthweight, and preterm birth. PMID:21766557
Pomeroy, Emma; Stock, Jay T; Stanojevic, Sanja; Miranda, J Jaime; Cole, Tim J; Wells, Jonathan C K
2014-01-01
The causes of the "dual burden" of stunting and obesity remain unclear, and its existence at the individual level varies between populations. We investigate whether the individual dual burden differentially affects low socioeconomic status Peruvian children from contrasting environments (urban lowlands and rural highlands), and whether tibia length can discount the possible autocorrelation between adiposity proxies and height due to height measurement error. Stature, tibia length, weight, and waist circumference were measured in children aged 3-8.5 years (n = 201). Height and body mass index (BMI) z scores were calculated using international reference data. Age-sex-specific centile curves were also calculated for height, BMI, and tibia length. Adiposity proxies (BMI z score, waist circumference-height ratio (WCHtR)) were regressed on height and also on tibia length z scores. Regression model interaction terms between site (highland vs. lowland) and height indicate that relationships between adiposity and linear growth measures differed significantly between samples (P < 0.001). Height was positively associated with BMI among urban lowland children, and more weakly with WCHtR. Among rural highland children, height was negatively associated with WCHtR but unrelated to BMI. Similar results using tibia length rather than stature indicate that stature measurement error was not a major concern. Lowland and rural highland children differ in their patterns of stunting, BMI, and WCHtR. These contrasts likely reflect environmental differences and overall environmental stress exposure. Tibia length or knee height can be used to assess the influence of measurement error in height on the relationship between stature and BMI or WCHtR. Copyright © 2014 Wiley Periodicals, Inc.
Immigrants' acculturation and changes in Body Mass Index.
Iversen, Tor; Ma, Ching-to Albert; Meyer, Haakon E
2013-01-01
We study Body Mass Index (BMI) changes among immigrants from Iran, Pakistan, Sri Lanka, Turkey, and Vietnam relative to native Norwegians in Oslo. We assess the effect of acculturation on BMI changes. We hypothesize that acculturation reduces the gap of BMIs between natives and immigrants. Acculturation is measured by immigrants' language skills. Our data come from two surveys in Oslo 2000-2002. Weights and heights were measured at the surveys; participants were asked to recall weights when they were 25 years old. Norwegian language skills and socio-economic data were collected. Our findings support our hypothesis. Acculturation, as measured by proficiency in the Norwegian language, has the predicted effects on BMI changes. We do not find any effect of immigrants' time of residency on BMI changes. Copyright © 2012 Elsevier B.V. All rights reserved.
Does higher education protect against obesity? Evidence using Mendelian randomization.
Böckerman, Petri; Viinikainen, Jutta; Pulkki-Råback, Laura; Hakulinen, Christian; Pitkänen, Niina; Lehtimäki, Terho; Pehkonen, Jaakko; Raitakari, Olli T
2017-08-01
The aim of this explorative study was to examine the effect of education on obesity using Mendelian randomization. Participants (N=2011) were from the on-going nationally representative Young Finns Study (YFS) that began in 1980 when six cohorts (aged 30, 33, 36, 39, 42 and 45 in 2007) were recruited. The average value of BMI (kg/m 2 ) measurements in 2007 and 2011 and genetic information were linked to comprehensive register-based information on the years of education in 2007. We first used a linear regression (Ordinary Least Squares, OLS) to estimate the relationship between education and BMI. To identify a causal relationship, we exploited Mendelian randomization and used a genetic score as an instrument for education. The genetic score was based on 74 genetic variants that genome-wide association studies (GWASs) have found to be associated with the years of education. Because the genotypes are randomly assigned at conception, the instrument causes exogenous variation in the years of education and thus enables identification of causal effects. The years of education in 2007 were associated with lower BMI in 2007/2011 (regression coefficient (b)=-0.22; 95% Confidence Intervals [CI]=-0.29, -0.14) according to the linear regression results. The results based on Mendelian randomization suggests that there may be a negative causal effect of education on BMI (b=-0.84; 95% CI=-1.77, 0.09). The findings indicate that education could be a protective factor against obesity in advanced countries. Copyright © 2017 Elsevier Inc. All rights reserved.
Danaei, Goodarz; Singh, Gitanjali M; Paciorek, Christopher J; Lin, John K; Cowan, Melanie J; Finucane, Mariel M; Farzadfar, Farshad; Stevens, Gretchen A; Riley, Leanne M; Lu, Yuan; Rao, Mayuree; Ezzati, Majid
2014-01-01
Background It is commonly assumed that globally CVD risk factors are associated with affluence and Westernization. We investigated the associations of body mass index (BMI), fasting plasma glucose (FPG), systolic blood pressure (SBP), and serum total cholesterol (TC) with national income, Western diet, and (for BMI) urbanization in 1980 and 2008. Methods and Results Country-level risk factor estimates for 199 countries between 1980 and 2008 were from a previous systematic analysis of population-based data. We analyzed the associations between risk factors and natural logarithm of per-capita GDP [Ln(GDP)], a measure of Western diet, and (for BMI) percent population living in urban areas. In 1980, there was a positive association between national income and population mean BMI, SBP, and TC. By 2008, the slope of the association between Ln(GDP) and SBP became negative for women and zero for men. TC was associated with national income and Western diet throughout the period. In 1980, BMI rose with per-capita GDP and then flattened at about Int$7000; by 2008, the relationship resembled an inverted-U for women, peaking at middle income levels. BMI had a positive relationship with percent urban population in both 1980 and 2008. FPG had weaker associations with these country macro characteristics, but was positively associated with BMI. Conclusions The changing associations of metabolic risk factors with macroeconomic variables indicate that there will be a global pandemic of hyperglycemia and diabetes, together with high blood pressure in low income countries, unless effective lifestyle, and pharmacological interventions are implemented. PMID:23481623
The Relationship Between Intuitive Eating and Postpartum Weight Loss.
Leahy, Katie; Berlin, Kristoffer S; Banks, Gabrielle G; Bachman, Jessica
2017-08-01
Objective Postpartum weight loss is challenging for new mothers who report limited time and difficulties following traditional weight loss methods. Intuitive eating (IE) is a behavior that includes eating based on physical hunger and fullness and may have a role in encouraging weight loss. The purpose of this study was to examine the relationship between IE and postpartum weight loss. Methods Women 12-18 months postpartum completed a questionnaire regarding weight changes surrounding pregnancy, exercise, breastfeeding and intuitive eating using the Intuitive Eating Scale. Latent growth curve modeling was utilized to determine the relationship between IE, breastfeeding, weight gain during pregnancy, and postpartum weight trajectories. Results Participants (n = 50) were 28.5 ± 4.9 years old, had an average pre-pregnancy BMI of 26.4 ± 6.8 and the majority were married, and non-Hispanic white. The conditional model revealed that more intuitive eating practices predicted greater postpartum BMI decreases (Est. = -0.10, p < .05) when controlling for breastfeeding duration, exercise duration, and initial BMI and pregnancy BMI changes. Greater pregnancy BMI increases were associated with more rapid postpartum BMI decreases (Est. = -0.34, p < .001) while breastfeeding duration, exercise and initial BMI were not related. Conclusions for Practice Postpartum weight retention is a challenge for many women. Following a more intuitive eating approach to food consumption may encourage postpartum weight loss without the required weighing, measuring, recording and assessing dietary intake that is required of traditional weight loss programs. IE could offer an alternative approach that may be less arduous for new mothers.
Early-life bisphenol a exposure and child body mass index: a prospective cohort study.
Braun, Joseph M; Lanphear, Bruce P; Calafat, Antonia M; Deria, Sirad; Khoury, Jane; Howe, Chanelle J; Venners, Scott A
2014-11-01
Early-life exposure to bisphenol A (BPA) may increase childhood obesity risk, but few prospective epidemiological studies have investigated this relationship. We sought to determine whether early-life exposure to BPA was associated with increased body mass index (BMI) at 2-5 years of age in 297 mother-child pairs from Cincinnati, Ohio (HOME Study). Urinary BPA concentrations were measured in samples collected from pregnant women during the second and third trimesters and their children at 1 and 2 years of age. BMI z-scores were calculated from weight/height measures conducted annually from 2 through 5 years of age. We used linear mixed models to estimate BMI differences or trajectories with increasing creatinine-normalized BPA concentrations. After confounder adjustment, each 10-fold increase in prenatal (β = -0.1; 95% CI: -0.5, 0.3) or early-childhood (β = -0.2; 95% CI: -0.6, 0.1) BPA concentrations was associated with a modest and nonsignificant reduction in child BMI. These inverse associations were suggestively stronger in girls than in boys [prenatal effect measure modification (EMM) p-value = 0.30, early-childhood EMM p-value = 0.05], but sex-specific associations were imprecise. Children in the highest early-childhood BPA tercile had lower BMI at 2 years (difference = -0.3; 95% CI: -0.6, 0.0) and larger increases in their BMI slope from 2 through 5 years (BMI increase per year = 0.12; 95% CI: 0.07, 0.18) than children in the lowest tercile (BMI increase per year = 0.07; 95% CI: 0.01, 0.13). All associations were attenuated without creatinine normalization. Prenatal and early-childhood BPA exposures were not associated with increased BMI at 2-5 years of age, but higher early-childhood BPA exposures were associated with accelerated growth during this period.
Mid-upper arm circumference: A surrogate for body mass index in pregnant women.
Fakier, Ahminah; Petro, Gregory; Fawcus, S
2017-06-30
Nutrition in pregnancy has implications for both mother and fetus, hence the importance of an accurate assessment at the booking visit during antenatal care. The body mass index (BMI, kg/m2) is currently the gold standard for measuring body fatness. However, pregnancy-associated weight gain and oedema, as well as late booking in our population setting, cause concern about the reliability of using the BMI to assess body fat or nutritional status in pregnancy. The mid-upper arm circumference (MUAC) has been used for many decades to assess malnutrition in children aged <5 years. Several studies have also shown a strong correlation between MUAC and BMI in both pregnant and non-pregnant adult populations. To assess the correlation between the MUAC and BMI in pregnant women booking for antenatal care in the Metro West area of Cape Town, South Africa. We conducted a cross-sectional study of women booking at four midwife obstetric units. Anthropometric measurements (height, weight and MUAC) were carried out on pregnant women at their first antenatal booking visit. The results showed a strong correlation between MUAC and BMI in pregnant women up to 30 weeks' gestation. The correlation was calculated at 0.92 for the entire group. The MUAC cut-offs for obesity (BMI >30) and malnutrition (BMI <18.5) were calculated as 30.57 cm and 22.8 cm, respectively. MUAC correlates strongly with BMI in pregnancy up to a gestation of 30 weeks in women attending Metro West maternity services. In low-resource settings, the simpler MUAC measurement could reliably be substituted for BMI to assess nutritional status.
Remigio-Baker, Rosemay A.; Anderson, Cheryl A. M.; Adams, Marc A.; Norman, Gregory J.; Kerr, Jacqueline; Criqui, Michael H.; Allison, Matthew
2016-01-01
Objectives To investigate whether walking mediates neighborhood built environment associations with weight status in middle- and older-aged women. Methods Participants (N=5085; mean age=64±7.7; 75.4% White non-Hispanic) were from the Women’s Health Initiative San Diego cohort baseline visits. Body mass index (BMI) and waist circumference were measured objectively. Walking was assessed via survey. The geographic information system (GIS)-based home neighborhood activity supportiveness index included residential density, street connectivity, land use mix, and number of parks. Results BMI was 0.22 units higher and the odds ratio for being obese (vs. normal or overweight) was 8% higher for every standard deviation decrease in neighborhood activity supportiveness. Walking partially mediated these associations (22–23% attenuation). Findings were less robust for waist circumference. Conclusions Findings suggest women who lived in activity-supportive neighborhoods had a lower BMI than their counterparts, in part because they walked more. Improving neighborhood activity supportiveness has population-level implications for improving weight status and health. PMID:26798961
Body mass index and employment status: A new look.
Kinge, Jonas Minet
2016-09-01
Earlier literature has usually modelled the impact of obesity on employment status as a binary choice (employed, yes/no). I provide new evidence on the impact of obesity on employment status by treating the dependent variable as a as a multinomial choice variable. Using data from a representative English survey, with measured height and weight on parents and children, I define employment status as one of four: working; looking for paid work; permanently not working due to disability; and, looking after home or family. I use a multinomial logit model controlling for a set of covariates. I also run instrumental variable models, instrumenting for Body Mass Index (BMI) based on genetic variation in weight. I find that BMI and obesity significantly increase the probability of "not working due to disability". The results for the other employment outcomes are less clear. My findings also indicate that BMI affects employment through its effect on health. Factors other than health may be less important in explaining the impact of BMI/obesity on employment. Copyright © 2016 Elsevier B.V. All rights reserved.
Sensitivity and specificity of criteria for classifying body mass index in adolescents.
Farias Júnior, José Cazuza de; Konrad, Lisandra Maria; Rabacow, Fabiana Maluf; Grup, Susane; Araújo, Valbério Candido
2009-02-01
To estimate the prevalence of overweight among adolescents using different body mass index (BMI) classification criteria, and to determine sensitivity and specificity values for these criteria. Weight, height, and tricipital and subscapular skinfolds in 934 adolescents (462 males and 472 females) aged 14-18 years (mean age 16.2; SD=1.0) of the city of Florianópolis, Southern Brazil, in 2001. Percent fat estimated based on skinfold measurements (> or =25% in males and > or =30% in females) was used as a gold-standard for determining specificity and sensitivity of BMI classification criteria among adolescents. The different cutoff points used for classifying BMI in general resulted in similar prevalence of overweight (p>0.05). Sensitivity of the evaluated criteria was high for males (85.4% to 91.7%) and low for females (33.8 to 52.8%). Specificity of all criteria was high for both sexes (83.6% to 98.8%). Estimates of prevalence of obesity among adolescents using different BMI classification criteria were similar and highly specific for both sexes, but sensitivity for females was low.
Carlson, Jordan A; Remigio-Baker, Rosemay A; Anderson, Cheryl A M; Adams, Marc A; Norman, Gregory J; Kerr, Jacqueline; Criqui, Michael H; Allison, Matthew
2016-03-01
To investigate whether walking mediates neighborhood built environment associations with weight status in middle- and older-aged women. Participants (N=5085; mean age=64 ± 7.7; 75.4% White non-Hispanic) were from the Women's Health Initiative San Diego cohort baseline visits. Body mass index (BMI) and waist circumference were measured objectively. Walking was assessed via survey. The geographic information system (GIS)-based home neighborhood activity supportiveness index included residential density, street connectivity, land use mix, and number of parks. BMI was 0.22 units higher and the odds ratio for being obese (vs. normal or overweight) was 8% higher for every standard deviation decrease in neighborhood activity supportiveness. Walking partially mediated these associations (22-23% attenuation). Findings were less robust for waist circumference. Findings suggest women who lived in activity-supportive neighborhoods had a lower BMI than their counterparts, in part because they walked more. Improving neighborhood activity supportiveness has population-level implications for improving weight status and health. Copyright © 2016 Elsevier Ltd. All rights reserved.
Geliebter, Allan; Atalayer, Deniz; Flancbaum, Louis; Gibson, Charlisa D
2013-03-01
Body adiposity index (BAI), a new surrogate measure of body fat (hip circumference/(height(1.5) - 18)), has been proposed as an alternative to body mass index (BMI). We compared BAI with BMI, and each of them with laboratory measures of body fat-derived from bioimpedance analysis (BIA), air displacement plethysmography (ADP), and dual-energy X-ray absorptiometry (DXA) in clinically severe obese (CSO) participants. Nineteen prebariatric surgery CSO, nondiabetic women were recruited (age = 32.6 ± 7.7 SD; BMI = 46.5 ± 9.0 kg/m(2) ). Anthropometrics and body fat percentage (% fat) were determined from BIA, ADP, and DXA. Scatter plots with lines of equality and Bland-Altman plots were used to compare BAI and BMI with % fat derived from BIA, ADP, and DXA. BAI and BMI correlated highly with each other (r = 0.90, P < 0.001). Both BAI and BMI correlated significantly with % fat from BIA and ADP. BAI, however, did not correlate significantly with % fat from DXA (r = 0.42, P = 0.08) whereas BMI did (r = 0.65, P = 0.003). BMI was also the single best predictor of % fat from both BIA (r(2) = 0.80, P < 0.001) and ADP (r(2) = 0.65, P < 0.001). The regression analysis showed that the standard error of the estimate (SEE), or residual error around the regression lines, was greater for BAI comparisons than for BMI comparisons with BIA, ADP, and DXA. Consistent with this, the Bland and Altman plots indicated wider 95% confidence intervals for BAI difference comparisons than for BMI difference comparisons for their respective means for BIA, ADP, and DXA. Thus, BAI does not appear to be an appropriate proxy for BMI in CSO women. Copyright © 2012 The Obesity Society.
Alkon, Abbey; Harley, Kim G; Neilands, Torsten B; Tambellini, Katelyn; Lustig, Robert H; Boyce, W Thomas; Eskenazi, Brenda
2014-06-01
To understand whether the relationship between young children's autonomic nervous system (ANS) responses predicted their BMI, or vice versa, the association between standardized BMI (zBMI) at 2, 3.5, and 5 years of age and ANS reactivity at 3.5-5 years of age, and whether zBMI predicts later ANS reactivity or whether early ANS reactivity predicts later zBMI, was studied. Low-income, primarily Latino children (n=112) were part of a larger cohort study of mothers recruited during early pregnancy. Study measures included maternal prenatal weight, children's health behaviors (i.e., time watching television, fast food consumption, and time playing outdoors), children's height and weight at 2, 3.5, and 5 years, and children's ANS reactivity at 3.5 and 5 years. ANS measures of sympathetic nervous system (i.e., pre-ejection period) and parasympathetic nervous system (i.e., respiratory sinus arrhythmia) activity were monitored during rest and four challenges. Reactivity was calculated as the difference between mean challenge response and rest. Structural equation models analyzed the relationship between children's zBMI at 2, 3.5, and 5 years and ANS reactivity at 3.5 and 5 years, adjusting for mother's BMI, children's behaviors, and changes in height. There was no association between zBMI and ANS cross-sectionally. Children with high zBMI at 2 or 3.5 years or large zBMI increases from 2 to 3.5 years of age had decreased sympathetic activity at 5 years. Neither sympathetic nor parasympathetic reactivity at 3.5 years predicted later zBMI. Increased zBMI early in childhood may dampen young children's SNS responses later in life.
Adolescence BMI and trends in adulthood mortality: a study of 2.16 million adolescents.
Twig, Gilad; Afek, Arnon; Shamiss, Ari; Derazne, Estela; Landau Rabbi, Moran; Tzur, Dorit; Gordon, Barak; Tirosh, Amir
2014-06-01
The consequence of elevated body mass index (BMI) at adolescence on early adulthood mortality rate and on predicted life expectancy is unclear. The objective of the investigation was to study the relationship between BMI at adolescence and mortality rate as well as the mortality trend over the past 4 decades across the entire BMI range. The study included a nationwide longitudinal cohort. A total of 2 159 327 adolescents (59.1% males) born between 1950 and 1993, who were medically evaluated for compulsory military service in Israel, participated in the study. Height and weight were measured at age 17 years, and BMI was stratified based on the Centers for Disease Control and Prevention-established percentiles for age and sex. Incident cases of all-cause mortality before age 50 years were recorded. Cox-proportional hazard models were used to assess mortality rates and its trend overtime. During 43 126 211 person-years of follow-up, 18 530 deaths were recorded. As compared with rates observed in the 25th to 50th BMI percentiles, all-cause mortality continuously increased across BMI range, reaching rates of 8.90/10(4) and 2.90/10(4) person-years for men and women with BMI greater than the 97th percentile, respectively. A multivariate analysis adjusted for age, socioeconomic status, education, and ethnicity demonstrated a significant increase in mortality at BMI greater than the 50th percentile (BMI > 20.55 kg/m(2)) for men and the 85th percentile or greater in women (BMI > 24.78 kg/m(2)). During the last 4 decades, a significant decrease in mortality rates was documented in normal-weight participants born between 1970 and 1980 vs those born between 1950 and 1960 (3.60/104 vs 4.99/10(4) person-years, P < .001). However, no improvement in the survival rate was observed among overweight and obese adolescents during the same time interval. Significant interaction between BMI and birth year was observed (P = .007). BMI at adolescence, within the normal range, is associated with all-cause mortality in adulthood. Mortality rates among overweight and obese adolescents did not improve in the last 40 years, suggesting that preadulthood obesity may attenuate the progressive increase in life expectancy.
Sánchez-Mendiola, Melchor; Martínez-Franco, Adrián I; Lobato-Valverde, Marlette; Fernández-Saldívar, Fabián; Vives-Varela, Tania; Martínez-González, Adrián
2015-04-01
Biomedical Informatics (BMI) education in medical schools is developing a sound curricular base, but there are few published reports of their educational usefulness. The goal of this paper is to assess knowledge change and satisfaction in medical students after a BMI curriculum. The National Autonomous University of México Faculty of Medicine (UNAM) recently implemented a curricular reform that includes two BMI sequential courses (BMI-1 and BMI-2). The research design was one-group pretest-posttest. An objective test with evidence of validity was used for knowledge measurement. A satisfaction questionnaire was applied at the end of the courses. Two-tailed paired Student's t-tests were applied, comparing knowledge scores in the pre and post-test for each course. The study included student cohorts during two consecutive academic years. The 2013 BMI-1 course (n = 986 students) knowledge pretest score was 43.0 ± 8.6 (mean percent correct ± SD), and the post-test score was 57.7 ± 10.3 (p < 0.001); the 2014 BMI-1 (n = 907) pretest score was 43.7 ± 8.5, and the post-test was 58.1 ± 10.5 (p < 0.001). The 2012 BMI-2 course (n = 683) pretest score was 26.3 ± 7.9, the post-test score was 44.3 ± 13.3 (p < 0.001); the 2013 BMI-2 (n = 926) pretest score was 27.5 ± 7.5, and the post-test was 42.0 ± 11.0 (p < 0.001). The overall opinion of the students regarding the course was from good to excellent, with a response rate higher than 90%. The satisfaction questionnaires had high reliability (Cronbach's alpha of 0.93). The study shows a significant increase in BMI knowledge after an educational intervention in four medical student cohorts, and an overall positive evaluation by the students. Long-term follow-up is needed, as well as controlled studies of BMI educational interventions using performance endpoints.
Psychological effects of dance-based group exergaming in obese adolescents.
Wagener, T L; Fedele, D A; Mignogna, M R; Hester, C N; Gillaspy, S R
2012-10-01
In order to attract obese adolescents who are often reluctant to engage in traditional exercise, new forms of physical activity are needed. The purpose of the study was to investigate the impact of dance-based exergaming on a diverse sample of obese adolescents' perceived competence to exercise, psychological adjustment and body mass index (BMI). A diverse sample of 40 obese adolescents was randomized to either a 10-week group dance-based exergaming programme or a wait-list control condition. Baseline and follow-up measures included adolescent self-reported psychological adjustment and perceived competence to exercise, and maternal report of adolescent psychological adjustment and anthropometric measures. Compared with controls, participants in the dance-based exergaming condition significantly increased in self-reported perceived competence to exercise regularly and reported significant improvement in relations with parents from baseline to end-of-treatment. Maternal report of adolescent externalizing and internalizing symptomatology also decreased from baseline to end-of-treatment. No pre-post differences in BMI were seen within or between conditions. Results support the positive impact of dance-based exergaming on obese adolescents' psychological functioning and perceived competence to continue exercise. © 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of Obesity.
Lubans, David R; Morgan, Philip J; Okely, Anthony D; Dewar, Deborah; Collins, Clare E; Batterham, Marijka; Callister, Robin; Plotnikoff, Ronald C
2012-09-01
OBJECTIVE To evaluate the impact of a 12-month multicomponent school-based obesity prevention program, Nutrition and Enjoyable Activity for Teen Girls among adolescent girls. DESIGN Group randomized controlled trial with 12-month follow-up. SETTING Twelve secondary schools in low-income communities in the Hunter and Central Coast regions of New South Wales, Australia. PARTICIPANTS Three hundred fifty-seven adolescent girls aged 12 to 14 years. INTERVENTION A multicomponent school-based intervention program tailored for adolescent girls. The intervention was based on social cognitive theory and included teacher professional development, enhanced school sport sessions, interactive seminars, nutrition workshops, lunch-time physical activity sessions, handbooks and pedometers for self-monitoring, parent newsletters, and text messaging for social support. MAIN OUTCOME MEASURES Body mass index (BMI, calculated as weight in kilograms divided by height in meters squared), BMI z score, body fat percentage, physical activity, screen time, dietary intake, and self-esteem. RESULTS After 12 months, changes in BMI (adjusted mean difference, -0.19; 95% CI, -0.70 to 0.33), BMI z score (mean, -0.08; 95% CI, -0.20 to 0.04), and body fat percentage (mean, -1.09; 95% CI, -2.88 to 0.70) were in favor of the intervention, but they were not statistically different from those in the control group. Changes in screen time were statistically significant (mean, -30.67 min/d; 95% CI, -62.43 to -1.06), but there were no group by time effects for physical activity, dietary behavior, or self-esteem. CONCLUSIONS A school-based intervention tailored for adolescent girls from schools located in low-income communities did not significantly reduce BMI gain. However, changes in body composition were of a magnitude similar to previous studies and may be associated with clinically important health outcomes. TRIAL REGISTRATION anzctr.org.au Identifier: 12610000330044.
Minghelli, Beatriz; Nunes, Carla; Oliveira, Raul
2013-01-01
Background: The recommended anthropometric methods to assess the weight status include body mass index (BMI), skinfold thickness, and waist circumference. However, these methods have advantages and disadvantages regarding the classification of overweight and obesity in adolescents. Aims: The study was to analyze the correlation between the measurements of BMI, skinfold thickness and waist circumference to assess overweight and obesity in Portuguese adolescents. Materials and Methods: A sample of 966 students of Portugal was used. Of them, 437 (45.2%) were males and 529 (54.8%) were females aged between 10 and 16 years. The evaluations included BMI calculation, skinfold thickness, and waist circumference measurements. Results: This study revealed a high prevalence of overweight and obesity with values ranging from 31.6%, 61.4%, and 41.1% according to the measurement of BMI, skinfold thickness, and waist circumference, respectively. The results found a high level of correlation between BMI and skinfold thickness (P < 0.001, r = 0.712), between BMI and waist circumference (P < 0.001, r = 0.884), and waist circumference and skinfold thickness (P < 0.001, r = 0.701). Conclusions: This study revealed a high prevalence of overweight and obesity in Portuguese adolescents using three different anthropometric methods, where the BMI showed the lowest values of prevalence of overweight and obesity and the skinfold thickness showed the highest values. The three anthropometric methods were highly correlated. PMID:24404544
Connell, Lauren E; Francis, Lori A
2014-08-01
This study sought to determine whether parenting style moderates the effects of delay of gratification on body mass index (BMI) trajectories from ages 4-15 years. Longitudinal data were analyzed for 778 children drawn from the Study of Early Child Care and Youth Development. Parenting style (i.e., authoritative, authoritarian, permissive, and neglectful) was created from measures of mothers' sensitivity and expectations for self-control when children were age 4 years. Self-regulation was also measured at 4 years using a well-known delay of gratification protocol. BMI was calculated from measured height and weight at each time point. Mixed modeling was used to test the interaction of parenting styles and ability to delay gratification on BMI trajectories from 4-15 years. There was a significant interaction effect of parenting and ability to delay on BMI growth from 4-15 years for boys. Boys who had authoritarian mothers and failed to delay gratification had a significantly steeper rate of growth in BMI from childhood through adolescence than children in any other parenting by delay group. Authoritative and permissive parenting styles were protective against more rapid BMI gains for boys who could not delay gratification. Ability to delay gratification was protective against BMI gains for boys who had parents with authoritarian or neglectful parenting styles.
Harris, Kathleen Mullan; Perreira, Krista; Lee, Dohoon
2009-01-01
Objectives With longitudinal data we traced how race, ethnic, and immigrant disparities in body mass index (BMI) change over time as adolescents (ages 11–19) transition to young adulthood (ages 20–28). Design We used growth curve modeling to estimate the pattern of change in BMI from adolescence through the transition to adulthood. Setting All participants in the study were residents of the United States enrolled in high school or junior high school during the 1994–95 school year. Participants We used nationally representative data on 20,000+ adolescents interviewed at Wave I (1994–95) of Add Health, followed in Wave II (1996) and Wave III (2001–02) when the sample was in early adulthood. Main Exposure(s) Exposures of interest include race-ethnicity, immigrant generation, and sex. Main Outcome Measure(s) Our main outcome measure is BMI. Results Findings indicate significant differences in both the level and change in BMI across age by sex, race-ethnicity, and immigrant generation. Females, second and third generation immigrants, and Hispanics and blacks experience more rapidly increasing BMI as adolescents age into young adulthood. Increases in BMI are relatively lower for males, first generation immigrants, and whites and Asians. Conclusions Disparities in BMI and percent overweight and obese widen with age as adolescents leave home and begin independent lives as young adults in their 20s. PMID:19884593
Cahill, Farrell; Ji, Yunqi; Wadden, Danny; Amini, Peyvand; Randell, Edward; Vasdev, Sudesh; Gulliver, Wayne; Sun, Guang
2014-01-01
PYY is an appetite suppressing hormone. Low circulating PYY has been linked to greater BMI. However data is controversial and this association has not been verified in large human populations. The purpose of this study was to investigate if fasting serum total PYY is associated with obesity status and/or adiposity at the population level. A total of 2094 subjects (Male-523, Female-1571) participated in this investigation. Total PYY was measured in fasting serum by enzyme-linked immunosorbent assay. Obesity status (NW-normal-weight, OW-overweight and OB-obese) was determined by the Bray Criteria according to body fat percentage measured by dual-energy x-ray absorptiometry and the WHO criteria according to BMI. One-way ANOVA and multiple regression was used to assess the adiposity-specific association between PYY and the following; weight, BMI, waist-circumference, hip-circumference, waist-hip ratio, percent body fat (%BF), trunk fat (%TF), android fat (%AF) and gynoid fat (%GF). PYY was not significantly different among NW, OW and OB groups defined by neither %BF nor BMI for both men and women. However among women, fasting PYY was positively associated with adiposity measures. Women with the highest (Top 33%) waist-circumference, %BF and %TF had significantly higher PYY (10.5%, 8.3% and 9.2% respectively) than women with the lowest (Bottom 33%). Age, smoking, medication use and menopause were all positively associated with PYY levels in women but not in men. To our knowledge this is the largest population based study, with the most comprehensive analysis and measures of confounding factors, to explore the relationship of circulating PYY with obesity. Contrary to initial findings in the literature we discovered that PYY was positively associated with body fat measures (waist-circumference, %BF and %TF) in women. Although the effect size of the positive association of PYY with obesity in women is small, and potentially negligible, it may in fact represent a protective response against significant weight gain.
Psychosocial stress and 13-year BMI change among blacks: the Pitt County Study.
Fowler-Brown, Angela G; Bennett, Gary G; Goodman, Melody S; Wee, Christina C; Corbie-Smith, Giselle M; James, Sherman A
2009-11-01
Adverse psychosocial exposures may partially drive the high rates of obesity among blacks. The objective of this study was to prospectively examine the relationship between perceived psychosocial stress and percent change in BMI among adult black men and women. We used data from 756 women and 416 men who were participants in the Pitt County Study, a community-based, prospective cohort study of blacks in eastern North Carolina. Participants were aged 25-50 years of age on entry into the study in 1988 and follow-up was obtained in 2001. Using multivariable linear regression, we calculated the adjusted mean percentage change in BMI over the follow-up period for each tertile of baseline measures of the Perceived Stress Scale (low, medium, and high), adjusted for potential confounders. For black women, higher levels of psychosocial stress at baseline predicted higher adjusted percentage increase in BMI over the 13-year follow-up: low stress 12.0% (95% CI 9.6-14.4), medium stress 16.3% (95% CI 13.7-18.9), and high stress 15.5% (95% CI 13.1-17.8). For black men, perceived stress was not associated with percent BMI change. These data suggest that interventions targeting obesity in black women should consider the potential impact of emotional stress on weight change.
Duncan, Michael J; Bryant, Elizabeth; Stodden, David
2017-11-01
This study examined differences in children's body mass index (BMI) and body fatness (BF%) as a function of gender and fundamental movement skill (FMS) proficiency. Following ethics approval and parental consent, 248, 6-11 year-old children (112 boys, 136 girls) underwent assessment of 7 FMS: sprint run, side gallop, hop, kick, catch, throw and vertical jump. FMS tertiles ("high", "medium" or "low" FMS) were created based on the summed components of the FMS. Skinfold measures were used to calculate BF%. Physical activity (PA) was assessed using pedometry and maturation predicted using anthropometry. Data were analysed using a 2 (Gender) × 3 (FMS tertile) ways analysis of covariance (ANCOVA), controlling for age, maturation and PA. Age (P = .001) and maturation (P = .006) were associated with BMI. Girls classified as high FMS proficiency had significantly lower BMI compared to girls with low and medium FMS proficiency. Age (P = .0001) and maturation (P = .007) were associated with BF%. BF% was also higher for girls with low FMS compared to those with medium and high FMS. BF% and BMI were not different across FMS tertile in boys. Such findings suggest focusing on FMS may be especially important for healthy weight, particularly in girls.
Rivera-Gutierrez, Diego; Ferdig, Rick; Li, Jian; Lok, Benjamin
2014-04-01
We have created You, M.D., an interactive museum exhibit in which users learn about topics in public health literacy while interacting with virtual humans. You, M.D. is equipped with a weight sensor, a height sensor and a Microsoft Kinect that gather basic user information. Conceptually, You, M.D. could use this user information to dynamically select the appearance of the virtual humans in the interaction attempting to improve learning outcomes and user perception for each particular user. For this concept to be possible, a better understanding of how different elements of the visual appearance of a virtual human affects user perceptions is required. In this paper, we present the results of an initial user study with a large sample size (n =333) ran using You, M.D. The study measured users reactions based on the users gender and body-mass index (BMI) when facing virtual humans with BMI either concordant or discordant from the users BMI. The results of the study indicate that concordance between the users BMI and the virtual humans BMI affects male and female users differently. The results also show that female users rate virtual humans as more knowledgeable than male users rate the same virtual humans.
Correlation between obesity and fat-infiltrated axillary lymph nodes visualized on mammography.
diFlorio Alexander, Roberta M; Haider, Steffen J; MacKenzie, Todd; Goodrich, Martha E; Weiss, Julie; Onega, Tracy
2018-01-05
Using screening mammography, this study investigated the association between obesity and axillary lymph node (LN) size and morphology. We conducted a retrospective review of 188 females who underwent screening mammography at an academic medical centre. Length and width of the LN and hilum were measured in the largest, mammographically visible axillary node. The hilo-cortical ratio (HCR) was calculated as the hilar width divided by the cortical width. Measurements were performed by a board certified breast radiologist and a resident radiology physician. Inter-rater agreement was assessed with Pearson correlation coefficient. We performed multivariable regression analysis for associations of LN measurements with body mass index (BMI), breast density and age. There was a strong association between BMI and LN dimensions, hilum dimensions and HCR (p < 0.001 for all metrics). There was no significant change in cortex width with increasing BMI (p = 0.15). Increases in LN length and width were found with increasing BMI [0.6 mm increase in length per unit BMI, 95% CI (0.4-0.8), p < 0.001 and0.3 mm increase in width per unit BMI, 95% CI(0.2-0.4), p < 0.001, respectively]. Inter-rater reliability for lymph node and hilum measurements was 0.57-0.72. We found a highly significant association between increasing BMI and axillary LN dimensions independent of age and breast density with strong interobserver agreement. The increase in LN size was driven by expansion of the LN hilum secondary to fat infiltration. Advances in knowledge: This preliminary work determined a relationship between fat infiltrated axillary lymph nodes and obesity.
Sluyter, J D; Hughes, A D; Thom, S A McG; Lowe, A; Camargo, C A; Hametner, B; Wassertheurer, S; Parker, K H; Scragg, R K R
2017-05-01
Little is known about how aortic waveform parameters vary with ethnicity and lifestyle factors. We investigated these issues in a large, population-based sample. We carried out a cross-sectional analysis of 4798 men and women, aged 50-84 years from Auckland, New Zealand. Participants were 3961 European, 321 Pacific, 266 Maori and 250 South Asian people. We assessed modifiable lifestyle factors via questionnaires, and measured body mass index (BMI) and brachial blood pressure (BP). Suprasystolic oscillometry was used to derive aortic pressure, from which several haemodynamic parameters were calculated. Heavy alcohol consumption and BMI were positively related to most waveform parameters. Current smokers had higher levels of aortic augmentation index than non-smokers (difference=3.7%, P<0.0001). Aortic waveform parameters, controlling for demographics, antihypertensives, diabetes and cardiovascular disease (CVD), were higher in non-Europeans than in Europeans. Further adjustment for brachial BP or lifestyle factors (particularly BMI) reduced many differences but several remained. Despite even further adjustment for mean arterial pressure, pulse rate, height and total:high-density lipoprotein cholesterol, compared with Europeans, South Asians had higher levels of all measured aortic waveform parameters (for example, for backward pressure amplitude: β=1.5 mm Hg; P<0.0001), whereas Pacific people had 9% higher log e (excess pressure integral) (P<0.0001). In conclusion, aortic waveform parameters varied with ethnicity in line with the greater prevalence of CVD among non-white populations. Generally, this was true even after accounting for brachial BP, suggesting that waveform parameters may have increased usefulness in capturing ethnic variations in cardiovascular risk. Heavy alcohol consumption, smoking and especially BMI may partially contribute to elevated levels of these parameters.
Sluyter, J D; Hughes, A D; Thom, S A McG; Lowe, A; Camargo Jr, C A; Hametner, B; Wassertheurer, S; Parker, K H; Scragg, R K R
2017-01-01
Little is known about how aortic waveform parameters vary with ethnicity and lifestyle factors. We investigated these issues in a large, population-based sample. We carried out a cross-sectional analysis of 4798 men and women, aged 50–84 years from Auckland, New Zealand. Participants were 3961 European, 321 Pacific, 266 Maori and 250 South Asian people. We assessed modifiable lifestyle factors via questionnaires, and measured body mass index (BMI) and brachial blood pressure (BP). Suprasystolic oscillometry was used to derive aortic pressure, from which several haemodynamic parameters were calculated. Heavy alcohol consumption and BMI were positively related to most waveform parameters. Current smokers had higher levels of aortic augmentation index than non-smokers (difference=3.7%, P<0.0001). Aortic waveform parameters, controlling for demographics, antihypertensives, diabetes and cardiovascular disease (CVD), were higher in non-Europeans than in Europeans. Further adjustment for brachial BP or lifestyle factors (particularly BMI) reduced many differences but several remained. Despite even further adjustment for mean arterial pressure, pulse rate, height and total:high-density lipoprotein cholesterol, compared with Europeans, South Asians had higher levels of all measured aortic waveform parameters (for example, for backward pressure amplitude: β=1.5 mm Hg; P<0.0001), whereas Pacific people had 9% higher loge (excess pressure integral) (P<0.0001). In conclusion, aortic waveform parameters varied with ethnicity in line with the greater prevalence of CVD among non-white populations. Generally, this was true even after accounting for brachial BP, suggesting that waveform parameters may have increased usefulness in capturing ethnic variations in cardiovascular risk. Heavy alcohol consumption, smoking and especially BMI may partially contribute to elevated levels of these parameters. PMID:28004730
Ellaway, Anne; Lamb, Karen E; Ferguson, Neil S; Ogilvie, David
2016-08-09
The aim of this country-wide study was to link individual health and behavioural data with area-level spatial data to examine whether the body mass index (BMI) of adults was associated with access to recreational physical activity (PA) facilities by different modes of transport (bus, car, walking, cycling) and the extent to which any associations were mediated by PA participation. Data on individual objectively-measured BMI, PA (number of days of (a) ≥20 min of moderate-to-vigorous PA, and (b) ≥15 min of sport or exercise, in previous 4 weeks), and socio-demographic characteristics were obtained from a nationally representative sample of 6365 adults. The number of accessible PA facilities per 1,000 individuals in each small area (data zones) was obtained by mapping a representative list of all fixed PA facilities throughout mainland Scotland. A novel transport network was developed for the whole country, and routes on foot, by bike, by car and by bus from the weighted population centroid of each data zone to each facility were calculated. Separate multilevel models were fitted to examine associations between BMI and each of the 24 measures of accessibility of PA facilities and BMI, adjusting for age, gender, longstanding illness, car availability, social class, dietary quality and urban/rural classification. We found associations (p < 0.05) between BMI and 7 of the 24 accessibility measures, with mean BMI decreasing with increasing accessibility of facilities-for example, an estimated decrease of 0.015 BMI units per additional facility within a 20-min walk (p = 0.02). None of these accessibility measures were found to be associated with PA participation. Our national study has shown that some measures of the accessibility of PA facilities by different modes of transport (particularly by walking and cycling) were associated with BMI; but PA participation, as measured here, did not appear to play a part in this relationship. Understanding the multi-factorial environmental influences upon obesity is key to developing effective interventions to reduce it.
Celis-Morales, Carlos; Livingstone, Katherine M; Woolhead, Clara; Forster, Hannah; O'Donovan, Clare B; Macready, Anna L; Fallaize, Rosalind; Marsaux, Cyril F M; Tsirigoti, Lydia; Efstathopoulou, Eirini; Moschonis, George; Navas-Carretero, Santiago; San-Cristobal, Rodrigo; Kolossa, Silvia; Klein, Ulla L; Hallmann, Jacqueline; Godlewska, Magdalena; Surwiłło, Agnieszka; Drevon, Christian A; Bouwman, Jildau; Grimaldi, Keith; Parnell, Laurence D; Manios, Yannis; Traczyk, Iwona; Gibney, Eileen R; Brennan, Lorraine; Walsh, Marianne C; Lovegrove, Julie A; Martinez, J Alfredo; Daniel, Hannelore; Saris, Wim H M; Gibney, Mike; Mathers, John C
2015-09-01
In e-health intervention studies, there are concerns about the reliability of internet-based, self-reported (SR) data and about the potential for identity fraud. This study introduced and tested a novel procedure for assessing the validity of internet-based, SR identity and validated anthropometric and demographic data via measurements performed face-to-face in a validation study (VS). Participants (n = 140) from seven European countries, participating in the Food4Me intervention study which aimed to test the efficacy of personalised nutrition approaches delivered via the internet, were invited to take part in the VS. Participants visited a research centre in each country within 2 weeks of providing SR data via the internet. Participants received detailed instructions on how to perform each measurement. Individual's identity was checked visually and by repeated collection and analysis of buccal cell DNA for 33 genetic variants. Validation of identity using genomic information showed perfect concordance between SR and VS. Similar results were found for demographic data (age and sex verification). We observed strong intra-class correlation coefficients between SR and VS for anthropometric data (height 0.990, weight 0.994 and BMI 0.983). However, internet-based SR weight was under-reported (Δ -0.70 kg [-3.6 to 2.1], p < 0.0001) and, therefore, BMI was lower for SR data (Δ -0.29 kg m(-2) [-1.5 to 1.0], p < 0.0001). BMI classification was correct in 93 % of cases. We demonstrate the utility of genotype information for detection of possible identity fraud in e-health studies and confirm the reliability of internet-based, SR anthropometric and demographic data collected in the Food4Me study. NCT01530139 ( http://clinicaltrials.gov/show/NCT01530139 ).
Anthropometry of elderly residents in the city of São Paulo, Brazil.
Barbosa, Aline R; Souza, José M P; Lebrão, Maria L; Laurenti, Ruy; Marucci, Maria de Fátima N
2005-01-01
The article presents gender and age-specific selected anthropometric data for a representative sample of elderly Brazilians in the city of São Paulo. This was a cross-sectional, population-based household survey. A total of 1,894 older adults (men and women, > 60 years) were examined from January to March 2001. Data were presented as means and percentiles for body mass (BM); height or stature (ST); body mass index (BMI); waist (WC), hip (HC), arm (AC), and calf (CC) circumferences; triceps skinfold thickness (TST); and arm muscle circumference (AMC), and differences were described according to age (all variables) and gender (BMI). Except for HC (men), all anthropometric variables were lower in the oldest than in the youngest individuals (p < 0.01) in both genders. BMI was significantly higher (p < 0.01) in women than men (all age groups). The observations suggest that there is loss of muscle mass and redistribution and reduction of fat mass with age (both genders). The data can be used in clinical practice and epidemiological studies based on interpretation of anthropometric measurements in the elderly in São Paulo.
2011-01-01
Background The majority of studies of the local food environment in relation to obesity risk have been conducted in the US, UK, and Australia. The evidence remains limited to western societies. The aim of this paper is to examine the association of local food environment to body mass index (BMI) in a study of older Japanese individuals. Methods The analysis was based on 12,595 respondents from cross-sectional data of the Aichi Gerontological Evaluation Study (AGES), conducted in 2006 and 2007. Using Geographic Information Systems (GIS), we mapped respondents' access to supermarkets, convenience stores, and fast food outlets, based on a street network (both the distance to the nearest stores and the number of stores within 500 m of the respondents' home). Multiple linear regression and logistic regression analyses were performed to examine the association between food environment and BMI. Results In contrast to previous reports, we found that better access to supermarkets was related to higher BMI. Better access to fast food outlets or convenience stores was also associated with higher BMI, but only among those living alone. The logistic regression analysis, using categorized BMI, showed that the access to supermarkets was only related to being overweight or obese, but not related to being underweight. Conclusions Our findings provide mixed support for the types of food environment measures previously used in western settings. Importantly, our results suggest the need to develop culture-specific approaches to characterizing neighborhood contexts when hypotheses are extrapolated across national borders. PMID:21777439
Childhood intelligence and adult obesity.
Kanazawa, Satoshi
2013-03-01
Recent studies conclude childhood intelligence has no direct effect on adult obesity net of education, but evolutionary psychological theories suggest otherwise. A population (n = 17,419) of British babies has been followed since birth in 1958 in a prospectively longitudinal study. Childhood general intelligence is measured at 7, 11, and 16, and adult BMI and obesity are measured at 51. Childhood general intelligence has a direct effect on adult BMI, obesity, and weight gain, net of education, earnings, mother's BMI, father's BMI, childhood social class, and sex. More intelligent children grow up to eat more healthy foods and exercise more frequently as adults. Childhood intelligence has a direct effect on adult obesity unmediated by education or earnings. General intelligence decreases BMI only in adulthood when individuals have complete control over what they eat. Copyright © 2012 The Obesity Society.
Li, Shu-ya; Jiang, Min; Yao, Tian-yu; Cheng, Yu-xuan; Fan, Ya-jie; Liu, Xu-ying; Zhang, Jin-ling; Liu, Lan; Wang, Zhi-zhong; Ma, Yu-ying; Hu, Xue-qin; Wang, Pan-pan; Yu, Jing-jing; Ma, Rong; Huang, Qi
2016-04-01
To explore the association of insulin resistance and β cell function with lipid metabolism in middle-aged and elderly Hui and Han populations. A total of 1000 subjects age over 40 years were recruited from five urban communities in Yinchuan and Wuzhong cities of Ningxia. The composition ratio between Hui and Han nationality was 1:2. A questionnaire-based survey was performed. Physical examinations were carried out to measure the height, body mass, waistline, and hipline. The levels of triglyceride (TG), total cholesterol (TC), blood uric acid (BUA), fasting blood glucose and insulin were measured. The boby mass index (BMI), waist-hip ratio (WHR), and secretion related index including insulin resistance index (IR), insulin sensitivity index (IAI), and beta cell function index (HBCI) were calculated. The BMI, WHR, IAI, HBCI, and the prevalence rate of diabetes in Hui nationality were significantly higher than those in Han nationality (P<0.01). The levels of BUA, fasting blood glucose, TC, and IR in Han nationality were significantly lower than those in Hui nationality (P<0.01). In Hui populations, TG, BMI, WHR, and BUA were positively correlated with IR (r=0.234, r=0.193, r=0.143, and r=0.129, respectively; P<0.01) and were negatively correlated with IAI (r=-0.234, r=-0.193, r=-0.143, r=-0.129, respectively; P<0.01), whereas TC was negatively correlated with HBCI (r=-0.169, P<0.01). In Han populations, TC, TG, BMI, WHR, and BUA were positively correlated with IR (r=0.140, r=0.257, r=0.288, r=0.163, r=0.104, P<0.01) and negatively correlated with IAI (r=-0.140, r=-0.257, r=-0.288, r=-0.163, and r=-0.104, P<0.01), whereas BMI was negatively correlated with HBCI (r=-0.111, P<0.01). After the influential factors such as gender, nationality, and age were adjusted, the TC, TG, BMI, WHR, BUA levels were positively correlated with IR (r=0.109, r=0.256, r=0.253, r=0.139, and r=0.142, P<0.01) and negatively correlated with IAI (r=-0.109, r=-0.256, r=-0.253, r=-0.139, and r=-0.142, P<0.01). TC and BMI were negatively correlated with HBCI (r=-0.113, r=-0.086, P<0.01). TG and BMI were independently associated with IR and IAI (r=0.218, r=0.182, r=-0.218, r=-0.182), while TC and BMI were independently associated with HBCI (r=-0.113, r=-0.086). The distributions of TC, TG, BMI, WHR, BUA, IR, IAI, and HBCI differ between Han and Hui populations. The development of insulin resistance is closely related with the increased levels of TC, TG, BMI, WHR, and BUA. However, the HBCI increases with the increased level of TC and BMI. TG and BMI may be related with insulin resistance. Also, TC and BMI may affect the secretion function of β cells.
Yamamoto, Nana; Yamamoto, Takumi; Hayashi, Nobuko; Hayashi, Akitatsu; Iida, Takuya; Koshima, Isao
2016-06-01
Volumetry, measurement of extremity volume, is a commonly used method for upper extremity lymphedema (UEL) evaluation. However, comparison between different patients with different physiques is difficult with volumetry, because body-type difference greatly affects arm volume. Seventy arms of 35 participants who had no history of arm edema or breast cancer were evaluated. Arm volume was calculated using a summed truncated cone model, and UEL index was calculated using circumferences and body mass index (BMI). Examinees' BMI was classified into 3 groups, namely, low BMI (BMI, <20 kg/m), middle BMI (BMI, 20-25 kg/m), and high BMI (BMI, >25 kg/m). Arm volume and UEL index were compared with corresponding BMI groups. Mean (SD) arm volume was 1090.9 (205.5) mL, and UEL index 96.9 (5.6). There were significant differences in arm volume between BMI groups [low BMI vs middle BMI vs high BMI, 945.2 (107.4) vs 1045.2 (87.5) vs 1443.1 (244.4) mL, P < 0.001]. There was no significant difference in UEL index between BMI groups [low BMI vs middle BMI vs high BMI, 97.2 (4.2) vs 96.6 (4.6) vs 96.7 (9.9), P > 0.5]. Arm volume significantly increased with increase of BMI, whereas UEL index stayed constant regardless of BMI. Upper extremity lymphedema index would allow better body-type corrected arm volume evaluation compared with arm volumetry.
Gonçalves, Sónia; Silva, Margarida; Gomes, A Rui; Machado, Paulo P P
2012-04-01
(i) To analyze the eating behaviors and body satisfaction of boys and girls and to examine their mothers' perceptions of these two domains; and (ii) to evaluate eating problem predictors using child body mass index (BMI), self-esteem, and body satisfaction as well as maternal BMI, eating problems, and satisfaction with their child's body. The participants included 111 children (54.1% girls aged between 9 and 12 years old) and their mothers. Assessment measures included the Child Eating Attitude Test, the Self-Perception Profile for Children, the Eating Disorders Questionnaire, and the Child Eating Behavior Questionnaire. Child and maternal measures also included BMI and Collins Figure Drawings. (i) No association between child and maternal BMI for either sex was found; (ii) no difference was found between boys and girls with regard to eating behavior; (iii) most children revealed a preference for an ideal body image over their actual body image; (iv) most mothers preferred thinner bodies for their children; (v) greater BMI was related to higher body dissatisfaction; and (vi) child BMI and dissatisfaction with body image predicted eating disturbances in boys, whereas self-esteem, maternal BMI, and eating behavior predicted them in girls. Maternal eating problems and BMI were related to female eating problems only.
Gonçalves, Sónia; Silva, Margarida; Gomes, A. Rui; Machado, Paulo P. P.
2012-01-01
Objective: (i) To analyze the eating behaviors and body satisfaction of boys and girls and to examine their mothers’ perceptions of these two domains; and (ii) to evaluate eating problem predictors using child body mass index (BMI), self-esteem, and body satisfaction as well as maternal BMI, eating problems, and satisfaction with their child’s body. The participants included 111 children (54.1% girls aged between 9 and 12 years old) and their mothers. Assessment measures included the Child Eating Attitude Test, the Self-Perception Profile for Children, the Eating Disorders Questionnaire, and the Child Eating Behavior Questionnaire. Child and maternal measures also included BMI and Collins Figure Drawings. Results: (i) No association between child and maternal BMI for either sex was found; (ii) no difference was found between boys and girls with regard to eating behavior; (iii) most children revealed a preference for an ideal body image over their actual body image; (iv) most mothers preferred thinner bodies for their children; (v) greater BMI was related to higher body dissatisfaction; and (vi) child BMI and dissatisfaction with body image predicted eating disturbances in boys, whereas self-esteem, maternal BMI, and eating behavior predicted them in girls. Discussion: Maternal eating problems and BMI were related to female eating problems only. PMID:22606370
Parent Reactions to a School-Based Body Mass Index Screening Program
ERIC Educational Resources Information Center
Johnson, Suzanne Bennett; Pilkington, Lorri L.; Lamp, Camilla; He, Jianghua; Deeb, Larry C.
2009-01-01
Background: This study assessed parent reactions to school-based body mass index (BMI) screening. Methods: After a K-8 BMI screening program, parents were sent a letter detailing their child's BMI results. Approximately 50 parents were randomly selected for interview from each of 4 child weight-classification groups (overweight, at risk of…
Determining BMI cut points based on excess percent body fat in US children and adolescents
USDA-ARS?s Scientific Manuscript database
Current cut points for overweight were derived statistically from BMI distribution. The study aimed at determining age-, gender-, and ethnic-specific BMI cut points based on excess body fat in US children and adolescents aged 8-17 years, who participated in the National Health and Nutrition Examinat...
Body mass index and the rheumatoid arthritis swollen joint count: an observational study
Caplan, Liron; Davis, Lisa A.; Bright, Christina M.; Kerr, Gail S.; Lazaro, Deana M.; Khan, Nasim A.; Richards, J. Steuart; Johnson, Dannette S.; Cannon, Grant W.; Reimold, Andreas M.; Mikuls, Ted R.
2012-01-01
Objective Obesity is a prevalent condition and a serious health concern. The relationship between obesity and RA disease activity and severity has not been adequately examined, and there are concerns that periarticular adipose tissue may reduce the utility of the joint examination. Methods We used a cross-sectional study to compare the performance of swollen joint count (SJC) in subjects with rheumatoid arthritis (RA) across body mass index (BMI) strata. Specifically, regression techniques tested for associations of SJC and seven RA disease activity/severity measures (including high sensitivity c-reactive protein, radiographic changes, and multi-dimensional health assessment questionnaire scores) within BMI quartiles. We also evaluated the association of BMI with radiographic evidence of RA in multivariate analyses and the association of BMI with SJC. Clinical and laboratory data from 980 Veterans Affairs Rheumatoid Arthritis (VARA) registry participants were analyzed using linear and logistic regression. Results Associations were evident between SJC and six of the seven examined RA disease activity/severity measures. SJC predicts RA disease activity/severity at least as well in more obese subjects as in subjects with lower BMIs, and there was a trend towards better performance in higher BMI individuals. Subjects with higher BMIs were marginally less likely to be characterized by radiographic changes (O.R. 0.98, p=0.051). We found no association between BMI and SJC. Conclusions BMI does not obscure the relationship of SJC and objective disease activity measures. There is a borderline association of higher BMI and likelihood of radiographic changes characteristic of RA after controlling for clinical characteristics. PMID:22623288
Flegal, Katherine M; Shepherd, John A; Looker, Anne C; Graubard, Barry I; Borrud, Lori G; Ogden, Cynthia L; Harris, Tamara B; Everhart, James E; Schenker, Nathaniel
2009-02-01
Body mass index (BMI), waist circumference (WC), and the waist-stature ratio (WSR) are considered to be possible proxies for adiposity. The objective was to investigate the relations between BMI, WC, WSR, and percentage body fat (measured by dual-energy X-ray absorptiometry) in adults in a large nationally representative US population sample from the National Health and Nutrition Examination Survey (NHANES). BMI, WC, and WSR were compared with percentage body fat in a sample of 12,901 adults. WC, WSR, and BMI were significantly more correlated with each other than with percentage body fat (P < 0.0001 for all sex-age groups). Percentage body fat tended to be significantly more correlated with WC than with BMI in men but significantly more correlated with BMI than with WC in women (P < 0.0001 except in the oldest age group). WSR tended to be slightly more correlated with percentage body fat than was WC. Percentile values of BMI, WC, and WSR are shown that correspond to percentiles of percentage body fat increments of 5 percentage points. More than 90% of the sample could be categorized to within one category of percentage body fat by each measure. BMI, WC, and WSR perform similarly as indicators of body fatness and are more closely related to each other than with percentage body fat. These variables may be an inaccurate measure of percentage body fat for an individual, but they correspond fairly well overall with percentage body fat within sex-age groups and distinguish categories of percentage body fat.
Crespo, Noe C.; Elder, John P.; Ayala, Guadalupe X.; Campbell, Nadia R.; Arredondo, Elva M.; Slymen, Donald J.; Baquero, Barbara; Sallis, James F.; McKenzie, Thomas L.
2014-01-01
Background Community-based behavioral interventions are needed to reduce the burden of childhood obesity. Purpose This study evaluated the impact of a multi-level promotora-based (Community Health Advisor) intervention to promote healthy eating and physical activity (PA) and prevent excess weight gain among Latino children. Methods Thirteen elementary schools were randomized to one of four intervention conditions: individual and family level (Fam-only), school and community level (Comm-only), combined Fam+Comm intervention, or a measurement-only condition. Participants were 808 Latino parents and their children enrolled in kindergarten through 2nd grade. Measures included parent and child BMI and a self-administered parent survey that assessed several parent and child behaviors. Results There were no intervention effects on children's BMI z-score. The Fam-only and Fam+Comm interventions changed several obesity-related child behaviors and these were mediated by changes in parenting variables. Discussion A promotora-based behavioral intervention was efficacious at changing parental factors and child obesity-related health behaviors. PMID:22215470
Robinson, Thomas N.; Matheson, Donna M.; Kraemer, Helena C.; Wilson, Darrell M.; Obarzanek, Eva; Thompson, Nikko S.; Alhassan, Sofiya; Spencer, Tirzah R.; Haydel, K. Farish; Fujimoto, Michelle; Varady, Ann; Killen, Joel D.
2013-01-01
Objective To test a 2-year community- and family-based obesity prevention intervention for low-income African-American girls. Design Randomized controlled trial with follow-up measures scheduled at 6, 12, 18 and 24 months. Setting Low-income areas of Oakland, CA. Participants 261 8–10 year old African-American girls and their parents/caregivers. Interventions Families were randomized to two-year, culturally-tailored interventions: (1) after school Hip-Hop, African and Step dance classes and a home/family-based intervention to reduce screen media use or (2) information-based health education. Main Outcome Measure Body mass index (BMI) change. Results Changes in BMI did not differ between groups (adjusted mean difference [95% confidence interval] = 0.04 [−.18, .27] kg/m2 per year). Among secondary outcomes, fasting total cholesterol (−3.49 [−5.28, −1.70] mg/dL per year), LDL-cholesterol (−3.02 [−4.74, −1.31] mg/dL per year), incidence of hyperinsulinemia (Relative Risk 0.35 [0.13, 0.93]), and depressive symptoms (−0.21 [−0.42, −0.001] per year) fell more among girls in the dance and screen time reduction intervention. In exploratory moderator analysis, the dance and screen time reduction intervention slowed BMI gain more than health education among girls who watched more television at baseline (P=.02) and/or those whose parents/guardians were unmarried (P<.01). Conclusions A culturally-tailored after-school dance and screen time reduction intervention for low-income, preadolescent African-American girls did not significantly reduce BMI gain compared to health education, but produced potentially clinically important reductions in lipids, hyperinsulinemia, and depressive symptoms. There was also evidence for greater effectiveness in high-risk subgroups of girls. PMID:21041592
Dahlström, Örjan; Backe, Stefan; Ekberg, Joakim; Janson, Staffan; Timpka, Toomas
2012-01-01
Background Football (soccer) is endorsed as a health-promoting physical activity worldwide. When football programs are introduced as part of general health promotion programs, equal access and limitation of pre-participation disparities with regard to injury risk are important. The aim of this study was to explore if disparity with regard to parents’ educational level, player body mass index (BMI), and self-reported health are determinants of football injury in community-based football programs, separately or in interaction with age or gender. Methodology/Principal Findings Four community football clubs with 1230 youth players agreed to participate in the cross-sectional study during the 2006 season. The study constructs (parents’ educational level, player BMI, and self-reported health) were operationalized into questionnaire items. The 1-year prevalence of football injury was defined as the primary outcome measure. Data were collected via a postal survey and analyzed using a series of hierarchical statistical computations investigating associations with the primary outcome measure and interactions between the study variables. The survey was returned by 827 (67.2%) youth players. The 1-year injury prevalence increased with age. For youths with parents with higher formal education, boys reported more injuries and girls reported fewer injuries than expected; for youths with lower educated parents there was a tendency towards the opposite pattern. Youths reporting injuries had higher standardized BMI compared with youths not reporting injuries. Children not reporting full health were slightly overrepresented among those reporting injuries and underrepresented for those reporting no injury. Conclusion Pre-participation disparities in terms of parents’ educational level, through interaction with gender, BMI, and self-reported general health are associated with increased injury risk in community-based youth football. When introduced as a general health promotion, football associations should adjust community-based youth programs to accommodate children and adolescents with increased pre-participation injury risk. PMID:22928035
Dahlström, Örjan; Backe, Stefan; Ekberg, Joakim; Janson, Staffan; Timpka, Toomas
2012-01-01
Football (soccer) is endorsed as a health-promoting physical activity worldwide. When football programs are introduced as part of general health promotion programs, equal access and limitation of pre-participation disparities with regard to injury risk are important. The aim of this study was to explore if disparity with regard to parents' educational level, player body mass index (BMI), and self-reported health are determinants of football injury in community-based football programs, separately or in interaction with age or gender. Four community football clubs with 1230 youth players agreed to participate in the cross-sectional study during the 2006 season. The study constructs (parents' educational level, player BMI, and self-reported health) were operationalized into questionnaire items. The 1-year prevalence of football injury was defined as the primary outcome measure. Data were collected via a postal survey and analyzed using a series of hierarchical statistical computations investigating associations with the primary outcome measure and interactions between the study variables. The survey was returned by 827 (67.2%) youth players. The 1-year injury prevalence increased with age. For youths with parents with higher formal education, boys reported more injuries and girls reported fewer injuries than expected; for youths with lower educated parents there was a tendency towards the opposite pattern. Youths reporting injuries had higher standardized BMI compared with youths not reporting injuries. Children not reporting full health were slightly overrepresented among those reporting injuries and underrepresented for those reporting no injury. Pre-participation disparities in terms of parents' educational level, through interaction with gender, BMI, and self-reported general health are associated with increased injury risk in community-based youth football. When introduced as a general health promotion, football associations should adjust community-based youth programs to accommodate children and adolescents with increased pre-participation injury risk.
Al-Rubean, Khalid; Youssef, Amira M; AlFarsi, Yousuf; Al-Sharqawi, Ahmad H; Bawazeer, Nahla; AlOtaibi, Mohammad T; AlRumaih, Fahd Issa; Zaidi, Muhammad Shoaib
2017-01-01
The prevalence of metabolic syndrome varies widely by ethnicity and by the criteria used in its definition. To identify the optimal cutoff values for waist circumference (WC), waist-to-hip ratio (WHR) and body mass index (BMI) for identifying metabolic syndrome among the Saudi population. Nationwide household cross-sectional population-based survey. Thirteen health sectors in Saudi Arabia. We used data for subjects in the Saudi Abnormal Glucose Metabolism and Diabetes Impact Study (SAUDI-DM), which was conducted from 2007 to 2009. Using International Diabetes Federation (IDF) criteria, metabolic syndrome and its different components were assessed using anthropometric measurements, blood pressure, fasting plasma glucose, triglycerides and HDL cholesterol. Receiver operating characteristic (ROC) curves were generated to assess sensitivity and specificity for different cutoff values of WC, WHR, and BMI. The Youden index was used to calculate the optimal cutoff value for each anthropometric measurement. Optimal cutoff value for WC, WHR, and BMI for identifying the risk of metabolic syndrome. The prevalence of two or more risk factors for metabolic syndrome was observed in 43.42% of the total cohort of 12126 study participants >=18 years of age. The presence of two or more risk factors were significantly higher among men (46.81%) than women (40.53%) (P < .001). The optimal cutoff values for WC, WHR, and BMI were 92 cm, 0.89, and 25 kg/m2 for men and 87 cm, 0.81 and 28 kg/m2 for women for identifying the risk of metabolic syndrome. The prevalence of elevated triglycerides, blood pressure, and fasting plasma glucose significantly increased with age for both genders. The proposed WC cutoff values were better than WHR and BMI in predicting metabolic syndrome and could be used for screening people at high risk for metabolic syndrome in the Saudi population. No direct measure of body fatness and fat distribution, cross-sectional design.
Tvaryanas, Col Anthony P; Greenwell, Brandon; Vicen, Gloria J; Maupin, Genny M
2018-03-26
Air Force Medical Service health promotions staff have identified a set of evidenced-based interventions targeting tobacco use, sleep habits, obesity/healthy weight, and physical activity that could be integrated, packaged, and deployed as a Commander's Wellness Program. The premise of the program is that improvements in the aforementioned aspects of the health of unit members will directly benefit commanders in terms of members' fitness assessment scores and the duration of periods of limited duty. The purpose of this study is to validate the Commander's Wellness Program assumption that body mass index (BMI), physical activity habits, tobacco use, sleep, and nutritional habits are associated with physical fitness assessment scores, fitness assessment exemptions, and aggregate days of limited duty in the population of active duty U.S. Air Force personnel. This study used a cross-sectional analysis of active duty U.S. Air Force personnel with an Air Force Web-based Health Assessment and fitness assessment data during fiscal year 2013. Predictor variables included age, BMI, gender, physical activity level (moderate physical activity, vigorous activity, and muscle activity), tobacco use, sleep, and dietary habits (consumption of a variety of foods, daily servings of fruits and vegetables, consumption of high-fiber foods, and consumption of high-fat foods). Nonparametric methods were used for the exploratory analysis and parametric methods were used for model building and statistical inference. The study population comprised 221,239 participants. Increasing BMI and tobacco use were negatively associated with the outcome of composite fitness score. Increasing BMI and tobacco use and decreasing sleep were associated with an increased likelihood for the outcome of fitness assessment exemption status. Increasing BMI and tobacco use and decreasing composite fitness score and sleep were associated with an increased likelihood for the outcome of limited duty status, whereas increasing BMI and decreasing sleep were associated with the outcome of increased aggregate days of limited duty. The observed associations were in the expected direction and the effect sizes were modest. Physical activity habits and nutritional habits were not observed to be associated with any of the outcome measures. The Commander's Wellness Program should be scoped to those interventions targeting BMI, composite fitness score, sleep, and tobacco use. Although neither self-reported physical activity nor nutritional habits were associated with the outcomes, it is still worthwhile to include related interventions in the Commander's Wellness Program because of the finding in other studies of a consistent association between the overall number of health risks and productivity outcomes.
Edalat, A; Abbaszadeh, M; Eesvandi, M; Heidari, A
2014-06-01
Early childhood caries can cause pain, discomfort and also inability to have a healthy nutrition .Malnutrition can be characterized when there is a weight, height, and body mass index (BMI) deficiency. The aim of this study was to evaluate the relationship between the severe early childhood caries (based on the dmft index) and BMI in pre-school children in Shiraz. A descriptive analytical cross-sectional study was enrolled on 202 healthy preschool children with the age range of 3-6 years recruited from the kindergartens of different socio- economical parts of Shiraz, Iran. The Anthropometric measurements, weight and height were evaluated. The Z-scores were calculated employing WHO Anthro software (www.who.int/childgrowth/software/en/ index.html) to elucidate the subject's status on the age- and sex-specific growth chart. Every Child who has received two Z-scores under the normal value (< -2) was considered as abnormal. The relationship between dmft index and BMI was then investigated. The mean of dmft was 4.13. From children with severe early childhood caries, 12.5%were under weight, 5% had height deficiency and 19.5% had BMI deficiency, however, there was no significant relationship between increasing dmft and the height, weight and BMI deficiency. There was not a linear correlation between severe early childhood caries and BMI, height, and weight deficiency. An incidence of 55% was yielded for severe early childhood caries which was an additional finding of this study.
Adiposity rebound and the development of metabolic syndrome.
Koyama, Satomi; Ichikawa, Go; Kojima, Megumi; Shimura, Naoto; Sairenchi, Toshimi; Arisaka, Osamu
2014-01-01
The age of adiposity rebound (AR) is defined as the time at which BMI starts to rise after infancy and is thought to be a marker of later obesity. To determine whether this age is related to future occurrence of metabolic syndrome, we investigated the relationship of the timing of AR with metabolic consequences at 12 years of age. A total of 271 children (147 boys and 124 girls) born in 1995 and 1996 were enrolled in the study. Serial measurements of BMI were conducted at the ages of 4 and 8 months and 1, 1.5, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12 years, based on which age of AR was calculated. Plasma lipids and blood pressure were measured at 12 years of age. An earlier AR (<4 years of age) was associated with a higher BMI (≥ 20) and a lipoprotein phenotype representative of insulin resistance. This phenotype consists of elevated triglycerides, apolipoprotein B, and atherogenic index and decreased high-density lipoprotein cholesterol in boys and elevated apolipoprotein B in girls at 12 years of age. The earlier AR was also related to elevated blood pressure in boys. This longitudinal population-based study indicates that children who exhibit AR at a younger age are predisposed to future development of metabolic syndrome. Therefore, monitoring of AR may be an effective method for the early identification of children at risk for metabolic syndrome.
Ultrasonic measurement of facial tissue depth in a Northern Chinese Han population.
Jia, Linpei; Qi, Baiyu; Yang, Jingyan; Zhang, Weiguang; Lu, Yingqiang; Zhang, Hong-Liang
2016-02-01
In forensic anthropology, facial soft tissue depth measurement is crucial for craniofacial reconstruction technology, which is based on the morphological features of human faces to rebuild appearances of decedents, helps forensic scientists to identify the nameless bone. We measured the facial tissue depth of 135 young subjects from northern China whereby revealing the relationship among tissue depth, sex and BMI as well as providing data for craniofacial reconstruction in forensic science. All the volunteers are healthy medical students including 64 males and 71 females. Ultrasound was used to measure 19 points across the face evenly distributed in 6 regions including the eye, nose, mouth, cheek, jaw and chin. Our results indicate that tissue thickness at 11 points of females and 11 points of males are related to BMI. A majority of points are thicker in females than those of males. Further comparisons with data of American and European population show an apparent diversity in both genders. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Lee, Jae Yeun; Kim, Tae-Woo; Kim, Hyun Tae; Lee, Mi Yeon; Min, Hye Won; Won, Yu Sam; Kwon, Hyun Seok; Park, Ki Ho; Kim, Joon Mo
2017-01-01
To evaluate the relationships between open-angle glaucoma (OAG) and various anthropometric measurements. Korea National Health and Nutrition Examination Survey (KNHANES), a population-based cross-sectional study using a complex, stratified, multistage, probability-cluster survey. A total of 5,255 participants including 247 glaucoma patients, aged ≥ 19 years were included from the KNHANES V database. Glaucoma diagnosis was based on International Society of Geographical and Epidemiological Ophthalmology criteria. Various anthropometric data regarding obesity were analyzed including body mass index (BMI), total body fat mass, total body muscle mass (lean body mass, non-bone lean body mass, and appendicular skeletal muscle (ASM) mass), and waist circumference (WC). The differences in OAG prevalence with respect to anthropometric parameter quartiles were examined. In males, the multivariate general linear model adjusted for age, alcohol, smoking, exercise, systemic hypertension, diabetes, and intraocular pressure (IOP) showed the quartiles for the anthropometric parameters BMI, fat mass/weight ratio and fat mass/muscle mass ratio were negatively associated with OAG. However, muscle mass parameter/BMI ratio was significantly positively associated with OAG (P for trend<0.05). In females, height and fat mass/BMI showed a significant relationship with the risk of OAG. (P value<0.05). In the present study, high fat mass was associated with low OAG risk. Body composition seemed to affect the prevalence of OAG, but further evaluation is needed.
Kim, Yong-Hee; Thakor, Nitish V; Schieber, Marc H; Kim, Hyoung-Nam
2015-05-01
Future generations of brain-machine interface (BMI) will require more dexterous motion control such as hand and finger movements. Since a population of neurons in the primary motor cortex (M1) area is correlated with finger movements, neural activities recorded in M1 area are used to reconstruct an intended finger movement. In a BMI system, decoding discrete finger movements from a large number of input neurons does not guarantee a higher decoding accuracy in spite of the increase in computational burden. Hence, we hypothesize that selecting neurons important for coding dexterous flexion/extension of finger movements would improve the BMI performance. In this paper, two metrics are presented to quantitatively measure the importance of each neuron based on Bayes risk minimization and deflection coefficient maximization in a statistical decision problem. Since motor cortical neurons are active with movements of several different fingers, the proposed method is more suitable for a discrete decoding of flexion-extension finger movements than the previous methods for decoding reaching movements. In particular, the proposed metrics yielded high decoding accuracies across all subjects and also in the case of including six combined two-finger movements. While our data acquisition and analysis was done off-line and post processing, our results point to the significance of highly coding neurons in improving BMI performance.
Kim, Yong-Hee; Thakor, Nitish V.; Schieber, Marc H.; Kim, Hyoung-Nam
2015-01-01
Future generations of brain-machine interface (BMI) will require more dexterous motion control such as hand and finger movements. Since a population of neurons in the primary motor cortex (M1) area is correlated with finger movements, neural activities recorded in M1 area are used to reconstruct an intended finger movement. In a BMI system, decoding discrete finger movements from a large number of input neurons does not guarantee a higher decoding accuracy in spite of the increase in computational burden. Hence, we hypothesize that selecting neurons important for coding dexterous flexion/extension of finger movements would improve the BMI performance. In this paper, two metrics are presented to quantitatively measure the importance of each neuron based on Bayes risk minimization and deflection coefficient maximization in a statistical decision problem. Since motor cortical neurons are active with movements of several different fingers, the proposed method is more suitable for a discrete decoding of flexion-extension finger movements than the previous methods for decoding reaching movements. In particular, the proposed metrics yielded high decoding accuracies across all subjects and also in the case of including six combined two-finger movements. While our data acquisition and analysis was done off-line and post processing, our results point to the significance of highly coding neurons in improving BMI performance. PMID:25347884
Campbell, Rachel; Tasevska, Natasha; Jackson, Kim G.; Sagi-Kiss, Virag; di Paolo, Nick; Mindell, Jennifer S.; Lister, Susan J.; Khaw, Kay-Tee
2017-01-01
Obesity is an important modifiable risk factor for chronic diseases. While there is increasing focus on the role of dietary sugars, there remains a paucity of data establishing the association between sugar intake and obesity in the general public. The objective of this study was to investigate associations of estimated sugar intake with odds for obesity in a representative sample of English adults. We used data from 434 participants of the 2005 Health Survey of England. Biomarkers for total sugar intake were measured in 24 h urine samples and used to estimate intake. Linear and logistic regression analyses were used to investigate associations between biomarker-based estimated intake and measures of obesity (body mass intake (BMI), waist circumference and waist-to-hip ratio) and obesity risk, respectively. Estimated sugar intake was significantly associated with BMI, waist circumference and waist-to-hip ratio; these associations remained significant after adjustment for estimated protein intake as a marker of non-sugar energy intake. Estimated sugar intake was also associated with increased odds for obesity based on BMI (OR 1.02; 95%CI 1.00–1.04 per 10g), waist-circumference (1.03; 1.01–1.05) and waist-to-hip ratio (1.04; 1.02–1.06); all OR estimates remained significant after adjusting for estimated protein intake. Our results strongly support positive associations between total sugar intake, measures of obesity and likelihood of being obese. It is the first time that such an association has been shown in a nationally-representative sample of the general population using a validated biomarker. This biomarker could be used to monitor the efficacy of public health interventions to reduce sugar intake. PMID:28723954
Campbell, Rachel; Tasevska, Natasha; Jackson, Kim G; Sagi-Kiss, Virag; di Paolo, Nick; Mindell, Jennifer S; Lister, Susan J; Khaw, Kay-Tee; Kuhnle, Gunter G C
2017-01-01
Obesity is an important modifiable risk factor for chronic diseases. While there is increasing focus on the role of dietary sugars, there remains a paucity of data establishing the association between sugar intake and obesity in the general public. The objective of this study was to investigate associations of estimated sugar intake with odds for obesity in a representative sample of English adults. We used data from 434 participants of the 2005 Health Survey of England. Biomarkers for total sugar intake were measured in 24 h urine samples and used to estimate intake. Linear and logistic regression analyses were used to investigate associations between biomarker-based estimated intake and measures of obesity (body mass intake (BMI), waist circumference and waist-to-hip ratio) and obesity risk, respectively. Estimated sugar intake was significantly associated with BMI, waist circumference and waist-to-hip ratio; these associations remained significant after adjustment for estimated protein intake as a marker of non-sugar energy intake. Estimated sugar intake was also associated with increased odds for obesity based on BMI (OR 1.02; 95%CI 1.00-1.04 per 10g), waist-circumference (1.03; 1.01-1.05) and waist-to-hip ratio (1.04; 1.02-1.06); all OR estimates remained significant after adjusting for estimated protein intake. Our results strongly support positive associations between total sugar intake, measures of obesity and likelihood of being obese. It is the first time that such an association has been shown in a nationally-representative sample of the general population using a validated biomarker. This biomarker could be used to monitor the efficacy of public health interventions to reduce sugar intake.
Measuring Adiposity in Patients: The Utility of Body Mass Index (BMI), Percent Body Fat, and Leptin
2012-01-01
Background Obesity is a serious disease that is associated with an increased risk of diabetes, hypertension, heart disease, stroke, and cancer, among other diseases. The United States Centers for Disease Control and Prevention (CDC) estimates a 20% obesity rate in the 50 states, with 12 states having rates of over 30%. Currently, the body mass index (BMI) is most commonly used to determine adiposity. However, BMI presents as an inaccurate obesity classification method that underestimates the epidemic and contributes to failed treatment. In this study, we examine the effectiveness of precise biomarkers and duel-energy x-ray absorptiometry (DXA) to help diagnose and treat obesity. Methodology/Principal Findings A cross-sectional study of adults with BMI, DXA, fasting leptin and insulin results were measured from 1998–2009. Of the participants, 63% were females, 37% were males, 75% white, with a mean age = 51.4 (SD = 14.2). Mean BMI was 27.3 (SD = 5.9) and mean percent body fat was 31.3% (SD = 9.3). BMI characterized 26% of the subjects as obese, while DXA indicated that 64% of them were obese. 39% of the subjects were classified as non-obese by BMI, but were found to be obese by DXA. BMI misclassified 25% men and 48% women. Meanwhile, a strong relationship was demonstrated between increased leptin and increased body fat. Conclusions/Significance Our results demonstrate the prevalence of false-negative BMIs, increased misclassifications in women of advancing age, and the reliability of gender-specific revised BMI cutoffs. BMI underestimates obesity prevalence, especially in women with high leptin levels (>30 ng/mL). Clinicians can use leptin-revised levels to enhance the accuracy of BMI estimates of percentage body fat when DXA is unavailable. PMID:22485140
Adrenal androgen excess and body mass index in polycystic ovary syndrome.
Moran, Carlos; Arriaga, Monica; Arechavaleta-Velasco, Fabian; Moran, Segundo
2015-01-07
Context: Adrenal hyperandrogenism affects around 25% of polycystic ovary syndrome (PCOS) patients but its relation to obesity is not totally understood. Objective: To assess dehydroepiandrosterone (DHEA) and dehydroepiandrosterone sulfate (DHEAS) levels in relation to body mass index (BMI) in PCOS. Design: Prospective observational study. Setting: Institutional practice at an Obstetrics/Gynecology hospital. Patients or Other Participants: This study included 136 PCOS patients, 20-35 years old, and 42 matched-age control women. The participants were classified with the BMI cutoff value of 27 kg/m 2 as follows: 1) high-BMI PCOS patients; 2) low-BMI PCOS patients; 3) high-BMI control women; and 4) low-BMI control women. The data were reanalyzed with the BMI cutoff value of 30 kg/m 2 to corroborate the findings in obese and non-obese patients. Intervention(s): Blood samples were taken. Main Outcome Measure(s): LH, FSH, insulin, T, androstenedione (A 4 ), DHEA, DHEAS, and glucose levels were determined. Homeostatic model assessment was calculated. Pelvic and abdominal ultrasound for ovarian morphology and adipose tissue, respectively, were performed. Results: Obese PCOS patients presented significantly more insulin resistance than non-obese PCOS patients. The LH levels and LH/FSH ratio were significantly higher in low-BMI than in high-BMI PCOS patients. The A 4 and DHEAS levels were significantly higher in non-obese than in obese PCOS patients. A significant correlation between LH and A 4 in non-obese PCOS patients was observed. The frequency of hyperandrogenism by increased A 4 , and DHEA along with DHEAS was significantly higher in low-BMI PCOS patients compared to high-BMI PCOS patients. Some findings observed with the BMI cutoff value of 27 kg/m 2 changed with the cutoff value of 30 kg/m 2 . Conclusions: Low BMI more than high BMI is associated with increased LH, high A 4 , DHEA and DHEAS levels in PCOS patients. The BMI cutoff value of 27 kg/m 2 classified better than 30 kg/m 2 for hormonal and metabolic characteristics.
McDade, Thomas W; Borja, Judith B; Largado, Fe; Adair, Linda S; Kuzawa, Christopher W
2016-02-01
Rates of overweight and obesity are on the rise globally, and excess adipose tissue may contribute to elevations in inflammation during pregnancy, leading to pregnancy complications and adverse birth outcomes. The purpose of this study was to evaluate adiposity and inflammation in young women as predictors of inflammation in the third trimester of pregnancy in a community-based sample of healthy women. Female participants (24-30 y) in a prospective observational cohort study (Cebu Longitudinal Health and Nutrition Survey) were contacted between 2009 and 2014 to identify new pregnancies. A total of 309 women provided data from 409 pregnancies. An in-home interview was scheduled for the third trimester to collect pregnancy information, anthropometric measurements, and a blood sample. Circulating C-reactive protein (CRP) was measured with a high-sensitivity immunoassay. Data collected from assessments in 2005 and 2009 were used to assess body mass index (BMI) and CRP in young adulthood, before pregnancy. Robust regression models were implemented to evaluate BMI and CRP in young adulthood as predictors of pregnancy CRP. Pre-pregnancy BMI was a stronger predictor of third-trimester circulating CRP than BMI in the third trimester. No association was found between pregnancy weight gain and CRP. Pre-pregnancy CRP was a significant predictor of CRP in pregnancy, independent of BMI. Levels of overweight/obesity and inflammation in young adulthood, before pregnancy, are important predictors of inflammation in the third trimester of pregnancy. These results may have implications for addressing the growing concern about the contribution of obesity to adverse birth outcomes, and they suggest that factors that influence the regulation of inflammation, before pregnancy and independent of adiposity, may be important in shaping the inflammatory response to pregnancy. © 2016 American Society for Nutrition.
Assel, Melissa J.; Gerdtsson, Axel; Thorek, Daniel L.J.; Carlsson, Sigrid V.; Malm, Johan; Scardino, Peter T.; Vickers, Andrew; Lilja, Hans; Ulmert, David
2018-01-01
Objectives To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. Results After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013) and 1.14 (95% CI 1.02, 1.26; p = 0.016) times greater, respectively. AUCs did not meaningfully increase with the addition of weight or BMI to prediction models including PSA. Materials and Methods In 1974 to 1986, 22,444 Swedish men aged 44 to 50 enrolled in Malmö Preventive Project, Sweden, and provided blood samples and anthropometric data. Rates of PSA screening in the cohort were very low. Documentation of PCa diagnosis and disease-specific death up to 2014 was retrieved through national registries. Among men with anthropometric measurements available at baseline, a total of 1692 men diagnosed with PCa were matched to 4190 controls, and 464 men who died of disease were matched to 1390 controls. Multivariable conditional logistic regression was used to determine whether diagnosis or death from PCa were associated with weight and body mass index (BMI) at adulthood after adjusting for PSA. Conclusions Men with higher BMI and weight at early middle age have an increased risk of PCa diagnosis and death after adjusting for PSA. However, in a multi-variable numerical statistical model, BMI and weight do not importantly improve the predictive accuracy of PSA. Risk-stratification of screening should be based on PSA without reference to anthropometrics. PMID:29464033
Xiao, J; Purcell, S A; Prado, C M; Gonzalez, M C
2017-10-06
Low fat-free mass (FFM) or high fat mass (FM) are abnormal body composition phenotypes associated with morbidity. These conditions in combination lead to worse health outcomes, and can be identified by a high FM/FFM ratio. Here, we developed sex, age, and body mass index (BMI) stratified, population-based FM/FFM reference values using bioelectrical impedance analysis (BIA) measurements. White, non-Hispanic individuals aged 18-90 years old with data for weight, stature and BIA resistance measures from the third National Health and Nutrition Examination Survey (NHANES) III were included. Previously validated and sex-specific BIA prediction equations were used to calculate FM and FFM. FM/FFM values were generated at 5th, 50th and 95th percentiles for each sex, age (18-39.9, 40-59.9, 60-69.9 and 70-90 years), and BMI category (underweight, normal weight, overweight, class I/II and class III obesity). A total of 6372 individuals who had estimated FM and FFM values were identified (3366 females, 3006 males). Median values of FM/FFM were 0.24 and 0.40 for young (≤39.9 years) males and females with normal BMI, and 0.34 for males and 0.59 for females who were overweight. For elderly individuals aged >70 years, median FM/FFM for males and females were respectively 0.28 and 0.45 for those with normal BMI, and 0.37 and 0.61 for those in the overweight category. These FM/FFM reference values provide information on body composition characteristics that account for age, sex and BMI, which can be useful to identify individuals at risk for body composition abnormalities. Copyright © 2017 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
Assel, Melissa J; Gerdtsson, Axel; Thorek, Daniel L J; Carlsson, Sigrid V; Malm, Johan; Scardino, Peter T; Vickers, Andrew; Lilja, Hans; Ulmert, David
2018-01-19
To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013) and 1.14 (95% CI 1.02, 1.26; p = 0.016) times greater, respectively. AUCs did not meaningfully increase with the addition of weight or BMI to prediction models including PSA. In 1974 to 1986, 22,444 Swedish men aged 44 to 50 enrolled in Malmö Preventive Project, Sweden, and provided blood samples and anthropometric data. Rates of PSA screening in the cohort were very low. Documentation of PCa diagnosis and disease-specific death up to 2014 was retrieved through national registries. Among men with anthropometric measurements available at baseline, a total of 1692 men diagnosed with PCa were matched to 4190 controls, and 464 men who died of disease were matched to 1390 controls. Multivariable conditional logistic regression was used to determine whether diagnosis or death from PCa were associated with weight and body mass index (BMI) at adulthood after adjusting for PSA. Men with higher BMI and weight at early middle age have an increased risk of PCa diagnosis and death after adjusting for PSA. However, in a multi-variable numerical statistical model, BMI and weight do not importantly improve the predictive accuracy of PSA. Risk-stratification of screening should be based on PSA without reference to anthropometrics.
Royer, Julie A.; Hardin, James W.; Guinn, Caroline H.; Devlin, Christina M.
2014-01-01
Background Data from a school-based study concerning fourth-grade children’s dietary recall accuracy were linked with data from the South Carolina Department of Education (SCDE) through the South Carolina Budget and Control Board Office of Research and Statistics (ORS) to investigate the relationships of children’s school absenteeism with body mass index (BMI), academic achievement, and socioeconomic status (SES). Methods Data for all variables were available for 920 fourth-grade children during two school years (2005–2006, 2006–2007). Number of school days absent for each child and eligibility for free/reduced-price school meals (SES measure) were provided to ORS by SCDE. Children’s weight and height were measured by research staff; age/sex specific BMI percentile was calculated and grouped into categories. For academic achievement, Palmetto Achievement Challenge Tests scores were provided by the school district. The associations of absenteeism with BMI, academic achievement, SES, and school year were investigated with logistic binomial models using the modified sandwich variance estimator to adjust for multiple outcomes within schools. Results The relationships between absenteeism and each of BMI percentile category and SES were not significant (all coefficient p values > 0.118). The relationship between absenteeism and academic achievement was inversely significant (p value < 0.0001; coefficient = −0.087). Conclusions These results support the inverse relationship between absenteeism and academic achievement that was expected and has been found by other researchers. The lack of significant results concerning the relationships between absenteeism and both BMI and SES disagrees with earlier, limited research. More research to investigate these relationships is needed. PMID:21668882
Manson, Neil A.; Green, Alana J.; Abraham, Edward P.
2015-01-01
Study Design Retrospective study. Objective Quantify the effect of obesity on elective thoracolumbar spine surgery patients. Methods Five hundred consecutive adult patients undergoing thoracolumbar spine surgery to treat degenerative pathologies with minimum follow-up of at least 1 year were included. Primary outcome measures included Numerical Rating Scales for back and leg pain, the Short Form 36 Physical Component Summary and Mental Component Summary, the modified Oswestry Disability Index, and patient satisfaction scores collected preoperatively and at 3, 6, 12, and 24 months postoperatively. Secondary outcome measures included perioperative and postoperative adverse events, postoperative emergency department presentation, hospital readmission, and revision surgeries. Patients were grouped according to World Health Organization body mass index (BMI) guidelines to isolate the effect of obesity on primary and secondary outcome measures. Results Mean BMI was 30 kg/m2, reflecting a significantly overweight population. Each BMI group reported statistically significant improvement on all self-reported outcome measures. Contrary to our hypothesis, however, there was no association between BMI group and primary outcome measures. Patients with BMI of 35 to 39.99 visited the emergency department with complaints of pain significantly more often than the other groups. Otherwise, we did not detect any differences in the secondary outcome measures between BMI groups. Conclusions Patients of all levels of obesity experienced significant improvement following elective thoracolumbar spine surgery. These outcomes were achieved without increased risk of postoperative complications such as infection and reoperation. A risk–benefit algorithm to assist with surgical decision making for obese patients would be valuable to surgeons and patients alike. PMID:26933611
Danielsen, Marit; Rø, Øyvind; Romild, Ulla; Bjørnelv, Sigrid
2016-01-01
The link between compulsive exercise and eating disorders is well known, but research with clinical samples has been limited. The purpose of the study was to investigate changes in attitudes towards compulsive exercise and its impact on outcome at follow-up in female adult hospitalised patients with eating disorders. The sample consisted of 78 patients: Diagnostic distribution: anorexia nervosa 59 % (n = 46), approximately 22 % (n = 16) in bulimia nervosa, and Eating Disorder not Otherwise Specified respectively. The average follow-up period was 26 months (SD =15 months). Compulsive exercise was measured by the Exercise and Eating Disorder (EED) questionnaire. Other measures were the Eating Disorder Inventory (EDI-2), Body Attitude Test (BAT), Symptom Checklist (SCL-90), Inventory of Interpersonal Problems (IIP 64), Beck Depression Inventory (BDI), and body mass index (BMI). Outcome measures were EDI-2 and BMI (patients with admission BMI ≤ 18.5). Paired sample t-tests and mixed model regression analysis were conducted to investigate changes in compulsive exercise and predictors of outcome respectively. All measures revealed significant improvements (p < .01 - p < .001) from admission to follow-up. EED scores significantly predicted changes in EDI-2 scores and BMI (p < .01 and p < .001 respectively). Other significant predictors were BAT, SCL-90, IIP-64, BMI (p < .01-.001) (EDI-2 as outcome measure), and BAT and BDI (p < .001) (BMI as outcome measure). The results demonstrated significant improvements in attitudes towards compulsive exercise during treatment and follow-up. The change in compulsive exercise scores predicted the longer-term course of eating disorder symptoms and BMI.
Body mass index misclassification of obesity among community police officers.
Alasagheirin, Mohammad H; Clark, M Kathleen; Ramey, Sandra L; Grueskin, Esack F
2011-11-01
Occupational health nurses are at the forefront of obesity assessment and intervention and must be aware of potential inaccuracies of obesity measurement. The purpose of this study was to identify the prevalence of obesity among a sample of 84 male police officers 22 to 63 years old and determine the accuracy of body mass index (BMI) in estimating obesity compared to body fat percent (BF %). BMI identified 39.3% of the participants as obese, compared to 70.2% by BF %. BMI misclassified normal-weight officers as obese or overweight and obese officers as normal 48.8% (n = 41) of the time. The two misclassified groups had similar average BMIs but significantly different BF %. BMI was not an accurate measure of obesity among adult males. BMI underestimated the true prevalence of obesity and could represent a missed opportunity for early intervention and disease prevention. Copyright 2011, SLACK Incorporated.
Chenoweth, David H; Rager, Robin C; Haynes, Robert G
2015-09-01
To determine whether a relationship exists between elevated levels of body mass index (BMI) and workers' compensation measures. This was a retrospective analysis of 3951 workers' compensation claimants between 1981 and 2009 representing municipal workplaces. A BMI scale composed of seven levels, including two overweight tiers, was used. Higher BMI levels were related to more lost workdays, indemnity costs, and total costs. Medical care costs were virtually the same in overweight and obese claimants and moderately higher than claimants with recommended BMIs. Males were more likely to incur workers' compensation claims than females across all BMI tiers; yet, obese females incurred twice as many lost workdays and indemnity costs, and nearly 50% higher medical costs and total costs than obese men. Elevated levels of BMI negatively influence several workers' compensation outcome measures.
Behavioural measures of child's eating temperament and their link with BMI.
Godefroy, Valérie; Trinchera, Laura; Darcel, Nicolas; Rigal, Natalie
2017-03-01
Rothbart's model of temperament, defined as individual differences in reactivity and self-regulation, has a strong heuristic value with applications in a wide variety of children's outcomes. Our objective was to test Rothbart's model applied to children's food behaviours and BMI outcome through behavioural measures. Our hypotheses, according to Rothbart's model, were as follows: (i) self-regulation in eating modulates appetite reactivity; (ii) appetite reactivity increases the risk of excess BMI, whereas self-regulation in eating limits this risk. One hundred and four children aged between 7 and 12 years completed four behavioural tasks to assess scores for two components of appetite reactivity (i.e. appetite arousal and appetite persistence) and two components of self-regulation in eating (i.e. self-regulation in eating without hunger and self-regulation in eating speed). Their heights and weights were measured in order to calculate their BMI-for-age. T-tests and regression analysis were used to verify our hypotheses. None of the scores of self-regulation in eating was directly associated with BMI but we observed a significant impact of self-regulation in eating without hunger on appetite arousal (p-value = 0.04), together with a modest but significant association between appetite persistence and BMI (p-value = 0.02). We can thus conclude that our behavioural measures could be used for the determination of the child's eating temperament. Further studies are needed to investigate how to use these measures to improve the treatment of overweight in children. Copyright © 2016 Elsevier Ltd. All rights reserved.
Body mass index and outcome in renal transplant recipients: a systematic review and meta-analysis.
Lafranca, Jeffrey A; IJermans, Jan N M; Betjes, Michiel G H; Dor, Frank J M F
2015-05-12
Whether overweight or obese end stage renal disease (ESRD) patients are suitable for renal transplantation (RT) is often debated. The objective of this review and meta-analysis was to systematically investigate the outcome of low versus high BMI recipients after RT. Comprehensive searches were conducted in MEDLINE OvidSP, Web of Science, Google Scholar, Embase, and CENTRAL (the Cochrane Library 2014, issue 8). We reviewed four major guidelines that are available regarding (potential) RT recipients. The methodology was in accordance with the Cochrane Handbook for Systematic Reviews of Interventions and written based on the PRISMA statement. The quality assessment of studies was performed by using the GRADE tool. A meta-analysis was performed using Review Manager 5.3. Random-effects models were used. After identifying 5,526 studies addressing this topic, 56 studies were included. We extracted data for 37 outcome measures (including data of more than 209,000 RT recipients), of which 26 could be meta-analysed. The following outcome measures demonstrated significant differences in favour of low BMI (<30) recipients: mortality (RR = 1.52), delayed graft function (RR = 1.52), acute rejection (RR = 1.17), 1-, 2-, and 3-year graft survival (RR = 0.97, 0.95, and 0.97), 1-, 2-, and 3-year patient survival (RR = 0.99, 0.99, and 0.99), wound infection and dehiscence (RR = 3.13 and 4.85), NODAT (RR = 2.24), length of hospital stay (2.31 days), operation duration (0.77 hours), hypertension (RR = 1.35), and incisional hernia (RR = 2.72). However, patient survival expressed in hazard ratios was in significant favour of high BMI recipients. Differences in other outcome parameters were not significant. Several of the pooled outcome measurements show significant benefits for 'low' BMI (<30) recipients. Therefore, we postulate that ESRD patients with a BMI >30 preferably should lose weight prior to RT. If this cannot be achieved with common measures, in morbidly obese RT candidates, bariatric surgery could be considered.
BMI Trajectories Associated With Resolution of Elevated Youth BMI and Incident Adult Obesity.
Buscot, Marie-Jeanne; Thomson, Russell J; Juonala, Markus; Sabin, Matthew A; Burgner, David P; Lehtimäki, Terho; Hutri-Kähönen, Nina; Viikari, Jorma S A; Jokinen, Eero; Tossavainen, Paivi; Laitinen, Tomi; Raitakari, Olli T; Magnussen, Costan G
2018-01-01
Youth with high BMI who become nonobese adults have the same cardiovascular risk factor burden as those who were never obese. However, the early-life BMI trajectories for overweight or obese youth who avoid becoming obese adults have not been described. We aimed to determine and compare the young-childhood BMI trajectories of participants according to their BMI status in youth and adulthood. Bayesian hierarchical piecewise regression modeling was used to analyze the BMI trajectories of 2717 young adults who had up to 8 measures of BMI from childhood (ages 3-18 years) to adulthood (ages 34-49 years). Compared with those with persistently high BMI, those who resolved their high youth BMI by adulthood had lower average BMI at age 6 years and slower rates of BMI change from young childhood. In addition, their BMI levels started to plateau at 16 years old for females and 21 years old for males, whereas the BMI of those whose high BMI persisted did not stabilize until 25 years old for male subjects and 27 years for female subjects. Compared with those youth who were not overweight or obese and who remained nonobese in adulthood, those who developed obesity had a higher BMI rate of change from 6 years old, and their BMI continued to increase linearly until age 30 years. Efforts to alter BMI trajectories for adult obesity should ideally commence before age 6 years. The natural resolution of high BMI starts in adolescence for males and early adulthood for females, suggesting a critical window for secondary prevention. Copyright © 2018 by the American Academy of Pediatrics.
BMI Health Report Cards: Parents' Perceptions and Reactions.
Jones, Marla; Huffer, Cassie; Adams, Tom; Jones, Logan; Church, Bryan
2017-12-01
In 2003, Arkansas became the first state to require body mass index (BMI) testing in public schools to raise awareness of the growing obesity epidemic among children and adolescents. Limited information exists regarding the effectiveness of school-based BMI screening programs. The purpose of this study was to determine if BMI health report cards affected parents' knowledge or actions regarding their child's health and to determine the accuracy of parents' perceptions of their child as underweight, normal weight, or overweight according to their child's BMI. A questionnaire was developed with the help of physical educators, pediatricians, and exercise scientists to determine parents' perceptions and behaviors regarding BMI report cards. The questionnaire was distributed to parents/guardians of children who sought medical care at two pediatrician's offices in Arkansas. Based on responses to survey questions, parents are not making changes to their child's diet and exercise habits if their child is classified as "at risk" or "overweight." However, parents did report that BMI health report cards are influencing their knowledge about their child's health. The majority of parents in the study (approximately 66%) did not accurately perceive their child's BMI category.
Socioeconomic differences in childhood BMI trajectories in Belarus.
Patel, Rita; Tilling, Kate; Lawlor, Debbie A; Howe, Laura D; Hughes, Rachael A; Bogdanovich, Natalia; Matush, Lidia; Nicoli, Emily; Oken, Emily; Kramer, Michael S; Martin, Richard M
2018-02-28
To examine associations of parental socioeconomic position with early-life offspring body mass index (BMI) trajectories in a middle-income country. Overall, 12,385 Belarusian children born 1996-97 and enrolled in a randomised breastfeeding promotion trial at birth, with 3-14 measurements of BMI from birth to 7 years. Cohort analysis in which exposures were parental education (common secondary or less; advanced secondary or partial university; completed university) and occupation (manual; non-manual) at birth, and the outcome was BMI z-score trajectories estimated using multilevel linear spline models, controlling for trial arm, location, parental BMI, maternal smoking status and number of older siblings. Infants born to university-educated mothers were heavier at birth than those born to secondary school-educated mothers [by 0.13 BMI z-score units (95% confidence interval, CI: 0.07, 0.19) for girls and 0.11 (95% CI: 0.05, 0.17) for boys; equivalent for an infant of average birth length to 43 and 38 g, respectively]. Between the ages of 3-7 years children of the most educated mothers had larger BMI increases than children of the least educated mothers. At age 7 years, after controlling for trial arm and location, children of university-educated mothers had higher BMIs than those born to secondary school-educated mothers by 0.11 z-score (95% CI: 0.03, 0.19) among girls and 0.18 (95% CI: 0.1, 0.27) among boys, equivalent to differences in BMI for a child of average height of 0.19 and 0.26 kg/m 2 , respectively. After further controlling for parental BMI, these differences attenuated to 0.08 z-score (95% CI: 0, 0.16) and 0.16 z-score (95% CI: 0.07, 0.24), respectively, but changed very little after additional adjustment for number of older siblings and mother's smoking status. Associations were similar when based on paternal educational attainment and highest household occupation. In Belarus, consistent with some middle-income countries, higher socioeconomic position was associated with greater BMI trajectories from age 3 onwards.
Singh, Rekha; Gupta, Sushil; Awasthi, Ashish
2015-01-01
Osteoporosis is an important health problem in postmenopausal women. Lactation duration (LD), parity, menopause duration (MD), and body mass index (BMI) are important predictors of bone mineral density (BMD) and osteoporotic fractures in them. In addition, they have site-specific effects on BMD. Osteoporosis is especially prevalent in postmenopausal women. The aim of the study was to determine the effects of age, parity, LD, MD, and BMI on BMD at different sites and hip geometry in postmenopausal women. In this cross-sectional study, 87 women (45 years and above and at least 5 years postmenopausal) were enrolled. Subjects were divided into three parity groups (group 1: ≤ 2 children, group: 3-4 children, and group 3: > 4 children) and three LD groups (group 1: < 4 years, group 2: 4-8 years, and group 3: > 8 years). BMD was measured at neck of femur (BMD-NF), trochanter (BMD-TR), inter-trochanter (BMD-IT), spine (BMD-LS), and forearm (BMD-FA). Hip geometry was analyzed based on dual energy X-ray absorptiometry. One way ANOVA was used for comparisons of groups, and Bonferroni correction was used as post-hoc test. p value < 0.05 was considered significant. A significant difference in mean BMD was found between parity groups 1 and 3 at BMD-NF, BMD-TR, and BMD-LS, and between LD groups 1 and 3 at BMD-NF, BMD-TR, BMD-IT, and BMD-LS. Mean buckling ratio (BR) at IT was significantly different between parity groups 1 and 3, and LD groups 1 and 3. In multivariate regression analysis, BMI, age, and parity were significant predictors for BMD-NF; parity, BMI, and MD for BMD-TR; BMI, MD, and LD for BMD-IT; BMI and LD for BMD-LS; and age, LD, and BMI for BMD-FA. BMI and LD were significant predictors of IT-BR, while MD and BMI of narrow neck BR. MD, LD, parity, BMI, and age are important factors influencing BMD at hip and spine in postmenopausal women, and have site-specific effects on BMD.
Nugent, Stephen D; Kaats, Gilbert R; Preuss, Harry G
2018-01-01
A general assumption is that the body mass index (BMI) reflects changes in fat mass (FM). However, it fails to distinguish the type of weight that is lost or gained-fat mass (FM) or fat-free mass (FFM). The BMI treats both changes the same although they have opposite health consequences. The objective of this study was to propose a more precise measure, a body composition change index (BCCI), which distinguishes between changes in FM and FFM, and this study compares it with using the BMI as an outcome measure. Data were obtained from 3,870 subjects who had completed dual-energy x-ray absorptiometry (DEXA) total body scans at baseline and end-of-study when participating in a variety of weight-loss interventions. Since height remained constant in this adult cohort, changes in the BMI corresponded with scale weight changes (r = 0.994), allowing BMI changes to be converted to "lbs." to match the statistic used for calculation of the BCCI. The BCCI is calculated by scoring increases in FFM (lbs.) and decreases in FM (lbs.) as positive outcomes and scoring decreases in FFM and increases in FM as negative outcomes. The BCCI is the net sum of these calculations. Differences between scale weight changes and BCCI values were subsequently compared to obtain "discordance scores." Discordance scores ranged from 0.0 lbs. to >30.0 lbs. with a mean absolute value of between the two measures of 7.79 lbs. (99% confidence interval: 7.49-8.10, p <0.00001), SD = 7.4 lbs. Similar discordance scores were also found in subgroups of self-reported gender, ethnicity, and age. A significant difference of 7.79 lbs. was found between the BCCI and the BMI to evaluate the efficacy of weight loss interventions. If assessing changes in body composition is a treatment goal, use of the BMI could result in significantly erroneous conclusions.
BMI Trajectories from Birth to Young Adulthood.
McGinty, Shannon M; Osganian, Stavroula K; Feldman, Henry A; Milliren, Carly E; Field, Alison E; Richmond, Tracy K
2018-06-01
This study aimed to compare BMI trajectories from childhood to early adulthood in those with overweight and/or obesity versus severe obesity. Longitudinal BMI values (2,542 measurements) were calculated from measured heights and weights for 103 children, adolescents, or young adults with overweight, obesity, or severe obesity. Segmented regression with splines was used to model BMI trajectories. Sixty-nine participants were classified as ever having severe obesity versus 34 who never had severe obesity. Trajectories and slopes did not differ by sex or race/ethnicity. Compared with those who never had severe obesity, BMI was higher in the group with severe obesity at all ages, and BMI slope was higher for those with severe obesity at age 14 (P = 0.002), with peak slope occurring later (18 years vs. 16 years) and higher (4.5 ± 0.5 kg/m 2 /y vs. 2.9 ± 0.5 kg/m 2 /y; P < 0.02). In the group without severe obesity, BMI fell below zero by the mid-20s (-0.3 ± 0.6 kg/m 2 /y); in those with severe obesity, BMI slope never reached zero (0.9 ± 0.5 kg/m 2 /y). Youth with severe obesity, compared with their peers without, started with higher BMIs, had more rapid rates of BMI increase beginning at age 14, as well as a higher peak and longer period of increase, and never achieved weight stabilization. © 2018 The Obesity Society.
Calzo, Jerel P.; Sonneville, Kendrin R.; Haines, Jess; Blood, Emily A.; Field, Alison E.; Austin, S. Bryn
2012-01-01
Purpose To examine how the associations among BMI and body dissatisfaction and weight and shape concern evolve from late childhood through late adolescence in boys and girls. Methods We analyze data from 9–18-year-olds from the Growing Up Today Study, a national prospective cohort of U.S. Youth (n= 16,882, yielding 59,750 repeated measures observations during five waves of data collection). Generalized additive models produced curves of association for body dissatisfaction and weight concern across BMI percentiles. Generalized estimating equations (adjusting for correlated within-subject repeated measures, sibling clusters, pubertal maturation, and region of residence) tested main and interactive effects of BMI, age, and gender. Results Girls above the 50th BMI percentile reported greater body dissatisfaction than girls below the 50th percentile. By contrast, boys who reported the most body dissatisfaction were either above the 75th BMI percentile (approaching overweight) or below the 10th percentile (approaching underweight). Body dissatisfaction increased with age for both girls and boys, but the gender-specific patterns of BMI effects remained constant. Male and female participants in the overweight/obese BMI range reported the greatest weight concern, but among older adolescents (particularly girls), healthy weight became increasingly associated with greater weight and shape concern. Conclusions Body dissatisfaction and weight and shape concern intensify across adolescence, but associations between the constructs and BMI remain gender-specific. Findings have important implications for eating disorder risk assessment and prevention. PMID:23084175
Nederkoorn, Chantal; Havermans, Remco C; Giesen, Janneke C A H; Jansen, Anita
2011-06-01
The present study examined whether a high tax on high calorie dense foods effectively reduces the purchased calories of high energy dense foods in a web based supermarket, and whether this effect is moderated by budget and weight status. 306 participants purchased groceries in a web based supermarket, with an individualized budget based on what they normally spend. Results showed that relative to the no tax condition, the participants in the tax condition bought less calories. The main reduction was found in high energy dense products and in calories from carbohydrates, but not in calories from fat. BMI and budget did not influence the effectiveness of the tax. The reduction in calories occurred regardless of budget or BMI implying that a food tax may be a beneficial tool, along with other measures, in promoting a diet with fewer calories. Copyright © 2011 Elsevier Ltd. All rights reserved.
Carson, Scott Alan
2015-04-01
The use of body mass index values (BMI) to measure living standards is now a well-accepted method in economics. Nevertheless, a neglected area in historical studies is the relationship between 19th century BMI and family size, and this relationship is documented here to be positive. Material inequality and BMI are the subject of considerable debate, and there was a positive relationship between BMI and wealth and an inverse relationship with inequality. After controlling for family size and wealth, BMI values were related with occupations, and farmers and laborers had greater BMI values than workers in other occupations. Copyright © 2014 Elsevier GmbH. All rights reserved.
Kerwin, Diana R.; Zhang, Yinghua; Kotchen, Jane Morley; Espeland, Mark A.; Van Horn, Linda; McTigue, Kathleen M.; Robinson, Jennifer G.; Powell, Lynda; Kooperberg, Charles; Coker, Laura H.; Hoffmann, Raymond
2010-01-01
OBJECTIVES To determine if body weight (BMI) is independently associated with cognitive function in postmenopausal women and the relationship between body fat distribution as estimated by waist-hip-ratio (WHR) and cognitive function. DESIGN Cross-sectional data analysis SETTING Baseline data from the Women's Health Initiative (WHI) hormone trials. PARTICIPANTS 8745 postmenopausal women aged 65–79 years, free of clinical evidence of dementia and completed baseline evaluation in the Women's Health Initiative (WHI) hormone trials. MEASUREMENTS Participants completed a Modified Mini-Mental State Examination (3MSE), health and lifestyle questionnaires, and standardized measurements of height, weight, body circumferences and blood pressure. Statistical analysis of associations between 3MSE scores, BMI and WHR after controlling for known confounders. RESULTS With the exception of smoking and exercise, vascular disease risk factors, including hypertension, waist measurement, heart disease and diabetes, were significantly associated with 3MSE score and were included as co-variables in subsequent analyses. BMI was inversely related to 3MSE scores, for every 1 unit increase in BMI, 3MSE decrease 0.988 (p=.0001) after adjusting for age, education and vascular disease risk factors. BMI had the most pronounced association with poorer cognitive functioning scores among women with smaller waist measurements. Among women with the highest WHR, cognitive scores increased with BMI. CONCLUSION Increasing BMI is associated with poorer cognitive function in women with smaller WHR. Higher WHR, estimating central fat mass, is associated with higher cognitive function in this cross-sectional study. Further research is needed to clarify the mechanism for this association. PMID:20646100
Ruttle, Paula L; Klein, Marjorie H; Slattery, Marcia J; Kalin, Ned H; Armstrong, Jeffrey M; Essex, Marilyn J
2014-09-01
Prior research has linked either basal cortisol levels or stress-induced cortisol responses to adiposity; however, it remains to be determined whether these distinct cortisol measures exert joint or independent effects. Further, it is unclear how they interact with individual and environmental characteristics to predict adiposity. The present study aims to address whether morning cortisol levels and cortisol responses to a psychosocial stressor independently and/or interactively influence body mass index (BMI) in 218 adolescents (117 female) participating in a longitudinal community study, and whether associations are moderated by sex and exposure to early maternal depression. Reports of maternal depressive symptoms were obtained in infancy and preschool. Salivary cortisol measures included a longitudinal morning cortisol measure comprising sampling points across ages 11, 13, 15, and 18 and measures of stress-induced cortisol responses assessed via the Trier Social Stress Test (TSST) at age 18. Lower morning cortisol and higher TSST cortisol reactivity independently predicted higher age 18 BMI. Morning cortisol also interacted with sex and exposure to early maternal depression to predict BMI. Specifically, girls exposed to lower levels of early maternal depression displayed a strong negative morning cortisol-BMI association, and girls exposed to higher levels of maternal depression demonstrated a weaker negative association. Among boys, those exposed to lower levels of maternal depression displayed no association, while those exposed to higher levels of maternal depression displayed a negative morning cortisol-BMI association. Results point to the independent, additive effects of morning and reactive cortisol in the prediction of BMI and suggest that exposure to early maternal depression may exert sexually dimorphic effects on normative cortisol-BMI associations. Copyright © 2014 Elsevier Ltd. All rights reserved.
Skidmore, Paula M L; Howe, Anna S; Polak, Maria A; Wong, Jyh Eiin; Lubransky, Alex; Williams, Sheila M; Black, Katherine E
2013-09-14
While relationships between sleep and BMI have been extensively studied in younger children the effect of sleep duration on adiposity in adolescents, who are undergoing rapid growth periods, is less well known. There is also a lack of consistent evidence on the role of sleep on other measures of adolescent body composition which may be more reflective of health than BMI in this age group. Previous research investigating whether these relationships differ between sexes is also inconsistent. Therefore the objective of this study was to investigate relationships between sleep duration and multiple body composition measures in older adolescents and to investigate if these relationships differ between boys and girls. A web-based cross-sectional survey and anthropometric measurement of 685 adolescents (mean age 15.8 years) from 11 schools in Otago, New Zealand. Height and weight were measured by trained researchers and fat mass and fat-free mass were estimated using bio-impedance. Generalised estimating equations were used to examine associations between sleep duration and the following body composition measures: BMI, waist circumference (WC), waist-to-height ratio (WHtR), fat mass index (FMI), and fat-free mass index (FFMI). Analyses were adjusted for ethnicity, deprivation, the number of screens in the bedroom and fruit and vegetable consumption. When data from all participants were analysed together, no significant relationships were seen between sleep duration and any body composition measure but significant sex interactions were seen. An hour increase in average nightly sleep duration in boys only was associated with decreases of 1.2% for WC, 0.9% for WHtR, 4.5% for FMI and 1.4% for FFMI in multivariate models. Similar results were seen for weekday and weekend night sleep duration. Sex specific factors may play a role in relationships between sleep and body composition in older adolescents. The results in boys were most pronounced for FMI, a measure of total adiposity, which suggests that insufficient sleep in adolescent boys may affect fat mass more than lean mass and that the use of measures such as BMI may result in an under-estimation of relationships.
Mohammed Nawi, AZMAWATI; Che Jamaludin, FARRAH ILYANI
2015-01-01
Background: Co-morbidities in adulthood is a significant problem and is associated with obesity during adolescent. Methods: This 3-months randomised controlled trial was aimed at determining the effectiveness of having internet-based intervention (obeseGO!) toward obesity among adolescents in Kuala Lumpur. Forty seven students were assigned randomly to the obeseGO! (intervention) group for internet-based intervention i.e., information on healthy lifestyle and diet were provided via the internet. Fifty students were assigned to the control group, where pamphlets containing health education were provided to these students. The measurement of body mass index (BMI), waist circumference, and the body fat percentage was taken at baseline and after 12 weeks of intervention. Results: The multivariate analysis of variance (MANOVA) analysis found that obeseGO! had a small effect in reducing BMI, waist circumference and body fat percentage. Conclusion: The internet-based obesity intervention program may be an effective medium for promoting healthy diet and physical activity among the obese adolescents. PMID:26715908
Permethrin Exposure Dosimetry: Biomarkers and Modifiable Factors
2016-08-01
the effect of body weight/ BMI and total energy expenditure on permethrin absorption and dose, as determined by measurement of urinary biomarkers...body weight/ BMI and total energy expenditure on permethrin absorption and dose, as determined by measurement of urinary biomarkers (3PBA and cis- and
Williams, Julianne; Scarborough, Peter; Townsend, Nick; Matthews, Anne; Burgoine, Thomas; Mumtaz, Lorraine; Rayner, Mike
2015-01-01
Researchers and policy-makers are interested in the influence that food retailing around schools may have on child obesity risk. Most previous research comes from North America, uses data aggregated at the school-level and focuses on associations between fast food outlets and school obesity rates. This study examines associations between food retailing and BMI among a large sample of primary school students in Berkshire, England. By controlling for individual, school and home characteristics and stratifying results across the primary school years, we aimed to identify if the food environment around schools had an effect on BMI, independent of socio-economic variables. We measured the densities of fast food outlets and food stores found within schoolchildren's home and school environments using Geographic Information Systems (GIS) and data from local councils. We linked these data to measures from the 2010/11 National Child Measurement Programme and used a cross-classified multi-level approach to examine associations between food retailing and BMI z-scores. Analyses were stratified among Reception (aged 4-5) and Year 6 (aged 10-11) students to measure associations across the primary school years. Our multilevel model had three levels to account for individual (n = 16,956), home neighbourhood (n = 664) and school (n = 268) factors. After controlling for confounders, there were no significant associations between retailing near schools and student BMI, but significant positive associations between fast food outlets in home neighbourhood and BMI z-scores. Year 6 students living in areas with the highest density of fast food outlets had an average BMI z-score that was 0.12 (95% CI: 0.04, 0.20) higher than those living in areas with none. We found little evidence to suggest that food retailing around schools influences student BMI. There is some evidence to suggest that fast food outlet densities in a child's home neighbourhood may have an effect on BMI, particularly among girls, but more research is needed to inform effective policies targeting the effects of the retail environment on child obesity.
Williams, Julianne; Scarborough, Peter; Townsend, Nick; Matthews, Anne; Burgoine, Thomas; Mumtaz, Lorraine; Rayner, Mike
2015-01-01
Introduction Researchers and policy-makers are interested in the influence that food retailing around schools may have on child obesity risk. Most previous research comes from North America, uses data aggregated at the school-level and focuses on associations between fast food outlets and school obesity rates. This study examines associations between food retailing and BMI among a large sample of primary school students in Berkshire, England. By controlling for individual, school and home characteristics and stratifying results across the primary school years, we aimed to identify if the food environment around schools had an effect on BMI, independent of socio-economic variables. Methods We measured the densities of fast food outlets and food stores found within schoolchildren’s home and school environments using Geographic Information Systems (GIS) and data from local councils. We linked these data to measures from the 2010/11 National Child Measurement Programme and used a cross-classified multi-level approach to examine associations between food retailing and BMI z-scores. Analyses were stratified among Reception (aged 4-5) and Year 6 (aged 10-11) students to measure associations across the primary school years. Results Our multilevel model had three levels to account for individual (n = 16,956), home neighbourhood (n = 664) and school (n = 268) factors. After controlling for confounders, there were no significant associations between retailing near schools and student BMI, but significant positive associations between fast food outlets in home neighbourhood and BMI z-scores. Year 6 students living in areas with the highest density of fast food outlets had an average BMI z-score that was 0.12 (95% CI: 0.04, 0.20) higher than those living in areas with none. Discussion We found little evidence to suggest that food retailing around schools influences student BMI. There is some evidence to suggest that fast food outlet densities in a child’s home neighbourhood may have an effect on BMI, particularly among girls, but more research is needed to inform effective policies targeting the effects of the retail environment on child obesity. PMID:26186610
Mattar, Lama; Thiébaud, Marie-Raphaele; Huas, Caroline; Cebula, Christelle; Godart, Nathalie
2012-12-30
Depression, anxiety and obsessive-compulsive disorder are frequently reported to co-occur with anorexia nervosa (AN). There is clinical consensus that depressive symptoms and anxiety may in part be sequelae of malnutrition in AN. However, evidence-based data are still very rare. The present study among severe AN patients investigates links between these psychological variants and nutritional status at admission and subsequent to nutritional rehabilitation. Twenty-four women with AN diagnosed according to the Diagnostic and Statistical Manual IV (DSM-IV) were included prospectively and consecutively at hospitalisation. Nutritional status was assessed by body mass index (BMI). Several psychological aspects were assessed using various scales for depression, anxiety, social phobia, obsessive and eating behaviour symptoms. Follow-up weights and heights at 4-12 years after hospital discharge were measured in 18 patients. BMI and all the scores except the Yale-Brown obsessive-compulsive scale (Y-BOCS) showed significant improvement between admission and discharge. This study highlights the fact that some of the depressive and anxiety symptoms at least partially decrease with nutrition rehabilitation. The improvement in the scores on the psychometric scales between admission and discharge was not correlated with BMI improvement. Psychometric scores at admission and at discharge were not correlated with BMI at follow-up. BMI at follow-up was correlated with minimum lifetime BMI (r=0.486, P=0.04). Future studies should use a better indicator for nutritional status than BMI alone, and should also consider the initial degree of weight loss and the rate at which weight was lost. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Nelson, Devin S; Gerras, Julia M; McGlumphy, Kellye C; Shaver, Erika R; Gill, Amaanat K; Kanneganti, Kamala; Ajibewa, Tiwaloluwa A; Hasson, Rebecca E
The purpose of this study was to examine the relationships between environmental factors, including household education, community violence exposure, racial discrimination, and cultural identity, and BMI in African American adolescents. A community-based sample of 198 African American youth (120 girls, 78 boys; ages 11-19 years) from Washtenaw County, Michigan, were included in this analysis. Violence exposure was assessed by using the Survey of Children's Exposure to Community Violence; racial discrimination by using the Adolescent Discrimination Distress Index; cultural identity by using the Acculturation, Habits, and Interests Multicultural Scale for Adolescents; and household education by using a seven-category variable. Measured height and body weight were used to calculate BMI. Racial discrimination was positively associated with BMI, whereas household education was inversely associated with BMI in African American adolescents (discrimination: β = 0.11 ± 0.04, p = 0.01; education: β = -1.13 ± 0.47, p = 0.02). These relationships were significant when accounting for the confounding effects of stress, activity, diet, and pubertal development. Significant gender interactions were observed with racial discrimination and low household education associated with BMI in girls only (discrimination: β = 0.16 ± 0.05, p = 0.003; education: β = -1.12 ± 0.55, p = 0.045). There were no significant relationships between culture, community violence exposure, and BMI (all p's > 0.05). Environmental factors, including racial discrimination and low household education, predicted higher BMI in African American adolescents, particularly among girls. Longitudinal studies are needed to better understand the mechanisms by which these environmental factors increase obesity risk in African American youth.
Walter, Stefan; Glymour, M. Maria; Koenen, Karestan; Liang, Liming; Tchetgen Tchetgen, Eric J; Cornelis, Marilyn; Chang, Shun-Chiao; Rewak, Marissa; Rimm, Eric; Kawachi, Ichiro; Kubzansky, Laura D.
2015-01-01
Background Obesity and anxiety are often linked but the direction of effects is not clear. Methods Using genetic instrumental variable (IV) analyses in a sample of 5911 female participants from the Nurses´ Health Study (NHS, initiated in 1976) and 3697 male participants from the Health Professional Follow-up Study (HPFS, initiated in 1986), we aim to determine whether obesity increases symptoms of phobic anxiety. FTO, MC4R, and a genetic risk score (GRS) based on 32 single nucleotide polymorphisms that significantly predict body mass index (BMI), were used as instrumental variables. “Functional” GRS corresponding with specific biological pathways that shape BMI (adipogenesis, appetite, and cardio-pulmonary), were considered. Phobic anxiety as measured by the Crown Crisp Experimental Index (CCI) in 2004 in NHS and 2000 in HPFS was the main outcome. Results In observational analysis, a one unit higher BMI was associated with higher phobic anxiety symptoms (women NHS: beta=0.05; 95% Confidence Interval (CI): 0.030 – 0.068 and men, HPFS, beta = 0.04; 95% CI: 0.016 – 0.071). IV analyses showed that BMI instrumented by FTO was associated with higher phobic anxiety symptoms (p = 0.005) but BMI instrumented by GRS was not (p=0.256). Functional GRS scores showed heterogeneous, non-significant effects of BMI on phobic anxiety symptoms. Conclusions Our findings do not provide conclusive evidence in favor of the hypothesis that higher BMI leads to higher levels of phobic anxiety, but rather suggest that genes that influence obesity, in particular FTO, may have direct effects on phobic anxiety, i.e., that obesity and phobic anxiety may share common genetic determinants. PMID:25065638
Savanur, Mitravinda S; Ghugre, Padmini S
2016-06-01
To compare the BMI, body fat and waist-to-height ratio (WHtR) of stunted and non-stunted children following different growth trajectories from low socio-economic strata in Mumbai, India. Cross-sectional, case-control study. Weight, height, skinfold thicknesses and waist circumference were measured. Information regarding the duration of breast-feeding, age at initiation of complementary feeding and income was obtained. Birth weight was obtained from records. BMI, body fat, WHtR and change in weight sd were calculated. Children who were beneficiaries of anganwadis, Mumbai city, India. Three hundred and thirty children aged 2-4 years were selected in each of the stunted and non-stunted groups after matching for age and sex. After adjusting for birth weight, change in weight sd, duration of breast-feeding, age at complementary feeding initiation and income, stunted children had significantly higher body fat, WHtR and BMI than the non-stunted (P<0·01). The stunted and non-stunted children were classified based on their change in weight sd. Stunted children with no change in weight sd had higher mean body fat, BMI (P<0·01) and WHtR (P<0·05) than their non-stunted counterparts. In the catch-up growth group, stunted children had higher BMI and WHtR than the non-stunted (both P<0·001). In the catch-down growth group, stunted children had higher BMI than the non-stunted (P<0·001). Stunting was seen to increase the tendency of conserving body fat in young children. Such a tendency, if continued during later childhood and adolescence, can increase the risk of obesity and non-communicable diseases.
Alarming weight gain in women of a post-transitional country.
Garmendia, Maria L; Alonso, Faustino T; Kain, Juliana; Uauy, Ricardo; Corvalan, Camila
2014-03-01
In post-transitional countries, obesity disproportionally affects women. Longitudinal studies can detect high-risk groups in whom to target actions. We investigated the magnitude and velocity of BMI changes in Chilean women of reproductive age and evaluated whether these trends vary in specific groups. Longitudinal study. We measured weight and height in 2007 (baseline) and again in 2010 (follow-up); we estimated change in BMI (weight/height2) within the 3-year period and assessed its relationship with age, years of education and parity, collected at baseline and follow-up using a questionnaire. Population-based cohort of low- to middle-income Chilean women. Seven hundred and sixty-one women of reproductive age (mean 32·0 (sd 7·0) years), mothers of children who participate in the Growth and Obesity Cohort Study (GOCS). At baseline, 61 % of women had BMI ≥ 25·0 kg/m2. After 3 years, women gained on average 2·6 kg and obesity (BMI ≥ 30·0 kg/m2) increased by 23 % (12 % new obesity cases). Women with normal nutritional status gained more BMI than obese women (1·4 v. 0·6 kg/m2, P < 0·001). An increase in parity was positively associated with BMI change, independently of age, nutritional status and education (P < 0·05). Age and education were not associated with BMI change after controlling for other factors (P > 0·05). In Chile, a post-transitional country, we observed an alarming increase in obesity among women of reproductive age. Our results indicate that in this population actions need to be targeted at all women irrespective of their nutritional status. A key component of these policies should be avoiding excessive weight gain during pregnancy.
Barr, Susan I; DiFrancesco, Loretta; Fulgoni, Victor L
2016-03-31
This study examined the association of breakfast consumption, and the type of breakfast consumed, with body mass index (BMI; kg/m(2)) and prevalence rates and odds ratios (OR) of overweight/obesity among Canadian adults. These associations were examined by age group and sex. We used data from non-pregnant, non-lactating participants aged ≥ 18 years (n = 12,377) in the Canadian Community Health Survey Cycle 2.2, a population-based, nationally-representative, cross-sectional study. Height and weight were measured, and BMI was calculated. Breakfast consumption was self-reported during a standardized 24-h recall; individuals were classified as breakfast non-consumers, consumers of breakfasts that included ready-to-eat cereal (RTEC) or as other breakfast consumers. Mean BMI and prevalence and OR of overweight/obesity (BMI ≥ 25) were compared among breakfast groups, with adjustment for sociodemographic variables (including age, sex, race, marital status, food security, language spoken at home, physical activity category, smoking, education level and supplement use). For the entire sample, mean BMI was significantly lower among RTEC-breakfast consumers than other breakfast consumers (mean ± SE 26.5 ± 0.2 vs. 27.1 ± 0.1 kg/m(2)), but neither group differed significantly from breakfast non-consumers (27.1 ± 0.3 kg/m(2)). Similar results were seen in women only, but BMI of men did not differ by breakfast category. Overweight/obesity prevalence and OR did not differ among breakfast groups for the entire sample or for all men and women separately. When examined by sex and age group, differences were inconsistent, but tended to be more apparent in women than men. Among Canadian adults, breakfast consumption was not consistently associated with differences in BMI or overweight/obesity prevalence.
DerSarkissian, Maral; Bhak, Rachel H; Huang, Joanna; Buchs, Sarah; Vekeman, Francis; Smolarz, B Gabriel; Brett, Jason; Ganguly, Rahul; Duh, Mei Sheng
2017-06-01
Characterize patterns of weight change among subjects with obesity. A retrospective observational longitudinal study of subjects with obesity was conducted using the General Electric Centricity electronic medical record database. Subjects who were ≥18 years old with BMI ≥30 kg/m 2 (first defining index BMI), had no medical conditions associated with unintentional weight loss, and had ≥4 BMI measurements/year for ≥2.5 years were included and categorized into groups (stable weight: within <5% of index BMI; modest weight loss: ≥5 to <10% of index BMI lost; moderate weight loss: ≥10 to <15% of index BMI lost; and high weight loss: ≥15% of index BMI lost) based on weight change during 6 months following index. No interventions were considered. Patterns of weight change were then assessed for 2 years. A total of 177,743 subjects were included: 85.1% of subjects were in the stable weight, 9.3% in the modest, 2.3% in the moderate, and 3.3% in the high weight loss groups. The proportion of subjects who maintained or continued to lose weight decreased over the 2 year observation period; 11% of those with high weight loss continued to lose weight and 19% maintained their weight loss. This group had the lowest percentage of subjects who regained ≥50% of lost weight and the lowest proportion of subjects with weight cycling (defined as not continuously losing, gaining, or maintaining weight throughout the 2 year observation period relative to its beginning). This trend persisted in subgroups with class II-III obesity, pre-diabetes, and type 2 diabetes. Weight cycling and regain were commonly observed. Subjects losing the most weight during the initial period were more likely to continue losing weight.
2011-01-01
Background Overweight and obesity are highly prevalent among American Indian children, especially those living on reservations. There is little scientific evidence about the effects of summer vacation on obesity development in children. The purpose of this study was to investigate the effects of summer vacation between kindergarten and first grade on growth in height, weight, and body mass index (BMI) for a sample of American Indian children. Methods Children had their height and weight measured in four rounds of data collection (yielded three intervals: kindergarten, summer vacation, and first grade) as part of a school-based obesity prevention trial (Bright Start) in a Northern Plains Indian Reservation. Demographic variables were collected at baseline from parent surveys. Growth velocities (Z-score units/year) for BMI, weight, and height were estimated and compared for each interval using generalized linear mixed models. Results The children were taller and heavier than median of same age counterparts. Height Z-scores were positively associated with increasing weight status category. The mean weight velocity during summer was significantly less than during the school year. More rapid growth velocity in height during summer than during school year was observed. Obese children gained less adjusted-BMI in the first grade after gaining more than their counterparts during the previous two intervals. No statistically significant interval effects were found for height and BMI velocities. Conclusions There was no indication of a significant summer effect on children's BMI. Rather than seasonal or school-related patterns, the predominant pattern indicated by weight-Z and BMI-Z velocities might be related to age or maturation. Trial registration Bright Start: Obesity Prevention in American Indian Children Clinical Trial Govt ID# NCT00123032 PMID:22192795
Anthropometric profile of elite acrobatic gymnasts and prediction of role performance.
Taboada-Iglesias, Yaiza; Gutiérrez-Sánchez, Águeda; Vernetta Santana, Mercedes
2016-04-01
This study is aimed at determining the anthropometric profile of acrobatic gymnasts, differentiating on the basis of their role. The sample consisted of 150 gymnasts (129 women and 21 men) from throughout Spain. The anthropometric measurements were taken according to the International Society for the Advancement of Kinanthropometry (ISAK) procedures. Morphological measurements, proportionality and somatotype were analyzed in both groups. A comparative analysis between groups and a prediction model were used to analyze the specific profile of each role. All morphological measurements showed significant differences (P<0.05) between tops and bases, the latter presenting higher values. The endomorphic element of the bases presented higher values than the tops, for whom the ectomorphy scores were higher. Bases have an endo-mesomorphic somatotype and tops present a balanced mesomorphic. There are no mesomorphy differences between the tops and bases. BMI was significantly higher in the bases (BMI=20.28 kg/m2). Proportionality differences between roles are shown. Both roles present negatives values for almost all variables studied except for the trochlear condyle of the humerus, the bicondyle of the femur and the wrist bistyloid breadth in tops and the wrist bistyloid breadth, the upper arm relaxed girths and maximum calf in bases. The best prediction model included thigh girth as the best explanatory covariate of role performance. Here are differences between both roles, bases being gymnasts of larger size than tops. However, they present no differences in the muscular component, as it might be expected.
Robroek, Suzan JW; Ling, Sui Wai; van Rosmalen, Joost; van Rossum, Elisabeth FC; Burdorf, Alex; Hunink, MG Myriam
2017-01-01
Background Addressing the obesity epidemic requires the development of effective interventions aimed at increasing physical activity (PA). eHealth interventions with the use of accelerometers and gaming elements, such as rewarding or social bonding, seem promising. These eHealth elements, blended with face-to-face contacts, have the potential to help people adopt and maintain a physically active lifestyle. Objective The aim of this study was to assess the influence and usage of a blended Web-based gaming intervention on PA, body mass index (BMI), and waist circumference among overweight and obese employees. Methods In an uncontrolled before-after study, we observed 52 health care employees with BMI more than 25 kg/m2, who were recruited via the company’s intranet and who voluntarily participated in a 23-week Web-based gaming intervention, supplemented (blended) with non-eHealth components. These non-eHealth components were an individual session with an occupational health physician involving motivational interviewing and 5 multidisciplinary group sessions. The game was played by teams in 5 time periods, aiming to gain points by being physically active, as measured by an accelerometer. Data were collected in 2014 and 2015. Primary outcome was PA, defined as length of time at MET (metabolic equivalent task) ≥3, as measured by the accelerometer during the game. Secondary outcomes were reductions in BMI and waist circumference, measured at baseline and 10 and 23 weeks after the start of the program. Gaming elements such as “compliance” with the game (ie, days of accelerometer wear), “engagement” with the game (ie, frequency of reaching a personal monthly target), and “eHealth teams” (ie, social influence of eHealth teams) were measured as potential determinants of the outcomes. Linear mixed models were used to evaluate the effects on all outcome measures. Results The mean age of participants was 48.1 years; most participants were female (42/51, 82%). The mean PA was 86 minutes per day, ranging from 6.5 to 223 minutes, which was on average 26.2 minutes per day more than self-reported PA at baseline and remained fairly constant during the game. Mean BMI was reduced by 1.87 kg/m2 (5.6%) and waist circumference by 5.6 cm (4.8%). The univariable model showed that compliance, engagement, and eHealth team were significantly associated with more PA, which remained significant for eHealth team in the multivariable model. Conclusions This blended Web-based gaming intervention was beneficial for overweight workers in becoming physically active above the recommended activity levels during the entire intervention period, and a favorable influence on BMI and waist circumference was observed. Promising components in the intervention, and thus targets for upscaling, are eHealth teams and engagement with the game. Broader implementation and long-term follow-up can provide insights into the sustainable effects on PA and weight loss and into who benefits the most from this approach. PMID:28373157
Dale, Caroline E; Fatemifar, Ghazaleh; Palmer, Tom M; White, Jon; Prieto-Merino, David; Zabaneh, Delilah; Engmann, Jorgen E L; Shah, Tina; Wong, Andrew; Warren, Helen R; McLachlan, Stela; Trompet, Stella; Moldovan, Max; Morris, Richard W; Sofat, Reecha; Kumari, Meena; Hyppönen, Elina; Jefferis, Barbara J; Gaunt, Tom R; Ben-Shlomo, Yoav; Zhou, Ang; Gentry-Maharaj, Aleksandra; Ryan, Andy; Mutsert, Renée de; Noordam, Raymond; Caulfield, Mark J; Jukema, J Wouter; Worrall, Bradford B; Munroe, Patricia B; Menon, Usha; Power, Chris; Kuh, Diana; Lawlor, Debbie A; Humphries, Steve E; Mook-Kanamori, Dennis O; Sattar, Naveed; Kivimaki, Mika; Price, Jacqueline F; Davey Smith, George; Dudbridge, Frank; Hingorani, Aroon D; Holmes, Michael V; Casas, Juan P
2017-06-13
The implications of different adiposity measures on cardiovascular disease etiology remain unclear. In this article, we quantify and contrast causal associations of central adiposity (waist-to-hip ratio adjusted for body mass index [WHRadjBMI]) and general adiposity (body mass index [BMI]) with cardiometabolic disease. Ninety-seven independent single-nucleotide polymorphisms for BMI and 49 single-nucleotide polymorphisms for WHRadjBMI were used to conduct Mendelian randomization analyses in 14 prospective studies supplemented with coronary heart disease (CHD) data from CARDIoGRAMplusC4D (Coronary Artery Disease Genome-wide Replication and Meta-analysis [CARDIoGRAM] plus The Coronary Artery Disease [C4D] Genetics; combined total 66 842 cases), stroke from METASTROKE (12 389 ischemic stroke cases), type 2 diabetes mellitus from DIAGRAM (Diabetes Genetics Replication and Meta-analysis; 34 840 cases), and lipids from GLGC (Global Lipids Genetic Consortium; 213 500 participants) consortia. Primary outcomes were CHD, type 2 diabetes mellitus, and major stroke subtypes; secondary analyses included 18 cardiometabolic traits. Each one standard deviation (SD) higher WHRadjBMI (1 SD≈0.08 U) associated with a 48% excess risk of CHD (odds ratio [OR] for CHD, 1.48; 95% confidence interval [CI], 1.28-1.71), similar to findings for BMI (1 SD≈4.6 kg/m 2 ; OR for CHD, 1.36; 95% CI, 1.22-1.52). Only WHRadjBMI increased risk of ischemic stroke (OR, 1.32; 95% CI, 1.03-1.70). For type 2 diabetes mellitus, both measures had large effects: OR, 1.82 (95% CI, 1.38-2.42) and OR, 1.98 (95% CI, 1.41-2.78) per 1 SD higher WHRadjBMI and BMI, respectively. Both WHRadjBMI and BMI were associated with higher left ventricular hypertrophy, glycemic traits, interleukin 6, and circulating lipids. WHRadjBMI was also associated with higher carotid intima-media thickness (39%; 95% CI, 9%-77% per 1 SD). Both general and central adiposity have causal effects on CHD and type 2 diabetes mellitus. Central adiposity may have a stronger effect on stroke risk. Future estimates of the burden of adiposity on health should include measures of central and general adiposity. © 2017 American Heart Association, Inc.
Couples' body composition and time-to-pregnancy.
Sundaram, Rajeshwari; Mumford, Sunni L; Buck Louis, Germaine M
2017-03-01
Is couples' body compositions associated with reduced fecundity as measured by a longer time-to-pregnancy (TTP)? Couples whose BMI are within obese class II (≥35 kg/m2) have a longer TTP in comparison to leaner (BMI < 25 kg/m2) couples, observed only when both partner's BMI was jointly modeled. Extremes of BMI have been associated with a longer TTP and with less successful assisted reproductive technology (ART) outcomes. To our knowledge, the association between measured adiposity in both partners of the couple and prospectively measured TTP has not been investigated despite pregnancy being a couple-dependent outcome. Prospective cohort with preconception recruitment of 501 couples trying for pregnancy and recruited from 16 counties in Michigan and Texas between 2005 and 2009. Couples were followed daily for up to a year of trying or until a hCG pregnancy. In-home standardized anthropometric assessment of couples upon enrollment included measured height and weight using calibrated stadiometers and scales, and measured waist and hip circumferences. Discrete-time Cox regression was used to estimate fecundability odds ratios (FORs) and 95% CIs, controlling for potential confounders including age, number of days of vigorous physical activity, serum cotinine concentration, race, education, free cholesterol levels for each partner in partner-specific models and for both partners in couple-based models as well as average acts of intercourse per menstrual cycle and menstrual cycle regularity. Neither male nor female partner's BMI was associated with TTP when modeled individually. However, obese class II (BMIs ≥ 35.0 kg/m2) couples experienced a reduction in fecundability in both unadjusted (FOR = 0.45; 95% CI: 0.23, 0.89) and adjusted analyses (aFOR = 0.41; 95% CI: 0.17, 0.98) resulting in a longer TTP in comparison to couples with normal BMI (<25 kg/m2). Female partners' waist circumference ≥88.6 cm was associated with a significant reduction in fecundability in the unadjusted model (FOR = 0.64; 95% CI: 0.48, 0.86) but not in the adjusted model (aFOR = 0.77; 95% CI: 0.55, 1.08) in comparison to females with a smaller (<80 cm) circumference. BMI and waist circumference are proxy measures of body composition and residual confounding cannot be eliminated. Findings may not be generalizable to clinical populations. This is the first cohort study known to us with preconception enrollment of couples who underwent standardized anthropometric assessment and for whom TTP was prospectively measured. The findings underscore the importance of considering both partners' body composition for fecundity outcomes and preconception guidance. Supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (Contracts #N01-HD-3-3355, N01-HD-3-3356 and N01-HD-3-3358). The authors have no competing interests. N/A. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.
Effects of parenting style and parent-related weight and diet on adolescent weight status.
Alia, Kassandra A; Wilson, Dawn K; St George, Sara M; Schneider, Elizabeth; Kitzman-Ulrich, Heather
2013-04-01
This study examined the interaction between parental limit setting of sedentary behaviors and health factors (weight status, physical activity [PA], fruit and vegetable [FV] intake) on standardized body mass index (zBMI) in African American adolescents. Data were from 67 parent-adolescent dyads. Parental limit setting, PA and FV intake were assessed via self-report, and objective height and weight measurements were collected. Regressions examined the interaction between parental limit setting and BMI, PA, FV intake on adolescent zBMI. The model for parent BMI and FV intake accounted for 31% of the variance in adolescent zBMI. A significant interaction for parent BMI by limit setting showed that as parental BMI increased, higher (vs. lower) limit setting was associated with lower adolescent zBMI. Higher parent FV consumption was associated with lower adolescent zBMI. Future interventions should integrate parent limit setting and target parent fruit and vegetable intake for obesity prevention in underserved adolescents.
Guo, Yan; Warren Andersen, Shaneda; Shu, Xiao-Ou; Michailidou, Kyriaki; Bolla, Manjeet K; Wang, Qin; Garcia-Closas, Montserrat; Milne, Roger L; Schmidt, Marjanka K; Chang-Claude, Jenny; Dunning, Allison; Bojesen, Stig E; Ahsan, Habibul; Aittomäki, Kristiina; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Beckmann, Matthias W; Beeghly-Fadiel, Alicia; Benitez, Javier; Bogdanova, Natalia V; Bonanni, Bernardo; Børresen-Dale, Anne-Lise; Brand, Judith; Brauch, Hiltrud; Brenner, Hermann; Brüning, Thomas; Burwinkel, Barbara; Casey, Graham; Chenevix-Trench, Georgia; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Devilee, Peter; Dörk, Thilo; Dumont, Martine; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fostira, Florentia; Gammon, Marilie; Giles, Graham G; Guénel, Pascal; Haiman, Christopher A; Hamann, Ute; Hooning, Maartje J; Hopper, John L; Jakubowska, Anna; Jasmine, Farzana; Jenkins, Mark; John, Esther M; Johnson, Nichola; Jones, Michael E; Kabisch, Maria; Kibriya, Muhammad; Knight, Julia A; Koppert, Linetta B; Kosma, Veli-Matti; Kristensen, Vessela; Le Marchand, Loic; Lee, Eunjung; Li, Jingmei; Lindblom, Annika; Luben, Robert; Lubinski, Jan; Malone, Kathi E; Mannermaa, Arto; Margolin, Sara; Marme, Frederik; McLean, Catriona; Meijers-Heijboer, Hanne; Meindl, Alfons; Neuhausen, Susan L; Nevanlinna, Heli; Neven, Patrick; Olson, Janet E; Perez, Jose I A; Perkins, Barbara; Peterlongo, Paolo; Phillips, Kelly-Anne; Pylkäs, Katri; Rudolph, Anja; Santella, Regina; Sawyer, Elinor J; Schmutzler, Rita K; Seynaeve, Caroline; Shah, Mitul; Shrubsole, Martha J; Southey, Melissa C; Swerdlow, Anthony J; Toland, Amanda E; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Ursin, Giske; Van Der Luijt, Rob B; Verhoef, Senno; Whittemore, Alice S; Winqvist, Robert; Zhao, Hui; Zhao, Shilin; Hall, Per; Simard, Jacques; Kraft, Peter; Pharoah, Paul; Hunter, David; Easton, Douglas F; Zheng, Wei
2016-08-01
Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 × 10-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 × 10-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 × 10-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 × 10-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p < 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.
Guo, Yan; Warren Andersen, Shaneda; Shu, Xiao-Ou; Michailidou, Kyriaki; Bolla, Manjeet K.; Wang, Qin; Garcia-Closas, Montserrat; Milne, Roger L.; Schmidt, Marjanka K.; Chang-Claude, Jenny; Dunning, Allison; Bojesen, Stig E.; Ahsan, Habibul; Aittomäki, Kristiina; Andrulis, Irene L.; Anton-Culver, Hoda; Beckmann, Matthias W.; Beeghly-Fadiel, Alicia; Benitez, Javier; Bogdanova, Natalia V.; Bonanni, Bernardo; Børresen-Dale, Anne-Lise; Brand, Judith; Brauch, Hiltrud; Brenner, Hermann; Brüning, Thomas; Burwinkel, Barbara; Casey, Graham; Chenevix-Trench, Georgia; Couch, Fergus J.; Cross, Simon S.; Czene, Kamila; Dörk, Thilo; Dumont, Martine; Fasching, Peter A.; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fostira, Florentia; Gammon, Marilie; Giles, Graham G.; Guénel, Pascal; Haiman, Christopher A.; Hamann, Ute; Hooning, Maartje J.; Hopper, John L.; Jakubowska, Anna; Jasmine, Farzana; Jenkins, Mark; John, Esther M.; Johnson, Nichola; Jones, Michael E.; Kabisch, Maria; Knight, Julia A.; Koppert, Linetta B.; Kosma, Veli-Matti; Kristensen, Vessela; Le Marchand, Loic; Lee, Eunjung; Li, Jingmei; Lindblom, Annika; Lubinski, Jan; Malone, Kathi E.; Mannermaa, Arto; Margolin, Sara; McLean, Catriona; Meindl, Alfons; Neuhausen, Susan L.; Nevanlinna, Heli; Neven, Patrick; Olson, Janet E.; Perez, Jose I. A.; Perkins, Barbara; Phillips, Kelly-Anne; Pylkäs, Katri; Rudolph, Anja; Santella, Regina; Sawyer, Elinor J.; Schmutzler, Rita K.; Seynaeve, Caroline; Shah, Mitul; Shrubsole, Martha J.; Southey, Melissa C.; Swerdlow, Anthony J.; Toland, Amanda E.; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Ursin, Giske; Van Der Luijt, Rob B.; Verhoef, Senno; Whittemore, Alice S.; Winqvist, Robert; Zhao, Hui; Zhao, Shilin; Hall, Per; Simard, Jacques; Kraft, Peter; Hunter, David; Easton, Douglas F.; Zheng, Wei
2016-01-01
Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. Results In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56–0.75, p = 3.32 × 10−10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31–0.62, p = 9.91 × 10−8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46–0.71, p = 1.88 × 10−8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60–0.84, p = 1.64 × 10−7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p < 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. Conclusions BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer. PMID:27551723
Heymsfield, S. B.; Peterson, C. M.; Thomas, D. M.; Heo, M.; Schuna, J. M.
2016-01-01
Summary Body mass index (BMI) is now the most widely used measure of adiposity on a global scale. Nevertheless, intense discussion centers on the appropriateness of BMI as a phenotypic marker of adiposity across populations differing in race and ethnicity. BMI-adiposity relations appear to vary significantly across race/ethnic groups, but a collective critical analysis of these effects establishing their magnitude and underlying body shape/composition basis is lacking. Accordingly, we systematically review the magnitude of these race-ethnic differences across non-Hispanic (NH) white, NH black and Mexican American adults, their anatomic body composition basis and potential biologically linked mechanisms, using both earlier publications and new analyses from the US National Health and Nutrition Examination Survey. Our collective observations provide a new framework for critically evaluating the quantitative relations between BMI and adiposity across groups differing in race and ethnicity; reveal new insights into BMI as a measure of adiposity across the adult age-span; identify knowledge gaps that can form the basis of future research and create a quantitative foundation for developing BMI-related public health recommendations. PMID:26663309
The impact of inflammation on the obesity paradox in coronary heart disease.
De Schutter, A; Kachur, S; Lavie, C J; Boddepalli, R S; Patel, D A; Milani, R V
2016-11-01
Despite the well-known adverse effects of obesity on almost all aspects of coronary heart disease, many studies of coronary heart disease cohorts have demonstrated an inverse relationship between obesity, as defined by body mass index (BMI), and subsequent prognosis: the 'obesity paradox'. The etiology of this and the potential role of inflammation in this process remain unknown. We studied 519 patients with coronary heart disease before and after cardiac rehabilitation, dividing them into groups based on C-reactive protein ((CRP)⩾3 mg l -1 and CRP<3 mg l -1 after cardiac rehabilitation). BMI was calculated and body fat was measured using the skin-fold method. Lean mass index (LMI) was calculated as (1-%body fat) × BMI. The population was divided according to age- and gender-adjusted categories based on LMI and body fat and analyzed by total mortality over >3-year follow-up by National Death Index in both CRP groups. During >3-year follow-up, all-cause mortality was higher in the high inflammation and in the low BMI group. In proportional hazard analysis, even after adjusting for ejection fraction and peak O 2 consumption, higher BMI was associated with lower mortality in the entire population (hazard ratio (HR) 0.38; confidence interval 0.15-0.97) and a trend to lower mortality in both subgroups (HR 0.45 in low CRP, P=0.24 vs HR 0.32, P=0.06 in high CRP). High body fat, however, was associated with significantly lower mortality in the high CRP group (HR 0.22; P=0.03) but not in the low CRP group (HR 0.73; P=0.64). Conversely, high LMI was associated with markedly lower mortality in the low CRP group (HR 0.04; P=0.04). The obesity paradox has multiple underlying etiologies. Body composition has a different role in different populations with an obesity paradox by BMI. Especially in the subpopulation with persistently high CRP levels, body fat seems protective.
Lv, Yue-Bin; Liu, Simin; Yin, Zhao-Xue; Gao, Xiang; Kraus, Virginia Byers; Mao, Chen; Yuan, Jin-Qiu; Zhang, Juan; Luo, Jie-Si; Chen, Hua-Shuai; Zeng, Yi; Shi, Xiao-Ming
2018-05-25
Current international and national guidelines for body mass index (BMI) and waist circumference (WC) have been recommended to all adults. However, whether recommendations applied to the oldest old (aged 80+) is poorly known. The study objective was to investigate the relation of BMI and WC with 3-year all-cause mortality among the oldest old. A total of 4361 Chinese oldest old (mean age 91.8) participated in this community-based prospective cohort study. BMI and WC were measured at baseline in 2011 and were used as continuous variables and as categorized variables by recommendations or by tertiles. Adjusted, sex-stratified Cox models with penalized splines and Cox models were constructed to explore the association. Greater BMI and WC were linearly associated with lower mortality risk in both genders. The mortality risk was the lowest in overweight or obese participants (BMI ≥ 24.0) and was lower in participants with abdominal obesity. Compared to the upper tertile, those in the middle and lower tertile of BMI had a higher risk of mortality for men [hazard ratio (HR): 1.23 (1.02-1.48) and 1.53 (1.28-1.82)] and for women [HR: 1.21 (1.03-1.41) and 1.35 (1.15-1.58)]; it was also found in participants in the middle and lower tertile of WC for men [HR: 1.21 (1.01-1.46) and 1.41 (1.18-1.69)] and for women [HR: 1.35 (1.15-1.58) and 1.55 (1.32-1.81)] (all the P values for trend <.001). These findings were robust in further sensitivity analyses or when using propensity score matching, in subgroup analyses, or in octogenarians, nonagenarians, and centenarians. In Chinese oldest old, both higher BMI and higher WC predict better survival in both genders. The finding suggests optimal BMI and WC may be sensitive to age, thus, the current recommendations for the oldest old may need to be revisited. Copyright © 2018 AMDA – The Society for Post-Acute and Long-Term Care Medicine. All rights reserved.
Telford, R D; Cunningham, R B; Abhayaratna, W P
2014-12-01
The index of body mass related to stature, (body mass index, BMI, kgm(-2) ), is widely used as a proxy for percent body fat (%BF) in cross-sectional and longitudinal investigations. BMI does not distinguish between lean and fat mass and in children, the cross-sectional relationship between %BF and BMI changes with age and sex. While BMI increases linearly with age from age 8 to 12 years in both boys and girls, %BF plateaus off between 10 and 12 years. Repeated measures in children show a systematic decrease in %BF for any given BMI from age 8 to 10 to 12 years. Because changes in BMI misrepresent changes in %BF, its use as a proxy of %BF should be avoided in longitudinal studies in this age group. Body mass index (BMI, kgm(-2) ) is commonly used as an indicator of pediatric adiposity, but with its inability to distinguish changes in lean and fat mass, its use in longitudinal studies of children requires careful consideration. To investigate the suitability of BMI as a surrogate of percent body fat (%BF) in pediatric longitudinal investigations. In this longitudinal study, healthy Australian children (256 girls and 278 boys) were measured at ages 8.0 (standard deviation 0.3), 10.0 and 12.0 years for height, weight and percent body fat (%BF) by dual-energy X-ray absorptiometry. The patterns of change in the means of %BF and BMI were different (P < 0.001). While mean BMI increased linearly from 8 to 12 years of age, %BF did not change between 10 and 12 years. Relationships between %BF and BMI in boys and girls were curvilinear and varied with age (P < 0.001) and gender (P < 0.001); any given BMI corresponding with a lower %BF as a child became older. Considering the divergence of temporal patterns of %BF and BMI between 10 and 12 years of age, employment of BMI as a proxy for %BF in absolute or age and sex standardized forms in pediatric longitudinal investigations is problematical. © 2013 The Authors. Pediatric Obesity © 2013 International Association for the Study of Obesity.
Kim, Jun-Hyun; Lee, Chanam; Olvara, Norma E; Ellis, Christopher D
2014-11-01
Childhood obesity and its comorbidities have become major public health challenges in the US. While previous studies have investigated the roles of land uses and transportation infrastructure on obesity, limited research has examined the influence of landscape spatial patterns. The purpose of this study was to examine the association between landscape spatial patterns and obesity in Hispanic children. Participants included 61 fourth- and fifth-grade Hispanic children from inner-city neighborhoods in Houston, TX. BMI z-scores were computed based on objectively-measured height and weight from each child. Parental and child surveys provided sociodemographic and physical activity data. Landscape indices were used to measure the quality of landscape spatial patterns surrounding each child's home by utilizing Geographic Information Systems and remote sensing analyses using aerial photo images. After controlling for sociodemographic factors, in the half-mile airline buffer, more tree patches and well-connected landscape patterns were negatively correlated with their BMI z-scores. Furthermore, larger sizes of urban forests and tree patches were negatively associated with children's BMI z-scores in the half-mile network buffer assessment. This study suggests that urban greenery requires further attention in studies aimed at identifying environmental features that reduce childhood obesity.
Baltic, Ryan D; Weier, Rory C; Katz, Mira L; Kennedy, Stephenie K; Lengerich, Eugene J; Lesko, Samuel M; Reese, David; Roberto, Karen A; Schoenberg, Nancy E; Young, Gregory S; Dignan, Mark B; Paskett, Electra D
2015-09-01
Increased prevalence of overweight and obesity among Appalachian residents may contribute to increased cancer rates in this region. This manuscript describes the design, components, and participant baseline characteristics of a faith-based study to decrease overweight and obesity among Appalachian residents. A group randomized study design was used to assign 13 churches to an intervention to reduce overweight and obesity (Walk by Faith) and 15 churches to a cancer screening intervention (Ribbons of Faith). Church members with a body mass index (BMI) ?25 were recruited from these churches in Appalachian counties in five states to participate in the study. A standard protocol was used to measure participant characteristics at baseline. The same protocol will be followed to obtain measurements after completion of the active intervention phase (12months) and the sustainability phase (24months). Primary outcome is change in BMI from baseline to 12months. Secondary outcomes include changes in blood pressure, waist-to-hip ratio, and fruit and vegetable consumption, as well as intervention sustainability. Church members (n=664) from 28 churches enrolled in the study. At baseline 64.3% of the participants were obese (BMI?30), less than half (41.6%) reported regular exercise, and 85.5% reported consuming less than 5 servings of fruits and vegetables per day. Church members recruited to participate in a faith-based study across the Appalachian region reported high rates of unhealthy behaviors. We have demonstrated the feasibility of developing and recruiting participants to a faith-based intervention aimed at improving diet and increasing exercise among underserved populations. Copyright © 2015. Published by Elsevier Inc.
Baltic, Ryan D.; Weier, Rory C.; Katz, Mira L.; Kennedy, Stephenie K.; Lengerich, Eugene J.; Lesko, Samuel M.; Reese, David; Roberto, Karen A.; Schoenberg, Nancy E.; Young, Gregory S.; Dignan, Mark B.; Paskett, Electra D.
2017-01-01
Background Increased prevalence of overweight and obesity among Appalachian residents may contribute to increased cancer rates in this region. This manuscript describes the design, components, and participant baseline characteristics of a faith-based study to decrease overweight and obesity among Appalachian residents. Methods A group randomized study design was used to assign 13 churches to an intervention to reduce overweight and obesity (Walk by Faith) and 15 churches to a cancer screening intervention (Ribbons of Faith). Church members with a body mass index (BMI) ≥25 were recruited from these churches in Appalachian counties in five states to participate in the study. A standard protocol was used to measure participant characteristics at baseline. The same protocol will be followed to obtain measurements after completion of the active intervention phase (12 months) and the sustainability phase (24 months). Primary outcome is change in BMI from baseline to 12 months. Secondary outcomes include changes in blood pressure, waist-to-hip ratio, and fruit and vegetable consumption, as well as intervention sustainability. Results Church members (n = 664) from 28 churches enrolled in the study. At baseline 64.3% of the participants were obese (BMI ≥30), less than half (41.6%) reported regular exercise, and 85.5% reported consuming less than 5 servings of fruits and vegetables per day. Conclusions Church members recruited to participate in a faith-based study across the Appalachian region reported high rates of unhealthy behaviors. We have demonstrated the feasibility of developing and recruiting participants to a faith-based intervention aimed at improving diet and increasing exercise among underserved populations. PMID:26115879
Clifton, Emma A D; Day, Felix R; De Lucia Rolfe, Emanuella; Forouhi, Nita G; Brage, Soren; Griffin, Simon J; Wareham, Nicholas J; Ong, Ken K
2016-01-01
Background/Objective Body mass index (BMI) is a surrogate measure of adiposity but does not distinguish fat from lean or bone mass. The genetic determinants of BMI are thought to predominantly influence adiposity but this has not been confirmed. Here we characterise the association between BMI-related genetic variants and body composition in adults. Subjects/Methods Among 9667 adults aged 29-64 years from the Fenland study, a genetic risk score for BMI (BMI-GRS) was calculated for each individual as the weighted sum of BMI-increasing alleles across 96 reported BMI-related variants. Associations between the BMI-GRS and body composition, estimated by DXA scans, were examined using age-adjusted linear regression models, separately by sex. Results The BMI-GRS was positively associated with all fat, lean and bone variables. Across body regions, associations of the greatest magnitude were observed for adiposity variables e.g. for each standard deviation (SD) increase in BMI-GRS predicted BMI, we observed a 0.90 SD (95% CI: 0.71, 1.09) increase in total fat mass for men (P=3.75×10−21) and a 0.96 SD (95% CI: 0.77, 1.16) increase for women (P=6.12×10−22). Associations of intermediate magnitude were observed with lean variables e.g. total lean mass: men: 0.68 SD (95% CI: 0.49, 0.86) (P=1.91×10−12); women: 0.85 SD (95% CI: 0.65, 1.04) (P=2.66×10−17) and of a lower magnitude with bone variables e.g. total bone mass: men: 0.39 SD (95% CI: 0.20, 0.58) (P=5.69×10−5); women: 0.45 SD (95% CI: 0.26, 0.65) (P=3.96×10−6). Nominally significant associations with BMI were observed for 28 SNPs. All 28 were positively associated with fat mass and 13 showed adipose-specific effects. Conclusion In adults, genetic susceptibility to elevated BMI influences adiposity more than lean or bone mass. This mirrors the association between BMI and body composition. The BMI-GRS can be used to model the effects of measured BMI and adiposity on health and other outcomes. PMID:28096530
Gómez-Ambrosi, Javier; Silva, Camilo; Galofré, Juan C; Escalada, Javier; Santos, Silvia; Gil, María J; Valentí, Victor; Rotellar, Fernando; Ramírez, Beatriz; Salvador, Javier; Frühbeck, Gema
2011-07-01
Obesity is the major risk factor for the development of prediabetes and type 2 diabetes. BMI is widely used as a surrogate measure of obesity, but underestimates the prevalence of obesity, defined as an excess of body fat. We assessed the presence of impaired glucose tolerance or impaired fasting glucose (both considered together as prediabetes) or type 2 diabetes in relation to the criteria used for the diagnosis of obesity using BMI as compared to body fat percentage (BF%). We performed a cross-sectional study including 4,828 (587 lean, 1,320 overweight, and 2,921 obese classified according to BMI) white subjects (66% females), aged 18-80 years. BMI, BF% determined by air-displacement plethysmography (ADP) and conventional blood markers of glucose metabolism and lipid profile were measured. We found a higher than expected number of subjects with prediabetes or type 2 diabetes in the obese category according to BF% when the sample was globally analyzed (P < 0.0001) and in the lean BMI-classified subjects (P < 0.0001), but not in the overweight or obese-classified individuals. Importantly, BF% was significantly higher in lean (by BMI) women with prediabetes or type 2 diabetes as compared to those with normoglycemia (NG) (35.5 ± 7.0 vs. 30.3 ± 7.7%, P < 0.0001), whereas no differences were observed for BMI. Similarly, increased BF% was found in lean BMI-classified men with prediabetes or type 2 diabetes (25.2 ± 9.0 vs. 19.9 ± 8.0%, P = 0.008), exhibiting no differences in BMI or waist circumference. In conclusion, assessing BF% may help to diagnose disturbed glucose tolerance beyond information provided by BMI and waist circumference in particular in male subjects with BMI <25 kg/m(2) and over the age of 40.
Influence of genetic variants associated with body mass index on eating behavior in childhood
Monnereau, Claire; Jansen, Pauline W; Tiemeier, Henning; Jaddoe, Vincent WV; Felix, Janine F
2017-01-01
Objective Childhood eating behaviors are associated with body mass index (BMI). Recent genome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with adult and childhood BMI. We hypothesized that these SNPs also influence eating behavior. Methods In a population-based prospective cohort study among 3,179 children (mean age (standard deviation): 4.0 (0.1) years), we tested two weighted genetic risk scores, based on 15 childhood and 97 adult BMI SNPs, and ten individual appetite and/or satiety related SNPs for association with food fussiness, food responsiveness, enjoyment of food, satiety responsiveness, slowness in eating. Results The 15 SNP-based childhood BMI genetic risk score was not associated with the eating behavior subscales. The 97 SNP-based adult BMI genetic risk score was nominally associated with satiety responsiveness (β: -0.007 standard deviation, 95% confidence interval (CI) -0.013, 0.000). Of the ten individual SNPs, rs11030104 in BDNF and rs10733682 in LMX1B were nominally associated with satiety responsiveness (β: -0.057 standard deviation, 95% CI -0.112, -0.002). Conclusion Our findings do not strongly support the hypothesis that BMI associated SNPs also influence eating behavior at this age. A potential role for BMI SNPs in satiety responsiveness during childhood was observed, however, no associations with the other eating behavior subscales. PMID:28245097
USDA-ARS?s Scientific Manuscript database
To evaluate the percentage of body fat (%BF)-BMI relationship, identify %BF levels corresponding to adult BMI cut points, and examine %BF-BMI agreement in a diverse Hispanic/Latino population. %BF by bioelectrical impedance analysis was corrected against %BF by 18O dilution in 434 participants of th...
Serrano García, Cristóbal; Barrera, Francisco; Labbé, Pilar; Liberona, Jessica; Arrese, Marco; Irarrázabal, Pablo; Tejos, Cristián; Uribe, Sergio
2012-12-01
Visceral fat accumulation is associated with the development of metabolic diseases. Anthropometry is one of the methods used to quantify it. to evaluate the relationship between visceral adipose tissue volume (VAT), measured with magnetic resonance imaging (MRI), and anthropometric indexes, such as body mass index (BMI) and waist circumference (WC), in type 2 diabetic patients (DM2). Twenty four type 2 diabetic patients aged 55 to 78 years (15 females) and weighting 61.5 to 97 kg, were included. The patients underwent MRI examination on a Philips Intera® 1.5T MR scanner. The MRI protocol included a spectral excitation sequence centered at the fat peak. The field of view included from L4-L5 to the diaphragmatic border. VAT was measured using the software Image J®. Weight, height, BMI, WC and body fat percentage (BF%), derived from the measurement of four skinfolds with the equation of Durnin and Womersley, were also measured. The association between MRIVAT measurement and anthropometry was evaluated using the Pearson's correlation coefficient. Mean VAT was 2478 ± 758 ml, mean BMI29.5 ± 4.7 kg/m², and mean WC was 100 ± 9.7 cm. There was a poor correlation between VAT, BMI (r = 0.18) and WC (r = 0.56). BMI and WC are inaccurate predictors of VAT volume in type 2 diabetic patients.
Kurniawan, Liong Boy; Bahrun, Uleng; Hatta, Mochammad; Arif, Mansyur
2018-05-01
The incidence of obesity which leads to insulin resistance (IR) and metabolic disorder is increasing in developing countries, including Indonesia. Male adults have a higher risk of abdominal obesity than females. This is associated with cardiometabolic disorders. Several anthropometric measurements have been proposed to predict IR. The aim of this study was to investigate whether body mass, body mass index (BMI), waist circumference (WC), body fat percentage (BF) or visceral fat level (VF) could become a better predictor of IR in healthy young male adults. A total of 140 healthy young male adults ranging from 18⁻25 years were recruited in the study. Insulin resistance was measured by calculating their Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Subjects with a HOMA-IR value ≥75th percentile, with cut off 3.75, were defined as IR. Anthropometric measurements including body weight, BMI, and WC were performed, whereas BF and VC were measured using bioelectrical impedance analysis (BIA). IR had a strong correlation with body weight, BMI, WC, BF, and VF. In the area under the curve of body mass, BF and VF were slightly greater than WC and BMI. Anthropometric measurements correlated strongly with IR but body weight, BF, VF had a stronger correlation than WC and BMI in healthy young male adults.
Self-control mediates the relationship between time perspective and BMI.
Price, Menna; Higgs, Suzanne; Lee, Michelle
2017-01-01
Trait future time perspective measures the extent to which behaviour is dominated by a striving for future goals and rewards. Trait present time perspective measures orientation towards immediate pleasure. Previous research has explored the relationship between future and present time perspective and BMI with mixed findings. In addition, the psychological mechanism underlying this relationship is unclear. Self-control is a likely candidate, as it has been related to both BMI and time perspective, but the relationship between all of these concepts has not been examined in a single study. Therefore, the aim of this study was to examine if trait self-control mediates the relationship between time perspective (future and present) and BMI. Self-report time perspective (ZTPI), self-control (SCS) and height/weight data were collected using an online survey from a mixed student and community sample (N = 218) with wide ranging age (mean 29, SD 11, range 18-73 years) and BMI (mean 24, SD 4, range 15-43). The results of a structural equation model including both facets of time perspective suggested that the traits are related yet distinct measures that independently predict BMI through changes in self-control. Bootstrap mediation analysis showed that self-control mediated the relationship between both future time perspective (95% CI, -0.10 to -0.02) and present time perspective (95% CI, 0.03 to 0.17), and BMI in opposite directions. Participants with higher future time perspective scores (higher present time perspective scores) had higher (lower) self-control, which predicted lower (higher) BMI. These results are consistent with previous research suggesting an important role for time perspective in health outcomes. Self-control likely mediates the relationship between temporal perspectives and BMI, suggesting that time perspective may be a target for individualised interventions. Copyright © 2016 Elsevier Ltd. All rights reserved.
Percent body fat and prediction of surgical site infection.
Waisbren, Emily; Rosen, Heather; Bader, Angela M; Lipsitz, Stuart R; Rogers, Selwyn O; Eriksson, Elof
2010-04-01
Obesity is a risk factor for surgical site infection (SSI) after elective surgery. Body mass index (BMI) is commonly used to define obesity (BMI >or=30 kg/m(2)), but percent body fat (%BF) (obesity is >25%BF [men]; >31%BF [women]) might better predict SSI risk because BMI might not reflect body composition. This prospective study included 591 elective surgical patients 18 to 64 years of age from September 2008 through February 2009. Height and weight were measured for BMI. %BF was calculated by bioelectrical impedance analysis. Preoperative, operative, and 30-day postoperative data were captured through interviews and chart review. Our primary, predetermined outcomes measurement was SSI as defined by the Center for Disease Control and Prevention. Mean %BF and BMI were 34+/-10 and 29+/-8, respectively. Four-hundred and nine (69%) patients were obese by %BF; 225 (38%) were obese by BMI. SSI developed in 71 (12%) patients. With BMI defining obesity, SSI incidence was 12.3% in nonobese and 11.6% in obese patients (p = 0.8); Using %BF, SSI occurred in 5.0% of nonobese and 15.2% of obese patients (p < 0.001). In univariate analyses, significant predictors of SSI were %BF (p = 0.005), obesity by %BF (p < 0.001), smoking (p = 0.002), National Nosocomial Infections Surveillance score (p < 0.001), postoperative hyperglycemia (p = 0.03), and anemia (p = 0.02). In multivariable analysis, obese patients by %BF had a 5-fold higher risk for SSI than nonobese patients (odds ratio = 5.3; 95% CI, 1.2-23.1; p = 0.03). Linear regression was used to show that there is a positive, nonlinear relationship between %BF and BMI. Obesity, defined by %BF, is associated with a 5-fold increased SSI risk. This risk increases as %BF increases. %BF is a more sensitive and precise measurement of SSI risk than BMI. Additional studies are required to better understand this relationship. Copyright (c) 2010 American College of Surgeons. Published by Elsevier Inc. All rights reserved.
Daly, Patricia; Pace, Thaddeus; Berg, Judith; Menon, Usha; Szalacha, Laura A
2016-10-01
While pediatric anti-obesity lifestyle interventions have received considerable attention, few show sustained impact on body mass index (BMI). Using the Information-Motivation-Behavioral Skills Theory as a framework, we examined the effects of a satiety-focused mindful eating intervention (MEI) on BMI, weight and mindful awareness. Utilizing a two-group, repeated measures design, 37 adolescent females with a BMI >90th percentile, recruited from a public high school in a Latino community in the Southwestern United States, were randomized 2:1, one third to the group receiving a 6-week MEI and two thirds to the comparison group (CG) receiving the usual care (nutrition and exercise information). During six weekly 90-min after school MEI group sessions, the behavioral skills of slow intentional eating were practiced with foci on satiety cues and triggers to overeat. Feasibility and acceptability were measured as participant retention (goal ≥55%) and evaluative comments from those in the MEI group, respectively. BMI and mindful awareness were measured on site at baseline, immediately post intervention, and at 4-week follow-up (week 10). Fifty-seven and 65% of those in the MEI and CG were retained throughout the study, respectively. MEI participants showed significantly lowered BMI compared with CG participants, whose weight increased (p<0.001). At six weeks, the MEI group BMI decreased by 1.1kg/m(2) (BMI continued to decline to 1.4kg/m(2) by week 10); while CG BMI increased by 0.7kg/m(2) (consistent with BMI >90th percentile standard growth projections). Initial and sustained decline of BMI in the MEI group supports further study of this theory-guided approach, and the value of practicing satiety-focused mindful eating behavioral skills to facilitate health behavior change. Copyright © 2016 Elsevier Ltd. All rights reserved.
Physical Activity among Community College Students
ERIC Educational Resources Information Center
Young, Sarah J.; Sturts, Jill R.; Ross, Craig M.
2015-01-01
This exploratory study provides insight into the perceived physical activity levels of students attending a Midwestern 2-year community college. Over 60% of respondents were classified as overweight or obese based on a BMI measurement. The majority of respondents were not participating regularly in physical activity to gain any health benefits,…
Calcaterra, Valeria; Cena, Hellas; de Silvestri, Annalisa; Albertini, Riccardo; De Amici, Mara; Valenza, Mario; Pelizzo, Gloria
2017-01-01
Allostatic load (AL) is the cumulative physiological wear and tear that results from repeated efforts to adapt to stressors over time. The life stress response is modified by nutritional status. We estimated AL scores among neurologically impaired (NI) children; the association with malnutrition was also evaluated. Forty-one patients with severe disabilities were included. Data based on 15 biomarkers were used to create the AL score. A dichotomous outcome of high AL was defined for those who had ≥6 dysregulated components. Body mass index (BMI)-standard deviation score (SDS) <-2 or SDS ≥2 and biochemical markers (≥4) defined malnutrition. High AL was noted in 17/41 of the whole sample (41.47%). Malnutrition occurred in 36.6% of the subjects. A significant correlation between high AL and malnutrition was observed (p = 0.01; ar ea under the receiver operating characteristic curve, 0.7457). High AL subjects had a significantly higher BMI (p = 0.009) and lower BMI-SDS (p = 0.003) than low AL subjects. AL score correlated with fat mass (p ≤ 0.01) and negatively correlated with fat-free mass (p ≤ 0.02). In NI children, high AL was associated with malnutrition. Body composition is a better indicator than BMI of allostatic adjustments. AL estimation should be considered a measure of health risk and be used to promote quality of life in at-risk disabled populations. © 2017 S. Karger AG, Basel.
Freedman, David S; Butte, Nancy F; Taveras, Elsie M; Lundeen, Elizabeth A; Blanck, Heidi M; Goodman, Alyson B; Ogden, Cynthia L
2017-01-01
Objective Although the CDC growth charts are widely used, BMIz is known to be uninformative above the 97th percentile. We compared the relations of BMIz and other BMI metrics (%BMIp95, percent of 95th percentile, and ΔBMIp95, BMI minus 95th percentile) to circumferences, skinfolds and fat mass. We were particularly interested in the differences among children with severe obesity (%BMIp95 ≥ 120). Methods We used data from 30,003 2- to 19-year-olds who were examined from 1999-2000 through 2013-14 in NHANES. Results The theoretical maximum BMIz based on the growth charts varied by more than 3-fold across ages. The BMI metrics were strongly intercorrelated, but BMIz was less strongly related to the adiposity measures than were ΔBMIp95 and %BMIp95. Among children with severe obesity, circumferences and triceps skinfold showed almost no association with BMIz (r ≤ 0.10), whereas associations with %BMIp95 and ΔBMIp95 ranged from r=0.32 to 0.79. Corresponding associations with fat mass ÷ height2 ranged from r=0.40 (BMIz) to r=0.82 (%BMIp95) among 8- to 19-year-olds. Conclusions Among children with severe obesity, BMIz is only weakly associated with other measures of body fatness. Very high BMIs should be expressed relative to the CDC 95th percentile, particularly in studies that evaluate obesity interventions. PMID:28245098
Parental obesity moderates the relationship between childhood appetitive traits and weight.
Fuemmeler, Bernard F; Lovelady, Cheryl A; Zucker, Nancy L; Østbye, Truls
2013-04-01
In this study, the independent and combined associations between childhood appetitive traits and parental obesity on weight gain from 0 to 24 months and body mass index (BMI) z-score at 24 months in a diverse community-based sample of dual parent families (n = 213) were examined. Participants were mothers who had recently completed a randomized trial of weight loss for overweight/obese postpartum women. As measures of childhood appetitive traits, mothers completed subscales of the Children's Eating Behavior Questionnaire, including Desire to Drink (DD), Enjoyment of Food (EF), and Satiety Responsiveness (SR), and a 24-h dietary recall for their child. Heights and weights were measured for all children and mothers and self-reported for mothers' partners. The relationship between children's appetitive traits and parental obesity on toddler weight gain and BMI z-score were evaluated using multivariate linear regression models, controlling for a number of potential confounders. Having two obese parents was related to greater weight gain from birth to 24 months independent of childhood appetitive traits, and although significant associations were found between appetitive traits (DD and SR) and child BMI z-score at 24 months, these associations were observed only among children who had two obese parents. When both parents were obese, increasing DD and decreasing SR were associated with a higher BMI z-score. The results highlight the importance of considering familial risk factors when examining the relationship between childhood appetitive traits on childhood obesity. Copyright © 2012 The Obesity Society.
The School Food Environment and Student BMI and Food Consumption: 2004 to 2007 National Data
Terry-McElrath, Yvonne M.; O’Malley, Patrick M.; Delva, Jorge; Johnston, Lloyd D.
2009-01-01
Purpose This study identifies trends in the availability of various food choices in United States’ middle and high schools from 2004–2007, and examines the potential associations between such food availability and students’ self-reported eating habits and BMI-related outcomes. Methods Data are based on nationally representative samples of 78,442 students in 684 secondary schools surveyed from 2004 to 2007 as part of the Youth, Education, and Society (YES) study and the Monitoring the Future (MTF) study. In the YES study, school administrators and food service managers completed self-administered questionnaires on their school’s food environment. In the MTF study, students in the same schools completed self-administered questionnaires, providing data used to construct BMI and food consumption measures. Results Overall, there was a decrease in the availability of regular sugar/fat food items in both middle and high schools, and some indication of an increase high school availability of reduced fat food items through school lunch or a la carte. Some minimal evidence was found for relationships between the school food environment and student BMI-related outcomes and food consumption measures. Conclusions United States secondary schools are making progress in the types of foods offered to students, with food items of lower nutritional value becoming less prevalent in recent years. Continued monitoring of food environment trends may help clarify if and how such factors relate to youth health outcomes. PMID:19699436
Ahmad, Norfazilah; Adam, Samia Ibrahim Mohamed; Nawi, Azmawati Mohammed; Hassan, Mohd Rohaizat; Ghazi, Hasanain Faisal
2016-01-01
Waist circumference (WC) is an accurate and simple measure of abdominal obesity as compared to waist-hip ratio (WHR). The aim of this study was to determine the correlation between body mass index (BMI) with WC and WHR and suggest cutoff points for WC among Rural Malaysian adults. A cross-sectional study was conducted among 669 respondents from three villages in Tanjung Karang, located in the district of Kuala Selangor. Data collection was carried out by guided questionnaires and anthropometric measures. The prevalence of abdominal obesity for BMI was almost similar for both gender across Caucasian and Asian BMI cutoff points. Based on Caucasian cutoff points, the prevalence of abdominal obesity for WC was 23.8% (male) and 66.4% (female) while for WHR was 6.2% (male) and 54.2% (female). Asian cutoff points gave higher prevalence of abdominal obesity compared to that of WC among male respondents and WHR for both genders. WC showed strong and positive correlation with BMI compared to WHR (in male WC r = 0.78, WHR r = 0.24 and in female WC r = 0.72, WHR r = 0.19; P < 0.001). Receiver operating characteristic curve analysis suggested WC cutoff points of 92.5 cm in men and 85.5 cm in women is the optimal number for detection of abdominal obesity. WC is the best indicator as compared with WHR for abdominal obesity for Malaysian adults.
Homuth, Georg; Wahl, Simone; Müller, Christian; Schurmann, Claudia; Mäder, Ulrike; Blankenberg, Stefan; Carstensen, Maren; Dörr, Marcus; Endlich, Karlhans; Englbrecht, Christian; Felix, Stephan B; Gieger, Christian; Grallert, Harald; Herder, Christian; Illig, Thomas; Kruppa, Jochen; Marzi, Carola S; Mayerle, Julia; Meitinger, Thomas; Metspalu, Andres; Nauck, Matthias; Peters, Annette; Rathmann, Wolfgang; Reinmaa, Eva; Rettig, Rainer; Roden, Michael; Schillert, Arne; Schramm, Katharina; Steil, Leif; Strauch, Konstantin; Teumer, Alexander; Völzke, Henry; Wallaschofski, Henri; Wild, Philipp S; Ziegler, Andreas; Völker, Uwe; Prokisch, Holger; Zeller, Tanja
2015-10-15
Obesity, defined as pathologically increased body mass index (BMI), is strongly related to an increased risk for numerous common cardiovascular and metabolic diseases. It is particularly associated with insulin resistance, hyperglycemia, and systemic oxidative stress and represents the most important risk factor for type 2 diabetes (T2D). However, the pathophysiological mechanisms underlying these associations are still not completely understood. Therefore, in order to identify potentially disease-relevant BMI-associated gene expression signatures, a transcriptome-wide association study (TWAS) on BMI was performed. Whole-blood mRNA levels determined by array-based transcriptional profiling were correlated with BMI in two large independent population-based cohort studies (KORA F4 and SHIP-TREND) comprising a total of 1977 individuals. Extensive alterations of the whole-blood transcriptome were associated with BMI: More than 3500 transcripts exhibited significant positive or negative BMI-correlation. Three major whole-blood gene expression signatures associated with increased BMI were identified. The three signatures suggested: i) a ratio shift from mature erythrocytes towards reticulocytes, ii) decreased expression of several genes essentially involved in the transmission and amplification of the insulin signal, and iii) reduced expression of several key genes involved in the defence against reactive oxygen species (ROS). Whereas the first signature confirms published results, the other two provide possible mechanistic explanations for well-known epidemiological findings under conditions of increased BMI, namely attenuated insulin signaling and increased oxidative stress. The putatively causative BMI-dependent down-regulation of the expression of numerous genes on the mRNA level represents a novel finding. BMI-associated negative transcriptional regulation of insulin signaling and oxidative stress management provide new insights into the pathogenesis of metabolic syndrome and T2D.
Association between family divorce and children's BMI and meal patterns: the GENDAI Study.
Yannakoulia, Mary; Papanikolaou, Katerina; Hatzopoulou, Ioanna; Efstathiou, Eleftheria; Papoutsakis, Constantina; Dedoussis, George V
2008-06-01
The aim of this work was to explore the associations between family factors, including divorce, and children's overweight as well as eating and physical activity patterns in a population-based sample of healthy school-aged children. In this cross-sectional study, 1,138 children (53% girls; age: 11.2 +/- 0.7 years) from elementary schools in the Attica region participated. Their parents provided sociodemographic information, including their marital status. Overweight status classification was based on weight and height measurements and BMI evaluation. Children completed a physical activity checklist and a questionnaire on meal patterns and eating behaviors. The Eating Style score was calculated: the higher the score, the more frequent a child was engaged in less-structured feeding practices promoting food intake for reasons other than hunger. Analysis revealed significant association between family divorce and children's overweight: compared with children of married parents, those of divorced had significantly higher BMI levels (20.0 +/- 3.6 kg/m(2) vs. 21.3 +/- 3.4 kg/m(2), respectively, P = 0.007). Controlling for socioeconomic and physical activity factors, divorce remains a significant predictor of a higher BMI, along with older age, higher father's and mother's BMI, less children in the family, and more minutes of daily screen time. Children who had experienced a divorce in their family also reported higher Eating Style score, even after adjusting for potential confounders. In conclusion, in this sample of fifth and sixth graders, unfavorable family circumstances have been associated with children's overweight, as well as with aspects of their eating behavior, namely eating style in relation to conditions around food consumption and hunger, independent of other socioeconomic factors.
Goes, Vanessa Fernanda; Wazlawik, Elisabeth; D'Orsi, Eleonora; González-Chica, David Alejandro
2017-08-01
The relation between body weight status and depressive symptoms in the elderly differs according to age and country of origin. The goal of this study was to analyze the cross-sectional and longitudinal relationship between body mass index (BMI), waist circumference (WC) and depressive symptoms in the elderly. A population-based cohort study of 1,702 elderly individuals (70.6+8.0 years) in Southern Brazil evaluated in 2009/10 and 2013/14 was accessed. The body weight status was assessed using measured data of BMI and WC. The Geriatric Depression Scale (GDS-15) was used to determine depressive symptoms. Logistic regression analysis adjusted for sociodemographic and behavioral variables was performed. The prevalence of depressive symptoms in 2009/10 was 23.3% (95% CI 20.3-26.6) and the cumulative incidence in the 4-years period was 10.9% (95% CI 8.7-13.6). Elderly people with obesity class II-III and WC in the highest quartile had higher prevalence odds ratio of being depressed than individuals with normal weight or WC in the lower quartile (OR 2.34; 95% CI 1.42-3.87 and OR 1.73; 95% CI 1.13-2.65, respectively). Meanwhile, intermediary values of BMI and WC were associated with a lower prevalence. When evaluating the incidence of depressive symptoms, overweight individuals and those in the second quartile of WC had a lower risk (58% and 57%, respectively), but severely obese individuals had the same risk compared to those with normal BMI/WC. Severely obese individuals presented a similar incidence of depressive symptoms compared to those with normal BMI/WC, but higher prevalence. Intermediary values of body weight status decrease the risk of depressive symptoms.
A U-Shaped Relationship between Body Mass Index and Dysmenorrhea: A Longitudinal Study
Ju, Hong; Jones, Mark; Mishra, Gita D.
2015-01-01
Background Both obesity and dysmenorrhea are prevalent among women. Few population-based longitudinal studies investigate the association between body mass index (BMI) and dysmenorrhea yielding mixed results, especially for obesity. This study aims to investigate the long-term association between BMI and dysmenorrhea. Methods 9,688 women from a prospective population-based cohort study were followed for 13 years. Data were collected through self-reported questionnaires. The longitudinal association between dysmenorrhea and BMI or BMI change was investigated by logistic regression analysis using generalized estimating equations to account for the repeated measures. Results When the women were aged 22 to 27 years, approximately 11% were obese, 7% underweight, and 25% reported dysmenorrhea. Compared to women with a normal weight, significantly higher odds of reporting dysmenorrhea were detected for both women who were underweight (odds ratio (OR) 1.34, 95% confidence interval (CI) 1.15, 1.57) and obese (OR 1.22, 95% CI 1.11, 1.35). Compared to women who remained at normal weight or overweight over time, significant risk was detected for women who: remained underweight or obese (OR 1.33, 95% CI 1.20, 1.48), were underweight despite weight gain (OR 1.33, 95% CI 1.12, 1.58), became underweight (OR 1.28, 95% CI 1.02, 1.61). However the higher risk among obese women disappeared when they lost weight (OR 1.06, 95% CI 0.85, 1.32). Conclusions A U-shaped association was revealed between dysmenorrhea and BMI, revealing a higher risk of dysmenorrhea for both underweight and obese women. Maintaining a healthy weight over time may be important for women to have pain-free periods. PMID:26218569
A U-Shaped Relationship between Body Mass Index and Dysmenorrhea: A Longitudinal Study.
Ju, Hong; Jones, Mark; Mishra, Gita D
2015-01-01
Both obesity and dysmenorrhea are prevalent among women. Few population-based longitudinal studies investigate the association between body mass index (BMI) and dysmenorrhea yielding mixed results, especially for obesity. This study aims to investigate the long-term association between BMI and dysmenorrhea. 9,688 women from a prospective population-based cohort study were followed for 13 years. Data were collected through self-reported questionnaires. The longitudinal association between dysmenorrhea and BMI or BMI change was investigated by logistic regression analysis using generalized estimating equations to account for the repeated measures. When the women were aged 22 to 27 years, approximately 11% were obese, 7% underweight, and 25% reported dysmenorrhea. Compared to women with a normal weight, significantly higher odds of reporting dysmenorrhea were detected for both women who were underweight (odds ratio (OR) 1.34, 95% confidence interval (CI) 1.15, 1.57) and obese (OR 1.22, 95% CI 1.11, 1.35). Compared to women who remained at normal weight or overweight over time, significant risk was detected for women who: remained underweight or obese (OR 1.33, 95% CI 1.20, 1.48), were underweight despite weight gain (OR 1.33, 95% CI 1.12, 1.58), became underweight (OR 1.28, 95% CI 1.02, 1.61). However the higher risk among obese women disappeared when they lost weight (OR 1.06, 95% CI 0.85, 1.32). A U-shaped association was revealed between dysmenorrhea and BMI, revealing a higher risk of dysmenorrhea for both underweight and obese women. Maintaining a healthy weight over time may be important for women to have pain-free periods.
Carson, Valerie; Janssen, Ian
2012-10-01
There is evidence to suggest that excessive television viewing is an independent determinant of obesity in young people. However, the pathways between television viewing and obesity are not fully understood. Therefore, the purpose of this study was to examine whether the relationship between television and body mass index (BMI) is mediated by television snacking and junk food consumption. Results are based on 15,973 youth in grades 6-10 who participated in the Canadian 2009/2010 health behaviour in school-aged children survey (HBSC). Participants self-reported their weight and height and BMI z-scores were calculated based on World Health Organization growth standards. Participants reported the frequency of snacking while watching television and the frequency of eating junk food (sweets, soft drinks, baked goods, French fries, potato chips). Total hours per week of television were calculated. A contemporary multiple mediation analysis was used to examine associations. A modest positive relationship was observed between television viewing and BMI. The mean BMI z-score was 0.15 units higher in youth in the highest television viewing quartile by comparison with the youth in the lowest quartile. However, contrary to our hypothesis, television snacking and junk food consumption were not significant positive mediators of the television and BMI relationship. The pathways between television viewing and obesity are complicated and remain poorly understood. Future research using longitudinal or experimental designs, more precise measurement tools and formal mediation analyses is needed. This research should consider mediators related to both energy intake and expenditure. © 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of Obesity.
Lichtenauer, Michael; Wheatley, Sean D; Martyn-St James, Marrissa; Duncan, Michael J; Cobayashi, Fernanda; Berg, Gabriela; Musso, Carla; Graffigna, Mabel; Soutelo, Jimena; Bovet, Pascal; Kollias, Anastasios; Stergiou, George S; Grammatikos, Evangelos; Griffiths, Claire; Ingle, Lee; Jung, Christian
2018-04-12
To compare the ability of body mass index (BMI), waist circumference (WC) and waist to height ratio (WHtR) to estimate cardiovascular disease (CVD) risk levels in adolescents. A systematic review and meta-analysis was performed after a database search for relevant literature (Cochrane, Centre for Review and Dissemination, PubMed, British Nursing Index, CINAHL, BIOSIS citation index, ChildData, metaRegister). 117 records representing 96 studies with 994,595 participants were included in the systematic review, 14 of which (13 studies, n=14,610) were eligible for the meta-analysis. The results of the meta-analysis showed that BMI was a strong indicator of systolic blood pressure, diastolic blood pressure, triglycerides, high-density lipoprotein cholesterol and insulin; but not total cholesterol, low-density lipoprotein or glucose. Few studies were eligible for inclusion in the meta-analysis considering WC or WHtR (n≤2). The narrative synthesis found measures of central adiposity to be consistently valid indicators of the same risk factors as BMI. BMI was an indicator of CVD risk. WC and WHtR were efficacious for indicating the same risk factors BMI performed strongly for, though there was insufficient evidence to judge the relative strength of each measure possibly due to heterogeneity in the methods for measuring and classifying WC.
Perceived health status and cardiometabolic risk among a sample of youth in Mexico
Flores, Yvonne N.; Shaibi, Gabriel Q.; Morales, Leo S.; Salmerón, Jorge; Skalicky, Anne M.; Edwards, Todd C.; Gallegos-Carrillo, Katia; Patrick, Donald L.
2015-01-01
Purpose To examine differences in self-reported perceived mental and physical health status (PHS), as well as known cardiometabolic risk factors in a sample of normal weight, overweight, and obese Mexican youths. Methods Cross-sectional analysis of 164 youths aged 11-18 years recruited in Cuernavaca, Mexico. Participants completed a self-administered questionnaire that included measures of generic and weight-specific quality of life (QoL), perceived health, physical function, depressive symptoms, and body shape satisfaction. Height, weight and waist circumference were measured and body mass index (BMI) was determined. Fasting blood samples from participants yielded levels of glucose, triglycerides, and cholesterol (total, HDL and LDL). Results Nearly 50% of participants were female, 21% had a normal BMI, 39% were overweight, and 40% were obese. Obese youths reported significantly lower measures of PHS and showed an increase in cardiometabolic risk, compared to normal weight youths. Physical functioning, generic and weight-specific QoL were inversely associated with BMI, waist circumference and glucose. Depressive symptoms were positively correlated with BMI, waist circumference, glucose levels and HDL cholesterol. No correlation was found between PHS and cardiometabolic risk measures after controlling for BMI. Conclusions In this sample of Mexican youths, obesity was associated with a significantly lower PHS and increased cardiometabolic risk. PMID:25648756
Sakane, Naoki; Dohi, Seitaro; Sakata, Koichi; Hagiwara, Shin-Ichi; Morimoto, Toshihisa; Uchida, Takanobu; Katashima, Mitsuhiro; Yanagisawa, Yoshiko; Yasumasu, Takeshi; Study Group, J-Value
2013-01-01
A reduction of visceral fat is important for improvement of metabolic risk. This study was designed to compare the effects of a web-based program alone or together with measurement and self-awareness of accumulated visceral fat in Japanese workers. A new noninvasive device to measure visceral fat accumulation was introduced, and efficacy on weight-loss and improvement of healthy behaviors were examined. This study was conducted according to Helsinki declaration and approved by the ethical committee of Japan Hospital Organization, National Kyoto Hospital. Two-hundred and sixteen overweight and obese males with BMI of more than 23 participated from 8 healthcare offices of 3 Japanese private companies. Subjects were randomly allocated into control group, Web-based weight-loss program (Web), or Web + Visceral fat measurement group (Web + VFA). Eighty-one percent of participants completed the study. Reductions of body weight, waist circumference, and BMI were the largest in Web + VFA group, and the differences between groups were significant by ANOVA. Improvements of healthy behaviors were the largest in Web + VFA group, and the differences of healthy eating improvement scores between Web + VFA and control groups were significant. Our findings suggest that measurement and awareness of visceral fat are effective in weight reduction in overweight and obese males in the workplace.
Genetic evidence for causal relationships between maternal obesity-related traits and birth weight
Tyrrell, Jessica; Richmond, Rebecca C.; Palmer, Tom M.; Feenstra, Bjarke; Rangarajan, Janani; Metrustry, Sarah; Cavadino, Alana; Paternoster, Lavinia; Armstrong, Loren L.; De Silva, N. Maneka G.; Wood, Andrew R.; Horikoshi, Momoko; Geller, Frank; Myhre, Ronny; Bradfield, Jonathan P.; Kreiner-Møller, Eskil; Huikari, Ville; Painter, Jodie N.; Hottenga, Jouke-Jan; Allard, Catherine; Berry, Diane J.; Bouchard, Luigi; Das, Shikta; Evans, David M.; Hakonarson, Hakon; Hayes, M. Geoffrey; Heikkinen, Jani; Hofman, Albert; Knight, Bridget; Lind, Penelope A.; McCarthy, Mark I.; McMahon, George; Medland, Sarah E.; Melbye, Mads; Morris, Andrew P.; Nodzenski, Michael; Reichetzeder, Christoph; Ring, Susan M.; Sebert, Sylvain; Sengpiel, Verena; Sørensen, Thorkild I.A.; Willemsen, Gonneke; de Geus, Eco J. C.; Martin, Nicholas G.; Spector, Tim D.; Power, Christine; Järvelin, Marjo-Riitta; Bisgaard, Hans; Grant, Struan F.A.; Nohr, Ellen A.; Jaddoe, Vincent W.; Jacobsson, Bo; Murray, Jeffrey C.; Hocher, Berthold; Hattersley, Andrew T.; Scholtens, Denise M.; Smith, George Davey; Hivert, Marie-France; Felix, Janine F.; Hyppönen, Elina; Lowe, William L.; Frayling, Timothy M.; Lawlor, Debbie A.; Freathy, Rachel M.
2016-01-01
Structured abstract Importance Neonates born to overweight/obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of these associations is uncertain. Objective To test for genetic evidence of causal associations of maternal body mass index (BMI) and related traits with birth weight. Design, Setting and Participants We used Mendelian randomization to test whether maternal BMI and obesity-related traits are causally related to offspring birth weight. Mendelian randomization makes use of the fact that genotypes are randomly determined at conception and are thus not confounded by non-genetic factors. Data were analysed on 30,487 women from 18 studies. Participants were of European ancestry from population- or community-based studies located in Europe, North America or Australia and participating in the Early Growth Genetics (EGG) Consortium. Live, term, singleton offspring born between 1929 and 2013 were included. We tested associations between a genetic score of 30 BMI-associated single nucleotide polymorphisms (SNPs) and (i) maternal BMI and (ii) birth weight, to estimate the causal relationship between BMI and birth weight. Analyses were repeated for other obesity-related traits. Exposures Genetic scores for BMI, fasting glucose level, type 2 diabetes, systolic blood pressure (SBP), triglyceride level, HDL-cholesterol level, vitamin D status and adiponectin level. Main Outcome(s) and Measure(s) Offspring birth weight measured by trained study personnel (n=2 studies), from medical records (n= 10 studies) or from maternal report (n=6 studies). Results Among the 30,487 newborns the mean birth weight in the various cohorts ranged from 3325 g to 3679 g. The genetic score for BMI was associated with a 2g (95%CI: 0, 3g) higher offspring birth weight per maternal BMI-raising allele (P=0.008). The maternal genetic scores for fasting glucose and SBP were also associated with birth weight with effect sizes of 8g (95%CI: 6, 10g) per glucose-raising allele (P=7×10−14) and −4g (95%CI: −6, −2g) per SBP-raising allele (P=1×10−5), respectively. A 1 standard deviation (1 SD ≈ 4kg/m2) genetically higher maternal BMI was associated with a 55g (95% CI: 17, 93g) higher birth weight. A 1-SD genetically higher maternal fasting glucose (≈ 0.4mmol/L) or SBP (10mmHg) were associated with a 114g (95%CI: 80, 147g) higher or −208g (95% CI: −394, −21g) lower birth weight, respectively. For BMI and fasting glucose these genetic associations were consistent with the observational associations, but for SBP, the genetic and observational associations were in opposite directions. Conclusions and Relevance In this Mendelian randomization study of more than 30,000 women with singleton offspring from 18 studies, genetically elevated maternal BMI and blood glucose levels were potentially causally associated with higher offspring birth weight, whereas genetically elevated maternal systolic blood pressure was shown to be potentially causally related to lower birth weight. If replicated, these findings may have implications for counseling and managing pregnancies to avoid adverse weight-related birth outcomes. PMID:26978208
Effect of a park-based after-school program on participant obesity-related health outcomes.
Messiah, Sarah E; Diego, Allison; Kardys, Jack; Kirwin, Kevin; Hanson, Eric; Nottage, Renae; Ramirez, Shawn; Arheart, Kristopher L
2015-01-01
The objective of this study was to examine the effect of a structured after-school program housed in a large county parks system on participant health and wellness outcomes. Longitudinal cohort study over one school year (fall 2011-spring 2012). A total of 23 county parks in Florida. Children ages 5 to 16 (N = 349, 55% non-Hispanic black, 40% Hispanic, mean age 8.9 years). An after-school program called Fit-2-Play that integrates daily standardized physical activity and health and wellness education components. Preintervention (August/September 2011) and postintervention (May/June 2012) anthropometric, systolic/diastolic blood pressure, fitness, and health and wellness knowledge measurements were collected. Comparison of pre-post outcome measure means were assessed via general linear mixed models for normal-weight (body mass index [BMI] <85th percentile for age and sex) and overweight/obese (BMI ≥85th percentile for age and sex) participants. The overweight/obese group significantly decreased their mean (1) BMI z score (2.0 to 1.8, p < .01) and (2) subscapular skinfold measurements (19.4 to 17.5 mm, p < .01) and increased (1) mean laps on the Progressive Aerobic Cardiovascular Endurance Run test (10.8 to 12.5, p = .04) and (2) percentage with normal systolic blood pressure (58.1% to 71.0%, p = .03) from pretest to posttest. On average, participants significantly improved their health and wellness knowledge over the school year (p < .01). Normal-weight participants maintained healthy BMI ranges and significantly increased fitness levels. Findings suggest that the Fit-2-Play after-school programs can be a significant resource for combating childhood obesity and instilling positive physical health in children, particularly among ethnic and socioeconomically diverse communities.
Chen, Chen; Xu, Yan; Guo, Zhi-rong; Yang, Jie; Wu, Ming; Hu, Xiao-shu
2014-07-08
Visceral adiposity index (VAI), a novel sex-specific index for visceral fat measurement, has been proposed recently. We evaluate the efficacy of VAI in identifying diabetes risk in Chinese people, and compare the predictive ability between VAI and other body fatness indices, i.e., waist circumference (WC), body mass index (BMI) and waist- to- height ratio (WHtR). Participants (n=3,461) were recruited from an ongoing cohort study in Jiangsu Province, China. Hazard ratio (HR) and corresponding 95% confidence interval (CI) between diabetes risk and different body fatness indices were evaluated by Cox proportional hazard regression model. Receiver operating characteristic (ROC) curve and area under curve (AUC) were applied to compare the ability of identifying diabetes risk between VAI, WC, WHtR and BMI. A total number of 160 new diabetic cases occurred during the follow-up, with an incidence of 4.6%. Significant positive associations were observed for VAI with blood pressure, fasting plasma glucose, triglyceride, WC, BMI and WHtR. Moreover, increased VAI was observed to be associated with higher diabetes risk with a positive dose-response trend (p for trend<0.001). As compared to individuals with the lowest VAI, those who had the highest VAI were at 2.55-fold risk of diabetes (95% CI: 1.58-4.11). The largest AUC was observed for VAI, following by WC, WHtR and BMI. VAI is positively associated with the risk of diabetes. Compared to other indices for body fatness measurements, VAI is a better and convenience surrogate marker for visceral adipose measurement and could be used in identifying the risk of diabetes in large-scale epidemiologic studies.
Shin, Dayeon; Hur, Junguk; Cho, Eun-Hee; Chung, Hae-Kyung; Shivappa, Nitin; Wirth, Michael D; Hébert, James R; Lee, Kyung Won
2017-04-01
There have been a limited number of studies examining the association between pre-pregnancy body mass index (BMI) and dietary inflammation during pregnancy. Our aim is to examine the association between pre-pregnancy BMI and the Dietary Inflammatory Index (DII)™ and C-reactive protein (CRP) concentrations during pregnancy. The study included 631 pregnant American women from the National Health and Nutrition Examination Survey (NHANES) cross-sectional examinations from 2003 to 2012. Pre-pregnancy BMI was calculated based on self-reported pre-pregnancy weight and measured height. The cut-offs of <18.5 (underweight), 18.5-24.9 (normal), 25.0-29.9 (overweight), and ≥30 kg/m² (obese) were used to categorize the weight status of pregnant women prior to pregnancy. The DII, a literature-based dietary index to assess the inflammatory properties of diet, was estimated based on a one-day 24-h recall. Multivariable linear and logistic regressions were performed to estimate beta coefficients and the adjusted odds ratios (AORs) and 95% confidence intervals (95% CIs) on the association of pre-pregnancy BMI categories with the DII and CRP concentrations during pregnancy. After controlling for variables including: race/ethnicity, family poverty income ratio, education, marital status, month in pregnancy, and smoking status during pregnancy; women who were obese before pregnancy ( n = 136) had increased odds for being in the highest tertile of the DII and CRP concentrations compared to women with normal weight (AORs 2.40, 95% CIs 1.01-5.71; AORs 24.84, 95% CIs 6.19-99.67, respectively). These findings suggest that women with pre-pregnancy obesity had greater odds of reporting higher DII and having elevated CRP. In conclusion, high pre-pregnancy BMI was associated with increased odds of pro-inflammatory diet and elevated CRP levels during pregnancy in the USA.
DNA Methylation and BMI: Investigating Identified Methylation Sites at HIF3A in a Causal Framework
Richmond, Rebecca C.; Ward, Mary E.; Fraser, Abigail; Lyttleton, Oliver; McArdle, Wendy L.; Ring, Susan M.; Gaunt, Tom R.; Lawlor, Debbie A.; Davey Smith, George; Relton, Caroline L.
2016-01-01
Multiple differentially methylated sites and regions associated with adiposity have now been identified in large-scale cross-sectional studies. We tested for replication of associations between previously identified CpG sites at HIF3A and adiposity in ∼1,000 mother-offspring pairs from the Avon Longitudinal Study of Parents and Children (ALSPAC). Availability of methylation and adiposity measures at multiple time points, as well as genetic data, allowed us to assess the temporal associations between adiposity and methylation and to make inferences regarding causality and directionality. Overall, our results were discordant with those expected if HIF3A methylation has a causal effect on BMI and provided more evidence for causality in the reverse direction (i.e., an effect of BMI on HIF3A methylation). These results are based on robust evidence from longitudinal analyses and were also partially supported by Mendelian randomization analysis, although this latter analysis was underpowered to detect a causal effect of BMI on HIF3A methylation. Our results also highlight an apparent long-lasting intergenerational influence of maternal BMI on offspring methylation at this locus, which may confound associations between own adiposity and HIF3A methylation. Further work is required to replicate and uncover the mechanisms underlying the direct and intergenerational effect of adiposity on DNA methylation. PMID:26861784
Hajian-Tilaki, Karimollah; Heidari, Behzad
2015-01-01
The biological variation of body mass index (BMI) and waist circumference (WC) with age may vary by gender. The objective of this study was to investigate the functional relationship of anthropometric measures with age and sex. The data were collected from a population-based cross-sectional study of 1800 men and 1800 women aged 20-70 years in northern Iran. The linear and quadratic pattern of age on weight, height, BMI and WC and WHR were tested statistically and the interaction effect of age and gender was also formally tested. The quadratic model (age(2)) provided a significantly better fit than simple linear model for weight, BMI and WC. BMI, WC and weight explained a greater variance using quadratic form for women compared with men (for BMI, R(2)=0.18, p<0.001 vs R(2)=0.059, p<0.001 and for WC, R(2)=0.17, p<0.001 vs R(2)=0.047, p<0.001). For height, there is an inverse linear relationship while for WHR, a positive linear association was apparent by aging, the quadratic form did not add to better fit. These findings indicate the different patterns of weight gain, fat accumulation for visceral adiposity and loss of muscle mass between men and women in the early and middle adulthood.
Annesi, James J
2008-01-01
It has been suggested that physical activity may affect weight reduction outcomes through associated improvements in mood. Relations of physical activity, mood, and weight change are not well understood in persons classified as severely obese (BMI > or = 40 kg/m(2)), however. This research tested these relationships in women with severe obesity. 57 women with a mean BMI of 43.8 kg/m(2) were enrolled in a cognitive-behavioral exercise support treatment with group-based nutrition information. Measurement of depression, tension, overall mood, and BMI was taken at baseline and month 6, and exercise session attendance was recorded. The treatment was associated with significant improvements in depression, tension and total mood disturbance scores as well as in BMI over 6 months. Changes in mood scores that were more positive were correlated with a greater reduction in BMI. Mean attendance in the prescribed 3 session/week exercise regimen was 46.0%, and attendance was significantly correlated with changes in tension and total mood disturbance scores, and approached significance with changes in depression scores. Findings suggested significant relations of mood and weight change as well as of physical activity and mood in severely obese women associated with a treatment of moderate physical activity. With extensions of this research, weight loss theory and treatment may benefit. Copyright 2008 S. Karger AG, Basel.
The effect of change in body mass index on volumetric measures of mammographic density
Hart, Vicki; Reeves, Katherine W.; Sturgeon, Susan R.; Reich, Nicholas G.; Sievert, Lynnette Leidy; Kerlikowske, Karla; Ma, Lin; Shepherd, John; Tice, Jeffrey A.; Mahmoudzadeh, Amir Pasha; Malkov, Serghei; Sprague, Brian L.
2015-01-01
Background Understanding how changes in body mass index (BMI) relate to changes in mammographic density is necessary to evaluate adjustment for BMI gain/loss in studies of change in density and breast cancer risk. Increase in BMI has been associated with a decrease in percent density, but the effect on change in absolute dense area or volume is unclear. Methods We examined the association between change in BMI and change in volumetric breast density among 24,556 women in the San Francisco Mammography Registry from 2007-2013. Height and weight were self-reported at the time of mammography. Breast density was assessed using single x-ray absorptiometry measurements. Cross-sectional and longitudinal associations between BMI and dense volume (DV), non-dense volume (NDV) and percent dense volume (PDV) were assessed using multivariable linear regression models, adjusted for demographics, risk factors, and reproductive history. Results In cross-sectional analysis, BMI was positively associated with DV (β=2.95 cm3, 95% CI 2.69, 3.21) and inversely associated with PDV (β=-2.03%, 95% CI -2.09, -1.98). In contrast, increasing BMI was longitudinally associated with a decrease in both DV (β=-1.01 cm3, 95% CI -1.59, -0.42) and PDV (β=-1.17%, 95% CI -1.31, -1.04). These findings were consistent for both pre- and postmenopausal women. Conclusion Our findings support an inverse association between change in BMI and change in PDV. The association between increasing BMI and decreasing DV requires confirmation. Impact Longitudinal studies of PDV and breast cancer risk, or those using PDV as an indicator of breast cancer risk, should evaluate adjustment for change in BMI. PMID:26315554
Ogden, Cynthia L; Yanovski, Jack A; Freedman, David S; Shepherd, John A; Graubard, Barry I; Borrud, Lori G
2010-01-01
Background: Body mass index (BMI)–for-age has been recommended as a screening test for excess adiposity in children and adolescents. Objective: We quantified the performance of standard categories of BMI-for-age relative to the population prevalence of high adiposity in children and adolescents overall and by race-ethnic group in a nationally representative US population sample by using definitions of high adiposity that are consistent with expert committee recommendations. Design: Percentage body fat in 8821 children and adolescents aged 8–19 y was measured by using dual-energy X-ray absorptiometry in 1999–2004 as part of a health examination survey. Results: With the use of several different cutoffs for percentage fat to define high adiposity, most children with high BMI-for-age (≥95th percentile of the growth charts) had high adiposity, and few children with normal BMI-for-age (<85th percentile) had high adiposity. The prevalence of high adiposity in intermediate BMI categories varied from 45% to 15% depending on the cutoff. The prevalence of a high BMI was significantly higher in non-Hispanic black girls than in non-Hispanic white girls, but the prevalence of high adiposity was not significantly different. Conclusions: Current BMI cutoffs can identify a high prevalence of high adiposity in children with high BMI-for-age and a low prevalence of high adiposity in children with normal BMI-for-age. By these adiposity measures, less than one-half of children with intermediate BMIs-for-age (85th to <95th percentile) have high adiposity. Differences in high BMI ranges between race-ethnic groups do not necessarily indicate differences in high adiposity. PMID:20164313
Anderson, Laura M; Aycock, Katherine E; Mihalic, Caitlin A; Kozlowski, Darcie J; Detschner, Angela M
2013-02-01
The school environment is an ideal setting for healthy weight programming with adolescents. The federal government has reinforced the importance of school-based health promotion. The current study examined the preliminary influence of the 2006 school wellness policy requirement of the Child Nutrition and WIC Reauthorization Act (CNWICRA) on adolescent Body Mass Index (BMI) and physical education participation. Nationally representative data from the 2003 and 2007 Youth Risk Behavior Surveillance Survey (YRBSS) were used. The authors examined BMI percentile and physical education participation based on survey year and geographic region. Results suggest a slight decrease in BMI with no changes in physical education participation. A main effect for geographic region was found for both physical education participation and BMI percentile, while a geographic region-by-survey year interaction was discovered when analyzing BMI percentiles. Results suggest a need for continued investigation and may inform future healthy weight programming and geographically tailored wellness policies.
Trajectories of body mass index among Canadian seniors and associated mortality risk.
Wang, Meng; Yi, Yanqing; Roebothan, Barbara; Colbourne, Jennifer; Maddalena, Victor; Sun, Guang; Wang, Peizhong Peter
2017-12-04
This study aims to characterize the heterogeneity in BMI trajectories and evaluate how different BMI trajectories predict mortality risk in Canadian seniors. Data came from the Canadian National Population Health Survey (NPHS, 1994-2011) and 1480 individuals aged 65-79 years with at least four BMI records were included in this study. Group-based trajectory model was used to identify distinct subgroups of longitudinal trajectories of BMI measured over 19 years for men and women. Cox proportional hazards models were used to examine the association between BMI trajectories and mortality risks. Distinct trajectory patterns were found for men and women: 'Normal Weight-Down'(N-D), 'Overweight-Normal weight' (OV-N), 'Obese I-Down' (OB I-D), and 'Obese II- Down' (OB II-D) for women; and 'Normal Weight-Down' (N-D), 'Overweight-Normal weight' (OV-N), 'Overweight-Stable' (OV-S), and 'Obese-Stable' (OB-S) for men. Comparing with OV-N, men in the OV-S group had the lowest mortality risk followed by the N-D (HR = 1.66) and OB-S (HR = 1.98) groups, after adjusting for covariates. Compared with OV-N, women in the OB II-D group with three or more chronic health conditions had higher mortality risk (HR = 1.61); however, women in OB II-D had lower risk (HR = 0.56) if they had less than three conditions. The course of BMI over time in Canadian seniors appears to follow one of four different patterns depending on gender. The findings suggest that men who were overweight at age 65 and lost weight over time had the lowest mortality risk. Interestingly, obese women with decreasing BMI have different mortality risks, depending on their chronic health conditions. The findings provide new insights concerning the associations between BMI and mortality risk.
Body composition in 13-year-old adolescents with abdominal obesity, depending on the BMI value.
Goluch-Koniuszy, Zuzanna S; Kuchlewska, Magdalena
2017-09-01
Excessive adipocyte growth during the pubertal transition predisposes to the development and persistence of obesity in adulthood. Visceral accumulation of body fat is particularly disadvantageous when it is correlated with insulin resistance, secondary hyperinsulinaemia, dysglicaemia, and atherogenic dyslipidemia. The aim of this study was to conduct a nutritional status assessment and body composition analysis in 13-year-old adolescents of both genders with visceral fat accumulation (WC ≥ 90th percentile) and different BMI values. The evaluation of state of nutrition of 1,738 Polish boys (n = 882) and girls (n = 856) aged 13 was done based on anthropometric measurements and calculated BMI (body mass index), WC (waist circumference) and WHtR indices (waist-to-height ratio). Taking into consideration the value of WC ≥ 90 pc, 353 people were designated (20.3 % of the total) with visceral obesity (but with various BMI), whose body composition was examined by the method of bioelectric impedance analysis (BIA). A total of 249 adolescents of both sexes (70.5% of the selected, 102 boys and 147 girls) and their parents agreed to the study. In adolescents with visceral obesity a significant change of body content was ascertained depending on the value of the BMI. Even in the people with a proper value of the BMI, a significantly higher than standard increase of the percentage of total body fat (TBF) and decrease of both the percentage of body lean (BL) and the content of total body water (TBW) in the body was observed. The values of the BMI, WC and WHtR in adolescents were significantly correlated with each other as well as with TBF, BL and TBW, and the strength of correlation was dependent on sex. The state of nutrition in adolescents with visceral obesity, even with a proper BMI, might contribute to the development of a metabolic syndrome.
Aljuraiban, Ghadeer S.; Chan, Queenie; Griep, Linda M. Oude; Brown, Ian J.; Daviglus, Martha L.; Stamler, Jeremiah; Van Horn, Linda; Elliott, Paul; Frost, Gary S.
2014-01-01
Background Epidemiologic evidence is sparse on the effect of dietary behaviors and diet quality on body mass index (BMI) that may be important drivers of the obesity epidemic. Objective This study investigated the relationships of frequency of eating and time of intake to energy density, nutrient quality and BMI using data from the INTERnational study on MAcro/micronutrients and blood Pressure (INTERMAP) including 2,696 men and women aged 40-59 from the United States and the United Kingdom. Design INTERMAP is a cross-sectional investigation with four 24-hour dietary recalls and BMI measurements conducted between 1996 and 1999. Consumption of solid foods was aggregated into eating occasion. Nutrient density is expressed using the Nutrient Rich Food (NRF 9.3) index. The ratio of evening/morning energy intake was calculated; mean values of four visits were used. Statistical analyses performed Characteristics across eating occasion categories are presented as adjusted mean with corresponding 95% confidence interval. Multiple linear regression models were used to examine associations of eating occasions, ratio of evening/morning energy intake, dietary energy density, and NRF 9.3 index with BMI. Results Compared to participants with < 4 eating occasions/24-hours, those with ≥ 6 eating occasions/24-hours had lower mean: BMI: 27.3 vs. 29.0 kg/m2; total energy intake: 2,129 vs. 2,472 kcal/24-hours; dietary energy density: 1.5 vs. 2.1 kcal/g; and higher NRF 9.3 index: 34.3 vs. 28.1. In multiple regression analyses, higher evening intake relative to morning intake was directly associated with BMI; however this did not influence the relationship between eating frequency and BMI. Conclusions Our results suggest that a larger number of small meals may be associated with improved diet quality and lower BMI. This may have implications for behavioral approaches to controlling the obesity epidemic. PMID:25620753
Legleye, Stéphane; Beck, François; Spilka, Stanislas; Chau, Nearkasen
2014-01-01
Objectives To propose a simple correction of body-mass index (BMI) based on self-reported weight and height (reported BMI) using gender, body shape perception and socioeconomic status in an adolescent population. Methods 341 boys and girls aged 17–18 years were randomly selected from a representative sample of 2165 French adolescents living in Paris surveyed in 2010. After an anonymous self-administered pen-and-paper questionnaire asking for height, weight, body shape perception (feeling too thin, about the right weight or too fat) and socioeconomic status, subjects were measured and weighed. BMI categories were computed according to Cole’s cut-offs. Reported BMIs were corrected using linear regressions and ROC analyses and checked with cross-validation and multiple imputations to handle missing values. Agreement between actual and corrected BMI values was estimated with Kappa indexes and Intraclass correlation coefficients (ICC). Results On average, BMIs were underreported, especially among girls. Kappa indexes between actual and reported BMI were low, especially for girls: 0.56 95%CI = [0.42–0.70] for boys and 0.45 95%CI = [0.30–0.60] for girls. The regression of reported BMI by gender and body shape perception gave the most balanced results for both genders: the Kappa and ICC obtained were 0.63 95%CI = [0.50–0.76] and 0.67, 95%CI = [0.58–0.74] for boys; 0.65 95%CI = [0.52–0.78] and 0.74, 95%CI = [0.66–0.81] for girls. The regression of reported BMI by gender and socioeconomic status led to similar corrections while the ROC analyses were inaccurate. Conclusions Using body shape perception, or socioeconomic status and gender is a promising way of correcting BMI in self-administered questionnaires, especially for girls. PMID:24844229
León Bianchi, L; Galmarini, M V; García-Burgos, D; Zamora, M C
2018-07-01
There are very few studies which have considered perception temporality when relating perceived intensity and hedonic responses in relation to body mass index (BMI; kg/cm 2 ). The aim of the present study was to determine the relationship between BMI with the dynamic perception and liking of bitter tasting solutions. For this purpose, two different categories of bitter products were applied: 6-n-propilthiouracil (PROP) solutions (0.010, 0.032 and 0.060 mmol/L) and commercial beverages (coffee, yerba mate infusion and grapefruit juice). The proposed methodology to evaluate perception and hedonic response was based on the measurement of reaction-time (R-T) and multiple-sip time-intensity (T-I) registers in people with a high BMI (25 < BMI < 30; overweight group) and a normal BMI (<25; normal-weight control group). The multiple-sip evaluation to describe perception of PROP solutions and liking of beverages was used as a more ecologically valid laboratory methodology to simulate a situation of usual consumption. In this sense, working with a multiple-sip design helped confirm that bitter taste has a cumulative effect since in every case the sip effect was significant when evaluating the maximum intensity; this effect was more important as the bitterness increased. Regarding the body weight group comparisons, the normal BMI group perceived bitter taste more intensely and the time to react to it was shorter (faster reaction) for both PROP solutions and the three beverages. Interestingly, even though the high BMI group rated the bitter taste as less intense, they had a lower level of acceptance than normal BMI. This result suggests that the hedonic rather than the sensory component might be playing a crucial role in the perception of bitter taste in individuals with high BMI. Copyright © 2018 Elsevier Ltd. All rights reserved.
Association of a Genetic Risk Score With Body Mass Index Across Different Birth Cohorts.
Walter, Stefan; Mejía-Guevara, Iván; Estrada, Karol; Liu, Sze Y; Glymour, M Maria
2016-07-05
Many genetic variants are associated with body mass index (BMI). Associations may have changed with the 20th century obesity epidemic and may differ for black vs white individuals. Using birth cohort as an indicator for exposure to obesogenic environment, to evaluate whether genetic predisposition to higher BMI has a larger magnitude of association among adults from more recent birth cohorts, who were exposed to the obesity epidemic at younger ages. Observational study of 8788 adults in the US national Health and Retirement Study who were aged 50 years and older, born between 1900 and 1958, with as many as 12 BMI assessments from 1992 to 2014. A multilocus genetic risk score for BMI (GRS-BMI), calculated as the weighted sum of alleles of 29 single nucleotide polymorphisms associated with BMI, with weights equal to the published per-allele effects. The GRS-BMI represents how much each person's BMI is expected to differ, based on genetic background (with respect to these 29 loci), from the BMI of a sample member with median genetic risk. The median-centered GRS-BMI ranged from -1.68 to 2.01. BMI based on self-reported height and weight. GRS-BMI was significantly associated with BMI among white participants (n = 7482; mean age at first assessment, 59 years; 3373 [45%] were men; P <.001) and among black participants (n = 1306; mean age at first assessment, 57 years; 505 [39%] were men; P <.001) but accounted for 0.99% of variation in BMI among white participants and 1.37% among black participants. In multilevel models accounting for age, the magnitude of associations of GRS-BMI with BMI were larger for more recent birth cohorts. For example, among white participants, each unit higher GRS-BMI was associated with a difference in BMI of 1.37 (95% CI, 0.93 to 1.80) if born after 1943, and 0.17 (95% CI, -0.55 to 0.89) if born before 1924 (P = .006). For black participants, each unit higher GRS-BMI was associated with a difference in BMI of 3.70 (95% CI, 2.42 to 4.97) if born after 1943, and 1.44 (95% CI, -1.40 to 4.29) if born before 1924. For participants born between 1900 and 1958, the magnitude of association between BMI and a genetic risk score for BMI was larger among persons born in later cohorts. This suggests that associations of known genetic variants with BMI may be modified by obesogenic environments.