Sabes-Figuera, Ramon; McCrone, Paul; Kendricks, Antony
2013-04-01
Economic evaluation analyses can be enhanced by employing regression methods, allowing for the identification of important sub-groups and to adjust for imperfect randomisation in clinical trials or to analyse non-randomised data. To explore the benefits of combining regression techniques and the standard Bayesian approach to refine cost-effectiveness analyses using data from randomised clinical trials. Data from a randomised trial of anti-depressant treatment were analysed and a regression model was used to explore the factors that have an impact on the net benefit (NB) statistic with the aim of using these findings to adjust the cost-effectiveness acceptability curves. Exploratory sub-samples' analyses were carried out to explore possible differences in cost-effectiveness. Results The analysis found that having suffered a previous similar depression is strongly correlated with a lower NB, independent of the outcome measure or follow-up point. In patients with previous similar depression, adding an selective serotonin reuptake inhibitors (SSRI) to supportive care for mild-to-moderate depression is probably cost-effective at the level used by the English National Institute for Health and Clinical Excellence to make recommendations. This analysis highlights the need for incorporation of econometric methods into cost-effectiveness analyses using the NB approach.
Covariate Imbalance and Adjustment for Logistic Regression Analysis of Clinical Trial Data
Ciolino, Jody D.; Martin, Reneé H.; Zhao, Wenle; Jauch, Edward C.; Hill, Michael D.; Palesch, Yuko Y.
2014-01-01
In logistic regression analysis for binary clinical trial data, adjusted treatment effect estimates are often not equivalent to unadjusted estimates in the presence of influential covariates. This paper uses simulation to quantify the benefit of covariate adjustment in logistic regression. However, International Conference on Harmonization guidelines suggest that covariate adjustment be pre-specified. Unplanned adjusted analyses should be considered secondary. Results suggest that that if adjustment is not possible or unplanned in a logistic setting, balance in continuous covariates can alleviate some (but never all) of the shortcomings of unadjusted analyses. The case of log binomial regression is also explored. PMID:24138438
ERIC Educational Resources Information Center
Tong, Fuhui
2006-01-01
Background: An extensive body of researches has favored the use of regression over other parametric analyses that are based on OVA. In case of noteworthy regression results, researchers tend to explore magnitude of beta weights for the respective predictors. Purpose: The purpose of this paper is to examine both beta weights and structure…
ERIC Educational Resources Information Center
Brabant, Marie-Eve; Hebert, Martine; Chagnon, Francois
2013-01-01
This study explored the clinical profiles of 77 female teenager survivors of sexual abuse and examined the association of abuse-related and personal variables with suicidal ideations. Analyses revealed that 64% of participants experienced suicidal ideations. Findings from classification and regression tree analysis indicated that depression,…
ERIC Educational Resources Information Center
Fulmer, Gavin W.; Polikoff, Morgan S.
2014-01-01
An essential component in school accountability efforts is for assessments to be well-aligned with the standards or curriculum they are intended to measure. However, relatively little prior research has explored methods to determine statistical significance of alignment or misalignment. This study explores analyses of alignment as a special case…
The Relationship between Retention and College Counseling for High-risk Students
ERIC Educational Resources Information Center
Bishop, Kyle K.
2016-01-01
The author used an archival study to explore the relationship between college counseling and retention. The cohort for this study was a college's 2006 class of full-time, 1st-year students (N = 429). The results of chi-square analyses and regression analyses indicated (a) a significant difference in retention between high-risk and low-risk…
Exploring the links between personality traits and motivations to play online games.
Park, Jowon; Song, Yosep; Teng, Ching-I
2011-12-01
The present study explores the links between personality traits and motivations to play online games. We identified the underlying dimensions of motivations to play online games, examined how personality traits predict motivation, and investigated how personality traits predict online gaming behavior (i.e., playing time and preference for game genres). Factor analyses identified five motivational factors: relationships, adventure, escapism, relaxation, and achievement. The regression analyses indicated that two personality traits, extraversion and agreeableness, predicted various motivations; however, personality traits did not affect the playing time and game genre preference.
Shrinkage regression-based methods for microarray missing value imputation.
Wang, Hsiuying; Chiu, Chia-Chun; Wu, Yi-Ching; Wu, Wei-Sheng
2013-01-01
Missing values commonly occur in the microarray data, which usually contain more than 5% missing values with up to 90% of genes affected. Inaccurate missing value estimation results in reducing the power of downstream microarray data analyses. Many types of methods have been developed to estimate missing values. Among them, the regression-based methods are very popular and have been shown to perform better than the other types of methods in many testing microarray datasets. To further improve the performances of the regression-based methods, we propose shrinkage regression-based methods. Our methods take the advantage of the correlation structure in the microarray data and select similar genes for the target gene by Pearson correlation coefficients. Besides, our methods incorporate the least squares principle, utilize a shrinkage estimation approach to adjust the coefficients of the regression model, and then use the new coefficients to estimate missing values. Simulation results show that the proposed methods provide more accurate missing value estimation in six testing microarray datasets than the existing regression-based methods do. Imputation of missing values is a very important aspect of microarray data analyses because most of the downstream analyses require a complete dataset. Therefore, exploring accurate and efficient methods for estimating missing values has become an essential issue. Since our proposed shrinkage regression-based methods can provide accurate missing value estimation, they are competitive alternatives to the existing regression-based methods.
Robinson, J J; Wharrad, H
2001-05-01
The relationship between attendance at birth and maternal mortality rates: an exploration of United Nations' data sets including the ratios of physicians and nurses to population, GNP per capita and female literacy. This is the third and final paper drawing on data taken from United Nations (UN) data sets. The first paper examined the global distribution of health professionals (as measured by ratios of physicians and nurses to population), and its relationship to gross national product per capita (GNP) (Wharrad & Robinson 1999). The second paper explored the relationships between the global distribution of physicians and nurses, GNP, female literacy and the health outcome indicators of infant and under five mortality rates (IMR and u5MR) (Robinson & Wharrad 2000). In the present paper, the global distribution of health professionals is explored in relation to maternal mortality rates (MMRs). The proportion of births attended by medical and nonmedical staff defined as "attendance at birth by trained personnel" (physicians, nurses, midwives or primary health care workers trained in midwifery skills), is included as an additional independent variable in the regression analyses, together with the ratio of physicians and nurses to population, female literacy and GNP. To extend our earlier analyses by considering the relationships between the global distribution of health professionals (ratios of physicians and nurses to population, and the proportion of births attended by trained health personnel), GNP, female literacy and MMR.
An Analysis of Advertising Effectiveness for U.S. Navy Recruiting
1997-09-01
This thesis estimates the effect of Navy television advertising on enlistment rates of high quality male recruits (Armed Forces Qualification Test...Joint advertising is for all Armed Forces), Joint journal, and Joint direct mail advertising are explored. Enlistments are modeled as a function of...several factors including advertising , recruiters, and economic. Regression analyses (Ordinary Least Squares and Two Stage Least Squares) explore the
Application of logistic regression to case-control association studies involving two causative loci.
North, Bernard V; Curtis, David; Sham, Pak C
2005-01-01
Models in which two susceptibility loci jointly influence the risk of developing disease can be explored using logistic regression analysis. Comparison of likelihoods of models incorporating different sets of disease model parameters allows inferences to be drawn regarding the nature of the joint effect of the loci. We have simulated case-control samples generated assuming different two-locus models and then analysed them using logistic regression. We show that this method is practicable and that, for the models we have used, it can be expected to allow useful inferences to be drawn from sample sizes consisting of hundreds of subjects. Interactions between loci can be explored, but interactive effects do not exactly correspond with classical definitions of epistasis. We have particularly examined the issue of the extent to which it is helpful to utilise information from a previously identified locus when investigating a second, unknown locus. We show that for some models conditional analysis can have substantially greater power while for others unconditional analysis can be more powerful. Hence we conclude that in general both conditional and unconditional analyses should be performed when searching for additional loci.
Pütter, Carolin; Pechlivanis, Sonali; Nöthen, Markus M; Jöckel, Karl-Heinz; Wichmann, Heinz-Erich; Scherag, André
2011-01-01
Genome-wide association studies have identified robust associations between single nucleotide polymorphisms and complex traits. As the proportion of phenotypic variance explained is still limited for most of the traits, larger and larger meta-analyses are being conducted to detect additional associations. Here we investigate the impact of the study design and the underlying assumption about the true genetic effect in a bimodal mixture situation on the power to detect associations. We performed simulations of quantitative phenotypes analysed by standard linear regression and dichotomized case-control data sets from the extremes of the quantitative trait analysed by standard logistic regression. Using linear regression, markers with an effect in the extremes of the traits were almost undetectable, whereas analysing extremes by case-control design had superior power even for much smaller sample sizes. Two real data examples are provided to support our theoretical findings and to explore our mixture and parameter assumption. Our findings support the idea to re-analyse the available meta-analysis data sets to detect new loci in the extremes. Moreover, our investigation offers an explanation for discrepant findings when analysing quantitative traits in the general population and in the extremes. Copyright © 2011 S. Karger AG, Basel.
An Exploratory Study of Religion and Trust in Ghana
ERIC Educational Resources Information Center
Addai, Isaac; Opoku-Agyeman, Chris; Ghartey, Helen Tekyiwa
2013-01-01
Based on individual-level data from 2008 Afro-barometer survey, this study explores the relationship between religion (religious affiliation and religious importance) and trust (interpersonal and institutional) among Ghanaians. Employing hierarchical multiple regression technique, our analyses reveal a positive relationship between religious…
Differential and Long-Term Language Impact on Math
ERIC Educational Resources Information Center
Chen, Fang; Chalhoub-Deville, Micheline
2016-01-01
Literature provides consistent evidence that there is a strong relationship between language proficiency and math achievement. However, research results show conflicts supporting either an increasing or a decreasing longitudinal relationship between the two. This study explored a longitudinal data and adopted quantile regression analyses to…
Adolescent Violence: The Protective Effects of Youth Assets
ERIC Educational Resources Information Center
Aspy, Cheryl B.; Oman, Roy F.; Vesely, Sara K.; McLeroy, Kenneth; Rodine, Sharon; Marshall, LaDonna
2004-01-01
The authors explored adolescent physical fighting and weapon carrying, using in-home interviews with 1,098 middle-high school students and their parents. Logistic regression analyses examined the relationship between youth assets and the risk behaviors while controlling for demographic information. Both demographic factors and assets were…
Life Satisfaction and Violent Behaviors among Middle School Students
ERIC Educational Resources Information Center
Valois, Robert F.; Paxton, Raheem J.; Zullig, Keith J.; Huebner, E. Scott
2006-01-01
We explored relationships between violent behaviors and perceived life satisfaction among 2,138 middle school students in a southern state using the CDC Middle School Youth Risk Behavior Survey (MSYRBS) and the Brief Multidimensional Student Life Satisfaction Scale (BMSLSS). Logistic regression analyses and multivariate models constructed…
Is Critical Thinking a Mediator Variable of Student Performance in School?
ERIC Educational Resources Information Center
Walter, Christel; Walter, Paul
2018-01-01
The study explores the influences of critical thinking and interests on students' performance at school. The tested students attended German grammar schools ("Gymnasien"). Separate regression analyses showed the expected moderate positive influences of critical thinking and interests on school performance. But analyzed simultaneously,…
ERIC Educational Resources Information Center
Hartwig, Elizabeth Kjellstrand; Van Overschelde, James P.
2016-01-01
The authors investigated predictor variables for the Counselor Preparation Comprehensive Examination (CPCE) to examine whether academic variables, demographic variables, and test version were associated with graduate counseling students' CPCE scores. Multiple regression analyses revealed all 3 variables were statistically significant predictors of…
Spatial Representation in Blind Children. 3: Effects of Individual Differences.
ERIC Educational Resources Information Center
Fletcher, Janet F.
1981-01-01
Data from a study of spatial representation in blind children were subjected to two stepwise regression analyses to determine the relationships between several subject related variables and responses to "map" (cognitive map) and "route" (sequential memory) questions about the position of furniture in a recently explored room. (Author/SBH)
Social Capital and Homeownership in Low- to Moderate-Income Neighborhoods
ERIC Educational Resources Information Center
Grinstein-Weiss, Michal; Yeo, Yeong Hun; Manturuk, Kim R.; Despard, Mathieu R.; Holub, Krista A.; Greeson, Johanna K. P.; Quercia, Roberto G.
2013-01-01
This study examined the relationship between homeownership and social capital among low- and moderate-income (LMI) households. Using data from the Community Advantage Panel Study, the authors used propensity score weighting and regression analyses to explore the relationship between LMI homeownership, neighborhood conditions, and social capital.…
ERIC Educational Resources Information Center
Kramer, Karen Z.
2012-01-01
Using a longitudinal US dataset (N = 6,134) we examine the relationship between parental behavioural control and academic achievement and explore the moderating role of parental involvement and parental warmth. Analyses using multiple hierarchical regression with clustering controls shows that parental behavioural control is negatively associated…
ERIC Educational Resources Information Center
Everson, Howard T.; And Others
This paper explores the feasibility of neural computing methods such as artificial neural networks (ANNs) and abductory induction mechanisms (AIM) for use in educational measurement. ANNs and AIMS methods are contrasted with more traditional statistical techniques, such as multiple regression and discriminant function analyses, for making…
Assessing Family Economic Status From Teacher Reports.
ERIC Educational Resources Information Center
Moskowitz, Joel M.; Hoepfner, Ralph
The utility of employing teacher reports about characteristics of students and their parents to assess family economic status was investigated using multiple regression analyses. The accuracy of teacher reports about parents' educational background was also explored, in addition to the effect of replacing missing data with logical, mean, or modal…
ERIC Educational Resources Information Center
Yeung, Dannii Y. L.; Tang, Catherine So-kum; Lee, Antoinette
2005-01-01
This study explored how psychosocial and cultural factors influenced expectations of menarche among 476 Chinese premenarcheal teenage girls. Results showed that participants' expectations of menarche were largely negative and heavily influenced by cultural beliefs about menstruation. Findings of hierarchical regression analyses revealed that…
Batson, Sarah; Sutton, Alex; Abrams, Keith
2016-01-01
Patients with atrial fibrillation are at a greater risk of stroke and therefore the main goal for treatment of patients with atrial fibrillation is to prevent stroke from occurring. There are a number of different stroke prevention treatments available to include warfarin and novel oral anticoagulants. Previous network meta-analyses of novel oral anticoagulants for stroke prevention in atrial fibrillation acknowledge the limitation of heterogeneity across the included trials but have not explored the impact of potentially important treatment modifying covariates. To explore potentially important treatment modifying covariates using network meta-regression analyses for stroke prevention in atrial fibrillation. We performed a network meta-analysis for the outcome of ischaemic stroke and conducted an exploratory regression analysis considering potentially important treatment modifying covariates. These covariates included the proportion of patients with a previous stroke, proportion of males, mean age, the duration of study follow-up and the patients underlying risk of ischaemic stroke. None of the covariates explored impacted relative treatment effects relative to placebo. Notably, the exploration of 'study follow-up' as a covariate supported the assumption that difference in trial durations is unimportant in this indication despite the variation across trials in the network. This study is limited by the quantity of data available. Further investigation is warranted, and, as justifying further trials may be difficult, it would be desirable to obtain individual patient level data (IPD) to facilitate an effort to relate treatment effects to IPD covariates in order to investigate heterogeneity. Observational data could also be examined to establish if there are potential trends elsewhere. The approach and methods presented have potentially wide applications within any indication as to highlight the potential benefit of extending decision problems to include additional comparators outside of those of primary interest to allow for the exploration of heterogeneity.
Relation of Everyday Activities of Adults to Their Prose Recall Performance.
ERIC Educational Resources Information Center
Rice, G. Elizabeth; And Others
1988-01-01
Explored connection between everyday activities of different aged adults (N=54) and their performance on prose recall task. Regression analyses showed that demographic variables of age, education, and verbal ability were best predictors of prose recall. Total time spent reading and other reading variables were also significantly correlated with…
Racial Identity Attitudes and Ego Identity Statuses in Dominican and Puerto Rican College Students
ERIC Educational Resources Information Center
Sanchez, Delida
2013-01-01
This study explored the relation between racial identity attitudes and ego identity statuses in 94 Dominican and Puerto Rican Latino college students in an urban public college setting. Simultaneous regression analyses were conducted to test the relation between racial identity attitudes and ego identity statuses, and findings indicated that…
Prosocial Motivation, Stress and Burnout among Direct Support Workers
ERIC Educational Resources Information Center
Hickey, Robert
2014-01-01
Aim: This study explores whether the desire to engage in work that is beneficial to others moderates the effects of stress on burnout. Method: Based on a survey of 1570 direct support professionals in Ontario, this study conducted linear regression analyses and tested for the interaction effects of prosocial motivation on occupational stress and…
ERIC Educational Resources Information Center
Gilstrap, Donald L.
2013-01-01
In addition to qualitative methods presented in chaos and complexity theories in educational research, this article addresses quantitative methods that may show potential for future research studies. Although much in the social and behavioral sciences literature has focused on computer simulations, this article explores current chaos and…
Trojano, Luigi; Siciliano, Mattia; Cristinzio, Chiara; Grossi, Dario
2018-01-01
The present study aimed at exploring relationships among the visuospatial tasks included in the Battery for Visuospatial Abilities (BVA), and at assessing the relative contribution of different facets of visuospatial processing on tests tapping constructional abilities and nonverbal abstract reasoning. One hundred forty-four healthy subjects with a normal score on Mini Mental State Examination completed the BVA plus Raven's Coloured Progressive Matrices and Constructional Apraxia test. We used Principal Axis Factoring and Parallel Analysis to investigate relationships among the BVA visuospatial tasks, and performed regression analyses to assess the visuospatial contribution to constructional abilities and nonverbal abstract reasoning. Principal Axis Factoring and Parallel Analysis revealed two eigenvalues exceeding 1, accounting for about 60% of the variance. A 2-factor model provided the best fit. Factor 1 included sub-tests exploring "complex" visuospatial skills, whereas Factor 2 included two subtests tapping "simple" visuospatial skills. Regression analyses revealed that both Factor 1 and Factor 2 significantly affected performance on Raven's Coloured Progressive Matrices, whereas only the Factor 1 affected performance on Constructional Apraxia test. Our results supported functional segregation proposed by De Renzi, suggesting clinical caution to utilize a single test to assess visuospatial domain, and qualified the visuospatial contribution in drawing and non-verbal intelligence test.
An empirical study using permutation-based resampling in meta-regression
2012-01-01
Background In meta-regression, as the number of trials in the analyses decreases, the risk of false positives or false negatives increases. This is partly due to the assumption of normality that may not hold in small samples. Creation of a distribution from the observed trials using permutation methods to calculate P values may allow for less spurious findings. Permutation has not been empirically tested in meta-regression. The objective of this study was to perform an empirical investigation to explore the differences in results for meta-analyses on a small number of trials using standard large sample approaches verses permutation-based methods for meta-regression. Methods We isolated a sample of randomized controlled clinical trials (RCTs) for interventions that have a small number of trials (herbal medicine trials). Trials were then grouped by herbal species and condition and assessed for methodological quality using the Jadad scale, and data were extracted for each outcome. Finally, we performed meta-analyses on the primary outcome of each group of trials and meta-regression for methodological quality subgroups within each meta-analysis. We used large sample methods and permutation methods in our meta-regression modeling. We then compared final models and final P values between methods. Results We collected 110 trials across 5 intervention/outcome pairings and 5 to 10 trials per covariate. When applying large sample methods and permutation-based methods in our backwards stepwise regression the covariates in the final models were identical in all cases. The P values for the covariates in the final model were larger in 78% (7/9) of the cases for permutation and identical for 22% (2/9) of the cases. Conclusions We present empirical evidence that permutation-based resampling may not change final models when using backwards stepwise regression, but may increase P values in meta-regression of multiple covariates for relatively small amount of trials. PMID:22587815
ERIC Educational Resources Information Center
Kaur, Berinderjeet; Areepattamannil, Shaljan
2012-01-01
This study, drawing on data from the Programme for International Student Assessment (PISA) 2009, explored the influences of metacognitive and self-regulated learning strategies for reading on mathematical literacy of adolescents in Australia and Singapore. Ordinary least squares (OLS) regression analyses revealed the positive influences of…
ERIC Educational Resources Information Center
Wragg, Regina E.
2013-01-01
This dissertation presents my explorations in both molecular biology and science education research. In study one, we determined the "ADIPOQ" and "ADIPORI" genotypes of 364 White and 148 Black BrCa patients and used dominant model univariate logistic regression analyses to determine individual SNP and haplotype associations…
Stress and Depression among Older Residents in Religious Monasteries: Do Friends and God Matter?
ERIC Educational Resources Information Center
Bishop, Bishop J.
2008-01-01
The purpose of this investigation was to explore how friendship and attachment to God provide protective benefits against stress and depression. Participants included 235 men and women, age 64 and older, residing in religious monasteries affiliated with the Order of St. Benedict. Hierarchical multiple regression analyses were completed to assess…
Acculturative Stress and Gang Involvement among Latinos: U.S.-Born versus Immigrant Youth
ERIC Educational Resources Information Center
Barrett, Alice N.; Kuperminc, Gabriel P.; Lewis, Kelly M.
2013-01-01
Gang involvement is an increasing issue among Latino youth, yet nuanced research on its potential causes is scarce. Quantitative and qualitative data were used to explore links between acculturative stress and gang involvement among immigrant and U.S.-born Latino middle school students (N = 199). Regression analyses showed that U.S.-born youths…
Exploring Person Fit with an Approach Based on Multilevel Logistic Regression
ERIC Educational Resources Information Center
Walker, A. Adrienne; Engelhard, George, Jr.
2015-01-01
The idea that test scores may not be valid representations of what students know, can do, and should learn next is well known. Person fit provides an important aspect of validity evidence. Person fit analyses at the individual student level are not typically conducted and person fit information is not communicated to educational stakeholders. In…
ERIC Educational Resources Information Center
van Rhijn, Tricia M.; Murray, Sarah H.; Mizzi, Robert C.
2015-01-01
Through the use of mixed qualitative and quantitative methods, the current study explored the impact of postsecondary study on the intimate relationships and school experiences of partnered mature students. Quantitative regression analyses indicated that parental status, family support, partner support, and sexual desire significantly predicted…
Gender Expectations and On-Line Evaluations of Teaching: Evidence from RateMyProfessors.com
ERIC Educational Resources Information Center
Stuber, Jenny M.; Watson, Amanda; Carle, Adam; Staggs, Kristin
2009-01-01
Using publicly available data from RateMyProfessors.com, we explore whether an instructor's gender influences how students rate that instructor. Although RateMyProfessors.com may not accurately reflect quality teaching, it provides a unique window into how students construct their classroom experiences. Multiple regression analyses of 500…
Saunders, Christina T; Blume, Jeffrey D
2017-10-26
Mediation analysis explores the degree to which an exposure's effect on an outcome is diverted through a mediating variable. We describe a classical regression framework for conducting mediation analyses in which estimates of causal mediation effects and their variance are obtained from the fit of a single regression model. The vector of changes in exposure pathway coefficients, which we named the essential mediation components (EMCs), is used to estimate standard causal mediation effects. Because these effects are often simple functions of the EMCs, an analytical expression for their model-based variance follows directly. Given this formula, it is instructive to revisit the performance of routinely used variance approximations (e.g., delta method and resampling methods). Requiring the fit of only one model reduces the computation time required for complex mediation analyses and permits the use of a rich suite of regression tools that are not easily implemented on a system of three equations, as would be required in the Baron-Kenny framework. Using data from the BRAIN-ICU study, we provide examples to illustrate the advantages of this framework and compare it with the existing approaches. © The Author 2017. Published by Oxford University Press.
Hanssen, Denise J C; Naarding, Paul; Collard, Rose M; Comijs, Hannie C; Oude Voshaar, Richard C
2014-10-01
Late-life depression and pain more often co-occur than can be explained by chance. Determinants of pain in late-life depression are unknown, even though knowledge on possible determinants of pain in depression is important for clinical practice. Therefore, the objectives of the present study were 1) to describe pain characteristics of depressed older adults and a nondepressed comparison group, and 2) to explore physical, lifestyle, psychological, and social determinants of acute and chronic pain intensity, disability, and multisite pain in depressed older adults. Data from the Netherlands Study of Depression in Older Persons cohort, consisting of 378 depressed persons, diagnosed according to Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria, and 132 nondepressed persons aged 60 years and older, were used in a cross-sectional design. Pain characteristics were measured by the Chronic Graded Pain Scale. Multiple linear regression analyses were performed to explore the contribution of physical, lifestyle, psychological, and social determinants to outcomes pain intensity, disability, and the number of pain locations. Depressed older adults more often reported chronic pain and experienced their pain as more intense and disabling compared to nondepressed older adults. Adjusted for demographic, physical, and lifestyle characteristics, multinomial logistic regression analyses showed increased odds ratios (OR) for depression in acute pain (OR 3.010; P=0.005) and chronic pain (OR 4.544, P<0.001). In addition, linear regression analyses showed that acute and chronic pain intensity, disability, and multisite pain were associated with several biopsychosocial determinants, of which anxiety was most pronounced. Further research could focus on the temporal relationship between anxiety, late-life depression, and pain. Copyright © 2014 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.
Factors Affecting Success in the Professional Entry Exam for Accountants in Brazil
ERIC Educational Resources Information Center
Lima Rodrigues, Lúcia; Pinho, Carlos; Bugarim, Maria Clara; Craig, Russell; Machado, Diego
2018-01-01
This paper explores factors that have affected the success of candidates in the professional entry exam conducted by Brazil's Federal Council of Accounting. We analyse results of 18,948 candidates who sat for the exam in 2012, using a logistic regression model and the key indicators used by government to monitor the performance of higher education…
Teacher Justice and Parent Support as Predictors of Learning Motivation and Visions of a Just World
ERIC Educational Resources Information Center
Berti, Chiara; Mameli, Consuelo; Speltini, Giuseppina; Molinari, Luisa
2016-01-01
In this study we explore teacher justice and parent support in learning motivation and visions of a just world. The study sample was 509 Italian secondary school students, 163 males and 346 females. Regression analyses investigated the impact of teacher justice, parental involvement and factors of school choice (one's interests and parental…
ERIC Educational Resources Information Center
Lilly, Michelle M.; Graham-Bermann, Sandra A.
2009-01-01
The present study uses a feminist theoretical framework to explore risk factors for the development of posttraumatic stress symptoms following intimate partner violence, with a community sample of 120 low-income European American and African American women. Hierarchical regression analyses were used to examine demographic, violence, and mental…
ERIC Educational Resources Information Center
Obasaju, Mayowa A.; Palin, Frances L.; Jacobs, Carli; Anderson, Page; Kaslow, Nadine J.
2009-01-01
An ecological model is used to explore the moderating effects of community-level variables on the relation between childhood sexual, physical, and emotional abuse and adult intimate partner violence (IPV) within a sample of 98 African American women from low incomes. Results from hierarchical, binary logistics regressions analyses show that…
Magnus, Manya; Kuo, Irene; Wang, Lei; Liu, Ting-Yuan; Mayer, Kenneth H.
2014-01-01
Objectives. We examined lifetime incarceration history and its association with key characteristics among 1553 Black men who have sex with men (BMSM) recruited in 6 US cities. Methods. We conducted bivariate analyses of data collected from the HIV Prevention Trials Network 061 study from July 2009 through December 2011 to examine the relationship between incarceration history and demographic and psychosocial variables predating incarceration and multivariate logistic regression analyses to explore the associations between incarceration history and demographic and psychosocial variables found to be significant. We then used multivariate logistic regression models to explore the independent association between incarceration history and 6 outcome variables. Results. After adjusting for confounders, we found that increasing age, transgender identity, heterosexual or straight identity, history of childhood violence, and childhood sexual experience were significantly associated with incarceration history. A history of incarceration was also independently associated with any alcohol and drug use in the past 6 months. Conclusions. The findings highlight an elevated lifetime incarceration history among a geographically diverse sample of BMSM and the need to adequately assess the impact of incarceration among BMSM in the United States. PMID:24432948
Luyckx, Koen; Goossens, Luc; Soenens, Bart; Beyers, Wim
2006-06-01
A model of identity formation comprising four structural dimensions (Commitment Making, Identification with Commitment, Exploration in Depth, and Exploration in Breadth) was developed through confirmatory factor analysis. In a sample of 565 emerging adults, this model provided a better fit than did alternative two- and three-dimensional models, thereby validating the unpacking of both exploration and commitment. Regression analyses indicated that Commitment Making was significantly related to family context in accordance with hypotheses. Identification with Commitment and both exploration dimensions were significantly related to adjustment and family context, again in accordance with hypotheses. Identification with Commitment was positively related to positive adjustment indicators and negatively to depressive symptoms, whereas Exploration in Breadth was positively related to depressive symptoms and substance use. Exploration in Depth, on the other hand, was positively related to academic adjustment and negatively to substance use. Implications and suggestions for future research are discussed.
ERIC Educational Resources Information Center
Bae, Sung Man
2016-01-01
This study explored predictors of adolescent problem behavior utilizing panel data from the National Youth Policy Institute. Data were collected from June 2013 to August 2013 from 3195 middle school students living in 15 cities of South Korea. Data were analysed using hierarchical regression in two steps. The first step included gender and school…
Spirituality and Resilience Among Mexican American IPV Survivors.
de la Rosa, Iván A; Barnett-Queen, Timothy; Messick, Madeline; Gurrola, Maria
2016-12-01
Women with abusive partners use a variety of coping strategies. This study examined the correlation between spirituality, resilience, and intimate partner violence using a cross-sectional survey of 54 Mexican American women living along the U.S.-Mexico border. The meaning-making coping model provides the conceptual framework to explore how spirituality is used as a copying strategy. Multiple ordinary least squares (OLS) regression results indicate women who score higher on spirituality also report greater resilient characteristics. Poisson regression analyses revealed that an increase in level of spirituality is associated with lower number of types of abuse experienced. Clinical, programmatic, and research implications are discussed. © The Author(s) 2015.
Gender differences in body consciousness and substance use among high-risk adolescents.
Black, David Scott; Sussman, Steve; Unger, Jennifer; Pokhrel, Pallav; Sun, Ping
2010-08-01
This study explores the association between private and public body consciousness and past 30-day cigarette, alcohol, marijuana, and hard drug use among adolescents. Self-reported data from alterative high school students in California were analyzed (N = 976) using multilevel regression models to account for student clustering within schools. Separate regression analyses were conducted for males and females. Both cross-sectional baseline data and one-year longitudinal prediction models indicated that body consciousness is associated with specific drug use categories differentially by gender. Findings suggest that body consciousness accounts for additional variance in substance use etiology not explained by previously recognized dispositional variables.
Cortical localization of cognitive function by regression of performance on event-related potentials
NASA Technical Reports Server (NTRS)
Montgomery, R. W.; Montgomery, L. D.; Guisado, R.
1992-01-01
This paper demonstrates a new method of mapping cortical localization of cognitive function, using electroencephalographic data. Cross-subject regression analyses are used to identify cortical sites and post-stimulus latencies where there is a high correlation between subjects' performance and their cognitive event-related potential amplitude. The procedure was tested using a mental arithmetic task and was found to identify essentially the same cortical regions that have been associated with such tasks on the basis of research with patients suffering localized cortical lesions. Thus, it appears to offer an inexpensive, noninvasive tool for exploring the dynamics of localization in neurologically normal subjects.
de Bruijn, Gert-Jan; Kroeze, Willemieke; Oenema, Anke; Brug, Johannes
2008-09-01
The additive and interactive effects of habit strength in the explanation of saturated fat intake were explored within the framework of the Theory of Planned Behaviour (TPB). Cross-sectional data were gathered in a Dutch adult sample (n=764) using self-administered questionnaires and analyzed using hierarchical regression analyses and simple slope analyses. Results showed that habit strength was a significant correlate of fat intake (beta=-0.11) and significantly increased the amount of explained variance in fat intake (R(2-change)=0.01). Furthermore, based on a significant interaction effect (beta=0.11), simple slope analyses revealed that intention was a significant correlate of fat intake for low levels (beta=-0.29) and medium levels (beta=-0.19) of habit strength, but a weaker and non-significant correlate for high levels (beta=-0.07) of habit strength. Higher habit strength may thus make limiting fat intake a non-intentional behaviour. Implications for information and motivation-based interventions are discussed.
Li, Li; Nguyen, Kim-Huong; Comans, Tracy; Scuffham, Paul
2018-04-01
Several utility-based instruments have been applied in cost-utility analysis to assess health state values for people with dementia. Nevertheless, concerns and uncertainty regarding their performance for people with dementia have been raised. To assess the performance of available utility-based instruments for people with dementia by comparing their psychometric properties and to explore factors that cause variations in the reported health state values generated from those instruments by conducting meta-regression analyses. A literature search was conducted and psychometric properties were synthesized to demonstrate the overall performance of each instrument. When available, health state values and variables such as the type of instrument and cognitive impairment levels were extracted from each article. A meta-regression analysis was undertaken and available covariates were included in the models. A total of 64 studies providing preference-based values were identified and included. The EuroQol five-dimension questionnaire demonstrated the best combination of feasibility, reliability, and validity. Meta-regression analyses suggested that significant differences exist between instruments, type of respondents, and mode of administration and the variations in estimated utility values had influences on incremental quality-adjusted life-year calculation. This review finds that the EuroQol five-dimension questionnaire is the most valid utility-based instrument for people with dementia, but should be replaced by others under certain circumstances. Although no utility estimates were reported in the article, the meta-regression analyses that examined variations in utility estimates produced by different instruments impact on cost-utility analysis, potentially altering the decision-making process in some circumstances. Copyright © 2018 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Kayes, Nicola M; McPherson, Kathryn M; Schluter, Philip; Taylor, Denise; Leete, Marta; Kolt, Gregory S
2011-01-01
To explore the relationship that cognitive behavioural and other previously identified variables have with physical activity engagement in people with multiple sclerosis (MS). This study adopted a cross-sectional questionnaire design. Participants were 282 individuals with MS. Outcome measures included the Physical Activity Disability Survey--Revised, Cognitive and Behavioural Responses to Symptoms Questionnaire, Barriers to Health Promoting Activities for Disabled Persons Scale, Multiple Sclerosis Self-efficacy Scale, Self-Efficacy for Chronic Diseases Scales and Chalder Fatigue Questionnaire. Multivariable stepwise regression analyses found that greater self-efficacy, greater reported mental fatigue and lower number of perceived barriers to physical activity accounted for a significant proportion of variance in physical activity behaviour, over that accounted for by illness-related variables. Although fear-avoidance beliefs accounted for a significant proportion of variance in the initial analyses, its effect was explained by other factors in the final multivariable analyses. Self-efficacy, mental fatigue and perceived barriers to physical activity are potentially modifiable variables which could be incorporated into interventions designed to improve physical activity engagement. Future research should explore whether a measurement tool tailored to capture beliefs about physical activity identified by people with MS would better predict participation in physical activity.
Time series regression model for infectious disease and weather.
Imai, Chisato; Armstrong, Ben; Chalabi, Zaid; Mangtani, Punam; Hashizume, Masahiro
2015-10-01
Time series regression has been developed and long used to evaluate the short-term associations of air pollution and weather with mortality or morbidity of non-infectious diseases. The application of the regression approaches from this tradition to infectious diseases, however, is less well explored and raises some new issues. We discuss and present potential solutions for five issues often arising in such analyses: changes in immune population, strong autocorrelations, a wide range of plausible lag structures and association patterns, seasonality adjustments, and large overdispersion. The potential approaches are illustrated with datasets of cholera cases and rainfall from Bangladesh and influenza and temperature in Tokyo. Though this article focuses on the application of the traditional time series regression to infectious diseases and weather factors, we also briefly introduce alternative approaches, including mathematical modeling, wavelet analysis, and autoregressive integrated moving average (ARIMA) models. Modifications proposed to standard time series regression practice include using sums of past cases as proxies for the immune population, and using the logarithm of lagged disease counts to control autocorrelation due to true contagion, both of which are motivated from "susceptible-infectious-recovered" (SIR) models. The complexity of lag structures and association patterns can often be informed by biological mechanisms and explored by using distributed lag non-linear models. For overdispersed models, alternative distribution models such as quasi-Poisson and negative binomial should be considered. Time series regression can be used to investigate dependence of infectious diseases on weather, but may need modifying to allow for features specific to this context. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.
Nilsson, Johanna; Axelsson, Östen
2015-08-01
Aesthetic quality is central to textile conservators when evaluating a conservation method. However, the literature on textile conservation chiefly focuses on physical properties, and little is known about what factors determine aesthetic quality according to textile conservators. The latter was explored through two experiments. Experiment 1 explored the underlying attributes of aesthetic quality of textile conservation interventions. Experiment 2 explored the relationships between these attributes and how well they predicted aesthetic quality. Rank-order correlation analyses revealed two latent factors called Coherence and Completeness. Ordinal regression analysis revealed that Coherence was the most important predictor of aesthetic quality. This means that a successful conservation intervention is visually well-integrated with the textile item in terms of the material and method.
Exploring Mexican American adolescent romantic relationship profiles and adjustment
Moosmann, Danyel A.V.; Roosa, Mark W.
2015-01-01
Although Mexican Americans are the largest ethnic minority group in the nation, knowledge is limited regarding this population's adolescent romantic relationships. This study explored whether 12th grade Mexican Americans’ (N = 218; 54% female) romantic relationship characteristics, cultural values, and gender created unique latent classes and if so, whether they were linked to adjustment. Latent class analyses suggested three profiles including, relatively speaking, higher, satisfactory, and lower quality romantic relationships. Regression analyses indicated these profiles had distinct associations with adjustment. Specifically, adolescents with higher and satisfactory quality romantic relationships reported greater future family expectations, higher self-esteem, and fewer externalizing symptoms than those with lower quality romantic relationships. Similarly, adolescents with higher quality romantic relationships reported greater academic self-efficacy and fewer sexual partners than those with lower quality romantic relationships. Overall, results suggested higher quality romantic relationships were most optimal for adjustment. Future research directions and implications are discussed. PMID:26141198
Erath, Stephen A.; Bierman, Karen L.
2009-01-01
Direct associations between aggressive marital conflict and child aggressive-disruptive behavior at home and school were explored in this cross-sectional study of 360 kindergarten children. In addition, mediated pathways linking aggressive marital conflict to maternal harsh punishment to child aggressive-disruptive behavior were examined. Moderation analyses explored how the overall frequency of marital disagreement might buffer or exacerbate the impact of aggressive marital conflict on maternal harsh punishment and child aggressive-disruptive behavior. Hierarchical regressions revealed direct pathways linking aggressive marital conflict to child aggressive-disruptive behavior at home and school and a partially mediated pathway linking aggressive marital conflict to child aggressive-disruptive behavior at home. Further analyses revealed that rates of marital disagreement moderated the association between aggressive marital conflict and child aggressive-disruptive behavior at home, with an attenuated association at high rates of marital disagreement as compared with low rates of marital disagreement. PMID:16756397
Association Between Socio-Demographic Background and Self-Esteem of University Students.
Haq, Muhammad Ahsan Ul
2016-12-01
The purpose of this study was to scrutinize self-esteem of university students and explore association of self-esteem with academic achievement, gender and other factors. A sample of 346 students was selected from Punjab University, Lahore Pakistan. Rosenberg self-esteem scale with demographic variables was used for data collection. Besides descriptive statistics, binary logistic regression and t test were used for analysing the data. Significant gender difference was observed, self-esteem was significantly higher in males than females. Logistic regression indicates that age, medium of instruction, family income, student monthly expenditures, GPA and area of residence has direct effect on self-esteem; while number of siblings showed an inverse effect.
Sociological and economic theories of suicide: a comparison of the U.S.A. and Taiwan.
Yang, B; Lester, D; Yang, C H
1992-02-01
Time-series analyses were carried out to explore the importance of sociological and economic variables in accounting for the suicide rate in the U.S.A. and in Taiwan for 1952-1984. Sociological variables (divorce and female labor force participation) played similar roles in the multiple regressions for both nations while economic variables (GNP per capita/growth and unemployment) played a role only in the U.S.A.
Tran, Alisia G T T; Sangalang, Cindy C
2016-01-01
This study aims to understand the relations between experiences of racial/ethnic discrimination, perceptions of the harmful or helpful effects of one's Asian American race/ethnicity within educational and occupational contexts (perceived functional effects), and well-being (i.e., satisfaction with life). A primary focus was to evaluate whether the association between racial/ethnic discrimination and satisfaction with life varied based on the degree to which Asian Americans believe that their race or ethnicity is helpful or harmful to educational and occupational functioning. This study draws on nationally representative data from ethnically diverse Asian American adults (N = 3,335) and utilizes weighted descriptive, correlational, and logistic regression moderation analyses. Ethnic variations emerged across analyses. Logistic regression analyses revealed a significant moderation effect for Chinese and Filipino Americans. Follow-up analyses revealed a protective effect of perceiving more positive or helpful functional effects in nullifying the link between discrimination and dissatisfaction with life for Chinese Americans. By contrast, viewing more harmful functional effects had a buffering effect for Filipino Americans. Results have implications for conceptualizing the potential impact of perspectives that imply Asian American advantage or disadvantage. Opportunities to apply and extend these initial findings are discussed. (c) 2016 APA, all rights reserved).
Predictors of attachment security in preschool children from intact and divorced families.
Nair, Hira; Murray, Ann D
2005-09-01
The authors selected 58 mother-child dyads from divorced and intact families to participate in a study on the impact of divorce on preschoolers' attachment security. The authors explored pathways that lead to security of attachment. They found that mothers from divorced families were younger, had lower income levels, and had lower levels of education compared with their intact counterparts. Divorced mothers also reported significantly higher levels of stress, depression, need for social support, and conflict with their spouses. Mothers from intact families were more likely to use positive (authoritative) parenting styles compared with divorced mothers. Children in the divorced group had lower security scores on the Attachment Q-Set instrument (E. Waters, 1995). Regression analyses indicated that parenting style made a direct (independent) contribution to attachment security. In addition, temperament was related to attachment security, but temperament did not diminish the association of parenting style with attachment security. Furthermore, regression analyses indicated that the relationship of divorce to attachment security was mediated by parenting style.
Oguri, Tomoko; Yoshinaga, Jun; Toshima, Hiroki; Mizumoto, Yoshifumi; Hatakeyama, Shota; Tokuoka, Susumu
2016-01-01
Inorganic arsenic (iAs) has been known as a testicular toxicant in experimental rodents. Possible association between iAs exposure and semen quality (semen volume, sperm concentration, and sperm motility) was explored in male partners of couples (n = 42) who visited a gynecology clinic in Tokyo for infertility consultation. Semen parameters were measured according to WHO guideline at the clinic, and urinary iAs and methylarsonic acid (MMA), and dimethylarsinic acid concentrations were determined by liquid chromatography-hydride generation-ICP mass spectrometry. Biological attributes, dietary habits, and exposure levels to other chemicals with known effects on semen parameters were taken into consideration as covariates. Multiple regression analyses and logistic regression analyses did not find iAs exposure as significant contributor to semen parameters. Lower exposure level of subjects (estimated to be 0.5 μg kg(-1) day(-1)) was considered a reason of the absence of adverse effects on semen parameters, which were seen in rodents dosed with 4-7.5 mg kg(-1).
Rondon, Ana T; Hilton, Dane C; Jarrett, Matthew A; Ollendick, Thomas H
2018-02-01
We compared clinic-referred youth with ADHD + sluggish cognitive tempo (SCT; n = 34), ADHD Only ( n = 108), and SCT Only ( n = 22) on demographics, co-occurring symptomatology, comorbid diagnoses, and social functioning. In total, 164 youth (age = 6-17 years, M = 9.97) and their parent(s) presented to an outpatient clinic for a psychoeducational assessment. Between-group analyses and regressions were used to examine study variables. SCT groups were older and exhibited more parent-reported internalizing problems, externalizing problems, sleep problems, and social withdrawal on the Child Behavior Checklist. No significant differences emerged between groups on the Teacher Report Form. Regression analyses involving multiple covariates revealed that SCT symptoms were uniquely related to social withdrawal but not general social problems. Based on parent report, SCT symptoms have a unique relationship with internalizing problems, sleep problems, and social withdrawal. Future research should explore correlates of SCT in youth using multiple informants.
Association between regression and self injury among children with autism.
Lance, Eboni I; York, Janet M; Lee, Li-Ching; Zimmerman, Andrew W
2014-02-01
Self injurious behaviors (SIBs) are challenging clinical problems in individuals with autism spectrum disorders (ASDs). This study is one of the first and largest to utilize inpatient data to examine the associations between autism, developmental regression, and SIBs. Medical records of 125 neurobehavioral hospitalized patients with diagnoses of ASDs and SIBs between 4 and 17 years of age were reviewed. Data were collected from medical records on the type and frequency of SIBs and a history of language, social, or behavioral regression during development. The children with a history of any type of developmental regression (social, behavioral, or language) were more likely to have a diagnosis of autistic disorder than other ASD diagnoses. There were no significant differences in the occurrence of self injurious or other problem behaviors (such as aggression or disruption) between children with and without regression. Regression may influence the diagnostic considerations in ASDs but does not seem to influence the clinical phenotype with regard to behavioral issues. Additional data analyses explored the frequencies and subtypes of SIBs and other medical diagnoses in ASDs, with intellectual disability and disruptive behavior disorder found most commonly. Copyright © 2013 Elsevier Ltd. All rights reserved.
Marital status integration and suicide: A meta-analysis and meta-regression.
Kyung-Sook, Woo; SangSoo, Shin; Sangjin, Shin; Young-Jeon, Shin
2018-01-01
Marital status is an index of the phenomenon of social integration within social structures and has long been identified as an important predictor suicide. However, previous meta-analyses have focused only on a particular marital status, or not sufficiently explored moderators. A meta-analysis of observational studies was conducted to explore the relationships between marital status and suicide and to understand the important moderating factors in this association. Electronic databases were searched to identify studies conducted between January 1, 2000 and June 30, 2016. We performed a meta-analysis, subgroup analysis, and meta-regression of 170 suicide risk estimates from 36 publications. Using random effects model with adjustment for covariates, the study found that the suicide risk for non-married versus married was OR = 1.92 (95% CI: 1.75-2.12). The suicide risk was higher for non-married individuals aged <65 years than for those aged ≥65 years, and higher for men than for women. According to the results of stratified analysis by gender, non-married men exhibited a greater risk of suicide than their married counterparts in all sub-analyses, but women aged 65 years or older showed no significant association between marital status and suicide. The suicide risk in divorced individuals was higher than for non-married individuals in both men and women. The meta-regression showed that gender, age, and sample size affected between-study variation. The results of the study indicated that non-married individuals have an aggregate higher suicide risk than married ones. In addition, gender and age were confirmed as important moderating factors in the relationship between marital status and suicide. Copyright © 2017 Elsevier Ltd. All rights reserved.
Guan, Ming
2017-11-07
The rampant urbanization and medical marketization in China have resulted in increased vulnerabilities to health and socioeconomic disparities among the rural migrant workers in urban China. In the Chinese context, the socioeconomic characteristics of rural migrant workers have attracted considerable research attention in the recent past years. However, to date, no previous studies have explored the association between the socioeconomic factors and social security among the rural migrant workers in urban China. This study aims to explore the association between socioeconomic inequity and social security inequity and the subsequent associations with medical inequity and reimbursement rejection. Data from a regionally representative sample of 2009 Survey of Migrant Workers in Pearl River Delta in China were used for analyses. Multiple logistic regressions were used to analyze the impacts of socioeconomic factors on the eight dimensions of social security (sick pay, paid leave, maternity pay, medical insurance, pension insurance, occupational injury insurance, unemployment insurance, and maternity insurance) and the impacts of social security on medical reimbursement rejection. The zero-inflated negative binomial regression model (ZINB regression) was adopted to explore the relationship between socioeconomic factors and hospital visits among the rural migrant workers with social security. The study population consisted of 848 rural migrant workers with high income who were young and middle-aged, low-educated, and covered by social security. Reimbursement rejection and abusive supervision for the rural migrant workers were observed. Logistic regression analysis showed that there were significant associations between socioeconomic factors and social security. ZINB regression showed that there were significant associations between socioeconomic factors and hospital visits among the rural migrant workers. Also, several dimensions of social security had significant associations with reimbursement rejections. This study showed that social security inequity, medical inequity, and reimbursement inequity happened to the rural migrant workers simultaneously. Future policy should strengthen health justice and enterprises' medical responsibilities to the employed rural migrant workers.
Brabant, Marie-Eve; Hébert, Martine; Chagnon, François
2013-01-01
This study explored the clinical profiles of 77 female teenager survivors of sexual abuse and examined the association of abuse-related and personal variables with suicidal ideations. Analyses revealed that 64% of participants experienced suicidal ideations. Findings from classification and regression tree analysis indicated that depression, posttraumatic stress symptoms, and hopelessness discriminated profiles of suicidal and nonsuicidal survivors. The elevated prevalence of suicidal ideations among adolescent survivors of sexual abuse underscores the importance of investigating the presence of suicidal ideations in sexual abuse survivors. However, suicidal ideation is not the sole variable that needs to be investigated; depression, hopelessness and posttraumatic stress symptoms are also related to suicidal ideations in survivors and could therefore guide interventions.
The relationship between severity of violence in the home and dating violence.
Sims, Eva Nowakowski; Dodd, Virginia J Noland; Tejeda, Manuel J
2008-01-01
This study used propositions from the social learning theory to explore the effects of the combined influences of child maltreatment, childhood witness to parental violence, sibling violence, and gender on dating violence perpetration using a modified version of the Conflict Tactics Scale 2 (CTS2). A weighted scoring method was utilized to determine how severity of violence in the home impacts dating violence perpetration. Bivariate correlations and linear regression models indicate significant associations between child maltreatment, sibling violence perpetration, childhood witness to parental violence, gender, and subsequent dating violence perpetration. Multiple regression analyses indicate that for men, history of severe violence victimization (i.e., child maltreatment and childhood witness to parental violence) and severe perpetration (sibling violence) significantly predict dating violence perpetration.
Xie, Heping; Wang, Fuxing; Hao, Yanbin; Chen, Jiaxue; An, Jing; Wang, Yuxin; Liu, Huashan
2017-01-01
Cueing facilitates retention and transfer of multimedia learning. From the perspective of cognitive load theory (CLT), cueing has a positive effect on learning outcomes because of the reduction in total cognitive load and avoidance of cognitive overload. However, this has not been systematically evaluated. Moreover, what remains ambiguous is the direct relationship between the cue-related cognitive load and learning outcomes. A meta-analysis and two subsequent meta-regression analyses were conducted to explore these issues. Subjective total cognitive load (SCL) and scores on a retention test and transfer test were selected as dependent variables. Through a systematic literature search, 32 eligible articles encompassing 3,597 participants were included in the SCL-related meta-analysis. Among them, 25 articles containing 2,910 participants were included in the retention-related meta-analysis and the following retention-related meta-regression, while there were 29 articles containing 3,204 participants included in the transfer-related meta-analysis and the transfer-related meta-regression. The meta-analysis revealed a statistically significant cueing effect on subjective ratings of cognitive load (d = -0.11, 95% CI = [-0.19, -0.02], p < 0.05), retention performance (d = 0.27, 95% CI = [0.08, 0.46], p < 0.01), and transfer performance (d = 0.34, 95% CI = [0.12, 0.56], p < 0.01). The subsequent meta-regression analyses showed that dSCL for cueing significantly predicted dretention for cueing (β = -0.70, 95% CI = [-1.02, -0.38], p < 0.001), as well as dtransfer for cueing (β = -0.60, 95% CI = [-0.92, -0.28], p < 0.001). Thus in line with CLT, adding cues in multimedia materials can indeed reduce SCL and promote learning outcomes, and the more SCL is reduced by cues, the better retention and transfer of multimedia learning.
Hao, Yanbin; Chen, Jiaxue; An, Jing; Wang, Yuxin; Liu, Huashan
2017-01-01
Cueing facilitates retention and transfer of multimedia learning. From the perspective of cognitive load theory (CLT), cueing has a positive effect on learning outcomes because of the reduction in total cognitive load and avoidance of cognitive overload. However, this has not been systematically evaluated. Moreover, what remains ambiguous is the direct relationship between the cue-related cognitive load and learning outcomes. A meta-analysis and two subsequent meta-regression analyses were conducted to explore these issues. Subjective total cognitive load (SCL) and scores on a retention test and transfer test were selected as dependent variables. Through a systematic literature search, 32 eligible articles encompassing 3,597 participants were included in the SCL-related meta-analysis. Among them, 25 articles containing 2,910 participants were included in the retention-related meta-analysis and the following retention-related meta-regression, while there were 29 articles containing 3,204 participants included in the transfer-related meta-analysis and the transfer-related meta-regression. The meta-analysis revealed a statistically significant cueing effect on subjective ratings of cognitive load (d = −0.11, 95% CI = [−0.19, −0.02], p < 0.05), retention performance (d = 0.27, 95% CI = [0.08, 0.46], p < 0.01), and transfer performance (d = 0.34, 95% CI = [0.12, 0.56], p < 0.01). The subsequent meta-regression analyses showed that dSCL for cueing significantly predicted dretention for cueing (β = −0.70, 95% CI = [−1.02, −0.38], p < 0.001), as well as dtransfer for cueing (β = −0.60, 95% CI = [−0.92, −0.28], p < 0.001). Thus in line with CLT, adding cues in multimedia materials can indeed reduce SCL and promote learning outcomes, and the more SCL is reduced by cues, the better retention and transfer of multimedia learning. PMID:28854205
Morfeld, Peter; Spallek, Michael
2015-01-01
Vermeulen et al. 2014 published a meta-regression analysis of three relevant epidemiological US studies (Steenland et al. 1998, Garshick et al. 2012, Silverman et al. 2012) that estimated the association between occupational diesel engine exhaust (DEE) exposure and lung cancer mortality. The DEE exposure was measured as cumulative exposure to estimated respirable elemental carbon in μg/m(3)-years. Vermeulen et al. 2014 found a statistically significant dose-response association and described elevated lung cancer risks even at very low exposures. We performed an extended re-analysis using different modelling approaches (fixed and random effects regression analyses, Greenland/Longnecker method) and explored the impact of varying input data (modified coefficients of Garshick et al. 2012, results from Crump et al. 2015 replacing Silverman et al. 2012, modified analysis of Moehner et al. 2013). We reproduced the individual and main meta-analytical results of Vermeulen et al. 2014. However, our analysis demonstrated a heterogeneity of the baseline relative risk levels between the three studies. This heterogeneity was reduced after the coefficients of Garshick et al. 2012 were modified while the dose coefficient dropped by an order of magnitude for this study and was far from being significant (P = 0.6). A (non-significant) threshold estimate for the cumulative DEE exposure was found at 150 μg/m(3)-years when extending the meta-analyses of the three studies by hockey-stick regression modelling (including the modified coefficients for Garshick et al. 2012). The data used by Vermeulen and colleagues led to the highest relative risk estimate across all sensitivity analyses performed. The lowest relative risk estimate was found after exclusion of the explorative study by Steenland et al. 1998 in a meta-regression analysis of Garshick et al. 2012 (modified), Silverman et al. 2012 (modified according to Crump et al. 2015) and Möhner et al. 2013. The meta-coefficient was estimated to be about 10-20 % of the main effect estimate in Vermeulen et al. 2014 in this analysis. The findings of Vermeulen et al. 2014 should not be used without reservations in any risk assessments. This is particularly true for the low end of the exposure scale.
Hyde, Melissa K; Knowles, Simon R; White, Katherine M
2013-12-01
Due to the critical shortage and continued need of blood and organ donations (ODs), research exploring similarities and differences in the motivational determinants of these behaviors is needed. In a sample of 258 university students, we used a cross-sectional design to test the utility of an extended theory of planned behavior (TPB) including moral norm, self-identity and in-group altruism (family/close friends and ethnic group), to predict people's blood and OD intentions. Overall, the extended TPB explained 77.0% and 74.6% of variance in blood and OD intentions, respectively. In regression analyses, common contributors to intentions across donation contexts were attitude, self-efficacy and self-identity. Normative influences varied with subjective norm as a significant predictor related to OD intentions but not blood donation intentions at the final step of regression analyses. Moral norm did not contribute significantly to blood or OD intentions. In-group altruism (family/close friends) was significantly related to OD intentions only in regressions. Future donation strategies should increase confidence to donate, foster a perception of self as the type of person who donates blood and/or organs, and address preferences to donate organs to in-group members only.
Jansson, Bruce S; Nyamathi, Adeline; Heidemann, Gretchen; Duan, Lei; Kaplan, Charles
2015-01-01
Although literature documents the need for hospital social workers, nurses, and medical residents to engage in patient advocacy, little information exists about what predicts the extent they do so. This study aims to identify predictors of health professionals' patient advocacy engagement with respect to a broad range of patients' problems. A cross-sectional research design was employed with a sample of 94 social workers, 97 nurses, and 104 medical residents recruited from eight hospitals in Los Angeles. Bivariate correlations explored whether seven scales (Patient Advocacy Eagerness, Ethical Commitment, Skills, Tangible Support, Organizational Receptivity, Belief Other Professionals Engage, and Belief the Hospital Empowers Patients) were associated with patient advocacy engagement, measured by the validated Patient Advocacy Engagement Scale. Regression analysis examined whether these scales, when controlling for sociodemographic and setting variables, predicted patient advocacy engagement. While all seven predictor scales were significantly associated with patient advocacy engagement in correlational analyses, only Eagerness, Skills, and Belief the Hospital Empowers Patients predicted patient advocacy engagement in regression analyses. Additionally, younger professionals engaged in higher levels of patient advocacy than older professionals, and social workers engaged in greater patient advocacy than nurses. Limitations and the utility of these findings for acute-care hospitals are discussed.
Visscher, Corine M; van Wesemael-Suijkerbuijk, Erin A; Lobbezoo, Frank
2016-10-01
The aim of this study was to explore the association between the presence of comorbidities and the pain experience in individual patients with temporomandibular disorder (TMD). This clinical trial comprised 112 patients with TMD pain. For all participants the presence of the following comorbid factors was assessed: pain in the neck; somatization; impaired sleep; and depression. Pain experience was evaluated using the McGill Pain Questionnaire (MPQ). For each subject the TMD-pain experience was assessed for three dimensions - sensory, affective, and evaluative - as specified in the MPQ. The association between comorbid factors and these three dimensions of TMD-pain experience was then evaluated using linear regression models. Univariable regression analyses showed that all comorbid factors, except for one factor, were positively associated with the level of pain, as rated by the sensory description of pain, the affective component of pain, and the evaluative experience of pain. The multivariable regression analyses showed that for all MPQ dimensions, depression showed the strongest associations with pain experience. It was found that in the presence of comorbid disorders, patients with TMD experience elevated levels of TMD pain. This information should be taken into consideration in the diagnostic process, as well as in the choice of treatment. © 2016 Eur J Oral Sci.
Erdogan, Saffet
2009-10-01
The aim of the study is to describe the inter-province differences in traffic accidents and mortality on roads of Turkey. Two different risk indicators were used to evaluate the road safety performance of the provinces in Turkey. These indicators are the ratios between the number of persons killed in road traffic accidents (1) and the number of accidents (2) (nominators) and their exposure to traffic risk (denominator). Population and the number of registered motor vehicles in the provinces were used as denominators individually. Spatial analyses were performed to the mean annual rate of deaths and to the number of fatal accidents that were calculated for the period of 2001-2006. Empirical Bayes smoothing was used to remove background noise from the raw death and accident rates because of the sparsely populated provinces and small number of accident and death rates of provinces. Global and local spatial autocorrelation analyses were performed to show whether the provinces with high rates of deaths-accidents show clustering or are located closer by chance. The spatial distribution of provinces with high rates of deaths and accidents was nonrandom and detected as clustered with significance of P<0.05 with spatial autocorrelation analyses. Regions with high concentration of fatal accidents and deaths were located in the provinces that contain the roads connecting the Istanbul, Ankara, and Antalya provinces. Accident and death rates were also modeled with some independent variables such as number of motor vehicles, length of roads, and so forth using geographically weighted regression analysis with forward step-wise elimination. The level of statistical significance was taken as P<0.05. Large differences were found between the rates of deaths and accidents according to denominators in the provinces. The geographically weighted regression analyses did significantly better predictions for both accident rates and death rates than did ordinary least regressions, as indicated by adjusted R(2) values. Geographically weighted regression provided values of 0.89-0.99 adjusted R(2) for death and accident rates, compared with 0.88-0.95, respectively, by ordinary least regressions. Geographically weighted regression has the potential to reveal local patterns in the spatial distribution of rates, which would be ignored by the ordinary least regression approach. The application of spatial analysis and modeling of accident statistics and death rates at provincial level in Turkey will help to identification of provinces with outstandingly high accident and death rates. This could help more efficient road safety management in Turkey.
Teng, Ju-Hsi; Lin, Kuan-Chia; Ho, Bin-Shenq
2007-10-01
A community-based aboriginal study was conducted and analysed to explore the application of classification tree and logistic regression. A total of 1066 aboriginal residents in Yilan County were screened during 2003-2004. The independent variables include demographic characteristics, physical examinations, geographic location, health behaviours, dietary habits and family hereditary diseases history. Risk factors of cardiovascular diseases were selected as the dependent variables in further analysis. The completion rate for heath interview is 88.9%. The classification tree results find that if body mass index is higher than 25.72 kg m(-2) and the age is above 51 years, the predicted probability for number of cardiovascular risk factors > or =3 is 73.6% and the population is 322. If body mass index is higher than 26.35 kg m(-2) and geographical latitude of the village is lower than 24 degrees 22.8', the predicted probability for number of cardiovascular risk factors > or =4 is 60.8% and the population is 74. As the logistic regression results indicate that body mass index, drinking habit and menopause are the top three significant independent variables. The classification tree model specifically shows the discrimination paths and interactions between the risk groups. The logistic regression model presents and analyses the statistical independent factors of cardiovascular risks. Applying both models to specific situations will provide a different angle for the design and management of future health intervention plans after community-based study.
Subica, Andrew M; Douglas, Jason A; Kepple, Nancy J; Villanueva, Sandra; Grills, Cheryl T
2018-03-01
Tobacco shops, medical marijuana dispensaries (MMD), and off-sale alcohol outlets are legal and prevalent in South Los Angeles, California-a high-crime, low-income urban community of color. This research is the first to explore the geographic associations between these three legal drug outlets with surrounding crime and violence in a large low-income urban community of color. First, spatial buffer analyses were performed using point-location and publically accessible January-December 2014 crime data to examine the geography of all felony property and violent crimes occurring within 100, 200, 500, and 1000-foot buffers of these three legal drug outlet types across South Los Angeles. Next, spatial regression analyses explored the geographic associations between density of these outlets and property and violent crimes at the census tract level. Results indicated that mean property and violent crime rates within 100-foot buffers of tobacco shops and alcohol outlets-but not MMDs-substantially exceeded community-wide mean crime rates and rates around grocery/convenience stores (i.e., comparison properties licensed to sell both alcohol and tobacco). Spatial regression analyses confirmed that tobacco shops significantly positively associated with property and violent crimes after controlling for key neighborhood factors (poverty, renters, resident mobility, ethnic/racial heterogeneity). Thus, study findings provide the first empirical evidence that tobacco shops may constitute public health threats that associate with crime and violence in U.S. low-income urban communities of color. Implementing and enforcing control policies that regulate and monitor tobacco shops in these communities may promote community health by improving public safety. Copyright © 2017 Elsevier Inc. All rights reserved.
Exploratory Analysis of Exercise Adherence Patterns with Sedentary Pregnant Women
Yeo, SeonAe; Cisewski, Jessi; Lock, Eric F.; Marron, J. S.
2010-01-01
Background It is not well understood how sedentary women who wish to engage in regular exercise adhere to interventions during pregnancy and what factors may influence adherence over time. Objective To examine longitudinal patterns of pregnant women’s adherence to exercise. Methods Exploratory secondary data analyses were carried out with 124 previously sedentary pregnant women (ages 31 ± 5 years; 85% non-Hispanic White) from a randomized controlled trial. Daily exercise logs (n = 92) from 18 through 35 weeks of gestation were explored using linear regression, functional data, and principal component analyses. Results Adherence decreased as gestation week increased (p < .001); the top adherers maintained levels of adherence, and the bottom adherers decreased levels of adherence; and adherence pattern was influenced by types of exercise throughout the study period. Discussion Exercise behavior patterns were explored in a randomized controlled trial study, using chronometric data on exercise attendance. A new analytic approach revealed that sedentary pregnant women may adopt exercise habits differently from other populations. PMID:20585224
Matsunaga, Masaki; Hecht, Michael L.; Elek, Elvira; Ndiaye, Khadidiatou
2010-01-01
Utilizing part of the survey data collected for a National Institute on Drug Abuse (NIDA)–funded project from 29 public elementary schools in Phoenix, Arizona (N = 1,600), this study explored the underlying structure of Mexican-heritage youths’ ethnic identity and cultural/linguistic orientation. Latent profile and transition analyses identified four distinct orientation profiles endorsed by the early adolescents and their developmental trends across four time points. Most Mexican and Mexican American adolescents endorsed bicultural profiles with developmental trends characterized by widespread stasis and transitions toward greater ethnic identity exploration. Multinominal logistic regression analyses revealed associations between profile endorsement and adolescents’ gender, socioeconomic status, parents’ birthplace, and visits outside the United States. These findings are discussed in regard to previous findings on acculturation and ethnic identity development. Individuals’ adaptation to the immediate local environment is noted as a possible cause of prevalent biculturalism. Limitations and future directions for the research on ethnic identity development and acculturation are also discussed. PMID:20740051
Rong, Hu; Nianhua, Xie; Jun, Xu; Lianguo, Ruan; Si, Wu; Sheng, Wei; Heng, Guo; Xia, Wang
2017-12-01
We aimed to explore the prevalence of and risk factors for depressive symptoms (DS) among people living with HIV/AIDS (PLWHA) receiving antiretroviral treatment (ART) in Wuhan, Hubei, China. A cross-sectional study evaluating adult PLWHA receiving ART in nine designated clinical hospitals was conducted from October to December 2015. The validated Beck Depression Inventory (BDI) was used to assess DS in eligible participants. Socio-demographical, epidemiological and clinical data were directly extracted from the case reporting database of the China HIV/AIDS Information Network. Multinomial regression analysis was used to explore the risk factors for DS. 394 participants were finally included in all analyses. 40.3% were found to have DS with 13.7% having mild DS and 26.6% having moderate to severe DS. The results of multinomial regression analysis suggested that being married or living with a partner, recent experience of ART-related side effects, and/or history of HCV infection were positively associated with mild DS, while increasing age was positively associated with moderate to severe DS.
Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.
Faul, Franz; Erdfelder, Edgar; Buchner, Axel; Lang, Albert-Georg
2009-11-01
G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
Baqué, Michèle; Amendt, Jens
2013-01-01
Developmental data of juvenile blow flies (Diptera: Calliphoridae) are typically used to calculate the age of immature stages found on or around a corpse and thus to estimate a minimum post-mortem interval (PMI(min)). However, many of those data sets don't take into account that immature blow flies grow in a non-linear fashion. Linear models do not supply a sufficient reliability on age estimates and may even lead to an erroneous determination of the PMI(min). According to the Daubert standard and the need for improvements in forensic science, new statistic tools like smoothing methods and mixed models allow the modelling of non-linear relationships and expand the field of statistical analyses. The present study introduces into the background and application of these statistical techniques by analysing a model which describes the development of the forensically important blow fly Calliphora vicina at different temperatures. The comparison of three statistical methods (linear regression, generalised additive modelling and generalised additive mixed modelling) clearly demonstrates that only the latter provided regression parameters that reflect the data adequately. We focus explicitly on both the exploration of the data--to assure their quality and to show the importance of checking it carefully prior to conducting the statistical tests--and the validation of the resulting models. Hence, we present a common method for evaluating and testing forensic entomological data sets by using for the first time generalised additive mixed models.
An exploration of the relationship between youth assets and engagement in risky sexual behaviors.
Evans, Alexandra E; Sanderson, Maureen; Griffin, Sarah F; Reininger, Belinda; Vincent, Murray L; Parra-Medina, Debra; Valois, Robert F; Taylor, Doug
2004-11-01
To examine the relationship between specific youth assets and adolescents' engagement in risky sexual behaviors, as measured by an Aggregate Sexual Risk score, and to specifically explore which youth assets and demographic variables were predictive of youth engagement in risky sexual intercourse. A total of 2108 sexually active high school students attending public high schools in a southern state completed a self-report questionnaire that measured youth assets. Based upon responses to items measuring risk behaviors, an Aggregate Sexual Risk score was calculated for each student. Unconditional logistic regression and multivariate logistic regression analyses were conducted to examine the relationships between the assets and the Aggregate Risk Score. Four separate analyses (white females, white males, black females, and black males) were conducted. In general, the patterns in all four groups indicated that students who had an Aggregate Risk Score of > or = 3 (high risk) possessed less of the measured youth assets. The assets that were most significantly associated with engagement in risky sexual behaviors included self peer values regarding risky behaviors, quantity of other adult support, and youths' empathetic relationships. Thus, students who reported not having these assets were significantly more likely to engage in the risky sexual behaviors. Results underscore the relationship of specific youth assets to sexual risk behaviors. Health researcher and practitioners who work to prevent teen pregnancy and sexually transmitted infections among teenagers need to understand and acknowledge these factors within this population so that the assets can be built or strengthened.
Hopelessness among adults with congenital heart disease: Cause for despair or hope?
Eslami, Bahareh; Kovacs, Adrienne H; Moons, Philip; Abbasi, Kyomars; Jackson, Jamie L
2017-03-01
Adults with congenital heart disease (CHD) face unique life courses and challenges that may negatively influence their psychological functioning. The aims of this study were to (1) examine the level of hopelessness among adults with CHD in comparison with non-CHD participants and (2) identify correlates of elevated hopelessness among adults with CHD. We enrolled 347 patients with CHD (18-64years, 52.2% female) and 353 matched (by sex/age) non-CHD persons in this cross-sectional study. Hopelessness was assessed by Beck Hopelessness Scale. Hierarchical multiple logistic regression analyses were performed to explore correlates of elevated hopelessness. The mean total hopelessness score did not significantly differ between the CHD and non-CHD groups. Twenty-eight percent of CHD patients had elevated hopelessness scores. Within the CHD patient sample, regression analyses revealed that being male (odds ratio=2.62), not having children (odds ratio=3.57), being unemployed (odds ratio=2.27), and elevated depressive symptoms (odds ratio=1.21) were significantly associated with hopelessness. Regular physical activity (odds ratio=0.36) emerged as a protective factor and all CHD disease parameters were unrelated to hopelessness. The final model explained 43% of the variance in hopelessness. Adult CHD teams are encouraged to continue to explore strategies to support patients to live as rich and full as lives as possible by pursuing relationships, employment and physical activity, as well as managing depression and hopelessness. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Linear regression metamodeling as a tool to summarize and present simulation model results.
Jalal, Hawre; Dowd, Bryan; Sainfort, François; Kuntz, Karen M
2013-10-01
Modelers lack a tool to systematically and clearly present complex model results, including those from sensitivity analyses. The objective was to propose linear regression metamodeling as a tool to increase transparency of decision analytic models and better communicate their results. We used a simplified cancer cure model to demonstrate our approach. The model computed the lifetime cost and benefit of 3 treatment options for cancer patients. We simulated 10,000 cohorts in a probabilistic sensitivity analysis (PSA) and regressed the model outcomes on the standardized input parameter values in a set of regression analyses. We used the regression coefficients to describe measures of sensitivity analyses, including threshold and parameter sensitivity analyses. We also compared the results of the PSA to deterministic full-factorial and one-factor-at-a-time designs. The regression intercept represented the estimated base-case outcome, and the other coefficients described the relative parameter uncertainty in the model. We defined simple relationships that compute the average and incremental net benefit of each intervention. Metamodeling produced outputs similar to traditional deterministic 1-way or 2-way sensitivity analyses but was more reliable since it used all parameter values. Linear regression metamodeling is a simple, yet powerful, tool that can assist modelers in communicating model characteristics and sensitivity analyses.
Power of theta waves in the EEG of human subjects increases during recall of haptic information.
Grunwald, M; Weiss, T; Krause, W; Beyer, L; Rost, R; Gutberlet, I; Gertz, H J
1999-02-05
Several studies have reported a functional relationship between spectral power within the theta-band of the EEG (theta-power) and memory load while processing visual or semantic information. We investigated theta power during the processing of different complex haptic stimuli using a delayed recall design. The haptic explorations consisted of palpating the structure of twelve sunken reliefs with closed eyes. Subjects had to reproduce each relief by drawing it 10 s after the end of the exploration. The relationship between mean theta power and mean exploration time was analysed using a regression model. A linear relationship was found between the exploration time and theta power over fronto-central regions (Fp1, Fp2, F3, F7, F8, Fz, C3) directly before the recall of the relief. This result is interpreted in favour of the hypothesis that fronto-central theta power of the EEG correlates with the load of working memory independent of stimulus modality.
Rogers, Mary E; Creed, Peter A
2011-02-01
This study used social cognitive career theory (Lent, Brown, & Hackett, 1994), as a framework to investigate predictors of career choice actions, operationalised as career planning and career exploration. The model was tested cross-sectionally and longitudinally with 631 high school students enrolled in Grades 10-12. Students completed measures of self-efficacy, outcome expectations, goals, supports and personality. Results of the hierarchical regression analyses indicated strong support for self-efficacy and goals predicting career planning and exploration across all grades at T1, and predicting change in career planning and exploration from T1 to T2. Whilst support for pathways among other predictor variables (personality, contextual influences and biographic variables) to choice actions was found, these pathways varied across grades at T1, and also from T1 to T2. Implications for social cognitive career theory, career counselling practice and future research are discussed. Copyright © 2010 The Association for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
Core OCD Symptoms: Exploration of Specificity and Relations with Psychopathology
Stasik, Sara M.; Naragon-Gainey, Kristin; Chmielewski, Michael; Watson, David
2012-01-01
Obsessive-compulsive disorder (OCD) is a heterogeneous condition, comprised of multiple symptom domains. This study used aggregate composite scales representing three core OCD dimensions (Checking, Cleaning, Rituals), as well as Hoarding, to examine the discriminant validity, diagnostic specificity, and predictive ability of OCD symptom scales. The core OCD scales demonstrated strong patterns of convergent and discriminant validity – suggesting that these dimensions are distinct from other self-reported symptoms – whereas hoarding symptoms correlated just as strongly with OCD and non-OCD symptoms in most analyses. Across analyses, our results indicated that Checking is a particularly strong, specific marker of OCD diagnosis, whereas the specificity of Cleaning and Hoarding to OCD was less strong. Finally, the OCD Checking scale was the only significant predictor of OCD diagnosis in logistic regression analyses. Results are discussed with regard to the importance of assessing OCD symptom dimensions separately and implications for classification. PMID:23026094
Enamel microhardness and bond strengths of self-etching primer adhesives.
Adebayo, Olabisi A; Burrow, Michael F; Tyas, Martin J; Adams, Geoffrey G; Collins, Marnie L
2010-04-01
The aim of this study was to determine the relationship between enamel surface microhardness and microshear bond strength (microSBS). Buccal and lingual mid-coronal enamel sections were prepared from 22 permanent human molars and divided into two groups, each comprising the buccal and lingual enamel from 11 teeth, to analyze two self-etching primer adhesives (Clearfil SE Bond and Tokuyama Bond Force). One-half of each enamel surface was tested using the Vickers hardness test with 10 indentations at 1 N and a 15-s dwell time. A hybrid resin composite was bonded to the other half of the enamel surface with the adhesive system assigned to the group. After 24 h of water storage of specimens at 37 degrees C, the microSBS test was carried out on a universal testing machine at a crosshead speed of 1 mm min(-1) until bond failure occurred. The mean microSBS was regressed on the mean Vickers hardness number (VHN) using a weighted regression analysis in order to explore the relationship between enamel hardness and microSBS. The weights used were the inverse of the variance of the microSBS means. Neither separate correlation analyses for each adhesive nor combined regression analyses showed a significant correlation between the VHN and the microSBS. These results suggest that the microSBS of the self-etch adhesive systems are not influenced by enamel surface microhardness.
Wu, Robert; Glen, Peter; Ramsay, Tim; Martel, Guillaume
2014-06-28
Observational studies dominate the surgical literature. Statistical adjustment is an important strategy to account for confounders in observational studies. Research has shown that published articles are often poor in statistical quality, which may jeopardize their conclusions. The Statistical Analyses and Methods in the Published Literature (SAMPL) guidelines have been published to help establish standards for statistical reporting.This study will seek to determine whether the quality of statistical adjustment and the reporting of these methods are adequate in surgical observational studies. We hypothesize that incomplete reporting will be found in all surgical observational studies, and that the quality and reporting of these methods will be of lower quality in surgical journals when compared with medical journals. Finally, this work will seek to identify predictors of high-quality reporting. This work will examine the top five general surgical and medical journals, based on a 5-year impact factor (2007-2012). All observational studies investigating an intervention related to an essential component area of general surgery (defined by the American Board of Surgery), with an exposure, outcome, and comparator, will be included in this systematic review. Essential elements related to statistical reporting and quality were extracted from the SAMPL guidelines and include domains such as intent of analysis, primary analysis, multiple comparisons, numbers and descriptive statistics, association and correlation analyses, linear regression, logistic regression, Cox proportional hazard analysis, analysis of variance, survival analysis, propensity analysis, and independent and correlated analyses. Each article will be scored as a proportion based on fulfilling criteria in relevant analyses used in the study. A logistic regression model will be built to identify variables associated with high-quality reporting. A comparison will be made between the scores of surgical observational studies published in medical versus surgical journals. Secondary outcomes will pertain to individual domains of analysis. Sensitivity analyses will be conducted. This study will explore the reporting and quality of statistical analyses in surgical observational studies published in the most referenced surgical and medical journals in 2013 and examine whether variables (including the type of journal) can predict high-quality reporting.
Partitioning sources of variation in vertebrate species richness
Boone, R.B.; Krohn, W.B.
2000-01-01
Aim: To explore biogeographic patterns of terrestrial vertebrates in Maine, USA using techniques that would describe local and spatial correlations with the environment. Location: Maine, USA. Methods: We delineated the ranges within Maine (86,156 km2) of 275 species using literature and expert review. Ranges were combined into species richness maps, and compared to geomorphology, climate, and woody plant distributions. Methods were adapted that compared richness of all vertebrate classes to each environmental correlate, rather than assessing a single explanatory theory. We partitioned variation in species richness into components using tree and multiple linear regression. Methods were used that allowed for useful comparisons between tree and linear regression results. For both methods we partitioned variation into broad-scale (spatially autocorrelated) and fine-scale (spatially uncorrelated) explained and unexplained components. By partitioning variance, and using both tree and linear regression in analyses, we explored the degree of variation in species richness for each vertebrate group that Could be explained by the relative contribution of each environmental variable. Results: In tree regression, climate variation explained richness better (92% of mean deviance explained for all species) than woody plant variation (87%) and geomorphology (86%). Reptiles were highly correlated with environmental variation (93%), followed by mammals, amphibians, and birds (each with 84-82% deviance explained). In multiple linear regression, climate was most closely associated with total vertebrate richness (78%), followed by woody plants (67%) and geomorphology (56%). Again, reptiles were closely correlated with the environment (95%), followed by mammals (73%), amphibians (63%) and birds (57%). Main conclusions: Comparing variation explained using tree and multiple linear regression quantified the importance of nonlinear relationships and local interactions between species richness and environmental variation, identifying the importance of linear relationships between reptiles and the environment, and nonlinear relationships between birds and woody plants, for example. Conservation planners should capture climatic variation in broad-scale designs; temperatures may shift during climate change, but the underlying correlations between the environment and species richness will presumably remain.
Regression Analysis of Optical Coherence Tomography Disc Variables for Glaucoma Diagnosis.
Richter, Grace M; Zhang, Xinbo; Tan, Ou; Francis, Brian A; Chopra, Vikas; Greenfield, David S; Varma, Rohit; Schuman, Joel S; Huang, David
2016-08-01
To report diagnostic accuracy of optical coherence tomography (OCT) disc variables using both time-domain (TD) and Fourier-domain (FD) OCT, and to improve the use of OCT disc variable measurements for glaucoma diagnosis through regression analyses that adjust for optic disc size and axial length-based magnification error. Observational, cross-sectional. In total, 180 normal eyes of 112 participants and 180 eyes of 138 participants with perimetric glaucoma from the Advanced Imaging for Glaucoma Study. Diagnostic variables evaluated from TD-OCT and FD-OCT were: disc area, rim area, rim volume, optic nerve head volume, vertical cup-to-disc ratio (CDR), and horizontal CDR. These were compared with overall retinal nerve fiber layer thickness and ganglion cell complex. Regression analyses were performed that corrected for optic disc size and axial length. Area-under-receiver-operating curves (AUROC) were used to assess diagnostic accuracy before and after the adjustments. An index based on multiple logistic regression that combined optic disc variables with axial length was also explored with the aim of improving diagnostic accuracy of disc variables. Comparison of diagnostic accuracy of disc variables, as measured by AUROC. The unadjusted disc variables with the highest diagnostic accuracies were: rim volume for TD-OCT (AUROC=0.864) and vertical CDR (AUROC=0.874) for FD-OCT. Magnification correction significantly worsened diagnostic accuracy for rim variables, and while optic disc size adjustments partially restored diagnostic accuracy, the adjusted AUROCs were still lower. Axial length adjustments to disc variables in the form of multiple logistic regression indices led to a slight but insignificant improvement in diagnostic accuracy. Our various regression approaches were not able to significantly improve disc-based OCT glaucoma diagnosis. However, disc rim area and vertical CDR had very high diagnostic accuracy, and these disc variables can serve to complement additional OCT measurements for diagnosis of glaucoma.
The moderating role of emotional competence in suicidal ideation among Chinese university students.
Kwok, Sylvia Y C L
2014-04-01
To explore the relationship among perceived family functioning, emotional competence and suicidal ideation and to examine the moderating role of emotional competence in suicidal ideation. Previous studies have highlighted that poor family relationships and emotional symptoms are significant predictors of suicidal ideation. However, the roles of perceived family functioning and emotional competence in predicting suicidal ideation have not been given adequate attention. A cross-sectional survey using convenience sampling. A questionnaire was administered to 302 university students from February-April in 2011 in Hong Kong. The means, standard deviations and Cronbach's alphas of the variables were computed. Pearson correlation analyses and hierarchical regression analyses were performed. Hierarchical regression analyses showed that perceived high family functioning and emotional competence were significant negative predictors of suicidal ideation. Further analyses showed that parental concern, parental control and creative use of emotions were significant predictors of suicidal ideation. Emotional competence, specifically creative use of emotions, was found to moderate the relationship between perceived family functioning and suicidal ideation. The findings support the family ecological framework and provide evidence for emotional competence as a resilience factor that buffers low family functioning on suicidal ideation. Suggested measures to decrease suicidal ideation include enhancing parental concern, lessening parental control, developing students' awareness, regulation and management of their own emotions, fostering empathy towards others' emotional expression, enhancing social skills in sharing and influencing others' emotions and increasing the positive use of emotions for the evaluation and generation of new ideas. © 2013 John Wiley & Sons Ltd.
NASA Astrophysics Data System (ADS)
El Naqa, I.; Suneja, G.; Lindsay, P. E.; Hope, A. J.; Alaly, J. R.; Vicic, M.; Bradley, J. D.; Apte, A.; Deasy, J. O.
2006-11-01
Radiotherapy treatment outcome models are a complicated function of treatment, clinical and biological factors. Our objective is to provide clinicians and scientists with an accurate, flexible and user-friendly software tool to explore radiotherapy outcomes data and build statistical tumour control or normal tissue complications models. The software tool, called the dose response explorer system (DREES), is based on Matlab, and uses a named-field structure array data type. DREES/Matlab in combination with another open-source tool (CERR) provides an environment for analysing treatment outcomes. DREES provides many radiotherapy outcome modelling features, including (1) fitting of analytical normal tissue complication probability (NTCP) and tumour control probability (TCP) models, (2) combined modelling of multiple dose-volume variables (e.g., mean dose, max dose, etc) and clinical factors (age, gender, stage, etc) using multi-term regression modelling, (3) manual or automated selection of logistic or actuarial model variables using bootstrap statistical resampling, (4) estimation of uncertainty in model parameters, (5) performance assessment of univariate and multivariate analyses using Spearman's rank correlation and chi-square statistics, boxplots, nomograms, Kaplan-Meier survival plots, and receiver operating characteristics curves, and (6) graphical capabilities to visualize NTCP or TCP prediction versus selected variable models using various plots. DREES provides clinical researchers with a tool customized for radiotherapy outcome modelling. DREES is freely distributed. We expect to continue developing DREES based on user feedback.
Results of the 2009 AORN salary survey.
Bacon, Donald
2009-12-01
AORN conducted its seventh annual compensation survey for perioperative nurses in August of 2009. A multiple regression model was used to examine how a variety of variables including job title, education level, certification, experience, and geographic region affect nursing compensation. Comparisons between the 2009 data and previous years' data are presented. The effects of other forms of compensation, such as on-call compensation, overtime, bonuses, and shift differentials on average base compensation rates also are examined. Additional analyses explore the effect of the current economic downturn on the perioperative work environment. (c) AORN, Inc, 2009.
Ngwa, Julius S; Cabral, Howard J; Cheng, Debbie M; Pencina, Michael J; Gagnon, David R; LaValley, Michael P; Cupples, L Adrienne
2016-11-03
Typical survival studies follow individuals to an event and measure explanatory variables for that event, sometimes repeatedly over the course of follow up. The Cox regression model has been used widely in the analyses of time to diagnosis or death from disease. The associations between the survival outcome and time dependent measures may be biased unless they are modeled appropriately. In this paper we explore the Time Dependent Cox Regression Model (TDCM), which quantifies the effect of repeated measures of covariates in the analysis of time to event data. This model is commonly used in biomedical research but sometimes does not explicitly adjust for the times at which time dependent explanatory variables are measured. This approach can yield different estimates of association compared to a model that adjusts for these times. In order to address the question of how different these estimates are from a statistical perspective, we compare the TDCM to Pooled Logistic Regression (PLR) and Cross Sectional Pooling (CSP), considering models that adjust and do not adjust for time in PLR and CSP. In a series of simulations we found that time adjusted CSP provided identical results to the TDCM while the PLR showed larger parameter estimates compared to the time adjusted CSP and the TDCM in scenarios with high event rates. We also observed upwardly biased estimates in the unadjusted CSP and unadjusted PLR methods. The time adjusted PLR had a positive bias in the time dependent Age effect with reduced bias when the event rate is low. The PLR methods showed a negative bias in the Sex effect, a subject level covariate, when compared to the other methods. The Cox models yielded reliable estimates for the Sex effect in all scenarios considered. We conclude that survival analyses that explicitly account in the statistical model for the times at which time dependent covariates are measured provide more reliable estimates compared to unadjusted analyses. We present results from the Framingham Heart Study in which lipid measurements and myocardial infarction data events were collected over a period of 26 years.
Button, Deeanna M; Tewksbury, Richard; Mustaine, Elizabeth E; Payne, Brian K
2013-01-01
The purpose of this article is to explore factors contributing to perceptions about electronic monitoring policies governing sex offenders. Guided by Tannenbaum's theory of attribution and Shaw and McKay's theory of social disorganization, the authors examine the influence of demographic characteristics, victimization experiences, and neighborhood characteristics on perceptions about policies regarding the electronic monitoring of sex offenders. Ordinary least squares regression and logistic regression analyses of stratified telephone survey data reveal that factors associated with favorable views on the use of global positioning satellite monitoring for registered sex offenders appear to stem primarily from individuals' demographic characteristics. Experiential and neighborhood factors do provide some influence over individuals' views of electronic monitoring policies for sex offenders. Theoretical and policy implications are discussed.
Ndiath, Mansour M; Cisse, Badara; Ndiaye, Jean Louis; Gomis, Jules F; Bathiery, Ousmane; Dia, Anta Tal; Gaye, Oumar; Faye, Babacar
2015-11-18
In Senegal, considerable efforts have been made to reduce malaria morbidity and mortality during the last decade. This resulted in a marked decrease of malaria cases. With the decline of malaria cases, transmission has become sparse in most Senegalese health districts. This study investigated malaria hotspots in Keur Soce sites by using geographically-weighted regression. Because of the occurrence of hotspots, spatial modelling of malaria cases could have a considerable effect in disease surveillance. This study explored and analysed the spatial relationships between malaria occurrence and socio-economic and environmental factors in small communities in Keur Soce, Senegal, using 6 months passive surveillance. Geographically-weighted regression was used to explore the spatial variability of relationships between malaria incidence or persistence and the selected socio-economic, and human predictors. A model comparison of between ordinary least square and geographically-weighted regression was also explored. Vector dataset (spatial) of the study area by village levels and statistical data (non-spatial) on malaria confirmed cases, socio-economic status (bed net use), population data (size of the household) and environmental factors (temperature, rain fall) were used in this exploratory analysis. ArcMap 10.2 and Stata 11 were used to perform malaria hotspots analysis. From Jun to December, a total of 408 confirmed malaria cases were notified. The explanatory variables-household size, housing materials, sleeping rooms, sheep and distance to breeding site returned significant t values of -0.25, 2.3, 4.39, 1.25 and 2.36, respectively. The OLS global model revealed that it explained about 70 % (adjusted R(2) = 0.70) of the variation in malaria occurrence with AIC = 756.23. The geographically-weighted regression of malaria hotspots resulted in coefficient intercept ranging from 1.89 to 6.22 with a median of 3.5. Large positive values are distributed mainly in the southeast of the district where hotspots are more accurate while low values are mainly found in the centre and in the north. Geographically-weighted regression and OLS showed important risks factors of malaria hotspots in Keur Soce. The outputs of such models can be a useful tool to understand occurrence of malaria hotspots in Senegal. An understanding of geographical variation and determination of the core areas of the disease may provide an explanation regarding possible proximal and distal contributors to malaria elimination in Senegal.
Methodological reporting of randomized trials in five leading Chinese nursing journals.
Shi, Chunhu; Tian, Jinhui; Ren, Dan; Wei, Hongli; Zhang, Lihuan; Wang, Quan; Yang, Kehu
2014-01-01
Randomized controlled trials (RCTs) are not always well reported, especially in terms of their methodological descriptions. This study aimed to investigate the adherence of methodological reporting complying with CONSORT and explore associated trial level variables in the Chinese nursing care field. In June 2012, we identified RCTs published in five leading Chinese nursing journals and included trials with details of randomized methods. The quality of methodological reporting was measured through the methods section of the CONSORT checklist and the overall CONSORT methodological items score was calculated and expressed as a percentage. Meanwhile, we hypothesized that some general and methodological characteristics were associated with reporting quality and conducted a regression with these data to explore the correlation. The descriptive and regression statistics were calculated via SPSS 13.0. In total, 680 RCTs were included. The overall CONSORT methodological items score was 6.34 ± 0.97 (Mean ± SD). No RCT reported descriptions and changes in "trial design," changes in "outcomes" and "implementation," or descriptions of the similarity of interventions for "blinding." Poor reporting was found in detailing the "settings of participants" (13.1%), "type of randomization sequence generation" (1.8%), calculation methods of "sample size" (0.4%), explanation of any interim analyses and stopping guidelines for "sample size" (0.3%), "allocation concealment mechanism" (0.3%), additional analyses in "statistical methods" (2.1%), and targeted subjects and methods of "blinding" (5.9%). More than 50% of trials described randomization sequence generation, the eligibility criteria of "participants," "interventions," and definitions of the "outcomes" and "statistical methods." The regression analysis found that publication year and ITT analysis were weakly associated with CONSORT score. The completeness of methodological reporting of RCTs in the Chinese nursing care field is poor, especially with regard to the reporting of trial design, changes in outcomes, sample size calculation, allocation concealment, blinding, and statistical methods.
Exploring separable components of institutional confidence.
Hamm, Joseph A; PytlikZillig, Lisa M; Tomkins, Alan J; Herian, Mitchel N; Bornstein, Brian H; Neeley, Elizabeth M
2011-01-01
Despite its contemporary and theoretical importance in numerous social scientific disciplines, institutional confidence research is limited by a lack of consensus regarding the distinctions and relationships among related constructs (e.g., trust, confidence, legitimacy, distrust, etc.). This study examined four confidence-related constructs that have been used in studies of trust/confidence in the courts: dispositional trust, trust in institutions, obligation to obey the law, and cynicism. First, the separability of the four constructs was examined by exploratory factor analyses. Relationships among the constructs were also assessed. Next, multiple regression analyses were used to explore each construct's independent contribution to confidence in the courts. Finally, a second study replicated the first study and also examined the stability of the institutional confidence constructs over time. Results supported the hypothesized separability of, and correlations among, the four confidence-related constructs. The extent to which the constructs independently explained the observed variance in confidence in the courts differed as a function of the specific operationalization of confidence in the courts and the individual predictor measures. Implications for measuring institutional confidence and future research directions are discussed. Copyright © 2011 John Wiley & Sons, Ltd.
Chavous, Tabbye M.; Griffin, Tiffany M.
2012-01-01
The present study examined school-based racial and gender discrimination experiences among African American adolescents in Grade 8 (n = 204 girls; n = 209 boys). A primary goal was exploring gender variation in frequency of both types of discrimination and associations of discrimination with academic and psychological functioning among girls and boys. Girls and boys did not vary in reported racial discrimination frequency, but boys reported more gender discrimination experiences. Multiple regression analyses within gender groups indicated that among girls and boys, racial discrimination and gender discrimination predicted higher depressive symptoms and school importance and racial discrimination predicted self-esteem. Racial and gender discrimination were also negatively associated with grade point average among boys but were not significantly associated in girls’ analyses. Significant gender discrimination X racial discrimination interactions resulted in the girls’ models predicting psychological outcomes and in boys’ models predicting academic achievement. Taken together, findings suggest the importance of considering gender- and race-related experiences in understanding academic and psychological adjustment among African American adolescents. PMID:22837794
Cogburn, Courtney D; Chavous, Tabbye M; Griffin, Tiffany M
2011-01-03
The present study examined school-based racial and gender discrimination experiences among African American adolescents in Grade 8 (n = 204 girls; n = 209 boys). A primary goal was exploring gender variation in frequency of both types of discrimination and associations of discrimination with academic and psychological functioning among girls and boys. Girls and boys did not vary in reported racial discrimination frequency, but boys reported more gender discrimination experiences. Multiple regression analyses within gender groups indicated that among girls and boys, racial discrimination and gender discrimination predicted higher depressive symptoms and school importance and racial discrimination predicted self-esteem. Racial and gender discrimination were also negatively associated with grade point average among boys but were not significantly associated in girls' analyses. Significant gender discrimination X racial discrimination interactions resulted in the girls' models predicting psychological outcomes and in boys' models predicting academic achievement. Taken together, findings suggest the importance of considering gender- and race-related experiences in understanding academic and psychological adjustment among African American adolescents.
Caputo, Andrea
2015-05-01
This paper explores the potential role of gratitude on the reduction of loneliness feelings, even controlling for several variables related to social desirability, well-being (subjective happiness and life satisfaction) and socio-demographic characteristics. Through a web-based survey a convenience sample of 197 participants completed an online questionnaire including these measures. Correlation analyses and four-step hierarchical multiple regression analyses were conducted. The results show a negative correlation between gratitude and loneliness; specifically, gratitude succeeds in accounting for up to almost one-fifth of the total variability of loneliness even controlling for further variables. Being female, not having a stable and consolidated relationship and not participating in the labor force represent some risk factors affecting loneliness which should be taken into account in further research.
Caputo, Andrea
2015-01-01
This paper explores the potential role of gratitude on the reduction of loneliness feelings, even controlling for several variables related to social desirability, well-being (subjective happiness and life satisfaction) and socio-demographic characteristics. Through a web-based survey a convenience sample of 197 participants completed an online questionnaire including these measures. Correlation analyses and four-step hierarchical multiple regression analyses were conducted. The results show a negative correlation between gratitude and loneliness; specifically, gratitude succeeds in accounting for up to almost one-fifth of the total variability of loneliness even controlling for further variables. Being female, not having a stable and consolidated relationship and not participating in the labor force represent some risk factors affecting loneliness which should be taken into account in further research. PMID:27247660
Neutrophil/lymphocyte ratio and platelet/lymphocyte ratio in mood disorders: A meta-analysis.
Mazza, Mario Gennaro; Lucchi, Sara; Tringali, Agnese Grazia Maria; Rossetti, Aurora; Botti, Eugenia Rossana; Clerici, Massimo
2018-06-08
The immune and inflammatory system is involved in the etiology of mood disorders. Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and monocyte/lymphocyte ratio (MLR) are inexpensive and reproducible biomarkers of inflammation. This is the first meta-analysis exploring the role of NLR and PLR in mood disorder. We identified 11 studies according to our inclusion criteria from the main Electronic Databases. Meta-analyses were carried out generating pooled standardized mean differences (SMDs) between index and healthy controls (HC). Heterogeneity was estimated. Relevant sensitivity and meta-regression analyses were conducted. Subjects with bipolar disorder (BD) had higher NLR and PLR as compared with HC (respectively SMD = 0.672; p < 0.001; I 2 = 82.4% and SMD = 0.425; p = 0.048; I 2 = 86.53%). Heterogeneity-based sensitivity analyses confirmed these findings. Subgroup analysis evidenced an influence of bipolar phase on the overall estimate whit studies including subjects in manic and any bipolar phase showing a significantly higher NLR and PLR as compared with HC whereas the effect was not significant among studies including only euthymic bipolar subjects. Meta-regression showed that age and sex influenced the relationship between BD and NLR but not the relationship between BD and PLR. Meta-analysis was not carried out for MLR because our search identified only one study when comparing BD to HC, and only one study when comparing MDD to HC. Subjects with major depressive disorder (MDD) had higher NLR as compared with HC (SMD = 0.670; p = 0.028; I 2 = 89.931%). Heterogeneity-based sensitivity analyses and meta-regression confirmed these findings. Our meta-analysis supports the hypothesis that an inflammatory activation occurs in mood disorders and NLR and PLR may be useful to detect this activation. More researches including comparison of NLR, PLR and MLR between different bipolar phases and between BD and MDD are needed. Copyright © 2018 Elsevier Inc. All rights reserved.
Family functioning mediates adaptation in caregivers of individuals with Rett syndrome.
Lamb, Amanda E; Biesecker, Barbara B; Umstead, Kendall L; Muratori, Michelle; Biesecker, Leslie G; Erby, Lori H
2016-11-01
The objective of this study was to investigate factors related to family functioning and adaptation in caregivers of individuals with Rett syndrome (RS). A cross-sectional quantitative survey explored the relationships between demographics, parental self-efficacy, coping methods, family functioning and adaptation. A forward-backward, step-wise model selection procedure was used to evaluate variables associated with both family functioning and adaptation. Analyses also explored family functioning as a mediator of the relationship between other variables and adaptation. Bivariate analyses (N=400) revealed that greater parental self-efficacy, a greater proportion of problem-focused coping, and a lesser proportion of emotion-focused coping were associated with more effective family functioning. In addition, these key variables were significantly associated with greater adaptation, as was family functioning, while controlling for confounders. Finally, regression analyses suggest family functioning as a mediator of the relationships between three variables (parental self-efficacy, problem-focused coping, and emotion-focused coping) with adaptation. This study demonstrates the potentially predictive roles of expectations and coping methods and the mediator role of family functioning in adaptation among caregivers of individuals with RS, a chronic developmental disorder. A potential target for intervention is strengthening of caregiver competence in the parenting role to enhance caregiver adaptation. Published by Elsevier Ireland Ltd.
Jacobsson, L J; Westerberg, M; Malec, J F; Lexell, J
2011-06-01
The objective of the study was to assess sense of coherence (SOC) many years after traumatic brain injury (TBI) and explore the relationship between SOC and self-rated life satisfaction (LS) as well as measures of functioning and disability, sex, age at injury, injury severity and time post-injury. Sixty-six individuals (aged 18-65 years) who were 6-15 years post-injury were interviewed. Data on SOC (SOC-13 item scale), measures of functioning and disability (Mayo-Portland Adaptability Inventory, MPAI-4), LS (Satisfaction with Life Scale, SWLS), and sex, age at injury, injury severity and time post-injury were analysed with hierarchical multiple regression analyses. The results showed that SOC in the study group did not differ from the general population and was strongly associated with LS. Regression analyses revealed that emotional factors, social participation, SOC, and time since injury, were more influential than sex, age at injury, and injury severity in explaining LS. It was concluded that SOC in this group of individuals with TBI who were many years post-injury was similar to nondisabled individuals. SOC, together with emotional factors, social participation and injury-related factors, were determinants of LS. These results confirm that LS after TBI is a complex phenomenon dependent on several factors that are important targets for rehabilitation professionals.
Education, Genetic Ancestry, and Blood Pressure in African Americans and Whites
Gravlee, Clarence C.; Mulligan, Connie J.
2012-01-01
Objectives. We assessed the relative roles of education and genetic ancestry in predicting blood pressure (BP) within African Americans and explored the association between education and BP across racial groups. Methods. We used t tests and linear regressions to examine the associations of genetic ancestry, estimated from a genomewide set of autosomal markers, and education with BP variation among African Americans in the Family Blood Pressure Program. We also performed linear regressions in self-identified African Americans and Whites to explore the association of education with BP across racial groups. Results. Education, but not genetic ancestry, significantly predicted BP variation in the African American subsample (b = −0.51 mm Hg per year additional education; P = .001). Although education was inversely associated with BP in the total population, within-group analyses showed that education remained a significant predictor of BP only among the African Americans. We found a significant interaction (b = 3.20; P = .006) between education and self-identified race in predicting BP. Conclusions. Racial disparities in BP may be better explained by differences in education than by genetic ancestry. Future studies of ancestry and disease should include measures of the social environment. PMID:22698014
Islam, Rakibul M
2017-01-01
Despite startling developments in maternal health care services, use of these services has been disproportionately distributed among different minority groups in Bangladesh. This study aimed to explore the factors associated with the use of these services among the Mru indigenous women in Bangladesh. A total of 374 currently married Mru women were interviewed using convenience sampling from three administrative sub-districts of the Bandarban district from June to August of 2009. Associations were assessed using Chi-square tests, and a binary logistic regression model was employed to explore factors associated with the use of maternal health care services. Among the women surveyed, 30% had ever visited maternal health care services in the Mru community, a very low proportion compared with mainstream society. Multivariable logistic regression analyses revealed that place of residence, religion, school attendance, place of service provided, distance to the service center, and exposure to mass media were factors significantly associated with the use of maternal health care services among Mru women. Considering indigenous socio-cultural beliefs and practices, comprehensive community-based outreach health programs are recommended in the community with a special emphasis on awareness through maternal health education and training packages for the Mru adolescents.
Education, genetic ancestry, and blood pressure in African Americans and Whites.
Non, Amy L; Gravlee, Clarence C; Mulligan, Connie J
2012-08-01
We assessed the relative roles of education and genetic ancestry in predicting blood pressure (BP) within African Americans and explored the association between education and BP across racial groups. We used t tests and linear regressions to examine the associations of genetic ancestry, estimated from a genomewide set of autosomal markers, and education with BP variation among African Americans in the Family Blood Pressure Program. We also performed linear regressions in self-identified African Americans and Whites to explore the association of education with BP across racial groups. Education, but not genetic ancestry, significantly predicted BP variation in the African American subsample (b=-0.51 mm Hg per year additional education; P=.001). Although education was inversely associated with BP in the total population, within-group analyses showed that education remained a significant predictor of BP only among the African Americans. We found a significant interaction (b=3.20; P=.006) between education and self-identified race in predicting BP. Racial disparities in BP may be better explained by differences in education than by genetic ancestry. Future studies of ancestry and disease should include measures of the social environment.
Calvert, Clara; Thomas, Sara L.; Ronsmans, Carine; Wagner, Karen S.; Adler, Alma J.; Filippi, Veronique
2012-01-01
Objective To provide regional estimates of the prevalence of maternal haemorrhage and explore the effect of methodological differences between studies on any observed regional variation. Methods We conducted a systematic review of the prevalence of maternal haemorrhage, defined as blood loss greater than or equal to 1) 500 ml or 2) 1000 ml in the antepartum, intrapartum or postpartum period. We obtained regional estimates of the prevalence of maternal and severe maternal haemorrhage by conducting meta-analyses and used meta-regression to explore potential sources of between-study heterogeneity. Findings No studies reported the prevalence of antepartum haemorrhage (APH) according to our definitions. The prevalence of postpartum haemorrhage (PPH) (blood loss ≥500 ml) ranged from 7.2% in Oceania to 25.7% in Africa. The prevalence of severe PPH (blood loss ≥1000 ml) was highest in Africa at 5.1% and lowest in Asia at 1.9%. There was strong evidence of between-study heterogeneity in the prevalence of PPH and severe PPH in most regions. Meta-regression analyses suggested that region and method of measurement of blood loss influenced prevalence estimates for both PPH and severe PPH. The regional patterns changed after adjusting for the other predictors of PPH indicating that, compared with European women, Asian women have a lower prevalence of PPH. Conclusions We found evidence that Asian women have a very low prevalence of PPH compared with women in Europe. However, more reliable estimates will only be obtained with the standardisation of the measurement of PPH so that the data from different regions are comparable. PMID:22844432
Provincial income inequality and self‐reported health status in China during 1991–7
Pei, X; Rodriguez, E
2006-01-01
Background The relationship between income inequality and health has been widely explored. Today there is some evidence suggesting that good health is inversely related to income inequality. After the economic reforms initiated in the early 1980s, China experienced one of the fastest‐growing income inequalities in the world. The state of China in the 1990s is focussed on and possible effects of provincial income inequality on individual health status are explored. Methods A multilevel regression model is used to analyse the data collected in 1991, 1993 and 1997 from nine provinces included in the China Health and Nutrition Survey. The effects of provincial Gini coefficients on self‐rated health in each year are evaluated by two logistic regressions estimating the odds ratios of reporting poor or fair health. The patterns of this effect are compared among the survey years and also among different demographic groups. Results The analyses show an independent effect of income inequality on self‐reported health after adjusting for individual and household variables. Furthermore, the effect of income distribution is not attenuated when household income and provincial gross domestic product per capita are included in the model. The results show that there is an increased risk of about 10–15% on average for fair or poor health for people living in provinces with greater income inequalities compared with provinces with modest income inequalities. Conclusions In China, societal income inequality appears to be an important determinant of population health during 1991–7. PMID:17108303
Potential suicide ideation and its association with observing bullying at school.
Rivers, Ian; Noret, Nathalie
2013-07-01
To explore those contextual factors that predict potential suicide ideation among students who observe bullying at school. 1,592 students of whom 1,009 who reported having observed bullying at school were surveyed from 14 secondary schools in the North of England. Role-related (not-involved, victim, perpetrator, 'bully-victim' and observer) and gender-wise comparisons of key variables were undertaken prior to hierarchical multiple regressions to determine those associated with potential suicide ideation. Analyses indicated that students who observed bullying behavior were significantly more likely than those not involved in bullying to report symptoms of interpersonal sensitivity, to indicate greater helplessness and potential suicide ideation. Hierarchical multiple regression analyses indicated that, among boys, helplessness (β = .48, p < .001) followed by frequency of bullying perpetration (β = .11, p < .001), and a less supportive home climate (β = -.10, p < .004) were associated with potential suicide ideation. Helplessness was found to be the only variable associated with potential suicide ideation among girls (β = .49, p < .001). Perceived helplessness is significantly associated with potential suicide ideation among students who observe bullying at school. Copyright © 2013 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
Clary, Christelle; Lewis, Daniel J; Flint, Ellen; Smith, Neil R; Kestens, Yan; Cummins, Steven
2016-12-01
Studies that explore associations between the local food environment and diet routinely use global regression models, which assume that relationships are invariant across space, yet such stationarity assumptions have been little tested. We used global and geographically weighted regression models to explore associations between the residential food environment and fruit and vegetable intake. Analyses were performed in 4 boroughs of London, United Kingdom, using data collected between April 2012 and July 2012 from 969 adults in the Olympic Regeneration in East London Study. Exposures were assessed both as absolute densities of healthy and unhealthy outlets, taken separately, and as a relative measure (proportion of total outlets classified as healthy). Overall, local models performed better than global models (lower Akaike information criterion). Locally estimated coefficients varied across space, regardless of the type of exposure measure, although changes of sign were observed only when absolute measures were used. Despite findings from global models showing significant associations between the relative measure and fruit and vegetable intake (β = 0.022; P < 0.01) only, geographically weighted regression models using absolute measures outperformed models using relative measures. This study suggests that greater attention should be given to nonstationary relationships between the food environment and diet. It further challenges the idea that a single measure of exposure, whether relative or absolute, can reflect the many ways the food environment may shape health behaviors. © The Author 2016. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Semino, Laura N; Marksteiner, Josef; Brauchle, Gernot; Danay, Erik
2017-04-13
Associations between depression, personality traits, and emotions are complex and reciprocal. The aim of this study is to explore these interactions in dynamical networks and in a linear way over time depending on the severity of depression. Participants included 110 patients with depressive symptoms (DSM-5 criteria) who were recruited between October 2015 and February 2016 during their inpatient stay in a general psychiatric hospital in Hall in Tyrol, Austria. The patients filled out the Beck Depression Inventory-II, a German emotional competence questionnaire (Emotionale Kompetenz Fragebogen), Positive and Negative Affect Schedule, and the German versions of the Big Five Inventory-short form and State-Trait-Anxiety-Depression Inventory regarding symptoms, emotions, and personality during their inpatient stay and at a 3-month follow-up by mail. Network and regression analyses were performed to explore interactions both in a linear and a dynamical way at baseline and 3 months later. Regression analyses showed that emotions and personality traits gain importance for the prediction of depressive symptoms with decreasing symptomatology at follow-up (personality: baseline, adjusted R2 = 0.24, P < .001; follow-up, adjusted R2 = 0.65, P < .001). Network analyses additionally showed that the interaction network of depression, emotions, and personality traits is significantly denser and more interconnected (network comparison test: P = .03) at follow-up than at baseline, meaning that with decreased symptoms interconnections get stronger. During depression, personality traits and emotions are walled off and not strongly interconnected with depressive symptoms in networks. With decreasing depressive symptomatology, interfusing of these areas begins and interconnections become stronger. This finding has practical implications for interventions in an acute depressive state and with decreased symptoms. The network approach offers a new perspective on interactions and is a way to make the complexity of these interactions more tangible. © Copyright 2017 Physicians Postgraduate Press, Inc.
Caffeine and Insomnia in People Living With HIV From the Miami Adult Studies on HIV (MASH) Cohort.
Ramamoorthy, Venkataraghavan; Campa, Adriana; Rubens, Muni; Martinez, Sabrina S; Fleetwood, Christina; Stewart, Tiffanie; Liuzzi, Juan P; George, Florence; Khan, Hafiz; Li, Yinghui; Baum, Marianna K
We explored the relationship between caffeine consumption, insomnia, and HIV disease progression (CD4+ T cell counts and HIV viral loads). Caffeine intake and insomnia levels were measured using the Modified Caffeine Consumption Questionnaire and the Pittsburgh Insomnia Rating Scale (PIRS) in 130 clinically stable participants who were living with HIV, taking antiretroviral therapy, and recruited from the Miami Adult Studies on HIV cohort. Linear regressions showed that caffeine consumption was significantly and adversely associated with distress score, quality-of-life score, and global PIRS score. Linear regression analyses also showed that global PIRS score was significantly associated with lower CD4+ T cell counts and higher HIV viral loads. Caffeine could have precipitated insomnia in susceptible people living with HIV, which could be detrimental to their disease progression states. Copyright © 2017 Association of Nurses in AIDS Care. Published by Elsevier Inc. All rights reserved.
Self-efficacy and physical activity in adolescent and parent dyads.
Rutkowski, Elaine M; Connelly, Cynthia D
2012-01-01
The study examined the relationships between self-efficacy and physical activity in adolescent and parent dyads. A cross-sectional, correlational design was used to explore the relationships among levels of parent physical activity, parent-adolescent self-efficacy, and adolescent physical activity. Descriptive and multivariate regression analyses were conducted in a purposive sample of 94 adolescent/parent dyads. Regression results indicated the overall model significantly predicted adolescent physical activity (R(2) = .20, R(2)(adj) = .14, F[5, 70]= 3.28, p= .01). Only one of the five predictor variables significantly contributed to the model. Higher levels of adolescent self-efficacy was positively related to greater levels of adolescent physical activity (β= .29, p= .01). Practitioners are encouraged to examine the level of self-efficacy and physical activity in families in an effort to develop strategies that impact these areas and ultimately to mediate obesity-related challenges in families seeking care. © 2011, Wiley Periodicals, Inc.
Parathyroid Hormone Levels and Cognition
NASA Technical Reports Server (NTRS)
Burnett, J.; Smith, S.M.; Aung, K.; Dyer, C.
2009-01-01
Hyperparathyroidism is a well-recognized cause of impaired cognition due to hypercalcemia. However, recent studies have suggested that perhaps parathyroid hormone itself plays a role in cognition, especially executive dysfunction. The purpose of this study was to explore the relationship of parathyroid hormone levels in a study cohort of elders with impaied cognition. Methods: Sixty community-living adults, 65 years of age and older, reported to Adult Protective Services for self-neglect and 55 controls matched (on age, ethnicity, gender and socio-economic status) consented and participated in this study. The research team conducted in-home comprehensive geriatric assessments which included the Mini-mental state exam (MMSE), the 15-item geriatric depression scale (GDS) , the Wolf-Klein clock test and a comprehensive nutritional panel, which included parathyroid hormone and ionized calcium. Students t tests and linear regression analyses were performed to assess for bivariate associations. Results: Self-neglecters (M = 73.73, sd=48.4) had significantly higher PTH levels compared to controls (M =47.59, sd=28.7; t=3.59, df=98.94, p<.01). There was no significant group difference in ionized calcium levels. Overall, PTH was correlated with the MMSE (r=-.323, p=.001). Individual regression analyses revealed a statistically significant correlation between PTH and MMSE in the self-neglect group (r=-.298, p=.024) and this remained significant after controlling for ionized calcium levels in the regression. No significant associations were revealed in the control group or among any of the other cognitive measures. Conclusion: Parathyroid hormone may be associated with cognitive performance.
Spatial Autocorrelation of Cancer Incidence in Saudi Arabia
Al-Ahmadi, Khalid; Al-Zahrani, Ali
2013-01-01
Little is known about the geographic distribution of common cancers in Saudi Arabia. We explored the spatial incidence patterns of common cancers in Saudi Arabia using spatial autocorrelation analyses, employing the global Moran’s I and Anselin’s local Moran’s I statistics to detect nonrandom incidence patterns. Global ordinary least squares (OLS) regression and local geographically-weighted regression (GWR) were applied to examine the spatial correlation of cancer incidences at the city level. Population-based records of cancers diagnosed between 1998 and 2004 were used. Male lung cancer and female breast cancer exhibited positive statistically significant global Moran’s I index values, indicating a tendency toward clustering. The Anselin’s local Moran’s I analyses revealed small significant clusters of lung cancer, prostate cancer and Hodgkin’s disease among males in the Eastern region and significant clusters of thyroid cancers in females in the Eastern and Riyadh regions. Additionally, both regression methods found significant associations among various cancers. For example, OLS and GWR revealed significant spatial associations among NHL, leukemia and Hodgkin’s disease (r² = 0.49–0.67 using OLS and r² = 0.52–0.68 using GWR) and between breast and prostate cancer (r² = 0.53 OLS and 0.57 GWR) in Saudi Arabian cities. These findings may help to generate etiologic hypotheses of cancer causation and identify spatial anomalies in cancer incidence in Saudi Arabia. Our findings should stimulate further research on the possible causes underlying these clusters and associations. PMID:24351742
Bennett, Bradley C; Husby, Chad E
2008-03-28
Botanical pharmacopoeias are non-random subsets of floras, with some taxonomic groups over- or under-represented. Moerman [Moerman, D.E., 1979. Symbols and selectivity: a statistical analysis of Native American medical ethnobotany, Journal of Ethnopharmacology 1, 111-119] introduced linear regression/residual analysis to examine these patterns. However, regression, the commonly-employed analysis, suffers from several statistical flaws. We use contingency table and binomial analyses to examine patterns of Shuar medicinal plant use (from Amazonian Ecuador). We first analyzed the Shuar data using Moerman's approach, modified to better meet requirements of linear regression analysis. Second, we assessed the exact randomization contingency table test for goodness of fit. Third, we developed a binomial model to test for non-random selection of plants in individual families. Modified regression models (which accommodated assumptions of linear regression) reduced R(2) to from 0.59 to 0.38, but did not eliminate all problems associated with regression analyses. Contingency table analyses revealed that the entire flora departs from the null model of equal proportions of medicinal plants in all families. In the binomial analysis, only 10 angiosperm families (of 115) differed significantly from the null model. These 10 families are largely responsible for patterns seen at higher taxonomic levels. Contingency table and binomial analyses offer an easy and statistically valid alternative to the regression approach.
Lewis, Jioni A; Williams, Marlene G; Peppers, Erica J; Gadson, Cecile A
2017-10-01
The purpose of this study was to apply an intersectionality framework to explore the influence of gendered racism (i.e., intersection of racism and sexism) on health outcomes. Specifically, we applied intersectionality to extend a biopsychosocial model of racism to highlight the psychosocial variables that mediate and moderate the influence of gendered racial microaggressions (i.e., subtle gendered racism) on health outcomes. In addition, we tested aspects of this conceptual model by exploring the influence of gendered racial microaggressions on the mental and physical health of Black women. In addition, we explored the mediating role of coping strategies and the moderating role of gendered racial identity centrality. Participants were 231 Black women who completed an online survey. Results from regression analyses indicated that gendered racial microaggressions significantly predicted both self-reported mental and physical health outcomes. In addition, results from mediation analyses indicated that disengagement coping significantly mediated the link between gendered racial microaggressions and negative mental and physical health. In addition, a moderated mediation effect was found, such that individuals who reported a greater frequency of gendered racial microaggressions and reported lower levels of gendered racial identity centrality tended to use greater disengagement coping, which in turn, was negatively associated with mental and physical health outcomes. Findings of this study suggest that gendered racial identity centrality can serve a buffering role against the negative mental and physical health effects of gendered racism for Black women. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Migration intentions and illicit substance use among youth in central Mexico.
Marsiglia, Flavio Francisco; Kulis, Stephen; Hoffman, Steven; Calderón-Tena, Carlos Orestes; Becerra, David; Alvarez, Diana
2011-01-01
This study explored intentions to emigrate and substance use among youth (ages 14-24) from a central Mexico state with high emigration rates. Questionnaires were completed in 2007 by 702 students attending a probability sample of alternative secondary schools serving remote or poor communities. Linear and logistic regression analyses indicated that stronger intentions to emigrate predicted greater access to drugs, drug offers, and use of illicit drugs (marijuana, cocaine, inhalants), but not alcohol or cigarettes. Results are related to the healthy migrant theory and its applicability to youth with limited educational opportunities. The study's limitations are noted.
Prediction of health levels by remote sensing
NASA Technical Reports Server (NTRS)
Rush, M.; Vernon, S.
1975-01-01
Measures of the environment derived from remote sensing were compared to census population/housing measures in their ability to discriminate among health status areas in two urban communities. Three hypotheses were developed to explore the relationships between environmental and health data. Univariate and multiple step-wise linear regression analyses were performed on data from two sample areas in Houston and Galveston, Texas. Environmental data gathered by remote sensing were found to equal or surpass census data in predicting rates of health outcomes. Remote sensing offers the advantages of data collection for any chosen area or time interval, flexibilities not allowed by the decennial census.
Filipino students' reported parental socialization of academic achievement by socioeconomic group.
Bernardo, Allan B I
2009-10-01
Academic achievement of students differs by socioeconomic group. Parents' socialization of academic achievement in their children was explored in self-reports of 241 students from two socioeconomic status (SES) groups in the Philippines, using a scale developed by Bempechat, et al. Students in the upper SES group had higher achievement than their peers in the middle SES group, but had lower scores on most dimensions of parental socialization of academic achievement. Regression analyses indicate that reported parental attempts to encourage more effort to achieve was associated with lower achievement in students with upper SES.
Results of the 2012 AORN salary and compensation survey.
Bacon, Donald R
2012-12-01
AORN conducted its 10th annual compensation survey for perioperative nurses in June 2012. A multiple regression model was used to examine how a number of variables, including job title, education level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the 2012 data and previous years' data are presented. The effects of other forms of compensation, such as on-call compensation, overtime, bonuses, and shift differentials on base compensation rates, also are examined. Additional analyses explore the effect of the current economic downturn on the perioperative work environment. Copyright © 2012 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Results of the 2016 AORN Salary and Compensation Survey.
Bacon, Donald R; Stewart, Kim A
2016-12-01
AORN conducted its 14th annual compensation survey for perioperative nurses in June 2016. A multiple regression model was used to examine how several variables, including job title, education level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the 2016 data and data from previous years are presented. The effects of other forms of compensation (eg, on-call compensation, overtime, bonuses, shift differentials, benefits) on base compensation rates also are examined. Additional analyses explore the effect of the economic downturn on the perioperative work environment. Copyright © 2016 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Results of the 2013 AORN Salary and Compensation Survey.
Bacon, Donald R; Stewart, Kim A
2013-12-01
AORN conducted its 11th annual compensation survey for perioperative nurses in June 2013. A multiple regression model was used to examine how a number of variables, including job title, education level, certification, experience, and geographic region affect nurse compensation. Comparisons among the 2013 data and previous years' data are presented. The effects of other forms of compensation, such as on-call compensation, overtime, bonuses, and shift differentials on base compensation rates are also examined. Additional analyses explore the effect of the current economic downturn on the perioperative work environment. Copyright © 2013 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Results of the 2017 AORN Salary and Compensation Survey.
Bacon, Donald R; Stewart, Kim A
2017-12-01
AORN conducted its 15th annual compensation survey for perioperative nurses in June 2017. A multiple regression model was used to examine how several variables, including job title, educational level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the 2017 data and data from previous years are presented. The effects of other forms of compensation (eg, on-call compensation, overtime, bonuses, shift differentials, benefits) on base compensation rates are examined. Additional analyses explore the current state of the nursing shortage and the sources of job satisfaction and dissatisfaction. Copyright © 2017 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Results of the 2010 AORN Salary and Compensation Survey.
Bacon, Donald
2010-12-01
AORN conducted its eighth annual compensation survey for perioperative nurses in June and July 2010. A multiple regression model was used to examine how a number of variables, including job title, education level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the 2010 data and data from previous years are presented. The effects of other forms of compensation, such as on-call compensation, overtime, bonuses, and shift differentials, on base compensation rates are also examined. Additional analyses explore the effect of the current economic downturn on the perioperative work environment. Published by Elsevier Inc. All rights reserved.
Relationship of sports experience and ego development of adolescent Japanese athletes.
Takenouchi, Takashi; Taguchi, Tae; Okuda, Aiko
2004-08-01
This study examined the relationship of sports experience with ego development. A questionnaire was used to assess experience of Crisis, Exploration, and Commitment in the issues of Athletic Performance and of Being a Teammate in 782 adolescent Japanese athletes (423 boys, M age = 15.2 yr.; 359 girls, M age = 15.0 yr.). Their Ego Levels were assessed using the Washington University Sentence Completion Test. Correlations indicated that scores on Crisis, Exploration, and Commitment in the issues of Athletic Performance and Being a Teammate were generally associated with Ego Development. Multiple regression analyses indicated that, for boys, the issue of Athletic Performance was closely associated with Ego Development, while for girls, the issue of Being a Teammate was closely associated with Ego Development. Sports experience with crisis, exploration, and commitment may be related to accommodation, which is, in turn, related to ego development. The sex differences on issues related to ego development may be associated with differences in sex-role development for boys and girls.
Ke, Tracy; Fan, Jianqing; Wu, Yichao
2014-01-01
This paper explores the homogeneity of coefficients in high-dimensional regression, which extends the sparsity concept and is more general and suitable for many applications. Homogeneity arises when regression coefficients corresponding to neighboring geographical regions or a similar cluster of covariates are expected to be approximately the same. Sparsity corresponds to a special case of homogeneity with a large cluster of known atom zero. In this article, we propose a new method called clustering algorithm in regression via data-driven segmentation (CARDS) to explore homogeneity. New mathematics are provided on the gain that can be achieved by exploring homogeneity. Statistical properties of two versions of CARDS are analyzed. In particular, the asymptotic normality of our proposed CARDS estimator is established, which reveals better estimation accuracy for homogeneous parameters than that without homogeneity exploration. When our methods are combined with sparsity exploration, further efficiency can be achieved beyond the exploration of sparsity alone. This provides additional insights into the power of exploring low-dimensional structures in high-dimensional regression: homogeneity and sparsity. Our results also shed lights on the properties of the fussed Lasso. The newly developed method is further illustrated by simulation studies and applications to real data. Supplementary materials for this article are available online. PMID:26085701
Rahman, Mosfequr; Hoque, Md Aminul; Mostofa, Md Golam; Makinoda, Satoru
2014-03-01
This study explores the association between adolescent marriage and intimate partner violence (IPV) among young adult women using 2007 Bangladesh Demographic Health Survey data. The analyses are restricted to young women 20 to 24 years old. Logistic regression analyses are constructed to estimate the odds ratios and 95% confidence intervals for the association between adolescent marriage and IPV in the past year. show that there is a strong significant relationship between adolescent marriage and experience of physical IPV in the past year among this population. Association between sexual IPV and adolescent marriage is insignificant. Adolescent marriage puts women at increased risk of physical IPV into their young adult period. Government agencies need to enforce existing law on the minimum age at marriage to reduce IPV among adolescent and young adult girls.
Abnormal dynamics of language in schizophrenia.
Stephane, Massoud; Kuskowski, Michael; Gundel, Jeanette
2014-05-30
Language could be conceptualized as a dynamic system that includes multiple interactive levels (sub-lexical, lexical, sentence, and discourse) and components (phonology, semantics, and syntax). In schizophrenia, abnormalities are observed at all language elements (levels and components) but the dynamic between these elements remains unclear. We hypothesize that the dynamics between language elements in schizophrenia is abnormal and explore how this dynamic is altered. We, first, investigated language elements with comparable procedures in patients and healthy controls. Second, using measures of reaction time, we performed multiple linear regression analyses to evaluate the inter-relationships among language elements and the effect of group on these relationships. Patients significantly differed from controls with respect to sub-lexical/lexical, lexical/sentence, and sentence/discourse regression coefficients. The intercepts of the regression slopes increased in the same order above (from lower to higher levels) in patients but not in controls. Regression coefficients between syntax and both sentence level and discourse level semantics did not differentiate patients from controls. This study indicates that the dynamics between language elements is abnormal in schizophrenia. In patients, top-down flow of linguistic information might be reduced, and the relationship between phonology and semantics but not between syntax and semantics appears to be altered. Published by Elsevier Ireland Ltd.
John W. Edwards; Susan C. Loeb; David C. Guynn
1994-01-01
Multiple regression and use-availability analyses are two methods for examining habitat selection. Use-availability analysis is commonly used to evaluate macrohabitat selection whereas multiple regression analysis can be used to determine microhabitat selection. We compared these techniques using behavioral observations (n = 5534) and telemetry locations (n = 2089) of...
Wang, Shuang; Jiang, Xiaoqian; Wu, Yuan; Cui, Lijuan; Cheng, Samuel; Ohno-Machado, Lucila
2013-01-01
We developed an EXpectation Propagation LOgistic REgRession (EXPLORER) model for distributed privacy-preserving online learning. The proposed framework provides a high level guarantee for protecting sensitive information, since the information exchanged between the server and the client is the encrypted posterior distribution of coefficients. Through experimental results, EXPLORER shows the same performance (e.g., discrimination, calibration, feature selection etc.) as the traditional frequentist Logistic Regression model, but provides more flexibility in model updating. That is, EXPLORER can be updated one point at a time rather than having to retrain the entire data set when new observations are recorded. The proposed EXPLORER supports asynchronized communication, which relieves the participants from coordinating with one another, and prevents service breakdown from the absence of participants or interrupted communications. PMID:23562651
Body-self unity and self-esteem in patients with rheumatic diseases.
Bode, Christina; van der Heij, Anouk; Taal, Erik; van de Laar, Mart A F J
2010-12-01
Perceptions and evaluations of the own body are important sources of self-esteem. Having a rheumatic disease challenges maintenance of positive self-esteem due to consequences of the disease such as unfavorable sensations as pain and limited (physical) functioning. We expect that a positive experience of the own body in spite of a rheumatic disease (body-self harmony) will be associated with higher levels of self-esteem and that experiencing the body as unworthy part of the own person or as disabler for own strivings (body-self alienation) will result in lower levels of self-esteem. For this explorative study, the body experience questionnaire (BEQ) measuring body-self unity was developed and piloted. One hundred sixty-eight patients visiting the outpatient rheumatology clinic of the Medisch Spectrum Twente, Enschede, The Netherlands, completed a questionnaire on touchscreen computers to measure body-self unity (BEQ), illness cognitions (illness cognition questionnaire), pain intensity, functional limitations (health assessment questionnaire disability index), self-esteem (Rosenberg Self-Esteem Scale) and demographics. To analyze predictors of self-esteem, hierarchical regression analyses were employed. The BEQ revealed a two-factor structure with good reliability (subscale harmony, four items, Cronbach's α = 0.76; subscale alienation, six items, Cronbach's α = 0.84). The final model of the hierarchical regression analyses showed that self-esteem can be predicted by the illness cognitions helplessness and acceptance, by harmony and most strongly by alienation from the body. R(2) of the final model was 0.50. The relationship between functional limitations and self-esteem was totally mediated by the psychological constructs body-self unity and illness cognitions. This explorative study showed the importance of the unity of body and self for self-esteem in patients with a rheumatic disease.
Holtman, Gea A; Kranenberg, Justin J; Blanker, Marco H; Ott, Alewijn; Lisman-van Leeuwen, Yvonne; Berger, Marjolein Y
2017-02-01
Dientamoeba fragilis is commonly identified in children in primary care and is suspected to cause gastrointestinal disease. To determine the association between D. fragilis colonization and gastrointestinal symptoms in children. We performed a cross-sectional study with children who presented in primary care with gastrointestinal symptoms. The associations between D. fragilis colonization and specific symptoms were explored by means of logistic regression analyses. Asymptomatic siblings of these cases were invited as control subjects for a case-control analysis, where we explored the association between D. fragilis and gastrointestinal symptoms with conditional logistic regression analysis. In the cross-sectional study, 107 children were included. Their median age was 9 years (interquartile range = 6-12) and 38 (35.5%) were boys. Colonization of D. fragilis was present in 59 children (55.1%). The absence of D. fragilis was associated with soft to watery stool [odds ratio (OR) = 0.29; 95% confidence interval (CI) = 0.10-0.85], chronic diarrhoea (OR = 0.42; 95% CI = 0.18-0.97) and fatigue (OR = 0.45; 95% CI = 0.20-0.99). The case-control analyses included 44 children in each group. Dientamoeba fragilis colonization was not observed more often in cases than in controls after adjustment for age and sex (OR = 1.02; 95% CI = 0.28-3.65). Dientamoeba fragilis is a common parasite in children with and without gastrointestinal symptoms. The anomalous finding of the association between the absence of D. fragilis with soft to watery stools, chronic diarrhoea and fatigue are inexplicable. Our study suggests that D. fragilis colonization does not increase the risk for gastrointestinal symptoms. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Santric-Milicevic, M; Vasic, V; Terzic-Supic, Z
2016-08-15
In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public health care sector, population number, and utilization of inpatient care significantly contribute to total health expenditure. The dependent variable is the total health expenditure (THE) in Serbia from the years 2003 to 2011. The independent variables are the number of health workers employed in the public health care sector, population number, and inpatient care discharges per 100 population. The statistical analyses include the quadratic interpolation method, natural logarithm and differentiation, and multiple linear regression analyses. The level of significance is set at P < 0.05. The regression model captures 90 % of all variations of observed dependent variables (adjusted R square), and the model is significant (P < 0.001). Total health expenditure increased by 1.21 standard deviations, with an increase in health workforce growth rate by 1 standard deviation. Furthermore, this rate decreased by 1.12 standard deviations, with an increase in (negative) population growth rate by 1 standard deviation. Finally, the growth rate increased by 0.38 standard deviation, with an increase of the growth rate of inpatient care discharges per 100 population by 1 standard deviation (P < 0.001). Study results demonstrate that the government has been making an effort to control strongly health budget growth. Exploring causality relationships between health expenditure and health workforce is important for countries that are trying to consolidate their public health finances and achieve universal health coverage at the same time.
Cognitive performance in children with acute early-onset anorexia nervosa.
van Noort, Betteke Maria; Pfeiffer, Ernst; Ehrlich, Stefan; Lehmkuhl, Ulrike; Kappel, Viola
2016-11-01
When anorexia nervosa (AN) occurs in children below the age of 14 years, it is referred to as early-onset AN (EO-AN). Over the last years, there has been an increased focus on the role of cognitive functioning in the development and maintenance of AN. Adults with AN show inefficiencies in cognitive functions such as flexibility and central coherence. Systematic neuropsychological examinations of patients with EO-AN are missing. Thirty children with EO-AN and 30 adolescents with AN, as well as 60 healthy controls (HC) underwent an extensive neuropsychological examination. ANOVAs with post hoc tests and explorative regression analyses were conducted. Patients with EO-AN (mean age = 2.17 ± 1.57 years) showed no significant differences in flexibility, inhibition, planning, central coherence, visuospatial short- and long-term memory or recognition in comparison to HC (mean age = 11.62 ± 1.29 years). Performance of adolescents with AN (mean age = 15.93 ± 0.70 years) was not significantly different compared to HC (mean age = 16.20 ± 1.26 years). Explorative regression analyses revealed a significant interaction of age and group for flexibility (adjusted R 2 = 0.30, F = 17.85, p = 0.013, η p 2 = 0.32). Contrary to expectations, the current study could not confirm the presence of inefficient cognitive processing in children with EO-AN compared to HC. Nonetheless, the expected age-related improvement of flexibility might be disrupted in children and adolescents with AN. Longitudinal neuropsychological examinations are necessary to provide more information about the role of cognitive functioning in the development and maintenance of AN.
Castelli, Lorys; Tesio, Valentina; Colonna, Fabrizio; Molinaro, Stefania; Leombruni, Paolo; Bruzzone, Maria; Fusaro, Enrico; Sarzi-Puttini, Piercarlo; Torta, Riccardo
2012-01-01
Fibromyalgia (FM) is a chronic syndrome characterised by widespread musculoskeletal pain associated with other symptoms like fatigue, stiffness, non-restorative sleep and psychological distress that strongly affects the quality of life in FM patients. While the psychological distress has been widely explored in FM, only a few studies investigated alexithymia, an emotional dysregulation trait. Evaluate the prevalence of alexithymia and psychological distress and their impact on patients quality of life. A battery of tests assessing alexithymia, depression, anxiety, emotional distress symptoms and the health related quality of life (HRQoL) was filled out by 55 female FM patients. After having analysed their prevalence, two regression analyses were performed in order to evaluate the role that alexithymia, depression, anxiety, emotional distress and pain characteristics have on quality of life of FM patients. Results showed that a clinically relevant level of psychological distress was present in more than half of our sample, whereas alexithymic traits were present in 20% of the patients. Regression analyses showed that pain intensity, depression and current pain were the variables that best contribute to explain the physical component of the HRQoL while anxiety, depression and pain intensity were the variables that mainly contributed to explain the mental component of quality of life. These results underline the high prevalence of alexithymia in FM patients and the great impact of psychological symptoms on FM patients HRQoL. Wholistic care of FM patients which addresses both physical and psychological symptoms is needed.
History of kidney stones and risk of chronic kidney disease: a meta-analysis.
Shang, Weifeng; Li, Lixi; Ren, Yali; Ge, Qiangqiang; Ku, Ming; Ge, Shuwang; Xu, Gang
2017-01-01
Although the relationship between a history of kidney stones and chronic kidney disease (CKD) has been explored in many studies, it is still far from being well understood. Thus, we conducted a meta-analysis of studies comparing rates of CKD in patients with a history of kidney stones. PubMed, EMBASE, and the reference lists of relevant articles were searched to identify observational studies related to the topic. A random-effects model was used to combine the study-specific risk estimates. We explored the potential heterogeneity by subgroup analyses and meta-regression analyses. Seven studies were included in this meta-analysis. Pooled results suggested that a history of kidney stones was associated with an increased adjusted risk estimate for CKD [risk ratio (RR), 1.47 95% confidence interval (CI) [1.23-1.76])], with significant heterogeneity among these studies ( I 2 = 93.6%, P < 0.001). The observed positive association was observed in most of the subgroup analyses, whereas the association was not significant among studies from Asian countries, the mean age ≥50 years and male patients. A history of kidney stones is associated with increased risk of CKD. Future investigations are encouraged to reveal the underlying mechanisms in the connection between kidney stones and CKD, which may point the way to more effective preventive and therapeutic measures.
Bronkhorst, Babette
2017-08-01
Occupational health and safety research rarely makes use of data on employee healthcare utilization to gain insight into the physical and mental health of healthcare staff. This paper aims to fill this gap by examining the prevalence of two relevant types of healthcare utilization among staff working in healthcare organizations: physical therapy and mental healthcare utilization. The paper furthermore explores what role employee and organizational characteristics play in explaining differences in healthcare utilization between organizations. A Dutch healthcare insurance company provided healthcare utilization records for a sample of 417 organizations employing 136,804 healthcare workers in the Netherlands. The results showed that there are large differences between and within healthcare industries when it comes to employee healthcare utilization. Multivariate regression analyses revealed that employee characteristics such as age and gender distributions, and healthcare industry, explain some of the variance between healthcare organizations. Nevertheless, the results of the analyses showed that for all healthcare utilization indicators there is still a large amount of unexplained variance. Further research into the subject of organizational differences in employee healthcare utilization is needed, as finding possibilities to influence employee health and subsequent healthcare utilization is beneficial to employees, employers and society as a whole.
Hoch, Jeffrey S; Dewa, Carolyn S
2007-01-01
The principal aim of this article is to share lessons learned by the authors while conducting economic evaluations, using clinical trial data, of mental health interventions. These lessons are quite general and have clear relevance for pharmacoeconomic studies. In addition, we explore how net benefit regression can be used to enhance consideration of key issues when conducting an economic evaluation based on clinical trial data. The first study we discuss found that cost-effectiveness results varied markedly based on the choice of both the patient outcome and the willingness to pay for more of that outcome. The importance of willingness to pay was also highlighted in the results from the second study. Even with a set willingness-to-pay value, most of the time the probability that the new treatment was cost effective was not 100%. In the third study, the cost effectiveness of the new treatment varied by patient characteristics. These observations have important implications for pharmacoeconomic studies. Namely, analysts must carefully consider choice of patient outcome, willingness to pay, patient heterogeneity and the statistical uncertainty inherent in the data. Net benefit regression is a useful technique for exploring these crucial issues when undertaking an economic evaluation using patient-level data on both costs and effects.
Adjustment of geochemical background by robust multivariate statistics
Zhou, D.
1985-01-01
Conventional analyses of exploration geochemical data assume that the background is a constant or slowly changing value, equivalent to a plane or a smoothly curved surface. However, it is better to regard the geochemical background as a rugged surface, varying with changes in geology and environment. This rugged surface can be estimated from observed geological, geochemical and environmental properties by using multivariate statistics. A method of background adjustment was developed and applied to groundwater and stream sediment reconnaissance data collected from the Hot Springs Quadrangle, South Dakota, as part of the National Uranium Resource Evaluation (NURE) program. Source-rock lithology appears to be a dominant factor controlling the chemical composition of groundwater or stream sediments. The most efficacious adjustment procedure is to regress uranium concentration on selected geochemical and environmental variables for each lithologic unit, and then to delineate anomalies by a common threshold set as a multiple of the standard deviation of the combined residuals. Robust versions of regression and RQ-mode principal components analysis techniques were used rather than ordinary techniques to guard against distortion caused by outliers Anomalies delineated by this background adjustment procedure correspond with uranium prospects much better than do anomalies delineated by conventional procedures. The procedure should be applicable to geochemical exploration at different scales for other metals. ?? 1985.
What are we missing? Risk behaviors among Arab-American adolescents and emerging adults.
Munro-Kramer, Michelle L; Fava, Nicole M; Saftner, Melissa A; Darling-Fisher, Cynthia S; Tate, Nutrena H; Stoddard, Sarah A; Martyn, Kristy K
2016-09-01
Research on Arab-Americans as a distinct ethnic group is limited, especially when considering the health of Arab-American youth. This study describes health risk (substance use, violence); health promotive behaviors (hope, spirituality); and sexual activity (oral, vaginal, anal sex) of Arab-American adolescents and emerging adults (aged 15-23) within their life context, as well as the association between these behaviors. A secondary analysis of data on a subset of Arab-American participants obtained from a randomized-control trial was utilized to conduct mixed methods analyses. Qualitative analyses completed on the open-ended questions used the constant comparative method for a subsample (n = 24) of participants. Descriptive quantitative analyses of survey data utilized bivariate analyses and stepwise logistic regression to explore the relation between risk behaviors and sexual activity among the full sample (n = 57). Qualitative analyses revealed two groups of participants: (a) multiple risk behaviors and negative life-events, and (b) minimal risk behaviors and positive life-events. Quantitative analyses indicated older youth, smokers, and those with higher hope pathways were more likely to report vaginal sex. The unique cultural and social contexts of Arab-American youth provide a framework for recommendations for the prevention of risk behaviors. ©2016 American Association of Nurse Practitioners.
What are we missing? Risk behaviors among Arab-American adolescents and emerging adults
Munro-Kramer, Michelle L.; Fava, Nicole M.; Saftner, Melissa A.; Darling-Fisher, Cynthia S.; Tate, Nutrena H.; Stoddard, Sarah A.; Martyn, Kristy K.
2016-01-01
Background and Purpose Research on Arab-Americans as a distinct ethnic group is limited, especially when considering the health of Arab-American youth. This study describes health risk (substance use, violence); health promotive behaviors (hope, spirituality); and sexual activity (oral, vaginal, anal sex) of Arab-American adolescents and emerging adults (15-23 years old) within their life context, as well as the association between these behaviors. Methods A secondary analysis of data on a subset of Arab-American participants obtained from a randomized control trial were utilized to conduct mixed methods analyses. Qualitative analyses completed on the open-ended questions used the constant comparative method for a subsample (n=24) of participants. Descriptive quantitative analyses of survey data utilized bivariate analyses and stepwise logistic regression to explore the relation between risk behaviors and sexual activity among the full sample (n=57). Conclusions Qualitative analyses revealed two groups of participants: (a) multiple risk behaviors and negative life events, and (b) minimal risk behaviors and positive life events. Quantitative analyses indicated older youth, smokers, and those with higher hope pathways were more likely to report vaginal sex. Implications for Practice The unique cultural and social contexts of Arab-American youth provide a framework for recommendations for the prevention of risk behaviors. PMID:26990394
Lack of motivation for treatment associated with greater care needs and psychosocial problems.
Stobbe, Jolanda; Wierdsma, Andre I; Kok, Rob M; Kroon, Hans; Depla, Marja; Roosenschoon, Bert-Jan; Mulder, Cornelis L
2013-01-01
To compare the care needs and severity of psychosocial problems in older patients with severe mental illness (SMI) between those who were and were not motivated for treatment. Cross-sectional study in which we enrolled 141 outpatients with SMI aged 55 and older. Needs were measured using the Camberwell Assessment of Needs for the Elderly, and psychosocial problems with the Health of the Nation Outcome Scale 65+. Motivation for treatment was assessed using a motivation-for-change scale. Parametric and non-parametric tests were used to analyze differences between motivated and non-motivated patients. Explorative logistic regression analyses were used to establish, which unmet needs were associated with motivation. Less-motivated patients had greater unmet care needs and more psychosocial problems than those who were motivated. Logistic regression analyses showed that lack of motivation was associated with greater unmet needs regarding daytime activities, psychotic symptoms, behavioral problems, and addiction problems. Lack of treatment motivation was associated with more unmet needs and more severe psychosocial problems. Further research will be needed to identify other factors associated with motivation in older people with SMI and to investigate whether this group of patient benefits from interventions such as assertive outreach, integrated care or treatment-adherence therapy.
Executive dysfunction predicts social cognition impairment in amyotrophic lateral sclerosis.
Watermeyer, Tamlyn J; Brown, Richard G; Sidle, Katie C L; Oliver, David J; Allen, Christopher; Karlsson, Joanna; Ellis, Catherine M; Shaw, Christopher E; Al-Chalabi, Ammar; Goldstein, Laura H
2015-07-01
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder of the motor system with recognised extra-motor and cognitive involvement. This cross-sectional study examined ALS patients' performance on measures requiring social inference, and determined the relationship between such changes and variations in mood, behaviour, personality, empathy and executive function. Fifty-five ALS patients and 49 healthy controls were compared on tasks measuring social cognition and executive function. ALS patients also completed measures examining mood, behaviour and personality. Regression analyses explored the contribution of executive function, mood, behaviour and personality to social cognition scores within the ALS sample. A between-group MANOVA revealed that, the ALS group was impaired relative to controls on two composite scores for social cognition and executive function. Patients also performed worse on individual tests of executive function measuring cognitive flexibility, response inhibition and concept formation, and on individual aspects of social cognition assessing the attribution of emotional and mental states. Regression analyses indicated that ALS-related executive dysfunction was the main predictor of social cognition performance, above and beyond demographic variables, behaviour, mood and personality. On at least some aspects of social cognition, impaired performance in ALS appears to be secondary to executive dysfunction. The profile of cognitive impairment in ALS supports a cognitive continuum between ALS and frontotemporal dementia.
Liu, Jiao; Gong, Da-Xin; Zeng, Yu; Li, Zhen-Hua; Kong, Chui-Ze
2018-01-01
Quality of life and positive psychological variables has become a focus of concern in patients with renal carcinoma. However, the integrative effects of positive psychological variables on the illness have seldom been reported. The aims of this study were to evaluate the quality of life and the integrative effects of hope, resilience and optimism on the quality of life among Chinese renal carcinoma patients. A cross-sectional study was conducted at the First Hospital of China Medical University. 284 participants completed questionnaires consisting of demographic and clinical characteristics, EORTC QLQ-C30, Adult Hope Scale, Resilience Scale-14 and Life Orientation Scale-Revised from July 2013 to July 2014. Pearson's correlation and hierarchical regression analyses were performed to explore the effects of related factors. Hope, resilience and optimism were significantly associated with quality of life. Hierarchical regression analyses indicated that hope, resilience and optimism as a whole accounted for 9.8, 24.4 and 21.9% of the variance in the global health status, functioning status and symptom status, respectively. The low level of quality of life for Chinese renal carcinoma patients should receive more attention from Chinese medical institutions. Psychological interventions to increase hope, resilience and optimism may be essential to enhancing the quality of life of Chinese cancer patients.
Rigid and flexible control of eating behavior in a college population.
Timko, C Alix; Perone, Julie
2005-02-01
The objective of this study was to explore the relationship between rigid control (RC) and flexible control (FC) of eating behavior and their relationship to traditional weight, eating, and affective measurements in a large heterogeneous population. Participants were 639 underweight to obese male and female college students. Multiple regression analyses (MRA) revealed that high RC was associated with high Body Mass Index (BMI) and high Disinhibition (DIS), and high FC was associated with low BMI and low DIS in women. In men, high RC was associated with high BMI and high DIS, whereas FC was not related to BMI or DIS. Multiple regression analyses of BMI on RC and FC in the female subsample revealed that the control variables interact in such a way that the relationship between RC and BMI is stronger when FC is lower. In men, there was no interaction between these variables. This study is the first full replication of Westenhoefer's Gezugeltes Essen und Storbarkeit des Ebetaverhaltens: 2. Auflage. Gottingen: Verlag fur Psychologie () findings regarding RC and FC and their relationship to weight (BMI) and Disinhibition (DIS) in women. This is also the only second study to use the expanded, more reliable versions of the RC and FC scales. Overall, high RC in women and men was associated with greater eating and affective pathology.
Pasanen, Tytti P; Tyrväinen, Liisa; Korpela, Kalevi M
2014-01-01
Background: A body of evidence shows that both physical activity and exposure to nature are connected to improved general and mental health. Experimental studies have consistently found short term positive effects of physical activity in nature compared with built environments. This study explores whether these benefits are also evident in everyday life, perceived over repeated contact with nature. The topic is important from the perspectives of city planning, individual well-being, and public health. Methods: National survey data (n = 2,070) from Finland was analysed using structural regression analyses. Perceived general health, emotional well-being, and sleep quality were regressed on the weekly frequency of physical activity indoors, outdoors in built environments, and in nature. Socioeconomic factors and other plausible confounders were controlled for. Results: Emotional well-being showed the most consistent positive connection to physical activity in nature, whereas general health was positively associated with physical activity in both built and natural outdoor settings. Better sleep quality was weakly connected to frequent physical activity in nature, but the connection was outweighed by other factors. Conclusion: The results indicate that nature provides an added value to the known benefits of physical activity. Repeated exercise in nature is, in particular, connected to better emotional well-being. PMID:25044598
Dental attendance in preschool children - a prospective study.
Leroy, Roos; Bogaerts, Kris; Hoppenbrouwers, Karel; Martens, Luc C; Declerck, Dominique
2013-03-01
At present, our understanding of the use of dental care services is incomplete, certainly where preschool children are concerned. To investigate what proportion of 3- and 5-year-olds living in Flanders (Belgium) have already visited the dentist, to describe parents' experience about their child's dental visit, and to explore factors that may have an impact on children's early dental visit. Data were collected from 1057 children; validated questionnaires were completed, and children were examined by trained dentist at ages 3 and 5. Logistic regression analyses were performed to explain dental attendance. At the age of 3, 62% and by 5 years, 21% had never visited the dentist. The first dental visit was considered a pleasant experience for the majority of children. Multivariable regression analyses revealed that children who were not first born, whose mothers had a higher educational level and whose parents had recently visited the dentist, had significantly higher odds for having visited the dentist at young age. Parents of young children need to be informed about and motivated for an early dental visit. Promotion campaigns should focus on firstborn children, children from less educated parents, and parents who do not regularly see a dentist. © 2012 The Authors. International Journal of Paediatric Dentistry © 2012 BSPD, IAPD and Blackwell Publishing Ltd.
Oral and Written Expression in Children With Reading Comprehension Difficulties.
Carretti, Barbara; Motta, Eleonora; Re, Anna Maria
2016-01-01
Several studies have highlighted that children with reading comprehension difficulties also have problems in tasks that involve telling a story, in writing or verbally. The main differences identified regard poor comprehenders' lower level of coherence in their productions by comparison with good comprehenders. Only one study has compared poor and good comprehenders' performance in both modalities (oral and written), however, to see whether these modalities differently influence poor comprehenders' performance. We qualitatively and quantitatively compared the performance of good and poor comprehenders in oral and written narrative tasks with the aim of shedding light on this issue. Regression analyses were also used to explore the role of working memory and vocabulary in explaining individual differences. Our results showed that the two groups produced narratives of comparable length, with similar percentages of spelling mistakes, whereas they differed in terms of the quality of their narratives, regardless of the modality. These differences were qualified by analyzing the children's use of connective devices, and poor comprehenders were found to use a higher proportion of additive devices than good comprehenders. Regression analyses showed that working memory (particularly the intrusion errors measure) explained a modest part of the qualitative differences in narrative production. Implications for our theoretical understanding of poor comprehenders' profiles and education are discussed. © Hammill Institute on Disabilities 2014.
Does tip-of-the-tongue for proper names discriminate amnestic mild cognitive impairment?
Juncos-Rabadán, Onésimo; Facal, David; Lojo-Seoane, Cristina; Pereiro, Arturo X
2013-04-01
Difficulty in retrieving people's names is very common in the early stages of Alzheimer's disease and mild cognitive impairment. Such difficulty is often observed as the tip-of-the-tongue (TOT) phenomenon. The main aim of this study was to explore whether a famous people's naming task that elicited the TOT state can be used to discriminate between amnestic mild cognitive impairment (aMCI) patients and normal controls. Eighty-four patients with aMCI and 106 normal controls aged over 50 years performed a task involving naming 50 famous people shown in pictures. Univariate and multivariate regression analyses were used to study the relationships between aMCI and semantic and phonological measures in the TOT paradigm. Univariate regression analyses revealed that all TOT measures significantly predicted aMCI. Multivariate analysis of all these measures correctly classified 70% of controls (specificity) and 71.6% of aMCI patients (sensitivity), with an AUC (area under curve ROC) value of 0.74, but only the phonological measure remained significant. This classification value was similar to that obtained with the Semantic verbal fluency test. TOTs for proper names may effectively discriminate aMCI patients from normal controls through measures that represent one of the naming processes affected, that is, phonological access.
Wang, Shuang; Jiang, Xiaoqian; Wu, Yuan; Cui, Lijuan; Cheng, Samuel; Ohno-Machado, Lucila
2013-06-01
We developed an EXpectation Propagation LOgistic REgRession (EXPLORER) model for distributed privacy-preserving online learning. The proposed framework provides a high level guarantee for protecting sensitive information, since the information exchanged between the server and the client is the encrypted posterior distribution of coefficients. Through experimental results, EXPLORER shows the same performance (e.g., discrimination, calibration, feature selection, etc.) as the traditional frequentist logistic regression model, but provides more flexibility in model updating. That is, EXPLORER can be updated one point at a time rather than having to retrain the entire data set when new observations are recorded. The proposed EXPLORER supports asynchronized communication, which relieves the participants from coordinating with one another, and prevents service breakdown from the absence of participants or interrupted communications. Copyright © 2013 Elsevier Inc. All rights reserved.
Malosetti, Marcos; Ribaut, Jean-Marcel; van Eeuwijk, Fred A.
2013-01-01
Genotype-by-environment interaction (GEI) is an important phenomenon in plant breeding. This paper presents a series of models for describing, exploring, understanding, and predicting GEI. All models depart from a two-way table of genotype by environment means. First, a series of descriptive and explorative models/approaches are presented: Finlay–Wilkinson model, AMMI model, GGE biplot. All of these approaches have in common that they merely try to group genotypes and environments and do not use other information than the two-way table of means. Next, factorial regression is introduced as an approach to explicitly introduce genotypic and environmental covariates for describing and explaining GEI. Finally, QTL modeling is presented as a natural extension of factorial regression, where marker information is translated into genetic predictors. Tests for regression coefficients corresponding to these genetic predictors are tests for main effect QTL expression and QTL by environment interaction (QEI). QTL models for which QEI depends on environmental covariables form an interesting model class for predicting GEI for new genotypes and new environments. For realistic modeling of genotypic differences across multiple environments, sophisticated mixed models are necessary to allow for heterogeneity of genetic variances and correlations across environments. The use and interpretation of all models is illustrated by an example data set from the CIMMYT maize breeding program, containing environments differing in drought and nitrogen stress. To help readers to carry out the statistical analyses, GenStat® programs, 15th Edition and Discovery® version, are presented as “Appendix.” PMID:23487515
Characterizing mammographic images by using generic texture features
2012-01-01
Introduction Although mammographic density is an established risk factor for breast cancer, its use is limited in clinical practice because of a lack of automated and standardized measurement methods. The aims of this study were to evaluate a variety of automated texture features in mammograms as risk factors for breast cancer and to compare them with the percentage mammographic density (PMD) by using a case-control study design. Methods A case-control study including 864 cases and 418 controls was analyzed automatically. Four hundred seventy features were explored as possible risk factors for breast cancer. These included statistical features, moment-based features, spectral-energy features, and form-based features. An elaborate variable selection process using logistic regression analyses was performed to identify those features that were associated with case-control status. In addition, PMD was assessed and included in the regression model. Results Of the 470 image-analysis features explored, 46 remained in the final logistic regression model. An area under the curve of 0.79, with an odds ratio per standard deviation change of 2.88 (95% CI, 2.28 to 3.65), was obtained with validation data. Adding the PMD did not improve the final model. Conclusions Using texture features to predict the risk of breast cancer appears feasible. PMD did not show any additional value in this study. With regard to the features assessed, most of the analysis tools appeared to reflect mammographic density, although some features did not correlate with PMD. It remains to be investigated in larger case-control studies whether these features can contribute to increased prediction accuracy. PMID:22490545
Methodological Reporting of Randomized Trials in Five Leading Chinese Nursing Journals
Shi, Chunhu; Tian, Jinhui; Ren, Dan; Wei, Hongli; Zhang, Lihuan; Wang, Quan; Yang, Kehu
2014-01-01
Background Randomized controlled trials (RCTs) are not always well reported, especially in terms of their methodological descriptions. This study aimed to investigate the adherence of methodological reporting complying with CONSORT and explore associated trial level variables in the Chinese nursing care field. Methods In June 2012, we identified RCTs published in five leading Chinese nursing journals and included trials with details of randomized methods. The quality of methodological reporting was measured through the methods section of the CONSORT checklist and the overall CONSORT methodological items score was calculated and expressed as a percentage. Meanwhile, we hypothesized that some general and methodological characteristics were associated with reporting quality and conducted a regression with these data to explore the correlation. The descriptive and regression statistics were calculated via SPSS 13.0. Results In total, 680 RCTs were included. The overall CONSORT methodological items score was 6.34±0.97 (Mean ± SD). No RCT reported descriptions and changes in “trial design,” changes in “outcomes” and “implementation,” or descriptions of the similarity of interventions for “blinding.” Poor reporting was found in detailing the “settings of participants” (13.1%), “type of randomization sequence generation” (1.8%), calculation methods of “sample size” (0.4%), explanation of any interim analyses and stopping guidelines for “sample size” (0.3%), “allocation concealment mechanism” (0.3%), additional analyses in “statistical methods” (2.1%), and targeted subjects and methods of “blinding” (5.9%). More than 50% of trials described randomization sequence generation, the eligibility criteria of “participants,” “interventions,” and definitions of the “outcomes” and “statistical methods.” The regression analysis found that publication year and ITT analysis were weakly associated with CONSORT score. Conclusions The completeness of methodological reporting of RCTs in the Chinese nursing care field is poor, especially with regard to the reporting of trial design, changes in outcomes, sample size calculation, allocation concealment, blinding, and statistical methods. PMID:25415382
Examining gender salary disparities: an analysis of the 2003 multistate salary survey.
Brown, Lawrence M; Schommer, Jon C; Mott, Dave; Gaither, Caroline A; Doucette, William R; Zgarrick, Dave P; Droege, Marcus
2006-09-01
Pharmacist salary and wage surveys have been conducted at the state and national level for more than 20 years; however, it is not known to what extent, if any, wage disparities due to gender still exist. The overall objective of this study was to determine if wage disparities exist among male and female pharmacists at the multistate and individual state level for each of 6 states studied. A secondary objective was to explore the effect of various demographic variables on the hourly wages of pharmacists. Data were collected from 1,688 pharmacists in 6 states during 2003 using a cross-sectional descriptive survey design. A multiple regression analysis on hourly wage testing the effects of state of practice, practice setting, position, terminal degree, and years in practice was conducted. Subsequent multiple regression analyses were conducted individually for each of the 6 states to test the effects of the above variables on hourly wage for both male and female pharmacists, followed by state-level analyses for male and female pharmacists, respectively. For the pooled data, all variables were found to be significant predictors of hourly wage, except for earning a PharmD degree without a residency or graduate degree. Gender was not a significant predictor of wage disparities in the state-level analyses. Position was the only significant predictor of wage disparities in all states (except Tennessee) such that pharmacists in management positions make significantly higher salaries than those in staff positions. The results of these analyses suggest that wage disparities due to gender do not exist at the state level for the 6 states surveyed, when controlling for practice setting, position, terminal degree, and years in practice. The larger number of men in management positions may explain lower wages for female pharmacists.
Mining Health App Data to Find More and Less Successful Weight Loss Subgroups
2016-01-01
Background More than half of all smartphone app downloads involve weight, diet, and exercise. If successful, these lifestyle apps may have far-reaching effects for disease prevention and health cost-savings, but few researchers have analyzed data from these apps. Objective The purposes of this study were to analyze data from a commercial health app (Lose It!) in order to identify successful weight loss subgroups via exploratory analyses and to verify the stability of the results. Methods Cross-sectional, de-identified data from Lose It! were analyzed. This dataset (n=12,427,196) was randomly split into 24 subsamples, and this study used 3 subsamples (combined n=972,687). Classification and regression tree methods were used to explore groupings of weight loss with one subsample, with descriptive analyses to examine other group characteristics. Data mining validation methods were conducted with 2 additional subsamples. Results In subsample 1, 14.96% of users lost 5% or more of their starting body weight. Classification and regression tree analysis identified 3 distinct subgroups: “the occasional users” had the lowest proportion (4.87%) of individuals who successfully lost weight; “the basic users” had 37.61% weight loss success; and “the power users” achieved the highest percentage of weight loss success at 72.70%. Behavioral factors delineated the subgroups, though app-related behavioral characteristics further distinguished them. Results were replicated in further analyses with separate subsamples. Conclusions This study demonstrates that distinct subgroups can be identified in “messy” commercial app data and the identified subgroups can be replicated in independent samples. Behavioral factors and use of custom app features characterized the subgroups. Targeting and tailoring information to particular subgroups could enhance weight loss success. Future studies should replicate data mining analyses to increase methodology rigor. PMID:27301853
Costa, Patrício; de Carvalho-Filho, Marco Antonio; Schweller, Marcelo; Thiemann, Pia; Salgueira, Ana; Benson, John; Costa, Manuel João; Quince, Thelma
2017-06-01
Understanding medical student empathy is important to future patient care; however, the definition and development of clinical empathy remain unclear. The authors sought to examine the underlying constructs of two of the most widely used self-report instruments-Davis's Interpersonal Reactivity Index (IRI) and the Jefferson Scale of Empathy version for medical students (JSE-S)-plus, the distinctions and associations between these instruments. Between 2007 and 2014, the authors administered the IRI and JSE-S in three separate studies in five countries, (Brazil, Ireland, New Zealand, Portugal, and the United Kingdom). They collected data from 3,069 undergraduate medical students and performed exploratory factor analyses, correlation analyses, and multiple linear regression analyses. Exploratory factor analysis yielded identical results in each country, confirming the subscale structures of each instrument. Results of correlation analyses indicated significant but weak correlations (r = 0.313) between the total IRI and JSE-S scores. All intercorrelations of IRI and JSE-S subscale scores were statistically significant but weak (range r = -0.040 to 0.306). Multiple linear regression models revealed that the IRI subscales were weak predictors of all JSE-S subscale and total scores. The IRI subscales explained between 9.0% and 15.3% of variance for JSE-S subscales and 19.5% for JSE-S total score. The IRI and JSE-S are only weakly related, suggesting that they may measure different constructs. To better understand this distinction, more studies using both instruments and involving students at different stages in their medical education, as well as more longitudinal and qualitative studies, are needed.
Smith, Nicholas; Leiserowitz, Anthony
2012-06-01
This article explores how affective image associations to global warming have changed over time. Four nationally representative surveys of the American public were conducted between 2002 and 2010 to assess public global warming risk perceptions, policy preferences, and behavior. Affective images (positive or negative feelings and cognitive representations) were collected and content analyzed. The results demonstrate a large increase in "naysayer" associations, indicating extreme skepticism about the issue of climate change. Multiple regression analyses found that holistic affect and "naysayer" associations were more significant predictors of global warming risk perceptions than cultural worldviews or sociodemographic variables, including political party and ideology. The results demonstrate the important role affective imagery plays in judgment and decision-making processes, how these variables change over time, and how global warming is currently perceived by the American public. © 2012 Society for Risk Analysis.
Taljaard, Monica; McKenzie, Joanne E; Ramsay, Craig R; Grimshaw, Jeremy M
2014-06-19
An interrupted time series design is a powerful quasi-experimental approach for evaluating effects of interventions introduced at a specific point in time. To utilize the strength of this design, a modification to standard regression analysis, such as segmented regression, is required. In segmented regression analysis, the change in intercept and/or slope from pre- to post-intervention is estimated and used to test causal hypotheses about the intervention. We illustrate segmented regression using data from a previously published study that evaluated the effectiveness of a collaborative intervention to improve quality in pre-hospital ambulance care for acute myocardial infarction (AMI) and stroke. In the original analysis, a standard regression model was used with time as a continuous variable. We contrast the results from this standard regression analysis with those from segmented regression analysis. We discuss the limitations of the former and advantages of the latter, as well as the challenges of using segmented regression in analysing complex quality improvement interventions. Based on the estimated change in intercept and slope from pre- to post-intervention using segmented regression, we found insufficient evidence of a statistically significant effect on quality of care for stroke, although potential clinically important effects for AMI cannot be ruled out. Segmented regression analysis is the recommended approach for analysing data from an interrupted time series study. Several modifications to the basic segmented regression analysis approach are available to deal with challenges arising in the evaluation of complex quality improvement interventions.
Adjusting for Confounding in Early Postlaunch Settings: Going Beyond Logistic Regression Models.
Schmidt, Amand F; Klungel, Olaf H; Groenwold, Rolf H H
2016-01-01
Postlaunch data on medical treatments can be analyzed to explore adverse events or relative effectiveness in real-life settings. These analyses are often complicated by the number of potential confounders and the possibility of model misspecification. We conducted a simulation study to compare the performance of logistic regression, propensity score, disease risk score, and stabilized inverse probability weighting methods to adjust for confounding. Model misspecification was induced in the independent derivation dataset. We evaluated performance using relative bias confidence interval coverage of the true effect, among other metrics. At low events per coefficient (1.0 and 0.5), the logistic regression estimates had a large relative bias (greater than -100%). Bias of the disease risk score estimates was at most 13.48% and 18.83%. For the propensity score model, this was 8.74% and >100%, respectively. At events per coefficient of 1.0 and 0.5, inverse probability weighting frequently failed or reduced to a crude regression, resulting in biases of -8.49% and 24.55%. Coverage of logistic regression estimates became less than the nominal level at events per coefficient ≤5. For the disease risk score, inverse probability weighting, and propensity score, coverage became less than nominal at events per coefficient ≤2.5, ≤1.0, and ≤1.0, respectively. Bias of misspecified disease risk score models was 16.55%. In settings with low events/exposed subjects per coefficient, disease risk score methods can be useful alternatives to logistic regression models, especially when propensity score models cannot be used. Despite better performance of disease risk score methods than logistic regression and propensity score models in small events per coefficient settings, bias, and coverage still deviated from nominal.
Results of the 2014 AORN Salary and Compensation Survey.
Bacon, Donald R; Stewart, Kim A
2014-12-01
AORN conducted its 12th annual compensation survey for perioperative nurses in June and July 2014. A multiple regression model was used to examine how a number of variables, including job title, education level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the data from 2014 and data from previous years are presented. The effects of other forms of compensation (eg, on-call compensation, overtime, bonuses, shift differentials) on base compensation rates also are examined. Additional analyses explore the effect of the economic downturn on the perioperative work environment. Copyright © 2014 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Migration Intentions and Illicit Substance Use among Youth in Central Mexico
Marsiglia, Flavio Francisco; Kulis, Stephen; Hoffman, Steven; Calderón-Tena, Carlos Orestes; Becerra, David; Alvarez, Diana
2011-01-01
This study explored intentions to emigrate and substance use among youth (ages 14–24) from a central Mexico state with high emigration rates. Questionnaires were completed in 2007 by 702 students attending a probability sample of alternative secondary schools serving remote or poor communities. Linear and logistic regression analyses indicated that stronger intentions to emigrate predicted greater access to drugs, drug offers, and use of illicit drugs (marijuana, cocaine, inhalants), but not alcohol or cigarettes. Results are related to the healthy migrant theory and its applicability to youth with limited educational opportunities. The study’s limitations are noted. PMID:21955065
Zhang, Jie; Lester, David; Zhao, Sibo; Zhou, Chengchao
2013-01-01
The present study explored the validity of Joiner's interpersonal theory of suicide in a sample of 439 Chinese university students 17 to 24 years of age. The results indicated that the three elements of the theory (thwarted belongingness, perceived burdensomeness, and acquired capability for self-harm) were associated with current suicidal ideation in the total sample of students. For men, only thwarted belongingness and perceived burdensomeness predicted suicidal ideation, whereas all three elements of the theory predicted suicidal ideation for women. Multiple regression analyses, controlling for other variables, supported the role of burdensomeness and acquired capability for suicide, but not thwarted belongingness.
Kulis, Stephen; Hodge, David R; Ayers, Stephanie L; Brown, Eddie F; Marsiglia, Flavio F
2012-09-01
This article explores the aspects of spirituality and religious involvement that may be the protective factors against substance use among urban American Indian (AI) youth. Data come from AI youth (N = 123) in five urban middle schools in a southwestern metropolis. Ordinary least squares regression analyses indicated that following Christian beliefs and belonging to the Native American Church were associated with lower levels of substance use. Following AI traditional spiritual beliefs was associated with antidrug attitudes, norms, and expectancies. Having a sense of belonging to traditions from both AI cultures and Christianity may foster integration of the two worlds in which urban AI youth live.
Mathad, Monali D; Rajesh, S K; Pradhan, Balaram
2017-12-06
The present study aimed to explore the correlates and predictors of spiritual well-being among nursing students. One hundred and forty-five BSc nursing students were recruited from three nursing colleges in Bangalore, Karnataka, India. Data were collected using SHALOM, FMI, SCS-SF and SWLS questionnaires and analysed by the Pearson correlation test and multiple regression analysis. The results of our study revealed a significant correlation between variables, and a considerable amount of variance was explained by self-compassion, mindfulness and satisfaction with life on personal, communal, environmental and transcendental domains of spiritual well-being.
Ouellet, Nicole; Morris, Diana Lynn
2006-10-01
The purpose of this study was to explore sleep satisfaction and its related factors among 130 older adults living in the community. Descriptive analyses indicated a small proportion of participants (n = 20, 15.4%) were not satisfied with sleep. Best descriptors of sleep satisfaction were the total amount of sleep, number of awakenings, depth of sleep, and overall quality of sleep. Regression analysis showed depression was negatively related to sleep satisfaction after controlling for age and number of illnesses (p < .05). Findings indicate the need for nurses to assess for factors such as depressive symptoms and anxiety associated with sleep satisfaction.
An Empirical Analysis of the Default Rate of Informal Lending—Evidence from Yiwu, China
NASA Astrophysics Data System (ADS)
Lu, Wei; Yu, Xiaobo; Du, Juan; Ji, Feng
This study empirically analyzes the underlying factors contributing to the default rate of informal lending. This paper adopts snowball sampling interview to collect data and uses the logistic regression model to explore the specific factors. The results of these analyses validate the explanation of how the informal lending differs from the commercial loan. Factors that contribute to the default rate have particular attributes, while sharing some similarities with commercial bank or FICO credit scoring Index. Finally, our concluding remarks draw some inferences from empirical analysis and speculate as to what this may imply for the role of formal and informal financial sectors.
Results of the 2015 AORN Salary and Compensation Survey.
Bacon, Donald R; Stewart, Kim A
2015-12-01
AORN conducted its 13th annual compensation survey for perioperative nurses in June and July 2015. A multiple regression model was used to examine how a number of variables, including job title, education level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the 2015 data and data from previous years are presented. The effects of other forms of compensation (eg, on-call compensation, overtime, bonuses, shift differentials, benefits) on base compensation rates also are examined. Additional analyses explore the effect of the economic downturn on the perioperative work environment. Copyright © 2015 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Results of the 2011 AORN Salary and Compensation Survey.
Bacon, Donald
2011-12-01
AORN conducted its ninth annual compensation survey for perioperative nurses in June and July 2011. A multiple regression model was used to examine how a number of variables, including job title, education level, certification, experience, and geographic region, affect nurse compensation. Comparisons between the 2011 data and data from previous years are presented. The effects of other forms of compensation, such as on-call compensation, overtime, bonuses, and shift differentials, on base compensation rates also are examined. Additional analyses explore the effect of the current economic downturn on the perioperative work environment. Copyright © 2011 AORN, Inc. Published by Elsevier Inc. All rights reserved.
Magee, Joshua C; Ritterband, Lee M; Thorndike, Frances P; Cox, Daniel J; Borowitz, Stephen M
2009-06-01
To investigate whether parental worry about their children's health predicts usage of a pediatric Internet intervention for encopresis. Thirty-nine families with a child diagnosed with encopresis completed a national clinical trial of an Internet-based intervention for encopresis (www.ucanpooptoo.com). Parents rated worry about their children's health, encopresis severity, current parent treatment for depression, and parent comfort with the Internet. Usage indicators were collected while participants utilized the intervention. Regression analyses showed that parents who reported higher baseline levels of worry about their children's health showed greater subsequent intervention use (beta =.52, p =.002), even after accounting for other plausible predictors. Exploratory analyses indicated that this effect may be stronger for families with younger children. Characteristics of individuals using Internet-based treatment programs, such as parental worry about their children's health, can influence intervention usage, and should be considered by developers of Internet interventions.
The Role of Positive Alcohol Expectancies in Underage Binge Drinking Among College Students
McBride, Nicole M.; Barrett, Blake; Moore, Kathleen A.; Schonfeld, Lawrence
2014-01-01
Objective This study explored associations between positive alcohol expectancies, demographics, as well as academic status and binge drinking among underage college students. Participants A sample of 1,553 underage college students at three public universities and one college in the southeast who completed the Core Alcohol and Drug Survey in the spring 2013 semester. Methods A series of bivariate analyses and logistic regression models were used to examine associations between demographic and academic status variables as well as positive alcohol expectancies with self-reported binge drinking. Positive alcohol expectancies were examined in multivariable models via two factors derived from principal component analyses. Results Students who endorsed higher agreement of these two emergent factors (Sociability; Sexuality) were more likely to report an occurrence of binge drinking in the past two weeks. Conclusions Study results document associations between positive alcohol expectancies and binge drinking among underage students; implications for prevention and treatment are discussed. PMID:24678848
imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel.
Grapov, Dmitry; Newman, John W
2012-09-01
Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010).
Evans, Jamie; Fitch, Christopher; Collard, Sharon; Henderson, Claire
2018-04-27
In recent years, the UK debt collection industry has taken steps to improve its policies and practices in relation to customers with mental health problems. Little data, however, have been collected to evidence change. This paper examines whether the reported attitudes and practices of debt collection staff when working with customers with mental health problems have changed between 2010 and 2016. This paper draws on descriptive and regression analyses of two cross-sectional surveys of debt collection staff: one conducted in 2010 and one conducted in 2016. All variables analysed show statistically significant changes between 2010 and 2016 indicative of improved reported attitudes and practices. While results suggest an improvement in attitudes and practice may have occurred between 2010 and 2016, research is required to understand this potential shift, its likely causes, and concrete impact on customers.
Associations Between Quality of Life and Functioning in an Assertive Community Treatment Population.
Clausen, Hanne; Landheim, Anne; Odden, Sigrun; Heiervang, Kristin Sverdvik; Stuen, Hanne Kilen; Killaspy, Helen; Šaltytė Benth, Jurate; Ruud, Torleif
2015-11-01
Level of functioning is positively associated with subjective quality of life for people with severe mental illness, but a detailed relationship between functioning and satisfaction with various life domains is largely unknown, and this gap prompted this study. Demographic and clinical data were obtained from 149 patients engaged with 12 assertive community treatment teams in Norway. Multivariate regression analyses were used to explore associations between subjective quality of life and patient characteristics. Analyses confirmed positive associations between quality of life and age, functioning, and weekly contact with family and friends and a negative association with anxiety and depressive symptoms. Positive associations between several areas of practical and social functioning and satisfaction with related life domains also were found. Although a causal direction of the associations between functioning and life satisfaction has not been determined in this study, the positive findings might indicate that programs aiming to improve functioning could affect patients' quality of life.
Khanfar, Mohammad A; Banat, Fahmy; Alabed, Shada; Alqtaishat, Saja
2017-02-01
High expression of Nek2 has been detected in several types of cancer and it represents a novel target for human cancer. In the current study, structure-based pharmacophore modeling combined with multiple linear regression (MLR)-based QSAR analyses was applied to disclose the structural requirements for NEK2 inhibition. Generated pharmacophoric models were initially validated with receiver operating characteristic (ROC) curve, and optimum models were subsequently implemented in QSAR modeling with other physiochemical descriptors. QSAR-selected models were implied as 3D search filters to mine the National Cancer Institute (NCI) database for novel NEK2 inhibitors, whereas the associated QSAR model prioritized the bioactivities of captured hits for in vitro evaluation. Experimental validation identified several potent NEK2 inhibitors of novel structural scaffolds. The most potent captured hit exhibited an [Formula: see text] value of 237 nM.
Hospitalizations Among Homeless Women: Are There Ethnic and Drug Abuse Disparities?
Gelberg, Lillian; Andersen, Ronald; Longshore, Douglas; Leake, Barbara; Nyamathi, Adeline; Teruya, Cheryl; Arangua, Lisa
2013-01-01
This paper explores associations among the vulnerabilities of being female, being a member of a minority group, and being a drug abuser in homeless women’s hospitalizations. It uses a 1997 probability survey of 974 homeless females age 15–44 in Los Angeles. In unadjusted analyses, whites were more likely than other ethnic minority groups to be hospitalized, and drug abusers were more likely to be hospitalized than non-drug abusers. Multiple logistic regression analyses indicated that factors associated with hospitalization differed considerably among the ethnic and drug-abuse subgroups. For example, ethnic disparities in inpatient health care were found for drug-abusing women, but not for those who did not abuse drugs. Pregnancy was the only important determinant of hospitalization in all subgroups (OR, 2.9–17.4). Preventing unintended pregnancy appears to be the most inclusive means of reducing hospitalization and attendant costs among homeless women. PMID:18923904
Spatial regression models of park and land-use impacts on the urban heat island in central Beijing.
Dai, Zhaoxin; Guldmann, Jean-Michel; Hu, Yunfeng
2018-06-01
Understanding the relationship between urban land structure and land surface temperatures (LST) is important for mitigating the urban heat island (UHI). This paper explores this relationship within central Beijing, an area located within the 2nd Ring Road. The urban variables include the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Build-up Index (NDBI), the area of building footprints, the area of main roads, the area of water bodies and a gravity index for parks that account for both park size and distance. The data are captured over 8 grids of square cells (30 m, 60 m, 90 m, 120 m, 150 m, 180 m, 210 m, 240 m). The research involves: (1) estimating land surface temperatures using Landsat 8 satellite imagery, (2) building the database of urban variables, and (3) conducting regression analyses. The results show that (1) all the variables impact surface temperatures, (2) spatial regressions are necessary to capture neighboring effects, and (3) higher-order polynomial functions are more suitable for capturing the effects of NDVI and NDBI. Copyright © 2018 Elsevier B.V. All rights reserved.
Beyond Reading Alone: The Relationship Between Aural Literacy And Asthma Management
Rosenfeld, Lindsay; Rudd, Rima; Emmons, Karen M.; Acevedo-García, Dolores; Martin, Laurie; Buka, Stephen
2010-01-01
Objectives To examine the relationship between literacy and asthma management with a focus on the oral exchange. Methods Study participants, all of whom reported asthma, were drawn from the New England Family Study (NEFS), an examination of links between education and health. NEFS data included reading, oral (speaking), and aural (listening) literacy measures. An additional survey was conducted with this group of study participants related to asthma issues, particularly asthma management. Data analysis focused on bivariate and multivariable logistic regression. Results In bivariate logistic regression models exploring aural literacy, there was a statistically significant association between those participants with lower aural literacy skills and less successful asthma management (OR:4.37, 95%CI:1.11, 17.32). In multivariable logistic regression analyses, controlling for gender, income, and race in separate models (one-at-a-time), there remained a statistically significant association between those participants with lower aural literacy skills and less successful asthma management. Conclusion Lower aural literacy skills seem to complicate asthma management capabilities. Practice Implications Greater attention to the oral exchange, in particular the listening skills highlighted by aural literacy, as well as other related literacy skills may help us develop strategies for clear communication related to asthma management. PMID:20399060
ERIC Educational Resources Information Center
Shafiq, M. Najeeb
2011-01-01
Using quantile regression analyses, this study examines gender gaps in mathematics, science, and reading in Azerbaijan, Indonesia, Jordan, the Kyrgyz Republic, Qatar, Tunisia, and Turkey among 15 year-old students. The analyses show that girls in Azerbaijan achieve as well as boys in mathematics and science and overachieve in reading. In Jordan,…
A general framework for the use of logistic regression models in meta-analysis.
Simmonds, Mark C; Higgins, Julian Pt
2016-12-01
Where individual participant data are available for every randomised trial in a meta-analysis of dichotomous event outcomes, "one-stage" random-effects logistic regression models have been proposed as a way to analyse these data. Such models can also be used even when individual participant data are not available and we have only summary contingency table data. One benefit of this one-stage regression model over conventional meta-analysis methods is that it maximises the correct binomial likelihood for the data and so does not require the common assumption that effect estimates are normally distributed. A second benefit of using this model is that it may be applied, with only minor modification, in a range of meta-analytic scenarios, including meta-regression, network meta-analyses and meta-analyses of diagnostic test accuracy. This single model can potentially replace the variety of often complex methods used in these areas. This paper considers, with a range of meta-analysis examples, how random-effects logistic regression models may be used in a number of different types of meta-analyses. This one-stage approach is compared with widely used meta-analysis methods including Bayesian network meta-analysis and the bivariate and hierarchical summary receiver operating characteristic (ROC) models for meta-analyses of diagnostic test accuracy. © The Author(s) 2014.
Biondi-Zoccai, Giuseppe; Mastrangeli, Simona; Romagnoli, Enrico; Peruzzi, Mariangela; Frati, Giacomo; Roever, Leonardo; Giordano, Arturo
2018-01-17
Atherosclerosis has major morbidity and mortality implications globally. While it has often been considered an irreversible degenerative process, recent evidence provides compelling proof that atherosclerosis can be reversed. Plaque regression is however difficult to appraise and quantify, with competing diagnostic methods available. Given the potential of evidence synthesis to provide clinical guidance, we aimed to review recent meta-analyses on diagnostic methods for atherosclerotic plaque regression. We identified 8 meta-analyses published between 2015 and 2017, including 79 studies and 14,442 patients, followed for a median of 12 months. They reported on atherosclerotic plaque regression appraised with carotid duplex ultrasound, coronary computed tomography, carotid magnetic resonance, coronary intravascular ultrasound, and coronary optical coherence tomography. Overall, all meta-analyses showed significant atherosclerotic plaque regression with lipid-lowering therapy, with the most notable effects on echogenicity, lipid-rich necrotic core volume, wall/plaque volume, dense calcium volume, and fibrous cap thickness. Significant interactions were found with concomitant changes in low density lipoprotein cholesterol, high density lipoprotein cholesterol, and C-reactive protein levels, and with ethnicity. Atherosclerotic plaque regression and conversion to a stable phenotype is possible with intensive medical therapy and can be demonstrated in patients using a variety of non-invasive and invasive imaging modalities.
Bowden, Jack; Del Greco M, Fabiola; Minelli, Cosetta; Davey Smith, George; Sheehan, Nuala A; Thompson, John R
2016-12-01
: MR-Egger regression has recently been proposed as a method for Mendelian randomization (MR) analyses incorporating summary data estimates of causal effect from multiple individual variants, which is robust to invalid instruments. It can be used to test for directional pleiotropy and provides an estimate of the causal effect adjusted for its presence. MR-Egger regression provides a useful additional sensitivity analysis to the standard inverse variance weighted (IVW) approach that assumes all variants are valid instruments. Both methods use weights that consider the single nucleotide polymorphism (SNP)-exposure associations to be known, rather than estimated. We call this the `NO Measurement Error' (NOME) assumption. Causal effect estimates from the IVW approach exhibit weak instrument bias whenever the genetic variants utilized violate the NOME assumption, which can be reliably measured using the F-statistic. The effect of NOME violation on MR-Egger regression has yet to be studied. An adaptation of the I2 statistic from the field of meta-analysis is proposed to quantify the strength of NOME violation for MR-Egger. It lies between 0 and 1, and indicates the expected relative bias (or dilution) of the MR-Egger causal estimate in the two-sample MR context. We call it IGX2 . The method of simulation extrapolation is also explored to counteract the dilution. Their joint utility is evaluated using simulated data and applied to a real MR example. In simulated two-sample MR analyses we show that, when a causal effect exists, the MR-Egger estimate of causal effect is biased towards the null when NOME is violated, and the stronger the violation (as indicated by lower values of IGX2 ), the stronger the dilution. When additionally all genetic variants are valid instruments, the type I error rate of the MR-Egger test for pleiotropy is inflated and the causal effect underestimated. Simulation extrapolation is shown to substantially mitigate these adverse effects. We demonstrate our proposed approach for a two-sample summary data MR analysis to estimate the causal effect of low-density lipoprotein on heart disease risk. A high value of IGX2 close to 1 indicates that dilution does not materially affect the standard MR-Egger analyses for these data. : Care must be taken to assess the NOME assumption via the IGX2 statistic before implementing standard MR-Egger regression in the two-sample summary data context. If IGX2 is sufficiently low (less than 90%), inferences from the method should be interpreted with caution and adjustment methods considered. © The Author 2016. Published by Oxford University Press on behalf of the International Epidemiological Association.
Modelling of capital asset pricing by considering the lagged effects
NASA Astrophysics Data System (ADS)
Sukono; Hidayat, Y.; Bon, A. Talib bin; Supian, S.
2017-01-01
In this paper the problem of modelling the Capital Asset Pricing Model (CAPM) with the effect of the lagged is discussed. It is assumed that asset returns are analysed influenced by the market return and the return of risk-free assets. To analyse the relationship between asset returns, the market return, and the return of risk-free assets, it is conducted by using a regression equation of CAPM, and regression equation of lagged distributed CAPM. Associated with the regression equation lagged CAPM distributed, this paper also developed a regression equation of Koyck transformation CAPM. Results of development show that the regression equation of Koyck transformation CAPM has advantages, namely simple as it only requires three parameters, compared with regression equation of lagged distributed CAPM.
On Bayesian methods of exploring qualitative interactions for targeted treatment.
Chen, Wei; Ghosh, Debashis; Raghunathan, Trivellore E; Norkin, Maxim; Sargent, Daniel J; Bepler, Gerold
2012-12-10
Providing personalized treatments designed to maximize benefits and minimizing harms is of tremendous current medical interest. One problem in this area is the evaluation of the interaction between the treatment and other predictor variables. Treatment effects in subgroups having the same direction but different magnitudes are called quantitative interactions, whereas those having opposite directions in subgroups are called qualitative interactions (QIs). Identifying QIs is challenging because they are rare and usually unknown among many potential biomarkers. Meanwhile, subgroup analysis reduces the power of hypothesis testing and multiple subgroup analyses inflate the type I error rate. We propose a new Bayesian approach to search for QI in a multiple regression setting with adaptive decision rules. We consider various regression models for the outcome. We illustrate this method in two examples of phase III clinical trials. The algorithm is straightforward and easy to implement using existing software packages. We provide a sample code in Appendix A. Copyright © 2012 John Wiley & Sons, Ltd.
Contextual predictive factors of child sexual abuse: the role of parent-child interaction.
Ramírez, Clemencia; Pinzón-Rondón, Angela María; Botero, Juan Carlos
2011-12-01
To determine the prevalence of child sexual abuse in the Colombian coasts, as well as to assess the role of parent-child interactions on its occurrence and to identify factors from different environmental levels that predict it. This cross-sectional study explores the results of 1,089 household interviews responded by mothers. Descriptive analyses and multivariate logistic regressions were conducted, with child sexual abuse regressed on parent-child interactions, children's characteristics, maternal characteristics, family characteristics, and community characteristics. 1.2% of the mothers reported that their children had been sexually abused. Families that communicated with their children were less likely to report child sexual abuse, each additional standard deviation of communication reduced child sexual abuse 3.5 times. Affection and negative treatment to the children were not associated with child sexual abuse. Families who experienced intimate partner violence and violent communities were more likely to experience child sexual abuse. Interventions are needed to address the problem of child sexual abuse. Copyright © 2011 Elsevier Ltd. All rights reserved.
Wang, Yang; Ramos, Aaron; Wu, Hui; Liu, Li; Yang, Xiaoshi; Wang, Jiana; Wang, Lie
2015-07-01
Teaching has been reported to be one of the most stressful occupations in the world. Few studies have been conducted to explore the effects of occupational stress on burnout among teachers in developing countries. This study aimed to explore the relationship between occupational stress and burnout among teachers in primary and secondary schools in the Liaoning Province of China. A questionnaire that assessed occupational stress comprised of Karasek's job content questionnaire (JCQ), Siegrist's effort-reward imbalance questionnaire (ERI), and burnout assessed by the Maslach Burnout Inventory-General Survey was distributed to 681 teachers in primary and secondary schools. A total of 559 effective respondents became our final study subjects. Hierarchical linear regression and logistic regression analyses were performed through the use of SPSS 17.0 to explore the association between occupational stress and burnout. A high level of emotional exhaustion was significantly associated with high extrinsic effort, high overcommitment, low skill discretion, and high job demand. A high level of cynicism was associated with low reward, low skill discretion, high overcommitment, and low supervisor support. The low level of professional efficacy was associated with low coworker support, low reward, low skill discretion, and high job demand. Compared to the JCQ, the ERI was more likely to explain the burnout of teachers in our study. Occupational stress proved to be associated with dimensions of burnout among Chinese teachers. It is important for administrators of primary and middle schools to note that strategies to decrease teachers' occupational stress seem to be crucial to enhance physical and mental health of teachers in China.
González-Roz, Alba; Fernández-Hermida, José R; Weidberg, Sara; Martínez-Loredo, Victor; Secades-Villa, Roberto
2017-06-01
The high availability and accessibility of online gambling have recently caused public concern regarding the potential increase of gambling-related problems among young people. Nonetheless, few studies among adults and none among adolescents have explored specific characteristics of gamblers as a function of gambling venues to date. This study sought to analyze the prevalence of gambling among a sample of adolescents in the last year, as well as sociodemographic and gambling-related characteristics as possible predictors of at-risk and problem gambling. The sample comprised 1313 adolescents aged 14-18 years. Participants were asked to respond to several questions regarding their gambling behavior. Chi square and ANOVA tests were performed in order to explore differences between groups, and a set of multinomial regressions established significant severity predictors. The prevalence of at-risk and problem gambling was 4 and 1.2 %, respectively. Regression analyses showed that having a relative with gambling problems predicted at-risk gambling. Both living with only one parent or not living with parents at all, and the prevalence of Electronic Gambling Machines in the last year were associated with problem gambling. Mixed-mode gambling was a predictor of both at-risk and problem gambling. Our findings extend previous research on gambling among adolescents by exploring gambling behavior according to different modes of access. Although the prevalence of exclusive online gambling among the total sample was low, these results support the need to consider specific subgroups of gamblers and their concrete related features when conducting both indicated prevention and treatment protocols for adolescents.
Job satisfaction amongst aged care staff: exploring the influence of person-centered care provision.
Edvardsson, David; Fetherstonhaugh, Deirdre; McAuliffe, Linda; Nay, Rhonda; Chenco, Carol
2011-10-01
There are challenges in attracting and sustaining a competent and stable workforce in aged care, and key issues of concern such as low staff job satisfaction and feelings of not being able to provide high quality care have been described. This study aimed to explore the association between person-centered care provision and job satisfaction in aged care staff. Residential aged care staff (n = 297) in Australia completed the measure of job satisfaction and the person-centered care assessment tool. Univariate analyses examined relationships between variables, and multiple linear regression analysis explored the extent to whichperceived person-centredness could predict job satisfaction of staff. Perceived person-centred care provision was significantly associated with job satisfaction, and person-centred care provision could explain nearly half of the variation in job satisfaction. The regression model with the three person-centered care subscales as predictor variables accounted for 40% of the variance in job satisfaction. Personalizing care had the largest independent influence on job satisfaction, followed by amount of organizational support and degree of environmental accessibility. Personalizing care and amount of organizational support had a statistically significant unique influence. As person-centered care positively correlated with staff job satisfaction, supporting staff in providing person-centered care can enhance job satisfaction and might facilitate attracting and retaining staff in residential aged care. The findings reiterate a need to shift focus from merely completing care tasks and following organizational routines to providing high quality person-centered care that promotes the good life of residents in aged care.
Brown, C. Erwin
1993-01-01
Correlation analysis in conjunction with principal-component and multiple-regression analyses were applied to laboratory chemical and petrographic data to assess the usefulness of these techniques in evaluating selected physical and hydraulic properties of carbonate-rock aquifers in central Pennsylvania. Correlation and principal-component analyses were used to establish relations and associations among variables, to determine dimensions of property variation of samples, and to filter the variables containing similar information. Principal-component and correlation analyses showed that porosity is related to other measured variables and that permeability is most related to porosity and grain size. Four principal components are found to be significant in explaining the variance of data. Stepwise multiple-regression analysis was used to see how well the measured variables could predict porosity and (or) permeability for this suite of rocks. The variation in permeability and porosity is not totally predicted by the other variables, but the regression is significant at the 5% significance level. ?? 1993.
Rippin, H L; Hutchinson, J; Ocke, M; Jewell, J; Breda, J J; Cade, J E
2017-01-01
Trans fatty acids (TFA) increase the risk of mortality and chronic diseases. TFA intakes have fallen since reformulation, but may still be high in certain, vulnerable, groups. This paper investigates socio-economic and food consumption characteristics of high TFA consumers after voluntary reformulation in the Netherlands and UK. Post-reformulation data of adults aged 19-64 was analysed in two national surveys: the Dutch National Food Consumption Survey (DNFCS) collected 2007-2010 using 2*24hr recalls (N = 1933) and the UK National Diet and Nutrition Survey (NDNS) years 3&4 collected 2010/11 and 2011/12 using 4-day food diaries (N = 848). The socio-economic and food consumption characteristics of the top 10% and remaining 90% TFA consumers were compared. Means of continuous data were compared using t-tests and categorical data means using chi-squared tests. Multivariate logistic regression models indicated which socio-demographic variables were associated with high TFA consumption. In the Dutch analyses, women and those born outside the Netherlands were more likely to be top 10% TFA consumers than men and Dutch-born. In the UK unadjusted analyses there was no significant trend in socio-economic characteristics between high and lower TFA consumers, but there were regional differences in the multivariate logistic regression analyses. In the Netherlands, high TFA consumers were more likely to be consumers of cakes, buns & pastries; cream; and fried potato than the remaining 90%. Whereas in the UK, high TFA consumers were more likely to be consumers of lamb; cheese; and dairy desserts and lower crisps and savoury snack consumers. Some socio-demographic differences between high and lower TFA consumers were evident post-reformulation. High TFA consumers in the Dutch 2007-10 survey appeared more likely to obtain TFA from artificial sources than those in the UK survey. Further analyses using more up-to-date food composition databases may be needed.
Chung, Yuh-Jin; Jung, Woo-Chul
2017-01-01
In the distribution service industry, sales people often experience multiple occupational stressors such as excessive emotional labor, workplace mistreatment, and job insecurity. The present study aimed to explore the associations of these stressors with depressive symptoms among women sales workers at a clothing shopping mall in Korea. A cross sectional study was conducted on 583 women who consist of clothing sales workers and manual workers using a structured questionnaire to assess demographic factors, occupational stressors, and depressive symptoms. Multiple regression analyses were performed to explore the association of these stressors with depressive symptoms. Scores for job stress subscales such as job demand, job control, and job insecurity were higher among sales workers than among manual workers (p < 0.01). The multiple regression analysis revealed the association between occupation and depressive symptoms after controlling for age, educational level, cohabiting status, and occupational stressors (sβ = 0.08, p = 0.04). A significant interaction effect between occupation and social support was also observed in this model (sβ = −0.09, p = 0.02). The multiple regression analysis stratified by occupation showed that job demand, job insecurity, and workplace mistreatment were significantly associated with depressive symptoms in both occupations (p < 0.05), although the strength of statistical associations were slightly different. We found negative associations of social support (sβ = −0.22, p < 0.01) and emotional effort (sβ = −0.17, p < 0.01) with depressive symptoms in another multiple regression model for sales workers. Emotional dissonance (sβ = 0.23, p < 0.01) showed positive association with depressive symptoms in this model. The result of this study indicated that reducing occupational stressors would be effective for women sales workers to prevent depressive symptoms. In particular, promoting social support could be the most effective way to promote women sales workers’ mental health. PMID:29168777
Sharer, Melissa; Cluver, Lucie; Shields, Joseph J; Ahearn, Frederick
2016-03-01
Children affected by HIV and AIDS have significantly higher rates of mental health problems than unaffected children. There is a need for research to examine how social support functions as a source of resiliency for children in high HIV-prevalence settings such as South Africa. The purpose of this research was to explore how family social support relates to depression, anxiety, and post-traumatic stress (PTS). Using the ecological model as a frame, data were drawn from a 2011 cross-sectional study of 1380 children classified as either orphaned by AIDS and/or living with an AIDS sick family member. The children were from high-poverty, high HIV-prevalent rural and urban communities in South Africa. Social support was analyzed in depth by examining the source (e.g. caregiver, sibling) and the type (e.g. emotional, instrumental, quality). These variables were entered into multiple regression analyses to estimate the most parsimonious regression models to show the relationships between social support and depression, anxiety, and PTS symptoms among the children. Siblings emerged as the most consistent source of social support on mental health. Overall caregiver and sibling support explained 13% variance in depression, 12% in anxiety, and 11% in PTS. Emotional support was the most frequent type of social support associated with mental health in all regression models, with higher levels of quality and instrumental support having the strongest relation to positive mental health outcomes. Although instrumental and quality support from siblings were related to positive mental health, unexpectedly, the higher the level of emotional support received from a sibling resulted in the child reporting more symptoms of depression, anxiety, and PTS. The opposite was true for emotional support provided via caregivers, higher levels of this support was related to lower levels of all mental health symptoms. Sex was significant in all regressions, indicating the presence of moderation.
Sharer, Melissa; Cluver, Lucie; Shields, Joseph J.; Ahearn, Frederick
2016-01-01
ABSTRACT Children affected by HIV and AIDS have significantly higher rates of mental health problems than unaffected children. There is a need for research to examine how social support functions as a source of resiliency for children in high HIV-prevalence settings such as South Africa. The purpose of this research was to explore how family social support relates to depression, anxiety, and post-traumatic stress (PTS). Using the ecological model as a frame, data were drawn from a 2011 cross-sectional study of 1380 children classified as either orphaned by AIDS and/or living with an AIDS sick family member. The children were from high-poverty, high HIV-prevalent rural and urban communities in South Africa. Social support was analyzed in depth by examining the source (e.g. caregiver, sibling) and the type (e.g. emotional, instrumental, quality). These variables were entered into multiple regression analyses to estimate the most parsimonious regression models to show the relationships between social support and depression, anxiety, and PTS symptoms among the children. Siblings emerged as the most consistent source of social support on mental health. Overall caregiver and sibling support explained 13% variance in depression, 12% in anxiety, and 11% in PTS. Emotional support was the most frequent type of social support associated with mental health in all regression models, with higher levels of quality and instrumental support having the strongest relation to positive mental health outcomes. Although instrumental and quality support from siblings were related to positive mental health, unexpectedly, the higher the level of emotional support received from a sibling resulted in the child reporting more symptoms of depression, anxiety, and PTS. The opposite was true for emotional support provided via caregivers, higher levels of this support was related to lower levels of all mental health symptoms. Sex was significant in all regressions, indicating the presence of moderation. PMID:27392006
Chung, Yuh-Jin; Jung, Woo-Chul; Kim, Hyunjoo; Cho, Seong-Sik
2017-11-23
In the distribution service industry, sales people often experience multiple occupational stressors such as excessive emotional labor, workplace mistreatment, and job insecurity. The present study aimed to explore the associations of these stressors with depressive symptoms among women sales workers at a clothing shopping mall in Korea. A cross sectional study was conducted on 583 women who consist of clothing sales workers and manual workers using a structured questionnaire to assess demographic factors, occupational stressors, and depressive symptoms. Multiple regression analyses were performed to explore the association of these stressors with depressive symptoms. Scores for job stress subscales such as job demand, job control, and job insecurity were higher among sales workers than among manual workers ( p < 0.01). The multiple regression analysis revealed the association between occupation and depressive symptoms after controlling for age, educational level, cohabiting status, and occupational stressors (sβ = 0.08, p = 0.04). A significant interaction effect between occupation and social support was also observed in this model (sβ = -0.09, p = 0.02). The multiple regression analysis stratified by occupation showed that job demand, job insecurity, and workplace mistreatment were significantly associated with depressive symptoms in both occupations ( p < 0.05), although the strength of statistical associations were slightly different. We found negative associations of social support (sβ = -0.22, p < 0.01) and emotional effort (sβ = -0.17, p < 0.01) with depressive symptoms in another multiple regression model for sales workers. Emotional dissonance (sβ = 0.23, p < 0.01) showed positive association with depressive symptoms in this model. The result of this study indicated that reducing occupational stressors would be effective for women sales workers to prevent depressive symptoms. In particular, promoting social support could be the most effective way to promote women sales workers' mental health.
Childhood Leukemia and 50 Hz Magnetic Fields: Findings from the Italian SETIL Case-Control Study
Salvan, Alberto; Ranucci, Alessandra; Lagorio, Susanna; Magnani, Corrado
2015-01-01
We report on an Italian case-control study on childhood leukemia and exposure to extremely low frequency magnetic fields (ELF-MF). Eligible for inclusion were 745 leukemia cases, aged 0–10 years at diagnosis in 1998–2001, and 1475 sex- and age-matched population controls. Parents of 683 cases and 1044 controls (92% vs. 71%) were interviewed. ELF-MF measurements (24–48 h), in the child’s bedroom of the dwelling inhabited one year before diagnosis, were available for 412 cases and 587 controls included in the main conditional regression analyses. The magnetic field induction was 0.04 μT on average (geometric mean), with 0.6% of cases and 1.6% of controls exposed to >0.3 μT. The impact of changes in the statistical model, exposure metric, and data-set restriction criteria was explored via sensitivity analyses. No exposure-disease association was observed in analyses based on continuous exposure, while analyses based on categorical variables were characterized by incoherent exposure-outcome relationships. In conclusion, our results may be affected by several sources of bias and they are noninformative at exposure levels >0.3 μT. Nonetheless, the study may contribute to future meta- or pooled analyses. Furthermore, exposure levels among population controls are useful to estimate attributable risk. PMID:25689995
Bonsel, Gouke J.
2016-01-01
Background Intersectoral perspectives of health are present in the rhetoric of the sustainable development goals. Yet its descriptions of systematic approaches for an intersectoral monitoring vision, joining determinants of health, and barriers or facilitators to accessing healthcare services are lacking. Objective To explore models of associations between health outcomes and health service coverage, and health determinants and health systems responsiveness, and thereby to contribute to monitoring, analysis, and assessment approaches informed by an intersectoral vision of health. Design The study is designed as a series of ecological, cross-country regression analyses, covering between 23 and 57 countries with dependent health variables concentrated on the years 2002–2003. Countries cover a range of development contexts. Health outcome and health service coverage dependent variables were derived from World Health Organization (WHO) information sources. Predictor variables representing determinants are derived from the WHO and World Bank databases; variables used for health systems’ responsiveness are derived from the WHO World Health Survey. Responsiveness is a measure of acceptability of health services to the population, complementing financial health protection. Results Health determinants’ indicators – access to improved drinking sources, accountability, and average years of schooling – were statistically significant in particular health outcome regressions. Statistically significant coefficients were more common for mortality rate regressions than for coverage rate regressions. Responsiveness was systematically associated with poorer health and health service coverage. With respect to levels of inequality in health, the indicator of responsiveness problems experienced by the unhealthy poor groups in the population was statistically significant for regressions on measles vaccination inequalities between rich and poor. For the broader determinants, the Gini mattered most for inequalities in child mortality; education mattered more for inequalities in births attended by skilled personnel. Conclusions This paper adds to the literature on comparative health systems research. National and international health monitoring frameworks need to incorporate indicators on trends in and impacts of other policy sectors on health. This will empower the health sector to carry out public health practices that promote health and health equity. PMID:26942516
Valentine, Nicole Britt; Bonsel, Gouke J
2016-01-01
Intersectoral perspectives of health are present in the rhetoric of the sustainable development goals. Yet its descriptions of systematic approaches for an intersectoral monitoring vision, joining determinants of health, and barriers or facilitators to accessing healthcare services are lacking. To explore models of associations between health outcomes and health service coverage, and health determinants and health systems responsiveness, and thereby to contribute to monitoring, analysis, and assessment approaches informed by an intersectoral vision of health. The study is designed as a series of ecological, cross-country regression analyses, covering between 23 and 57 countries with dependent health variables concentrated on the years 2002-2003. Countries cover a range of development contexts. Health outcome and health service coverage dependent variables were derived from World Health Organization (WHO) information sources. Predictor variables representing determinants are derived from the WHO and World Bank databases; variables used for health systems' responsiveness are derived from the WHO World Health Survey. Responsiveness is a measure of acceptability of health services to the population, complementing financial health protection. Health determinants' indicators - access to improved drinking sources, accountability, and average years of schooling - were statistically significant in particular health outcome regressions. Statistically significant coefficients were more common for mortality rate regressions than for coverage rate regressions. Responsiveness was systematically associated with poorer health and health service coverage. With respect to levels of inequality in health, the indicator of responsiveness problems experienced by the unhealthy poor groups in the population was statistically significant for regressions on measles vaccination inequalities between rich and poor. For the broader determinants, the Gini mattered most for inequalities in child mortality; education mattered more for inequalities in births attended by skilled personnel. This paper adds to the literature on comparative health systems research. National and international health monitoring frameworks need to incorporate indicators on trends in and impacts of other policy sectors on health. This will empower the health sector to carry out public health practices that promote health and health equity.
Kanamori, Shogo; Castro, Marcia C; Sow, Seydou; Matsuno, Rui; Cissokho, Alioune; Jimba, Masamine
2016-01-01
The 5S method is a lean management tool for workplace organization, with 5S being an abbreviation for five Japanese words that translate to English as Sort, Set in Order, Shine, Standardize, and Sustain. In Senegal, the 5S intervention program was implemented in 10 health centers in two regions between 2011 and 2014. To identify the impact of the 5S intervention program on the satisfaction of clients (patients and caretakers) who visited the health centers. A standardized 5S intervention protocol was implemented in the health centers using a quasi-experimental separate pre-post samples design (four intervention and three control health facilities). A questionnaire with 10 five-point Likert items was used to measure client satisfaction. Linear regression analysis was conducted to identify the intervention's effect on the client satisfaction scores, represented by an equally weighted average of the 10 Likert items (Cronbach's alpha=0.83). Additional regression analyses were conducted to identify the intervention's effect on the scores of each Likert item. Backward stepwise linear regression ( n= 1,928) indicated a statistically significant effect of the 5S intervention, represented by an increase of 0.19 points in the client satisfaction scores in the intervention group, 6 to 8 months after the intervention ( p= 0.014). Additional regression analyses showed significant score increases of 0.44 ( p= 0.002), 0.14 ( p= 0.002), 0.06 ( p= 0.019), and 0.17 ( p= 0.044) points on four items, which, respectively were healthcare staff members' communication, explanations about illnesses or cases, and consultation duration, and clients' overall satisfaction. The 5S has the potential to improve client satisfaction at resource-poor health facilities and could therefore be recommended as a strategic option for improving the quality of healthcare service in low- and middle-income countries. To explore more effective intervention modalities, further studies need to address the mechanisms by which 5S leads to attitude changes in healthcare staff.
Dubois, Jean-Daniel; Cantin, Vincent; Piché, Mathieu; Descarreaux, Martin
2016-01-01
Despite an elusive pathophysiology, common characteristics are often observed in individuals with chronic low back pain (LBP). These include psychological symptoms, altered pain perception, altered pain modulation and altered muscle activation. These factors have been explored as possible determinants of disability, either separately or in cross-sectional studies, but were never assessed in a single longitudinal study. Therefore, the objective was to determine the relative contribution of psychological and neurophysiological factors to future disability in individuals with past LBP. The study included two experimental sessions (baseline and six months later) to assess cutaneous heat pain and pain tolerance thresholds, pain inhibition, as well as trunk muscle activation. Both sessions included the completion of validated questionnaires to determine clinical pain, disability, pain catastrophizing, fear-avoidance beliefs and pain vigilance. One hundred workers with a history of LBP and 19 healthy individuals took part in the first experimental session. The second experimental session was exclusively conducted on workers with a history of LBP (77/100). Correlation analyses between initial measures and disability at six months were conducted, and measures significantly associated with disability were used in multiple regression analyses. A first regression analysis showed that psychological symptoms contributed unique variance to future disability (R2 = 0.093, p = .009). To control for the fluctuating nature of LBP, a hierarchical regression was conducted while controlling for clinical pain at six months (R2 = 0.213, p < .001) where pain inhibition contributed unique variance in the second step of the regression (R2 change = 0.094, p = .005). These results indicate that pain inhibition processes may constitute potential targets for treatment to alleviate future disability in individuals with past or present LBP. Then again, the link between psychological symptoms and pain inhibition needs to be clarified as both of these factors are linked together and influence disability in their own way. PMID:27783666
Wang, Ningjian; Han, Bing; Li, Qin; Chen, Yi; Chen, Yingchao; Xia, Fangzhen; Lin, Dongping; Jensen, Michael D; Lu, Yingli
2015-07-16
To date, no study has explored the association between androgen levels and 25-hydroxyvitamin D (25(OH)D) levels in Chinese men. We aimed to investigate the relationship between 25(OH)D levels and total and free testosterone (T), sex hormone binding globulin (SHBG), estradiol, and hypogonadism in Chinese men. Our data, which were based on the population, were collected from 16 sites in East China. There were 2,854 men enrolled in the study, with a mean (SD) age of 53.0 (13.5) years. Hypogonadism was defined as total T <11.3 nmol/L or free T <22.56 pmol/L. The 25(OH)D, follicle-stimulating hormone, luteinizing hormone, total T, estradiol and SHBG were measured using chemiluminescence and free T by enzyme-linked immune-sorbent assay. The associations between 25(OH)D and reproductive hormones and hypogonadism were analyzed using linear regression and binary logistic regression analyses, respectively. A total of 713 (25.0 %) men had hypogonadism with significantly lower 25(OH)D levels but greater BMI and HOMA-IR. Using linear regression, after fully adjusting for age, residence area, economic status, smoking, BMI, HOMA-IR, diabetes and systolic pressure, 25(OH)D was associated with total T and estradiol (P < 0.05). In the logistic regression analyses, increased quartiles of 25(OH)D were associated with significantly decreased odds ratios of hypogonadism (P for trend <0.01). This association, which was considerably attenuated by BMI and HOMA-IR, persisted in the fully adjusted model (P for trend <0.01) in which for the lowest compared with the highest quartile of 25(OH)D, the odds ratio of hypogonadism was 1.50 (95 % CI, 1.14, 1.97). A lower vitamin D level was associated with a higher prevalence of hypogonadism in Chinese men. This association might, in part, be explained by adiposity and insulin resistance and warrants additional investigation.
Bartoli, Francesco; Crocamo, Cristina; Dakanalis, Antonios; Riboldi, Ilaria; Miotto, Alessio; Brosio, Enrico; Clerici, Massimo; Carrà, Giuseppe
2017-04-01
We tested whether serum total cholesterol levels might be associated with recent suicide attempts in subjects with major depressive disorder, after controlling for relevant individual characteristics. We conducted a comparative cross-sectional study including consecutive inpatients with major depressive disorder. We differentiated subjects admitted for a recent serious (violent or non-violent) suicide attempt and those without such recent history. Total cholesterol was measured from fasting blood tests. At univariate analyses, suicide attempters had levels of total cholesterol (174.0±45.7mg/dL) lower than non-attempters (193.9±42.6mg/dL) (p=0.004). This was confirmed among both violent (174.1±46.2mg/dL) and non-violent (173.8±46.1mg/dL) suicide attempters (p=0.035 and 0.016, respectively). However, logistic regression analyses, sequentially including demographic, clinical (comorbid alcohol and personality disorders), and biochemical factors, did not show any association between serum cholesterol and recent suicide attempts (p=0.172). Similar findings were observed in multinomial logistic regression analyses, for both violent (p=0.512) and non-violent (p=0.157) suicide attempts. Our findings do not support the hypothesis that serum cholesterol and suicide attempts are associated among subjects with major depressive disorder. The identification of valid and accessible biological markers of suicidal behaviors still represents a challenge for future research. Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Understanding catastrophizing from a misdirected problem-solving perspective.
Flink, Ida K; Boersma, Katja; MacDonald, Shane; Linton, Steven J
2012-05-01
The aim is to explore pain catastrophizing from a problem-solving perspective. The links between catastrophizing, problem framing, and problem-solving behaviour are examined through two possible models of mediation as inferred by two contemporary and complementary theoretical models, the misdirected problem solving model (Eccleston & Crombez, 2007) and the fear-anxiety-avoidance model (Asmundson, Norton, & Vlaeyen, 2004). In this prospective study, a general population sample (n= 173) with perceived problems with spinal pain filled out questionnaires twice; catastrophizing and problem framing were assessed on the first occasion and health care seeking (as a proxy for medically oriented problem solving) was assessed 7 months later. Two different approaches were used to explore whether the data supported any of the proposed models of mediation. First, multiple regressions were used according to traditional recommendations for mediation analyses. Second, a bootstrapping method (n= 1000 bootstrap resamples) was used to explore the significance of the indirect effects in both possible models of mediation. The results verified the concepts included in the misdirected problem solving model. However, the direction of the relations was more in line with the fear-anxiety-avoidance model. More specifically, the mediation analyses provided support for viewing catastrophizing as a mediator of the relation between biomedical problem framing and medically oriented problem-solving behaviour. These findings provide support for viewing catastrophizing from a problem-solving perspective and imply a need to examine and address problem framing and catastrophizing in back pain patients. ©2011 The British Psychological Society.
Impact of Contextual Factors on Prostate Cancer Risk and Outcomes
2013-07-01
framework with random effects (“frailty models”) while the case-control analyses (Aim 4) will use multilevel unconditional logistic regression models...contextual-level SES on prostate cancer risk within racial/ethnic groups. The survival analyses (Aims 1-3) will utilize a proportional hazards regression
Emotional support, education and self-rated health in 22 European countries.
von dem Knesebeck, Olaf; Geyer, Siegfried
2007-10-01
The analyses focus on three aims: (1) to explore the associations between education and emotional support in 22 European countries, (2) to explore the associations between emotional support and self-rated health in the European countries, and (3) to analyse whether the association between education and self-rated health can be partly explained by emotional support. The study uses data from the European Social Survey 2003. Probability sampling from all private residents aged 15 years and older was applied in all countries. The European Social Survey includes 42,359 cases. Persons under age 25 were excluded to minimise the number of respondents whose education was not complete. Education was coded according to the International Standard Classification of Education. Perceived emotional support was assessed by the availability of a confidant with whom one can discuss intimate and personal matters with. Self-rated health was used as health indicator. Results of multiple logistic regression analyses show that emotional support is positively associated with education among women and men in most European countries. However, the magnitude of the association varies according to country and gender. Emotional support is positively associated with self-rated health. Again, gender and country differences in the association were observed. Emotional support explains little of the educational differences in self-rated health among women and men in most European countries. Results indicate that it is important to consider socio-economic factors like education and country-specific contexts in studies on health effects of emotional support.
Values and love styles in Turkey and Great Britain: an intercultural and intracultural comparison.
Sanrı, Çağla; Goodwin, Robin
2013-01-01
Little previous research has examined the relationship between values and love styles, and none has done so across cultures or intracultural regions. This research was the first attempt to explore the correlation between individual-level values and love styles, and examined both within- and between-cultural variations in love styles. In this study 224 participants from Turkey and Britain, from urban or rural locations, completed the Portrait Values Questionnaire and the Love Attitudes Scale measure of love styles. Pancultural analyses demonstrated significant correlations between certain value dimensions and love styles. In particular, agape (selfless love) was positively correlated with self-transcendence, ludus (game-playing love) was positively correlated with self-enhancement, and pragma (realistic love) was positively correlated with conservation. The inclusion of location and nationality and their interactions with values in the multiple regression analyses significantly increased the variance explained by values for five of the six love styles. Multivariate analyses indicated that ludus, storge, mania, and pragma were all significantly higher among Turkish respondents; pragma, mania, and agape all higher amongst rural respondents. Eros was highest among rural British respondents; storge, pragma, and agape highest among rural Turks. When these culture effects were explored, conservation significantly mediated the relationship between the groups of more conservative rural Turks (versus other participants) and both pragmatic and storgic love styles. Findings are discussed in the light of disparities in values and relationship styles within cultures, and the need to include both intracultural and intercultural variations in cross cultural research.
Turkoz, Ibrahim; Fu, Dong-Jing; Bossie, Cynthia A; Sheehan, John J; Alphs, Larry
2013-08-15
This analysis explored the relationship between ratings on HAM-D-17 or YMRS and those on the depressive or manic subscale of CGI-S for schizoaffective disorder (CGI-S-SCA). This post hoc analysis used the database (N=614) from two 6-week, randomized, placebo-controlled studies of paliperidone ER versus placebo in symptomatic subjects with schizoaffective disorder assessed using HAM-D-17, YMRS, and CGI-S-SCA scales. Parametric and nonparametric regression models explored the relationships between ratings on YMRS and HAM-D-17 and on depressive and manic domains of the CGI-S-SCA from baseline to the 6-week end point. A clinically meaningful improvement was defined as a change of 1 point in the CGI-S-SCA score. No adjustment was made for multiplicity. Multiple linear regression models suggested that a 1-point change in the depressive domain of CGI-S-SCA corresponded to an average 3.6-point (SE=0.2) change in HAM-D-17 score. Similarly, a 1-point change in the manic domain of CGI-S-SCA corresponded to an average 5.8-point (SE=0.2) change in YMRS score. Results were confirmed using local and cumulative logistic regression models in addition to equipercentile linking. Lack of subjects scoring over the complete range of possible scores may limit broad application of the analyses. Clinically meaningful score changes in depressive and manic domains of CGI-S-SCA corresponded to approximately 4- and 6-point score changes on HAM-D-17 and YMRS, respectively, in symptomatic subjects with schizoaffective disorder. Copyright © 2013 Elsevier B.V. All rights reserved.
Røislien, Jo; Lossius, Hans Morten; Kristiansen, Thomas
2015-01-01
Background Trauma is a leading global cause of death. Trauma mortality rates are higher in rural areas, constituting a challenge for quality and equality in trauma care. The aim of the study was to explore population density and transport time to hospital care as possible predictors of geographical differences in mortality rates, and to what extent choice of statistical method might affect the analytical results and accompanying clinical conclusions. Methods Using data from the Norwegian Cause of Death registry, deaths from external causes 1998–2007 were analysed. Norway consists of 434 municipalities, and municipality population density and travel time to hospital care were entered as predictors of municipality mortality rates in univariate and multiple regression models of increasing model complexity. We fitted linear regression models with continuous and categorised predictors, as well as piecewise linear and generalised additive models (GAMs). Models were compared using Akaike's information criterion (AIC). Results Population density was an independent predictor of trauma mortality rates, while the contribution of transport time to hospital care was highly dependent on choice of statistical model. A multiple GAM or piecewise linear model was superior, and similar, in terms of AIC. However, while transport time was statistically significant in multiple models with piecewise linear or categorised predictors, it was not in GAM or standard linear regression. Conclusions Population density is an independent predictor of trauma mortality rates. The added explanatory value of transport time to hospital care is marginal and model-dependent, highlighting the importance of exploring several statistical models when studying complex associations in observational data. PMID:25972600
America's Democracy Colleges: The Civic Engagement of Community College Students
ERIC Educational Resources Information Center
Angeli Newell, Mallory
2014-01-01
This study explored the civic engagement of current two- and four-year students to explore whether differences exist between the groups and what may explain the differences. Using binary logistic regression and Ordinary Least Squares regression it was found that community-based engagement was lower for two- than four-year students, though…
Toward a Periodic Table of Niches, or Exploring the Lizard Niche Hypervolume.
Pianka, Eric R; Vitt, Laurie J; Pelegrin, Nicolás; Fitzgerald, Daniel B; Winemiller, Kirk O
2017-11-01
Widespread niche convergence suggests that species can be organized according to functional trait combinations to create a framework analogous to a periodic table. We compiled ecological data for lizards to examine patterns of global and regional niche diversification, and we used multivariate statistical approaches to develop the beginnings for a periodic table of niches. Data (50+ variables) for five major niche dimensions (habitat, diet, life history, metabolism, defense) were compiled for 134 species of lizards representing 24 of the 38 extant families. Principal coordinates analyses were performed on niche dimensional data sets, and species scores for the first three axes were used as input for a principal components analysis to ordinate species in continuous niche space and for a regression tree analysis to separate species into discrete niche categories. Three-dimensional models facilitate exploration of species positions in relation to major gradients within the niche hypervolume. The first gradient loads on body size, foraging mode, and clutch size. The second was influenced by metabolism and terrestrial versus arboreal microhabitat. The third was influenced by activity time, life history, and diet. Natural dichotomies are activity time, foraging mode, parity mode, and habitat. Regression tree analysis identified 103 cases of extreme niche conservatism within clades and 100 convergences between clades. Extending this approach to other taxa should lead to a wider understanding of niche evolution.
The mediating effect of psychological distress on functional dependence in stroke patients.
Huang, Hui-Chuan; Huang, Li-Kai; Hu, Chaur-Jong; Chang, Chien-Hung; Lee, Hsin-Chien; Chi, Nai-Fang; Shyu, Meei-Ling; Chang, Hsiu-Ju
2014-12-01
To explore varied forms of psychological distress and to determine the mediating influence of psychological distress on functional outcomes in stroke patients. Previous studies attest to the influence of depression on poststroke functional recovery. While there is evidence for neuropathological deficits that occur after stroke to be associated with psychological distress, few studies have explored the effect of various types of psychological distress on functional recovery. A cross-sectional study was used. Data were collected from 178 first-time stroke patients. Study variables included demographic and disease characteristics (stroke location and stroke syndrome classification), psychological distress (the Chinese language version of the Emotional and Social Dysfunction Questionnaire) and functional outcome (Barthel index). Regression and mediation models were used to evaluate the effect of psychological distress on functional outcome. Results revealed that stroke patients experience various forms of mild psychological distress, including anger, helplessness, emotional dyscontrol, indifference, inertia and euphoria, after stroke. Regression and mediation analyses further confirmed that various forms of psychological distress significantly mediated the effect of severe stroke syndromes on functional dependence. The various forms of psychological distress after stroke might play a mediating role in functional recovery and explain how stroke severity affects functional dependence. By understanding the nature of various forms of psychological distress, healthcare professionals should adopt appropriate assessment instruments and design effective interventions to help improve mental and physical function of stroke patients. © 2014 John Wiley & Sons Ltd.
Libiger, Ondrej; Schork, Nicholas J.
2015-01-01
It is now feasible to examine the composition and diversity of microbial communities (i.e., “microbiomes”) that populate different human organs and orifices using DNA sequencing and related technologies. To explore the potential links between changes in microbial communities and various diseases in the human body, it is essential to test associations involving different species within and across microbiomes, environmental settings and disease states. Although a number of statistical techniques exist for carrying out relevant analyses, it is unclear which of these techniques exhibit the greatest statistical power to detect associations given the complexity of most microbiome datasets. We compared the statistical power of principal component regression, partial least squares regression, regularized regression, distance-based regression, Hill's diversity measures, and a modified test implemented in the popular and widely used microbiome analysis methodology “Metastats” across a wide range of simulated scenarios involving changes in feature abundance between two sets of metagenomic samples. For this purpose, simulation studies were used to change the abundance of microbial species in a real dataset from a published study examining human hands. Each technique was applied to the same data, and its ability to detect the simulated change in abundance was assessed. We hypothesized that a small subset of methods would outperform the rest in terms of the statistical power. Indeed, we found that the Metastats technique modified to accommodate multivariate analysis and partial least squares regression yielded high power under the models and data sets we studied. The statistical power of diversity measure-based tests, distance-based regression and regularized regression was significantly lower. Our results provide insight into powerful analysis strategies that utilize information on species counts from large microbiome data sets exhibiting skewed frequency distributions obtained on a small to moderate number of samples. PMID:26734061
Rees, Charlotte E; Bradley, Paul; Collett, Tracey; McLachlan, John C
2005-11-01
This study aims to explore quantitatively and qualitatively students' attitudes towards peer physical examination (PPE) and the influence of demographics on students' willingness to participate in PPE. A total of 296 first-year medical students from two consecutive cohorts at the Peninsula Medical School, UK completed the EFS questionnaire. Quantitative data from the questionnaire were analysed using univariate (i.e. Mann-Whitney and chi-squared tests) and multivariate statistics (i.e. stepwise multiple regression) and qualitative data were analysed using theme analysis. At least 92% of Peninsula Medical School students were willing to examine all 11 body parts (except breast and inguinal regions) of peers of same and opposite gender. Qualitative data support this by highlighting students' positive attitudes towards PPE. PPE was more acceptable within rather than across gender and students generally felt more comfortable examining their peers than being examined by peers. Qualitative data outline the range of student concerns with PPE. Significant relationships existed between students' attitudes towards PPE and various variables: gender, age and religious faith. The findings demonstrate that students may show a greater willingness to participate in PPE than previously thought. Further research is required to explore more fully the barriers to PPE.
Scherer, Michael; Harrell, Paul T; Trenz, Rebecca C; Canham, Sarah; Latimer, William W
2016-01-01
Alcohol use is prevalent among populations of persons that use illicit drugs. Problematic alcohol use among persons that use heroin and cocaine has been associated with poor treatment adherence, abstinence maintenance, and mental health concerns. Fully exploring how alcohol use severity interacts with route of administration (ROA) may be of notable importance in development of treatment protocols for persons that use heroin and cocaine. Data from a neurological and sociobehavioral assessment of risk factors among injection and noninjection drug users known as the NEURO-HIV Epidemiologic Study was used in the analyses. Participants (N = 551) included those who reported their level of past-30-day alcohol use and past-6-month heroin and cocaine use. Multiple logistic regression analyses found that both problematic and moderate alcohol users were significantly less likely than abstainers to report injecting heroin and cocaine. Both problematic and moderate alcohol users were significantly more likely than abstainers to snort substances. Alcohol use may play a role in promoting or impeding the use of substances through certain ROAs. Treatment protocols that transition persons that use injection heroin and cocaine to noninjection use of these substances may be used in conjunction with treatments that reduce alcohol consumption as a means to reduce noninjection drug use.
Nurses' Internet self-efficacy and attitudes toward web-based continuing learning.
Liang, Jyh-Chong; Wu, Szu-Hsien; Tsai, Chin-Chung
2011-11-01
There are increasing opportunities for nurses to engage in continuing learning via the Internet; hence, it is important to explore nurses' attitudes toward web-based continuing learning. This paper explores 267 Taiwanese clinical nurses' attitudes toward web-based continuing learning. In addition, the role of the nurses' Internet self-efficacy in their attitudes is investigated. This study utilizes two questionnaires to respectively survey the nurses' Internet self-efficacy and their attitudes toward web-based continuing learning. In particular, the Internet Self-efficacy Survey includes two scales: 'Basic self-efficacy' (the perceived confidence of using basic Internet functions, such as the confidence in using a web browser or searching for online information) and 'Advanced self-efficacy' (the perceived confidence of using advanced Internet functions, such as the confidence in online discussion or making online payments). Exploratory factor analyses indicated adequate reliability and validity of the two questionnaires. The regression analyses revealed that both nurses' basic and advanced Internet self-efficacy can positively explain the perceived usefulness, ease of use and friendly feeling when using web-based continuing learning environments, whereas nurses' advanced Internet self-efficacy was the only predictor to explain how they intend to use web-based continuing learning environments more. Copyright © 2010 Elsevier Ltd. All rights reserved.
Ciardulli, Andrea; D'Antonio, Francesco; Magro-Malosso, Elena R; Manzoli, Lamberto; Anisman, Paul; Saccone, Gabriele; Berghella, Vincenzo
2018-03-07
To explore the effect of maternal fluorinated steroid therapy on fetuses affected by second-degree immune-mediated congenital atrioventricular block. Studies reporting the outcome of fetuses with second-degree immune-mediated congenital atrioventricular block diagnosed on prenatal ultrasound and treated with fluorinated steroids compared with those not treated were included. The primary outcome was the overall progression of congenital atrioventricular block to either continuous or intermittent third-degree congenital atrioventricular block at birth. Meta-analyses of proportions using random effect model and meta-analyses using individual data random-effect logistic regression were used. Five studies (71 fetuses) were included. The progression rate to congenital atrioventricular block at birth in fetuses treated with steroids was 52% (95% confidence interval 23-79) and in fetuses not receiving steroid therapy 73% (95% confidence interval 39-94). The overall rate of regression to either first-degree, intermittent first-/second-degree or sinus rhythm in fetuses treated with steroids was 25% (95% confidence interval 12-41) compared with 23% (95% confidence interval 8-44) in those not treated. Stable (constant) second-degree congenital atrioventricular block at birth was present in 11% (95% confidence interval 2-27) of cases in the treated group and in none of the newborns in the untreated group, whereas complete regression to sinus rhythm occurred in 21% (95% confidence interval 6-42) of fetuses receiving steroids vs. 9% (95% confidence interval 0-41) of those untreated. There is still limited evidence as to the benefit of administered fluorinated steroids in terms of affecting outcome of fetuses with second-degree immune-mediated congenital atrioventricular block. © 2018 Nordic Federation of Societies of Obstetrics and Gynecology.
Occupational injuries in Italy: risk factors and long term trend (1951-98)
Fabiano, B; Curro, F; Pastorino, R
2001-01-01
OBJECTIVES—Trends in the rates of total injuries and fatal accidents in the different sectors of Italian industries were explored during the period 1951-98. Causes and dynamics of injury were also studied for setting priorities for improving safety standards. METHODS—Data on occupational injuries from the National Organisation for Labour Injury Insurance were combined with data from the State Statistics Institute to highlight the interaction between the injury frequency index trend and the production cycle—that is, the evolution of industrial production throughout the years. Multiple regression with log transformed rates was adopted to model the trends of occupational fatalities for each industrial group. RESULTS—The ratios between the linked indices of injury frequency and industrial production showed a good correlation over the whole period. A general decline in injuries was found across all sectors, with values ranging from 79.86% in the energy group to 23.32% in the textile group. In analysing fatalities, the trend seemed to be more clearly decreasing than the trend of total injuries, including temporary and permanent disabilities; the fatalities showed an exponential decrease according to multiple regression, with an annual decline equal to 4.42%. CONCLUSIONS—The overall probability of industrial fatal accidents in Italy tended to decrease exponentially by year. The most effective actions in preventing injuries were directed towards fatal accidents. By analysing the rates of fatal accident in the different sectors, appropriate targets and priorities for increased strategies to prevent injuries can be suggested. The analysis of the dynamics and the material causes of injuries showed that still more consideration should be given to human and organisational factors. Keywords: labour injuries; severity; regression model PMID:11303083
Shtasel-Gottlieb, Zoë; Palakshappa, Deepak; Yang, Fanyu; Goodman, Elizabeth
2014-01-01
Purpose To explore the association between developmental assets (characteristics, experiences, and relationships that shape healthy development) and food insecurity among adolescents from a low-income, urban community. Methods This mixed methods study occurred in two phases. In Phase 1, using a census approach, 2350 6-12th graders from the public school district completed an anonymous survey that included the Development Assets Profile (DAP), youth self-report form of the Core Food Security Module, and demographic questions. Logistic and multinomial regression analyses determined independent associations between developmental assets and food security adjusting for demographics. In Phase 2, 20 adult key informant interviews and four semi-structured student focus groups were performed to explain findings from Phase 1. Results On average, DAP scores were consistent with national norms. Food insecurity was prevalent; 14.9% reported low food security and 8.6% very low food security (VLFS). Logistic regression revealed that higher DAP was associated with lower odds of food insecurity (OR=.96, 95% CI=.95-.97); family assets drove this association(OR=.93, 95% CI=.91-.95). In multinomial regression modeling, these associations persisted and, paradoxically, higher community assets were also associated with VLFS (ORVLFS=1.08, 95% CI=1.04-1.13). Qualitative analyses suggested that greater need among VLFS youth led to increased connections to community resources despite barriers to access such as stigma, home instability, and cultural differences. Conclusion Food insecurity is a pervasive problem among adolescents from low-income communities and is associated with lower developmental assets, particularly family assets. That community assets were higher among VLFS youth underscores the importance of community-level resources in struggling areas. PMID:25620305
Shtasel-Gottlieb, Zoë; Palakshappa, Deepak; Yang, Fanyu; Goodman, Elizabeth
2015-02-01
To explore the association between developmental assets (characteristics, experiences, and relationships that shape healthy development) and food insecurity among adolescents from a low-income urban community. This mixed-methods study occurred in two phases. In phase 1, using a census approach, 2,350 6th to 12th graders from the public school district completed an anonymous survey that included the developmental assets profile (DAP), the youth self-report form of the Core Food Security Module, and demographic questions. Logistic and multinomial regression analyses determined independent associations between developmental assets and food security adjusting for demographics. In phase 2, 20 adult key informant interviews and four semistructured student focus groups were performed to explain findings from phase 1. On average, DAP scores were consistent with national norms. Food insecurity was prevalent; 14.9% reported low food security and 8.6% very low food security (VLFS). Logistic regression revealed that higher DAP was associated with lower odds of food insecurity (odds ratio [OR], .96; 95% confidence interval [CI], .95-.97); family assets drove this association (OR, .93; 95% CI, .91-.95). In multinomial regression modeling, these associations persisted, and paradoxically, higher community assets were also associated with VLFS (ORVLFS, 1.08; 95% CI, 1.04-1.13). Qualitative analyses suggested that greater need among VLFS youth led to increased connections to community resources despite barriers to access such as stigma, home instability, and cultural differences. Food insecurity is a pervasive problem among adolescents from low-income communities and is associated with lower developmental assets, particularly family assets. The fact that community assets were higher among VLFS youth underscores the importance of community-level resources in struggling areas. Copyright © 2015 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
Schoeler, Tabea; Theobald, Delphine; Pingault, Jean-Baptiste; Farrington, David P; Coid, Jeremy W; Bhattacharyya, Sagnik
2018-04-02
Evidence regarding the association between cannabis use and depression remain conflicting, especially as studies have not typically adopted a longitudinal design with a follow-up period that was long enough to adequately cover the risk period for onset of depression. Males from the Cambridge Study in Delinquent Development (CSDD) (N = 285) were assessed seven times from age 8 to 48 years to prospectively investigate the association between cannabis use and risk of major depressive disorder (MDD). A combination of multiple analyses (logistic regression, Cox regression, fixed-effects analysis) was employed to explore the strength and direction of effect within different developmental stages. Multiple regression analyses revealed that early-onset cannabis use (before age 18) but not late-onset cannabis use (after age 27) was associated with a higher risk and shorter time until a subsequent MDD diagnosis. This effect was present in high-frequency [(odds ratio (OR) 8.83, 95% confidence interval (CI) 1.29-70.79]; [hazard ratio (HR) 8.69, 95% CI 2.07-36.52)] and low-frequency early-onset users (OR 2.41, 95% CI 1.22-4.76; HR 2.09, 95% CI 1.16-3.74). Effect of increased frequency of cannabis use on increased risk of subsequent MDD was observed only for use during adolescence (age 14-18) but not at later life stages, while controlling for observed and non-unobserved time-invariant factors. Conversely, MDD in adulthood (age 18-32) was linked to a reduction in subsequent cannabis use (age 32-48). The present findings provide evidence implicating frequent cannabis use during adolescence as a risk factor for later life depression. Future studies should further examine causality of effects in larger samples.
Quantification of trace metals in infant formula premixes using laser-induced breakdown spectroscopy
NASA Astrophysics Data System (ADS)
Cama-Moncunill, Raquel; Casado-Gavalda, Maria P.; Cama-Moncunill, Xavier; Markiewicz-Keszycka, Maria; Dixit, Yash; Cullen, Patrick J.; Sullivan, Carl
2017-09-01
Infant formula is a human milk substitute generally based upon fortified cow milk components. In order to mimic the composition of breast milk, trace elements such as copper, iron and zinc are usually added in a single operation using a premix. The correct addition of premixes must be verified to ensure that the target levels in infant formulae are achieved. In this study, a laser-induced breakdown spectroscopy (LIBS) system was assessed as a fast validation tool for trace element premixes. LIBS is a promising emission spectroscopic technique for elemental analysis, which offers real-time analyses, little to no sample preparation and ease of use. LIBS was employed for copper and iron determinations of premix samples ranging approximately from 0 to 120 mg/kg Cu/1640 mg/kg Fe. LIBS spectra are affected by several parameters, hindering subsequent quantitative analyses. This work aimed at testing three matrix-matched calibration approaches (simple-linear regression, multi-linear regression and partial least squares regression (PLS)) as means for precision and accuracy enhancement of LIBS quantitative analysis. All calibration models were first developed using a training set and then validated with an independent test set. PLS yielded the best results. For instance, the PLS model for copper provided a coefficient of determination (R2) of 0.995 and a root mean square error of prediction (RMSEP) of 14 mg/kg. Furthermore, LIBS was employed to penetrate through the samples by repetitively measuring the same spot. Consequently, LIBS spectra can be obtained as a function of sample layers. This information was used to explore whether measuring deeper into the sample could reduce possible surface-contaminant effects and provide better quantifications.
Magaard, Julia Luise; Schulz, Holger; Brütt, Anna Levke
2017-01-01
Patients' causal beliefs about their mental disorders are important for treatment because they affect illness-related behaviours. However, there are few studies exploring patients' causal beliefs about their mental disorder. (a) To qualitatively explore patients' causal beliefs of their mental disorder, (b) to explore frequencies of patients stating causal beliefs, and (c) to investigate differences of causal beliefs according to patients' primary diagnoses. Inpatients in psychosomatic rehabilitation were asked an open-ended question about their three most important causal beliefs about their mental illness. Answers were obtained from 678 patients, with primary diagnoses of depression (N = 341), adjustment disorder (N = 75), reaction to severe stress (N = 57) and anxiety disorders (N = 40). Two researchers developed a category system inductively and categorised the reported causal beliefs. Qualitative analysis has been supplemented by logistic regression analyses. The causal beliefs were organized into twelve content-related categories. Causal beliefs referring to "problems at work" (47%) and "problems in social environment" (46%) were most frequently mentioned by patients with mental disorders. 35% of patients indicate causal beliefs related to "self/internal states". Patients with depression and patients with anxiety disorders stated similar causal beliefs, whereas patients with reactions to severe stress and adjustment disorders stated different causal beliefs in comparison to patients with depression. There was no opportunity for further exploration, because we analysed written documents. These results add a detailed insight to mentally ill patients' causal beliefs to illness perception literature. Additionally, evidence about differences in frequencies of causal beliefs between different illness groups complement previous findings. For future research it is important to clarify the relation between patients' causal beliefs and the chosen treatment.
Magaard, Julia Luise; Schulz, Holger; Brütt, Anna Levke
2017-01-01
Background Patients’ causal beliefs about their mental disorders are important for treatment because they affect illness-related behaviours. However, there are few studies exploring patients’ causal beliefs about their mental disorder. Objectives (a) To qualitatively explore patients’ causal beliefs of their mental disorder, (b) to explore frequencies of patients stating causal beliefs, and (c) to investigate differences of causal beliefs according to patients’ primary diagnoses. Method Inpatients in psychosomatic rehabilitation were asked an open-ended question about their three most important causal beliefs about their mental illness. Answers were obtained from 678 patients, with primary diagnoses of depression (N = 341), adjustment disorder (N = 75), reaction to severe stress (N = 57) and anxiety disorders (N = 40). Two researchers developed a category system inductively and categorised the reported causal beliefs. Qualitative analysis has been supplemented by logistic regression analyses. Results The causal beliefs were organized into twelve content-related categories. Causal beliefs referring to “problems at work” (47%) and “problems in social environment” (46%) were most frequently mentioned by patients with mental disorders. 35% of patients indicate causal beliefs related to “self/internal states”. Patients with depression and patients with anxiety disorders stated similar causal beliefs, whereas patients with reactions to severe stress and adjustment disorders stated different causal beliefs in comparison to patients with depression. Limitations There was no opportunity for further exploration, because we analysed written documents. Conclusions These results add a detailed insight to mentally ill patients’ causal beliefs to illness perception literature. Additionally, evidence about differences in frequencies of causal beliefs between different illness groups complement previous findings. For future research it is important to clarify the relation between patients’ causal beliefs and the chosen treatment. PMID:28056066
Schmidt, Börge; Dragano, Nico; Scherag, André; Pechlivanis, Sonali; Hoffmann, Per; Nöthen, Markus M; Erbel, Raimund; Jöckel, Karl-Heinz; Moebus, Susanne
2014-06-16
The relevance of disease-related genetic variants for the explanation of social inequalities in complex diseases is unclear and empirical analyses are largely missing. The aim of our study was to examine whether genetic variants predisposing to diabetes mellitus are associated with socioeconomic status in a population-based cohort. We genotyped 11 selected diabetes-related single nucleotide polymorphisms in 4655 participants (age 45-75 years) of the Heinz Nixdorf Recall study. Diabetes status was self-reported or defined by blood glucose levels. Education, income and paternal occupation were assessed as indicators of socioeconomic status. Multiple regression analyses were used to examine the association of socioeconomic status and diabetes by estimating sex-specific and age-adjusted prevalence ratios and their corresponding 95%-confidence intervals. To explore the relationship between individual single nucleotide polymorphisms and socioeconomic status sex- and age-adjusted odds ratios were computed. We adjusted the alpha-level for multiple testing of 11 single nucleotide polymorphisms using Bonferroni's method (α(BF) ~ 0.005). In addition, we explored the association of a genetic risk score with socioeconomic status. Social inequalities in diabetes were observed for all indicators of socioeconomic status. However, there were no significant associations between individual diabetes-related risk alleles and socioeconomic status with odds ratios ranging from 0.87 to 1.23. Similarly, the genetic risk score analysis revealed no evidence for an association. Our data provide no evidence for an association between 11 diabetes-related risk alleles and different indicators of socioeconomic status in a population-based cohort, suggesting that the explored genetic variants do not contribute to health inequalities in diabetes.
Patient Involvement: A New Source of Stress in Health Care Work?
Arnetz, Judith E; Zhdanova, Ludmila; Arnetz, Bengt B
2016-12-01
Patients have become increasingly well informed with higher expectations to be involved in decision-making processes regarding their care and treatment. However, few studies have examined the impact of patient involvement on health care providers' partnership-building communication. The aim of this study was to measure and explore the self-reported effects of patient involvement on the work of physicians and nurses. A questionnaire survey was distributed among cardiology staff in 12 Swedish hospitals (N = 488, response rate 67%). The sample was comprised of registered nurses (RNs, n = 303), licensed practical nurses (LPNs, n = 132), and physicians (MDs, n = 53). Confirmatory factor analysis was used to examine seven questionnaire statements concerning implications of patient involvement for one's clinical work. Regression analyses were used to examine factors associated with staff's partnership-building communication. Analysis confirmed two distinct factors accounting for 57% of the total variance, representing both negative-"Hassles"-and positive-"Uplifts"-aspects of patient involvement. Regression analyses revealed that only positive aspects (i.e., uplifts) of patient involvement predicted staff behavior aimed at involving patients. Working with actively involved patients may be a source of stress, both negative and positive, for health care professionals. By developing work routines for involving patients in their care, health care workplaces may help health care professionals to buffer the negative effects, and enhance the positive effects, of that stress.
Pasanen, Tytti P; Tyrväinen, Liisa; Korpela, Kalevi M
2014-11-01
A body of evidence shows that both physical activity and exposure to nature are connected to improved general and mental health. Experimental studies have consistently found short term positive effects of physical activity in nature compared with built environments. This study explores whether these benefits are also evident in everyday life, perceived over repeated contact with nature. The topic is important from the perspectives of city planning, individual well-being, and public health. National survey data (n = 2,070) from Finland was analysed using structural regression analyses. Perceived general health, emotional well-being, and sleep quality were regressed on the weekly frequency of physical activity indoors, outdoors in built environments, and in nature. Socioeconomic factors and other plausible confounders were controlled for. Emotional well-being showed the most consistent positive connection to physical activity in nature, whereas general health was positively associated with physical activity in both built and natural outdoor settings. Better sleep quality was weakly connected to frequent physical activity in nature, but the connection was outweighed by other factors. The results indicate that nature provides an added value to the known benefits of physical activity. Repeated exercise in nature is, in particular, connected to better emotional well-being. © 2014 The Authors. Applied Psychology: Health and Well-Being published by John Wiley & Sons Ltd on behalf of The International Association of Applied Psychology.
Threlkeld, Zachary D.; Jicha, Greg A.; Smith, Charles D.; Gold, Brian T.
2012-01-01
Reduced task deactivation within regions of the default mode network (DMN) has been frequently reported in Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI). As task deactivations reductions become increasingly used in the study of early AD states, it is important to understand their relationship to atrophy. To address this issue, the present study compared task deactivation reductions during a lexical decision task and atrophy in aMCI, using a series of parallel voxel-wise and region-wise analyses of fMRI and structural data. Our results identified multiple regions within parietal cortex as convergence areas of task deactivation and atrophy in aMCI. Relationships between parietal regions showing overlapping task deactivation reductions and atrophy in aMCI were then explored. Regression analyses demonstrated minimal correlation between task deactivation reductions and either local or global atrophy in aMCI. In addition, a logistic regression model which combined task deactivation reductions and atrophy in parietal DMN regions showed higher classificatory accuracy of aMCI than separate task deactivation or atrophy models. Results suggest that task deactivation reductions and atrophy in parietal regions provide complementary rather than redundant information in aMCI. Future longitudinal studies will be required to assess the utility of combining task deactivation reductions and atrophy in the detection of early AD. PMID:21860094
Dumalaon-Canaria, J A; Prichard, I; Hutchinson, A D; Wilson, C
2018-01-01
This study aims to examine the association between cancer causal attributions, fear of cancer recurrence (FCR) and psychological well-being and the possible moderating effect of optimism among women with a previous diagnosis of breast cancer. Participants (N = 314) completed an online self-report assessment of causal attributions for their own breast cancer, FCR, psychological well-being and optimism. Simultaneous multiple regression analyses were conducted to explore the overall contribution of causal attributions to FCR and psychological well-being separately. Hierarchical multiple regression analyses were also utilised to examine the potential moderating influence of dispositional optimism on the relationship between causal attributions and FCR and psychological well-being. Causal attributions of environmental exposures, family history and stress were significantly associated with higher FCR. The attribution of stress was also significantly associated with lower psychological well-being. Optimism did not moderate the relationship between causal attributions and FCR or well-being. The observed relationships between causal attributions for breast cancer and FCR and psychological well-being suggest that the inclusion of causal attributions in screening for FCR is potentially important. Health professionals may need to provide greater psychological support to women who attribute their cancer to non-modifiable causes and consequently continue to experience distress. © 2016 John Wiley & Sons Ltd.
A cybernetic approach to osteoporosis in anorexia nervosa.
Fricke, O; Tutlewski, B; Stabrey, A; Lehmkuhl, G; Schöenau, E
2005-06-01
A group of 25 female individuals, who had been admitted to the University Hospital with the diagnosis of anorexia nervosa (AN) 3 to 10 years before, was seen for a follow-up visit in the hospital. These women got a psychiatric exploration to detect a present eating disorder. Moreover, parameters of the muskuloskeletal interaction were determined on the non-dominant forearm. Bone mineral content (BMC) of the radius was measured by pQCT and maximal grip force was evaluated by the use of a dynamometer. Eating disorders were present in 12 females. The mean of BMC standard deviation (SD) score was significantly reduced in comparison with reference values. Furthermore, the mean of BMC SD score was also significantly lower than the mean of grip force in SD score. These results gave the suggestion that the adaptation of bone mass to biomechanical forces is disturbed in AN. The linear regression analyses between the parameters grip force and BMC were compared between the study and the reference group. The comparison delivered a significantly lower constant in the regression equation of the study group. This result can be interpreted on the background of the mechanostat theory. The affection with an eating disorder decreases the set point in the feedback loop of bone modeling. The results offer for the first time the possibility to analyse osteoporosis in anorexic females under the paradigm of muskuloskeletal interaction.
Patient involvement: A new source of stress in healthcare work?
Arnetz, Judith E.; Zhdanova, Ludmila; Arnetz, Bengt B.
2016-01-01
Patients have become increasingly well-informed with higher expectations to be involved in decision-making processes regarding their care and treatment. However, few studies have examined the impact of patient involvement on health care providers’ partnership-building communication. The aim of this study was to measure and explore the self-reported effects of patient involvement on the work of physicians and nurses. A questionnaire survey was distributed among cardiology staff in 12 Swedish hospitals (N=488, response rate 67%). The sample was comprised of registered nurses (RNs, n=303), licensed practical nurses (LPNs, n=132) and physicians (MDs, n=53). Confirmatory factor analysis was used to examine 7 questionnaire statements concerning implications of patient involvement for one’s clinical work. Regression analyses were used to examine factors associated with staff’s partnership-building communication. Analysis confirmed two distinct factors accounting for 57% of the total variance, representing both negative – “Hassles”– and positive –“Uplifts” – aspects of patient involvement. Regression analyses revealed that only positive aspects (i.e., uplifts) of patient involvement predicted staff behavior aimed at involving patients. Working with actively involved patients may be a source of stress, both negative and positive, for health care professionals. By developing work routines for involving patients in their care, health care workplaces may help health care professionals to buffer the negative effects, and enhance the positive effects, of that stress. PMID:27054396
Harrahy, L.N.M.; Schreck, C.B.; Maule, A.G.
2001-01-01
The immune response of juvenile chinook salmon (Oncorhynchus tshawytscha) ranging in weight from approximately 10 to 55 g was compared when the fish were acclimated to either 13 or 21?? C. A haemolytic plaque assay was conducted to determine differences in the number of antibody-producing cells (APC) among fish of a similar age but different body weights. Regression analyses revealed significant increases in the number of APC with increasing body weight when fish were acclimated to either water temperature. These results emphasise the importance of standardising fish weight in immunological studies of salmonids before exploring the possible effects of acclimation temperatures. ?? 2001 Academic Press.
Harrahy, L.N.M.; Schreck, Carl B.; Maule, Alec G.
2001-01-01
The immune response of juvenile chinook salmon (Oncorhynchus tshawytscha) ranging in weight from approximately 10 to 55 g was compared when the fish were acclimated to either 13 or 21° C. A haemolytic plaque assay was conducted to determine differences in the number of antibody-producing cells (APC) among fish of a similar age but different body weights. Regression analyses revealed significant increases in the number of APC with increasing body weight when fish were acclimated to either water temperature. These results emphasise the importance of standardising fish weight in immunological studies of salmonids before exploring the possible effects of acclimation temperatures.
Learning to be cruel?: exploring the onset and frequency of animal cruelty.
Hensley, Christopher; Tallichet, Suzanne E
2005-02-01
Few studies have examined how animal cruelty is learned within a specific social context among incarcerated individuals. Using data from 261 inmates, this study specifically addressed how demographic characteristics and childhood experiences with animal abuse may have affected the recurrence and onset of childhood and adolescent cruelty as a learned behavior. Multiple regression analyses revealed that inmates who experienced animal cruelty at a younger age were more likely to demonstrate recurrent animal cruelty themselves. In addition, respondents who observed a friend abuse animals were more likely to hurt or kill animals more frequently. Finally, inmates who were younger when they first witnessed animal cruelty also hurt or killed animals at a younger age.
Zhang, Yin; Tang, Leo Shing-Tung; Leung, Louis
2011-12-01
This study explores whether and how gratifications and psychological traits impact people's Facebook use. First, a factor analysis of an online survey (N= 437) outlined a unique set of gratifications obtained from the use of Facebook. Six aspects of gratifications (i.e., social surveillance, entertainment, recognition, emotional support, network extension, and maintenance) were identified. Results from regression analyses showed that psychological traits (i.e., collective self-esteem, online emotional openness, and traitlike communication apprehension) were strong predictors of most Facebook gratifications. Additionally, gratifications and, to a lesser extent, psychological traits significantly predicted Facebook usage, both in perceived importance and different indicators in the level of Facebook use.
Security in Father-child Relationship and Behavior Problems in Sexually Abused Children.
Parent-Boursier, Claudel; Hébert, Martine
2015-01-01
While the influence of mother-child relationships on children's recovery following sexual abuse has been documented, less is known about the possible contribution of father-child relationships on outcomes. The present study explored the contribution of children's perception of security in their relationship to the father on internalizing and externalizing behavior problems, while controlling for sociodemographic variables and variables associated with the mother-child relationship. Participants were 142 children who disclosed sexual abuse involving a perpetrator other than the biological father. Regression analyses indicated that children's perception of security to fathers contributed to the prediction of parental reports of children's behavior problems, even after controlling for maternal psychological distress and perception of security to mothers.
Use of mental health services by Asian Americans.
Barreto, Rose M; Segal, Steven P
2005-06-01
This study explored the use of mental health services by Asian Americans and other ethnic populations (N=104,773) in California. The authors used linear regression analyses to assess the role of ethnicity and diagnosis in predicting six-month use of services. East Asians used more services than Southeast Asians, Filipinos, other Asians, Caucasians, African Americans, Latinos, and Native Americans, even when severity of illness was taken into account. The findings suggest that aggregating Asian subpopulations into a single group in services research is no longer appropriate. Attention needs to be placed on the needs of Southeast Asians and other Asians, whose service use patterns approximate those of the traditionally most underserved groups, African Americans and Latinos.
Subjective social status and readiness to quit among homeless smokers.
Garey, Lorra; Reitzel, Lorraine R; Bakhshaie, Jafar; Kendzor, Darla E; Zvolensky, Michael J; Businelle, Michael S
2015-03-01
To explore the predictive value of subjective social status (SSS-US and SSS-Community) on readiness to quit among 245 homeless smokers. Hierarchical multiple regression analyses were conducted (stratified by sex). Higher SSS-US (p = .02) and SSS-Community (p < .001) predicted greater readiness to quit in the total sample. These relationships upheld for men (p's <. 01), but only SSS-Community predicted readiness to quit for women (p = .02). Higher SSS is associated with greater readiness to quit among homeless smokers. SSS-Community may be a more relevant index of SSS for women relative to SSS-US. Results suggest SSS may be a factor that contributes to smoking, disease, and health disparities.
Na, Hyunjoo; Dancy, Barbara L; Park, Chang
2015-06-01
The study's purpose was to explore whether frequency of cyberbullying victimization, cognitive appraisals, and coping strategies were associated with psychological adjustments among college student cyberbullying victims. A convenience sample of 121 students completed questionnaires. Linear regression analyses found frequency of cyberbullying victimization, cognitive appraisals, and coping strategies respectively explained 30%, 30%, and 27% of the variance in depression, anxiety, and self-esteem. Frequency of cyberbullying victimization and approach and avoidance coping strategies were associated with psychological adjustments, with avoidance coping strategies being associated with all three psychological adjustments. Interventions should focus on teaching cyberbullying victims to not use avoidance coping strategies. Copyright © 2015 Elsevier Inc. All rights reserved.
Auditory word identification in dyslexic and normally achieving readers.
Bruno, Jennifer L; Manis, Franklin R; Keating, Patricia; Sperling, Anne J; Nakamoto, Jonathan; Seidenberg, Mark S
2007-07-01
The integrity of phonological representation/processing in dyslexic children was explored with a gating task in which children listened to successively longer segments (gates) of a word. At each gate, the task was to decide what the entire word was. Responses were scored for overall accuracy as well as the children's sensitivity to coarticulation from the final consonant. As a group, dyslexic children were less able than normally achieving readers to detect coarticulation present in the vowel portion of the word, particularly on the most difficult items, namely those ending in a nasal sound. Hierarchical regression and path analyses indicated that phonological awareness mediated the relation of gating and general language ability to word and pseudoword reading ability.
The role of phonology, morphology, and orthography in English and Russian spelling.
Boulware-Gooden, Regina; Joshi, R Malatesha; Grigorenko, Elena
2015-05-01
The purpose of the present study was to explore the role of phonology, morphology and orthography in predicting the spelling performance in English-speaking and Russian-speaking children. Tests that tap phonology, morphology and orthography were administered to students in grades 4 and 6 in the USA and Russia. Multiple regression analyses showed that phonology and morphology contributed more for spelling of English words while orthography and morphology contributed more to the spelling of Russian words. The results are explained in terms of the orthographic nature of English and Russian languages as well as the instructional practices and the importance of morphology in spelling in both the languages. Copyright © 2015 John Wiley & Sons, Ltd.
NASA Astrophysics Data System (ADS)
Chen, Jie; Hu, Jiangnan
2017-06-01
Industry 4.0 and lean production has become the focus of manufacturing. A current issue is to analyse the performance of the assembly line balancing. This study focus on distinguishing the factors influencing the assembly line balancing. The one-way ANOVA method is applied to explore the significant degree of distinguished factors. And regression model is built to find key points. The maximal task time (tmax ), the quantity of tasks (n), and degree of convergence of precedence graph (conv) are critical for the performance of assembly line balancing. The conclusion will do a favor to the lean production in the manufacturing.
An Empirical Study of Eight Nonparametric Tests in Hierarchical Regression.
ERIC Educational Resources Information Center
Harwell, Michael; Serlin, Ronald C.
When normality does not hold, nonparametric tests represent an important data-analytic alternative to parametric tests. However, the use of nonparametric tests in educational research has been limited by the absence of easily performed tests for complex experimental designs and analyses, such as factorial designs and multiple regression analyses,…
How Many Subjects Does It Take to Do a Regression Analysis?
ERIC Educational Resources Information Center
Green, Samuel B.
1991-01-01
An evaluation of the rules-of-thumb used to determine the minimum number of subjects required to conduct multiple regression analyses suggests that researchers who use a rule of thumb rather than power analyses trade simplicity of use for accuracy and specificity of response. Insufficient power is likely to result. (SLD)
Hydrology and trout populations of cold-water rivers of Michigan and Wisconsin
Hendrickson, G.E.; Knutilla, R.L.
1974-01-01
Statistical multiple-regression analyses showed significant relationships between trout populations and hydrologic parameters. Parameters showing the higher levels of significance were temperature, hardness of water, percentage of gravel bottom, percentage of bottom vegetation, variability of streamflow, and discharge per unit drainage area. Trout populations increase with lower levels of annual maximum water temperatures, with increase in water hardness, and with increase in percentage of gravel and bottom vegetation. Trout populations also increase with decrease in variability of streamflow, and with increase in discharge per unit drainage area. Most hydrologic parameters were significant when evaluated collectively, but no parameter, by itself, showed a high degree of correlation with trout populations in regression analyses that included all the streams sampled. Regression analyses of stream segments that were restricted to certain limits of hardness, temperature, or percentage of gravel bottom showed improvements in correlation. Analyses of trout populations, in pounds per acre and pounds per mile and hydrologic parameters resulted in regression equations from which trout populations could be estimated with standard errors of 89 and 84 per cent, respectively.
T56. AN EXPLORATORY ANALYSIS CONVERTING SCORES BETWEEN THE PANSS AND BNSS
Kott, Alan; Daniel, David
2018-01-01
Abstract Background The Brief Negative Symptom Scale is a relatively new instrument designed specifically to measure the negative symptoms in schizophrenia. Recently more clinical trials include the BNSS scale as a secondary or exploratory outcome, typically along with the PANSS. In the current analysis we aimed at establishing the equations that would allow conversion between the BNSS scale total score and the PANSS negative subscale and PANSS negative factors score as well as conversion equations between the expressive deficits and avolition/apathy factors of the scales. (Kirkpatrick, 2011; Strauss, 2012) Methods Data from 518 schizophrenia clinical trials subjects with both PANSS and BNSS data available were used. Regression analyses predicting the BNSS total score with the PANSS negative subscale score, and the BNSS total score with the PANSS Negative factor (NFS) score were performed on data from all subjects. Regression analyses predicting the BNSS avolition/apathy factor (items 1, 2, 3, 5, 6, 7, and 8) with the PANSS avolition/apathy factor (items N2, N4 and G16) and the BNSS expressive deficits factor (items 4, 9, 10, 11, 12, and 13)with the expressive deficits factor (items N1, N3, N6, G5, G7, and G13)of the PANSS were performed on a sample of 318 subjects with individual BNSS item scores available. In addition to estimating the equations we as well calculated the Pearson’s correlations between the scales. Results The PANSS and BNSS avolition/apathy factors were highly correlated (r=0.70) as were the expressive deficit factors r=0.83). The following equations predicting the BNSS total score were obtained from regression analyses performed on 2,560 data points: BNSS_total = -11.64 + 2.10*PANSS_negative_subscale BNSS_total = -9.26 + 2.11*PANSS_NFS The following equations predicting the BNSS factor scores from the PANSS factor scores were obtained from regression analyses performed on 1,634 data points: BNSS_avolition/apathy = -2.40 + 2.38 * PANSS_avolition/apathy BNSS_expressive_deficit_factor = -4.21 + 1.27 * PANSS_expressive_deficit_factor Discussion The BNSS differs from the PANSS negative factor because it addresses all five currently recognized domains of negative symptoms including anhedonia and attempts to differentiate anticipatory from consummatory states. In our analysis we have replicated the strong correlation between the BNSS total score and PANSS negative subscale and newly identified strong correlations between the BNSS total score and NFS as well as strong correlations between the avolotion/apathy and expressive deficit factors of the BNSS and the PANSS scales. (Kirkpatrick, 2011)The provided equations offer a useful tool allowing researchers and clinicians to easily convert the data between the instruments for reasons such as pooling data from multiple trials using one of the instruments, to allow interpretation of results within the context of previously conducted research, etc. but as well offer a framework for risk based monitoring to identify data deviating from the expected relationship and allow for a targeted exploration of the causes for such a disagreement. The data used for analysis included not only subjects with predominantly negative symptoms but as well acutely psychotic subjects as well as subjects in stable conditions allowing therefore to generalize the results across the majority of schizophrenic subjects. This post-hoc analysis is exploratory. We plan to further explore the potential utility of equations addressing the relationships among schizophrenia measures of symptom severity in an iterative manner with larger datasets.
Zhu, Xiang; Stephens, Matthew
2017-01-01
Bayesian methods for large-scale multiple regression provide attractive approaches to the analysis of genome-wide association studies (GWAS). For example, they can estimate heritability of complex traits, allowing for both polygenic and sparse models; and by incorporating external genomic data into the priors, they can increase power and yield new biological insights. However, these methods require access to individual genotypes and phenotypes, which are often not easily available. Here we provide a framework for performing these analyses without individual-level data. Specifically, we introduce a “Regression with Summary Statistics” (RSS) likelihood, which relates the multiple regression coefficients to univariate regression results that are often easily available. The RSS likelihood requires estimates of correlations among covariates (SNPs), which also can be obtained from public databases. We perform Bayesian multiple regression analysis by combining the RSS likelihood with previously proposed prior distributions, sampling posteriors by Markov chain Monte Carlo. In a wide range of simulations RSS performs similarly to analyses using the individual data, both for estimating heritability and detecting associations. We apply RSS to a GWAS of human height that contains 253,288 individuals typed at 1.06 million SNPs, for which analyses of individual-level data are practically impossible. Estimates of heritability (52%) are consistent with, but more precise, than previous results using subsets of these data. We also identify many previously unreported loci that show evidence for association with height in our analyses. Software is available at https://github.com/stephenslab/rss. PMID:29399241
Bayesian Unimodal Density Regression for Causal Inference
ERIC Educational Resources Information Center
Karabatsos, George; Walker, Stephen G.
2011-01-01
Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…
Logistic regression applied to natural hazards: rare event logistic regression with replications
NASA Astrophysics Data System (ADS)
Guns, M.; Vanacker, V.
2012-06-01
Statistical analysis of natural hazards needs particular attention, as most of these phenomena are rare events. This study shows that the ordinary rare event logistic regression, as it is now commonly used in geomorphologic studies, does not always lead to a robust detection of controlling factors, as the results can be strongly sample-dependent. In this paper, we introduce some concepts of Monte Carlo simulations in rare event logistic regression. This technique, so-called rare event logistic regression with replications, combines the strength of probabilistic and statistical methods, and allows overcoming some of the limitations of previous developments through robust variable selection. This technique was here developed for the analyses of landslide controlling factors, but the concept is widely applicable for statistical analyses of natural hazards.
Exploring Gender Difference in Sleep Quality of Young Adults: Findings from a Large Population Study
Fatima, Yaqoot; Doi, Suhail A.R.; Najman, Jake M.; Mamun, Abdullah Al
2016-01-01
Objectives To explore if gender difference in sleep quality is due to higher prevalence of depression in females, and whether socio-demographic and lifestyle factors have a differential effect on sleep quality in males and females. Methods Youth self-reports and the Pittsburgh Sleep Quality Index were used to assess sleep quality and associated risk factors. Logistic regression analyses were used to analyze the association between various risk factors and poor sleep quality. Results Reports from 3,778 young adults (20.6±0.86 years) indicate a higher prevalence of poor sleep quality in females than males (65.1% vs. 49.8%). It seems that gender difference in poor sleep is independent of depression, socio-demographics, and lifestyle factors, since the higher odds of poor sleep quality in females was robust to adjust for depression, socio-demographics, and lifestyle factors (OR: 1.53, 95% CI: 1.23–1.90). Lifestyle factors (eg, smoking) (OR 1.91; 95% CI 1.05–3.46) were associated with sleep quality in only males. Conclusion Our findings indicate that female vulnerability to poor sleep quality should be explored beyond psycho-social disparities. Perhaps, exploring if the female predisposition to poor sleep quality originates at the biological level could lead to the answer. PMID:28188139
Crowe, Laura; Butterworth, Peter; Leach, Liana
2016-12-01
This study analysed data from the Household Income and Labour Dynamics in Australia (HILDA) Survey to examine the relationship between employment status and mental health, and the mediating effects of financial hardship, mastery and social support. In addition, the study sought to explore the effects of duration of unemployment on mental health. The primary analysis used three waves of data from the HILDA Survey with 4965 young adult respondents. Longitudinal population-averaged logistic regression models assessed the association of employment status and mental health, including the contribution of mastery, financial hardship and social support in explaining this association between employment groups (unemployed vs. employed; under employed vs. employed). Sensitivity analyses utilised a fixed-effects approach and also considered the full-range of working-age respondents. Regression analysis was used to explore the effect of duration of unemployment on mental health. Respondents' who identified as unemployed or underemployed were at higher risk of poor mental health outcomes when compared to their employed counterparts. This association was ameliorated when accounting for mastery, financial hardship and social support for the unemployed, and was fully mediated for the underemployed. The fixed-effects models showed the transition to unemployment was associated with a decline in mental health and that mastery in particular contributed to that change. The same results were found with a broader age range of respondents. Finally, the relationship between duration of unemployment and mental health was not linear, with mental health showing marked decline across the first 9 weeks of unemployment. Mastery, social support and financial hardship are important factors in understanding the association of poor mental health with both unemployment and underemployment. Furthermore, the results suggest that the most deleterious effects on mental health may occur in the first two months of unemployment before plateauing. In order to prevent deterioration in mental health, these findings suggest intervention should commence immediately following job loss.
Labbe, D; Rytz, A; Godinot, N; Ferrage, A; Martin, N
2017-01-01
Increasing portion sizes over the last 30 years are considered to be one of the factors underlying overconsumption. Past research on the drivers of portion selection for foods showed that larger portions are selected for foods delivering low expected satiation. However, the respective contribution of expected satiation vs. two other potential drivers of portion size selection, i.e. perceived healthfulness and expected tastiness, has never been explored. In this study, we conjointly explored the role of expected satiation, perceived healthfulness and expected tastiness when selecting portions within a range of six commercial pizzas varying in their toppings and brands. For each product, 63 pizza consumers selected a portion size that would satisfy them for lunch and scored their expected satiation, perceived healthfulness and expected tastiness. As six participants selected an entire pizza as ideal portion independently of topping or brand, their data sets were not considered in the data analyses completed on responses from 57 participants. Hierarchical multiple regression analyses showed that portion size variance was predicted by perceived healthiness and expected tastiness variables. Two sub-groups of participants with different portion size patterns across pizzas were identified through post-hoc exploratory analysis. The explanatory power of the regression model was significantly improved by adding interaction terms between sub-group and expected satiation variables and between sub-group and perceived healthfulness variables to the model. Analysis at a sub-group level showed either positive or negative association between portion size and expected satiation depending on sub-groups. For one group, portion size selection was more health-driven and for the other, more hedonic-driven. These results showed that even when considering a well-liked product category, perceived healthfulness can be an important factor influencing portion size decision. Copyright © 2016 Nestec S.A. Published by Elsevier Ltd.. All rights reserved.
Diversity and distribution of parasitic angiosperms in China.
Zhang, Guangfu; Li, Qian; Sun, Shucun
2018-05-01
Parasitic plants are an important component of vegetation worldwide, but their diversity and distribution in China have not been systematically reported. This study aimed to (1) explore floral characteristics of China's parasitic plants, (2) map spatial distribution of diversity of these species, and (3) explore factors influencing the distribution pattern. We compiled a nationwide species list of parasitic plants in China, and for each species, we recorded its phylogeny, endemism, and life form (e.g., herb vs. shrub; hemiparasite vs. holoparasite). Species richness and area-corrected species richness were calculated for 28 provinces, covering 98.89% of China's terrestrial area. Regression analyses were performed to determine relationships between provincial area-corrected species richness of parasitic plants and provincial total species richness (including nonparasitic plants) and physical settings (altitude, midlongitude, and midlatitude). A total of 678 species of parasitic angiosperms are recorded in China, 63.13% of which are endemic. Of the total, 59.73% (405 species) are perennials, followed by shrubs/subshrubs (14.75%) and vines (1.47%). About 76.11% (516 species) are of root hemiparasites, higher than that of stem parasites (100, 14.75%), root holoparasites (9.00%), and endophytic parasites (0.15%). A significant positive relationship is found between the area-corrected species richness and the total species richness, which has been previously demonstrated to increase with decreasing longitude and latitude. Moreover, more parasitic species are found in the southwest high-altitude areas than low areas. Consistently, the area-corrected species richness increases with increasing altitude, decreasing latitude, and decreasing longitude, as indicated by regression analyses. China is rich in parasitic flora with a high proportion of endemic species. Perennials and root hemiparasites are the dominant types. The spatial distribution of parasitic plants is largely heterogeneous, with more species living in southwest China, similar to the distribution pattern of Chinese angiosperms. The positive relationship between parasitic and nonparasitic plant species richness should be addressed in the future.
BHARDWAJ, Nikha; SAHNI, Priya; SINGHVI, Abhishek; NAYAK, Meghanand; TIWARI, Vineeta
2014-01-01
Branches of the posterior division of the mandibular nerve show various anomalous communications in the infratemporal region. Understanding such communication has relevance in the management of neuropathies and surgical procedures in this region. This study was conducted to explore such communicating branches, anticipating that they might provide information of clinical significance. A total of 15 human cadavers (30 infratemporal regions) were studied to explore such communicating branches in infratemporal region. The branches of the posterior division of the mandibular nerve were carefully dissected, and these branches were studied and analysed for any abnormal course. In one case, a rare type of bilateral communication between the auriculotemporal nerve and the inferior alveolar nerve, forming a loop with no association with any structure, was observed. It is possible that such communicating branches may be associated with delayed regression of the first arch vessels. The clinical implications of these anomalous communications require further detailed study for improved management of neuropathies and surgical procedures. PMID:25977637
Ádám, Szilvia; Nistor, Anikó; Nistor, Katalin; Hazag, Anikó
2014-08-10
Effective management and prevention of widespread burnout among medical students in Hungary require thorough understanding of its relations to coping strategies, which lacks sufficient data. To explore the prevalence of burnout and its relations to coping strategies among medical students. Cross-sectional study with 292 participants. Burnout was assessed by the Maslach Burnout Inventory-Student Survey. Coping strategies were evaluated by the Folkman-Lazarus Ways of Coping Questionnaire and questions about health-maintenance behaviours. Associations between burnout and coping strategies were explored with linear regression analyses. The prevalence of high-level burnout was 25-56%. Both problem-focused coping and support-seeking were protective factors of exhaustion and cynicism, however, they predicted reduced personal accomplishment. Emotion-focused coping predicted exhaustion and cynicism and correlated negatively with reduced personal accomplishment. Health-maintenance behaviours were protective factors for exhaustion and predicted reduced personal accomplishment. Deployment of coping strategies that target the most prevalent burnout dimension may improve effective management of burnout.
Lakbakbi El Yaagoubi, F; Charoute, H; Bakhchane, A; Ajjemami, M; Benrahma, H; Errouagui, A; Kandil, M; Rouba, H; Barakat, A
2015-12-01
The aim of the present study is to explore the association between the APOA5 polymorphisms and haplotypes with obesity in Moroccan patients. The study was performed in 459 subjects, Obese (n=164) and non-obese (n=295). All subjects were genotyped for the APOA5 -1131T>C (rs662799) and c.56C>G (rs3135506) polymorphisms. The contribution of APOA5 polymorphisms and haplotypes in the increased risk of obesity were explored using logistic regression analyses. The -1131T>C and c.56C>G polymorphisms were significantly associated with obesity. Both polymorphisms were strongly associated with increased BMI. Analysis of constructed haplotypes showed a significant association between CG haplotype and susceptibility to obesity (OR [95%CI]=3.09 [1.93-4.97]; P<0.001). These results support a potential role for APOA5 common variants and related haplotypes as risk factors for obesity. Copyright © 2015 Elsevier Masson SAS. All rights reserved.
Moral emotions associated with prosocial and antisocial behavior in school-aged children.
Ortiz Barón, María J; Etxebarria Bilbao, Itziar; Apodaca Urquijo, Pedro; Conejero López, Susana; Pascual Jimeno, Aitziber
2018-02-01
The present study aims to explore the main effects and interactive effects of empathy, guilt, shame, pride (authentic and hubristic), and moral pride, on prosocial and antisocial behavior in children. The sample group comprised 351 children aged between 10 and 14 selected from four schools in the Basque Country (Spain). Hierarchical multiple regression models were used in the statistical analyses. Prosocial behavior was found to be predicted by the additive interaction between empathy and moral pride, by guilt and, to a lesser extent and negatively, by shame. In relation to antisocial behavior, children with a strong disposition to guilt scored lower for antisocial behavior, regardless of their empathy levels. Nevertheless, the combination of low empathy and low guilt levels was associated with highest antisocial behavior scores. As regards shame, this emotion was moderately associated with antisocial behavior. By exploring interactions the present study provided a more nuanced view of the emotional factors associated with children´s prosocial and antisocial behavior.
Magee, Joshua C.; Thorndike, Frances P.; Cox, Daniel J.; Borowitz, Stephen M.
2009-01-01
Objective To investigate whether parental worry about their children's health predicts usage of a pediatric Internet intervention for encopresis. Methods Thirty-nine families with a child diagnosed with encopresis completed a national clinical trial of an Internet-based intervention for encopresis (www.ucanpooptoo.com). Parents rated worry about their children's health, encopresis severity, current parent treatment for depression, and parent comfort with the Internet. Usage indicators were collected while participants utilized the intervention. Results Regression analyses showed that parents who reported higher baseline levels of worry about their children's health showed greater subsequent intervention use (β =.52, p =.002), even after accounting for other plausible predictors. Exploratory analyses indicated that this effect may be stronger for families with younger children. Conclusions Characteristics of individuals using Internet-based treatment programs, such as parental worry about their children's health, can influence intervention usage, and should be considered by developers of Internet interventions. PMID:18772228
Whited, William H; Wagar, Laura; Mandracchia, Jon T; Morgan, Robert D
2017-04-01
Meta-analyses examining the risk factors for recidivism have identified the importance of ties with criminal associates as well as thoughts and attitudes conducive to the continuance of criminal behavior (e.g., criminogenic thinking). Criminologists have theorized that a direct relationship exists between the association with criminal peers and the development of criminogenic thinking. The present study empirically explored the relationship between criminal associates and criminogenic thinking in 595 adult male inmates in the United States. It was hypothesized that the proportion of free time spent with and number of criminal associates would be associated with criminogenic thinking, as measured by two self-report instruments, the Measure of Offender Thinking Styles-Revised (MOTS-R) and the Psychological Inventory of Criminal Thinking Styles (PICTS). Hierarchal linear regression analyses demonstrated that the proportion of free time spent with criminal associates statistically predicted criminogenic thinking when controlling for demographic variables. The implications of these findings on correctional practice (including assessment and intervention) as well as future research are discussed.
imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel
Grapov, Dmitry; Newman, John W.
2012-01-01
Summary: Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. Availability and implementation: Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010). Contact: John.Newman@ars.usda.gov Supplementary Information: Installation instructions, tutorials and users manual are available at http://sourceforge.net/projects/imdev/. PMID:22815358
Ecodriving in hybrid electric vehicles--Exploring challenges for user-energy interaction.
Franke, Thomas; Arend, Matthias Georg; McIlroy, Rich C; Stanton, Neville A
2016-07-01
Hybrid electric vehicles (HEVs) can help to reduce transport emissions; however, user behaviour has a significant effect on the energy savings actually achieved in everyday usage. The present research aimed to advance understanding of HEV drivers' ecodriving strategies, and the challenges for optimal user-energy interaction. We conducted interviews with 39 HEV drivers who achieved above-average fuel efficiencies. Regression analyses showed that technical system knowledge and ecodriving motivation were both important predictors for ecodriving efficiency. Qualitative data analyses showed that drivers used a plethora of ecodriving strategies and had diverse conceptualisations of HEV energy efficiency regarding aspects such as the efficiency of actively utilizing electric energy or the efficiency of different acceleration strategies. Drivers also reported several false beliefs regarding HEV energy efficiency that could impair ecodriving efforts. Results indicate that ecodriving support systems should facilitate anticipatory driving and help users locate and maintain drivetrain states of maximum efficiency. Copyright © 2016 Elsevier Ltd and The Ergonomics Society. All rights reserved.
Smith, Alan D
2008-01-01
The marketability and viability of biometric technologies by companies marketing their own versions of pre-approved registered travel programmes have generated a number of controversies. Data were collected and analysed to formulate graphs, run regression and correlation analyses, and use Chi-square to formally test basic research propositions on a sample of 241 professionals in the Pittsburgh area. It was found that there was a significant relationship between the respondents' familiarity with new technology (namely web-enabled and internet sophistication) and knowledge of biometrics, in particular iris scans. Participants who frequently use the internet are more comfortable with innovative technology; although individuals with higher income levels have less trust in the government, it appeared that virtually everyone is concerned about trusting the government with their personal information. Healthcare professionals need to document the safety, CRM-related factors, and provide leadership in the international collaboration of biometric-related personal identification technologies, since they will be one of the main beneficiaries of the implementation of such technologies.
Voith, Laura A; Topitzes, James; Reynolds, Arthur J
2016-01-01
Significant associations between childhood victimization and later revictimization have materialized in previous literature; yet, the victimization cycle has been primarily explored with indicators of sexual assault, although insight into linkages between other forms of victimization remains limited. This study examined connections from family conflict exposure and physical abuse in childhood to violent crime victimization in adulthood, assessing also gender differences and neighborhood influences. Results from logistic regression and hierarchical linear modeling with data from the Chicago Longitudinal Study, a panel of 1,539 low-income, ethnic/racial minority children, unearthed a significant relation between family conflict exposure and later revictimization. Moderated by gender, these analyses showed girls exposed to frequent family conflict are particularly vulnerable to revictimization in adulthood. Exploratory analyses unveiled a potential linkage between childhood physical abuse and later revictimization for men. Neighborhood effects marginally influenced results in one instance. Public health implications are discussed.
Text Mining of Journal Articles for Sleep Disorder Terminologies.
Lam, Calvin; Lai, Fu-Chih; Wang, Chia-Hui; Lai, Mei-Hsin; Hsu, Nanly; Chung, Min-Huey
2016-01-01
Research on publication trends in journal articles on sleep disorders (SDs) and the associated methodologies by using text mining has been limited. The present study involved text mining for terms to determine the publication trends in sleep-related journal articles published during 2000-2013 and to identify associations between SD and methodology terms as well as conducting statistical analyses of the text mining findings. SD and methodology terms were extracted from 3,720 sleep-related journal articles in the PubMed database by using MetaMap. The extracted data set was analyzed using hierarchical cluster analyses and adjusted logistic regression models to investigate publication trends and associations between SD and methodology terms. MetaMap had a text mining precision, recall, and false positive rate of 0.70, 0.77, and 11.51%, respectively. The most common SD term was breathing-related sleep disorder, whereas narcolepsy was the least common. Cluster analyses showed similar methodology clusters for each SD term, except narcolepsy. The logistic regression models showed an increasing prevalence of insomnia, parasomnia, and other sleep disorders but a decreasing prevalence of breathing-related sleep disorder during 2000-2013. Different SD terms were positively associated with different methodology terms regarding research design terms, measure terms, and analysis terms. Insomnia-, parasomnia-, and other sleep disorder-related articles showed an increasing publication trend, whereas those related to breathing-related sleep disorder showed a decreasing trend. Furthermore, experimental studies more commonly focused on hypersomnia and other SDs and less commonly on insomnia, breathing-related sleep disorder, narcolepsy, and parasomnia. Thus, text mining may facilitate the exploration of the publication trends in SDs and the associated methodologies.
Cohn, Amy; Cobb, Caroline O; Niaura, Raymond S; Richardson, Amanda
2015-12-01
Despite the increasing consumption of little cigars and cigarillos (LCCs), few studies have examined unique predictors and correlates of LCC use among adult cigarette smokers. This study explored differences between cigarette smokers with and without a history of LCC use on harm perceptions, use of other tobacco products (chewing tobacco, snus, e-cigarettes, and dissolvables), cigarette smoking/cessation-related behaviors/cognitions, and mental health and substance use disorder symptoms. A geographically diverse sample of current cigarette smokers were included in analyses (n = 1270). Frequencies of LCC use, awareness, purchase, and harm perceptions were examined and logistic regression models investigated differences between LCC ever and never users on a variety of factors, controlling for demographics. Bivariate analyses showed that LCC users were more likely to be male, younger, have lower income, have tried other tobacco products, perceive LCCs as less harmful than cigarettes, and endorse lifetime substance disorder symptoms. Menthol and other tobacco product use were the only significant correlates of LCC use in logistic regression models. Post-hoc analyses showed that other tobacco product use partially mediated an association between substance use disorder symptoms and LCC use. A third of the sample had tried LCCs, and LCC users were more likely to have experimented with other tobacco products and used menthol. The high degree of co-use of cigarette smoking and LCCs with other tobacco products and the association of LCC use to substance use suggests that these users have unique risk factors and deserve specific targeting in public health campaigns. © The Author 2015. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Shi, Lei; Zhang, Danyang; Zhou, Chenyu; Yang, Libin; Sun, Tao; Hao, Tianjun; Peng, Xiangwen; Gao, Lei; Liu, Wenhui; Mu, Yi; Han, Yuzhen; Fan, Lihua
2017-01-01
Objectives The purpose of the present study was to explore the characteristics of workplace violence that Chinese nurses at tertiary and county–level hospitals encountered in the 12 months from December 2014 to January 2016, to identify and analyse risk factors for workplace violence, and to establish the basis for future preventive strategies. Design A cross–sectional study. Setting A total of 44 tertiary hospitals and 90 county–level hospitals in 16 provinces (municipalities or autonomous regions) in China. Methods We used stratified random sampling to collect data from December 2014 to January 2016. We distributed 21 360 questionnaires, and 15 970 participants provided valid data (effective response rate=74.77%). We conducted binary logistic regression analyses on the risk factors for workplace violence among the nurses in our sample and analysed the reasons for aggression. Results The prevalence of workplace violence was 65.8%; of this, 64.9% was verbal violence, and physical violence and sexual harassment accounted for 11.8% and 3.9%, respectively. Frequent workplace violence occurred primarily in emergency and paediatric departments. Respondents reported that patients’ relatives were the main perpetrators in tertiary and county–level hospitals. Logistic regression analysis showed that respondents’ age, department, years of experience and direct contact with patients were common risk factors at different levels of hospitals. Conclusions Workplace violence is frequent in China’s tertiary and county–level hospitals; its occurrence is especially frequent in the emergency and paediatric departments. It is necessary to cope with workplace violence by developing effective control strategies at individual, hospital and national levels. PMID:28647719
The effects of normal aging on multiple aspects of financial decision-making.
Bangma, Dorien F; Fuermaier, Anselm B M; Tucha, Lara; Tucha, Oliver; Koerts, Janneke
2017-01-01
Financial decision-making (FDM) is crucial for independent living. Due to cognitive decline that accompanies normal aging, older adults might have difficulties in some aspects of FDM. However, an improved knowledge, personal experience and affective decision-making, which are also related to normal aging, may lead to a stable or even improved age-related performance in some other aspects of FDM. Therefore, the present explorative study examines the effects of normal aging on multiple aspects of FDM. One-hundred and eighty participants (range 18-87 years) were assessed with eight FDM tests and several standard neuropsychological tests. Age effects were evaluated using hierarchical multiple regression analyses. The validity of the prediction models was examined by internal validation (i.e. bootstrap resampling procedure) as well as external validation on another, independent, sample of participants (n = 124). Multiple regression and correlation analyses were applied to investigate the mediation effect of standard measures of cognition on the observed effects of age on FDM. On a relatively basic level of FDM (e.g., paying bills or using FDM styles) no significant effects of aging were found. However more complex FDM, such as making decisions in accordance with specific rules, becomes more difficult with advancing age. Furthermore, an older age was found to be related to a decreased sensitivity for impulsive buying. These results were confirmed by the internal and external validation analyses. Mediation effects of numeracy and planning were found to explain parts of the association between one aspect of FDM (i.e. Competence in decision rules) and age; however, these cognitive domains were not able to completely explain the relation between age and FDM. Normal aging has a negative influence on a complex aspect of FDM, however, other aspects appear to be unaffected by normal aging or improve.
Menachemi, Nir; Chukmaitov, Askar; Saunders, Charles; Brooks, Robert G
2008-01-01
Hospitals have been slow to adopt information technology (IT) largely because of a lack of generalizable evidence of the value associated with such adoption. To explore the relationship between IT adoption and quality of care in acute-care hospitals. Primary data on hospital IT adoption were combined with secondary hospital discharge data. Regression analyses were used to examine the relationship between various measures of IT adoption and several quality indicators after controlling for confounders. Adoption of IT was measured using a previously validated method that considers clinical, administrative, and strategic IT capabilities of acute-care hospitals. Quality measures included the Inpatient Quality Indicators developed by the Agency for Healthcare Research and Quality. Data from 98 hospitals were available for analyses. Hospitals adopted an average of 11.3 (45.2%) clinical IT applications, 15.7 (74.8%) administrative IT applications, and 5 (50%) strategic IT applications. In multivariate regression analyses, hospitals that adopted a greater number of IT applications were significantly more likely to have desirable quality outcomes on seven Inpatient Quality Indicator measures, including risk-adjusted mortality from percutaneous transluminal coronary angioplasty, gastrointestinal hemorrhage, and acute myocardial infarction. An increase in clinical IT applications was also inversely correlated with utilization of incidental appendectomy, and an increase in the adoption of strategic IT applications was inversely correlated with risk-adjusted mortality from craniotomy and laparoscopic cholecystectomy. Hospital adoption of IT is associated with desirable quality outcomes across hospitals in Florida. These findings will assist hospital leaders interested in understanding better the effect of costly IT adoption on quality of care in their institutions.
Shi, Lei; Zhang, Danyang; Zhou, Chenyu; Yang, Libin; Sun, Tao; Hao, Tianjun; Peng, Xiangwen; Gao, Lei; Liu, Wenhui; Mu, Yi; Han, Yuzhen; Fan, Lihua
2017-06-24
The purpose of the present study was to explore the characteristics of workplace violence that Chinese nurses at tertiary and county-level hospitals encountered in the 12 months from December 2014 to January 2016, to identify and analyse risk factors for workplace violence, and to establish the basis for future preventive strategies. A cross-sectional study. A total of 44 tertiary hospitals and 90 county-level hospitals in 16 provinces (municipalities or autonomous regions) in China. We used stratified random sampling to collect data from December 2014 to January 2016. We distributed 21 360 questionnaires, and 15 970 participants provided valid data (effective response rate=74.77%). We conducted binary logistic regression analyses on the risk factors for workplace violence among the nurses in our sample and analysed the reasons for aggression. The prevalence of workplace violence was 65.8%; of this, 64.9% was verbal violence, and physical violence and sexual harassment accounted for 11.8% and 3.9%, respectively. Frequent workplace violence occurred primarily in emergency and paediatric departments. Respondents reported that patients' relatives were the main perpetrators in tertiary and county-level hospitals. Logistic regression analysis showed that respondents' age, department, years of experience and direct contact with patients were common risk factors at different levels of hospitals. Workplace violence is frequent in China's tertiary and county-level hospitals; its occurrence is especially frequent in the emergency and paediatric departments. It is necessary to cope with workplace violence by developing effective control strategies at individual, hospital and national levels. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Okello, James; Nakimuli-Mpungu, Etheldreda; Musisi, Seggane; Broekaert, Eric; Derluyn, Ilse
2014-01-01
The association between attachment and mental health symptoms in adolescents in a post-conflict low resource setting has not been documented. We investigated the relationship between parent and peer attachment and posttraumatic stress, depression and anxiety symptoms in a sample of 551 adolescents aged 13-21 years old. Attachment quality was assessed using the Inventory of Parent and Peer Attachment (IPPA). Post-traumatic stress, depression and anxiety symptoms were assessed using the Impact of Events Scale Revised (IESR) and Hopkins Symptom Checklist for Adolescents (HSCL-37A) respectively. Gender differences in attachment relationships were determined using independent t-tests. Multivariate logistic regression was used to assess whether attachment relationships were independently associated with posttraumatic stress, depression and anxiety symptoms. Hierarchical linear regression analyses were conducted to explore the moderating role of war-related trauma. Our analyses revealed gender differences in attachment to parents, with males reporting stronger attachment than females. Parental attachment was protective against depression and anxiety symptoms but not posttraumatic stress symptoms after adjusting for potential confounders. Alienation by parents was independently associated with an increase in these mental health symptoms while peer attachment was not associated with any of these symptoms. However, in situations of severe trauma, our analyses showed that peer attachment was significantly protective against post-traumatic stress symptoms. Secure parental attachment is associated with better psychosocial adjustment in adolescents affected by war. Further, adolescents with secure peer attachment relationships in situations of severe war trauma may be less likely to develop posttraumatic stress symptoms. Interventions to enhance peer support in this post conflict setting would benefit this vulnerable population.
Effect of soya protein on blood pressure: a meta-analysis of randomised controlled trials.
Dong, Jia-Yi; Tong, Xing; Wu, Zhi-Wei; Xun, Peng-Cheng; He, Ka; Qin, Li-Qiang
2011-08-01
Observational studies have indicated that soya food consumption is inversely associated with blood pressure (BP). Evidence from randomised controlled trials (RCT) on the BP-lowering effects of soya protein intake is inconclusive. We aimed to evaluate the effectiveness of soya protein intake in lowering BP. The PubMed database was searched for published RCT in the English language through to April 2010, which compared a soya protein diet with a control diet. We conducted a random-effects meta-analysis to examine the effects of soya protein on BP. Subgroup and meta-regression analyses were performed to explore possible explanations for heterogeneity among trials. Meta-analyses of twenty-seven RCT showed a mean decrease of 2·21 mmHg (95 % CI - 4·10, - 0·33; P = 0·021) for systolic BP (SBP) and 1·44 mmHg (95 % CI - 2·56, - 0·31; P = 0·012) for diastolic BP (DBP), comparing the participants in the soya protein group with those in the control group. Soya protein consumption significantly reduced SBP and DBP in both hypertensive and normotensive subjects, and the reductions were markedly greater in hypertensive subjects. Significant and greater BP reductions were also observed in trials using carbohydrate, but not milk products, as the control diet. Meta-regression analyses further revealed a significantly inverse association between pre-treatment BP and the level of BP reductions. In conclusion, soya protein intake, compared with a control diet, significantly reduces both SBP and DBP, but the BP reductions are related to pre-treatment BP levels of subjects and the type of control diet used as comparison.
Well-Being and Functioning at Work Following Thefts and Robberies: A Comparative Study
Setti, Ilaria; van der Velden, Peter G.; Sommovigo, Valentina; Ferretti, Maria S.; Giorgi, Gabriele; O'Shea, Deirdre; Argentero, Piergiorgio
2018-01-01
Thefts and robberies may be traumatizing experiences for employees. The aim of this study is to explore to what extent experiencing robberies and/or thefts at work affect workers' mental health, coping-self-efficacy, social support seeking, workload and job satisfaction. Drawing on Conservation of Resources theory, this research contributes to our understanding of the psychological sequelae of robbery and theft for employees working in small businesses. The few studies on the effects of robberies and thefts in the past have predominantly focused on bank employees. A sample of Italian tobacconists and jewelers completed an anonymous self-report questionnaire examining the experience of robbery and/or theft, social support seeking (Coping Orientation to Problem Experienced scale, COPE-IV), psycho-somatic well-being (General Health Questionnaire, GHQ-12), job satisfaction (a single item). Victims of thefts and/or robberies reported their PTSD symptoms (Impact of Event- Revised 6, IES-R-6) and trauma-related coping self-efficacy (Coping Self-Efficacy scale, CSE-7), based on the last event (N = 319). Descriptive analyses, ANOVA, ANCOVA and multiple regressions analyses have been carried out. The results indicated that victims of thefts and robberies experienced greater workload, higher psycho-physical complaints and greater tendency to seek social support in comparison with their non-affected counterparts. They additionally experienced more post-traumatic symptomatology and perceived lower coping self-efficacy, when compared to those who experienced thefts “only.” Multiple regression analyses revealed that CSE was positively related to job satisfaction, although the presence of psycho-physical symptoms was the main predictor of job satisfaction among both non-affected and affected employees. PTSD was not an independent predictor of job satisfaction. In sum, robberies and/or thefts exposure undermines differently workers' well-being. PMID:29515488
Okello, James; Nakimuli-Mpungu, Etheldreda; Musisi, Seggane; Broekaert, Eric; Derluyn, Ilse
2014-01-01
Background The association between attachment and mental health symptoms in adolescents in a post-conflict low resource setting has not been documented. Methods We investigated the relationship between parent and peer attachment and posttraumatic stress, depression and anxiety symptoms in a sample of 551 adolescents aged 13–21 years old. Attachment quality was assessed using the Inventory of Parent and Peer Attachment (IPPA). Post-traumatic stress, depression and anxiety symptoms were assessed using the Impact of Events Scale Revised (IESR) and Hopkins Symptom Checklist for Adolescents (HSCL-37A) respectively. Gender differences in attachment relationships were determined using independent t-tests. Multivariate logistic regression was used to assess whether attachment relationships were independently associated with posttraumatic stress, depression and anxiety symptoms. Hierarchical linear regression analyses were conducted to explore the moderating role of war-related trauma. Results Our analyses revealed gender differences in attachment to parents, with males reporting stronger attachment than females. Parental attachment was protective against depression and anxiety symptoms but not posttraumatic stress symptoms after adjusting for potential confounders. Alienation by parents was independently associated with an increase in these mental health symptoms while peer attachment was not associated with any of these symptoms. However, in situations of severe trauma, our analyses showed that peer attachment was significantly protective against post-traumatic stress symptoms. Conclusions Secure parental attachment is associated with better psychosocial adjustment in adolescents affected by war. Further, adolescents with secure peer attachment relationships in situations of severe war trauma may be less likely to develop posttraumatic stress symptoms. Interventions to enhance peer support in this post conflict setting would benefit this vulnerable population. PMID:24614005
Kvarme, Lisbeth Gravdal; Haraldstad, Kristin; Helseth, Sølvi; Sørum, Ragnhild; Natvig, Gerd Karin
2009-01-01
Background While research on school children's health has mainly focused on risk factors and illness, few studies have examined aspects of health promotion. Thus, this study focuses on health promotional factors including general self-efficacy (GSE) and health-related quality of life (HRQOL). GSE refers to a global confidence in coping ability across a wide range of demanding situations, and is related to health. The purpose of this study was to examine associations between GSE and HRQOL, and associations between HRQOL and socio-demographic characteristics. Knowledge of these associations in healthy school children is currently lacking. Methods During 2006 and 2007, 279 school children in the seventh grade across eastern Norway completed a survey assessing their GSE and HRQOL. The children were from schools that had been randomly selected using cluster sampling. T-tests were computed to compare mean subscale values between HRQOL and socio-demographic variables. Single and multiple regression analyses were performed to explore associations among GSE, HRQOL and socio-demographic variables. Results Regression analyses showed a significant relationship between increasing degrees of GSE and increasing degrees of HRQOL. In analyses adjusted for socio-demographic variables, boys scored higher than girls on self-esteem. School children from single-parent families had lower scores on HRQOL than those from two-parent families, and children who had relocated within the last five years had lower scores on HRQOL than those who had not relocated. Conclusion The strong relationship between GSE and HRQOL indicates that GSE might be a resource for increasing the HRQOL for school children. PMID:19772673
Domestic Violence, Unwanted Pregnancy and Pregnancy Termination among Urban Women of Bangladesh
2013-01-01
Objective This paper explores the relationship between domestic violence against women inflicted by husbands, unwanted pregnancy and pregnancy termination of Bangladeshi urban women. Materials and methods The study used the nationally representative 2007 Bangladesh Demographic and Health Survey (BDHS) data. The BDHS covered a representative sample of 10,996 ever married women from rural and urban areas. The BDHS used a separate module to collect information from women regarding domestic violence. The survey gathered information of domestic violence from 1,013 urban women which are the basis of the study. Simple cross tabulation, bivariate and multivariate statistical analyses were performed to analyzing data. Results Overall, the lifetime prevalence of domestic violence was 47.5%. Of the most recent pregnancies, 15.6% were unwanted and 16.0% of the women terminated pregnancy in their marital life. The multivariate binary logistic regression analyses yielded quantitatively important and reliable estimate of unwanted pregnancy and pregnancy termination. The regression analyses yielded significantly (p < 0.05) increased risk of unwanted pregnancy only for physical violence (OR = 2.35, 95% CI = 1.28-4.32) and for both physical and sexual violence (OR = 2.27, 95% CI = 1.02-5.28), and higher risk of pregnancy termination for only physical violence (OR = 1.41, 95% CI = 0.95-2.10) and for both physical and sexual violence (OR = 1.81, 95% CI = 1.07-3.04) than women who were never abused. Current age, higher parity and early marriage are also important determinants of unwanted pregnancy and pregnancy termination. Conclusion Violence against women inflicted by husbands is commonplace in Bangladesh. Any strategy to reduce the burden of unwanted pregnancy and induced abortion should include prevention of violence against women and strengthening women's sexual and reproductive health. PMID:24971097
Hoedjes, Meeke; de Kruif, Anja; Mols, Floortje; Bours, Martijn; Beijer, Sandra; Winkels, Renate; Westerman, Marjan J; Seidell, Jaap C; Kampman, Ellen
2017-01-01
To describe the proportion of colorectal cancer (CRC) survivors who perceive a need for dietary support; to examine which socio-demographic, cancer-related, and health-related characteristics are associated with this need; to explore reasons for (not) needing support; and to explore CRC survivors' specific needs and preferences with regard to lifestyle (i.e., dietary, exercise, and/or weight management) support. This mixed-methods study comprised a cross-sectional survey among 1774 Dutch CRC survivors and three focus groups (n = 16). To examine associations, logistic regression analyses were conducted. Focus groups were audio-taped, transcribed verbatim, and analyzed using a thematic approach. Of 1458 respondents (82%), 1198 (67.5%) were included for analyses. 17.5% reported a need for dietary support. Characteristics associated with this need were: being younger, living without a partner, having a stoma, having diabetes, and being overweight or obese. The main reason for needing support was being unable to initiate and maintain lifestyle changes without support. CRC survivors preferred receiving information soon after diagnosis to make an autonomous, informed decision on improving their lifestyle. They preferred to receive individually-tailored lifestyle support in an autonomy-supportive environment, preferably with involvement of their family and fellow-sufferers. This study has provided knowledge on appropriate support for CRC survivors in need for dietary support to improve health outcomes by promoting adherence to lifestyle and body weight recommendations. Findings can be used to better identify CRC survivors in need for dietary support, and to tailor lifestyle support to their needs and preferences in order to promote uptake, adherence, and effectiveness.
Kuunders, Theo J M; Jacobs, Monique A M; Goor, Ien A M van de; Bon-Martens, Marja J H van; Oers, Hans A M van; Paulussen, Theo G W M
2017-08-15
Previous evaluation showed insufficient use of a national guideline for integrated local health policy by Regional Health Services (RHS) in the Netherlands. The guideline focuses on five health topics and includes five checklists to support integrated municipal health policies. This study explores the determinants of guideline use by regional Dutch health professionals. A web survey was send to 304 RHS health professionals. The questionnaire was based on a theory- and research-based framework of determinants of public health innovations. Main outcomes were guideline use and completeness of use, defined as the number of health topics and checklists used. Associations between determinants and (completeness of) guideline use were explored by multivariate regression models. The survey was started by 120 professionals (39%). Finally, results from 73 respondents (24%) were eligible for analyses. All 28 Dutch RHS organizations were represented in the final dataset. About half of the respondents (48%) used the guideline. The average score for completeness of use (potential range 1-10) was 2.37 (sd = 1.78; range 1-7). Knowledge, perceived task responsibility and usability were significantly related to guideline use in univariate analyses. Only usability remained significant in the multivariate model on guideline use. Only self-efficacy accounted for significant proportions of variance in completeness of use. The results imply that strategies to improve guideline use by RHSs should primarily target perceived usability. Self-efficacy appeared the primary target for improving completeness of guideline use. Methods for targeting these determinants in RHSs are discussed.
Als-Nielsen, Bodil; Chen, Wendong; Gluud, Christian; Kjaergard, Lise L
2003-08-20
Previous studies indicate that industry-sponsored trials tend to draw proindustry conclusions. To explore whether the association between funding and conclusions in randomized drug trials reflects treatment effects or adverse events. Observational study of 370 randomized drug trials included in meta-analyses from Cochrane reviews selected from the Cochrane Library, May 2001. From a random sample of 167 Cochrane reviews, 25 contained eligible meta-analyses (assessed a binary outcome; pooled at least 5 full-paper trials of which at least 1 reported adequate and 1 reported inadequate allocation concealment). The primary binary outcome from each meta-analysis was considered the primary outcome for all trials included in each meta-analysis. The association between funding and conclusions was analyzed by logistic regression with adjustment for treatment effect, adverse events, and additional confounding factors (methodological quality, control intervention, sample size, publication year, and place of publication). Conclusions in trials, classified into whether the experimental drug was recommended as the treatment of choice or not. The experimental drug was recommended as treatment of choice in 16% of trials funded by nonprofit organizations, 30% of trials not reporting funding, 35% of trials funded by both nonprofit and for-profit organizations, and 51% of trials funded by for-profit organizations (P<.001; chi2 test). Logistic regression analyses indicated that funding, treatment effect, and double blinding were the only significant predictors of conclusions. Adjusted analyses showed that trials funded by for-profit organizations were significantly more likely to recommend the experimental drug as treatment of choice (odds ratio, 5.3; 95% confidence interval, 2.0-14.4) compared with trials funded by nonprofit organizations. This association did not appear to reflect treatment effect or adverse events. Conclusions in trials funded by for-profit organizations may be more positive due to biased interpretation of trial results. Readers should carefully evaluate whether conclusions in randomized trials are supported by data.
[Association of XRCC1 genetic polymorphism with susceptibility to non-Hodgkin's lymphoma].
Li, Su-Xia; Zhu, Hong-Li; Guo, Bo; Yang, Yang; Wang, Hong-Yan; Sun, Jing-Fen; Cao, Yong-Bin
2014-08-01
The purpose of this study was to explore the association between X-ray repair cross-complementing group 1 (XRCC1)gene polymorphism and non-Hodgkin's lymphoma risk. A total of 282 non-Hodgkin's lymphoma (NHL) patients and 231 normal controls were used to investigate the effect of three XRCC1 gene polymorphisms (rs25487, rs25489, rs1799782) on susceptibility to non-Hodgkin's lymphoma. Genotyping was performed by using SNaPshot method. All statistical analyses were done with R software. Genotype and allele frequencies of XRCC1 were compared between the patients and controls by using the chi-square test. Crude and adjusted odd ratios and 95% confidence intervals were calculated by using logistic regression on the basis of genetic different models. For four kinds of NHL, subgroup analyses were also conducted. Combined genotype analyses of the three XRCC1 polymorphisms were also done by using logistic regression. The results showed that the variant genotype frequency was not significantly different between the controls and NHL or NHL subtype cases. Combined genotype analyses of XRCC1 399-280-194 results showed that the combined genotype was not associated with risk of NHL overall, but the VT-WT-WT combined genotype was associated with the decreased risk of T-NHL (OR: 0.21; 95%CI (0.06-0.8); P = 0.022), and the WT-VT-WT combined genotype was associated with the increased risk of FL(OR:15.23; 95%CI (1.69-137.39); P = 0.015). It is concluded that any studied polymorphism (rs25487, rs25489, rs1799782) alone was not shown to be rela-ted with the risk of NHL or each histologic subtype of NHL. The combined genotype with mutation of three SNP of XRCC1 was not related to the risk of NHL. However, further large-scale studies would be needed to confirm the association of decreased or increased risk for T-NHL and FL with the risk 3 combined SNP mutants of XRCC1 polymorphism.
School Collective Efficacy and Bullying Behaviour: A Multilevel Study.
Olsson, Gabriella; Låftman, Sara Brolin; Modin, Bitte
2017-12-20
As with other forms of violent behaviour, bullying is the result of multiple influences acting on different societal levels. Yet the majority of studies on bullying focus primarily on the characteristics of individual bullies and bullied. Fewer studies have explored how the characteristics of central contexts in young people's lives are related to bullying behaviour over and above the influence of individual-level characteristics. This study explores how teacher-rated school collective efficacy is related to student-reported bullying behaviour (traditional and cyberbullying victimization and perpetration). A central focus is to explore if school collective efficacy is related similarly to both traditional bullying and cyberbullying. Analyses are based on combined information from two independent data collections conducted in 2016 among 11th grade students ( n = 6067) and teachers ( n = 1251) in 58 upper secondary schools in Stockholm. The statistical method used is multilevel modelling, estimating two-level binary logistic regression models. The results demonstrate statistically significant between-school differences in all outcomes, except traditional bullying perpetration. Strong school collective efficacy is related to less traditional bullying perpetration and less cyberbullying victimization and perpetration, indicating that collective norm regulation and school social cohesion may contribute to reducing the occurrence of bullying.
School Collective Efficacy and Bullying Behaviour: A Multilevel Study
Olsson, Gabriella; Låftman, Sara Brolin; Modin, Bitte
2017-01-01
As with other forms of violent behaviour, bullying is the result of multiple influences acting on different societal levels. Yet the majority of studies on bullying focus primarily on the characteristics of individual bullies and bullied. Fewer studies have explored how the characteristics of central contexts in young people’s lives are related to bullying behaviour over and above the influence of individual-level characteristics. This study explores how teacher-rated school collective efficacy is related to student-reported bullying behaviour (traditional and cyberbullying victimization and perpetration). A central focus is to explore if school collective efficacy is related similarly to both traditional bullying and cyberbullying. Analyses are based on combined information from two independent data collections conducted in 2016 among 11th grade students (n = 6067) and teachers (n = 1251) in 58 upper secondary schools in Stockholm. The statistical method used is multilevel modelling, estimating two-level binary logistic regression models. The results demonstrate statistically significant between-school differences in all outcomes, except traditional bullying perpetration. Strong school collective efficacy is related to less traditional bullying perpetration and less cyberbullying victimization and perpetration, indicating that collective norm regulation and school social cohesion may contribute to reducing the occurrence of bullying. PMID:29261114
Johnson, Rolanda L
2002-01-01
The purpose of this study was to explore the relationships between racial identity, self-esteem, sociodemographic factors, and health-promoting lifestyles in a sample of African Americans. African American mortality rates are disproportionately high. These rates are associated with health behaviors that are driven by many factors including lifestyle practices. Other factors may be self-esteem and racial identity. Research shows gender differences in health behaviors, but no studies have explored a racial identity and gender interaction. Exploring these relationships may lead to the improved health status of African Americans. A convenience sample of 224 was recruited consisting of 48% males (n = 108). The mean age was 37.2 years (SD = 12.6). Regression analyses demonstrated that the internalization racial identity stage (beta = .12; p < .001) and self-esteem (beta = .50; p < .001) contributed to the variance in health-promoting lifestyles. Self-esteem did not mediate the relationship between immersion and health-promoting lifestyle scores (beta = -.16; p = .03). The full model Beta values show that racial identity remains significant with sociodemographics and interactions controlled, but moderators do not. Racial identity, while not a strong predictor, has some impact on health-promoting lifestyles regardless of sociodemographics.
Xie, Hualin; Liu, Zhifei; Wang, Peng; Liu, Guiying; Lu, Fucai
2013-01-01
Ecological land is one of the key resources and conditions for the survival of humans because it can provide ecosystem services and is particularly important to public health and safety. It is extremely valuable for effective ecological management to explore the evolution mechanisms of ecological land. Based on spatial statistical analyses, we explored the spatial disparities and primary potential drivers of ecological land change in the Poyang Lake Eco-economic Zone of China. The results demonstrated that the global Moran’s I value is 0.1646 during the 1990 to 2005 time period and indicated significant positive spatial correlation (p < 0.05). The results also imply that the clustering trend of ecological land changes weakened in the study area. Some potential driving forces were identified by applying the spatial autoregressive model in this study. The results demonstrated that the higher economic development level and industrialization rate were the main drivers for the faster change of ecological land in the study area. This study also tested the superiority of the spatial autoregressive model to study the mechanisms of ecological land change by comparing it with the traditional linear regressive model. PMID:24384778
Pedro, Kris Tunac De; Esqueda, Monica Christina
2017-07-01
Military-connected youth often experience daily stressors that affect their academic success and social and emotional development. Stressors such as multiple deployments and frequent school transitions may weaken the social ties that military-connected youth have with school communities, placing them at risk of social alienation and victimization. Within this youth population, military-connected lesbian, gay, bisexual, and transgender (LGBT) youth may be especially at risk of school victimization. However, to the authors' knowledge, no empirical studies have been conducted on the school experiences of military-connected LGBT youth. Drawing from the California Healthy Kids Survey (CHKS; n = 634,978), this study explored school victimization and weapon carrying among military-connected LGBT youth and their peers. Multivariate logistic regression analyses revealed that military connection, LGB identity, and transgender identity were associated with an increased odds of nonphysical victimization, physical violence, and weapon carrying. Military transgender youth were at an increased risk of weapon carrying (adjusted odds ratio [AOR] = 1.63; 95% confidence interval [CI] = [1.23, 2.16]). Future research is needed to explore risk and protective factors influencing school victimization and weapon carrying among military-connected LGBT youth.
Differences in the Drinking Behaviors of Chinese, Filipino, Korean, and Vietnamese College Students*
Lum, Chris; Corliss, Heather L.; Mays, Vickie M.; Cochran, Susan D.; Lui, Camillia K.
2009-01-01
Objective: This study examined alcohol drinking behaviors across ethnic subgroups of Asian college students by gender, foreign-born status, and college-related living arrangements. Method: Univariate and ordinal logistic regression analyses were employed to explore male and female Asian subgroup differences in alcohol drinking behaviors. The sample included 753 male and female undergraduates between the ages of 18 and 27 years who self-identified as Chinese, Filipino, Korean, or Vietnamese and who varied in their foreign-born status. Participants completed a self-administered questionnaire on their alcohol drinking practices. Results: Ordinal regression analysis assessed risks for increased consumption and found that Korean and Filipino students reported higher levels of alcohol consumption compared with other Asian subgroups. Students living in on-campus dormitories and in off-campus apartments reported higher alcohol consumption than did those living at home. Being born in the United States was a significant predictor of higher levels of alcohol consumption for women but not for men. Conclusions: Results of this study indicate the need for campus alcohol education and prevention programs capable of responding to specific Asian subgroup needs. PMID:19515297
Oral care experiences and challenges in children with autism spectrum disorders.
Stein, Leah I; Polido, José C; Najera, Sandy Oliver Lopez; Cermak, Sharon A
2012-01-01
The purpose of this study was to investigate the differences between children with autism spectrum disorders (ASD) and their typically developing peers in relation to aspects of oral care. Participants included 396 parents of ASD children or typically developing 2- to 18-year-olds. Parents completed a 37-item questionnaire designed by authors to elicit information about oral care in the home and dental office. Descriptive, bivariate, and multivariate regression analyses were conducted to examine the association between diagnostic group and oral care variables. Significantly more parents of ASD children than parents of typically developing children reported difficulty across almost all oral care variables explored, including oral care in the home, oral care at the dentist, and access to oral care. Following multivariate regression to control for possible confounders-including age, gender, Hispanic status, and paternal education level-all previously significant variables remained significant. This study indicates that children with autism spectrum disorders experience greater difficulties and barriers to care in both the home and dental office settings than their typically developing peers.
Braun, Lindsay M; Rodríguez, Daniel A; Evenson, Kelly R; Hirsch, Jana A; Moore, Kari A; Diez Roux, Ana V
2016-05-01
We used data from 3227 older adults in the Multi-Ethnic Study of Atherosclerosis (2004-2012) to explore cross-sectional and longitudinal associations between walkability and cardiometabolic risk factors. In cross-sectional analyses, linear regression was used to estimate associations of Street Smart Walk Score® with glucose, triglycerides, HDL and LDL cholesterol, systolic and diastolic blood pressure, and waist circumference, while logistic regression was used to estimate associations with odds of metabolic syndrome. Econometric fixed effects models were used to estimate longitudinal associations of changes in walkability with changes in each risk factor among participants who moved residential locations between 2004 and 2012 (n=583). Most cross-sectional and longitudinal associations were small and statistically non-significant. We found limited evidence that higher walkability was cross-sectionally associated with lower blood pressure but that increases in walkability were associated with increases in triglycerides and blood pressure over time. Further research over longer time periods is needed to understand the potential for built environment interventions to improve cardiometabolic health. Copyright © 2016 Elsevier Ltd. All rights reserved.
Mostafa, Kamal S M
2011-04-01
Malnutrition among under-five children is a chronic problem in developing countries. This study explores the socio-economic determinants of severe and moderate stunting among under-five children of rural Bangladesh. The study used data from the 2007 Bangladesh Demographic and Health Survey. Cross-sectional and multinomial logistic regression analyses were used to assess the effect of the socio-demographic variables on moderate and severe stunting over normal among the children. Findings revealed that over two-fifths of the children were stunted, of which 26.3% were moderately stunted and 15.1% were severely stunted. The multivariate multinomial logistic regression analysis yielded significantly increased risk of severe stunting (OR=2.53, 95% CI=1.34-4.79) and moderate stunting (OR=2.37, 95% CI=1.47-3.83) over normal among children with a thinner mother. Region, father's education, toilet facilities, child's age, birth order of children and wealth index were also important determinants of children's nutritional status. Development and poverty alleviation programmes should focus on the disadvantaged rural segments of people to improve their nutritional status.
Peak-flow characteristics of Wyoming streams
Miller, Kirk A.
2003-01-01
Peak-flow characteristics for unregulated streams in Wyoming are described in this report. Frequency relations for annual peak flows through water year 2000 at 364 streamflow-gaging stations in and near Wyoming were evaluated and revised or updated as needed. Analyses of historical floods, temporal trends, and generalized skew were included in the evaluation. Physical and climatic basin characteristics were determined for each gaging station using a geographic information system. Gaging stations with similar peak-flow and basin characteristics were grouped into six hydrologic regions. Regional statistical relations between peak-flow and basin characteristics were explored using multiple-regression techniques. Generalized least squares regression equations for estimating magnitudes of annual peak flows with selected recurrence intervals from 1.5 to 500 years were developed for each region. Average standard errors of estimate range from 34 to 131 percent. Average standard errors of prediction range from 35 to 135 percent. Several statistics for evaluating and comparing the errors in these estimates are described. Limitations of the equations are described. Methods for applying the regional equations for various circumstances are listed and examples are given.
Mixed kernel function support vector regression for global sensitivity analysis
NASA Astrophysics Data System (ADS)
Cheng, Kai; Lu, Zhenzhou; Wei, Yuhao; Shi, Yan; Zhou, Yicheng
2017-11-01
Global sensitivity analysis (GSA) plays an important role in exploring the respective effects of input variables on an assigned output response. Amongst the wide sensitivity analyses in literature, the Sobol indices have attracted much attention since they can provide accurate information for most models. In this paper, a mixed kernel function (MKF) based support vector regression (SVR) model is employed to evaluate the Sobol indices at low computational cost. By the proposed derivation, the estimation of the Sobol indices can be obtained by post-processing the coefficients of the SVR meta-model. The MKF is constituted by the orthogonal polynomials kernel function and Gaussian radial basis kernel function, thus the MKF possesses both the global characteristic advantage of the polynomials kernel function and the local characteristic advantage of the Gaussian radial basis kernel function. The proposed approach is suitable for high-dimensional and non-linear problems. Performance of the proposed approach is validated by various analytical functions and compared with the popular polynomial chaos expansion (PCE). Results demonstrate that the proposed approach is an efficient method for global sensitivity analysis.
Predictors of scoring at least 600 on COMLEX-USA Level 1: successful preparation strategies.
Vora, Aditya; Maltezos, Nathan; Alfonzo, Lauren; Hernandez, Nilda; Calix, Erica; Fernandez, M Isabel
2013-02-01
Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 scores are an important criterion used by residency directors to make residency placement decisions. To explore the association between scoring at least 600 on COMLEX-USA Level 1 and grade point average (GPA), scores on the Medical College Admission Test (MCAT), and different test preparation strategies. Third-year osteopathic medical students at Nova Southeastern University were invited to complete a self-administered survey regarding their COMLEX-USA preparation strategies and to provide consent for the researchers to access their preclinical GPA and their MCAT and COMLEX-USA scores. Descriptive analyses were conducted to understand examination preparation procedures and resources used, and bivariate analyses were conducted to identify the statisically significant predictors of scoring 600 or higher. Two separate logistic regressions were also run. The first included all of the statisically significant factors that emerged from the bivariate analyses, and the second examined which candidate predictors remained statistically significant once the effects of GPA and MCAT scores were removed. One hundred twenty-two students completed the survey, and 113 (93%) provided informed consent to access their preclinical GPA and their MCAT and COMLEX-USA scores. In the first regression, scoring 600 or higher was associated with a higher GPA (P<.02), a higher MCAT score (P<.05), earlier preparation initiation (P<.05), and not ranking the Comprehensive Osteopathic Medical Self-Assessment Examination (COMSAE) as the most helpful practice examination (P<.04). In the second regression, scoring 600 or higher was associated with earlier initiation of examination preparation (P<.01) and not ranking COMBANK (question bank for COMLEX-USA) as the most helpful question bank (P<.03). Among the different examination preparation methods, the specific resources ranked as most helpful were First Aid for the USMLE (United States Medical Licensing Examination) (review book), the COMSAE (practice examination); COMBANK (question bank); and Kaplan USMLE (lecture videos). Preclinical GPA and MCAT scores continue to be important predictors of scoring at least 600 on COMLEX-USA Level 1. However, the findings underscore the importance of maintaining a high GPA during the first 2 years of medical school and initiating COMLEX-USA preparation early.
ERIC Educational Resources Information Center
Shafiq, M. Najeeb
2013-01-01
Using quantile regression analyses, this study examines gender gaps in mathematics, science, and reading in Azerbaijan, Indonesia, Jordan, the Kyrgyz Republic, Qatar, Tunisia, and Turkey among 15-year-old students. The analyses show that girls in Azerbaijan achieve as well as boys in mathematics and science and overachieve in reading. In Jordan,…
Froud, Robert; Rajendran, Dévan; Patel, Shilpa; Bright, Philip; Bjørkli, Tom; Eldridge, Sandra; Buchbinder, Rachelle; Underwood, Martin
2017-06-01
A systematic review of nonspecific low back pain trials published between 1980 and 2012. To explore what proportion of trials have been powered to detect different bands of effect size; whether there is evidence that sample size in low back pain trials has been increasing; what proportion of trial reports include a sample size calculation; and whether likelihood of reporting sample size calculations has increased. Clinical trials should have a sample size sufficient to detect a minimally important difference for a given power and type I error rate. An underpowered trial is one within which probability of type II error is too high. Meta-analyses do not mitigate underpowered trials. Reviewers independently abstracted data on sample size at point of analysis, whether a sample size calculation was reported, and year of publication. Descriptive analyses were used to explore ability to detect effect sizes, and regression analyses to explore the relationship between sample size, or reporting sample size calculations, and time. We included 383 trials. One-third were powered to detect a standardized mean difference of less than 0.5, and 5% were powered to detect less than 0.3. The average sample size was 153 people, which increased only slightly (∼4 people/yr) from 1980 to 2000, and declined slightly (∼4.5 people/yr) from 2005 to 2011 (P < 0.00005). Sample size calculations were reported in 41% of trials. The odds of reporting a sample size calculation (compared to not reporting one) increased until 2005 and then declined (Equation is included in full-text article.). Sample sizes in back pain trials and the reporting of sample size calculations may need to be increased. It may be justifiable to power a trial to detect only large effects in the case of novel interventions. 3.
Murphy, Kevin; Birn, Rasmus M.; Handwerker, Daniel A.; Jones, Tyler B.; Bandettini, Peter A.
2009-01-01
Low-frequency fluctuations in fMRI signal have been used to map several consistent resting state networks in the brain. Using the posterior cingulate cortex as a seed region, functional connectivity analyses have found not only positive correlations in the default mode network but negative correlations in another resting state network related to attentional processes. The interpretation is that the human brain is intrinsically organized into dynamic, anti-correlated functional networks. Global variations of the BOLD signal are often considered nuisance effects and are commonly removed using a general linear model (GLM) technique. This global signal regression method has been shown to introduce negative activation measures in standard fMRI analyses. The topic of this paper is whether such a correction technique could be the cause of anti-correlated resting state networks in functional connectivity analyses. Here we show that, after global signal regression, correlation values to a seed voxel must sum to a negative value. Simulations also show that small phase differences between regions can lead to spurious negative correlation values. A combination breath holding and visual task demonstrates that the relative phase of global and local signals can affect connectivity measures and that, experimentally, global signal regression leads to bell-shaped correlation value distributions, centred on zero. Finally, analyses of negatively correlated networks in resting state data show that global signal regression is most likely the cause of anti-correlations. These results call into question the interpretation of negatively correlated regions in the brain when using global signal regression as an initial processing step. PMID:18976716
Murphy, Kevin; Birn, Rasmus M; Handwerker, Daniel A; Jones, Tyler B; Bandettini, Peter A
2009-02-01
Low-frequency fluctuations in fMRI signal have been used to map several consistent resting state networks in the brain. Using the posterior cingulate cortex as a seed region, functional connectivity analyses have found not only positive correlations in the default mode network but negative correlations in another resting state network related to attentional processes. The interpretation is that the human brain is intrinsically organized into dynamic, anti-correlated functional networks. Global variations of the BOLD signal are often considered nuisance effects and are commonly removed using a general linear model (GLM) technique. This global signal regression method has been shown to introduce negative activation measures in standard fMRI analyses. The topic of this paper is whether such a correction technique could be the cause of anti-correlated resting state networks in functional connectivity analyses. Here we show that, after global signal regression, correlation values to a seed voxel must sum to a negative value. Simulations also show that small phase differences between regions can lead to spurious negative correlation values. A combination breath holding and visual task demonstrates that the relative phase of global and local signals can affect connectivity measures and that, experimentally, global signal regression leads to bell-shaped correlation value distributions, centred on zero. Finally, analyses of negatively correlated networks in resting state data show that global signal regression is most likely the cause of anti-correlations. These results call into question the interpretation of negatively correlated regions in the brain when using global signal regression as an initial processing step.
How does gestational diabetes affect postpartum contraception in nondiabetic primiparous women?
Beydoun, Hind A.; Beydoun, May A.; Tamim, Hala
2009-01-01
Background: The aim of the study is to explore the effect of gestational diabetes mellitus (GDM) on postpartum contraception among nondiabetic primiparous women. Study Design: Secondary analyses of 2004–2005 Pregnancy Risk Assessment Monitoring System data from Michigan and Oregon. Methods: Analyses were performed on 2332 women, taking complex survey design into consideration. Crude and adjusted odds ratios (cOR; aOR) and their 95% confidence intervals (CI) were obtained using logistic regression analyses. Results: Postpartum use of hormonal (aOR=1.12, 95% CI: 0.68–1.83) and nonhormonal (aOR=1.18, 95% CI: 0.73–1.92) contraception were not influenced by GDM after controlling for confounders. Female sterilization was more frequently adopted (cOR=4.99, 95% CI: 1.13–22.17) and depomedroxyprogesterone acetate (DMPA) (cOR=0.53, 95% CI: 0.23–1.18), diaphragm/cervical cap/sponge (cOR=0.13, 95% CI: 0.016–0.95) and cervical ring (cOR=0.13, 95% CI: 0.017–0.98) were less frequently adopted by women reporting GDM diagnosis. Conclusion: With few exceptions, GDM does not appear to affect postpartum hormonal and nonhormonal contraception. PMID:19272498
Psychometric properties of the Valued Living Questionnaire Adapted to Dementia Caregiving.
Romero-Moreno, R; Gallego-Alberto, L; Márquez-González, M; Losada, A
2017-09-01
Caring for a relative with dementia is associated with physical and emotional health problems in caregivers. There are no studies analysing the role of personal values in the caregiver stress process. This study aims to analyse the psychometric properties of the Valued Living Questionnaire Adapted to Caregiving (VLQAC), and to explore the relationship between personal values and stressors, coping strategies and caregiver distress. A total of 253 individual interviews with caregivers of relatives with dementia were conducted, and the following variables were assessed: personal values, stressors, cognitive fusion, emotional acceptance, depression, anxiety, and satisfaction with life. An exploratory factor analysis and hierarchical regression analyses were carried out. Two factors were obtained, Commitment to Own Values and Commitment to Family Values which explain 43.42% of variance, with reliability coefficients (Cronbach's alpha) of .76 and .61, respectively. Personal values had a significant effect on emotional distress (depression and anxiety) and satisfaction with life, even when controlling for socio-demographic variables, stressors and coping strategies. Results suggest that the personal values construct of dementia caregivers is two-dimensional. The personal values of the caregivers play an important role in accounting for distress and satisfaction with life in this population.
Pinto, Giuliana; Tarchi, Christian; Bigozzi, Lucia
2015-12-01
The relationship between oral language and the writing process at early acquisition stages and the ways the former can enhance or limit the latter has not been researched extensively. The predictive relationship between kindergarten oral narrative competence and the first- and second-grade written narrative competence was explored in a 3-year longitudinal study. Among the first and second graders, the relationship between orthographic competence and narrative competence in written productions was also analysed. One hundred and nine Italian children participated in this study. Kindergarteners produced an oral narrative, whereas the first and second graders produced a written narrative. The oral and written narratives were analysed in terms of cohesion, coherence, and structure. The first-grade orthographic competence was assessed via a dictation task. Multiple linear regression and mediational analyses were performed. Kindergarten oral narrative competence affected the first- and second-grade written narrative competence via a mediational effect of orthographic competence. The results suggest the importance of practicing oral narrative competence in kindergarten and first grade and the value of composition quality independent of orthographic text accuracy. © 2015 The British Psychological Society.
NASA Astrophysics Data System (ADS)
Sulistianingsih, E.; Kiftiah, M.; Rosadi, D.; Wahyuni, H.
2017-04-01
Gross Domestic Product (GDP) is an indicator of economic growth in a region. GDP is a panel data, which consists of cross-section and time series data. Meanwhile, panel regression is a tool which can be utilised to analyse panel data. There are three models in panel regression, namely Common Effect Model (CEM), Fixed Effect Model (FEM) and Random Effect Model (REM). The models will be chosen based on results of Chow Test, Hausman Test and Lagrange Multiplier Test. This research analyses palm oil about production, export, and government consumption to five district GDP are in West Kalimantan, namely Sanggau, Sintang, Sambas, Ketapang and Bengkayang by panel regression. Based on the results of analyses, it concluded that REM, which adjusted-determination-coefficient is 0,823, is the best model in this case. Also, according to the result, only Export and Government Consumption that influence GDP of the districts.
Campos-Filho, N; Franco, E L
1989-02-01
A frequent procedure in matched case-control studies is to report results from the multivariate unmatched analyses if they do not differ substantially from the ones obtained after conditioning on the matching variables. Although conceptually simple, this rule requires that an extensive series of logistic regression models be evaluated by both the conditional and unconditional maximum likelihood methods. Most computer programs for logistic regression employ only one maximum likelihood method, which requires that the analyses be performed in separate steps. This paper describes a Pascal microcomputer (IBM PC) program that performs multiple logistic regression by both maximum likelihood estimation methods, which obviates the need for switching between programs to obtain relative risk estimates from both matched and unmatched analyses. The program calculates most standard statistics and allows factoring of categorical or continuous variables by two distinct methods of contrast. A built-in, descriptive statistics option allows the user to inspect the distribution of cases and controls across categories of any given variable.
Masser, Barbara M; White, Katherine M; Hamilton, Kyra; McKimmie, Blake M
2012-02-01
Using a Theory of Planned Behavior (TPB) framework the current study explored the beliefs of current blood donors (N=172) about donating during a low and high-risk phase of a potential avian influenza outbreak. While the majority of behavioral, normative, and control beliefs identified in preliminary research differed as a function of donors' intentions to donate during both phases of an avian influenza outbreak, regression analyses suggested that the targeting of different specific beliefs during each phase of an outbreak would yield most benefit in bolstering donors' intentions to remain donating. The findings provide insight in how to best motivate donors in different phases of an avian influenza outbreak. Copyright © 2011 Elsevier Ltd. All rights reserved.
Security in Father-child Relationship and Behavior Problems in Sexually Abused Children
Parent-Boursier, Claudel; Hébert, Martine
2017-01-01
While the influence of mother-child relationships on children’s recovery following sexual abuse has been documented, less is known about the possible contribution of father-child relationships on outcomes. The present study explored the contribution of children’s perception of security in their relationship to the father on internalizing and externalizing behavior problems, while controlling for sociodemographic variables and variables associated with the mother-child relationship. Participants were 142 children who disclosed sexual abuse involving a perpetrator other than the biological father. Regression analyses indicated that children’s perception of security to fathers contributed to the prediction of parental reports of children’s behavior problems, even after controlling for maternal psychological distress and perception of security to mothers. PMID:29321696
Andres, Fanny; Castanier, Carole; Le Scanff, Christine
2014-02-01
The present study aims to explore the mediating effects of conscientiousness and alexithymia in the relationship between parental attachment style and alcohol use in a large sample of athletic young people. Participants included 434 French sport sciences students. Alcohol use, parental attachment style, conscientiousness and alexithymia were assessed. The hypotheses were tested by using regression and bootstrapping mediation analyses. Maternal insecure attachment style is positively associated with alcohol use. The current study highlights a multiple pathway in this relationship. The results reveal the mediating effect of low conscientiousness and alexithymia between maternal insecure attachment and alcohol use. Athletes' alcohol use seems to be the result of a complex association of underlying psychological factors. © 2013.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Long, Matthew; Simpkins, Travis; Cutler, Dylan
There is significant interest in using battery energy storage systems (BESS) to reduce peak demand charges, and therefore the life cycle cost of electricity, in commercial buildings. This paper explores the drivers of economic viability of BESS in commercial buildings through statistical analysis. A sample population of buildings was generated, a techno-economic optimization model was used to size and dispatch the BESS, and the resulting optimal BESS sizes were analyzed for relevant predictor variables. Explanatory regression analyses were used to demonstrate that peak demand charges are the most significant predictor of an economically viable battery, and that the shape ofmore » the load profile is the most significant predictor of the size of the battery.« less
A Statistical Analysis of the Economic Drivers of Battery Energy Storage in Commercial Buildings
DOE Office of Scientific and Technical Information (OSTI.GOV)
Long, Matthew; Simpkins, Travis; Cutler, Dylan
There is significant interest in using battery energy storage systems (BESS) to reduce peak demand charges, and therefore the life cycle cost of electricity, in commercial buildings. This paper explores the drivers of economic viability of BESS in commercial buildings through statistical analysis. A sample population of buildings was generated, a techno-economic optimization model was used to size and dispatch the BESS, and the resulting optimal BESS sizes were analyzed for relevant predictor variables. Explanatory regression analyses were used to demonstrate that peak demand charges are the most significant predictor of an economically viable battery, and that the shape ofmore » the load profile is the most significant predictor of the size of the battery.« less
Influence of health providers on pediatrics' immunization rate.
Al-lela, Omer Q B; Baidi Bahari, Mohd; Al-abbassi, Mustafa G; Salih, Muhannad R M; Basher, Amena Y
2012-12-01
To identify the immunization providers' characteristics associated with immunization rate in children younger than 2 years. A cohort and a cluster sampling design were implemented; 528 children between 18 and 70 months of age were sampled in five public health clinics in Mosul-Iraq. Providers' characterizations were obtained. Immunization rate for the children was assessed. Risk factors for partial immunization were explored using both bivariate analyses and multi-level logistic regression models. Less than half of the children had one or more than one missed dose, considered as partial immunization cases. The study found significant association of immunization rate with provider's type. Two factors were found that strongly impacted on immunization rate in the presence of other factors: birthplace and immunization providers' type.
Shieh, Gwowen
2010-05-28
Due to its extensive applicability and computational ease, moderated multiple regression (MMR) has been widely employed to analyze interaction effects between 2 continuous predictor variables. Accordingly, considerable attention has been drawn toward the supposed multicollinearity problem between predictor variables and their cross-product term. This article attempts to clarify the misconception of multicollinearity in MMR studies. The counterintuitive yet beneficial effects of multicollinearity on the ability to detect moderator relationships are explored. Comprehensive treatments and numerical investigations are presented for the simplest interaction model and more complex three-predictor setting. The results provide critical insight that both helps avoid misleading interpretations and yields better understanding for the impact of intercorrelation among predictor variables in MMR analyses.
Ergöçmen, Banu Akadli; Yüksel-Kaptanoğlu, İlknur; Jansen, Henrica A F M Henriette
2013-09-01
This study explores the severity and frequency of physical violence from an intimate partner experienced by 15- to 59-year-old women and their help-seeking behavior by using data from the "National Research on Domestic Violence Against Women in Turkey." Chi-square tests and logistic regression analyses were conducted to compare the relationship between severity and frequency of violence and women's characteristics. Of all ever-partnered women, 36% have been exposed to partner violence; almost half of these experienced severe types of violence. Women used informal strategies to manage the violence instead of seeking help from formal institutions. Help-seeking behavior increases with increased severity and frequency of violence.
Kulis, Stephen; Hodge, David R.; Ayers, Stephanie L.; Brown, Eddie F.; Marsiglia, Flavio F.
2012-01-01
Background and objective This article explores the aspects of spirituality and religious involvement that may be the protective factors against substance use among urban American Indian (AI) youth. Methods Data come from AI youth (N = 123) in five urban middle schools in a southwestern metropolis. Results Ordinary least squares regression analyses indicated that following Christian beliefs and belonging to the Native American Church were associated with lower levels of substance use. Conclusions and Scientific Significance Following AI traditional spiritual beliefs was associated with antidrug attitudes, norms, and expectancies. Having a sense of belonging to traditions from both AI cultures and Christianity may foster integration of the two worlds in which urban AI youth live. PMID:22554065
Batelaan, Neeltje M; Bosman, Renske C; Muntingh, Anna; Scholten, Willemijn D; Huijbregts, Klaas M; van Balkom, Anton J L M
2017-09-13
Objectives To examine the risk of relapse and time to relapse after discontinuation of antidepressants in patients with anxiety disorder who responded to antidepressants, and to explore whether relapse risk is related to type of anxiety disorder, type of antidepressant, mode of discontinuation, duration of treatment and follow-up, comorbidity, and allowance of psychotherapy. Design Systematic review and meta-analyses of relapse prevention trials. Data sources PubMed, Cochrane, Embase, and clinical trial registers (from inception to July 2016). Study selection Eligible studies included patients with anxiety disorder who responded to antidepressants, randomised patients double blind to either continuing antidepressants or switching to placebo, and compared relapse rates or time to relapse. Data extraction Two independent raters selected studies and extracted data. Random effect models were used to estimate odds ratios for relapse, hazard ratios for time to relapse, and relapse prevalence per group. The effect of various categorical and continuous variables was explored with subgroup analyses and meta-regression analyses respectively. Bias was assessed using the Cochrane tool. Results The meta-analysis included 28 studies (n=5233) examining relapse with a maximum follow-up of one year. Across studies, risk of bias was considered low. Discontinuation increased the odds of relapse compared with continuing antidepressants (summary odds ratio 3.11, 95% confidence interval 2.48 to 3.89). Subgroup analyses and meta-regression analyses showed no statistical significance. Time to relapse (n=3002) was shorter when antidepressants were discontinued (summary hazard ratio 3.63, 2.58 to 5.10; n=11 studies). Summary relapse prevalences were 36.4% (30.8% to 42.1%; n=28 studies) for the placebo group and 16.4% (12.6% to 20.1%; n=28 studies) for the antidepressant group, but prevalence varied considerably across studies, most likely owing to differences in the length of follow-up. Dropout was higher in the placebo group (summary odds ratio 1.31, 1.06 to 1.63; n=27 studies). Conclusions Up to one year of follow-up, discontinuation of antidepressant treatment results in higher relapse rates among responders compared with treatment continuation. The lack of evidence after a one year period should not be interpreted as explicit advice to discontinue antidepressants after one year. Given the chronicity of anxiety disorders, treatment should be directed by long term considerations, including relapse prevalence, side effects, and patients' preferences. 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.
Standardized Regression Coefficients as Indices of Effect Sizes in Meta-Analysis
ERIC Educational Resources Information Center
Kim, Rae Seon
2011-01-01
When conducting a meta-analysis, it is common to find many collected studies that report regression analyses, because multiple regression analysis is widely used in many fields. Meta-analysis uses effect sizes drawn from individual studies as a means of synthesizing a collection of results. However, indices of effect size from regression analyses…
Brink, Eva; Brändström, Yvonne; Cliffordsson, Christina; Herlitz, Johan; Karlson, Björn W
2008-12-01
This paper is a report of a study to explore health problems, physical and mental functioning, and physical activity in working-age patients after myocardial infarction, in order to assess the possible effects of these factors on return to work. A diagnosis of myocardial infarction may discourage patients from continuing an active working life. Enabling myocardial infarction patients to return to work has benefits for both individuals and society. A convenience sample was recruited of 88 patients,
A pilot study to examine the relationship between boredom and spirituality in cancer patients.
Inman, Alice; Kirsh, Kenneth L; Passik, Steven D
2003-06-01
Spirituality has been neglected when assessing the well-being of cancer patients. Traditionally, researchers have focused on areas such as physical, social, and emotional functioning. However, there is a potential for spirituality to have a large impact on quality of life in patients with cancer. The current study was conducted to investigate the relationship between spirituality and boredom, constraint, social contact, and depression. A total of 100 oncology patients completed several assessment instruments, including the Purposelessness, Under-stimulation, and Boredom (PUB) Scale, Functional Assessment of Cancer Therapy Scale-Anemia, Brief Zung Self-Rating Depression Scale (BZSDS), Cancer Behavior Inventory, Systems of Belief Inventory, and Eastern Cooperative Oncology Group Performance Status Scale. The average age of the sample was 62.37 years (SD = 13.43) and was comprised of 60 women (60%) and 40 men (40%). A regression analysis conducted to explore the impact of the variables on quality of life found only the BZSDS (R2 delta = .650, F = 180.392, p < .001) and the PUB Scale (R2 delta = .077, F = 26.885, p < .001) were significant predictors of quality of life. Another set of regression analyses were conducted to explore whether spirituality had a mediating effect on this relationship, but the mediated model was not supported. We conclude that spirituality and boredom are difficult concepts to define, operationalize, and measure, but crucial to our understanding of quality of life in advanced cancer. More research is needed to clarify the nature of the interrelationships between these important concepts.
Using decision trees to understand structure in missing data
Tierney, Nicholas J; Harden, Fiona A; Harden, Maurice J; Mengersen, Kerrie L
2015-01-01
Objectives Demonstrate the application of decision trees—classification and regression trees (CARTs), and their cousins, boosted regression trees (BRTs)—to understand structure in missing data. Setting Data taken from employees at 3 different industrial sites in Australia. Participants 7915 observations were included. Materials and methods The approach was evaluated using an occupational health data set comprising results of questionnaires, medical tests and environmental monitoring. Statistical methods included standard statistical tests and the ‘rpart’ and ‘gbm’ packages for CART and BRT analyses, respectively, from the statistical software ‘R’. A simulation study was conducted to explore the capability of decision tree models in describing data with missingness artificially introduced. Results CART and BRT models were effective in highlighting a missingness structure in the data, related to the type of data (medical or environmental), the site in which it was collected, the number of visits, and the presence of extreme values. The simulation study revealed that CART models were able to identify variables and values responsible for inducing missingness. There was greater variation in variable importance for unstructured as compared to structured missingness. Discussion Both CART and BRT models were effective in describing structural missingness in data. CART models may be preferred over BRT models for exploratory analysis of missing data, and selecting variables important for predicting missingness. BRT models can show how values of other variables influence missingness, which may prove useful for researchers. Conclusions Researchers are encouraged to use CART and BRT models to explore and understand missing data. PMID:26124509
Røislien, Jo; Søvik, Signe; Eken, Torsten
2018-01-01
Trauma is a leading global cause of death, and predicting the burden of trauma admissions is vital for good planning of trauma care. Seasonality in trauma admissions has been found in several studies. Seasonal fluctuations in daylight hours, temperature and weather affect social and cultural practices but also individual neuroendocrine rhythms that may ultimately modify behaviour and potentially predispose to trauma. The aim of the present study was to explore to what extent the observed seasonality in daily trauma admissions could be explained by changes in daylight and weather variables throughout the year. Retrospective registry study on trauma admissions in the 10-year period 2001-2010 at Oslo University Hospital, Ullevål, Norway, where the amount of daylight varies from less than 6 hours to almost 19 hours per day throughout the year. Daily number of admissions was analysed by fitting non-linear Poisson time series regression models, simultaneously adjusting for several layers of temporal patterns, including a non-linear long-term trend and both seasonal and weekly cyclic effects. Five daylight and weather variables were explored, including hours of daylight and amount of precipitation. Models were compared using Akaike's Information Criterion (AIC). A regression model including daylight and weather variables significantly outperformed a traditional seasonality model in terms of AIC. A cyclic week effect was significant in all models. Daylight and weather variables are better predictors of seasonality in daily trauma admissions than mere information on day-of-year.
Te Boekhorst, S; Depla, M F I A; Francke, A L; Twisk, J W R; Zwijsen, S A; Hertogh, C M P M
2013-04-01
As physical restraints should only be used in exceptional cases, there is an urgent need for alternatives to restraint use. Surveillance technology could be such an alternative. This study explored whether nursing-home residents with dementia subjected to surveillance technology had better quality of life scores for mood, behavioral and societal dimensions than residents with physical restraints. Quality of life was assessed longitudinally, with three measurements in six psychogeriatric nursing homes of residents with surveillance technology (n = 170) and residents with physical restraints (n = 22). QUALIDEM subscales were used to measure five dimensions of quality of life. Multilevel longitudinal univariate and multivariate regression techniques were used to analyze the data. Because physical restraints were almost exclusively used in residents with low activities of daily living (ADL) independency (18 of the 22), we restricted the regression analyses to residents with a Barthel Index score ≤ 5 (overall n = 53). Univariate results showed that highly ADL-dependent residents with surveillance technology had significantly more positive affect than highly ADL-dependent residents with physical restraints. However, this difference proved to be no longer significant after adjustment for the confounders: age, sex and stage of dementia. Quality of life of highly ADL-dependent nursing-home residents with dementia seems to be unrelated to the use of surveillance technology as opposed to physical restraints. Copyright © 2012 John Wiley & Sons, Ltd.
Brucker, Debra L.; Stewart, Maureen
2013-01-01
To explore whether the implementation of performance-based contracting (PBC) within the State of Maine’s substance abuse treatment system resulted in improved performance, one descriptive and two empirical analyses were conducted. The first analysis examined utilization and payment structure. The second study was designed to examine whether timeliness of access to outpatient (OP) and intensive outpatient (IOP) substance abuse assessments and treatment, measures that only became available after the implementation of PBC, differed between PBC and non-PBC agencies in the year following implementation of PBC. Using treatment admission records from the state treatment data system (N=9,128), logistic regression models run using generalized equation estimation techniques found no significant difference between PBC agencies and other agencies on timeliness of access to assessments or treatment, for both OP and IOP services. The third analysis, conducted using discharge data from the years prior to and after the implementation of performance-based contracting (N=6,740) for those agencies that became a part of the performance-based contracting system, was designed to assess differences in level of participation, retention, and completion of treatment. Regression models suggest that performance on OP client engagement and retention measures was significantly poorer the year after the implementation of PBC, but that temporal rather than a PBC effects were more significant. No differences were found between years for IOP level of participation or completion of treatment measures. PMID:21249461
Random regression analyses using B-splines to model growth of Australian Angus cattle
Meyer, Karin
2005-01-01
Regression on the basis function of B-splines has been advocated as an alternative to orthogonal polynomials in random regression analyses. Basic theory of splines in mixed model analyses is reviewed, and estimates from analyses of weights of Australian Angus cattle from birth to 820 days of age are presented. Data comprised 84 533 records on 20 731 animals in 43 herds, with a high proportion of animals with 4 or more weights recorded. Changes in weights with age were modelled through B-splines of age at recording. A total of thirteen analyses, considering different combinations of linear, quadratic and cubic B-splines and up to six knots, were carried out. Results showed good agreement for all ages with many records, but fluctuated where data were sparse. On the whole, analyses using B-splines appeared more robust against "end-of-range" problems and yielded more consistent and accurate estimates of the first eigenfunctions than previous, polynomial analyses. A model fitting quadratic B-splines, with knots at 0, 200, 400, 600 and 821 days and a total of 91 covariance components, appeared to be a good compromise between detailedness of the model, number of parameters to be estimated, plausibility of results, and fit, measured as residual mean square error. PMID:16093011
Staley, James R; Jones, Edmund; Kaptoge, Stephen; Butterworth, Adam S; Sweeting, Michael J; Wood, Angela M; Howson, Joanna M M
2017-06-01
Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort designs, as it is less computationally expensive. Although Cox and logistic regression models have been compared previously in cohort studies, this work does not completely cover the GWAS setting nor extend to the case-cohort study design. Here, we evaluated Cox and logistic regression applied to cohort and case-cohort genetic association studies using simulated data and genetic data from the EPIC-CVD study. In the cohort setting, there was a modest improvement in power to detect SNP-disease associations using Cox regression compared with logistic regression, which increased as the disease incidence increased. In contrast, logistic regression had more power than (Prentice weighted) Cox regression in the case-cohort setting. Logistic regression yielded inflated effect estimates (assuming the hazard ratio is the underlying measure of association) for both study designs, especially for SNPs with greater effect on disease. Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies. First to analyse all SNPs with logistic regression to identify associated variants below a pre-defined P-value threshold, and second to fit Cox regression (appropriately weighted in case-cohort studies) to those identified SNPs to ensure accurate estimation of association with disease.
Regression and multivariate models for predicting particulate matter concentration level.
Nazif, Amina; Mohammed, Nurul Izma; Malakahmad, Amirhossein; Abualqumboz, Motasem S
2018-01-01
The devastating health effects of particulate matter (PM 10 ) exposure by susceptible populace has made it necessary to evaluate PM 10 pollution. Meteorological parameters and seasonal variation increases PM 10 concentration levels, especially in areas that have multiple anthropogenic activities. Hence, stepwise regression (SR), multiple linear regression (MLR) and principal component regression (PCR) analyses were used to analyse daily average PM 10 concentration levels. The analyses were carried out using daily average PM 10 concentration, temperature, humidity, wind speed and wind direction data from 2006 to 2010. The data was from an industrial air quality monitoring station in Malaysia. The SR analysis established that meteorological parameters had less influence on PM 10 concentration levels having coefficient of determination (R 2 ) result from 23 to 29% based on seasoned and unseasoned analysis. While, the result of the prediction analysis showed that PCR models had a better R 2 result than MLR methods. The results for the analyses based on both seasoned and unseasoned data established that MLR models had R 2 result from 0.50 to 0.60. While, PCR models had R 2 result from 0.66 to 0.89. In addition, the validation analysis using 2016 data also recognised that the PCR model outperformed the MLR model, with the PCR model for the seasoned analysis having the best result. These analyses will aid in achieving sustainable air quality management strategies.
Albani, Viviana; Celis-Morales, Carlos; Marsaux, Cyril F M; Forster, Hannah; O'Donovan, Clare B; Woolhead, Clara; Macready, Anna L; Fallaize, Rosalind; Navas-Carretero, Santiago; San-Cristobal, Rodrigo; Kolossa, Silvia; Mavrogianni, Christina; Lambrinou, Christina P; Moschonis, George; Godlewska, Magdalena; Surwiłło, Agnieszka; Gundersen, Thomas E; Kaland, Siv E; Manios, Yannis; Traczyk, Iwona; Drevon, Christian A; Gibney, Eileen R; Walsh, Marianne C; Martinez, J Alfredo; Saris, Wim H M; Daniel, Hannelore; Lovegrove, Julie A; Gibney, Michael J; Adamson, Ashley J; Mathers, John C; Brennan, Lorraine
2016-04-01
The use of biomarkers in the objective assessment of dietary intake is a high priority in nutrition research. The aim of this study was to examine pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) as biomarkers of dairy foods intake. The data used in the present study were obtained as part of the Food4me Study. Estimates of C15:0 and C17:0 from dried blood spots and intakes of dairy from a Food Frequency Questionnaire were obtained from participants (n = 1180) across seven countries. Regression analyses were used to explore associations of biomarkers with dairy intake levels and receiver operating characteristic analyses were used to evaluate the fatty acids. Significant positive associations were found between C15:0 and total intakes of high-fat dairy products. C15:0 showed good ability to distinguish between low and high consumers of high-fat dairy products. C15:0 can be used as a biomarker of high-fat dairy intake and of specific high-fat dairy products. Both C15:0 and C17:0 performed poorly for total dairy intake highlighting the need for caution when using these in epidemiological studies. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Stubbs, B; Koyanagi, A; Schuch, F B; Firth, J; Rosenbaum, S; Veronese, N; Solmi, M; Mugisha, J; Vancampfort, D
2016-12-01
Physical activity (PA) is good for health, yet several small-scale studies have suggested that depression is associated with low PA. A paucity of nationally representative studies investigating this relationship exists, particularly in low- and middle-income countries (LMICs). This study explored the global association of PA with depression and its mediating factors. Participants from 36 LMICs from the World Health Survey were included. Multivariable logistic regression analyses were undertaken exploring the relationship between PA and depression. Across 178 867 people (mean ± SD age = 36.2 ± 13.5 years; 49.9% male), the prevalence of depression and the prevalence of low PA were 6.6% and 16.8% respectively. The prevalence of low PA was significantly higher among those with depression vs. no depression (26.0% vs. 15.8%, P < 0.0001). In the adjusted model, depression was associated with higher odds for low PA (OR = 1.42; 95% CI = 1.24-1.63). Mediation analyses demonstrated that low PA among people with depression was explained by mobility limitations (40.3%), pain and discomfort (35.8%), disruptions in sleep and energy (25.2%), cognition (19.4%) and vision (10.9%). Individuals with depression engage in lower levels of PA in LMICs. Future longitudinal research is warranted to better understand the relationships observed. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ye, Sheng; Li, Hongyi; Huang, Maoyi
2014-07-21
Subsurface stormflow is an important component of the rainfall–runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage–discharge relationship relating to subsurface stormflow from a top–down empirical data analysis of streamflow recession curves extracted from 50 eastern United Statesmore » catchments. Detailed regression analyses were performed between parameters of the empirical storage–discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage–discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.« less
Job stress, achievement motivation and occupational burnout among male nurses.
Hsu, Hsiu-Yueh; Chen, Sheng-Hwang; Yu, Hsing-Yi; Lou, Jiunn-Horng
2010-07-01
This paper is a report of an exploration of job stress, achievement motivation and occupational burnout in male nurses and to identify predictors of occupational burnout. Since the Nightingale era, the nursing profession has been recognized as 'women's work'. The data indicate that there are more female nurses than male nurses in Taiwan. However, the turnover rate for male nurses is twice that of female nurses. Understanding the factors that affect occupational burnout of male nurses may help researchers find ways to reduce the likelihood that they will quit. A survey was conducted in Taiwan in 2008 using a cross-sectional design. A total of 121 male nurses participated in the study. Mailed questionnaires were used to collect data, which were analysed using descriptive statistics and stepwise multiple regression. The job stress of male nurses was strongly correlated with occupational burnout (r = 0.64, P < 0.001). Stepwise multiple regression analyses indicated that job stress was the only factor to have a statistically significant direct influence on occupational burnout, accounting for 45.8% of the variance in this. Job stress was comprised of three dimensions, of which role conflict accounted for 40.8% of the variance in occupational burnout. The contribution of job stress to occupational burnout of male nurses was confirmed. As occupational burnout may influence the quality of care by these nurses, nurse managers should strive to decrease male nurses' job stress as this should lead to a reduction of negative outcomes of occupational burnout.
Characteristics of highly rated leadership in nursing homes using item response theory.
Backman, Annica; Sjögren, Karin; Lindkvist, Marie; Lövheim, Hugo; Edvardsson, David
2017-12-01
To identify characteristics of highly rated leadership in nursing homes. An ageing population entails fundamental social, economic and organizational challenges for future aged care. Knowledge is limited of both specific leadership behaviours and organizational and managerial characteristics which have an impact on the leadership of contemporary nursing home care. Cross-sectional. From 290 municipalities, 60 were randomly selected and 35 agreed to participate, providing a sample of 3605 direct-care staff employed in 169 Swedish nursing homes. The staff assessed their managers' (n = 191) leadership behaviours using the Leadership Behaviour Questionnaire. Data were collected from November 2013 - September 2014, and the study was completed in November 2016. A two-parameter item response theory approach and regression analyses were used to identify specific characteristics of highly rated leadership. Five specific behaviours of highly rated nursing home leadership were identified; that the manager: experiments with new ideas; controls work closely; relies on subordinates; coaches and gives direct feedback; and handles conflicts constructively. The regression analyses revealed that managers with social work backgrounds and privately run homes were significantly associated with higher leadership ratings. This study highlights the five most important leadership behaviours that characterize those nursing home managers rated highest in terms of leadership. Managers in privately run nursing homes and managers with social work backgrounds were associated with higher leadership ratings. Further work is needed to explore these behaviours and factors predictive of higher leadership ratings. © 2017 John Wiley & Sons Ltd.
"You've got a friend in me": can social networks mediate the relationship between mood and MCI?
Yates, Jennifer A; Clare, Linda; Woods, Robert T
2017-07-13
Social networks can change with age, for reasons that are adaptive or unwanted. Social engagement is beneficial to both mental health and cognition, and represents a potentially modifiable factor. Consequently this study explored this association and assessed whether the relationship between mild cognitive impairment (MCI) and mood problems was mediated by social networks. This study includes an analysis of data from the Cognitive Function and Ageing Study Wales (CFAS Wales). CFAS Wales Phase 1 data were collected from 2010 to 2013 by conducting structured interviews with older people aged over 65 years of age living in urban and rural areas of Wales, and included questions that assessed cognitive functioning, mood, and social networks. Regression analyses were used to investigate the associations between individual variables and the mediating role of social networks. Having richer social networks was beneficial to both mood and cognition. Participants in the MCI category had weaker social networks than participants without cognitive impairment, whereas stronger social networks were associated with a decrease in the odds of experiencing mood problems, suggesting that they may offer a protective effect against anxiety and depression. Regression analyses revealed that social networks are a significant mediator of the relationship between MCI and mood problems. These findings are important, as mood problems are a risk factor for progression from MCI to dementia, so interventions that increase and strengthen social networks may have beneficial effects on slowing the progression of cognitive decline.
Welch, Laura; Ringen, Knut; Bingham, Eula; Dement, John; Takaro, Tim; McGowan, William; Chen, Anna; Quinn, Patricia
2004-09-01
To determine whether current and former construction workers are at significant risk for occupational illnesses from work at the Department of Energy's (DOE) nuclear weapons facilities, screening programs were undertaken at the Hanford Nuclear Reservation, Oak Ridge Reservation, and the Savannah River Site. Medical examination for beryllium disease used a medical history and a beryllium blood lymphocyte proliferation test (BeLPT). Stratified and multivariate logistic regression analyses were used to explore the risk of disease by age, race, sex, trade, duration of DOE employment, reported work in buildings where beryllium was used, and time since last DOE site employment. Of the 3,842 workers included in this study, 34% reported exposure to beryllium. Overall, 2.2% of workers had at least one abnormal BeLPT test, and 1.4% were also abnormal on a second test. Regression analyses demonstrated increased risk of having at least one abnormal BeLPT to be associated with ever working in a site building where beryllium activities had taken place. The prevalence of beryllium sensitivity and chronic beryllium disease (CBD) in construction workers is described and the positive predictive value of the BeLPT in a population with less intense exposure to beryllium than other populations that have been screened is discussed. The BeLPT findings and finding of cases of CBD demonstrate that some of these workers had significant exposure, most likely, during maintenance, repair, renovation, or demolition in facilities where beryllium was used.
NASA Astrophysics Data System (ADS)
Ortega-Retuerta, E.; Fichot, C. G.; Arrigo, K. R.; Van Dijken, G. L.; Joux, F.
2014-07-01
The activity of heterotrophic bacterioplankton and their response to changes in primary production in the Arctic Ocean is essential to understand biogenic carbon flows in the area. In this study, we explored the patterns of bacterial abundance (BA) and bacterial production (BP) in waters coinciding with a massive under-ice phytoplankton bloom in the Chukchi Sea in summer 2011, where chlorophyll a (chl a) concentrations were up to 38.9 mg m-3. Contrary to our expectations, BA and BP did not show their highest values coinciding with the bloom. In fact, bacterial biomass was only 3.5% of phytoplankton biomass. Similarly, average DOC values were similar inside (average 57.2±3.1 μM) and outside (average 64.3±4.8 μM) the bloom patch. Regression analyses showed relatively weak couplings, in terms of slope values, between chl a or primary production and BA or BP. Multiple regression analyses indicated that both temperature and chl a explained BA and BP variability in the Chukchi Sea. This temperature dependence was confirmed experimentally, as higher incubation temperatures (6.6 °C vs. 2.2 °C) enhanced BA and BP, with Q10 values of BP up to 20.0. Together, these results indicate that low temperatures in conjunction with low dissolved organic matter release can preclude bacteria to efficiently process a higher proportion of carbon fixed by phytoplankton, with further consequences on the carbon cycling in the area.
Walsh, David; McCartney, Gerry; McCullough, Sarah; van der Pol, Marjon; Buchanan, Duncan; Jones, Russell
2015-09-01
Many theories have been proposed to explain the high levels of 'excess' mortality (i.e. higher mortality over and above that explained by differences in socio-economic circumstances) shown in Scotland-and, especially, in its largest city, Glasgow-compared with elsewhere in the UK. One such proposal relates to differences in optimism, given previously reported evidence of the health benefits of an optimistic outlook. A representative survey of Glasgow, Liverpool and Manchester was undertaken in 2011. Optimism was measured by the Life Orientation Test (Revised) (LOT-R), and compared between the cities by means of multiple linear regression models, adjusting for any differences in sample characteristics. Unadjusted analyses showed LOT-R scores to be similar in Glasgow and Liverpool (mean score (SD): 14.7 (4.0) for both), but lower in Manchester (13.9 (3.8)). This was consistent in analyses by age, gender and social class. Multiple regression confirmed the city results: compared with Glasgow, optimism was either similar (Liverpool: adjusted difference in mean score: -0.16 (95% CI -0.45 to 0.13)) or lower (Manchester: -0.85 (-1.14 to -0.56)). The reasons for high levels of Scottish 'excess' mortality remain unclear. However, differences in psychological outlook such as optimism appear to be an unlikely explanation. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Sex segregation in undergraduate engineering majors
NASA Astrophysics Data System (ADS)
Litzler, Elizabeth
Gender inequality in engineering persists in spite of women reaching parity in college enrollments and degrees granted. To date, no analyses of educational sex segregation have comprehensively examined segregation within one discipline. To move beyond traditional methods of studying the long-standing stratification by field of study in higher education, I explore gender stratification within one field: engineering. This dissertation investigates why some engineering disciplines have a greater representation of women than other engineering disciplines. I assess the individual and institutional factors and conditions associated with women's representation in certain engineering departments and compare the mechanisms affecting women's and men's choice of majors. I use national data from the Engineering Workforce Commission, survey data from 21 schools in the Project to Assess Climate in Engineering study, and Carnegie Foundation classification information to study sex segregation in engineering majors from multiple perspectives: the individual, major, institution, and country. I utilize correlations, t-tests, cross-tabulations, log-linear modeling, multilevel logistic regression and weighted least squares regression to test the relative utility of alternative explanations for women's disproportionate representation across engineering majors. As a whole, the analyses illustrate the importance of context and environment for women's representation in engineering majors. Hypotheses regarding hostile climate and discrimination find wide support across different analyses, suggesting that women's under-representation in certain engineering majors is not a question of choice or ability. However, individual level factors such as having engineering coursework prior to college show an especially strong association with student choice of major. Overall, the analyses indicate that institutions matter, albeit less for women, and women's under-representation in engineering is not reducible to individual choice. This dissertation provides a broad, descriptive view of the state of sex segregation in engineering as well as a careful analysis of how individual and institutional factors inhibit or encourage sex segregation. This study contributes to the research literature through the use of novel data, testing of occupational segregation theories, and the use of multiple levels of analysis. The analyses provide new insight into an enduring phenomenon, and suggest new avenues for understanding sex segregation in higher education.
Cheng, Jian; Xu, Zhiwei; Bambrick, Hilary; Su, Hong; Tong, Shilu; Hu, Wenbiao
2017-12-01
Unstable weather, such as intra- and inter-day temperature variability, can impair the health and shorten the survival time of population around the world. Climate change will cause Earth's surface temperature rise, but has unclear effects on temperature variability, making it urgent to understand the characteristics of the burden of temperature variability on mortality, regionally and nationally. This paper aims to quantify the mortality risk of exposure to short-term temperature variability, estimate the resulting death toll and explore how the strength of temperature variability effects will vary as a function of city-level characteristics. Ten-year (2000-2009) time-series data on temperature and mortality were collected for five largest Australia's cities (Sydney, Melbourne, Brisbane, Perth and Adelaide), collectively registering 708,751 deaths in different climates. Short-term temperature variability was captured and represented as the hourly temperature standard deviation within two days. Three-stage analyses were used to assess the burden of temperature variability on mortality. First, we modelled temperature variability-mortality relation and estimated the relative risk of death for each city, using a time-series quasi-Poisson regression model. Second, we used meta-analysis to pool the city-specific estimates, and meta-regression to explore if some city-level factors will modify the population vulnerability to temperature variability. Finally, we calculated the city-specific deaths attributable to temperature variability, and applied such estimates to the whole of Australia as a reflection of the nation-wide death burden associated with temperature variability. We found evidence of significant associations between temperature variability and mortality in all cities assessed. Deaths associated with each 1°C rise in temperature variability elevated by 0.28% (95% confidence interval (CI): 0.05%, 0.52%) in Melbourne to 1.00% (95%CI: 0.52%, 1.48%) in Brisbane, with a pooled estimate of 0.51% (95%CI: 0.33%, 0.69%) for Australia. Subtropical and temperate regions showed no apparent difference in temperature variability impacts. Meta-regression analyses indicated that the mortality risk could be influenced by city-specific factors: latitude, mean temperature, population density and the prevalence of several chronic diseases. Taking account of contributions from the entire time-series, temperature variability was estimated to account for 0.99% to 3.24% of deaths across cities, with a nation-wide attributable fraction of 1.67% (9.59 deaths per 100, 000 population per year). Hourly temperature variability may be an important risk factor of weather-related deaths and led to a sizeable mortality burden. This study underscores the need for developing specific and effective interventions in Australia to lessen the health consequences of temperature variability. Copyright © 2017. Published by Elsevier Ltd.
Lawlor, Caroline; Sharma, Bina; Khondoker, Mizanur; Peters, Emmanuelle; Kuipers, Elizabeth; Johns, Louise
2017-03-01
Few studies have investigated service user satisfaction with cognitive behavioural therapy for psychosis (CBTp). This study explored its associations with clinical presentation and outcomes, retrospective expectations of progress, perceptions of the therapist, and demographic variables. One hundred and sixty-five service users completed self-report questionnaires pre- and post-CBTp in relation to the constructs of interest. Regression analyses explored associations with (1) overall satisfaction with therapy and (2) perceived progress, skills, and knowledge gained. Ninety-six per cent of service users reported satisfaction with therapy. Higher levels of overall satisfaction with, and perceived benefit from, therapy were associated with positive therapy expectations, positive ratings of therapist's personal qualities, competence and trustworthiness, lower pre-therapy depression, and improvements in quality of life. Symptom improvements were not related to overall satisfaction with therapy; however, with the exception of voices, better clinical outcomes were associated with subjective ratings of having made more progress and gained more CBT skills and knowledge. Demographic factors were not associated with satisfaction or perceived progress. In multiple regression analyses, expectations of progress showed the strongest associations with both satisfaction and perceived benefits. Other remaining significant associations consisted of perceptions of the therapist for satisfaction, and both pre-therapy levels of, and changes in, depression for perceived benefits. Qualitative feedback emphasized the importance of the therapeutic relationship and developing new coping strategies. The findings provide preliminary evidence that high levels of satisfaction with therapy are not contingent on good clinical outcomes and are instead associated with positive therapy expectations and perceptions of the therapist. Therapy expectations represent a neglected area of research and may have implications for levels of satisfaction with therapy and perceived benefit. The findings reinforce the importance of cognitive behavioural therapy for psychosis (CBTp) therapists demonstrating that they are supportive, competent, and trustworthy. The findings suggest that positive experiences of therapy do not require changes in psychosis symptoms and are instead related to changes in quality of life. Depressive symptoms at the start of therapy may adversely influence the extent to which CBT skills and knowledge are gained and levels of perceived progress at the end of therapy. The present sample was restricted to service users who completed therapy. Satisfaction levels were high. Further research is needed to explore factors associated with dissatisfaction with therapy. © 2016 The British Psychological Society.
Kanamori, Shogo; Castro, Marcia C.; Sow, Seydou; Matsuno, Rui; Cissokho, Alioune; Jimba, Masamine
2016-01-01
Background The 5S method is a lean management tool for workplace organization, with 5S being an abbreviation for five Japanese words that translate to English as Sort, Set in Order, Shine, Standardize, and Sustain. In Senegal, the 5S intervention program was implemented in 10 health centers in two regions between 2011 and 2014. Objective To identify the impact of the 5S intervention program on the satisfaction of clients (patients and caretakers) who visited the health centers. Design A standardized 5S intervention protocol was implemented in the health centers using a quasi-experimental separate pre-post samples design (four intervention and three control health facilities). A questionnaire with 10 five-point Likert items was used to measure client satisfaction. Linear regression analysis was conducted to identify the intervention's effect on the client satisfaction scores, represented by an equally weighted average of the 10 Likert items (Cronbach's alpha=0.83). Additional regression analyses were conducted to identify the intervention's effect on the scores of each Likert item. Results Backward stepwise linear regression (n=1,928) indicated a statistically significant effect of the 5S intervention, represented by an increase of 0.19 points in the client satisfaction scores in the intervention group, 6 to 8 months after the intervention (p=0.014). Additional regression analyses showed significant score increases of 0.44 (p=0.002), 0.14 (p=0.002), 0.06 (p=0.019), and 0.17 (p=0.044) points on four items, which, respectively were healthcare staff members’ communication, explanations about illnesses or cases, and consultation duration, and clients’ overall satisfaction. Conclusions The 5S has the potential to improve client satisfaction at resource-poor health facilities and could therefore be recommended as a strategic option for improving the quality of healthcare service in low- and middle-income countries. To explore more effective intervention modalities, further studies need to address the mechanisms by which 5S leads to attitude changes in healthcare staff. PMID:27900932
Geochemical Exploration Techniques Applicable in the Search for Copper Deposits
Chaffee, Maurice A.
1975-01-01
Geochemical exploration is an important part of copper-resource evaluation. A large number of geochemical exploration techniques, both proved and untried, are available to the geochemist to use in the search for new copper deposits. Analyses of whole-rock samples have been used in both regional and local geochemical exploration surveys in the search for copper. Analyses of mineral separates, such as biotite, magnetite, and sulfides, have also been used. Analyses of soil samples are widely used in geochemical exploration, especially for localized surveys. It is important to distinguish between residual and transported soil types. Orientation studies should always be conducted prior to a geochemical investigation in a given area in order to determine the best soil horizon and the best size of soil material for sampling in that area. Silty frost boils, caliche, and desert varnish are specialized types of soil samples that might be useful sampling media. Soil gas is a new and potentially valuable geochemical sampling medium, especially in exploring for buried mineral deposits in arid regions. Gaseous products in samples of soil may be related to base-metal deposits and include mercury vapor, sulfur dioxide, hydrogen sulfide, carbon oxysulfide, carbon dioxide, hydrogen, oxygen, nitrogen, the noble gases, the halogens, and many hydrocarbon compounds. Transported materials that have been used in geochemical sampling programs include glacial float boulders, glacial till, esker gravels, stream sediments, stream-sediment concentrates, and lake sediments. Stream-sediment sampling is probably the most widely used and most successful geochemical exploration technique. Hydrogeochemical exploration programs have utilized hot- and cold-spring waters and their precipitates as well as waters from lakes, streams, and wells. Organic gel found in lakes and at stream mouths is an unproved sampling medium. Suspended material and dissolved gases in any type of water may also be useful media. Samples of ice and snow have been used for limited geochemical surveys. Both geobotanical and biogeochemical surveys have been successful in locating copper deposits in many parts of the world. Micro-organisms, including bacteria and algae, are other unproved media that should be studied. Animals can be used in geochemical-prospecting programs. Dogs have been used quite successfully to sniff out hidden and exposed sulfide minerals. Tennite mounds are commonly composed of subsurface material, but have not as yet proved to be useful in locating buried mineral deposits. Animal tissue and waste products are essentially unproved but potentially valuable sampling media. Knowledge of the location of areas where trace-element-associated diseases in animals and man are endemic as well as a better understanding of these diseases, may aid in identifying regions that are enriched in or depleted of various elements, including copper. Results of analyses of gases in the atmosphere are proving valuable in mineral-exploration surveys. Studies involving metallic compounds exhaled by plants into the atmosphere, and of particulate matter suspended in the atmosphere are reviewed these methods may become important in the future. Remote-sensing techniques are useful for making indirect measurements of geochemical responses. Two techniques applicable to geochemical exploration are neutron-activation analysis and gamma-ray spectrometry. Aerial photography is especially useful in vegetation surveys. Radar imagery is an unproved but potentially valuable method for use in studies of vegetation in perpetually clouded regions. With the advent of modern computers, many new techniques, such as correlation analysis, regression analysis, discriminant analysis, factor analysis, cluster analysis, trend-surface analysis, and moving-average analysis can be applied to geochemical data sets. Selective use of these techniques can provide new insights into the interpretatio
The purpose of this report is to provide a reference manual that could be used by investigators for making informed use of logistic regression using two methods (standard logistic regression and MARS). The details for analyses of relationships between a dependent binary response ...
A Simulation Investigation of Principal Component Regression.
ERIC Educational Resources Information Center
Allen, David E.
Regression analysis is one of the more common analytic tools used by researchers. However, multicollinearity between the predictor variables can cause problems in using the results of regression analyses. Problems associated with multicollinearity include entanglement of relative influences of variables due to reduced precision of estimation,…
Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males.
Akinsal, Emre Can; Haznedar, Bulent; Baydilli, Numan; Kalinli, Adem; Ozturk, Ahmet; Ekmekçioğlu, Oğuz
2018-02-04
To evaluate whether an artifical neural network helps to diagnose any chromosomal abnormalities in azoospermic males. The data of azoospermic males attending to a tertiary academic referral center were evaluated retrospectively. Height, total testicular volume, follicle stimulating hormone, luteinising hormone, total testosterone and ejaculate volume of the patients were used for the analyses. In artificial neural network, the data of 310 azoospermics were used as the education and 115 as the test set. Logistic regression analyses and discriminant analyses were performed for statistical analyses. The tests were re-analysed with a neural network. Both logistic regression analyses and artificial neural network predicted the presence or absence of chromosomal abnormalities with more than 95% accuracy. The use of artificial neural network model has yielded satisfactory results in terms of distinguishing patients whether they have any chromosomal abnormality or not.
Mainou, Maria; Madenidou, Anastasia-Vasiliki; Liakos, Aris; Paschos, Paschalis; Karagiannis, Thomas; Bekiari, Eleni; Vlachaki, Efthymia; Wang, Zhen; Murad, Mohammad Hassan; Kumar, Shaji; Tsapas, Apostolos
2017-06-01
We performed a systematic review and meta-regression analysis of randomized control trials to investigate the association between response to initial treatment and survival outcomes in patients with newly diagnosed multiple myeloma (MM). Response outcomes included complete response (CR) and the combined outcome of CR or very good partial response (VGPR), while survival outcomes were overall survival (OS) and progression-free survival (PFS). We used random-effect meta-regression models and conducted sensitivity analyses based on definition of CR and study quality. Seventy-two trials were included in the systematic review, 63 of which contributed data in meta-regression analyses. There was no association between OS and CR in patients without autologous stem cell transplant (ASCT) (regression coefficient: .02, 95% confidence interval [CI] -0.06, 0.10), in patients undergoing ASCT (-.11, 95% CI -0.44, 0.22) and in trials comparing ASCT with non-ASCT patients (.04, 95% CI -0.29, 0.38). Similarly, OS did not correlate with the combined metric of CR or VGPR, and no association was evident between response outcomes and PFS. Sensitivity analyses yielded similar results. This meta-regression analysis suggests that there is no association between conventional response outcomes and survival in patients with newly diagnosed MM. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Lindholdt, Louise; Labriola, Merete; Nielsen, Claus Vinther; Horsbøl, Trine Allerslev; Lund, Thomas
2017-01-01
Introduction The return-to-work (RTW) process after long-term sickness absence is often complex and long and implies multiple shifts between different labour market states for the absentee. Standard methods for examining RTW research typically rely on the analysis of one outcome measure at a time, which will not capture the many possible states and transitions the absentee can go through. The purpose of this study was to explore the potential added value of sequence analysis in supplement to standard regression analysis of a multidisciplinary RTW intervention among patients with low back pain (LBP). Methods The study population consisted of 160 patients randomly allocated to either a hospital-based brief or a multidisciplinary intervention. Data on labour market participation following intervention were obtained from a national register and analysed in two ways: as a binary outcome expressed as active or passive relief at a 1-year follow-up and as four different categories for labour market participation. Logistic regression and sequence analysis were performed. Results The logistic regression analysis showed no difference in labour market participation for patients in the two groups after 1 year. Applying sequence analysis showed differences in subsequent labour market participation after 2 years after baseline in favour of the brief intervention group versus the multidisciplinary intervention group. Conclusion The study indicated that sequence analysis could provide added analytical value as a supplement to traditional regression analysis in prospective studies of RTW among patients with LBP. PMID:28729315
Oliveira, André; Cabral, António J R; Mendes, Jorge M; Martins, Maria R O; Cabral, Pedro
2015-11-04
Stroke risk has been shown to display varying patterns of geographic distribution amongst countries but also between regions of the same country. Traditionally a disease of older persons, a global 25% increase in incidence instead was noticed between 1990 and 2010 in persons aged 20-≤64 years, particularly in low- and medium-income countries. Understanding spatial disparities in the association between socioeconomic factors and stroke is critical to target public health initiatives aiming to mitigate or prevent this disease, including in younger persons. We aimed to identify socioeconomic determinants of geographic disparities of stroke risk in people <65 years old, in municipalities of mainland Portugal, and the spatiotemporal variation of the association between these determinants and stroke risk during two study periods (1992-1996 and 2002-2006). Poisson and negative binomial global regression models were used to explore determinants of disease risk. Geographically weighted regression (GWR) represents a distinctive approach, allowing estimation of local regression coefficients. Models for both study periods were identified. Significant variables included education attainment, work hours per week and unemployment. Local Poisson GWR models achieved the best fit and evidenced spatially varying regression coefficients. Spatiotemporal inequalities were observed in significant variables, with dissimilarities between men and women. This study contributes to a better understanding of the relationship between stroke and socioeconomic factors in the population <65 years of age, one age group seldom analysed separately. It can thus help to improve the targeting of public health initiatives, even more in a context of economic crisis.
Predicting Word Reading Ability: A Quantile Regression Study
ERIC Educational Resources Information Center
McIlraith, Autumn L.
2018-01-01
Predictors of early word reading are well established. However, it is unclear if these predictors hold for readers across a range of word reading abilities. This study used quantile regression to investigate predictive relationships at different points in the distribution of word reading. Quantile regression analyses used preschool and…
Use of Longitudinal Regression in Quality Control. Research Report. ETS RR-14-31
ERIC Educational Resources Information Center
Lu, Ying; Yen, Wendy M.
2014-01-01
This article explores the use of longitudinal regression as a tool for identifying scoring inaccuracies. Student progression patterns, as evaluated through longitudinal regressions, typically are more stable from year to year than are scale score distributions and statistics, which require representative samples to conduct credibility checks.…
Fretheim, Atle; Zhang, Fang; Ross-Degnan, Dennis; Oxman, Andrew D; Cheyne, Helen; Foy, Robbie; Goodacre, Steve; Herrin, Jeph; Kerse, Ngaire; McKinlay, R James; Wright, Adam; Soumerai, Stephen B
2015-03-01
There is often substantial uncertainty about the impacts of health system and policy interventions. Despite that, randomized controlled trials (RCTs) are uncommon in this field, partly because experiments can be difficult to carry out. An alternative method for impact evaluation is the interrupted time-series (ITS) design. Little is known, however, about how results from the two methods compare. Our aim was to explore whether ITS studies yield results that differ from those of randomized trials. We conducted single-arm ITS analyses (segmented regression) based on data from the intervention arm of cluster randomized trials (C-RCTs), that is, discarding control arm data. Secondarily, we included the control group data in the analyses, by subtracting control group data points from intervention group data points, thereby constructing a time series representing the difference between the intervention and control groups. We compared the results from the single-arm and controlled ITS analyses with results based on conventional aggregated analyses of trial data. The findings were largely concordant, yielding effect estimates with overlapping 95% confidence intervals (CI) across different analytical methods. However, our analyses revealed the importance of a concurrent control group and of taking baseline and follow-up trends into account in the analysis of C-RCTs. The ITS design is valuable for evaluation of health systems interventions, both when RCTs are not feasible and in the analysis and interpretation of data from C-RCTs. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.
A method for fitting regression splines with varying polynomial order in the linear mixed model.
Edwards, Lloyd J; Stewart, Paul W; MacDougall, James E; Helms, Ronald W
2006-02-15
The linear mixed model has become a widely used tool for longitudinal analysis of continuous variables. The use of regression splines in these models offers the analyst additional flexibility in the formulation of descriptive analyses, exploratory analyses and hypothesis-driven confirmatory analyses. We propose a method for fitting piecewise polynomial regression splines with varying polynomial order in the fixed effects and/or random effects of the linear mixed model. The polynomial segments are explicitly constrained by side conditions for continuity and some smoothness at the points where they join. By using a reparameterization of this explicitly constrained linear mixed model, an implicitly constrained linear mixed model is constructed that simplifies implementation of fixed-knot regression splines. The proposed approach is relatively simple, handles splines in one variable or multiple variables, and can be easily programmed using existing commercial software such as SAS or S-plus. The method is illustrated using two examples: an analysis of longitudinal viral load data from a study of subjects with acute HIV-1 infection and an analysis of 24-hour ambulatory blood pressure profiles.
Droste, Nicolas; Peacock, Amy; Bruno, Raimondo; Pennay, Amy; Zinkiewicz, Lucy; Lubman, Dan I; Miller, Peter
2017-08-01
Negative physiological stimulation and sedation side effects are experienced by a significant proportion of consumers who consume alcohol mixed with energy drinks (AmED). Few studies have compared the frequency of side effects between sessions of AmED and sessions of alcohol only within-subject, and none have explored a dose relationship. Explore the occurrence of self-reported physiological stimulant and sedative side effects between sessions of AmED and alcohol only, and at varying ED dosage levels within AmED sessions. A convenience sample of 2953 residents of New South Wales, Australia completed an online survey. N=731 AmED users reported daily caffeine intake, typical alcohol and AmED consumption, and past 12-month experience of physiological stimulation and sedation side effects during AmED and alcohol only sessions. Within-subject analyses compared occurrence of side effects between session types. Hierarchical binary logistic regression analyses explored the association of ED dose during AmED sessions with the experience of physiological side effects. There were greater odds of most stimulant side effects, and lower odds of sedation side effects, during AmED sessions compared to alcohol only sessions. Compared to one ED, consumption of three or more EDs was significantly associated with the majority of both stimulant and alcohol intoxication side effects after controlling for demographics and consumption covariates. AmED is associated with perceived changes in physiological stimulant and sedation side effects of alcohol. Experience of side effects is positively associated with ED dosage. Future research should account for varying ED dosage, and reflect real world consumption levels. Copyright © 2017 Elsevier Ltd. All rights reserved.
Spatiotemporal Dynamics of Scrub Typhus Transmission in Mainland China, 2006-2014
Hu, Wen-Biao; Haque, Ubydul; Weppelmann, Thomas A.; Wang, Yong; Liu, Yun-Xi; Li, Xin-Lou; Sun, Hai-Long; Sun, Yan-Song; Clements, Archie C. A.; Li, Shen-Long; Zhang, Wen-Yi
2016-01-01
Background Scrub typhus is endemic in the Asia-Pacific region including China, and the number of reported cases has increased dramatically in the past decade. However, the spatial-temporal dynamics and the potential risk factors in transmission of scrub typhus in mainland China have yet to be characterized. Objective This study aims to explore the spatiotemporal dynamics of reported scrub typhus cases in mainland China between January 2006 and December 2014, to detect the location of high risk spatiotemporal clusters of scrub typhus cases, and identify the potential risk factors affecting the re-emergence of the disease. Method Monthly cases of scrub typhus reported at the county level between 2006 and 2014 were obtained from the Chinese Center for Diseases Control and Prevention. Time-series analyses, spatiotemporal cluster analyses, and spatial scan statistics were used to explore the characteristics of the scrub typhus incidence. To explore the association between scrub typhus incidence and environmental variables panel Poisson regression analysis was conducted. Results During the time period between 2006 and 2014 a total of 54,558 scrub typhus cases were reported in mainland China, which grew exponentially. The majority of cases were reported each year between July and November, with peak incidence during October every year. The spatiotemporal dynamics of scrub typhus varied over the study period with high-risk clusters identified in southwest, southern, and middle-eastern part of China. Scrub typhus incidence was positively correlated with the percentage of shrub and meteorological variables including temperature and precipitation. Conclusions The results of this study demonstrate areas in China that could be targeted with public health interventions to mitigate the growing threat of scrub typhus in the country. PMID:27479297
Spatiotemporal Dynamics of Scrub Typhus Transmission in Mainland China, 2006-2014.
Wu, Yi-Cheng; Qian, Quan; Soares Magalhaes, Ricardo J; Han, Zhi-Hai; Hu, Wen-Biao; Haque, Ubydul; Weppelmann, Thomas A; Wang, Yong; Liu, Yun-Xi; Li, Xin-Lou; Sun, Hai-Long; Sun, Yan-Song; Clements, Archie C A; Li, Shen-Long; Zhang, Wen-Yi
2016-08-01
Scrub typhus is endemic in the Asia-Pacific region including China, and the number of reported cases has increased dramatically in the past decade. However, the spatial-temporal dynamics and the potential risk factors in transmission of scrub typhus in mainland China have yet to be characterized. This study aims to explore the spatiotemporal dynamics of reported scrub typhus cases in mainland China between January 2006 and December 2014, to detect the location of high risk spatiotemporal clusters of scrub typhus cases, and identify the potential risk factors affecting the re-emergence of the disease. Monthly cases of scrub typhus reported at the county level between 2006 and 2014 were obtained from the Chinese Center for Diseases Control and Prevention. Time-series analyses, spatiotemporal cluster analyses, and spatial scan statistics were used to explore the characteristics of the scrub typhus incidence. To explore the association between scrub typhus incidence and environmental variables panel Poisson regression analysis was conducted. During the time period between 2006 and 2014 a total of 54,558 scrub typhus cases were reported in mainland China, which grew exponentially. The majority of cases were reported each year between July and November, with peak incidence during October every year. The spatiotemporal dynamics of scrub typhus varied over the study period with high-risk clusters identified in southwest, southern, and middle-eastern part of China. Scrub typhus incidence was positively correlated with the percentage of shrub and meteorological variables including temperature and precipitation. The results of this study demonstrate areas in China that could be targeted with public health interventions to mitigate the growing threat of scrub typhus in the country.
Henoch, Ingela; Browall, Maria; Melin-Johansson, Christina; Danielson, Ella; Udo, Camilla; Johansson Sundler, Annelie; Björk, Maria; Ek, Kristina; Hammarlund, Kina; Bergh, Ingrid; Strang, Susann
2014-01-01
Nurses' attitudes toward caring for dying persons need to be explored. The Frommelt Attitude Toward Care of the Dying (FATCOD) scale has not previously been used in Swedish language. The objectives of this study were to compare FATCOD scores among Swedish nurses and nursing students with those from other languages, to explore the existence of 2 subscales, and to evaluate influences of experiences on attitudes toward care of dying patients. A descriptive, cross-sectional, and predictive design was used. The FATCOD scores of Swedish nurses from hospice, oncology, surgery clinics, and palliative home care and nursing students were compared with published scores from the United States, Israel, and Japan. Descriptive statistics, t tests, and factor and regression analyses were used. The sample consisted of 213 persons: 71 registered nurses, 42 enrolled nurses, and 100 nursing students. Swedish FATCOD mean scores did not differ from published means from the United States and Israel, but were significantly more positive than Japanese means. In line with Japanese studies, factor analyses yielded a 2-factor solution. Total FATCOD and subscales had low Cronbach α's. Hospice and palliative team nurses were more positive than oncology and surgery nurses to care for dying patients. Although our results suggest that the Swedish FATCOD may comprise 2 distinct scales, the total scale may be the most adequate and applicable for use in Sweden. Professional experience was associated with nurses' attitudes toward caring for dying patients. Care culture might influence nurses' attitudes toward caring for dying patients; the benefits of education need to be explored.
Ren, Meng; Li, Na; Wang, Zhan; Liu, Yisi; Chen, Xi; Chu, Yuanyuan; Li, Xiangyu; Zhu, Zhongmin; Tian, Liqiao; Xiang, Hao
2017-01-01
Few studies have compared different methods when exploring the short-term effects of air pollutants on respiratory disease mortality in Wuhan, China. This study assesses the association between air pollutants and respiratory disease mortality with both time-series and time-stratified–case-crossover designs. The generalized additive model (GAM) and the conditional logistic regression model were used to assess the short-term effects of air pollutants on respiratory disease mortality. Stratified analyses were performed by age, sex, and diseases. A 10 μg/m3 increment in SO2 level was associated with an increase in relative risk for all respiratory disease mortality of 2.4% and 1.9% in the case-crossover and time-series analyses in single pollutant models, respectively. Strong evidence of an association between NO2 and daily respiratory disease mortality among men or people older than 65 years was found in the case-crossover study. There was a positive association between air pollutants and respiratory disease mortality in Wuhan, China. Both time-series and case-crossover analyses consistently reveal the association between three air pollutants and respiratory disease mortality. The estimates of association between air pollution and respiratory disease mortality from the case–crossover analysis displayed greater variation than that from the time-series analysis. PMID:28084399
Ren, Meng; Li, Na; Wang, Zhan; Liu, Yisi; Chen, Xi; Chu, Yuanyuan; Li, Xiangyu; Zhu, Zhongmin; Tian, Liqiao; Xiang, Hao
2017-01-13
Few studies have compared different methods when exploring the short-term effects of air pollutants on respiratory disease mortality in Wuhan, China. This study assesses the association between air pollutants and respiratory disease mortality with both time-series and time-stratified-case-crossover designs. The generalized additive model (GAM) and the conditional logistic regression model were used to assess the short-term effects of air pollutants on respiratory disease mortality. Stratified analyses were performed by age, sex, and diseases. A 10 μg/m 3 increment in SO 2 level was associated with an increase in relative risk for all respiratory disease mortality of 2.4% and 1.9% in the case-crossover and time-series analyses in single pollutant models, respectively. Strong evidence of an association between NO 2 and daily respiratory disease mortality among men or people older than 65 years was found in the case-crossover study. There was a positive association between air pollutants and respiratory disease mortality in Wuhan, China. Both time-series and case-crossover analyses consistently reveal the association between three air pollutants and respiratory disease mortality. The estimates of association between air pollution and respiratory disease mortality from the case-crossover analysis displayed greater variation than that from the time-series analysis.
Pilkington, Emma; Keidel, James; Kendrick, Luke T.; Saddy, James D.; Sage, Karen; Robson, Holly
2017-01-01
This study examined patterns of neologistic and perseverative errors during word repetition in fluent Jargon aphasia. The principal hypotheses accounting for Jargon production indicate that poor activation of a target stimulus leads to weakly activated target phoneme segments, which are outcompeted at the phonological encoding level. Voxel-lesion symptom mapping studies of word repetition errors suggest a breakdown in the translation from auditory-phonological analysis to motor activation. Behavioral analyses of repetition data were used to analyse the target relatedness (Phonological Overlap Index: POI) of neologistic errors and patterns of perseveration in 25 individuals with Jargon aphasia. Lesion-symptom analyses explored the relationship between neurological damage and jargon repetition in a group of 38 aphasia participants. Behavioral results showed that neologisms produced by 23 jargon individuals contained greater degrees of target lexico-phonological information than predicted by chance and that neologistic and perseverative production were closely associated. A significant relationship between jargon production and lesions to temporoparietal regions was identified. Region of interest regression analyses suggested that damage to the posterior superior temporal gyrus and superior temporal sulcus in combination was best predictive of a Jargon aphasia profile. Taken together, these results suggest that poor phonological encoding, secondary to impairment in sensory-motor integration, alongside impairments in self-monitoring result in jargon repetition. Insights for clinical management and future directions are discussed. PMID:28522967
Psychosocial work factors and sleep problems: findings from the French national SIP survey.
Chazelle, Emilie; Chastang, Jean-François; Niedhammer, Isabelle
2016-04-01
This study aimed at exploring the cross-sectional and prospective associations between psychosocial work factors and sleep problems. The study population consisted of a national representative sample of the French working population (SIP survey). The sample sizes were 7506 and 3555 for the cross-sectional and prospective analyses. Sleep problems were defined by either sleep disturbances or insufficient sleep duration at least several times a week. Psychosocial work factors included classical (job strain model factors) and emergent factors (recognition, insecurity, role/ethical conflict, emotional demands, work-life imbalance, etc.). Occupational factors related to working time/hours and physical work environment were also included as well as covariates related to factors outside work. Statistical analyses were performed using weighted Poisson regression analysis. In the cross-sectional analyses, psychological demands, low social support, low recognition, emotional demands, perception of danger, work-life imbalance and night work were found to be associated with sleep problems. In the prospective analyses, psychological demands and night work were predictive of sleep problems. Using a less conservative method, more factors were found to be associated with sleep problems. Dose-response associations were observed, showing that the more frequent the exposure to these factors, the higher the risk of sleep problems. No effect of repeated exposure was found on sleep problems. Classical and emergent psychosocial work factors were associated with sleep problems. More prospective studies and prevention policies may be needed.
The teamwork in assertive community treatment (TACT) scale: development and validation.
Wholey, Douglas R; Zhu, Xi; Knoke, David; Shah, Pri; Zellmer-Bruhn, Mary; Witheridge, Thomas F
2012-11-01
Team design is meticulously specified for assertive community treatment (ACT) teams, yet performance can vary across ACT teams, even those with high fidelity. By developing and validating the Teamwork in Assertive Community Treatment (TACT) scale, investigators examined the role of team processes in ACT performance. The TACT scale measuring ACT teamwork was developed from a conceptual model grounded in organizational research and adapted for the ACT and mental health context. TACT subscales were constructed after exploratory and confirmatory factor analyses. The reliability, discriminant validity, predictive validity, temporal stability, internal consistency, and within-team agreement were established with surveys from approximately 300 members of 26 Minnesota ACT teams who completed the questionnaire three times, at six-month intervals. Nine TACT subscales emerged from the analyses: exploration, exploitation of new and existing knowledge, psychological safety, goal agreement, conflict, constructive controversy, information accessibility, encounter preparedness, and consumer-centered care. These nine subscales demonstrated fit and temporal stability (confirmatory factor analysis), high internal consistency (Cronbach's alpha), and within-team agreement and between-team differences (rwg and intraclass correlations). Correlational analyses of the subscales revealed that they measure related yet distinctive aspects of ACT team processes, and regression analyses demonstrated predictive validity (encounter preparedness is related to staff outcomes). The TACT scale demonstrated high reliability and validity and can be included in research and evaluation of teamwork in ACT and mental health teams.
NASA Astrophysics Data System (ADS)
Ren, Meng; Li, Na; Wang, Zhan; Liu, Yisi; Chen, Xi; Chu, Yuanyuan; Li, Xiangyu; Zhu, Zhongmin; Tian, Liqiao; Xiang, Hao
2017-01-01
Few studies have compared different methods when exploring the short-term effects of air pollutants on respiratory disease mortality in Wuhan, China. This study assesses the association between air pollutants and respiratory disease mortality with both time-series and time-stratified-case-crossover designs. The generalized additive model (GAM) and the conditional logistic regression model were used to assess the short-term effects of air pollutants on respiratory disease mortality. Stratified analyses were performed by age, sex, and diseases. A 10 μg/m3 increment in SO2 level was associated with an increase in relative risk for all respiratory disease mortality of 2.4% and 1.9% in the case-crossover and time-series analyses in single pollutant models, respectively. Strong evidence of an association between NO2 and daily respiratory disease mortality among men or people older than 65 years was found in the case-crossover study. There was a positive association between air pollutants and respiratory disease mortality in Wuhan, China. Both time-series and case-crossover analyses consistently reveal the association between three air pollutants and respiratory disease mortality. The estimates of association between air pollution and respiratory disease mortality from the case-crossover analysis displayed greater variation than that from the time-series analysis.
Nelissen, Sara; Beullens, Kathleen; Lemal, Marijke; Van den Bulck, Jan
2015-03-01
Few studies have explored the impact of mass media on fear of cancer levels. This study investigates whether television and Internet use are associated with fear of cancer, and whether this association is different for cancer diagnosed and nondiagnosed individuals. A quantitative, standardized survey was used and administered to 2008 respondents in Flanders (Belgium), of which 621 individuals were diagnosed with cancer. For statistical analyses, hierarchical regression analyses, independent samples T-tests and post hoc mediation analyses were conducted. The results indicated that cancer diagnosed individuals differed from nondiagnosed individuals in terms of perceived cancer susceptibility, perceived cancer severity, fear of cancer, and media use. Furthermore, television exposure was directly and positively related to fear of cancer, whereas Internet use was not. The relationship between television and Internet use and fear of cancer was not different for cancer diagnosed and nondiagnosed individuals. Additional post hoc mediation analyses, however, seemed to suggest that watching more television and surfing more on the Internet could both lead to having a more negative perceived health and this was in turn associated with higher fear of cancer. To help reduce the burden of fear of cancer, cancer educators and individuals working with cancer patients need to be aware of the possible negative effects media use might have on health perception and on the levels of fear of cancer.
What Would I Know About Mercy? Faith and Optimistic Expectancies Among African Americans
Mattis, Jacqueline S.; Powell, Wizdom; Grayman, Nyasha A.; Murray, Yohance; Cole-Lewis, Yasmin C.; Goodwill, Janelle R.
2017-01-01
A small body of research has begun to explore the association between faith and optimism among African Americans. However, missing from the extant work is an examination of the extent to which traditional indices of religious commitment work together with beliefs about God to shape optimism. The present study examines the utility of indices of social location, religious commitment (i.e., early and current religious service attendance, subjective religiosity), belief about the quality of one’s relationship with God (i.e., a belief that one is connected to a loving God), and beliefs about being the recipient of divine forgiveness for predicting dispositional optimism among a sample of community residing African American adults (N = 241). Age, subjective religiosity, and organizational religiosity were positively related to optimism in bivariate analyses. Hierarchical regression analyses demonstrated a significant association between age, subjective religiosity, and optimism; however, those associations were eliminated once relationship with God and belief in one’s forgiveness by God were entered into the model. Only belief in God’s love predicted optimism in multivariate analyses. Serial mediation analyses revealed that beliefs about the quality of one’s relationship with God and belief in divine forgiveness fully mediated the relationship between subjective religiosity and optimism, but that the relationship is driven largely by relationship with God. Implications of these findings are discussed. PMID:29057016
Lee, C-C; Ho, H-C; Jack, Lee C-C; Su, Y-C; Lee, M-S; Hung, S-K; Chou, Pesus
2010-02-01
Oral cancer leads to a considerable use of and expenditure on health care. Wide resection of the tumour and reconstruction with a pedicle flap/free flap is widely used. This study was conducted to explore the relationship between hospitalisation costs and surgeon case volume when this operation was performed. A population-based study. This study uses data for the years 2005-2006 obtained from the National Health Insurance Research Database published in the Taiwanese National Health Research Institute. From this population-based data, the authors selected a total of 2663 oral cancer patients who underwent tumour resection and reconstruction. Case volume relationships were based on the following criteria; low-, medium-, high-, very high-volume surgeons were defined by
An Exploratory Study of Fatigue and Physical Activity in Canadian Thyroid Cancer Patients.
Alhashemi, Ahmad; Jones, Jennifer M; Goldstein, David P; Mina, Daniel Santa; Thabane, Lehana; Sabiston, Catherine M; Chang, Eugene K; Brierley, James D; Sawka, Anna M
2017-09-01
Fatigue is common among cancer survivors, but fatigue in thyroid cancer (TC) survivors may be under-appreciated. This study investigated the severity and prevalence of moderate and severe fatigue in TC survivors. Potential predictive factors, including physical activity, were explored. A cross-sectional, written, self-administered TC patient survey and retrospective chart review were performed in an outpatient academic Endocrinology clinic in Toronto, Canada. The primary outcome measure was the global fatigue score measured by the Brief Fatigue Inventory (BFI). Physical activity was evaluated using the International Physical Activity Questionnaire-7 day (IPAQ-7). Predictors of BFI global fatigue score were explored in univariate analyses and a multivariable linear regression model. The response rate was 63.1% (205/325). Three-quarters of the respondents were women (152/205). The mean age was 52.5 years, and the mean time since first TC surgery was 6.8 years. The mean global BFI score was 3.5 (standard deviation 2.4) out of 10 (10 is worst). The prevalence of moderate-severe fatigue (global BFI score 4.1-10 out of 10) was 41.4% (84/203). Individuals who were unemployed or unable to work due to disability reported significantly higher levels of fatigue compared to the rest of the study population, in uni-and multivariable analyses. Furthermore, increased physical activity was associated with reduced fatigue in uni- and multivariable analyses. Other socio-demographic, disease, or biochemical variables were not significantly associated with fatigue in the multivariable model. Moderate or severe fatigue was reported in about 4/10 TC survivors. Independent predictors of worse fatigue included unemployment and reduced physical activity.
Mohan, Harnalli L.; Bhattacharjee, Parinita; Chandrashekar, Sudha; Isac, Shajy; Wheeler, Tisha; Prakash, Ravi; Ramesh, Banadakoppa M.; Blanchard, James F.; Heise, Lori; Vickerman, Peter; Moses, Stephen; Watts, Charlotte
2014-01-01
Objectives. We examined the impact of community mobilization (CM) on the empowerment, risk behaviors, and prevalence of HIV and sexually transmitted infection in female sex workers (FSWs) in Karnataka, India. Methods. We conducted behavioral–biological surveys in 2008 and 2011 in 4 districts of Karnataka, India. We defined exposure to CM as low, medium (attended nongovernmental organization meeting or drop-in centre), or high (member of collective or peer group). We used regression analyses to explore whether exposure to CM was associated with the preceding outcomes. Pathway analyses explored the degree to which effects could be attributable to CM. Results. By the final survey, FSWs with high CM exposure were more likely to have been tested for HIV (adjusted odd ratio [AOR] = 25.13; 95% confidence interval [CI] = 13.07, 48.34) and to have used a condom at last sex with occasional clients (AOR = 4.74; 95% CI = 2.17, 10.37), repeat clients (AOR = 4.29; 95% CI = 2.24, 8.20), and regular partners (AOR = 2.80; 95% CI = 1.43, 5.45) than FSWs with low CM exposure. They were also less likely to be infected with gonorrhea or chlamydia (AOR = 0.53; 95% CI = 0.31, 0.87). Pathway analyses suggested CM acted above and beyond peer education; reduction in gonorrhea or chlamydia was attributable to CM. Conclusions. CM is a central part of HIV prevention programming among FSWs, empowering them to better negotiate condom use and access services, as well as address other concerns in their lives. PMID:24922143
Beattie, Tara S H; Mohan, Harnalli L; Bhattacharjee, Parinita; Chandrashekar, Sudha; Isac, Shajy; Wheeler, Tisha; Prakash, Ravi; Ramesh, Banadakoppa M; Blanchard, James F; Heise, Lori; Vickerman, Peter; Moses, Stephen; Watts, Charlotte
2014-08-01
We examined the impact of community mobilization (CM) on the empowerment, risk behaviors, and prevalence of HIV and sexually transmitted infection in female sex workers (FSWs) in Karnataka, India. We conducted behavioral-biological surveys in 2008 and 2011 in 4 districts of Karnataka, India. We defined exposure to CM as low, medium (attended nongovernmental organization meeting or drop-in centre), or high (member of collective or peer group). We used regression analyses to explore whether exposure to CM was associated with the preceding outcomes. Pathway analyses explored the degree to which effects could be attributable to CM. By the final survey, FSWs with high CM exposure were more likely to have been tested for HIV (adjusted odd ratio [AOR] = 25.13; 95% confidence interval [CI] = 13.07, 48.34) and to have used a condom at last sex with occasional clients (AOR = 4.74; 95% CI = 2.17, 10.37), repeat clients (AOR = 4.29; 95% CI = 2.24, 8.20), and regular partners (AOR = 2.80; 95% CI = 1.43, 5.45) than FSWs with low CM exposure. They were also less likely to be infected with gonorrhea or chlamydia (AOR = 0.53; 95% CI = 0.31, 0.87). Pathway analyses suggested CM acted above and beyond peer education; reduction in gonorrhea or chlamydia was attributable to CM. CM is a central part of HIV prevention programming among FSWs, empowering them to better negotiate condom use and access services, as well as address other concerns in their lives.
Nowakowski, Alexandra C H; Graves, Katelyn Y; Sumerau, J E
2016-03-22
This article summarizes exploratory analyses of relationships between chronic inflammation, its physical consequences, and quality of life (QoL). It summarizes key findings from preliminary analyses, and contextualizes these results with extant sociomedical literature to recommend directions for future research. Cross-sectional data from the National Social Life, Health, and Aging Project (NSHAP) were used to explore these relationships. Inflammation was assessed via the biomarker C-reactive protein (CRP). We examined associations between CRP levels and two different domains of QoL: happiness with life in general and happiness with intimate relationships. We used ordinal logistic regression with companion OLS models and Sobel-Goodman tests to assess potential mediation, and also conducted a variety of sensitivity analyses. Findings suggest that mediation pathways for the overall association between chronic inflammation and QoL may differ markedly across particular outcome constructs. Specifically, it shows mediation potential for the clinical sequelae of chronic inflammation in frameworks using happiness as an outcome measure, but not in those using relationship satisfaction. Disability appears to mediate the effect of inflammation by 27 %; chronic pain appears to exert a similar mediation effect of 21 %. Pain and disability linked to chronic inflammation appear to play a small but significant mediating role in the overall reduction in QoL observed among older adults with biomarker evidence of chronic inflammation. We note that these patterns are best framed as dynamic elements of a complex causal fabric, rather than powerful determinants that override other factors contributing to QoL. Hypotheses for further exploration using longitudinal data from the NSHAP are thus offered, pending availability of Wave III data in future years.
Henrard, S; Speybroeck, N; Hermans, C
2015-11-01
Haemophilia is a rare genetic haemorrhagic disease characterized by partial or complete deficiency of coagulation factor VIII, for haemophilia A, or IX, for haemophilia B. As in any other medical research domain, the field of haemophilia research is increasingly concerned with finding factors associated with binary or continuous outcomes through multivariable models. Traditional models include multiple logistic regressions, for binary outcomes, and multiple linear regressions for continuous outcomes. Yet these regression models are at times difficult to implement, especially for non-statisticians, and can be difficult to interpret. The present paper sought to didactically explain how, why, and when to use classification and regression tree (CART) analysis for haemophilia research. The CART method is non-parametric and non-linear, based on the repeated partitioning of a sample into subgroups based on a certain criterion. Breiman developed this method in 1984. Classification trees (CTs) are used to analyse categorical outcomes and regression trees (RTs) to analyse continuous ones. The CART methodology has become increasingly popular in the medical field, yet only a few examples of studies using this methodology specifically in haemophilia have to date been published. Two examples using CART analysis and previously published in this field are didactically explained in details. There is increasing interest in using CART analysis in the health domain, primarily due to its ease of implementation, use, and interpretation, thus facilitating medical decision-making. This method should be promoted for analysing continuous or categorical outcomes in haemophilia, when applicable. © 2015 John Wiley & Sons Ltd.
Inverse expression of survivin and reprimo correlates with poor patient prognosis in gastric cancer
Cerda-Opazo, Paulina; Valenzuela-Valderrama, Manuel; Wichmann, Ignacio; Rodríguez, Andrés; Contreras-Reyes, Daniel; Fernández, Elmer A.; Carrasco-Aviño, Gonzalo; Corvalán, Alejandro H.; Quest, Andrew F.G.
2018-01-01
BACKGROUND The objective of the study was to determine the relationship between Survivin and Reprimo transcript/protein expression levels, and gastric cancer outcome. METHODS In silico correlations between an agnostic set of twelve p53-dependent apoptosis and cell-cycle genes were explored in the gastric adenocarcinoma TCGA database, using cBioPortal. Findings were validated by regression analysis of RNAseq data. Separate regression analyses were performed to assess the impact of p53 status on Survivin and Reprimo. Quantitative reverse-transcription PCR (RT-qPCR) and immunohistochemistry confirmed in silico findings on fresh-frozen and paraffin-embedded gastric cancer tissues, respectively. Wild-type (AGS, SNU-1) and mutated p53 (NCI-N87) cell lines transfected with pEGFP-Survivin or pCMV6-Reprimo were evaluated by RT-qPCR and Western blotting. Kaplan-Meier method and Long-Rank test were used to assess differences in patient outcome. RESULTS cBioPortal analysis revealed an inverse correlation between Survivin and Reprimo expression (Pearson’s r= −0.3, Spearman’s ρ= −0.55). RNAseq analyses confirmed these findings (Spearman’s ρ= −0.37, p<4.2e-09) and revealed p53 dependence in linear regression models (p<0.05). mRNA and protein levels validated these observations in clinical samples (p<0.001). In vitro analysis in cell lines demonstrated that increasing Survivin reduced Reprimo, while increasing Reprimo reduced Survivin expression, but only did so in p53 wild-type gastric cells (p<0.05). Survivin-positive but Reprimo-negative patients displayed shorter overall survival rates (p=0.047, Long Rank Test) (HR=0.32; 95%IC: 0.11-0.97; p=0.044). CONCLUSIONS TCGA RNAseq data analysis, evaluation of clinical samples and studies in cell lines identified an inverse relationship between Survivin and Reprimo. Elevated Survivin and reduced Reprimo protein expression correlated with poor patient prognosis in gastric cancer. PMID:29560115
Reed, Margot O.; Jakubovski, Ewgeni; Johnson, Jessica A.
2017-01-01
Abstract Objective: To explore predictors of 8-year school-based behavioral outcomes in attention-deficit/hyperactivity disorder (ADHD). Methods: We examined potential baseline predictors of school-based behavioral outcomes in children who completed the 8-year follow-up in the multimodal treatment study of children with ADHD. Stepwise logistic regression and receiver operating characteristic (ROC) analysis identified baseline predictors that were associated with a higher risk of truancy, school discipline, and in-school fights. Results: Stepwise regression analysis explained between 8.1% (in-school fights) and 12.0% (school discipline) of the total variance in school-based behavioral outcomes. Logistic regression identified several baseline characteristics that were associated with school-based behavioral difficulties 8 years later, including being male (associated with truancy and school discipline), African American (school discipline, in-school fights), increased conduct disorder (CD) symptoms (truancy), decreased affection from parents (school discipline), ADHD severity (in-school fights), and study site (truancy and school discipline). ROC analyses identified the most discriminative predictors of truancy, school discipline, and in-school fights, which were Aggression and Conduct Problem Scale Total score, family income, and race, respectively. Conclusions: A modest, but nontrivial portion of school-based behavioral outcomes, was predicted by baseline childhood characteristics. Exploratory analyses identified modifiable (lack of paternal involvement, lower parental knowledge of behavioral principles, and parental use of physical punishment), somewhat modifiable (income and having comorbid CD), and nonmodifiable (African American and male) factors that were associated with school-based behavioral difficulties. Future research should confirm that the associations between earlier specific parenting behaviors and poor subsequent school-based behavioral outcomes are, indeed, causally related and independent cooccurring childhood psychopathology. Future research might target increasing paternal involvement and parental knowledge of behavioral principles and reducing use of physical punishment to improve school-based behavioral outcomes in children with ADHD. PMID:28253029
Reed, Margot O; Jakubovski, Ewgeni; Johnson, Jessica A; Bloch, Michael H
2017-05-01
To explore predictors of 8-year school-based behavioral outcomes in attention-deficit/hyperactivity disorder (ADHD). We examined potential baseline predictors of school-based behavioral outcomes in children who completed the 8-year follow-up in the multimodal treatment study of children with ADHD. Stepwise logistic regression and receiver operating characteristic (ROC) analysis identified baseline predictors that were associated with a higher risk of truancy, school discipline, and in-school fights. Stepwise regression analysis explained between 8.1% (in-school fights) and 12.0% (school discipline) of the total variance in school-based behavioral outcomes. Logistic regression identified several baseline characteristics that were associated with school-based behavioral difficulties 8 years later, including being male (associated with truancy and school discipline), African American (school discipline, in-school fights), increased conduct disorder (CD) symptoms (truancy), decreased affection from parents (school discipline), ADHD severity (in-school fights), and study site (truancy and school discipline). ROC analyses identified the most discriminative predictors of truancy, school discipline, and in-school fights, which were Aggression and Conduct Problem Scale Total score, family income, and race, respectively. A modest, but nontrivial portion of school-based behavioral outcomes, was predicted by baseline childhood characteristics. Exploratory analyses identified modifiable (lack of paternal involvement, lower parental knowledge of behavioral principles, and parental use of physical punishment), somewhat modifiable (income and having comorbid CD), and nonmodifiable (African American and male) factors that were associated with school-based behavioral difficulties. Future research should confirm that the associations between earlier specific parenting behaviors and poor subsequent school-based behavioral outcomes are, indeed, causally related and independent cooccurring childhood psychopathology. Future research might target increasing paternal involvement and parental knowledge of behavioral principles and reducing use of physical punishment to improve school-based behavioral outcomes in children with ADHD.
Inverse expression of survivin and reprimo correlates with poor patient prognosis in gastric cancer.
Cerda-Opazo, Paulina; Valenzuela-Valderrama, Manuel; Wichmann, Ignacio; Rodríguez, Andrés; Contreras-Reyes, Daniel; Fernández, Elmer A; Carrasco-Aviño, Gonzalo; Corvalán, Alejandro H; Quest, Andrew F G
2018-02-27
The objective of the study was to determine the relationship between Survivin and Reprimo transcript/protein expression levels, and gastric cancer outcome. In silico correlations between an agnostic set of twelve p53-dependent apoptosis and cell-cycle genes were explored in the gastric adenocarcinoma TCGA database, using cBioPortal. Findings were validated by regression analysis of RNAseq data. Separate regression analyses were performed to assess the impact of p53 status on Survivin and Reprimo. Quantitative reverse-transcription PCR (RT-qPCR) and immunohistochemistry confirmed in silico findings on fresh-frozen and paraffin-embedded gastric cancer tissues, respectively. Wild-type (AGS, SNU-1) and mutated p53 (NCI-N87) cell lines transfected with pEGFP-Survivin or pCMV6-Reprimo were evaluated by RT-qPCR and Western blotting. Kaplan-Meier method and Long-Rank test were used to assess differences in patient outcome. cBioPortal analysis revealed an inverse correlation between Survivin and Reprimo expression (Pearson's r= -0.3, Spearman's ρ= -0.55). RNAseq analyses confirmed these findings (Spearman's ρ= -0.37, p<4.2e-09) and revealed p53 dependence in linear regression models (p<0.05). mRNA and protein levels validated these observations in clinical samples (p<0.001). In vitro analysis in cell lines demonstrated that increasing Survivin reduced Reprimo, while increasing Reprimo reduced Survivin expression, but only did so in p53 wild-type gastric cells (p<0.05). Survivin-positive but Reprimo-negative patients displayed shorter overall survival rates (p=0.047, Long Rank Test) (HR=0.32; 95%IC: 0.11-0.97; p=0.044). TCGA RNAseq data analysis, evaluation of clinical samples and studies in cell lines identified an inverse relationship between Survivin and Reprimo. Elevated Survivin and reduced Reprimo protein expression correlated with poor patient prognosis in gastric cancer.
Suicidal and nonsuicidal adolescents: different factors contribute to self-esteem.
Grøholt, Berit; Ekeberg, Oivind; Wichstrøm, Lars; Haldorsen, Tor
2005-10-01
Some risk and protective factors differ in their importance to suicidal and nonsuicidal people. In this research we explore the cross-sectional differences between risk factors among suicidal adolescents and nonsuicidal adolescents by focusing on self-esteem. Sixty-five suicidal and 390 nonsuicidal adolescents were compared on Harter's Self-Perceived Profile for Adolescents, self-concept stability, seeking support, loneliness, and depression. Self-concept stability, loneliness, and peer support correlated differently with self-esteem. In multivariate regression analyses, variance in self-esteem was explained by depression and loneliness, and among nonsuicidal adolescents also by self-concept stability, support, and competencies. Loneliness and self-concept stability related differently to self-esteem in suicidal and nonsuicidal adolescents. When the aim is to enhance self-esteem, this difference may delineate suicidal subgroups that need special interventions.
La Guardia, J G; Ryan, R M; Couchman, C E; Deci, E L
2000-09-01
Attachment research has traditionally focused on individual differences in global patterns of attachment to important others. The current research instead focuses primarily on within-person variability in attachments across relational partners. It was predicted that within-person variability would be substantial, even among primary attachment figures of mother, father, romantic partner, and best friend. The prediction was supported in three studies. Furthermore, in line with self-determination theory, multilevel modeling and regression analyses showed that, at the relationship level, individuals' experience of fulfillment of the basic needs for autonomy, competence, and relatedness positively predicted overall attachment security, model of self, and model of other. Relations of both attachment and need satisfaction to well-being were also explored.
Riggs, Shelley A; Sahl, Gayla; Greenwald, Ellen; Atkison, Heather; Paulson, Adrienne; Ross, Colin A
2007-01-01
The current study explored the role of early family environment and adult attachment style in explaining long-term outcomes among child abuse survivors. Adult patients (N = 80) in a trauma treatment program were assessed for clinical diagnosis and administered a multiscale questionnaire. Hierarchical regression analyses were significant for dissociative identity disorder (DID), substance abuse, anxiety disorder, posttraumatic stress, somatization, and six personality disorder dimensions. Adult attachment styles were significant predictors of most outcome variables. Of particular note was the strong contribution of attachment avoidance to DID. Five family environment scales (Independence, Organization, Control, Conflict, Expressiveness) also contributed to various psychopathological outcomes. Evidence emerged supporting a mediating role for attachment style in the link between family independence and five personality disorder dimensions.
Seeking and Finding Positive Youth Development Among Zulu Youth in South African Townships.
Schwartz, Kelly D; Theron, Linda C; Scales, Peter C
2017-07-01
A cross-sectional study explored the presence and power of developmental assets in a sample of youth from rural South African townships. Learners (female = 58%; M age = 17.1; N = 505) attending three township high schools completed self-report measures of developmental assets and thriving outcomes. Participants reported contextual assets (e.g., family, school, community) in the vulnerable ranges, with gender, family structure, and school type accounting for some differences. Correlation and regression analyses revealed that five asset contexts (family, school, community, personal, social) were uniquely predictive of thriving outcomes. Discussion focuses on contextual expressions of positive youth development among Zulu township youth in challenging environments. © 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.
Pearson, J L; Ferguson, L R
1989-01-01
Relationships were explored among three measures of spatial ability--the Embedded Figures Test (EFT), the Mental Rotations Test (MRT), and the Differential Aptitude Spatial Relations subtest (DAT)--an environmental cognition task (MAP), American College Testing (ACT) math and English achievement, and gender in a sample of 282 undergraduates. Variance attributable to gender among the spatial tasks ranged from 0.5% in the EFT to 12% in the MRT. Gender accounted for only 1% of the variance in the MAP task. Gender differences were noted in regression analyses; women's math and English achievement scores were both predictive of spatial ability, while for men, only math achievement was predictive of spatial ability. The results were interpreted as substantiating sex role socialization theory of cognitive abilities.
Cederbaum, Julie A.; Hurlburt, Michael S.
2016-01-01
This study investigated the association between maternal depressive symptoms and adolescent engagement in sexual intercourse in a non-clinical sample of mothers and their adolescent daughters from minority families. The current study explores ways in which maternal depression, family factors, and adolescent sex interact. Data were from a cross-sectional study of 176 mother-daughter dyads, including a subset of mothers with HIV. Logistic regression analyses revealed that among mothers who were not current marijuana users, more maternal depressive symptoms was associated with daughters’ engagement in sexual intercourse. Neither parent-child conflict nor parental involvement significantly mediated the relationship between maternal depressive symptoms and adolescent sex. This study provides the first empirical evidence that non-clinical depressive symptoms in mothers are associated with adolescent engagement in sexual intercourse. PMID:27326541
Johnson, Sheri L; Carver, Charles S; Joormann, Jutta
2013-09-25
This study explored the hypothesis that impulsive reactions to heightened emotion may reflect a transdiagnostic vulnerability to both externalizing and internalizing symptoms. A sample of undergraduates completed self-report measures of aggression, borderline personality disorder symptoms, anxiety symptoms, and alcohol problems, and a subset completed interviews that assessed suicidality. All participants also completed self-report measures relating to impulsivity. We predicted that emotion-reactive impulsivity, but not other aspects of impulsivity, would be related to the set of psychopathology symptoms. Multiple regression analyses found that emotion-reactive impulsivity was uniquely related to each of the psychopathology scales, whereas non-emotion-relevant impulsivity was uniquely related only to alcohol problems. Discussion focuses on limitations and clinical implications. © 2013 Elsevier B.V. All rights reserved.
Williams, Paige; Kern, Margaret L; Waters, Lea
2016-01-01
Employee psychological capital (PsyCap), perceptions of organizational virtue (OV), and work happiness have been shown to be associated within and over time. This study examines selective exposure and confirmation bias as potential processes underlying PsyCap, OV, and work happiness associations. As part of a quasi-experimental study design, school staff (N = 69) completed surveys at three time points. After the first assessment, some staff (n = 51) completed a positive psychology training intervention. Results of descriptive statistics, correlation, and regression analyses on the intervention group provide some support for selective exposure and confirmation bias as explanatory mechanisms. In focusing on the processes through which employee attitudes may influence work happiness this study advances theoretical understanding, specifically of selective exposure and confirmation bias in a field study context.
General functioning predicts reward and punishment learning in schizophrenia.
Somlai, Zsuzsanna; Moustafa, Ahmed A; Kéri, Szabolcs; Myers, Catherine E; Gluck, Mark A
2011-04-01
Previous studies investigating feedback-driven reinforcement learning in patients with schizophrenia have provided mixed results. In this study, we explored the clinical predictors of reward and punishment learning using a probabilistic classification learning task. Patients with schizophrenia (n=40) performed similarly to healthy controls (n=30) on the classification learning task. However, more severe negative and general symptoms were associated with lower reward-learning performance, whereas poorer general psychosocial functioning was correlated with both lower reward- and punishment-learning performances. Multiple linear regression analyses indicated that general psychosocial functioning was the only significant predictor of reinforcement learning performance when education, antipsychotic dose, and positive, negative and general symptoms were included in the analysis. These results suggest a close relationship between reinforcement learning and general psychosocial functioning in schizophrenia. Published by Elsevier B.V.
Regression Analysis: Legal Applications in Institutional Research
ERIC Educational Resources Information Center
Frizell, Julie A.; Shippen, Benjamin S., Jr.; Luna, Andrew L.
2008-01-01
This article reviews multiple regression analysis, describes how its results should be interpreted, and instructs institutional researchers on how to conduct such analyses using an example focused on faculty pay equity between men and women. The use of multiple regression analysis will be presented as a method with which to compare salaries of…
Regression Effects in Angoff Ratings: Examples from Credentialing Exams
ERIC Educational Resources Information Center
Wyse, Adam E.
2018-01-01
This article discusses regression effects that are commonly observed in Angoff ratings where panelists tend to think that hard items are easier than they are and easy items are more difficult than they are in comparison to estimated item difficulties. Analyses of data from two credentialing exams illustrate these regression effects and the…
Towards person-centredness in aged care - exploring the impact of leadership.
Backman, Annica; Sjögren, Karin; Lindkvist, Marie; Lövheim, Hugo; Edvardsson, David
2016-09-01
To explore the association between leadership behaviours among managers in aged care, and person-centredness of care and the psychosocial climate. Theory suggests that leadership is important for improving person-centredness in aged care, however, empirical evidence is lacking. A cross-sectional design was used to collect data from Swedish aged care staff (n = 3661). Valid and reliable questionnaires assessing leadership behaviours, person-centeredness of care and the psychosocial climate were used. Data were analysed using multiple linear regression including interaction terms. Leadership behaviours were significantly related to the person-centredness of care and the psychosocial climate. The level of person-centredness of care moderated the impact of leadership on the psychosocial climate. The leadership behaviour of managers significantly impacts person-centred care practice and contributes to the psychosocial climate for both staff and residents in aged care. This study is the first empirically to confirm that middle managers have a central leadership role in developing and supporting person-centred care practice, thereby creating a positive psychosocial climate and high quality care. © 2016 John Wiley & Sons Ltd.
Stage, Virginia C; Kolasa, Kathryn M; Díaz, Sebastián R; Duffrin, Melani W
2018-01-01
Explore associations between nutrition, science, and mathematics knowledge to provide evidence that integrating food/nutrition education in the fourth-grade curriculum may support gains in academic knowledge. Secondary analysis of a quasi-experimental study. Sample included 438 students in 34 fourth-grade classrooms across North Carolina and Ohio; mean age 10 years old; gender (I = 53.2% female; C = 51.6% female). Dependent variable = post-test-nutrition knowledge; independent variables = baseline-nutrition knowledge, and post-test science and mathematics knowledge. Analyses included descriptive statistics and multiple linear regression. The hypothesized model predicted post-nutrition knowledge (F(437) = 149.4, p < .001; Adjusted R = .51). All independent variables were significant predictors with positive association. Science and mathematics knowledge were predictive of nutrition knowledge indicating use of an integrative science and mathematics curriculum to improve academic knowledge may also simultaneously improve nutrition knowledge among fourth-grade students. Teachers can benefit from integration by meeting multiple academic standards, efficiently using limited classroom time, and increasing nutrition education provided in the classroom. © 2018, American School Health Association.
de Sa, Eric; Ardern, Chris I
2014-01-01
Objectives. To develop a walkability index specific to mixed rural/suburban areas, and to explore the relationship between walkability scores and leisure time physical activity. Methods. Respondents were geocoded with 500 m and 1,000 m buffer zones around each address. A walkability index was derived from intersections, residential density, and land-use mix according to built environment measures. Multivariable logistic regression models were used to quantify the association between the index and physical activity levels. Analyses used cross-sectional data from the 2007-2008 Canadian Community Health Survey (n = 1158; ≥18 y). Results. Respondents living in highly walkable 500 m buffer zones (upper quartiles of the walkability index) were more likely to walk or cycle for leisure than those living in low-walkable buffer zones (quartile 1). When a 1,000 m buffer zone was applied, respondents in more walkable neighbourhoods were more likely to walk or cycle for both leisure-time and transport-related purposes. Conclusion. Developing a walkability index can assist in exploring the associations between measures of the built environment and physical activity to prioritize neighborhood change.
More alike than different: a comparison of male and female RNs in rural and remote Canada.
Andrews, Mary E; Stewart, Norma J; Morgan, Debra G; D'Arcy, Carl
2012-05-01
To explore gender differences and similarities on personal, employment and work-life factors and predictors of job satisfaction among registered nurses in rural and remote Canada. Research suggests that men and women are attracted to nursing for different reasons, with job security, range of employment opportunities and wages being important for male nurses. Using data from a large national survey of registered nurses in rural and remote Canada, descriptive and multiple linear regression analyses were used to identify gender differences and similarities. A larger proportion of male nurses reported experiencing aggression in the workplace. Age, annual gross income and colleague support in medicine were not found to be predictors of work satisfaction for the male nurses, although they were for women. There are more similarities than differences between male and female registered nurses in factors that affect job satisfaction. Nursing management needs to increase their awareness of the potential for workplace aggression towards male registered nurses and to explore the perceptions of interpersonal interactions that affect satisfaction in the workplace. © 2011 Blackwell Publishing Ltd.
Håkansson, Carita; Axmon, Anna; Eek, Frida
2016-10-17
More knowledge about how recovery may promote health among parents with small children is needed. To explore whether insufficient time for leisure was associated with poorer perceived health and higher stress in working parents. A further aim was to explore potential gender differences in the association between insufficient time for leisure and poor perceived health. A postal survey including the perceived stress scale and three measures of subjective health - self-rated health (SF-36), work-related fatigue (Swedish occupational fatigue questionnaire), and Lund subjective health complaints - as well as questions about time for leisure was completed by 965 women and 597 men. Risk ratios for poor perceived health and stress were estimated using Poisson regression, in which also gender interaction was analysed. The results showed higher risk for perceived stress among parents reporting insufficient time for relaxation, and more subjective health complaints among those reporting insufficient time to spend with their children. Overall, effects were larger among women than among men. A good balance between work and leisure seems to be of importance for working parents' perceived health and stress.
ERIC Educational Resources Information Center
Thomas, Michael S. C.; Knowland, Victoria C. P.; Karmiloff-Smith, Annette
2011-01-01
Loss of previously established behaviors in early childhood constitutes a markedly atypical developmental trajectory. It is found almost uniquely in autism and its cause is currently unknown (Baird et al., 2008). We present an artificial neural network model of developmental regression, exploring the hypothesis that regression is caused by…
Using Robust Standard Errors to Combine Multiple Regression Estimates with Meta-Analysis
ERIC Educational Resources Information Center
Williams, Ryan T.
2012-01-01
Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical limitations. The purpose of this study was to explore the use…
Skomorovsky, Alla; Hujaleh, Filsan; Wolejszo, Stefan
2015-07-01
Unique demands of military life (e.g., deployment) can have a significant impact on family life. Although most families cope effectively with military life stressors, some may have difficulty adjusting, experiencing marital conflicts, and violence. Evidence suggests that unmanaged occupational demands may create family stress by interfering with efforts to fulfill family duties. This study examined the effects of work-family conflict and marital satisfaction on intimate violence experienced by Canadian Armed Forces members, and the impact of such violence on their psychological well-being (N = 525). Regression analyses showed that both work-family conflict and marital satisfaction were unique and significant predictors of emotional and physical violence experienced by Canadian Armed Forces members. Moreover, bootstrapping analyses demonstrated that marital satisfaction partially mediated the relationship between work-family and family-work conflicts and intimate partner violence. The results point to the importance of examining the interrelationship between family stress and occupational stressors when exploring interpersonal violence and its psychological impact on military personnel. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.
Genetic variations in the serotonergic system contribute to amygdala volume in humans.
Li, Jin; Chen, Chunhui; Wu, Karen; Zhang, Mingxia; Zhu, Bi; Chen, Chuansheng; Moyzis, Robert K; Dong, Qi
2015-01-01
The amygdala plays a critical role in emotion processing and psychiatric disorders associated with emotion dysfunction. Accumulating evidence suggests that amygdala structure is modulated by serotonin-related genes. However, there is a gap between the small contributions of single loci (less than 1%) and the reported 63-65% heritability of amygdala structure. To understand the "missing heritability," we systematically explored the contribution of serotonin genes on amygdala structure at the gene set level. The present study of 417 healthy Chinese volunteers examined 129 representative polymorphisms in genes from multiple biological mechanisms in the regulation of serotonin neurotransmission. A system-level approach using multiple regression analyses identified that nine SNPs collectively accounted for approximately 8% of the variance in amygdala volume. Permutation analyses showed that the probability of obtaining these findings by chance was low (p = 0.043, permuted for 1000 times). Findings showed that serotonin genes contribute moderately to individual differences in amygdala volume in a healthy Chinese sample. These results indicate that the system-level approach can help us to understand the genetic basis of a complex trait such as amygdala structure.
Meader, Nicholas; Semaan, Salaam; Halton, Marie; Bhatti, Henna; Chan, Melissa; Llewellyn, Alexis; Des Jarlais, Don C
2013-07-01
This systematic review and meta-analysis examines the effectiveness of multisession psychosocial interventions compared with educational interventions and minimal interventions in reducing sexual risk in people who use drugs (51 studies; 19,209 participants). We conducted comprehensive searches (MEDLINE, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials and PsychINFO 1998-2012). Outcomes (unprotected sex, condom use, or a composite outcome) were extracted by two authors and synthesised using meta-analysis. Subgroup analyses and meta-regression were conducted to explore heterogeneity. Multisession psychosocial interventions had modest additional benefits compared to educational interventions (K = 46; OR 0.86; 95% CI 0.77, 0.96), and large positive effects compared to minimal interventions (K = 7; OR 0.60; 95% CI 0.46, 0.78). Comparison with previous meta-analyses suggested limited progress in recent years in developing more effective interventions. Multisession psychosocial and educational interventions provided similar modest sexual risk reduction justifying offering educational interventions in settings with limited exposure to sexual risk reduction interventions, messages, and resources.
Brown, Lezah P.; Rospenda, Kathleen M.; Sokas, Rosemary K.; Conroy, Lorraine; Freels, Sally; Swanson, Naomi G.
2014-01-01
Objective This research project characterizes occupational injuries, illnesses, and assaults (OIIAs) as a negative outcome associated with worker exposure to generalized workplace abuse/harassment, sexual harassment, and job threat and pressure. Methods Data were collected in a nationwide random-digit-dial telephone survey conducted during 2003–2004. There were 2,151 study interviews conducted in English and Spanish. Analyses included cross tabulation with Pearson’s Chi-Square, and logistic regression analyses. Results Three hundred fifty-one (351) study participants reported having an OIIA during the 12 months preceding the study. Occurrences of generalized workplace harassment (O.R.= 1.53; CI = 1.33 – 1.75, p≤ 0.05), sexual harassment (O.R.= 1. 18; CI = 1.04 –1.34, p≤ 0.05), and job pressure and threat (O.R.=1.26; CI = 1.10–1.45, p≤ 0.05), were significantly associated with reporting an OIIA. Conclusions The psychosocial environment is significantly associated with an increased risk of OIIA. Further research is needed to understand causal pathways and to explore potential interventions. PMID:21154106
Liu, Yansong; Zhang, Fuquan; Wang, Zhiqiang; Cao, Leiming; Wang, Jun; Na, Aiguo; Sun, Yujun; Zhao, Xudong
2016-09-30
Previous studies have shown that overgeneral autobiographical memory (OGM) is a characteristic of depression. However, there are no studies to explore the association between baseline OGM and depressive symptoms at follow-up in patients with first-episode depression (FE). This study investigated whether baseline OGM predicts depressive symptoms at follow-up in patients with FE. We recruited 125 patients with FE. The participants were divided into remitted group and non-remitted group according to the severity of their depression at 12 months follow-up. The measures consisted of the 17-item Hamilton Depression Rating Scale, Ruminative Response Scale, and Autobiographical Memory Test. Hierarchical linear regression analyses and bootstrap mediation analyses were conducted. The results showed that non-remitted patients had more OGM at baseline. Baseline OGM predicted depressive symptoms at follow-up in patients with FE. Rumination mediated the relationship between baseline OGM and depressive symptoms at follow-up. Our findings highlight OGM as a vulnerability factor involved in the maintenance of depression in patients with FE. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Conn, Vicki S; Ruppar, Todd M; Chase, Jo-Ana D; Enriquez, Maithe; Cooper, Pamela S
2015-12-01
This systematic review applied meta-analytic procedures to synthesize medication adherence interventions that focus on adults with hypertension. Comprehensive searching located trials with medication adherence behavior outcomes. Study sample, design, intervention characteristics, and outcomes were coded. Random-effects models were used in calculating standardized mean difference effect sizes. Moderator analyses were conducted using meta-analytic analogues of ANOVA and regression to explore associations between effect sizes and sample, design, and intervention characteristics. Effect sizes were calculated for 112 eligible treatment-vs.-control group outcome comparisons of 34,272 subjects. The overall standardized mean difference effect size between treatment and control subjects was 0.300. Exploratory moderator analyses revealed interventions were most effective among female, older, and moderate- or high-income participants. The most promising intervention components were those linking adherence behavior with habits, giving adherence feedback to patients, self-monitoring of blood pressure, using pill boxes and other special packaging, and motivational interviewing. The most effective interventions employed multiple components and were delivered over many days. Future research should strive for minimizing risks of bias common in this literature, especially avoiding self-report adherence measures.
McAuley, L; Pham, B; Tugwell, P; Moher, D
2000-10-07
The inclusion of only a subset of all available evidence in a meta-analysis may introduce biases and threaten its validity; this is particularly likely if the subset of included studies differ from those not included, which may be the case for published and grey literature (unpublished studies, with limited distribution). We set out to examine whether exclusion of grey literature, compared with its inclusion in meta-analysis, provides different estimates of the effectiveness of interventions assessed in randomised trials. From a random sample of 135 meta-analyses, we identified and retrieved 33 publications that included both grey and published primary studies. The 33 publications contributed 41 separate meta-analyses from several disease areas. General characteristics of the meta-analyses and associated studies and outcome data at the trial level were collected. We explored the effects of the inclusion of grey literature on the quantitative results using logistic-regression analyses. 33% of the meta-analyses were found to include some form of grey literature. The grey literature, when included, accounts for between 4.5% and 75% of the studies in a meta-analysis. On average, published work, compared with grey literature, yielded significantly larger estimates of the intervention effect by 15% (ratio of odds ratios=1.15 [95% CI 1.04-1.28]). Excluding abstracts from the analysis further compounded the exaggeration (1.33 [1.10-1.60]). The exclusion of grey literature from meta-analyses can lead to exaggerated estimates of intervention effectiveness. In general, meta-analysts should attempt to identify, retrieve, and include all reports, grey and published, that meet predefined inclusion criteria.
Publication bias in obesity treatment trials?
Allison, D B; Faith, M S; Gorman, B S
1996-10-01
The present investigation examined the extent of publication bias (namely the tendency to publish significant findings and file away non-significant findings) within the obesity treatment literature. Quantitative literature synthesis of four published meta-analyses from the obesity treatment literature. Interventions in these studies included pharmacological, educational, child, and couples treatments. To assess publication bias, several regression procedures (for example weighted least-squares, random-effects multi-level modeling, and robust regression methods) were used to regress effect sizes onto their standard errors, or proxies thereof, within each of the four meta-analysis. A significant positive beta weight in these analyses signified publication bias. There was evidence for publication bias within two of the four published meta-analyses, such that reviews of published studies were likely to overestimate clinical efficacy. The lack of evidence for publication bias within the two other meta-analyses might have been due to insufficient statistical power rather than the absence of selection bias. As in other disciplines, publication bias appears to exist in the obesity treatment literature. Suggestions are offered for managing publication bias once identified or reducing its likelihood in the first place.
van Os-Medendorp, Harmieke; van Leent-de Wit, Ilse; de Bruin-Weller, Marjolein; Knulst, André
2015-05-23
Two online self-management programs for patients with atopic dermatitis (AD) or food allergy (FA) were developed with the aim of helping patients cope with their condition, follow the prescribed treatment regimen, and deal with the consequences of their illness in daily life. Both programs consist of several modules containing information, personal stories by fellow patients, videos, and exercises with feedback. Health care professionals can refer their patients to the programs. However, the use of the program in daily practice is unknown. The aim of this study was to explore the use and characteristics of users of the online self-management programs "Living with eczema," and "Living with food allergy," and to investigate factors related to the use of the trainings. A cross-sectional design was carried out in which the outcome parameters were the number of log-ins by patients, the number of hits on the system's core features, disease severity, quality of life, and domains of self-management. Descriptive statistics were used to summarize sample characteristics and to describe number of log-ins and hits per module and per functionality. Correlation and regression analyses were used to explore the relation between the number of log-ins and patient characteristics. Since the start, 299 adult patients have been referred to the online AD program; 173 logged in for at least one occasion. Data from 75 AD patients were available for analyses. Mean number of log-ins was 3.1 (range 1-11). Linear regression with the number of log-ins as dependent variable showed that age and quality of life contributed most to the model, with betas of .35 ( P=.002) and .26 (P=.05), respectively, and an R(2) of .23. Two hundred fourteen adult FA patients were referred to the online FA training, 124 logged in for at least one occasion and data from 45 patients were available for analysis. Mean number of log-ins was 3.0 (range 1-11). Linear regression with the number of log-ins as dependent variable revealed that adding the self-management domain "social integration and support" to the model led to an R(2) of .13. The modules with information about the disease, diagnosis, and treatment were most visited. Most hits were on the information parts of the modules (55-58%), followed by exercises (30-32%). The online self-management programs "Living with eczema" and "Living with food allergy" were used by patients in addition to the usual face-to-face care. Almost 60% of all referred patients logged in, with an average of three log-ins. All modules seemed to be relevant, but there is room for improvement in the use of the training. Age, quality of life, and lower social integration and support were related to the use of the training, but only part of the variance in use could be explained by these variables.
Aalto, Sargo; Wallius, Esa; Näätänen, Petri; Hiltunen, Jaana; Metsähonkala, Liisa; Sipilä, Hannu; Karlsson, Hasse
2005-09-01
A methodological study on subject-specific regression analysis (SSRA) exploring the correlation between the neural response and the subjective evaluation of emotional experience in eleven healthy females is presented. The target emotions, i.e., amusement and sadness, were induced using validated film clips, regional cerebral blood flow (rCBF) was measured using positron emission tomography (PET), and the subjective intensity of the emotional experience during the PET scanning was measured using a category ratio (CR-10) scale. Reliability analysis of the rating data indicated that the subjects rated the intensity of their emotional experience fairly consistently on the CR-10 scale (Cronbach alphas 0.70-0.97). A two-phase random-effects analysis was performed to ensure the generalizability and inter-study comparability of the SSRA results. Random-effects SSRAs using Statistical non-Parametric Mapping 99 (SnPM99) showed that rCBF correlated with the self-rated intensity of the emotional experience mainly in the brain regions that were identified in the random-effects subtraction analyses using the same imaging data. Our results give preliminary evidence of a linear association between the neural responses related to amusement and sadness and the self-evaluated intensity of the emotional experience in several regions involved in the emotional response. SSRA utilizing subjective evaluation of emotional experience turned out a feasible and promising method of analysis. It allows versatile exploration of the neurobiology of emotions and the neural correlates of actual and individual emotional experience. Thus, SSRA might be able to catch the idiosyncratic aspects of the emotional response better than traditional subtraction analysis.
Cella, M; Swan, S; Medin, E; Reeder, C; Wykes, T
2014-02-01
People with a diagnosis of schizophrenia have limited metacognitive awareness of their symptoms. This is also evident for cognitive difficulties when neuropsychological assessments and self-reports are compared. Unlike for delusions and hallucinations, little attention has been given to factors that may influence the mismatch between objective and subjectively reported cognitive problems. Symptom severity, and also self-esteem and social functioning, can have an impact on cognitive problem perception and help to explain the gap between objective and subjective cognitive assessments in psychosis. One-hundred participants with a diagnosis of schizophrenia were recruited and assessed with a comprehensive neuropsychological battery, a measure of awareness of cognitive problems and measures of psychotic symptoms, social and behavioural functioning and self-esteem. Regression was used to investigate the influence of symptoms, social functioning and self-esteem, and patients with different levels of cognitive problem awareness were contrasted. Simple correlation analysis replicated the lack of association between objective cognitive measures and metacognitive awareness of cognitive problems. However, the results of the regression analyses highlight that self-esteem and negative symptoms predict metacognitive awareness. When significant predictors were controlled, individuals with better awareness had more impaired working memory but higher IQ. Poor self-esteem and high negative symptoms are negatively associated with metacognitive awareness in people with schizophrenia. Interventions that aim to improve cognition should consider that cognitive problem reporting in people with schizophrenia correlates poorly with objective measures and is biased not only by symptoms but also by self-esteem. Future studies should explore the causal pathways using longitudinal designs.
Kalyani, Rita Rastogi; Ji, Nan; Carnethon, Mercedes; Bertoni, Alain G; Selvin, Elizabeth; Gregg, Edward W; Sims, Mario; Golden, Sherita Hill
2017-08-01
To investigate the degree to which comorbid depression contributes to the relationship of diabetes with functional disability in African Americans (AAs), a population at high-risk for complications. We examined 2989 African Americans (AAs) in the Jackson Heart Study who had diabetes and depressive symptoms (CES-D) assessed at baseline. Overall functional disability was defined as the inability to perform at least one task of daily living. Multivariable logistic regression models explored the association of diabetes and depressive symptoms with functional disability. Prevalence of overall functional disability was highest with both diabetes and depressive symptoms (54%), similar with diabetes alone (31%) or depressive symptoms alone (33%), and lowest with neither (15%). Adjusting for demographics, smoking, BMI, cardiovascular comorbidities, and hsCRP, the association of depressive symptoms alone (OR=2.30,95% CI 1.75-3.03) and both diabetes and depressive symptoms (OR=2.75,1.88-4.04) with overall functional disability was significant, but not for diabetes alone (OR=1.26,0.95-1.67), compared to neither. In regression analyses including any diabetes and any depressive symptoms together in models, the main effect of depressive symptoms but not diabetes was associated with overall functional disability, and the interaction term was not significant (p-value=0.84). Functional disability was highest among AAs who have both diabetes and depressive symptoms; the latter was a stronger contributor. Future studies should explore mechanisms underlying functional disability in diabetes, particularly the role of depression. Copyright © 2017 Elsevier Inc. All rights reserved.
Leow, Melvin Khee-Shing; Griva, Konstadina; Choo, Robin; Wee, Hwee-Lin; Thumboo, Julian; Tai, E Shyong; Newman, Stanton
2013-01-01
HRQoL is an important outcome to guide and promote healthcare. Clinical and socioeconomic factors may influence HRQoL according to ethnicity. A multiethnic cross-sectional national cohort (N = 7198) of the Singapore general population consisting of Chinese (N = 4873), Malay (N = 1167) and Indian (N = 1158) adults were evaluated using measures of HRQoL (SF-36 version 2), family functioning, health behaviours and clinical/laboratory assessments. Multiple regression analyses were performed to identify determinants of physical and mental HRQoL in the overall population and their potential differential effects by ethnicity. No a priori hypotheses were formulated so all interaction effects were explored. HRQoL levels differed between ethnic groups. Chinese respondents had higher physical HRQoL (PCS) than Indian and Malay participants (p<0.001) whereas mental HRQoL (MCS) was higher in Malay relative to Chinese participants (p<0.001). Regressions models explained 17.1% and 14.6% of variance in PCS and MCS respectively with comorbid burden, income and employment being associated with lower HRQoL. Age and family were associated only with MCS. The effects of gender, stroke and musculoskeletal conditions on PCS varied by ethnicity, suggesting non-uniform patterns of association for Chinese, Malay and Indian individuals. Differences in HRQoL levels and determinants of HRQoL among ethnic groups underscore the need to better or differentially target population segments to promote well-being. More work is needed to explore HRQoL and wellness in relation to ethnicity.
Building Your Own Regression Model
ERIC Educational Resources Information Center
Horton, Robert, M.; Phillips, Vicki; Kenelly, John
2004-01-01
Spreadsheets to explore regression with an algebra 2 class in a medium-sized rural high school are presented. The use of spreadsheets can help students develop sophisticated understanding of mathematical models and use them to describe real-world phenomena.
Exploration of walking behavior in Vermont using spatial regression.
DOT National Transportation Integrated Search
2015-06-01
This report focuses on the relationship between walking and its contributing factors by : applying spatial regression methods. Using the Vermont data from the New England : Transportation Survey (NETS), walking variables as well as 170 independent va...
Tang, An; Chen, Joshua; Le, Thuy-Anh; Changchien, Christopher; Hamilton, Gavin; Middleton, Michael S.; Loomba, Rohit; Sirlin, Claude B.
2014-01-01
Purpose To explore the cross-sectional and longitudinal relationships between fractional liver fat content, liver volume, and total liver fat burden. Methods In 43 adults with non-alcoholic steatohepatitis participating in a clinical trial, liver volume was estimated by segmentation of magnitude-based low-flip-angle multiecho GRE images. The liver mean proton density fat fraction (PDFF) was calculated. The total liver fat index (TLFI) was estimated as the product of liver mean PDFF and liver volume. Linear regression analyses were performed. Results Cross-sectional analyses revealed statistically significant relationships between TLFI and liver mean PDFF (R2 = 0.740 baseline/0.791 follow-up, P < 0.001 baseline/P < 0.001 follow-up), and between TLFI and liver volume (R2 = 0.352/0.452, P < 0.001/< 0.001). Longitudinal analyses revealed statistically significant relationships between liver volume change and liver mean PDFF change (R2 = 0.556, P < 0.001), between TLFI change and liver mean PDFF change (R2 = 0.920, P < 0.001), and between TLFI change and liver volume change (R2 = 0.735, P < 0.001). Conclusion Liver segmentation in combination with MRI-based PDFF estimation may be used to monitor liver volume, liver mean PDFF, and TLFI in a clinical trial. PMID:25015398
Occupational value and relationships to meaning and health: elaborations of the ValMO-model.
Erlandsson, Lena-Karin; Eklund, Mona; Persson, Dennis
2011-03-01
This study investigates the theoretical assumption of the Value and Meaning in Occupations model. The aim was to explore the relationship between occupational value, perceived meaning, and subjective health in a sample of individuals of working age, 50 men and 250 women. Frequency of experienced values in occupations was assessed through the Occupational Value instrument with pre-defined items. Perceived meaning was operationalized and assessed by the Sense of Coherence measure. Subjective health was estimated by two questions from the SF-36 questionnaire. The analyses implied descriptive analyses, correlations, and logistic regression analyses in which sociodemographic variables were included. The findings showed highly significant relationships between occupational value and perceived meaning and when belonging to the high group of occupational value the likelihood was tripled of belonging to the high group of perceived meaning. When married or cohabitating there was double the likelihood of belonging to the high group of perceived meaning. Although perceived meaning was found to be positively associated with subjective health, working full time was the most important factor in explaining subjective health, compared with working less than full time. The results confirm assumptions in the ValMO-model, and the importance of focusing on occupational value in clinical practice is highlighted.
Accounting for Multiple Births in Neonatal and Perinatal Trials: Systematic Review and Case Study
Hibbs, Anna Maria; Black, Dennis; Palermo, Lisa; Cnaan, Avital; Luan, Xianqun; Truog, William E; Walsh, Michele C; Ballard, Roberta A
2010-01-01
Objectives To determine the prevalence in the neonatal literature of statistical approaches accounting for the unique clustering patterns of multiple births. To explore the sensitivity of an actual trial to several analytic approaches to multiples. Methods A systematic review of recent perinatal trials assessed the prevalence of studies accounting for clustering of multiples. The NO CLD trial served as a case study of the sensitivity of the outcome to several statistical strategies. We calculated odds ratios using non-clustered (logistic regression) and clustered (generalized estimating equations, multiple outputation) analyses. Results In the systematic review, most studies did not describe the randomization of twins and did not account for clustering. Of those studies that did, exclusion of multiples and generalized estimating equations were the most common strategies. The NO CLD study included 84 infants with a sibling enrolled in the study. Multiples were more likely than singletons to be white and were born to older mothers (p<0.01). Analyses that accounted for clustering were statistically significant; analyses assuming independence were not. Conclusions The statistical approach to multiples can influence the odds ratio and width of confidence intervals, thereby affecting the interpretation of a study outcome. A minority of perinatal studies address this issue. PMID:19969305
Accounting for multiple births in neonatal and perinatal trials: systematic review and case study.
Hibbs, Anna Maria; Black, Dennis; Palermo, Lisa; Cnaan, Avital; Luan, Xianqun; Truog, William E; Walsh, Michele C; Ballard, Roberta A
2010-02-01
To determine the prevalence in the neonatal literature of statistical approaches accounting for the unique clustering patterns of multiple births and to explore the sensitivity of an actual trial to several analytic approaches to multiples. A systematic review of recent perinatal trials assessed the prevalence of studies accounting for clustering of multiples. The Nitric Oxide to Prevent Chronic Lung Disease (NO CLD) trial served as a case study of the sensitivity of the outcome to several statistical strategies. We calculated odds ratios using nonclustered (logistic regression) and clustered (generalized estimating equations, multiple outputation) analyses. In the systematic review, most studies did not describe the random assignment of twins and did not account for clustering. Of those studies that did, exclusion of multiples and generalized estimating equations were the most common strategies. The NO CLD study included 84 infants with a sibling enrolled in the study. Multiples were more likely than singletons to be white and were born to older mothers (P < .01). Analyses that accounted for clustering were statistically significant; analyses assuming independence were not. The statistical approach to multiples can influence the odds ratio and width of confidence intervals, thereby affecting the interpretation of a study outcome. A minority of perinatal studies address this issue. Copyright 2010 Mosby, Inc. All rights reserved.
Responding to Nonwords in the Lexical Decision Task: Insights from the English Lexicon Project
Yap, Melvin J.; Sibley, Daragh E.; Balota, David A.; Ratcliff, Roger; Rueckl, Jay
2014-01-01
Researchers have extensively documented how various statistical properties of words (e.g., word-frequency) influence lexical processing. However, the impact of lexical variables on nonword decision-making performance is less clear. This gap is surprising, since a better specification of the mechanisms driving nonword responses may provide valuable insights into early lexical processes. In the present study, item-level and participant-level analyses were conducted on the trial-level lexical decision data for almost 37,000 nonwords in the English Lexicon Project in order to identify the influence of different psycholinguistic variables on nonword lexical decision performance, and to explore individual differences in how participants respond to nonwords. Item-level regression analyses reveal that nonword response time was positively correlated with number of letters, number of orthographic neighbors, number of affixes, and baseword number of syllables, and negatively correlated with Levenshtein orthographic distance and baseword frequency. Participant-level analyses also point to within- and between-session stability in nonword responses across distinct sets of items, and intriguingly reveal that higher vocabulary knowledge is associated with less sensitivity to some dimensions (e.g., number of letters) but more sensitivity to others (e.g., baseword frequency). The present findings provide well-specified and interesting new constraints for informing models of word recognition and lexical decision. PMID:25329078
School bullying and traumatic dental injuries in East London adolescents.
Agel, M; Marcenes, W; Stansfeld, S A; Bernabé, E
2014-12-01
To explore the association between school bullying and traumatic dental injuries (TDI) among 15-16-year-old school children from East London. Data from phase III of the Research with East London Adolescents Community Health Survey (RELACHS), a school-based prospective study of a representative sample of adolescents, were analysed. Adolescents provided information on demographic characteristics, socioeconomic measures and frequency of bullying in school through self-administered questionnaires and were clinically examined for overjet, lip coverage and TDI. The association between school bullying and TDI was assessed using binary logistic regression models. The prevalence of TDI was 17%, while lifetime and current prevalence of bullying was 32% and 11%, respectively. The prevalence of TDI increased with a growing frequency of bullying; from 16% among adolescents who had never been bullied at school, to 21% among those who were bullied in the past but not this school term, to 22% for those who were bullied this school term. However, this association was not statistically significant either in crude or adjusted regression models. There was no evidence of an association between frequency of school bullying and TDI in this sample of 15-16-year-old adolescents in East London.
Davis, C; Claridge, G; Cerullo, D
1997-01-01
Evidence shows a high comorbidity of eating disorders and some forms of personality disorder. Adopting a dimensional approach to both, our study explored their connection among a non-clinical sample. 191 young women completed personality scales of general neuroticism, and of borderline, schizotypal, obsessive-compulsive, and narcissistic (both adjustive and maladaptive) traits. Weight preoccupation (WP), as a normal analogue of eating disorders, was assessed with scales from the Eating Disorder Inventory, and height and weight measured. The data were analysed with multiple regression techniques, with WP as the dependent variable. In low to normal weight subjects, after controlling for the significant influence of body mass, the specific predictors of WP in the regression model were borderline personality and maladaptive narcissism, in the positive direction, and adjustive narcissism and obsessive-compulsiveness in the negative direction. In heavier women, narcissism made no contribution--nor, more significantly, did body mass. Patterns of association between eating pathology and personality disorder, especially borderline and narcissism, can be clearly mapped across to personality traits in the currently non-clinical population. This finding has important implications for understanding dynamics of, and identifying individuals at risk for, eating disorders.
Henriksen, Roger Ekeberg; Torsheim, Torbjørn; Thuen, Frode
2015-01-01
The aims of this study were to explore the degree to which relationship satisfaction predicts the risk of infectious diseases during pregnancy and to examine whether relationship satisfaction moderates the association between stressful life events and the risk of infections. This was a prospective study based on data from the Norwegian Mother and Child Cohort Study (MoBa) conducted by the Norwegian Institute of Public Health. Pregnant women (n = 67,244) completed questionnaires concerning relationship satisfaction and nine different categories of infectious diseases as well as socioeconomic characteristics and stressful life events. Associations between the predictor variables and the infectious diseases were assessed by logistic regression analyses. A multiple regression analysis was performed to assess a possible interaction of relationship satisfaction with stressful life events on the risk for infectious diseases. After controlling for marital status, age, education, income, and stressful life events, high levels of relationship satisfaction at week 15 of gestation were found to predict a significantly lower risk for eight categories of infectious diseases at gestational weeks 17-30. No significant interaction effect was found between relationship satisfaction and stressful life events on the risk for infections.
The Role of Genetic Factors in the Outbreak Mechanism of Dental Caries.
Shimomura-Kuroki, Junko; Nashida, Tomoko; Miyagawa, Yukio; Sekimoto, Tsuneo
The aim of the present study was to investigate the relationships between cariogenic bacterial infection and single nucleotide polymorphisms (SNPs) in candidate genes associated with dental caries, and to explore the factors related to caries in children. Children aged 3 to 11 years were selected. Detection of cariogenic bacteria (Streptococcus mutans, Streptococcus oralis, Streptococcus sobrinus and Lactobacillus) from the plaque of each patient, and SNP analyses of five candidate genes (MBL2, TAS2R38, GLUT2, MMP13 and CA6) were performed using DNA isolated from buccal mucosal cells. The dental caries experience in primary and permanent teeth was determined using the decayed, missing and filled teeth (DMFT) index, and the effects of the observed factors on the DMFT value were analyzed by multiple regression analysis. The results of the multiple regression analysis showed that the DMFT value significantly increased in the presence of S. mutans or S. sobrinus (p < 0.001), while the dmft/DMFT value decreased in the presence of nucleobase C in MBL2 (p < 0.05). These results suggest that the MBL2 gene is related to the pathogenesis of dental caries.
The relationship between perceived gender judgment and well-being among surgical residents.
Salles, Arghavan; Milam, Laurel; Cohen, Geoffrey; Mueller, Claudia
2018-02-01
Physician well-being is a significant problem. Here we explore whether one factor, a resident's concern for being judged by one's gender, influences well-being. Over two years at one institution, we surveyed surgical residents on validated measures of well-being as well as the extent to which they felt they were judged because of their gender (gender judgment). We used correlations and linear regression to investigate the relationships between gender judgment and well-being. There were 193 unique respondents (87% response rate). Women had significantly more concerns about gender judgment than men (M = 2.39, SD = 0.73 vs. M = 1.46, SD = 0.62, t = -9.47, p < 0.00001). In regression analyses, gender judgment concerns were significantly associated with all three well-being outcomes (Bs -0.34, 0.50, and 0.39, respectively for well-being, emotional exhaustion, and depersonalization, all p < 0.013). The degree to which residents, both male and female, are concerned about being judged for their gender is significantly associated with worse well-being. Copyright © 2017 Elsevier Inc. All rights reserved.
O'Connor, Clare; O'Higgins, Amy; Doolan, Anne; Segurado, Ricardo; Stuart, Bernard; Turner, Michael J; Kennelly, Máireád M
2014-01-01
The objective of this investigation was to study fetal thigh volume throughout gestation and explore its correlation with birth weight and neonatal body composition. This novel technique may improve birth weight prediction and lead to improved detection rates for fetal growth restriction. Fractional thigh volume (TVol) using 3D ultrasound, fetal biometry and soft tissue thickness were studied longitudinally in 42 mother-infant pairs. The percentages of neonatal body fat, fat mass and fat-free mass were determined using air displacement plethysmography. Correlation and linear regression analyses were performed. Linear regression analysis showed an association between TVol and birth weight. TVol at 33 weeks was also associated with neonatal fat-free mass. There was no correlation between TVol and neonatal fat mass. Abdominal circumference, estimated fetal weight (EFW) and EFW centile showed consistent correlations with birth weight. Thigh volume demonstrated an additional independent contribution to birth weight prediction when added to the EFW centile from the 38-week scan (p = 0.03). Fractional TVol performed at 33 weeks gestation is correlated with birth weight and neonatal lean body mass. This screening test may highlight those at risk of fetal growth restriction or macrosomia.
Is the perceived placebo effect comparable between adults and children? A meta-regression analysis.
Janiaud, Perrine; Cornu, Catherine; Lajoinie, Audrey; Djemli, Amina; Cucherat, Michel; Kassai, Behrouz
2017-01-01
A potential larger perceived placebo effect in children compared with adults could influence the detection of the treatment effect and the extrapolation of the treatment benefit from adults to children. This study aims to explore this potential difference, using a meta-epidemiological approach. A systematic review of the literature was done to identify trials included in meta-analyses evaluating a drug intervention with separate data for adults and children. The standardized mean change and the proportion of responders (binary outcomes) were used to calculate the perceived placebo effect. A meta-regression analysis was conducted to test for the difference between adults and children of the perceived placebo effect. For binary outcomes, the perceived placebo effect was significantly more favorable in children compared with adults (β = 0.13; P = 0.001). Parallel group trials (β = -1.83; P < 0.001), subjective outcomes (β = -0.76; P < 0.001), and the disease type significantly influenced the perceived placebo effect. The perceived placebo effect is different between adults and children for binary outcomes. This difference seems to be influenced by the design, the disease, and outcomes. Calibration of new studies for children should consider cautiously the placebo effect in children.
Outsourcing primary health care services--how politicians explain the grounds for their decisions.
Laamanen, Ritva; Simonsen-Rehn, Nina; Suominen, Sakari; Øvretveit, John; Brommels, Mats
2008-12-01
To explore outsourcing of primary health care (PHC) services in four municipalities in Finland with varying amounts and types of outsourcing: a Southern municipality (SM) which contracted all PHC services to a not-for-profit voluntary organization, and Eastern (EM), South-Western (SWM) and Western (WM) municipalities which had contracted out only a few services to profit or public organizations. A mail survey to all municipality politicians (response rate 52%, N=101) in 2004. Data were analyzed using cross-tabulations, Spearman correlation and linear regression analyses. Politicians were willing to outsource PHC services only partially, and many problems relating to outsourcing were reported. Politicians in all municipalities were least likely to outsource preventive services. A multiple linear regression model showed that reported preference to outsource in EM and in SWM was lower than in SM, and also lower among politicians from "leftist" political parties than "rightist" political parties. Perceived difficulties in local health policy issues were related to reduced preference to outsource. The model explained 27% of the variance of the inclination to outsource PHC services. The findings highlight how important it is to take into account local health policy issues when assessing service-provision models.
Gender differences in the predictors of physical activity among assisted living residents.
Chen, Yuh-Min; Li, Yueh-Ping; Yen, Min-Ling
2015-05-01
To explore gender differences in the predictors of physical activity (PA) among assisted living residents. A cross-sectional design was adopted. A convenience sample of 304 older adults was recruited from four assisted living facilities in Taiwan. Two separate simultaneous multiple regression analyses were conducted to identify the predictors of PA for older men and women. Independent variables entered into the regression models were age, marital status, educational level, past regular exercise participation, number of chronic diseases, functional status, self-rated health, depression, and self-efficacy expectations. In older men, a junior high school or higher educational level, past regular exercise participation, better functional status, better self-rated health, and higher self-efficacy expectations predicted more PA, accounting for 61.3% of the total variance in PA. In older women, better self-rated health, lower depression, and higher self-efficacy expectations predicted more PA, accounting for 50% of the total variance in PA. Predictors of PA differed between the two genders. The results have crucial implications for developing gender-specific PA interventions. Through a clearer understanding of gender-specific predictors, healthcare providers can implement gender-sensitive PA-enhancing interventions to assist older residents in performing sufficient PA. © 2015 Sigma Theta Tau International.
Multivariate prediction of upper limb prosthesis acceptance or rejection.
Biddiss, Elaine A; Chau, Tom T
2008-07-01
To develop a model for prediction of upper limb prosthesis use or rejection. A questionnaire exploring factors in prosthesis acceptance was distributed internationally to individuals with upper limb absence through community-based support groups and rehabilitation hospitals. A total of 191 participants (59 prosthesis rejecters and 132 prosthesis wearers) were included in this study. A logistic regression model, a C5.0 decision tree, and a radial basis function neural network were developed and compared in terms of sensitivity (prediction of prosthesis rejecters), specificity (prediction of prosthesis wearers), and overall cross-validation accuracy. The logistic regression and neural network provided comparable overall accuracies of approximately 84 +/- 3%, specificity of 93%, and sensitivity of 61%. Fitting time-frame emerged as the predominant predictor. Individuals fitted within two years of birth (congenital) or six months of amputation (acquired) were 16 times more likely to continue prosthesis use. To increase rates of prosthesis acceptance, clinical directives should focus on timely, client-centred fitting strategies and the development of improved prostheses and healthcare for individuals with high-level or bilateral limb absence. Multivariate analyses are useful in determining the relative importance of the many factors involved in prosthesis acceptance and rejection.
Grandner, Michael A; Hale, Lauren; Jackson, Nicholas; Patel, Nirav P; Gooneratne, Nalaka S; Troxel, Wendy M
2012-10-01
Perceived discrimination is a potential cause of racial and ethnic disparities in health. Disturbed sleep may serve as a mechanism linking perceived racism with health consequences. This study investigates data from 7,148 adults from Michigan and Wisconsin who participated in the 2006 Behavioral Risk Factor Surveillance System. Hierarchical logistic regression analyses explored associations between perceived racial discrimination and self-reported sleep disturbance and daytime fatigue. Sleep disturbance and daytime fatigue were reported in 19% and 21% of the sample, respectively. Black/African American respondents (21%) report perceiving worse experiences, compared to people of other races, when seeking health care at higher rates than non-Hispanic White respondents (3%). Results from logistic regression models show that perceived racial discrimination is associated with increased risks of sleep disturbance (odds ratio [OR] = 2.62, p < .0001) and daytime fatigue (OR = 2.07, p < .0001). After adjustment for all covariates, perceived discrimination remains a significant predictor of sleep disturbance (OR = 1.60, p = .04). The interaction between perceived racism and race (Black/African American vs. non-Hispanic White) was nonsignificant. This population-based research adds to the growing body of data, suggesting that perceived racism may impact health via its influence on sleep-wake behaviors.
CADDIS Volume 4. Data Analysis: Basic Analyses
Use of statistical tests to determine if an observation is outside the normal range of expected values. Details of CART, regression analysis, use of quantile regression analysis, CART in causal analysis, simplifying or pruning resulting trees.
Cano, M; Alonso, P; Martínez-Zalacaín, I; Subirà, M; Real, E; Segalàs, C; Pujol, J; Cardoner, N; Menchón, J M; Soriano-Mas, C
2018-04-01
The assessment of inter-regional functional connectivity (FC) has allowed for the description of the putative mechanism of action of treatments such as deep brain stimulation (DBS) of the nucleus accumbens in patients with obsessive-compulsive disorder (OCD). Nevertheless, the possible FC alterations of other clinically-effective DBS targets have not been explored. Here we evaluated the FC patterns of the subthalamic nucleus (STN) and the bed nucleus of the stria terminalis (BNST) in patients with OCD, as well as their association with symptom severity. Eighty-six patients with OCD and 104 healthy participants were recruited. A resting-state image was acquired for each participant and a seed-based analysis focused on our two regions of interest was performed using statistical parametric mapping software (SPM8). Between-group differences in FC patterns were assessed with two-sample t test models, while the association between symptom severity and FC patterns was assessed with multiple regression analyses. In comparison with controls, patients with OCD showed: (1) increased FC between the left STN and the right pre-motor cortex, (2) decreased FC between the right STN and the lenticular nuclei, and (3) increased FC between the left BNST and the right frontopolar cortex. Multiple regression analyses revealed a negative association between clinical severity and FC between the right STN and lenticular nucleus. This study provides a neurobiological framework to understand the mechanism of action of DBS on the STN and the BNST, which seems to involve brain circuits related with motor response inhibition and anxiety control, respectively.
Hom, Melanie A; Stanley, Ian H; Gutierrez, Peter M; Joiner, Thomas E
2017-01-01
Past research suggests that suicide has a profound impact on surviving family members and friends; yet, little is known about experiences with suicide bereavement among military populations. This study aimed to characterize experiences with suicide exposure and their associations with lifetime and current psychiatric symptoms among military service members and veterans. A sample of 1753 United States military service members and veterans completed self-report questionnaires assessing experiences with suicide exposure, lifetime history of suicidal thoughts and behaviors, current suicidal symptoms, and perceived likelihood of making a future suicide attempt. The majority of participants (57.3%) reported knowing someone who had died by suicide, and of these individuals, most (53.1%) reported having lost a friend to suicide. Chi-square tests, one-way ANOVAs, and logistic regression analyses revealed that those who reported knowing a suicide decedent were more likely to report more severe current suicidal symptoms and a history of suicidal thoughts and behaviors compared to those who did not know a suicide decedent. Hierarchical linear regression analyses indicated that greater self-reported interpersonal closeness to a suicide decedent predicted greater self-reported likelihood of a future suicide attempt, even after controlling for current suicidal symptoms and prior suicidal thoughts and behaviors. This study utilized cross-sectional data, and information regarding degree of exposure to suicide was not collected. Military personnel and veterans who have been bereaved by suicide may themselves be at elevated risk for suicidal thoughts and behaviors. Additional work is needed to delineate the relationship between these experiences. Copyright © 2016 Elsevier B.V. All rights reserved.
Rofail, Diana; Abetz, Linda; Viala, Muriel; Gait, Claire; Baladi, Jean-Francois; Payne, Krista
2009-01-01
This study assesses satisfaction with iron chelation therapy (ICT) based on a reliable and valid instrument, and explores the relationship between satisfaction and adherence to ICT. Patients in the USA and UK completed a new "Satisfaction with ICT" (SICT) instrument consisting of 28 items, three pertaining to adherence. Simple and multivariate regression analyses assessed the relationship between satisfaction with different aspects of ICT and adherence. First assessments of the SICT instrument indicate its validity and reliability. Recommended thresholds for internal consistency, convergent validity, discriminant validity, and floor and ceiling effects were met. A number of variables were identified in the simple linear regression analyses as significant predictors of "never thinking about stopping ICT," a proxy for adherence. These significant variables were entered into the multivariate model to assess the combined factor effects, explaining 42% of the total variance of "never thinking about stopping ICT." A significant and positive relationship was demonstrated between "never thinking about stopping ICT" and age (P = 0.04), Perceived Effectiveness of ICT (P = 0.003), low Burden of ICT (P = 0.002), and low Side Effects of ICT (P = 0.01). The SICT is a reliable and valid instrument which will be useful in ICT clinical trials. Furthermore, the administration of ICT by slow subcutaneous infusion negatively impacts on satisfaction with ICT which was shown to be a determinant of adherence. This points to the need for new more convenient and less burdensome oral iron chelators to increase adherence, and ultimately to improve patient outcomes.
Predictors of prison-based treatment outcomes: a comparison of men and women participants.
Messina, Nena; Burdon, William; Hagopian, Garo; Prendergast, Michael
2006-01-01
The purpose of this study was to examine differences between men and women entering prison-based therapeutic community (TC) treatment and to explore the relationship of those differences to posttreatment outcomes (i.e., aftercare participation and reincarceration rates). Extensive treatment-intake interview data for 4,386 women and 4,164 men from 16 prison-based TCs in California were compared using chi-square analyses and t-tests. Logistic regression analyses were then conducted separately for men and women to identify gender-specific factors associated with post-treatment outcomes. Prison intake data and treatment participation data come from a 5-year process and outcome evaluation of the California Department of Corrections' (CDC) Prison Treatment Expansion Initiative. The return-to-custody data came from the CDC's Offender Based Information System. Bivariate results showed that women were at a substantial disadvantage compared with their male counterparts with regard to histories of employment, substance abuse, psychological functioning, and sexual and physical abuse prior to incarceration. In contrast, men had more serious criminal justice involvement than women prior to incarceration. After controlling for these and other factors related to outcomes, regression findings showed that there were both similarities and differences with regard to gender-specific predictors of posttreatment outcomes. Time in treatment and motivation for treatment were similar predictors of aftercare participation for men and women. Psychological impairment was the strongest predictor of recidivism for both men and women. Substantial differences in background characteristics and the limited number of predictors related to posttreatment outcomes for women suggests the plausibility of gender-specific paths in the recovery process.
Tsai, Feng-Jen
2016-01-01
This study aims to determine the impact of grandchild care provision on elders' mental health by self-comparison and longitudinal study design. Information of 2930 grandparents from the Study of Health and Living Status of the Middle-Aged and Elderly in Taiwan were analysed. Elders' mental health was evaluated by Epidemiological Studies Depression Scale in both 2003 and 2007. Participants were divided into 4 groups based on their changing behaviour of caring for grandchildren from 2003 to 2007. Chi-square test was used to compare changes in elders' individual characteristics and total CESD scores between and within groups. ANOVA was used to compare the means of elders' depressive symptoms between groups while paired-t test was used to compare changes in elders' depression symptoms from 2003 to 2007. Logistic regression was performed to determine the associations between elders' changing behaviour of caring for grandchildren and changes in depressive symptoms. Elders continuously caring for grandchildren or started to take care of grandchildren significantly felt happier and enjoyed life more than before and more than elders who do not provide grandchild care. Logistic regression analyses exploring the impact of grandchild care provision found that elders provided no grandchild care had worst mental health amongst all. Elders stopped providing grandchild care had significantly higher risk of developing depressive symptoms (OR=1.40) than elders provided no grandchild care at all time. By self-comparison, this study illustrates how taking care of grandchildren maintains elders' mental health, especially against them from loneliness and depression. Copyright © 2016. Published by Elsevier Ireland Ltd.
Kendrick, Denise; Stewart, Jane; Clacy, Rose; Coffey, Frank; Cooper, Nicola; Coupland, Carol; Hayes, Mike; McColl, Elaine; Reading, Richard; Sutton, Alex; M L Towner, Elizabeth; Craig Watson, Michael
2012-01-01
Background Childhood falls result in considerable morbidity, mortality and health service use. Despite this, little evidence exists on protective factors or effective falls prevention interventions in young children. Objectives To estimate ORs for three types of medically attended fall injuries in young children in relation to safety equipment, safety behaviours and hazard reduction and explore differential effects by child and family factors and injury severity. Design Three multicentre case–control studies in UK hospitals with validation of parental reported exposures using home observations. Cases are aged 0–4 years with a medically attended fall injury occurring at home, matched on age and sex with community controls. Children attending hospital for other types of injury will serve as unmatched hospital controls. Matched analyses will use conditional logistic regression to adjust for potential confounding variables. Unmatched analyses will use unconditional logistic regression, adjusted for age, sex, deprivation and distance from hospital in addition to other confounders. Each study requires 496 cases and 1984 controls to detect an OR of 0.7, with 80% power, 5% significance level, a correlation between cases and controls of 0.1 and a range of exposure prevalences. Main outcome measures Falls on stairs, on one level and from furniture. Discussion As the largest in the field to date, these case control studies will adjust for potential confounders, validate measures of exposure and investigate modifiable risk factors for specific falls injury mechanisms. Findings should enhance the evidence base for falls prevention for young children. PMID:22628151
Wang, Ningjian; Zhang, Kun; Han, Bing; Li, Qin; Chen, Yi; Zhu, Chunfang; Chen, Yingchao; Xia, Fangzhen; Zhai, Hualing; Jiang, Boren; Shen, Zhoujun; Lu, Yingli
2017-06-01
Follicle stimulating hormone plays direct roles in a variety of nongonadal tissues and sex hormone binding globulin is becoming the convergence of the crosstalk among metabolic diseases. However, no studies have explored the association between follicle stimulating hormone and sex hormone binding globulin. We aimed to study this association among men and women. SPECT-China is a population-based study conducted since 2014. This study included 4206 men and 2842 postmenopausal women. Collected serum was assayed for gonadotropins, sex hormone binding globulin, sex hormones etc. Regression analyses were performed to assess the relationship between sex hormone binding globulin and follicle stimulating hormone and other variables including metabolic factors, thyroid function and sex hormones. Treatment with follicle stimulating hormone at different concentrations of 0, 5, 50 and 100 IU/L for 24 h was performed in HepG2 cells. In Spearman correlation, sex hormone binding globulin was significantly correlated with FSH, triglycerides, thyroxins, body mass index and blood pressure in men and postmenopausal women (all P < 0.05). In regression analyses, follicle stimulating hormone was a significant predictor of sex hormone binding globulin in men and postmenopausal women (P < 0.05), independent of above variables. Follicle stimulating hormone induced sex hormone binding globulin expression in a dose-dependent fashion in HepG2 cells. Serum follicle stimulating hormone levels were positively associated with circulating sex hormone binding globulin levels in men and postmenopausal women. This association is independent of age, insulin resistance, hepatic function, lipid profile, thyroid function, adiposity, blood pressure, and endogenous sex hormones.
Hammer, Nanna Maria; Midtgaard, Julie; Hetland, Merete Lund; Krogh, Niels Steen; Esbensen, Bente Appel
2018-05-01
Physical activity is recommended as an essential part of the non-pharmacological management of inflammatory joint disease, but previous research in this area has predominantly included women. The aim of this study was to examine physical activity behaviour in men with inflammatory joint disease. The study was conducted as a cross-sectional register-based study. Data on physical activity behaviour in men with RA, PsA and AS were matched with sociodemographic and clinical variables extracted from the DANBIO registry. Logistic regression analyses using multiple imputations were performed to investigate demographic and clinical variables associated with regular engagement in physical activity (moderate-vigorous ⩾2 h/week). Descriptive statistics were applied to explore motivation, barriers and preferences for physical activity. A total of 325 men were included of whom 129 (40%) engaged in regular physical activity. In univariate analyses, higher age, visual analogue scale (VAS) for pain, VAS fatigue, VAS patient's global, CRP level, disease activity, functional disability and current smoking were negatively associated with regular engagement in physical activity. In the final multivariable regression model only a high VAS fatigue score (⩾61 mm) (OR = 0.228; CI: 0.119, 0.436) remained significantly independently associated with regular physical activity. A majority of men with inflammatory joint disease do not meet the recommendations of regular physical activity. Both sociodemographic and clinical parameters were associated with engagement in physical activity, and fatigue especially seems to play a pivotal role in explaining suboptimal physical activity behaviour in this patient group.
Lamm, Ryan; Alves, Clark; Perrotta, Grace; Murphy, Meagan; Messina, Catherine; Sanchez, Juan F; Perez, Erika; Rosales, Luis Angel; Lescano, Andres G; Smith, Edward; Valdivia, Hugo; Fuhrer, Jack; Ballard, Sarah-Blythe
2018-06-04
Cutaneous leishmaniasis is endemic to South America where diagnosis is most commonly conducted via microscopy. Patients with suspected leishmaniasis were referred for enrollment by the Ministry of Health (MoH) in Lima, Iquitos, Puerto Maldonado, and several rural areas of Peru. A 43-question survey requesting age, gender, occupation, characterization of the lesion(s), history of leishmaniasis, and insect-deterrent behaviors was administered. Polymerase chain reaction (PCR) was conducted on lesion materials at the Naval Medical Research Unit No. 6 in Lima, and the results were compared with those obtained by the MoH using microscopy. Factors associated with negative microscopy and positive PCR results were identified using χ 2 test, t -test, and multivariate logistic regression analyses. Negative microscopy with positive PCR occurred in 31% (123/403) of the 403 cases. After adjusting for confounders, binary multivariate logistic regression analyses revealed that negative microscopy with positive PCR was associated with patients who were male (adjusted OR = 1.93 [1.06-3.53], P = 0.032), had previous leishmaniasis (adjusted OR = 2.93 [1.65-5.22], P < 0.0001), had larger lesions (adjusted OR = 1.02 [1.003-1.03], P = 0.016), and/or had a longer duration between lesion appearance and PCR testing (adjusted OR = 1.12 [1.02-1.22], P = 0.017). Future research should focus on further exploration of these underlying variables, discovery of other factors that may be associated with negative microscopy diagnosis, and the development and implementation of improved testing in endemic regions.
Wartberg, Lutz; Kriston, Levente; Kammerl, Rudolf
2017-07-01
Internet Gaming Disorder (IGD) has been included in the current edition of the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5). In the present study, the relationship among social support, friends only known through the Internet, health-related quality of life, and IGD in adolescence was explored for the first time. For this purpose, 1,095 adolescents aged from 12 to 14 years were surveyed with a standardized questionnaire concerning IGD, self-perceived social support, proportion of friends only known through the Internet, and health-related quality of life. The authors conducted unpaired t-tests, a chi-square test, as well as correlation and logistic regression analyses. According to the statistical analyses, adolescents with IGD reported lower self-perceived social support, more friends only known through the Internet, and a lower health-related quality of life compared with the group without IGD. Both in bivariate and multivariate logistic regression models, statistically significant associations between IGD and male gender, a higher proportion of friends only known through the Internet, and a lower health-related quality of life (multivariate model: Nagelkerke's R 2 = 0.37) were revealed. Lower self-perceived social support was related to IGD in the bivariate model only. In summary, quality of life and social aspects seem to be important factors for IGD in adolescence and therefore should be incorporated in further (longitudinal) studies. The findings of the present survey may provide starting points for the development of prevention and intervention programs for adolescents affected by IGD.
2012-01-01
Background Attention deficit hyperactivity disorder (ADHD) is a commonly diagnosed neuropsychiatric disorder in childhood, but the frequency of the condition is not well established in many countries. The aim of the present study was to quantify the overall prevalence of ADHD among children and adolescents in Spain by means of a systematic review and meta-analysis. Methods PubMed/MEDLINE, IME, IBECS and TESEO were comprehensively searched. Original reports were selected if they provided data on prevalence estimates of ADHD among people under 18 years old in Spain and were cross-sectional, observational epidemiological studies. Information from included studies was systematically extracted and evaluated. Overall pooled-prevalence estimates of ADHD were calculated using random-effects models. Sources of heterogeneity were explored by means sub-groups analyses and univariate meta-regressions. Results Fourteen epidemiological studies (13,026 subjects) were selected. The overall pooled-prevalence of ADHD was estimated at 6.8% [95% confidence interval (CI) 4.9 – 8.8%] representing 361,580 (95% CI 260,550 – 467,927) children and adolescents in the community. There was significant heterogeneity (P < 0.001), which was incompletely explained by subgroup analyses and meta-regressions. Conclusions Our findings suggest that the prevalence of ADHD among children and adolescents in Spain is consistent with previous studies conducted in other countries and regions. This study represents a first step in estimating the national burden of ADHD that will be essential to building evidence-based programs and services. PMID:23057832
NASA Astrophysics Data System (ADS)
DeWitt, Jennifer; Archer, Louise; Mau, Ada
2016-11-01
As concerns about participation rates in post-compulsory science continue unabated, considerable research efforts have been focused on understanding and addressing the issue, bringing various theoretical lenses to bear on the problem. One such conceptual lens is that of 'science capital' (science-related forms of social and cultural capital), which has begun to be explored as a tool for examining differential patterns of aspiration and participation in science. This paper continues this line of work, attempting to further refine our conceptualisation of science capital and to consider potential insights it might offer beyond existing, related constructs. We utilise data from two surveys conducted in England as part of the wider Enterprising Science project, a broader national survey and a more targeted survey, completed by students from schools generally serving more disadvantaged populations. Logistic regression analyses indicated that science capital was more closely related than cultural capital to science aspirations-related outcome variables. In addition, further analyses reflected that particular dimensions of science capital (science literacy, perceived transferability and utility of science, family influences) seem to be more closely related to anticipated future participation and identity in science than others. These patterns held for both data sets. While these findings are generally in alignment with previous research, we suggest that they highlight the potential value of science capital as a distinct conceptual lens, which also carries particular implications for the types of interventions that may prove valuable in considering ways to address disparities in science engagement and participation.
Oliveira, J; Debnath, M; Etain, B; Bennabi, M; Hamdani, N; Lajnef, M; Bengoufa, D; Fortier, C; Boukouaci, W; Bellivier, F; Kahn, J-P; Henry, C; Charron, D; Krishnamoorthy, R; Leboyer, M; Tamouza, R
2015-09-01
Given the importance of nitric oxide system in oxidative stress, inflammation, neurotransmission and cerebrovascular tone regulation, we postulated its potential dysfunction in bipolar disorder (BD) and suicide. By simultaneously analysing variants of three isoforms of nitric oxide synthase (NOS) genes, we explored interindividual genetic liability to suicidal behaviour in BD. A total of 536 patients with BD (DSM-IV) and 160 healthy controls were genotyped for functionally relevant NOS1, NOS2 and NOS3 polymorphisms. History of suicidal behaviour and violent suicide attempt was documented for 511 patients with BD. Chi-squared test was used to perform genetic association analyses and logistic regression to test for gene-gene interactions. NOS3 rs1799983 T homozygous state was associated with violent suicide attempts (26.4% vs. 10.8%, in patients and controls, P = 0.002, corrected P (Pc) = 0.004, OR: 2.96, 95% CI = 1.33-6.34), and this association was restricted to the early-onset BD subgroup (37.9% vs. 10.8%, in early-onset BD and controls, P = 0.0003, Pc = 0.0006 OR: 5.05, 95% CI: 1.95-12.45), while we found no association with BD per se and no gene-gene interactions. Our results bring further evidence for the potential involvement of endothelial NOS gene variants in susceptibility to suicidal behaviour. Future exploration of this pathway on larger cohort of suicidal behaviour is warranted. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Murchie, P; Raja, E A; Lee, A J; Brewster, D H; Campbell, N C; Gray, N M; Ritchie, L D; Robertson, R; Samuel, L
2015-06-01
This study explored whether longer provider delays (between first presentation and treatment) were associated with later stage and poorer survival in women with symptomatic breast cancer. Data from 850 women with symptomatic breast cancer were linked with the Scottish Cancer Registry; Death Registry; and hospital discharge dataset. Logistic regression and Cox survival analyses with restricted cubic splines explored relationships between provider delays, stage and survival, with sequential adjustment for patient and tumour factors. Although confidence intervals were wide in both adjusted analyses, those with the shortest provider delays had more advanced breast cancer at diagnosis. Beyond approximately 20 weeks, the trend suggests longer delays are associated with more advanced stage, but is not statistically significant. Those with symptomatic breast cancer and the shortest presentation to treatment time (within 4 weeks) had the poorest survival. Longer time to treatment was not significantly associated with worsening mortality. Poor prognosis patients with breast cancer are being triaged for rapid treatment with limited effect on outcome. Prolonged time to treatment does not appear to be strongly associated with poorer outcomes for patients with breast cancer, but the power of this study to assess the effect of very long delays (>25 weeks) was limited. Efforts to reduce waiting times are important from a quality of life perspective, but tumour biology may often be a more important determinant of stage at diagnosis and survival outcome. Copyright © 2015 Elsevier Ltd. All rights reserved.
Stürmer, Stefan; Benbow, Alison E F; Siem, Birte; Barth, Markus; Bodansky, Alexander N; Lotz-Schmitt, Katharina
2013-11-01
Building on an integration of research findings on intergroup behavior from multiple fields of scientific inquiry (biological and cultural paleoanthropology, social psychology), as well as research on the HEXACO personality framework (e.g., Ashton & Lee, 2007), 3 independent studies (total N = 1,007) were conducted to introduce and test a fresh personality perspective on human xenophilia. Even though the studies focused on different criteria (Study 1: favorable attitudes toward contact with immigrants, Study 2: habitual cross-cultural exploration, Study 3: favorable attitudes toward contact with indigenous people) and employed different operationalizations of major personality traits (the HEXACO Personality Inventory-Revised [HEXACO-PI-R], the 10-item Big Five Inventory [BFI-10]) results were remarkably similar. First, path analyses confirmed that major personality traits were significant and direct predictors of xenophilia that were independent of the contributions of individual differences commonly predicting xenophobic reactions across studies. Second, and in line with the authors' more specific hypotheses, hierarchical regression analyses also corroborated that individual differences in the levels of endeavor-related personality traits (i.e., eXtraversion, Openness, and Conscientiousness) had a substantially greater power in predicting individual differences in xenophilia than individual differences in levels of altruism/cooperation-related traits (i.e., Honesty-Humility, Emotionality, and Agreeableness). The implications of these findings for more general psychological theorizing on human sociality are discussed. PsycINFO Database Record (c) 2013 APA, all rights reserved
Fragile--Handle with Care: Regression Analyses That Include Categorical Data.
ERIC Educational Resources Information Center
Brown, Diane Peacock
In education and the social sciences, problems of interest to researchers and users of research often involve variables that do not meet the assumptions of regression in the area of an equal interval scale relative to a zero point. Various coding schemes exist that allow the use of regression while still answering the researcher's questions of…
Association between School Membership and Substance Use among Adolescents.
Gaete, Jorge; Rojas, Graciela; Fritsch, Rosemarie; Araya, Ricardo
2018-01-01
Substance use among adolescents is a major problem worldwide, producing many health and economic consequences. Even though there are well-known personal, familial, and social factors associated with drug use, less is known about the effect of school-related factors. School membership is a recognized variable affecting academic performance among students; however, its effect on substance use is less understood. The primary aim of this study was to explore the association between school membership and cigarette, alcohol, and cannabis use among a representative sample of secondary students from municipal state-funded schools in Santiago of Chile, and secondly, to test the hypothesis that depressive or anxiety symptoms mediate this association. A total of 2,508 students from 22 state-funded schools in Santiago, Chile, answered a questionnaire. This instrument included an abbreviated version of the psychological sense of school membership (PSSM), questions regarding the use of alcohol, tobacco, and cannabis and scales of psychological functioning (depression, anxiety, self-concept, and problem-solving). The association analyses were performed using adjusted regression models for each outcome using all independent variables while controlling for gender and age. For the mediation effect, a combination of ordinary least square and logistic regression analyses was conducted. There was an association between a strong PSSM and low risk for smoking (OR 0.57; 95% CI 0.46-0.72), drinking (0.65; 95% CI: 0.51-0.83), and cannabis use (0.52; 95% CI 0.37-0.74). We also found that depressive and anxiety symptoms do not fully mediate the association between school membership and any substance use, and 73% of this effect in the case of smoking, 80% in the case of drinking, and 78.5% in the case of cannabis use, was direct. This is the first study in Latin America exploring the association between school membership and substance use among secondary students. School membership seems to be an important and independent factor to be included in preventive interventions. Therefore, these results support future research aiming to test interventions at increasing the sense of school membership to prevent substance use among adolescents. ISRCTN19466209. Retrospectively registered.
Brouwer-Brolsma, Elske M; van de Rest, Ondine; Tieland, Michael; van der Zwaluw, Nikita L; Steegenga, Wilma T; Adam, Jos J; van Loon, Luc J C; Feskens, Edith J M; de Groot, Lisette C P G M
2013-11-01
The primary objective was to explore the possible association of serum 25-hydroxyvitamin D (25[OH]D) and vitamin D intake with markers of glucose metabolism, depression, and cognitive performance. In addition, we examined to what extent the associations between vitamin D and cognitive performance were modified or mediated by fasting plasma glucose (FPG) levels. Cross-sectional study using data of 127 frail or prefrail Dutch elderly, aged 65 years or older. Frailty was defined according to the criteria of Fried and colleagues. A participant was classified prefrail when 1 to 2 criteria were met; frailty was classified as the presence of 3 or more criteria. Associations of 25(OH)D and vitamin D intake with markers of glucose metabolism and domain-specific cognitive performance were examined by multivariable regression analyses. The possible association of vitamin D with depression and global cognitive performance was explored by Poisson regression. No associations were observed for 25(OH)D with FPG, fasting plasma insulin (FPI), Homeostasis Model Assessment-estimated Insulin Resistance (HOMA-IR), or depression. In contrast, serum 25(OH)D was positively associated with executive functioning (β 0.007, P = .01) and tended to be associated with information-processing speed (β 0.006, P = .06). FPG did not modify or mediate these associations. Vitamin D intake was not associated with cognitive performance, glucose metabolism, or depression. This cross-sectional study suggests an association of serum 25(OH)D with domain-specific cognitive performance, in particular executive functioning and possibly information-processing speed, but not with FPG, FPI, HOMA-IR, or depression. Whether these associations are causal is yet to be demonstrated. Copyright © 2013 American Medical Directors Association, Inc. Published by Elsevier Inc. All rights reserved.
An ultra low power feature extraction and classification system for wearable seizure detection.
Page, Adam; Pramod Tim Oates, Siddharth; Mohsenin, Tinoosh
2015-01-01
In this paper we explore the use of a variety of machine learning algorithms for designing a reliable and low-power, multi-channel EEG feature extractor and classifier for predicting seizures from electroencephalographic data (scalp EEG). Different machine learning classifiers including k-nearest neighbor, support vector machines, naïve Bayes, logistic regression, and neural networks are explored with the goal of maximizing detection accuracy while minimizing power, area, and latency. The input to each machine learning classifier is a 198 feature vector containing 9 features for each of the 22 EEG channels obtained over 1-second windows. All classifiers were able to obtain F1 scores over 80% and onset sensitivity of 100% when tested on 10 patients. Among five different classifiers that were explored, logistic regression (LR) proved to have minimum hardware complexity while providing average F-1 score of 91%. Both ASIC and FPGA implementations of logistic regression are presented and show the smallest area, power consumption, and the lowest latency when compared to the previous work.
Spatial quantile regression using INLA with applications to childhood overweight in Malawi.
Mtambo, Owen P L; Masangwi, Salule J; Kazembe, Lawrence N M
2015-04-01
Analyses of childhood overweight have mainly used mean regression. However, using quantile regression is more appropriate as it provides flexibility to analyse the determinants of overweight corresponding to quantiles of interest. The main objective of this study was to fit a Bayesian additive quantile regression model with structured spatial effects for childhood overweight in Malawi using the 2010 Malawi DHS data. Inference was fully Bayesian using R-INLA package. The significant determinants of childhood overweight ranged from socio-demographic factors such as type of residence to child and maternal factors such as child age and maternal BMI. We observed significant positive structured spatial effects on childhood overweight in some districts of Malawi. We recommended that the childhood malnutrition policy makers should consider timely interventions based on risk factors as identified in this paper including spatial targets of interventions. Copyright © 2015 Elsevier Ltd. All rights reserved.
Variable selection and model choice in geoadditive regression models.
Kneib, Thomas; Hothorn, Torsten; Tutz, Gerhard
2009-06-01
Model choice and variable selection are issues of major concern in practical regression analyses, arising in many biometric applications such as habitat suitability analyses, where the aim is to identify the influence of potentially many environmental conditions on certain species. We describe regression models for breeding bird communities that facilitate both model choice and variable selection, by a boosting algorithm that works within a class of geoadditive regression models comprising spatial effects, nonparametric effects of continuous covariates, interaction surfaces, and varying coefficients. The major modeling components are penalized splines and their bivariate tensor product extensions. All smooth model terms are represented as the sum of a parametric component and a smooth component with one degree of freedom to obtain a fair comparison between the model terms. A generic representation of the geoadditive model allows us to devise a general boosting algorithm that automatically performs model choice and variable selection.
Shih, Ya-Chen Tina; Konrad, Thomas R
2007-10-01
Physician income is generally high, but quite variable; hence, physicians have divergent perspectives regarding health policy initiatives and market reforms that could affect their incomes. We investigated factors underlying the distribution of income within the physician population. Full-time physicians (N=10,777) from the restricted version of the 1996-1997 Community Tracking Study Physician Survey (CTS-PS), 1996 Area Resource File, and 1996 health maintenance organization penetration data. We conducted separate analyses for primary care physicians (PCPs) and specialists. We employed least square and quantile regression models to examine factors associated with physician incomes at the mean and at various points of the income distribution, respectively. We accounted for the complex survey design for the CTS-PS data using appropriate weighted procedures and explored endogeneity using an instrumental variables method. We detected widespread and subtle effects of many variables on physician incomes at different points (10th, 25th, 75th, and 90th percentiles) in the distribution that were undetected when employing regression estimations focusing on only the means or medians. Our findings show that the effects of managed care penetration are demonstrable at the mean of specialist incomes, but are more pronounced at higher levels. Conversely, a gender gap in earnings occurs at all levels of income of both PCPs and specialists, but is more pronounced at lower income levels. The quantile regression technique offers an analytical tool to evaluate policy effects beyond the means. A longitudinal application of this approach may enable health policy makers to identify winners and losers among segments of the physician workforce and assess how market dynamics and health policy initiatives affect the overall physician income distribution over various time intervals.
Lindholdt, Louise; Labriola, Merete; Nielsen, Claus Vinther; Horsbøl, Trine Allerslev; Lund, Thomas
2017-07-20
The return-to-work (RTW) process after long-term sickness absence is often complex and long and implies multiple shifts between different labour market states for the absentee. Standard methods for examining RTW research typically rely on the analysis of one outcome measure at a time, which will not capture the many possible states and transitions the absentee can go through. The purpose of this study was to explore the potential added value of sequence analysis in supplement to standard regression analysis of a multidisciplinary RTW intervention among patients with low back pain (LBP). The study population consisted of 160 patients randomly allocated to either a hospital-based brief or a multidisciplinary intervention. Data on labour market participation following intervention were obtained from a national register and analysed in two ways: as a binary outcome expressed as active or passive relief at a 1-year follow-up and as four different categories for labour market participation. Logistic regression and sequence analysis were performed. The logistic regression analysis showed no difference in labour market participation for patients in the two groups after 1 year. Applying sequence analysis showed differences in subsequent labour market participation after 2 years after baseline in favour of the brief intervention group versus the multidisciplinary intervention group. The study indicated that sequence analysis could provide added analytical value as a supplement to traditional regression analysis in prospective studies of RTW among patients with LBP. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Shih, Ya-Chen Tina; Konrad, Thomas R
2007-01-01
Objective Physician income is generally high, but quite variable; hence, physicians have divergent perspectives regarding health policy initiatives and market reforms that could affect their incomes. We investigated factors underlying the distribution of income within the physician population. Data Sources Full-time physicians (N=10,777) from the restricted version of the 1996–1997 Community Tracking Study Physician Survey (CTS-PS), 1996 Area Resource File, and 1996 health maintenance organization penetration data. Study Design We conducted separate analyses for primary care physicians (PCPs) and specialists. We employed least square and quantile regression models to examine factors associated with physician incomes at the mean and at various points of the income distribution, respectively. We accounted for the complex survey design for the CTS-PS data using appropriate weighted procedures and explored endogeneity using an instrumental variables method. Principal Findings We detected widespread and subtle effects of many variables on physician incomes at different points (10th, 25th, 75th, and 90th percentiles) in the distribution that were undetected when employing regression estimations focusing on only the means or medians. Our findings show that the effects of managed care penetration are demonstrable at the mean of specialist incomes, but are more pronounced at higher levels. Conversely, a gender gap in earnings occurs at all levels of income of both PCPs and specialists, but is more pronounced at lower income levels. Conclusions The quantile regression technique offers an analytical tool to evaluate policy effects beyond the means. A longitudinal application of this approach may enable health policy makers to identify winners and losers among segments of the physician workforce and assess how market dynamics and health policy initiatives affect the overall physician income distribution over various time intervals. PMID:17850525
Prunier, J G; Colyn, M; Legendre, X; Nimon, K F; Flamand, M C
2015-01-01
Direct gradient analyses in spatial genetics provide unique opportunities to describe the inherent complexity of genetic variation in wildlife species and are the object of many methodological developments. However, multicollinearity among explanatory variables is a systemic issue in multivariate regression analyses and is likely to cause serious difficulties in properly interpreting results of direct gradient analyses, with the risk of erroneous conclusions, misdirected research and inefficient or counterproductive conservation measures. Using simulated data sets along with linear and logistic regressions on distance matrices, we illustrate how commonality analysis (CA), a detailed variance-partitioning procedure that was recently introduced in the field of ecology, can be used to deal with nonindependence among spatial predictors. By decomposing model fit indices into unique and common (or shared) variance components, CA allows identifying the location and magnitude of multicollinearity, revealing spurious correlations and thus thoroughly improving the interpretation of multivariate regressions. Despite a few inherent limitations, especially in the case of resistance model optimization, this review highlights the great potential of CA to account for complex multicollinearity patterns in spatial genetics and identifies future applications and lines of research. We strongly urge spatial geneticists to systematically investigate commonalities when performing direct gradient analyses. © 2014 John Wiley & Sons Ltd.
Seeker, Luise A; Ilska, Joanna J; Psifidi, Androniki; Wilbourn, Rachael V; Underwood, Sarah L; Fairlie, Jennifer; Holland, Rebecca; Froy, Hannah; Bagnall, Ainsley; Whitelaw, Bruce; Coffey, Mike; Nussey, Daniel H; Banos, Georgios
2018-01-01
Telomeres cap the ends of linear chromosomes and shorten with age in many organisms. In humans short telomeres have been linked to morbidity and mortality. With the accumulation of longitudinal datasets the focus shifts from investigating telomere length (TL) to exploring TL change within individuals over time. Some studies indicate that the speed of telomere attrition is predictive of future disease. The objectives of the present study were to 1) characterize the change in bovine relative leukocyte TL (RLTL) across the lifetime in Holstein Friesian dairy cattle, 2) estimate genetic parameters of RLTL over time and 3) investigate the association of differences in individual RLTL profiles with productive lifespan. RLTL measurements were analysed using Legendre polynomials in a random regression model to describe TL profiles and genetic variance over age. The analyses were based on 1,328 repeated RLTL measurements of 308 female Holstein Friesian dairy cattle. A quadratic Legendre polynomial was fitted to the fixed effect of age in months and to the random effect of the animal identity. Changes in RLTL, heritability and within-trait genetic correlation along the age trajectory were calculated and illustrated. At a population level, the relationship between RLTL and age was described by a positive quadratic function. Individuals varied significantly regarding the direction and amount of RLTL change over life. The heritability of RLTL ranged from 0.36 to 0.47 (SE = 0.05-0.08) and remained statistically unchanged over time. The genetic correlation of RLTL at birth with measurements later in life decreased with the time interval between samplings from near unity to 0.69, indicating that TL later in life might be regulated by different genes than TL early in life. Even though animals differed in their RLTL profiles significantly, those differences were not correlated with productive lifespan (p = 0.954).
Ilska, Joanna J.; Psifidi, Androniki; Wilbourn, Rachael V.; Underwood, Sarah L.; Fairlie, Jennifer; Holland, Rebecca; Froy, Hannah; Bagnall, Ainsley; Whitelaw, Bruce; Coffey, Mike; Nussey, Daniel H.; Banos, Georgios
2018-01-01
Telomeres cap the ends of linear chromosomes and shorten with age in many organisms. In humans short telomeres have been linked to morbidity and mortality. With the accumulation of longitudinal datasets the focus shifts from investigating telomere length (TL) to exploring TL change within individuals over time. Some studies indicate that the speed of telomere attrition is predictive of future disease. The objectives of the present study were to 1) characterize the change in bovine relative leukocyte TL (RLTL) across the lifetime in Holstein Friesian dairy cattle, 2) estimate genetic parameters of RLTL over time and 3) investigate the association of differences in individual RLTL profiles with productive lifespan. RLTL measurements were analysed using Legendre polynomials in a random regression model to describe TL profiles and genetic variance over age. The analyses were based on 1,328 repeated RLTL measurements of 308 female Holstein Friesian dairy cattle. A quadratic Legendre polynomial was fitted to the fixed effect of age in months and to the random effect of the animal identity. Changes in RLTL, heritability and within-trait genetic correlation along the age trajectory were calculated and illustrated. At a population level, the relationship between RLTL and age was described by a positive quadratic function. Individuals varied significantly regarding the direction and amount of RLTL change over life. The heritability of RLTL ranged from 0.36 to 0.47 (SE = 0.05–0.08) and remained statistically unchanged over time. The genetic correlation of RLTL at birth with measurements later in life decreased with the time interval between samplings from near unity to 0.69, indicating that TL later in life might be regulated by different genes than TL early in life. Even though animals differed in their RLTL profiles significantly, those differences were not correlated with productive lifespan (p = 0.954). PMID:29438415
Health behaviours associated with indoor tanning based on the 2012/13 Manitoba Youth Health Survey
Harland, E.; Griffith, J.; Lu, H.; Erickson, T.; Magsino, K.
2016-01-01
Abstract Introduction: Although indoor tanning causes cancer, it remains relatively common among adolescents. Little is known about indoor tanning prevalence and habits in Canada, and even less about associated behaviours. This study explores the prevalence of adolescent indoor tanning in Manitoba and its association with other demographic characteristics and health behaviours. Methods: We conducted secondary analyses of the 2012/13 Manitoba Youth Health Survey data collected from Grade 7 to 12 students (n = 64 174) and examined associations between indoor tanning (whether participants had ever used artificial tanning equipment) and 25 variables. Variables with statistically significant associations to indoor tanning were tested for collinearity and grouped based on strong associations. For each group of highly associated variables, the variable with the greatest effect upon indoor tanning was placed into the final logistic regression model. Separate analyses were conducted for males and females to better understand sex-based differences, and analyses were adjusted for age. Results: Overall, 4% of male and 9% of female students reported indoor tanning, and prevalence increased with age. Relationships between indoor tanning and other variables were similar for male and female students. Binary logistic regression models indicated that several variables significantly predicted indoor tanning, including having part-time work, being physically active, engaging in various risk behaviours such as driving after drinking for males and unplanned sex after alcohol/drugs for females, experiencing someone say something bad about one’s body shape/size/appearance, identifying as trans or with another gender, consuming creatine/other supplements and, for females only, never/rarely using sun protection. Conclusion: Indoor tanning among adolescents was associated with age, part-time work, physical activity and many consumption behaviours and lifestyle risk factors. Though legislation prohibiting adolescent indoor tanning is critical, health promotion to discourage indoor tanning may be most beneficial if it also addresses these associated factors. PMID:27556919
Health behaviours associated with indoor tanning based on the 2012/13 Manitoba Youth Health Survey.
Harland, E; Griffith, J; Lu, H; Erickson, T; Magsino, K
2016-08-01
Although indoor tanning causes cancer, it remains relatively common among adolescents. Little is known about indoor tanning prevalence and habits in Canada, and even less about associated behaviours. This study explores the prevalence of adolescent indoor tanning in Manitoba and its association with other demographic characteristics and health behaviours. We conducted secondary analyses of the 2012/13 Manitoba Youth Health Survey data collected from Grade 7 to 12 students (n = 64 174) and examined associations between indoor tanning (whether participants had ever used artificial tanning equipment) and 25 variables. Variables with statistically significant associations to indoor tanning were tested for collinearity and grouped based on strong associations. For each group of highly associated variables, the variable with the greatest effect upon indoor tanning was placed into the final logistic regression model. Separate analyses were conducted for males and females to better understand sex-based differences, and analyses were adjusted for age. Overall, 4% of male and 9% of female students reported indoor tanning, and prevalence increased with age. Relationships between indoor tanning and other variables were similar for male and female students. Binary logistic regression models indicated that several variables significantly predicted indoor tanning, including having part-time work, being physically active, engaging in various risk behaviours such as driving after drinking for males and unplanned sex after alcohol/drugs for females, experiencing someone say something bad about one's body shape/size/appearance, identifying as trans or with another gender, consuming creatine/other supplements and, for females only, never/rarely using sun protection. Indoor tanning among adolescents was associated with age, part-time work, physical activity and many consumption behaviours and lifestyle risk factors. Though legislation prohibiting adolescent indoor tanning is critical, health promotion to discourage indoor tanning may be most beneficial if it also addresses these associated factors.
Elwér, Sofia; Johansson, Klara; Hammarström, Anne
2014-03-10
Health consequences of the gender segregated labour market have previously been demonstrated in the light of gender composition of occupations and workplaces, with somewhat mixed results. Associations between the gender composition and health status have been suggested to be shaped by the psychosocial work environment. The present study aims to analyse how workplace gender composition is related to psychological distress and to explore the importance of the psychosocial work environment for psychological distress at workplaces with different gender compositions. The study population consisted of participants from the Northern Swedish Cohort with a registered workplace in 2007 when the participants were 42 years old (N=795). Questionnaire data were supplemented with register data on the gender composition of the participants' workplaces divided into three groups: workplaces with more women, mixed workplaces, and workplaces with more men. Associations between psychological distress and gender composition were analysed with multivariate logistic regression analysis adjusting for socioeconomic position, previous psychological distress, psychosocial work environment factors and gender. Logistic regression analyses (including interaction terms for gender composition and each work environment factor) were also used to assess differential associations between psychosocial work factor and psychological distress according to gender composition. Working at workplaces with a mixed gender composition was related to a higher likelihood of psychological distress compared to workplaces with more men, after adjustments for socioeconomic position, psychological distress at age 21, psychosocial work environment factors and gender. Psychosocial work environment factors did not explain the association between gender composition and psychological distress. The association between gender composition and psychological distress cannot be explained by differences in the perception of the psychosocial work environment and thus the work environment hypothesis is not supported. Workplaces with a mixed gender composition needs further research attention to explain the negative development of psychological distress during working life for both women and men at these workplaces.
2014-01-01
Background Health consequences of the gender segregated labour market have previously been demonstrated in the light of gender composition of occupations and workplaces, with somewhat mixed results. Associations between the gender composition and health status have been suggested to be shaped by the psychosocial work environment. The present study aims to analyse how workplace gender composition is related to psychological distress and to explore the importance of the psychosocial work environment for psychological distress at workplaces with different gender compositions. Methods The study population consisted of participants from the Northern Swedish Cohort with a registered workplace in 2007 when the participants were 42 years old (N = 795). Questionnaire data were supplemented with register data on the gender composition of the participants’ workplaces divided into three groups: workplaces with more women, mixed workplaces, and workplaces with more men. Associations between psychological distress and gender composition were analysed with multivariate logistic regression analysis adjusting for socioeconomic position, previous psychological distress, psychosocial work environment factors and gender. Logistic regression analyses (including interaction terms for gender composition and each work environment factor) were also used to assess differential associations between psychosocial work factor and psychological distress according to gender composition. Results Working at workplaces with a mixed gender composition was related to a higher likelihood of psychological distress compared to workplaces with more men, after adjustments for socioeconomic position, psychological distress at age 21, psychosocial work environment factors and gender. Psychosocial work environment factors did not explain the association between gender composition and psychological distress. Conclusions The association between gender composition and psychological distress cannot be explained by differences in the perception of the psychosocial work environment and thus the work environment hypothesis is not supported. Workplaces with a mixed gender composition needs further research attention to explain the negative development of psychological distress during working life for both women and men at these workplaces. PMID:24612791
Webster, R J; Williams, A; Marchetti, F; Yauk, C L
2018-07-01
Mutations in germ cells pose potential genetic risks to offspring. However, de novo mutations are rare events that are spread across the genome and are difficult to detect. Thus, studies in this area have generally been under-powered, and no human germ cell mutagen has been identified. Whole Genome Sequencing (WGS) of human pedigrees has been proposed as an approach to overcome these technical and statistical challenges. WGS enables analysis of a much wider breadth of the genome than traditional approaches. Here, we performed power analyses to determine the feasibility of using WGS in human families to identify germ cell mutagens. Different statistical models were compared in the power analyses (ANOVA and multiple regression for one-child families, and mixed effect model sampling between two to four siblings per family). Assumptions were made based on parameters from the existing literature, such as the mutation-by-paternal age effect. We explored two scenarios: a constant effect due to an exposure that occurred in the past, and an accumulating effect where the exposure is continuing. Our analysis revealed the importance of modeling inter-family variability of the mutation-by-paternal age effect. Statistical power was improved by models accounting for the family-to-family variability. Our power analyses suggest that sufficient statistical power can be attained with 4-28 four-sibling families per treatment group, when the increase in mutations ranges from 40 to 10% respectively. Modeling family variability using mixed effect models provided a reduction in sample size compared to a multiple regression approach. Much larger sample sizes were required to detect an interaction effect between environmental exposures and paternal age. These findings inform study design and statistical modeling approaches to improve power and reduce sequencing costs for future studies in this area. Crown Copyright © 2018. Published by Elsevier B.V. All rights reserved.
Mels, C M; Schutte, A E; Schutte, R; Huisman, H W; Smith, W; Fourie, C M; Kruger, R; van Rooyen, J M; Malan, N T; Malan, L
2013-12-01
Globally the prevalence of non-communicable diseases, such as hypertension and type 2 diabetes, are escalating. Metabolomic studies indicated that circulating branched chain amino acids (BCAAs) are associated with insulin resistance, coronary artery disease and increased risk for cardiovascular events. We aimed to extend the current understanding of the cardiovascular risk associated with BCAAs. We explored whether BCAAs are related to markers of cardiovascular disease in a bi-ethnic population and whether this relationship was influenced by chronic hyperglycaemia. We included 200 African and 209 Caucasian participants, and determined their ambulatory blood pressure and carotid intima-media thickness (cIMT). We analysed blood samples for glycated haemoglobin (HbA1c) and BCAAs. Participants were stratified into two groups according to their HbA1c value using the median cut-off value of 5.6%. Ambulatory BP, cIMT and BCAAs were significantly higher (all p < 0.001) in the high HbA1c group. Single regression analyses indicated significant positive associations of ambulatory blood pressure and cIMT with BCAAs (all p < 0.05) in both the groups. These associations between ambulatory systolic blood pressure (SBP) (r = 0.16, p = 0.035) and cIMT (r = 0.22, p = 0.004) with BCAAs remained in the high HbA1c group after adjusting for age, gender, ethnicity and body mass index (BMI) and were confirmed in multiple regression analyses (ambulatory SBP: R (2) = 0.17, β = 0.21, p = 0.005 and cIMT: R (2) = 0.30, β = 0.19, p = 0.003). Our results demonstrate that BCAAs are independently related to ambulatory BP and cIMT in individuals with high HbA1c levels and suggest that potential cardiovascular deterioration accompany the rise in BCAAs in conditions of hyperglycaemia.
Are there differences in health information exchange by health system type?
Opoku-Agyeman, William; Menachemi, Nir
2016-01-01
Despite the potential of health information exchange (HIE) to improve safety and reduce cost, hospitals have been slow to adopt HIE with only 30% of U.S. hospitals doing so in 2012. The aim of this study was to explore the relationship between different health system types and how they engage in HIE. Data on health system types and engagement in HIE activity were combined with secondary hospital characteristics. Ordinal logistic regression analyses were used to examine the relationship between a scale measuring the level of HIE engagement and health system type controlling for hospital and market characteristics. Data from 1552 hospitals were available for analyses. Overall, hospital in a health system of any kind exchanged more patient data elements (e.g., patient demographics, clinical summaries, laboratory results, medication history, and radiology report) compared with stand-alone hospitals (3.82 vs. 1.80, p < .001). Overall, 62.2% of hospitals were part of a health system, and among system hospitals, 125 (8.0%) were in centralized health systems, 75 (4.8%) were in centralized physician/insurance health system, 284 (18.3%) were in moderately centralized health system, 391 (25.2%) were in decentralized health system, and 91 (5.9%) were in independent health system. In regression analyses, hospitals belonging to a health system were more likely to exchange patient health data with other hospitals in the same system (OR = 3.94, p < .001) but not with hospitals outside their system (OR = 1.89, p = .445). Across health system types, there was no significant difference in the exchange of patient health data. Hospital engagement in HIE is associated with health system membership. These findings will assist hospital leaders and managers to better understand how the structure and nature of their system may influence what their individual hospital can and cannot do in their decision to engage in HIE and other decisions that support the overall system objectives.
Ge, Long; Tian, Jin-Hui; Li, Ya-Nan; Pan, Jia-Xue; Li, Ge; Wei, Dang; Xing, Xin; Pan, Bei; Chen, Yao-Long; Song, Fu-Jian; Yang, Ke-Hu
2018-01-01
The aim of this study was to investigate the differences in main characteristics, reporting and methodological quality between prospectively registered and nonregistered systematic reviews. PubMed was searched to identify systematic reviews of randomized controlled trials published in 2015 in English. After title and abstract screening, potentially relevant reviews were divided into three groups: registered non-Cochrane reviews, Cochrane reviews, and nonregistered reviews. For each group, random number tables were generated in Microsoft Excel, and the first 50 eligible studies from each group were randomly selected. Data of interest from systematic reviews were extracted. Regression analyses were conducted to explore the association between total Revised Assessment of Multiple Systematic Review (R-AMSTAR) or Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) scores and the selected characteristics of systematic reviews. The conducting and reporting of literature search in registered reviews were superior to nonregistered reviews. Differences in 9 of the 11 R-AMSTAR items were statistically significant between registered and nonregistered reviews. The total R-AMSTAR score of registered reviews was higher than nonregistered reviews [mean difference (MD) = 4.82, 95% confidence interval (CI): 3.70, 5.94]. Sensitivity analysis by excluding the registration-related item presented similar result (MD = 4.34, 95% CI: 3.28, 5.40). Total PRISMA scores of registered reviews were significantly higher than nonregistered reviews (all reviews: MD = 1.47, 95% CI: 0.64-2.30; non-Cochrane reviews: MD = 1.49, 95% CI: 0.56-2.42). However, the difference in the total PRISMA score was no longer statistically significant after excluding the item related to registration (item 5). Regression analyses showed similar results. Prospective registration may at least indirectly improve the overall methodological quality of systematic reviews, although its impact on the overall reporting quality was not significant. Copyright © 2017 Elsevier Inc. All rights reserved.
Zeng, Yanni; Navarro, Pau; Fernandez-Pujals, Ana M; Hall, Lynsey S; Clarke, Toni-Kim; Thomson, Pippa A; Smith, Blair H; Hocking, Lynne J; Padmanabhan, Sandosh; Hayward, Caroline; MacIntyre, Donald J; Wray, Naomi R; Deary, Ian J; Porteous, David J; Haley, Chris S; McIntosh, Andrew M
2017-02-15
Genome-wide association studies (GWASs) of major depressive disorder (MDD) have identified few significant associations. Testing the aggregation of genetic variants, in particular biological pathways, may be more powerful. Regional heritability analysis can be used to detect genomic regions that contribute to disease risk. We integrated pathway analysis and multilevel regional heritability analyses in a pipeline designed to identify MDD-associated pathways. The pipeline was applied to two independent GWAS samples [Generation Scotland: The Scottish Family Health Study (GS:SFHS, N = 6455) and Psychiatric Genomics Consortium (PGC:MDD) (N = 18,759)]. A polygenic risk score (PRS) composed of single nucleotide polymorphisms from the pathway most consistently associated with MDD was created, and its accuracy to predict MDD, using area under the curve, logistic regression, and linear mixed model analyses, was tested. In GS:SFHS, four pathways were significantly associated with MDD, and two of these explained a significant amount of pathway-level regional heritability. In PGC:MDD, one pathway was significantly associated with MDD. Pathway-level regional heritability was significant in this pathway in one subset of PGC:MDD. For both samples the regional heritabilities were further localized to the gene and subregion levels. The NETRIN1 signaling pathway showed the most consistent association with MDD across the two samples. PRSs from this pathway showed competitive predictive accuracy compared with the whole-genome PRSs when using area under the curve statistics, logistic regression, and linear mixed model. These post-GWAS analyses highlight the value of combining multiple methods on multiple GWAS data for the identification of risk pathways for MDD. The NETRIN1 signaling pathway is identified as a candidate pathway for MDD and should be explored in further large population studies. Copyright © 2016 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
The effects of normal aging on multiple aspects of financial decision-making
Bangma, Dorien F.; Fuermaier, Anselm B. M.; Tucha, Lara; Tucha, Oliver; Koerts, Janneke
2017-01-01
Objectives Financial decision-making (FDM) is crucial for independent living. Due to cognitive decline that accompanies normal aging, older adults might have difficulties in some aspects of FDM. However, an improved knowledge, personal experience and affective decision-making, which are also related to normal aging, may lead to a stable or even improved age-related performance in some other aspects of FDM. Therefore, the present explorative study examines the effects of normal aging on multiple aspects of FDM. Methods One-hundred and eighty participants (range 18–87 years) were assessed with eight FDM tests and several standard neuropsychological tests. Age effects were evaluated using hierarchical multiple regression analyses. The validity of the prediction models was examined by internal validation (i.e. bootstrap resampling procedure) as well as external validation on another, independent, sample of participants (n = 124). Multiple regression and correlation analyses were applied to investigate the mediation effect of standard measures of cognition on the observed effects of age on FDM. Results On a relatively basic level of FDM (e.g., paying bills or using FDM styles) no significant effects of aging were found. However more complex FDM, such as making decisions in accordance with specific rules, becomes more difficult with advancing age. Furthermore, an older age was found to be related to a decreased sensitivity for impulsive buying. These results were confirmed by the internal and external validation analyses. Mediation effects of numeracy and planning were found to explain parts of the association between one aspect of FDM (i.e. Competence in decision rules) and age; however, these cognitive domains were not able to completely explain the relation between age and FDM. Conclusion Normal aging has a negative influence on a complex aspect of FDM, however, other aspects appear to be unaffected by normal aging or improve. PMID:28792973
Sumithran, P; Purcell, K; Kuyruk, S; Proietto, J; Prendergast, L A
2018-02-01
Consistent, strong predictors of obesity treatment outcomes have not been identified. It has been suggested that broadening the range of predictor variables examined may be valuable. We explored methods to predict outcomes of a very-low-energy diet (VLED)-based programme in a clinically comparable setting, using a wide array of pre-intervention biological and psychosocial participant data. A total of 61 women and 39 men (mean ± standard deviation [SD] body mass index: 39.8 ± 7.3 kg/m 2 ) underwent an 8-week VLED and 12-month follow-up. At baseline, participants underwent a blood test and assessment of psychological, social and behavioural factors previously associated with treatment outcomes. Logistic regression, linear discriminant analysis, decision trees and random forests were used to model outcomes from baseline variables. Of the 100 participants, 88 completed the VLED and 42 attended the Week 60 visit. Overall prediction rates for weight loss of ≥10% at weeks 8 and 60, and attrition at Week 60, using combined data were between 77.8 and 87.6% for logistic regression, and lower for other methods. When logistic regression analyses included only baseline demographic and anthropometric variables, prediction rates were 76.2-86.1%. In this population, considering a wide range of biological and psychosocial data did not improve outcome prediction compared to simply-obtained baseline characteristics. © 2017 World Obesity Federation.
A tutorial on the piecewise regression approach applied to bedload transport data
Sandra E. Ryan; Laurie S. Porth
2007-01-01
This tutorial demonstrates the application of piecewise regression to bedload data to define a shift in phase of transport so that the reader may perform similar analyses on available data. The use of piecewise regression analysis implicitly recognizes different functions fit to bedload data over varying ranges of flow. The transition from primarily low rates of sand...
Williams, Paige; Kern, Margaret L.; Waters, Lea
2016-01-01
Employee psychological capital (PsyCap), perceptions of organizational virtue (OV), and work happiness have been shown to be associated within and over time. This study examines selective exposure and confirmation bias as potential processes underlying PsyCap, OV, and work happiness associations. As part of a quasi-experimental study design, school staff (N = 69) completed surveys at three time points. After the first assessment, some staff (n = 51) completed a positive psychology training intervention. Results of descriptive statistics, correlation, and regression analyses on the intervention group provide some support for selective exposure and confirmation bias as explanatory mechanisms. In focusing on the processes through which employee attitudes may influence work happiness this study advances theoretical understanding, specifically of selective exposure and confirmation bias in a field study context. PMID:27378978
Perceived safety and teen risk taking in online chat sites.
McCarty, Cheryl; Prawitz, Aimee D; Derscheid, Linda E; Montgomery, Bette
2011-03-01
Framed by theories of adolescent development, this study explored relationships among adolescents' perceptions of chat-site safety, time spent chatting, and risky online behaviors. Tenth graders (N = 139) in rural Midwestern U.S. schools completed surveys. Factor analysis produced three factors each for perception of safety and risk-taking behaviors. Regression analyses revealed that perception of safety factors were useful in predicting online risk-taking behaviors. Teens with more social discomfort and those who thought it was safe to reveal personal information and trust chat-site "friends" were more likely to take risks. As time spent in chat sites increased, so did risk-taking behaviors. Implications for educators and parents are discussed, such as initiation of conversations about safe Internet use, parental participation in chat sites as teens' invited "friends," and school programs to teach safe online practices.
Berzins, Tiffany L.; Garcia, Antonio F.; Acosta, Melina; Osman, Augustine
2017-01-01
Two instrument validation studies broadened the research literature exploring the factor structure, internal consistency reliability, and concurrent validity of scores on the Social Anxiety and Depression Life Interference—24 Inventory (SADLI-24; Osman, Bagge, Freedenthal, Guiterrez, & Emmerich, 2011). Study 1 (N = 1065) was undertaken to concurrently appraise three competing factor models for the instrument: a unidimensional model, a two-factor oblique model and a bifactor model. The bifactor model provided the best fit to the study sample data. Study 2 (N = 220) extended the results from Study 1 with an investigation of the convergent and discriminant validity for the bifactor model of the SADLI-24 with multiple regression analyses and scale-level exploratory structural equation modeling. This project yields data that augments the initial instrument development investigations for the target measure. PMID:28781401
Strategic R&D transactions in personalized drug development.
Makino, Tomohiro; Lim, Yeongjoo; Kodama, Kota
2018-03-21
Although external collaboration capability influences the development of personalized medicine, key transactions in the pharmaceutical industry have not been addressed. To explore specific trends in interorganizational transactions and key players, we longitudinally surveyed strategic transactions, comparing them with other advanced medical developments, such as antibody therapy, as controls. We found that the financing deals of start-ups have surged over the past decade, accelerating intellectual property (IP) creation. Our correlation and regression analyses identified determinants of financing deals among alliance deals, acquisition deals, patents, research and development (R&D) licenses, market licenses, and scientific papers. They showed that patents positively correlated with transactions, and that the number of R&D licenses significantly predicted financing deals. This indicates, for the first time, that start-ups and investors lead progress in personalized medicine. Copyright © 2018 Elsevier Ltd. All rights reserved.
Crawling Creating Creatures On Beckett's liminal minds.
Bernini, Marco
2015-01-01
The continuity and contiguity between animal and human beings in Beckett's work has been the subject of sustained critical attention. The recurring dehumanisation or degeneration of his characters' mental faculties and behaviours has largely been analysed as an 'ostensible animalization' of human nature - following a reading of the 'creaturely' spectrum as a regression from the human to the animal. In contrast, this article considers the creaturely level in Beckett's narrative as occupied by undeveloped human cognisers as opposed to (and sometimes rancorously opposing) fully fledged Humans. If Beckett's formal minimalism has been extensively foregrounded, this essay draws on contemporary cognitive science and phenomenology in order to define and examine what the author calls Beckett's cognitive liminalism - his literary exploration of liminal states of cognition and experience, of which the concept of the 'creature' constitutes a foundational element.
Time Series Expression Analyses Using RNA-seq: A Statistical Approach
Oh, Sunghee; Song, Seongho; Grabowski, Gregory; Zhao, Hongyu; Noonan, James P.
2013-01-01
RNA-seq is becoming the de facto standard approach for transcriptome analysis with ever-reducing cost. It has considerable advantages over conventional technologies (microarrays) because it allows for direct identification and quantification of transcripts. Many time series RNA-seq datasets have been collected to study the dynamic regulations of transcripts. However, statistically rigorous and computationally efficient methods are needed to explore the time-dependent changes of gene expression in biological systems. These methods should explicitly account for the dependencies of expression patterns across time points. Here, we discuss several methods that can be applied to model timecourse RNA-seq data, including statistical evolutionary trajectory index (SETI), autoregressive time-lagged regression (AR(1)), and hidden Markov model (HMM) approaches. We use three real datasets and simulation studies to demonstrate the utility of these dynamic methods in temporal analysis. PMID:23586021
Body self-discrepancies and women's social physique anxiety: the moderating role of the feared body.
Woodman, Tim; Steer, Rebecca
2011-05-01
We explored ideal, ought, and feared body image self-discrepancies as predictors of social physique anxiety within Carver, Lawrence, and Scheier's and Woodman and Hemmings' interaction frameworks. One hundred women completed actual, ideal, ought, and feared body self-discrepancy visual analogue scales, the Social Physique Anxiety Scale and the Beck Depression Inventory-II. Moderated hierarchical regression analyses indicated that the relationship between ought body fat discrepancies and social physique anxiety was moderated by proximity to the feared fat self. Specifically, the positive relationship between ought fat discrepancies and social physique anxiety was stronger when women were far from their feared body self. The results highlight the importance of considering the feared self in order to more fully understand the relationship between body image and social physique anxiety. ©2010 The British Psychological Society.
The mediation effect of experiential avoidance between coping and psychopathology in chronic pain.
Costa, Joana; Pinto-Gouveia, José
2011-01-01
This study explores experiential avoidance as a mediator in the relationship between coping (rational coping, avoidant coping and detached/ emotional coping) and psychopathology (depression, anxiety and stress). A battery of self-report questionnaires was used to assess coping, experiential avoidance and depression, anxiety and stress in 70 participants with a chronic pain from Portuguese primary health care units. Regression analyses were performed and showed preliminary evidence supporting the mediation role of experiential avoidance in a Portuguese sample with chronic pain. Results show that experiential avoidance partially or fully mediate the effects of rational coping and detached/emotional coping on depression and stress. Implications for clinical practice were discussed and suggest that psychopathology is not necessary direct product of coping and other processes, such as experiential avoidance, are likely involved. Copyright © 2010 John Wiley & Sons, Ltd.
Struggling to Survive: Sexual Assault, Poverty, and Mental Health Outcomes of African American women
Bryant-Davis, Thema; Ullman, Sarah E.; Tsong, Yuying; Tillman, Shaquita; Smith, Kimberly
2013-01-01
A substantial body of research documents the mental health consequences of sexual assault including, but not limited to, depression, posttraumatic stress disorder (PTSD), substance use, and suicidality. Far less attention has been given to the mental health effects of sexual assault for ethnic minority women or women living in poverty. Given African American women’s increased risk for sexual assault and increased risk for persistent poverty, the current study explores the relationship between income and mental health effects within a sample of 413 African American sexual assault survivors. Hierarchical regression analyses revealed that after controlling for childhood sexual abuse there were positive relationships between poverty and mental health outcomes of depression, PTSD, and illicit drug use. There was no significant relationship between poverty and suicidal ideation. Counseling and research implications are discussed. PMID:20397989
Ostrov, Jamie M; Godleski, Stephanie A
2009-08-01
This short-term longitudinal study (N = 112) was conducted to explore the concurrent and prospective associations between teacher-reported impulsive-hyperactive behavior and observed relational and physical aggression during early childhood (M = 45.54 months old, SD = 9.07). Multiple informants and methods including observational methods (i.e., 160 min per child) were used to assess aggression and impulsivity-hyperactivity. All measures were found to be valid and reliable. Prospective hierarchical regression analyses revealed that impulsivity-hyperactivity was associated with increases in observed physical aggression across time, controlling for initial relational aggression and gender. These findings add to the growing developmental psychopathology literature that suggests that distinguishing between subtypes of aggression during early childhood may be important for understanding the course of impulsivity-hyperactivity in young children. Implications for practice are discussed.
Predictors of Membership in Alcoholics Anonymous in a Sample of Successfully Remitted Alcoholics
Krentzman, Amy R.; Robinson, Elizabeth A. R.; Perron, Brian E.; Cranford, James A.
2012-01-01
This study identifies factors associated with Alcoholics Anonymous (AA) membership in a sample of 81 persons who have achieved at least one year of total abstinence from drugs and alcohol. Forty-four were AA members, 37 were not. Logistic regression was used to test the cross-sectional associations of baseline demographic, substance-related, spiritual and religious, and personality variables with AA membership. Significant variables from the bivariate analyses were included in a multivariate model controlling for previous AA involvement. Having more positive views of God and more negative consequences of drinking were significantly associated with AA membership. This information can be used by clinicians to identify clients for whom AA might be a good fit, and can help others overcome obstacles to AA or explore alternative forms of abstinence support. PMID:21615004
Willgerodt, Mayumi Anne; Thompson, Elaine Adams
2006-08-01
The purpose of this study was to explore ethnic and generational influences among Chinese, Filipino, and Euro American adolescents on emotional distress and risk behaviors. Hierarchical multiple regression analyses were conducted with 216 Chinese, 387 Filipino, and 400 Euro American adolescents from the National Longitudinal Study on Adolescent Health to investigate the influence of ethnicity on depression, somatic symptoms, delinquency, and substance use; and to examine the influence of generation on the outcome variables among Chinese and Filipino American adolescents. Ethnicity predicted depression and delinquency scores, while generation within ethnic groups predicted somatic symptoms and substance use. The findings diverge from theories using acculturation as an explanatory mechanism for distress and risk behaviors and underscore the importance of examining sub-groups and generations of Asian American youth. Copyright 2006 Wiley Periodicals, Inc.
Achievement goals, social goals, and motivational regulations in physical education settings.
Cecchini Estrada, José A; González González-Mesa, Carmen; Méndez-Giménez, Antonio; Fernández-Río, Javier
2011-02-01
This study examined the relationship between achievement and social goals, and explored how both goals affect students' level of informed self-determination in Physical Education. Participants were 395 high school students. Three scales were used to assess achievement, social goals, and motivation. Several hierarchical regression analyses revealed that mastery-approach goals were the greatest contributors to the individuals' levels of self-determination. Achievement and social goals were found to be separate predictors of students' levels of self-determination, and this highlights the importance of separating mastery and performance goals into avoidance and approach profiles. Girls reported significantly higher values than boys on responsibility, relationship, and mastery-avoidance goals, whereas boys scored higher on performance-approach goals. Researchers could use achievement and social goals to study students' motivation and achievement in Physical Education settings.
Time series expression analyses using RNA-seq: a statistical approach.
Oh, Sunghee; Song, Seongho; Grabowski, Gregory; Zhao, Hongyu; Noonan, James P
2013-01-01
RNA-seq is becoming the de facto standard approach for transcriptome analysis with ever-reducing cost. It has considerable advantages over conventional technologies (microarrays) because it allows for direct identification and quantification of transcripts. Many time series RNA-seq datasets have been collected to study the dynamic regulations of transcripts. However, statistically rigorous and computationally efficient methods are needed to explore the time-dependent changes of gene expression in biological systems. These methods should explicitly account for the dependencies of expression patterns across time points. Here, we discuss several methods that can be applied to model timecourse RNA-seq data, including statistical evolutionary trajectory index (SETI), autoregressive time-lagged regression (AR(1)), and hidden Markov model (HMM) approaches. We use three real datasets and simulation studies to demonstrate the utility of these dynamic methods in temporal analysis.
Burnout Evaluation and Potential Predictors in a Greek Cohort of Mental Health Nurses.
Konstantinou, Adamos-Konstantinos; Bonotis, Konstantinos; Sokratous, Maria; Siokas, Vasileios; Dardiotis, Efthimios
2018-06-01
Job burnout is one of the most serious occupational health hazards, especially, among mental health nurses. It has been attributed among others to staff shortages, health service changes, poor morale and insufficient employee participation in decision-making. The aim of this study was to measure burnout among mental health nurses, investigate relations between burnout and organizational factors and examine potential predictors of nurses' burnout. Specifically, this study aimed to investigate whether role conflict, role ambiguity, organizational commitment and subsequent job satisfaction could predict each of the three dimensions of burnout. During current cross sectional, the survey was administered to 232 mental health nurses, employed in four private psychiatric clinics in the region of Larissa, Thessaly, Greece in May 2015. Our findings were based on the responses to 78 usable questionnaires. Different statistical analyses, such as correlation analyses, regression analyses and analyses of variance were performed in order to explore possible relations. High emotional exhaustion (EE) accounted for 53.8% of the sample, while high depersonalization (DP) and high personal accomplishment (PA) accounted for 24.4% and 25.6%, respectively. The best predictors of burnout were found to be role conflict, satisfaction with workload, satisfaction with training, role ambiguity, satisfaction with pay and presence of serious family issues. These findings have implications for organizational and individual interventions, indicating that mental health nurses' burnout could be reduced, or even prevented by team building strategies, training, application of operation management, clear instructions and psychological support. Copyright © 2018 Elsevier Inc. All rights reserved.
Ecologic regression analysis and the study of the influence of air quality on mortality.
Selvin, S; Merrill, D; Wong, L; Sacks, S T
1984-01-01
This presentation focuses entirely on the use and evaluation of regression analysis applied to ecologic data as a method to study the effects of ambient air pollution on mortality rates. Using extensive national data on mortality, air quality and socio-economic status regression analyses are used to study the influence of air quality on mortality. The analytic methods and data are selected in such a way that direct comparisons can be made with other ecologic regression studies of mortality and air quality. Analyses are performed by use of two types of geographic areas, age-specific mortality of both males and females and three pollutants (total suspended particulates, sulfur dioxide and nitrogen dioxide). The overall results indicate no persuasive evidence exists of a link between air quality and general mortality levels. Additionally, a lack of consistency between the present results and previous published work is noted. Overall, it is concluded that linear regression analysis applied to nationally collected ecologic data cannot be used to usefully infer a causal relationship between air quality and mortality which is in direct contradiction to other major published studies. PMID:6734568
Advanced statistics: linear regression, part I: simple linear regression.
Marill, Keith A
2004-01-01
Simple linear regression is a mathematical technique used to model the relationship between a single independent predictor variable and a single dependent outcome variable. In this, the first of a two-part series exploring concepts in linear regression analysis, the four fundamental assumptions and the mechanics of simple linear regression are reviewed. The most common technique used to derive the regression line, the method of least squares, is described. The reader will be acquainted with other important concepts in simple linear regression, including: variable transformations, dummy variables, relationship to inference testing, and leverage. Simplified clinical examples with small datasets and graphic models are used to illustrate the points. This will provide a foundation for the second article in this series: a discussion of multiple linear regression, in which there are multiple predictor variables.
2016-01-01
Understanding the relationship between physiological measurements from human subjects and their demographic data is important within both the biometric and forensic domains. In this paper we explore the relationship between measurements of the human hand and a range of demographic features. We assess the ability of linear regression and machine learning classifiers to predict demographics from hand features, thereby providing evidence on both the strength of relationship and the key features underpinning this relationship. Our results show that we are able to predict sex, height, weight and foot size accurately within various data-range bin sizes, with machine learning classification algorithms out-performing linear regression in most situations. In addition, we identify the features used to provide these relationships applicable across multiple applications. PMID:27806075
Miguel-Hurtado, Oscar; Guest, Richard; Stevenage, Sarah V; Neil, Greg J; Black, Sue
2016-01-01
Understanding the relationship between physiological measurements from human subjects and their demographic data is important within both the biometric and forensic domains. In this paper we explore the relationship between measurements of the human hand and a range of demographic features. We assess the ability of linear regression and machine learning classifiers to predict demographics from hand features, thereby providing evidence on both the strength of relationship and the key features underpinning this relationship. Our results show that we are able to predict sex, height, weight and foot size accurately within various data-range bin sizes, with machine learning classification algorithms out-performing linear regression in most situations. In addition, we identify the features used to provide these relationships applicable across multiple applications.
Hordge, LaQuana N; McDaniel, Kiara L; Jones, Derick D; Fakayode, Sayo O
2016-05-15
The endocrine disruption property of estrogens necessitates the immediate need for effective monitoring and development of analytical protocols for their analyses in biological and human specimens. This study explores the first combined utility of a steady-state fluorescence spectroscopy and multivariate partial-least-square (PLS) regression analysis for the simultaneous determination of two estrogens (17α-ethinylestradiol (EE) and norgestimate (NOR)) concentrations in bovine serum albumin (BSA) and human serum albumin (HSA) samples. The influence of EE and NOR concentrations and temperature on the emission spectra of EE-HSA EE-BSA, NOR-HSA, and NOR-BSA complexes was also investigated. The binding of EE with HSA and BSA resulted in increase in emission characteristics of HSA and BSA and a significant blue spectra shift. In contrast, the interaction of NOR with HSA and BSA quenched the emission characteristics of HSA and BSA. The observed emission spectral shifts preclude the effective use of traditional univariate regression analysis of fluorescent data for the determination of EE and NOR concentrations in HSA and BSA samples. Multivariate partial-least-squares (PLS) regression analysis was utilized to correlate the changes in emission spectra with EE and NOR concentrations in HSA and BSA samples. The figures-of-merit of the developed PLS regression models were excellent, with limits of detection as low as 1.6×10(-8) M for EE and 2.4×10(-7) M for NOR and good linearity (R(2)>0.994985). The PLS models correctly predicted EE and NOR concentrations in independent validation HSA and BSA samples with a root-mean-square-percent-relative-error (RMS%RE) of less than 6.0% at physiological condition. On the contrary, the use of univariate regression resulted in poor predictions of EE and NOR in HSA and BSA samples, with RMS%RE larger than 40% at physiological conditions. High accuracy, low sensitivity, simplicity, low-cost with no prior analyte extraction or separation required makes this method promising, compelling, and attractive alternative for the rapid determination of estrogen concentrations in biomedical and biological specimens, pharmaceuticals, or environmental samples. Published by Elsevier B.V.
Kabeshova, A; Annweiler, C; Fantino, B; Philip, T; Gromov, V A; Launay, C P; Beauchet, O
2014-06-01
Regression tree (RT) analyses are particularly adapted to explore the risk of recurrent falling according to various combinations of fall risk factors compared to logistic regression models. The aims of this study were (1) to determine which combinations of fall risk factors were associated with the occurrence of recurrent falls in older community-dwellers, and (2) to compare the efficacy of RT and multiple logistic regression model for the identification of recurrent falls. A total of 1,760 community-dwelling volunteers (mean age ± standard deviation, 71.0 ± 5.1 years; 49.4 % female) were recruited prospectively in this cross-sectional study. Age, gender, polypharmacy, use of psychoactive drugs, fear of falling (FOF), cognitive disorders and sad mood were recorded. In addition, the history of falls within the past year was recorded using a standardized questionnaire. Among 1,760 participants, 19.7 % (n = 346) were recurrent fallers. The RT identified 14 nodes groups and 8 end nodes with FOF as the first major split. Among participants with FOF, those who had sad mood and polypharmacy formed the end node with the greatest OR for recurrent falls (OR = 6.06 with p < 0.001). Among participants without FOF, those who were male and not sad had the lowest OR for recurrent falls (OR = 0.25 with p < 0.001). The RT correctly classified 1,356 from 1,414 non-recurrent fallers (specificity = 95.6 %), and 65 from 346 recurrent fallers (sensitivity = 18.8 %). The overall classification accuracy was 81.0 %. The multiple logistic regression correctly classified 1,372 from 1,414 non-recurrent fallers (specificity = 97.0 %), and 61 from 346 recurrent fallers (sensitivity = 17.6 %). The overall classification accuracy was 81.4 %. Our results show that RT may identify specific combinations of risk factors for recurrent falls, the combination most associated with recurrent falls involving FOF, sad mood and polypharmacy. The FOF emerged as the risk factor strongly associated with recurrent falls. In addition, RT and multiple logistic regression were not sensitive enough to identify the majority of recurrent fallers but appeared efficient in detecting individuals not at risk of recurrent falls.
NASA Astrophysics Data System (ADS)
Öktem, H.
2012-01-01
Plastic injection molding plays a key role in the production of high-quality plastic parts. Shrinkage is one of the most significant problems of a plastic part in terms of quality in the plastic injection molding. This article focuses on the study of the modeling and analysis of the effects of process parameters on the shrinkage by evaluating the quality of the plastic part of a DVD-ROM cover made with Acrylonitrile Butadiene Styrene (ABS) polymer material. An effective regression model was developed to determine the mathematical relationship between the process parameters (mold temperature, melt temperature, injection pressure, injection time, and cooling time) and the volumetric shrinkage by utilizing the analysis data. Finite element (FE) analyses designed by Taguchi (L27) orthogonal arrays were run in the Moldflow simulation program. Analysis of variance (ANOVA) was then performed to check the adequacy of the regression model and to determine the effect of the process parameters on the shrinkage. Experiments were conducted to control the accuracy of the regression model with the FE analyses obtained from Moldflow. The results show that the regression model agrees very well with the FE analyses and the experiments. From this, it can be concluded that this study succeeded in modeling the shrinkage problem in our application.
Aging, not menopause, is associated with higher prevalence of hyperuricemia among older women.
Krishnan, Eswar; Bennett, Mihoko; Chen, Linjun
2014-11-01
This work aims to study the associations, if any, of hyperuricemia, gout, and menopause status in the US population. Using multiyear data from the National Health and Nutrition Examination Survey, we performed unmatched comparisons and one to three age-matched comparisons of women aged 20 to 70 years with and without hyperuricemia (serum urate ≥6 mg/dL). Analyses were performed using survey-weighted multiple logistic regression and conditional logistic regression, respectively. Overall, there were 1,477 women with hyperuricemia. Age and serum urate were significantly correlated. In unmatched analyses (n = 9,573 controls), postmenopausal women were older, were heavier, and had higher prevalence of renal impairment, hypertension, diabetes, and hyperlipidemia. In multivariable regression, after accounting for age, body mass index, glomerular filtration rate, and diuretic use, menopause was associated with hyperuricemia (odds ratio, 1.36; 95% CI, 1.05-1.76; P = 0.002). In corresponding multivariable regression using age-matched data (n = 4,431 controls), the odds ratio for menopause was 0.94 (95% CI, 0.83-1.06). Current use of hormone therapy was not associated with prevalent hyperuricemia in both unmatched and matched analyses. Age is a better statistical explanation for the higher prevalence of hyperuricemia among older women than menopause status.
Kwok, Sylvia Lai Yuk Ching; Shek, Daniel Tan Lei
2010-03-05
Utilizing Daniel Goleman's theory of emotional competence, Beck's cognitive theory, and Rudd's cognitive-behavioral theory of suicidality, the relationships between hopelessness (cognitive component), social problem solving (cognitive-behavioral component), emotional competence (emotive component), and adolescent suicidal ideation were examined. Based on the responses of 5,557 Secondary 1 to Secondary 4 students from 42 secondary schools in Hong Kong, results showed that suicidal ideation was positively related to adolescent hopelessness, but negatively related to emotional competence and social problem solving. While standard regression analyses showed that all the above variables were significant predictors of suicidal ideation, hierarchical regression analyses showed that hopelessness was the most important predictor of suicidal ideation, followed by social problem solving and emotional competence. Further regression analyses found that all four subscales of emotional competence, i.e., empathy, social skills, self-management of emotions, and utilization of emotions, were important predictors of male adolescent suicidal ideation. However, the subscale of social skills was not a significant predictor of female adolescent suicidal ideation. Standard regression analysis also revealed that all three subscales of social problem solving, i.e., negative problem orientation, rational problem solving, and impulsiveness/carelessness style, were important predictors of suicidal ideation. Theoretical and practice implications of the findings are discussed.
Risk factors for autistic regression: results of an ambispective cohort study.
Zhang, Ying; Xu, Qiong; Liu, Jing; Li, She-chang; Xu, Xiu
2012-08-01
A subgroup of children diagnosed with autism experience developmental regression featured by a loss of previously acquired abilities. The pathogeny of autistic regression is unknown, although many risk factors likely exist. To better characterize autistic regression and investigate the association between autistic regression and potential influencing factors in Chinese autistic children, we conducted an ambispective study with a cohort of 170 autistic subjects. Analyses by multiple logistic regression showed significant correlations between autistic regression and febrile seizures (OR = 3.53, 95% CI = 1.17-10.65, P = .025), as well as with a family history of neuropsychiatric disorders (OR = 3.62, 95% CI = 1.35-9.71, P = .011). This study suggests that febrile seizures and family history of neuropsychiatric disorders are correlated with autistic regression.
Space shuttle propulsion parameter estimation using optional estimation techniques
NASA Technical Reports Server (NTRS)
1983-01-01
A regression analyses on tabular aerodynamic data provided. A representative aerodynamic model for coefficient estimation. It also reduced the storage requirements for the "normal' model used to check out the estimation algorithms. The results of the regression analyses are presented. The computer routines for the filter portion of the estimation algorithm and the :"bringing-up' of the SRB predictive program on the computer was developed. For the filter program, approximately 54 routines were developed. The routines were highly subsegmented to facilitate overlaying program segments within the partitioned storage space on the computer.
Assessment of Weighted Quantile Sum Regression for Modeling Chemical Mixtures and Cancer Risk
Czarnota, Jenna; Gennings, Chris; Wheeler, David C
2015-01-01
In evaluation of cancer risk related to environmental chemical exposures, the effect of many chemicals on disease is ultimately of interest. However, because of potentially strong correlations among chemicals that occur together, traditional regression methods suffer from collinearity effects, including regression coefficient sign reversal and variance inflation. In addition, penalized regression methods designed to remediate collinearity may have limitations in selecting the truly bad actors among many correlated components. The recently proposed method of weighted quantile sum (WQS) regression attempts to overcome these problems by estimating a body burden index, which identifies important chemicals in a mixture of correlated environmental chemicals. Our focus was on assessing through simulation studies the accuracy of WQS regression in detecting subsets of chemicals associated with health outcomes (binary and continuous) in site-specific analyses and in non-site-specific analyses. We also evaluated the performance of the penalized regression methods of lasso, adaptive lasso, and elastic net in correctly classifying chemicals as bad actors or unrelated to the outcome. We based the simulation study on data from the National Cancer Institute Surveillance Epidemiology and End Results Program (NCI-SEER) case–control study of non-Hodgkin lymphoma (NHL) to achieve realistic exposure situations. Our results showed that WQS regression had good sensitivity and specificity across a variety of conditions considered in this study. The shrinkage methods had a tendency to incorrectly identify a large number of components, especially in the case of strong association with the outcome. PMID:26005323
Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk.
Czarnota, Jenna; Gennings, Chris; Wheeler, David C
2015-01-01
In evaluation of cancer risk related to environmental chemical exposures, the effect of many chemicals on disease is ultimately of interest. However, because of potentially strong correlations among chemicals that occur together, traditional regression methods suffer from collinearity effects, including regression coefficient sign reversal and variance inflation. In addition, penalized regression methods designed to remediate collinearity may have limitations in selecting the truly bad actors among many correlated components. The recently proposed method of weighted quantile sum (WQS) regression attempts to overcome these problems by estimating a body burden index, which identifies important chemicals in a mixture of correlated environmental chemicals. Our focus was on assessing through simulation studies the accuracy of WQS regression in detecting subsets of chemicals associated with health outcomes (binary and continuous) in site-specific analyses and in non-site-specific analyses. We also evaluated the performance of the penalized regression methods of lasso, adaptive lasso, and elastic net in correctly classifying chemicals as bad actors or unrelated to the outcome. We based the simulation study on data from the National Cancer Institute Surveillance Epidemiology and End Results Program (NCI-SEER) case-control study of non-Hodgkin lymphoma (NHL) to achieve realistic exposure situations. Our results showed that WQS regression had good sensitivity and specificity across a variety of conditions considered in this study. The shrinkage methods had a tendency to incorrectly identify a large number of components, especially in the case of strong association with the outcome.
Job strain in nursing homes-Exploring the impact of leadership.
Backman, Annica; Sjögren, Karin; Lövheim, Hugo; Edvardsson, David
2018-04-01
To explore the association between nursing home managers' leadership, job strain and social support as perceived by direct care staff in nursing homes. It is well known that aged care staff experience high levels of job strain, and that aged care staff experiencing job strain are exposed to increased risk for adverse health effects. Leadership styles have been associated with job strain in the literature; however, the impact of perceived leadership on staff job strain and social support has not been clarified within nursing home contexts. This study had a cross-sectional design. Participating staff (n = 3,605) completed surveys which included questions about staff characteristics, valid and reliable measures of nursing home managers' leadership, perceived job strain and social support. Statistical analyses of correlations and multiple regression analysis with interaction terms were conducted. Nursing home managers' leadership were significantly associated with lower level of job strain and higher level of social support among direct care staff. A multiple regression analysis including an interaction term indicated individual and joint effects of nursing home managers' leadership and social support on job strain. Nursing home managers' leadership and social support were both individually and in combination associated with staff perception of lesser job strain. Thus, nursing home managers' leadership are beneficial for the working situation and strain of staff. Promoting a supporting work environment through leadership is an important implication for nursing home managers as it can influence staff perception of job strain and social support within the unit. By providing leadership, offering support and strategies towards a healthy work environment, nursing home managers can buffer adverse health effects among staff. © 2017 John Wiley & Sons Ltd.
Liu, Cong; Chen, Renjie; Zhao, Yaohui; Ma, Zongwei; Bi, Jun; Liu, Yang; Meng, Xia; Wang, Yafeng; Chen, Xinxin; Li, Weihua; Kan, Haidong
2017-04-15
Limited evidence is available regarding the long-term effects of fine particulate (PM 2.5 ) air pollution on hypertension in developing countries. This study aimed to explore the associations of long-term exposure to PM 2.5 with hypertension prevalence and blood pressure (BP) in China. We conducted a cross-sectional study based on a nationally representative survey (13,975 participants). We estimated the long-term average exposure to PM 2.5 for all subjects during the study period (June 2011 to March 2012) by a satellite-based model with a spatial resolution of 10×10km. We applied multivariable logistic regression models to evaluate the associations between PM 2.5 and hypertension prevalence and linear regression models for the associations between PM 2.5 and systolic BP and diastolic BP. We also explored potential effect modification by stratification analyses. There were 5715 cases of hypertension, accounting for 40.9% of the study population in this analysis. The annual mean exposure to PM 2.5 for all participants was 72.8μg/m 3 on average. An interquartile range increase (IQR, 41.7μg/m 3 ) in PM 2.5 was associated with higher prevalence of hypertension with an odds ratio of 1.11 [95% confidence interval (CI): 1.05, 1.17]. Systolic BP increased by 0.60mmHg (95% CI: 0.05, 1.15) per an IQR increase in PM 2.5 . The effects of PM 2.5 on hypertension prevalence were stronger among middle-aged, obese and urban participants. This national study indicated that long-term exposure to PM 2.5 was associated with increased prevalence of hypertension and slightly higher systolic BP in China. Copyright © 2017 Elsevier B.V. All rights reserved.
The relationship between different settings of medical service and incident frailty.
Bolzetta, Francesco; Wetle, Terrie; Besdine, Richard; Noale, Marianna; Cester, Alberto; Crepaldi, Gaetano; Maggi, Stefania; Veronese, Nicola
2018-07-15
Some studies have reported a potential association between usual source of health care and disability, but no one has explored the association with frailty, a state of early and potential reversible disability. We therefore aimed to explore the association between older persons' self-reported usual source of health care at baseline and the onset of frailty. Information regarding usual source of health care was captured through self-report and categorized as 1) private doctor's office, 2) public clinic, 3) Health Maintenance Organization (HMO), or 4) hospital clinic/emergency department (ED). Frailty was defined using the Study of Osteoporotic Fracture (SOF) index as the presence of at least two of the following criteria: (i) weight loss ≥5% between baseline and any subsequent follow-up visit; (ii) inability to do five chair stands; and (iii) low energy level according to the SOF definition. Multivariable Cox's regression analyses, calculating hazard ratios (HRs) with 95% confidence intervals (CIs), were undertaken. Of the 4292 participants (mean age: 61.3), 58.7% were female. During the 8-year follow-up, 348 subjects (8.1% of the baseline population) developed frailty. Cox's regression analysis, adjusting for 14 potential confounders showed that, compared to those using a private doctor's office, people using a public clinic for their care had a significantly higher risk of developing frailty (HR = 1.56; 95%CI: 1.07-2.70), similar to those using HMO (HR = 1.48; 95%CI: 1.03-2.24) and those using a hospital/ED (HR = 1.76; 95%CI: 1.03-3.02). Participants receiving health care from sources other than private doctors are at increased risk of frailty, highlighting the need for screening for frailty in these health settings. Copyright © 2018 Elsevier Inc. All rights reserved.
Klimek, Ludger; Schumacher, Helmut; Schütt, Tanja; Gräter, Heidemarie; Mueck, Tobias; Michel, Martin C
2017-02-01
The aim of this study was to explore factors affecting efficacy of treatment of common cold symptoms with an over-the-counter ibuprofen/pseudoephedrine combination product. Data from an anonymous survey among 1770 pharmacy customers purchasing the combination product for treatment of own common cold symptoms underwent post-hoc descriptive analysis. Scores of symptoms typically responsive to ibuprofen (headache, pharyngeal pain, joint pain and fever), typically responsive to pseudoephedrine (congested nose, congested sinus and runny nose), considered non-specific (sneezing, fatigue, dry cough, cough with expectoration) and comprising all 11 symptoms were analysed. Multiple regression analysis was applied to explore factors associated with greater reduction in symptom intensity or greater probability of experiencing a symptom reduction of at least 50%. After intake of first dose of medication, typically ibuprofen-sensitive, pseudoephedrine-responsive, non-specific and total symptoms were reduced by 60.0%, 46.3%, 45.4% and 52.8%, respectively. A symptom reduction of at least 50% was reported by 73.6%, 55.1%, 50.9% and 61.6% of participants, respectively. A high baseline score was associated with greater reductions in symptom scores but smaller probability of achieving an improvement of at least 50%. Across both multiple regression approaches, two tablets at first dosing were more effective than one and (except for ibuprofen-sensitive symptoms) starting treatment later than day 2 of the cold was generally less effective. Efficacy of an ibuprofen/pseudoephedrine combination in the treatment of common cold symptoms was dose-dependent and greatest when treatment started within the first 2 days after onset of symptoms. © 2016 The Authors. International Journal of Clinical Practice Published by John Wiley & Sons Ltd.
De Vogli, Roberto; Kouvonen, Anne; Gimeno, David
2014-02-01
To investigate the effect of fast food consumption on mean population body mass index (BMI) and explore the possible influence of market deregulation on fast food consumption and BMI. The within-country association between fast food consumption and BMI in 25 high-income member countries of the Organisation for Economic Co-operation and Development between 1999 and 2008 was explored through multivariate panel regression models, after adjustment for per capita gross domestic product, urbanization, trade openness, lifestyle indicators and other covariates. The possible mediating effect of annual per capita intake of soft drinks, animal fats and total calories on the association between fast food consumption and BMI was also analysed. Two-stage least squares regression models were conducted, using economic freedom as an instrumental variable, to study the causal effect of fast food consumption on BMI. After adjustment for covariates, each 1-unit increase in annual fast food transactions per capita was associated with an increase of 0.033 kg/m2 in age-standardized BMI (95% confidence interval, CI: 0.013-0.052). Only the intake of soft drinks--not animal fat or total calories--mediated the observed association (β: 0.030; 95% CI: 0.010-0.050). Economic freedom was an independent predictor of fast food consumption (β: 0.27; 95% CI: 0.16-0.37). When economic freedom was used as an instrumental variable, the association between fast food and BMI weakened but remained significant (β: 0.023; 95% CI: 0.001-0.045). Fast food consumption is an independent predictor of mean BMI in high-income countries. Market deregulation policies may contribute to the obesity epidemic by facilitating the spread of fast food.
Prevalence of kidney stones and associated risk factors in the Shunyi District of Beijing, China.
Jiang, Y G; He, L H; Luo, G T; Zhang, X D
2017-10-01
Kidney stone formation is a multifactorial condition that involves interaction of environmental and genetic factors. Presence of kidney stones is strongly related to other diseases, which may result in a heavy economic and social burden. Clinical data on the prevalence and influencing factors in kidney stone disease in the north of China are scarce. In this study, we explored the prevalence of kidney stone and potentially associated risk factors in the Shunyi District of Beijing, China. A population-based cross-sectional study was conducted from December 2011 to November 2012 in a northern area of China. Participants were interviewed in randomly selected towns. Univariate analysis of continuous and categorical variables was first performed by calculation of Spearman's correlation coefficient and Pearson Chi squared value, respectively. Variables with statistical significance were further analysed by multivariate logistic regression to explore the potential influencing factors. A total of 3350 participants (1091 males and 2259 females) completed the survey and the response rate was 99.67%. Among the participants, 3.61% were diagnosed with kidney stone. Univariate analysis showed that significant differences were evident in 31 variables. Blood and urine tests were performed in 100 randomly selected patients with kidney stone and 100 healthy controls. Serum creatinine, calcium, and uric acid were significantly different between the patients with kidney stone and healthy controls. Multivariate logistic regression revealed that being male (odds ratio=102.681; 95% confidence interval, 1.062-9925.797), daily intake of white spirits (6.331; 1.204-33.282), and a history of urolithiasis (1797.775; 24.228-133 396.982) were factors potentially associated with kidney stone prevalence. Male gender, drinking white spirits, and a history of urolithiasis are potentially associated with kidney stone formation.
Grey, J M; Totsika, V; Hastings, R P
2018-06-01
Little is known about the role of living circumstances to the perception of subjective well-being (SWB) and health of adults with intellectual disability (ID). The aim of the present study was to examine whether living circumstances impact differently on the perception of health and SWB and whether potential differences persist after accounting for other variables (e.g. level of support needs and reporting method). Secondary data analysis was undertaken of a large national survey of adults with an ID in England, aged 16 years and over. Participants were identified as living with family (N = 1528) or living out of home (N = 874). The results of t-test and chi-square revealed that levels of health and SWB were perceived as being higher for people living with family than those living in out-of-home settings. Multiple linear regression analyses fitted to explore factors associated with these reported differences revealed that, when controlling for other variables, living with family was highly associated with reports of better SWB. Multiple logistic regression revealed that whilst the health status of people living with families were perceived as better, this was only true when their support needs were low. Poorest health outcomes were found for people with highest support needs who lived with family. On the whole, the health and well-being of adults living with family were perceived more positively than those living out of home. However, potential health disparities exist for those with high support needs who live with family. Further longitudinal research is needed to explore causes and potential solution to these inequalities. © 2018 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.
Rodd, Celia; Sharma, Atul K
2017-06-01
We recently reported an encouraging decline in the prevalence of overweight (OW) or obesity (OB) in Canadian children from 31% to 27% with stabilization in OB rates at ~13% using national survey data between 2004 and 2013. Although rates were lower for toddlers, girls and those of European (White) race-ethnicity, secular trends persisted after adjustment. In this follow-up study, we explored the ability of socioeconomic status to explain or modify these relationships using the same data set. We analyzed a decade of anthropometric data from 14,014 children aged 3 to 19 years. We explored the influence of income adequacy, education, immigration status, family type (e.g., single-parent) and geographic region by multivariable logistic regression. Data sets included Canadian Community Health Survey cycle 2.2 and Canadian Health Measures Surveys cycles 2 and 3. Children from higher-income families fared better than their lower-income counterparts in each survey era and demonstrated a significant decline in OW/OB from 29.1% (95% confidence interval [CI]: 27.3 to 30.8) in 2004 to 2005 to 22.2% (95% CI: 19.8 to 24.6) in 2012 to 2013, P<0.001. Regression models confirmed the effects of time, age, sex, race, income, education, immigration and region. Although single-parent families did less well in univariate analyses, this effect vanished after adjustment for other socioeconomic status variables, such as income and education. Regional variations persisted, with lower rates of OB and OW/OB in British Columbia and higher rates in Atlantic Canada. These results confirm that progress is possible against this important public health challenge, underline the need to better understand sociodemographic risk factors and identify groups at higher risk for possible interventions.
Gálvez, Verònica; Li, Adrienne; Oxley, Cristal; Waite, Susan; De Felice, Nick; Hadzi-Pavlovic, Dusan; Kumar, Divya; Page, Andrew C; Hooke, Geoff; Loo, Colleen K
2016-12-01
Prior research has shown large improvements in HRQOL after a course of ECT for depression. However, the effect of different types of ECT on HRQOL outcomes has not been explored. This is important due to the considerable range of ECT treatment modalities that currently exist in clinical practice. HRQOL data from 355 depressed patients in three Australian clinical hospitals, who received ECT given with a range of treatment modalities (combinations of pulse-width and electrode-placement), were analysed. HRQOL was measured at baseline and after ECT, using the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF). The association between type of ECT and HRQOL after ECT was examined by regression analysis, controlling for variables that may affect HRQOL outcomes. There was a significant increase in HRQOL scores after ECT (p<0.0001; t=-23.4). The magnitude of change was large (54% increase, Cohen's d=1.43). Multiple regression analysis yielded a significant model (P<0.001, R 2 =0.18). Baseline HRQOL score (t=4.83; p<0.0001), age (t=2.75, p<0.01) and type of ECT received [Right Unilateral brief vs Bitemporal Ultrabrief (t=-2.99; p<0.01) and Right Unilateral brief vs Bifrontal Ultrabrief (t=-2.70; p<0.01)] were significant predictors of HRQOL after the ECT course. Data was collected naturalistically from clinical services, thus ECT modality was not randomly assigned. Site could have confounded results. An acute course of ECT for depression produced statistically and clinically significant improvements in HRQOL. ECT treatment modality can substantially impact HRQOL outcomes, with the possibility of bilateral ultrabrief forms of ECT being less beneficial. Copyright © 2016 Elsevier B.V. All rights reserved.
Prevalence and associated factors for decreased appetite among patients with stable heart failure.
Andreae, Christina; Strömberg, Anna; Årestedt, Kristofer
2016-06-01
To explore the prevalence of decreased appetite and factors associated with appetite among patients with stable heart failure. Decreased appetite is an important factor for the development of undernutrition among patients with heart failure, but there are knowledge gaps about prevalence and the factors related to appetite in this patient group. Observational, cross-sectional study. A total of 186 patients with mild to severe heart failure were consecutively recruited from three heart failure outpatient clinics. Data were obtained from medical records (heart failure diagnosis, comorbidity and medical treatment) and self-rated questionnaires (demographics, appetite, self-perceived health, symptoms of depression and sleep). Blood samples were taken to determine myocardial stress and nutrition status. Heart failure symptoms and cognitive function were assessed by clinical examinations. The Council on Nutrition Appetite Questionnaire was used to assess self-reported appetite. Bivariate correlations and multivariate linear regression analyses were conducted to explore factors associated with appetite. Seventy-one patients (38%) experienced a loss of appetite with a significant risk of developing weight loss. The final multiple regression model showed that age, symptoms of depression, insomnia, cognitive function and pharmacological treatment were associated with appetite, explaining 27% of the total variance. In this cross-sectional study, a large share of patients with heart failure was affected by decreased appetite, associated with demographic, psychosocial and medical factors. Loss of appetite is a prevalent problem among patients with heart failure that may lead to undernutrition. Health care professionals should routinely assess appetite and discuss patients' experiences of appetite, nutrition intake and body weight and give appropriate nutritional advice with respect to individual needs. © 2016 John Wiley & Sons Ltd.
Artacho-Cordón, Francisco; León, Josefa; Sáenz, José M; Fernández, Mariana F; Martin-Olmedo, Piedad; Olea, Nicolás; Arrebola, Juan P
2016-12-20
Despite growing in vitro and in vivo evidence of the putative role of persistent organic pollutants (POPs) in the induction of oxidative damage in cell structures, this issue has been poorly addressed from an epidemiologic perspective. The aim of this study was to explore associations between adipose tissue POP concentrations and the in situ oxidative microenvironment. A cross-sectional study was conducted in a subsample (n = 271) of a previously established cohort, quantifying levels of eight POPs and four groups of oxidative stress biomarkers in adipose tissue. Associations were explored using multivariate linear regression analyses adjusted for potential confounders. We assessed the combined effect of POPs on oxidative stress/glutathione system biomarkers using weighted quantile sum regression (WQS). Increased concentrations of p,p'-DDE, HCB, β-HCH, dicofol, and PCBs (congeners -138, -153, and -180) were predominantly associated with higher lipid peroxidation (TBARS) [exp(β) = 1.09-1.78, p < 0.01-0.04)] and SOD activity [exp(β) = 1.13-1.48, p < 0.01-0.05)] levels. However, only a few associations were observed with glutathione system biomarkers, e.g., PCB-180 with total glutathione [exp(β) = 1.98, p = 0.03]. The WQS index was found to be positively associated with SOD activity, and PCB-138, PCB-180, and β-HCH were the main contributors to the index. Likewise, the WQS index was positively associated with TBARS levels, with the three PCBs acting as the main contributors. This is the first epidemiological evidence of the putative disruption by POPs of the adipose tissue oxidative microenvironment. Our results indicate that POP exposure may enhance alternative pathways to the glutathione detoxification route, which might result in tissue damage. Further research is warranted to fully elucidate the potential health implications.
Santos Tavares Silva, I; Sunnerhagen, K S; Willén, C; Ottenvall Hammar, I
2016-11-18
Fatigue is reported as one of the most disabling symptoms and is common among persons living with late effects of polio. Although fatigue has been studied in the context of people living with late effects of polio, there is a lack of knowledge concerning the association of fatigue and variables of importance for participation in daily life. Therefore, the aim of this study was to explore possible factors associated with fatigue among persons with late effects of polio in Sweden. This retrospective registry study consisted of 89 persons with late effects of polio living in Sweden. Fatigue was measured with the Multidimensional Fatigue Inventory (MFI-20) scale, Swedish version. Pearson's correlation coefficient was used to analyse the correlation between the factors and fatigue, and a multiple linear regression was carried out to explore factors for fatigue. Fatigue statistically significantly correlated with age (r = 0.234, p < 0.05) and the use of mobility assistive devices (r = 0.255, p < 0.05). The multiple linear regression model showed that the factors age (β = 0.304, p < 0.019) and mobility assistive devices (β = 0.262, p < 0.017) were associated with fatigue among persons living with late effects of polio, and the model partly explained 14% of the variation of fatigue. Fatigue could partly be explained by the extent of using mobility assistive devices and age. Healthcare professionals should provide and demonstrate the importance of assistive devices to ensure management of fatigue in persons living with late effects of polio.
NASA Astrophysics Data System (ADS)
Tsai, Meng-Jung; Hsu, Chung-Yuan; Tsai, Chin-Chung
2012-04-01
Due to a growing trend of exploring scientific knowledge on the Web, a number of studies have been conducted to highlight examination of students' online searching strategies. The investigation of online searching generally employs methods including a survey, interview, screen-capturing, or transactional logs. The present study firstly intended to utilize a survey, the Online Information Searching Strategies Inventory (OISSI), to examine users' searching strategies in terms of control, orientation, trial and error, problem solving, purposeful thinking, selecting main ideas, and evaluation, which is defined as implicit strategies. Second, this study conducted screen-capturing to investigate the students' searching behaviors regarding the number of keywords, the quantity and depth of Web page exploration, and time attributes, which is defined as explicit strategies. Ultimately, this study explored the role that these two types of strategies played in predicting the students' online science information searching outcomes. A total of 103 Grade 10 students were recruited from a high school in northern Taiwan. Through Pearson correlation and multiple regression analyses, the results showed that the students' explicit strategies, particularly the time attributes proposed in the present study, were more successful than their implicit strategies in predicting their outcomes of searching science information. The participants who spent more time on detailed reading (explicit strategies) and had better skills of evaluating Web information (implicit strategies) tended to have superior searching performance.
Valentijn, Pim P; Vrijhoef, Hubertus J M; Ruwaard, Dirk; de Bont, Antoinette; Arends, Rosa Y; Bruijnzeels, Marc A
2015-01-22
Forming partnerships is a prominent strategy used to promote integrated service delivery across health and social service systems. Evidence about the collaboration process upon which partnerships evolve has rarely been addressed in an integrated-care setting. This study explores the longitudinal relationship of the collaboration process and the influence on the final perceived success of a partnership in such a setting. The collaboration process through which partnerships evolve is based on a conceptual framework which identifies five themes: shared ambition, interests and mutual gains, relationship dynamics, organisational dynamics and process management. Fifty-nine out of 69 partnerships from a national programme in the Netherlands participated in this survey study. At baseline, 338 steering committee members responded, and they returned 320 questionnaires at follow-up. Multiple-regression-analyses were conducted to explore the relationship between the baseline as well as the change in the collaboration process and the final success of the partnerships. Mutual gains and process management were the most significant baseline predictors for the final success of the partnership. A positive change in the relationship dynamics had a significant effect on the final success of a partnership. Insight into the collaboration process of integrated primary care partnerships offers a potentially powerful way of predicting their success. Our findings underscore the importance of monitoring the collaboration process during the development of the partnerships in order to achieve their full collaborative advantage.
Kounadi, Ourania; Lampoltshammer, Thomas J; Groff, Elizabeth; Sitko, Izabela; Leitner, Michael
2015-01-01
Crime is an ubiquitous part of society. The way people express their concerns about crimes has been of particular interest to the scientific community. Over time, the numbers and kinds of available communication channels have increased. Today, social media services, such Twitter, present a convenient way to express opinions and concerns about crimes. The main objective of this study is to explore people's perception of homicides, specifically, how the characteristics and proximity of the event affect the public's concern about it. The analysis explores Twitter messages that refer to homicides that occurred in London in 2012. In particular, the dependence of tweeting propensity on the proximity, in space and time, of a crime incident and of people being concerned about that particular incident are examined. Furthermore, the crime characteristics of the homicides are analysed using logistic regression analysis. The results show that the proximity of the Twitter users' estimated home locations to the homicides' locations impacts on whether the associated crime news is spread or not and how quickly. More than half of the homicide related tweets are sent within the first week and the majority of them are sent within a month of the incident's occurrence. Certain crime characteristics, including the presence of a knife, a young victim, a British victim, or a homicide committed by a gang are predictors of the crime-tweets posting frequency.