Environmental Literacy in Madeira Island (Portugal): The Influence of Demographic Variables

ERIC Educational Resources Information Center

Spinola, Hélder

2016-01-01

Demographic factors are among those that influence environmental literacy and, particularly, environmentally responsible behaviours, either directly or due to an aggregation effect dependent on other types of variables. Present study evaluates a set of demographic variables as predictors for environmental literacy among 9th grade students from…

Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites across Demographic and Food Variables

PubMed Central

Shen, Yiru; Salley, James; Muth, Eric; Hoover, Adam

2017-01-01

This paper describes a study to test the accuracy of a method that tracks wrist motion during eating to detect and count bites. The purpose was to assess its accuracy across demographic (age, gender, ethnicity) and bite (utensil, container, hand used, food type) variables. Data were collected in a cafeteria under normal eating conditions. A total of 271 participants ate a single meal while wearing a watch-like device to track their wrist motion. Video was simultaneously recorded of each participant and subsequently reviewed to determine the ground truth times of bites. Bite times were operationally defined as the moment when food or beverage was placed into the mouth. Food and beverage choices were not scripted or restricted. Participants were seated in groups of 2–4 and were encouraged to eat naturally. A total of 24,088 bites of 374 different food and beverage items were consumed. Overall the method for automatically detecting bites had a sensitivity of 75% with a positive predictive value of 89%. A range of 62–86% sensitivity was found across demographic variables, with slower eating rates trending towards higher sensitivity. Variations in sensitivity due to food type showed a modest correlation with the total wrist motion during the bite, possibly due to an increase in head-towards-plate motion and decrease in hand-towards-mouth motion for some food types. Overall, the findings provide the largest evidence to date that the method produces a reliable automated measure of intake during unrestricted eating. PMID:28113994

Personality Traits and Socio-Demographic Variables as Correlates of Counselling Effectiveness of Counsellors in Enugu State, Nigeria

ERIC Educational Resources Information Center

Onyekuru, Bruno U.; Ibegbunam, Josephat

2015-01-01

Quality personality traits and socio-demographic variables are essential elements of effective counselling. This correlational study investigated personality traits and socio-demographic variables as predictors of counselling effectiveness of counsellors in Enugu State. The instruments for data collection were Personality Traits Assessment Scale…

Demographic Characteristics of Applicants to, and Students of, Ontario Physiotherapy Education Programs, 2004-2014: Trends in Gender, Geographical Location, Aboriginal Identity, and Immigrant Status.

PubMed

Coghlan, Cara M; Mallinger, Hilary; McFadden, Alison; Richard, Jocelynn; Stern, Arlee; Norman, Kathleen E

2017-01-01

Purpose: The authors analyzed the demographics of potential future physiotherapists to determine whether they were representative of the Canadian population. The specific objectives were to examine selected demographic variables from all applicants to and students in Ontario English-language Master of Physical Therapy programmes in admission cycles 2004-2014, inclusive, and to analyze the results as compared with Canadian population data. Method: Anonymized applicant records ( n =14,135) were obtained for admission cycles 2004-2014, inclusive. Variables examined for applicants and students included their gender, geographical location from Canadian and international regions, Aboriginal identity, and immigrant status. A descriptive analysis of counts and proportions was conducted for all variables. Results: The majority of applicants were women (70%), from southern Ontario (73%), and Canadian born (82%). Aboriginal and rural applicants made up small proportions of the applicant pool (1% and 12%, respectively). The number of applicants from British Columbia was proportionally high relative to those from other Canadian provinces. Conclusion: Although Ontario's physiotherapy education programmes remain female dominated, the demographics of applicants and students are otherwise mostly representative of the diverse Canadian population, although very low in the number of Aboriginal peoples. Further research is needed to understand the diversity and composition of the Canadian physiotherapy workforce.

Using Remote Sensing, Weather, and Demographic Data to Create Risk Maps for Zika, Dengue, and Chikungunya in Brazil

NASA Astrophysics Data System (ADS)

Manore, C.; Conrad, J.; Del Valle, S.; Ziemann, A.; Fairchild, G.; Generous, E. N.

2017-12-01

Mosquito-borne diseases such as Zika, dengue, and chikungunya viruses have dynamics coupled to weather, ecology, human infrastructure, socio-economic demographics, and behavior. We use time-varying remote sensing and weather data, along with demographics and ecozones to predict risk through time for Zika, dengue, and chikungunya outbreaks in Brazil. We use distributed lag methods to quantify the lag between outbreaks and weather. Our statistical model indicates that the relationships between the variables are complex, but that quantifying risk is possible with the right data at appropriate spatio-temporal scales.

Comparing demographic, health status and psychosocial strategies of audience segmentation to promote physical activity.

PubMed

Boslaugh, Sarah E; Kreuter, Matthew W; Nicholson, Robert A; Naleid, Kimberly

2005-08-01

The goal of audience segmentation is to identify population subgroups that are homogeneous with respect to certain variables associated with a given outcome or behavior. When such groups are identified and understood, targeted intervention strategies can be developed to address their unique characteristics and needs. This study compares the results of audience segmentation for physical activity that is based on either demographic, health status or psychosocial variables alone, or a combination of all three types of variables. Participants were 1090 African-American and White adults from two public health centers in St Louis, MO. Using a classification-tree algorithm to form homogeneous groups, analyses showed that more segments with greater variability in physical activity were created using psychosocial versus health status or demographic variables and that a combination of the three outperformed any individual set of variables. Simple segmentation strategies such as those relying on demographic variables alone provided little improvement over no segmentation at all. Audience segmentation appears to yield more homogeneous subgroups when psychosocial and health status factors are combined with demographic variables.

[Integration of demographic variables into development plans in the Sahel].

PubMed

Wane, H R

1992-07-01

A founding principle of the Program of Action of N'Djamena is the interdependence of population and development and the need for development strategies to take demographic factors into account. The concept of integration of population variables into development has evolved since its introduction in the 1974 World Population Plan of Action from a simple description of population size, growth rates, and distribution to a stress on harmonizing population policies and development policies with macroeconomic variables. The essence of the concept is the consideration given by development policies and programs to the interrelations between population, resources, the environment, and development factors. Population variables and goals should ideally be treated as endogenous variables in development planning, but in practice the extreme complexity of such a systematic approach limits its ability to be made operational. Usually the most crucial problems only are included. Integrated planning is composed of explicit or implicit population policies intended to influence demographic variables and of socioeconomic policies intended to adapt to demographic change. In the Sahel, only Senegal, Burkina Faso, and Mali have formal population policies, but around 1980 several countries of the region began to show interest in influencing demographic variables as they did economic variables. Fundamental principles for developing an integration strategy can be applied regardless or whether the plan is based on projections, analysis of interaction of a demographic variable with factors specific to a sector, or a monosectorial or multisectorial demoeconomic planning model. Demographic data is used more frequently in diagnosing problems than in developing projections or formulating objectives. The level of disaggregation of demographic projections and estimates tends to be low, despite the great potential utility of demographic projections in planning. Demographic projections can be useful in analyses of the extent of changes and the implications of alternative scenarios of development planning. The most frequently used demographic variables in development planning have been spatial distribution of the population and mortality. An examination of past development plans in Mali relating to population and nutrition and population and health reveals several inconsistencies between stated goals and strategies intended to achieve them. The incoherence can be explained in part by the absence of a coherent national population policy, the failure to translate the population policy into programs that take into account reciprocal effects of demographic trends and economic perspectives and their social effects, and the absence of disaggregated population projections. An example from Senegal demonstrates the constraints imposed by structural adjustment programs on the entire planning process.

Attitudes toward Money and Demographic Variables as Related to Income and Life Satisfaction: USA Vs. Spain.

ERIC Educational Resources Information Center

Tang, Thomas Li-Ping; Arocas, Roberto Luna; Whiteside, Harold D.

A study of 207 faculty at a state university in the southeastern United States and 102 faculty members at the University of Valencia (Spain) examined demographic variables and attitudes toward money, income, and life satisfaction. Demographic variables (sex, age, education, marital status, race, current job experience, total work experience, and…

Who theorizes age? The "socio-demographic variables" device and age-period-cohort analysis in the rhetoric of survey research.

PubMed

Rughiniș, Cosima; Humă, Bogdana

2015-12-01

In this paper we argue that quantitative survey-based social research essentializes age, through specific rhetorical tools. We outline the device of 'socio-demographic variables' and we discuss its argumentative functions, looking at scientific survey-based analyses of adult scientific literacy, in the Public Understanding of Science research field. 'Socio-demographics' are virtually omnipresent in survey literature: they are, as a rule, used and discussed as bundles of independent variables, requiring little, if any, theoretical and measurement attention. 'Socio-demographics' are rhetorically effective through their common-sense richness of meaning and inferential power. We identify their main argumentation functions as 'structure building', 'pacification', and 'purification'. Socio-demographics are used to uphold causal vocabularies, supporting the transmutation of the descriptive statistical jargon of 'effects' and 'explained variance' into 'explanatory factors'. Age can also be studied statistically as a main variable of interest, through the age-period-cohort (APC) disambiguation technique. While this approach has generated interesting findings, it did not mitigate the reductionism that appears when treating age as a socio-demographic variable. By working with age as a 'socio-demographic variable', quantitative researchers convert it (inadvertently) into a quasi-biological feature, symmetrical, as regards analytical treatment, with pathogens in epidemiological research. Copyright © 2015 Elsevier Inc. All rights reserved.

Understanding Suicide Risk: Identification of High Risk Groups during High Risk Times

PubMed Central

Overholser, James C.; Braden, Abby; Dieter, Lesa

2012-01-01

Background The assessment of suicide risk is a complex task for mental health professionals. Certain demographic groups are associated with completed suicide including males, divorced adults, and Caucasians. However, demographic variables alone provide a crude assessment of suicide risk. Psychiatric diagnosis and recent life events may improve the identification of high risk individuals. Method The current study evaluated 148 individuals who died by suicide compared to 257 adults who died suddenly from accidents or medical problems. Psychological autopsy was used to assess Axis I psychiatric diagnosis and recent stressful life events. Results Suicide completers were significantly more likely than comparison subjects to have a depressive disorder, a substance abuse disorder, and to have experienced interpersonal conflict in the months leading up to their death. A discriminant function analysis revealed that the combination of demographic variables, recent stressful life events, and psychiatric diagnoses best discriminated between suicide completers and comparison subjects. Conclusions Proper assessment of suicide risk should include a comprehensive evaluation of demographic characteristics, recent life stressors, and psychiatric diagnosis. PMID:22140004

Analysis of Binary Multivariate Longitudinal Data via 2-Dimensional Orbits: An Application to the Agincourt Health and Socio-Demographic Surveillance System in South Africa

PubMed Central

Visaya, Maria Vivien; Sherwell, David; Sartorius, Benn; Cromieres, Fabien

2015-01-01

We analyse demographic longitudinal survey data of South African (SA) and Mozambican (MOZ) rural households from the Agincourt Health and Socio-Demographic Surveillance System in South Africa. In particular, we determine whether absolute poverty status (APS) is associated with selected household variables pertaining to socio-economic determination, namely household head age, household size, cumulative death, adults to minor ratio, and influx. For comparative purposes, households are classified according to household head nationality (SA or MOZ) and APS (rich or poor). The longitudinal data of each of the four subpopulations (SA rich, SA poor, MOZ rich, and MOZ poor) is a five-dimensional space defined by binary variables (questions), subjects, and time. We use the orbit method to represent binary multivariate longitudinal data (BMLD) of each household as a two-dimensional orbit and to visualise dynamics and behaviour of the population. At each time step, a point (x, y) from the orbit of a household corresponds to the observation of the household, where x is a binary sequence of responses and y is an ordering of variables. The ordering of variables is dynamically rearranged such that clusters and holes associated to least and frequently changing variables in the state space respectively, are exposed. Analysis of orbits reveals information of change at both individual- and population-level, change patterns in the data, capacity of states in the state space, and density of state transitions in the orbits. Analysis of household orbits of the four subpopulations show association between (i) households headed by older adults and rich households, (ii) large household size and poor households, and (iii) households with more minors than adults and poor households. Our results are compared to other methods of BMLD analysis. PMID:25919116

Analysis of 4th Grade Students' Problem Solving Skills in Terms of Several Variables

ERIC Educational Resources Information Center

Sungur, Gülcan; Bal, Pervin Nedim

2016-01-01

The aim of this study is to examine if the level of primary school students in solving problems differs according to some demographic variables. The research is descriptive type in the general survey method, it was carried out with quantitative research techniques. The sample of the study consisted of 587 primary school students in Grade 4. The…

[The theory of the demographic transition as a reference for demo-economic models].

PubMed

Genne, M

1981-01-01

The aim of the theory of demographic transition (TTD) is to better understand the behavior and interrelationship of economic and demographic variables. There are 2 types of demo-economic models: 1) the malthusian models, which consider demographic variables as pure exogenous variables, and 2) the neoclassical models, which consider demographic variables as strictly endogenous. If TTD can explore the behavior of exogenous and endogenous demographic variables, it cannot demonstrate neither the relation nor the order of causality among the various demographic and economic variables, but it is simply the theoretical framework of a complex social and economic phenomenon which started in Europe in the 19th Century, and which today can be extended to developing countries. There are 4 stages in the TTD; the 1st stage is characterized by high levels of fecundity and mortality; the 2nd stage is characterized by high fecundity levels and declining mortality levels; the 3rd stage is characterized by declining fecundity levels and low mortality levels; the 4th stage is characterized by low fertility and mortality levels. The impact of economic variables over mortality and birth rates is evident for mortality rates, which decline earlier and at a greater speed than birth rates. According to reliable mathematical predictions, around the year 1987 mortality rates in developing countries will have reached the low level of European countries, and growth rate will be only 1.5%. If the validity of demo-economic models has not yet been established, TTD has clearly shown that social and economic development is the factor which influences demographic expansion.

Interest in dietary pattern, social capital, and psychological distress: a cross-sectional study in a rural Japanese community

PubMed Central

2013-01-01

Background Among life-style factors affecting mental health, dietary habits are becoming a public health concern in their relation to psychological distress and social capital. We examined associations between interest in dietary pattern, social capital, and psychological distress with a population-based cross-sectional study in rural Japan. Methods A total of 16,996 residents of a rural town in northern Japan aged 30–79 years participated in this questionnaire survey. The questionnaire gathered data about socio-demographic variables, psychological distress, issues related to dietary habits, including interest in dietary pattern, and the social capital factors of reciprocity and sense of community belonging. Factors related to psychological distress were analyzed by using multiple logistic regression analysis. Results A high interest in dietary pattern was significantly associated with a high level of social capital. In addition, an association between interest in dietary pattern and frequencies of intake of vegetables and fruits was confirmed. The multiple logistic regression analyses showed significant associations between interest in dietary pattern, social capital, frequency of intake of vegetables, and psychological distress after adjusting for socio-demographic variables. Low interest in dietary pattern was positively associated with psychological distress after adjusting for socio-demographic variables (OR = 2.18; 95%CI: 1.69-2.81). Low levels of both reciprocity and sense of community belonging were associated with psychological distress after adjusting for socio-demographic variables (OR = 3.46 with 95%CI of 2.10–5.71 for reciprocity, and OR = 7.42 with 95%CI of 4.64–11.87 for sense of community belonging). Conclusion Low interest in dietary pattern, low frequency of intake of vegetables, and low levels of social capital were significantly associated with psychological distress after adjusting for socio-demographic variables. PMID:24099097

Tooth brushing frequency in Mexican schoolchildren and associated socio-demographic, socioeconomic, and dental variables

PubMed Central

Casanova-Rosado, Alejandro José; Medina-Solís, Carlo Eduardo; Casanova-Rosado, Juan Fernando; Vallejos-Sánchez, Ana Alicia; Minaya-Sánchez, Mirna; Mendoza-Rodríguez, Martha; Márquez-Rodríguez, Sonia; Maupomé, Gerardo

2014-01-01

Background Tooth brushing (with fluoridated toothpaste) is the most cost-effective intervention in dentistry and it is widely recommended to preserve good oral health. We aimed to determine the frequency of tooth brushing and the variables associated with this practice in schoolchildren living in southeast Mexico. Material/Methods A cross-sectional study was carried out in 1644 schoolchildren, 6 to 13 years old. Questionnaires with socio-demographic, socioeconomic, and dental variables were administered to mothers/guardians of children. The dependent variable was the frequency of tooth brushing, which was categorized as 0 = tooth brushing less than once a day and 1 = tooth brushing at least once a day. A logistic regression model was used to evaluate the final results. Results Mean age was 9.06±2.02 years and 49.1% were girls. The prevalence of tooth brushing at least once a day was 49.8%. In the multivariate model, characteristics related to tooth brushing frequency (p<0.05) were: older age (OR=1.11), being female (OR=1.64), having a larger family (OR=0.87), having had a visit to a dentist during the year preceding the study (OR=1.37), and having had fluoride applications by a professional (OR=1.39). Conclusions The results suggested that different variables (demographic, socioeconomic and dental) are associated with the frequency of tooth brushing. Family size (proxy variable for socioeconomic status) may indicate certain oral health inequalities in this population. PMID:24907713

Stress and coping among elderly African-Americans.

PubMed

Holt-Hill, Shirley Ann

2009-12-01

The purpose of this descriptive correlation was to examine the relationship between the amount of psychological stress experienced and the methods of coping with stress among elderly African-Americans. Demographic variables (age, gender, marital status, education, and occupation), personal resources (health, religion, and social support), and the effects of perception of racial discrimination were included to determine the relationship among the variables and to predict the perceived amount ofpsychological stress and the methods of coping. Subjects were males and females, who were community dwellers, between 65 to 88 years of age. Each subject completed four questionnaires: a Demographic Personal Data Questionnaire, the Short Portable Mental Status Questionnaire, the Stokes/Gordon Stress Scale, and the Ways of Coping Questionnaire. The data were analyzed by computing measures of central tendency, frequency, percentile, and measures of variability. Correlation and stepwise regression were used for predictions and to test null hypotheses. The findings indicated that elderly African-Americans experienced psychologically stressful events in their lives such as concerns for the world, slowing down, physical limitation, financial concerns, and not enough time with their children and grandchildren.

Using data mining to segment healthcare markets from patients' preference perspectives.

PubMed

Liu, Sandra S; Chen, Jie

2009-01-01

This paper aims to provide an example of how to use data mining techniques to identify patient segments regarding preferences for healthcare attributes and their demographic characteristics. Data were derived from a number of individuals who received in-patient care at a health network in 2006. Data mining and conventional hierarchical clustering with average linkage and Pearson correlation procedures are employed and compared to show how each procedure best determines segmentation variables. Data mining tools identified three differentiable segments by means of cluster analysis. These three clusters have significantly different demographic profiles. The study reveals, when compared with traditional statistical methods, that data mining provides an efficient and effective tool for market segmentation. When there are numerous cluster variables involved, researchers and practitioners need to incorporate factor analysis for reducing variables to clearly and meaningfully understand clusters. Interests and applications in data mining are increasing in many businesses. However, this technology is seldom applied to healthcare customer experience management. The paper shows that efficient and effective application of data mining methods can aid the understanding of patient healthcare preferences.

Attitudes of High School Teachers to Educational Research Using Classification-Tree Method

ERIC Educational Resources Information Center

Akcoltekin, Alpturk; Engin, Ali Osman; Sevgin, Hikmet

2017-01-01

Purpose: The main objective is to investigate high school teachers' attitudes relating to educational research with respect to demographic variables. Research Methods: The study is based on the relational screening model. Data was obtained through an adapted scale to determine high school teachers' attitudes toward educational research. The study…

The Impact of Different Demographic Variables on Determinants of University Choice Decision: A Study on Business Administration Students of the Foundation Universities in Istanbul

ERIC Educational Resources Information Center

Aydin, Oya Tamtekin; Bayir, Firat

2016-01-01

By examining the relevant literature, many factors can be determined as effecting factors on university choice process. However, existing literature does not fully explore the effect of demographic variables on these factors. This research is aimed at identifying the relationship between university selection criteria and demographic variables,…

An integrated modeling approach to estimating Gunnison Sage-Grouse population dynamics: combining index and demographic data.

USGS Publications Warehouse

Davis, Amy J.; Hooten, Mevin B.; Phillips, Michael L.; Doherty, Paul F.

2014-01-01

Evaluation of population dynamics for rare and declining species is often limited to data that are sparse and/or of poor quality. Frequently, the best data available for rare bird species are based on large-scale, population count data. These data are commonly based on sampling methods that lack consistent sampling effort, do not account for detectability, and are complicated by observer bias. For some species, short-term studies of demographic rates have been conducted as well, but the data from such studies are typically analyzed separately. To utilize the strengths and minimize the weaknesses of these two data types, we developed a novel Bayesian integrated model that links population count data and population demographic data through population growth rate (λ) for Gunnison sage-grouse (Centrocercus minimus). The long-term population index data available for Gunnison sage-grouse are annual (years 1953–2012) male lek counts. An intensive demographic study was also conducted from years 2005 to 2010. We were able to reduce the variability in expected population growth rates across time, while correcting for potential small sample size bias in the demographic data. We found the population of Gunnison sage-grouse to be variable and slightly declining over the past 16 years.

Validation of the Child Premorbid Intelligence Estimate method to predict premorbid Wechsler Intelligence Scale for Children-Fourth Edition Full Scale IQ among children with brain injury.

PubMed

Schoenberg, Mike R; Lange, Rael T; Saklofske, Donald H; Suarez, Mariann; Brickell, Tracey A

2008-12-01

Determination of neuropsychological impairment involves contrasting obtained performances with a comparison standard, which is often an estimate of premorbid IQ. M. R. Schoenberg, R. T. Lange, T. A. Brickell, and D. H. Saklofske (2007) proposed the Child Premorbid Intelligence Estimate (CPIE) to predict premorbid Full Scale IQ (FSIQ) using the Wechsler Intelligence Scale for Children-4th Edition (WISC-IV; Wechsler, 2003). The CPIE includes 12 algorithms to predict FSIQ, 1 using demographic variables and 11 algorithms combining WISC-IV subtest raw scores with demographic variables. The CPIE was applied to a sample of children with acquired traumatic brain injury (TBI sample; n = 40) and a healthy demographically matched sample (n = 40). Paired-samples t tests found estimated premorbid FSIQ differed from obtained FSIQ when applied to the TBI sample (ps .02). The demographic only algorithm performed well at a group level, but estimates were restricted in range. Algorithms combining single subtest scores with demographics performed adequately. Results support the clinical application of the CPIE algorithms. However, limitations to estimating individual premorbid ability, including statistical and developmental factors, must be considered. (c) 2008 APA, all rights reserved.

Factors influencing contraceptive use and non-use among women of advanced reproductive age in Nigeria.

PubMed

Solanke, Bola Lukman

2017-01-07

Factors influencing contraceptive use and non-use among women of advanced reproductive age have been insufficiently researched in Nigeria. This study examines factors influencing contraceptive use and non-use among women of advanced reproductive age in Nigeria. Secondary data were pooled and extracted from 2008 and 2013 Nigeria Demographic and Health Surveys (NDHS). The weighted sample size was 14,450 women of advanced reproductive age. The dependent variable was current contraceptive use. The explanatory variables were selected socio-demographic characteristics and three control variables. Analyses were performed using Stata version 12. Multinomial logistic regression was applied in four models. Majority of the respondents are not using any method of contraceptive; the expected risk of using modern contraceptive relative to traditional method reduces by a factor of 0.676 for multiparous women (rrr = 0.676; CI: 0.464-0.985); the expected risk of using modern contraceptive relative to traditional method reduces by a factor of 0.611 for women who want more children (rrr = 0.611; CI: 0.493-0.757); the relative risk for using modern contraceptive relative to traditional method increases by a factor of 1.637 as maternal education reaches secondary education (rrr = 1.637; CI: 1.173-2.285); the relative risk for using modern contraceptive relative to traditional method increases by a factor of 1.726 for women in richest households (rrr = 1.726; CI: 1.038-2.871); and the expected risk of using modern contraceptive relative to traditional method increases by a factor of 1.250 for southern women (rrr = 1.250; CI: 1.200-1.818). Socio-demographic characteristics exert more influence on non-use than modern contraceptive use. The scope, content and coverage of existing BCC messages should be extended to cover the contraceptive needs and challenges of women of advanced reproductive age in the country.

Characterizing hospital inpatients: the importance of demographics and attitudes.

PubMed

Danko, W D; Janakiramanan, B; Stanley, T J

1988-01-01

To compete effectively, hospital administrators must understand inpatients who are involved in hospital-choice decisions more clearly. To this end, a methodology is presented to measure and assess the importance of inpatients' personal attributes in predicting hospital selection. Empirical results show that demographic characteristics are poor--but attitudes are useful--segmentation variables that delineate differences between two particular hospitals' inpatients. More generally, the survey method and statistical procedures outlined are applicable (with slight modification) to markets with a greater number of competitors.

[Health status identification and their relationship with socieconomics and geographic characteristics: a population survey analysis in México].

PubMed

Vargas-Palacios, Armando; Gutiérrez, Juan Pablo; Carreón-Rodríguez, Víctor

2006-01-01

To estimate the effectiveness of using standardized health vignettes to adjust self-reported health taking into account household and community variables to correct for systematic bias. The national health survey "Evaluación del Desempeño 2002" (Mexican component of the World Health Survey) was used. This survey analyzed subject's health perception based on their responses to hypothetical questions referring to third parties in the vignettes within eight domains. Variations in responses were attributed to socio-demographic, socioeconomic, community, differences of the subjects. To assess those variations, an index for each domain was constructed and used as a variable in a series of linear regression models to estimate the relation between health perceptions, self-reported health, socioeconomic and socio-demographic characteristics. The health perception index derived from the vignettes showed a positive, logarithmic correlation with household expenditure for each health domain, after controlling for socio-demographic, health and community characteristics. No relationship was found between the health status described in the vignettes and self-reported health status. In no case was the explanatory power above 10%. The low explanatory power of the models, and the lack of correlation between self reported health status and the health perception index, suggest that the variability in the vignettes responses cannot be explained by differences in self-reported health status or socioeconomic and socio-demographic characteristics. These results from Mexico suggest that vignette-based methods to correct for systematic variability in perception of own health status are of limited efficacy and reinforce the importance of collecting objective measures of health status in health surveys.

Kindergarten Students' Levels of Understanding Some Science Concepts and Scientific Inquiry Processes According to Demographic Variables (The Sampling of Kilis Province in Turkey)

ERIC Educational Resources Information Center

Ilhan, Nail; Tosun, Cemal

2016-01-01

The purpose of this study is to identify the kindergarten students' levels of understanding some science concepts (LUSSC) and scientific inquiry processes (SIP) and compare their LUSSC and SIP in terms of some demographic variables. Also, another purpose of this study is to identify the predictive power of those demographic variables over the…

Parent-child communication and psychological adjustment in children with a brain tumor.

PubMed

Adduci, Annarita; Jankovic, Momcilo; Strazzer, Sandra; Massimino, Maura; Clerici, Carlo; Poggi, Geraldina

2012-08-01

Internalizing problems, anxiety, depression, withdrawal, and consequent social problems are frequently observed in children with brain tumors. The objective of this work is to describe the relationship between these psychological problems and the type of parent-child communication established about the disease. A group of 64 children surviving a brain tumor (aged 4-18 years) underwent psychological assessment by means of parent reports on the Child Behavior Checklist (CBCL) and the Vineland Adaptive Behavior Scales (VABS). A semi-structured interview with each child and their parents enabled us to classify the method of communication regarding the disease as "avoidance," "ineffective," and "effective." Demographic, clinical, and functional data relating to the disease were also collected. A significant relationship between the onset of Internalizing problems, withdrawal, anxiety-depression, and social problems and the presence of avoidance or ineffective communication about the disease was observed (P = 0.001, P = 0.001, P = 0.001, and P = 0.01, respectively). These psychological problems did not prove to be associated to demographic or clinical variables; however, they were found to be related to the children's residual functional problems. By contrast, the method of communication proved to be unrelated to clinical or functional variables, but it was associated to demographic variables such as sex and age at assessment. Effective (complete, truthful, consistent, comprehensible, gradual and continuous, and tailored) communication to the child about his/her condition proved to be associated with a better psychological outcome. Copyright © 2012 Wiley Periodicals, Inc.

Methods and Techniques of Revenue Forecasting.

ERIC Educational Resources Information Center

Caruthers, J. Kent; Wentworth, Cathi L.

1997-01-01

Revenue forecasting is the critical first step in most college and university budget-planning processes. While it seems a straightforward exercise, effective forecasting requires consideration of a number of interacting internal and external variables, including demographic trends, economic conditions, and broad social priorities. The challenge…

A National Reassessment: Exploring Variables that Predispose People with Disabilities to Vocational Rehabilitation Acceptance

ERIC Educational Resources Information Center

Wilson, Keith B.; Gines, Jason E.

2009-01-01

Vocational rehabilitation (VR) acceptance has been explored by many research teams over the last 30 years. However, none of the prior studies explored the multitude of demographic variables that may influence VR acceptance and the possible interactions of those variables with VR acceptance. Extrapolating demographic variables from the national…

Comparing Mammography Abnormality Features and Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy

PubMed Central

Burnside, Elizabeth S.; Liu, Jie; Wu, Yirong; Onitilo, Adedayo A.; McCarty, Catherine; Page, C. David; Peissig, Peggy; Trentham-Dietz, Amy; Kitchner, Terrie; Fan, Jun; Yuan, Ming

2015-01-01

Rationale and Objectives The discovery of germline genetic variants associated with breast cancer has engendered interest in risk stratification for improved, targeted detection and diagnosis. However, there has yet to be a comparison of the predictive ability of these genetic variants with mammography abnormality descriptors. Materials and Methods Our IRB-approved, HIPAA-compliant study utilized a personalized medicine registry in which participants consented to provide a DNA sample and participate in longitudinal follow-up. In our retrospective, age-matched, case-controlled study of 373 cases and 395 controls who underwent breast biopsy, we collected risk factors selected a priori based on the literature including: demographic variables based on the Gail model, common germline genetic variants, and diagnostic mammography findings according to BI-RADS. We developed predictive models using logistic regression to determine the predictive ability of: 1) demographic variables, 2) 10 selected genetic variants, or 3) mammography BI-RADS features. We evaluated each model in turn by calculating a risk score for each patient using 10-fold cross validation; used this risk estimate to construct ROC curves; and compared the AUC of each using the DeLong method. Results The performance of the regression model using demographic risk factors was not statistically different from the model using genetic variants (p=0.9). The model using mammography features (AUC = 0.689) was superior to both the demographic model (AUC = .598; p<0.001) and the genetic model (AUC = .601; p<0.001). Conclusion BI-RADS features exceeded the ability of demographic and 10 selected germline genetic variants to predict breast cancer in women recommended for biopsy. PMID:26514439

Risk-adjusted capitation based on the Diagnostic Cost Group Model: an empirical evaluation with health survey information.

PubMed Central

Lamers, L M

1999-01-01

OBJECTIVE: To evaluate the predictive accuracy of the Diagnostic Cost Group (DCG) model using health survey information. DATA SOURCES/STUDY SETTING: Longitudinal data collected for a sample of members of a Dutch sickness fund. In the Netherlands the sickness funds provide compulsory health insurance coverage for the 60 percent of the population in the lowest income brackets. STUDY DESIGN: A demographic model and DCG capitation models are estimated by means of ordinary least squares, with an individual's annual healthcare expenditures in 1994 as the dependent variable. For subgroups based on health survey information, costs predicted by the models are compared with actual costs. Using stepwise regression procedures a subset of relevant survey variables that could improve the predictive accuracy of the three-year DCG model was identified. Capitation models were extended with these variables. DATA COLLECTION/EXTRACTION METHODS: For the empirical analysis, panel data of sickness fund members were used that contained demographic information, annual healthcare expenditures, and diagnostic information from hospitalizations for each member. In 1993, a mailed health survey was conducted among a random sample of 15,000 persons in the panel data set, with a 70 percent response rate. PRINCIPAL FINDINGS: The predictive accuracy of the demographic model improves when it is extended with diagnostic information from prior hospitalizations (DCGs). A subset of survey variables further improves the predictive accuracy of the DCG capitation models. The predictable profits and losses based on survey information for the DCG models are smaller than for the demographic model. Most persons with predictable losses based on health survey information were not hospitalized in the preceding year. CONCLUSIONS: The use of diagnostic information from prior hospitalizations is a promising option for improving the demographic capitation payment formula. This study suggests that diagnostic information from outpatient utilization is complementary to DCGs in predicting future costs. PMID:10029506

Demographically Adjusted Groups for Equating Test Scores. Research Report. ETS RR-14-30

ERIC Educational Resources Information Center

Livingston, Samuel A.

2014-01-01

In this study, I investigated 2 procedures intended to create test-taker groups of equal ability by poststratifying on a composite variable created from demographic information. In one procedure, the stratifying variable was the composite variable that best predicted the test score. In the other procedure, the stratifying variable was the…

Predictors and moderators of response to cognitive behavioral therapy and medication for the treatment of binge eating disorder.

PubMed

Grilo, Carlos M; Masheb, Robin M; Crosby, Ross D

2012-10-01

To examine predictors and moderators of response to cognitive behavioral therapy (CBT) and medication treatments for binge-eating disorder (BED). 108 BED patients in a randomized double-blind placebo-controlled trial testing CBT and fluoxetine treatments were assessed prior, throughout, and posttreatment. Demographic factors, psychiatric and personality disorder comorbidity, eating disorder psychopathology, psychological features, and 2 subtyping methods (negative affect, overvaluation of shape/weight) were tested as predictors and moderators for the primary outcome of remission from binge eating and 4 secondary dimensional outcomes (binge-eating frequency, eating disorder psychopathology, depression, and body mass index). Mixed-effects models analyzed all available data for each outcome variable. In each model, effects for baseline value and treatment were included with tests of both prediction and moderator effects. Several demographic and clinical variables significantly predicted and/or moderated outcomes. One demographic variable signaled a statistical advantage for medication only (younger participants had greater binge-eating reductions), whereas several demographic and clinical variables (lower self-esteem, negative affect, and overvaluation of shape/weight) signaled better improvements if receiving CBT. Overvaluation was the most salient predictor/moderator of outcomes. Overvaluation significantly predicted binge-eating remission (29% of participants with vs. 57% of participants without overvaluation remitted). Overvaluation was especially associated with lower remission rates if receiving medication only (10% vs. 42% for participants without overvaluation). Overvaluation moderated dimensional outcomes: Participants with overvaluation had significantly greater reductions in eating disorder psychopathology and depression levels if receiving CBT. Overvaluation predictor/moderator findings persisted after controlling for negative affect. Our findings have clinical utility for prescription of CBT and medication and implications for refinement of the BED diagnosis. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Nonparametric bootstrap analysis with applications to demographic effects in demand functions.

PubMed

Gozalo, P L

1997-12-01

"A new bootstrap proposal, labeled smooth conditional moment (SCM) bootstrap, is introduced for independent but not necessarily identically distributed data, where the classical bootstrap procedure fails.... A good example of the benefits of using nonparametric and bootstrap methods is the area of empirical demand analysis. In particular, we will be concerned with their application to the study of two important topics: what are the most relevant effects of household demographic variables on demand behavior, and to what extent present parametric specifications capture these effects." excerpt

Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.

PubMed

Ring, Caroline L; Pearce, Robert G; Setzer, R Woodrow; Wetmore, Barbara A; Wambaugh, John F

2017-09-01

The thousands of chemicals present in the environment (USGAO, 2013) must be triaged to identify priority chemicals for human health risk research. Most chemicals have little of the toxicokinetic (TK) data that are necessary for relating exposures to tissue concentrations that are believed to be toxic. Ongoing efforts have collected limited, in vitro TK data for a few hundred chemicals. These data have been combined with biomonitoring data to estimate an approximate margin between potential hazard and exposure. The most "at risk" 95th percentile of adults have been identified from simulated populations that are generated either using standard "average" adult human parameters or very specific cohorts such as Northern Europeans. To better reflect the modern U.S. population, we developed a population simulation using physiologies based on distributions of demographic and anthropometric quantities from the most recent U.S. Centers for Disease Control and Prevention National Health and Nutrition Examination Survey (NHANES) data. This allowed incorporation of inter-individual variability, including variability across relevant demographic subgroups. Variability was analyzed with a Monte Carlo approach that accounted for the correlation structure in physiological parameters. To identify portions of the U.S. population that are more at risk for specific chemicals, physiologic variability was incorporated within an open-source high-throughput (HT) TK modeling framework. We prioritized 50 chemicals based on estimates of both potential hazard and exposure. Potential hazard was estimated from in vitro HT screening assays (i.e., the Tox21 and ToxCast programs). Bioactive in vitro concentrations were extrapolated to doses that produce equivalent concentrations in body tissues using a reverse dosimetry approach in which generic TK models are parameterized with: 1) chemical-specific parameters derived from in vitro measurements and predicted from chemical structure; and 2) with physiological parameters for a virtual population. For risk-based prioritization of chemicals, predicted bioactive equivalent doses were compared to demographic-specific inferences of exposure rates that were based on NHANES urinary analyte biomonitoring data. The inclusion of NHANES-derived inter-individual variability decreased predicted bioactive equivalent doses by 12% on average for the total population when compared to previous methods. However, for some combinations of chemical and demographic groups the margin was reduced by as much as three quarters. This TK modeling framework allows targeted risk prioritization of chemicals for demographic groups of interest, including potentially sensitive life stages and subpopulations. Published by Elsevier Ltd.

Poor environmental tracking can make extinction risk insensitive to the colour of environmental noise

PubMed Central

van de Pol, Martijn; Vindenes, Yngvild; Sæther, Bernt-Erik; Engen, Steinar; Ens, Bruno J.; Oosterbeek, Kees; Tinbergen, Joost M.

2011-01-01

The relative importance of environmental colour for extinction risk compared with other aspects of environmental noise (mean and interannual variability) is poorly understood. Such knowledge is currently relevant, as climate change can cause the mean, variability and temporal autocorrelation of environmental variables to change. Here, we predict that the extinction risk of a shorebird population increases with the colour of a key environmental variable: winter temperature. However, the effect is weak compared with the impact of changes in the mean and interannual variability of temperature. Extinction risk was largely insensitive to noise colour, because demographic rates are poor in tracking the colour of the environment. We show that three mechanisms—which probably act in many species—can cause poor environmental tracking: (i) demographic rates that depend nonlinearly on environmental variables filter the noise colour, (ii) demographic rates typically depend on several environmental signals that do not change colour synchronously, and (iii) demographic stochasticity whitens the colour of demographic rates at low population size. We argue that the common practice of assuming perfect environmental tracking may result in overemphasizing the importance of noise colour for extinction risk. Consequently, ignoring environmental autocorrelation in population viability analysis could be less problematic than generally thought. PMID:21561978

Associations between race, sex and immune response variations to rubella vaccination in two independent cohorts

PubMed Central

Haralambieva, Iana H.; Salk, Hannah M.; Lambert, Nathaniel D.; Ovsyannikova, Inna G.; Kennedy, Richard B.; Warner, Nathaniel D.; Pankratz, V.Shane; Poland, Gregory A.

2014-01-01

Introduction Immune response variations after vaccination are influenced by host genetic factors and demographic variables, such as race, ethnicity and sex. The latter have not been systematically studied in regard to live rubella vaccine, but are of interest for developing next generation vaccines for diverse populations, for predicting immune responses after vaccination, and for better understanding the variables that impact immune response. Methods We assessed associations between demographic variables, including race, ethnicity and sex, and rubella-specific neutralizing antibody levels and secreted cytokines (IFN! , IL-6) in two independent cohorts (1,994 subjects), using linear and linear mixed models approaches, and genetically defined racial and ethnic categorizations. Results Our replicated findings in two independent, large, racially diverse cohorts indicate that individuals of African descent have significantly higher rubella-specific neutralizing antibody levels compared to individuals of European descent and/or Hispanic ethnicity (p! 0.001). Conclusion Our study provides consistent evidence for racial/ethnic differences in humoral immune response following rubella vaccination. PMID:24530932

Traumatic Brain Injury and PTSD Screening Efforts Evaluated Using Latent Class Analysis

DTIC Science & Technology

2014-01-01

Pastorek, & Thornton, 2009; Breslau, Reboussin, Anthony, & Storr, 2005; Naifeh, Richardson, Del Ben, & Elhai, 2010; Shevlin, Armour , Murphy, Houston...about a wide range of demographic characteristics, environmental exposures, and com- bat experiences. The Post-Deployment Health Reassessment (PDHRA...treatment, responses from the PDHRA were used. Demographic variables. Demographic variables included age, military pay grade, and branch of service. All

Assessing Job Satisfaction among Alabama's Community College Faculty

ERIC Educational Resources Information Center

Howton, Russell Warren

2009-01-01

The purpose of the study was to examine the relationship between selected demographic and educational variables of faculty members employed in the Alabama Community College System and their impact on job satisfaction. The variables included in the study are the demographic variables of age, gender, ethnicity, salary, and degree status, along with…

Personality and Demographic Variables Related to Career Development and Career Concerns.

ERIC Educational Resources Information Center

Ralph, Joan; And Others

Following a literature search of the theories of personal maturation and career development, a study was conducted to identify personality and demographic variables related to career development and career concerns. Specifically investigated was the relationship between two sets of variables with self-concept, locus of control, and age in one set…

Neuropsychological Predictors of Everyday Functioning in Adults with Intellectual Disabilities

ERIC Educational Resources Information Center

Su, C. Y.; Chen, C. C.; Wuang, Y. P.; Lin, Y. H.; Wu, Y. Y.

2008-01-01

Background: Very little is known about the neuropsychological correlates of adaptive functioning in people with intellectual disabilities (ID). This study examined whether specific cognitive deficits and demographic variables predicted everyday functioning in adults with ID. Method: People with ID (n = 101; ages 19-41 years; mean education = 11…

Psychopathology in Female Juvenile Offenders

ERIC Educational Resources Information Center

Dixon, Angela; Howie, Pauline; Starling, Jean

2004-01-01

Background: The aim was to document the spectrum of present and lifetime psychological disorders in female juvenile offenders, and to examine the relations between mental health status and socio-demographic, family and trauma variables. Method: One hundred juvenile offenders were matched with a comparison group of 100 females on age and…

Parental Physical and Psychological Aggression: Psychological Symptoms in Young Adults

ERIC Educational Resources Information Center

Miller-Perrin, Cindy L.; Perrin, Robin D.; Kocur, Jodie L.

2009-01-01

Objective: The purpose of the present study was to evaluate the relationship between various levels of parent-child physical violence and psychological symptoms reported by college students, while controlling for demographic variables, severity and frequency of violence, and co-occurrence of parental psychological aggression. Method: Participants…

Resilience: A Meta-Analytic Approach

ERIC Educational Resources Information Center

Lee, Ji Hee; Nam, Suk Kyung; Kim, A-Reum; Kim, Boram; Lee, Min Young; Lee, Sang Min

2013-01-01

This study investigated the relationship between psychological resilience and its relevant variables by using a meta-analytic method. The results indicated that the largest effect on resilience was found to stem from the protective factors, a medium effect from risk factors, and the smallest effect from demographic factors. (Contains 4 tables.)

Predicting Student Success in College: What Does the Research Say?

ERIC Educational Resources Information Center

Merante, Joseph A.

1983-01-01

Reviews various methods for predicting college success: correlation of students' high school grades, achievement test scores, and class rank with characteristics of the institution to be attended; examination of demographic variables such as age, sex, birth order, income, parents' education, religious and ethnic background, and geographic factors;…

Unconditional or Conditional Logistic Regression Model for Age-Matched Case-Control Data?

PubMed

Kuo, Chia-Ling; Duan, Yinghui; Grady, James

2018-01-01

Matching on demographic variables is commonly used in case-control studies to adjust for confounding at the design stage. There is a presumption that matched data need to be analyzed by matched methods. Conditional logistic regression has become a standard for matched case-control data to tackle the sparse data problem. The sparse data problem, however, may not be a concern for loose-matching data when the matching between cases and controls is not unique, and one case can be matched to other controls without substantially changing the association. Data matched on a few demographic variables are clearly loose-matching data, and we hypothesize that unconditional logistic regression is a proper method to perform. To address the hypothesis, we compare unconditional and conditional logistic regression models by precision in estimates and hypothesis testing using simulated matched case-control data. Our results support our hypothesis; however, the unconditional model is not as robust as the conditional model to the matching distortion that the matching process not only makes cases and controls similar for matching variables but also for the exposure status. When the study design involves other complex features or the computational burden is high, matching in loose-matching data can be ignored for negligible loss in testing and estimation if the distributions of matching variables are not extremely different between cases and controls.

Unconditional or Conditional Logistic Regression Model for Age-Matched Case–Control Data?

PubMed Central

Kuo, Chia-Ling; Duan, Yinghui; Grady, James

2018-01-01

Matching on demographic variables is commonly used in case–control studies to adjust for confounding at the design stage. There is a presumption that matched data need to be analyzed by matched methods. Conditional logistic regression has become a standard for matched case–control data to tackle the sparse data problem. The sparse data problem, however, may not be a concern for loose-matching data when the matching between cases and controls is not unique, and one case can be matched to other controls without substantially changing the association. Data matched on a few demographic variables are clearly loose-matching data, and we hypothesize that unconditional logistic regression is a proper method to perform. To address the hypothesis, we compare unconditional and conditional logistic regression models by precision in estimates and hypothesis testing using simulated matched case–control data. Our results support our hypothesis; however, the unconditional model is not as robust as the conditional model to the matching distortion that the matching process not only makes cases and controls similar for matching variables but also for the exposure status. When the study design involves other complex features or the computational burden is high, matching in loose-matching data can be ignored for negligible loss in testing and estimation if the distributions of matching variables are not extremely different between cases and controls. PMID:29552553

U.S. residential consumer product information: Validation of methods for post-stratification weighting of Amazon Mechanical Turk surveys

DOE Office of Scientific and Technical Information (OSTI.GOV)

Greenblatt, Jeffery B.; Yang, Hung-Chia; Desroches, Louis-Benoit

2013-04-01

We present two post-stratification weighting methods to validate survey data collected using Amazon Mechanical Turk (AMT). Two surveys focused on appliance and consumer electronics devices were administered in the spring and summer of 2012 to each of approximately 3,000 U.S. households. Specifically, the surveys asked questions about residential refrigeration products, televisions (TVs) and set-top boxes (STBs). Filtered data were assigned weights using each of two weighting methods, termed “sequential” and “simultaneous,” by examining up to eight demographic variables (income, education, gender, race, Hispanic origin, number of occupants, ages of occupants, and geographic region) in comparison to reference U.S. demographic datamore » from the 2009 Residential Energy Consumption Survey (RECS). Five key questions from the surveys (number of refrigerators, number of freezers, number of TVs, number of STBs and primary service provider) were evaluated with a set of statistical tests to determine whether either method improved the agreement of AMT with reference data, and if so, which method was better. The statistical tests used were: differences in proportions, distributions of proportions (using Pearson’s chi-squared test), and differences in average numbers of devices as functions of all demographic variables. The results indicated that both methods generally improved the agreement between AMT and reference data, sometimes greatly, but that the simultaneous method was usually superior to the sequential method. Some differences in sample populations were found between the AMT and reference data. Differences in the proportion of STBs reflected large changes in the STB market since the time our reference data was acquired in 2009. Differences in the proportions of some primary service providers suggested real sample bias, with the possible explanation that AMT user are more likely to subscribe to providers who also provide home internet service. Differences in other variables, while statistically significant in some cases, were nonetheless considered to be minor. Depending on the intended purpose of the data collected using AMT, these biases may or may not be important; to correct them, additional questions and/or further post-survey adjustments could be employed. In general, based on the analysis methods and the sample datasets used in this study, AMT surveys appeared to provide useful data on appliance and consumer electronics devices.« less

Demographic factors, fatigue, and driving accidents: An examination of the published literature.

PubMed

Di Milia, Lee; Smolensky, Michael H; Costa, Giovanni; Howarth, Heidi D; Ohayon, Maurice M; Philip, Pierre

2011-03-01

This article reviews the literature pertaining to the association between demographic variables (e.g., age, sex, race, socio-economic status) with fatigue, and when feasible, accident risk. It also explores their potential influence and interaction with some working arrangements, commute time, personality characteristics, and circadian chronotype. Fatigue has been implicated in a range of impairments that can have detrimental effects on individuals, and it is differentially associated with conventional demographic variables. However, several major methodological limitations prevent clear conclusions. First, there is absence of a shared definition both within and across disciplines. Second, although fatigue has been investigated using a variety of diverse designs, they have either been too weak to substantiate causality or lacked ecological validity. Third, while both subjective and objective measures have been used as dependent variables, fatigue has been more often found to be more strongly linked with the former. Fourth, with the exception of age and sex, the influence of other demographic variables is unknown, since they have not yet been concomitantly assessed. In instances when they have been assessed and included in statistical analyses, they are considered as covariates or confounders; thus, their contribution to the outcome variable is controlled for, rather than being a planned aspect of investigation. Because the interaction of demographic factors with fatigue is largely a neglected area of study, we recommend greater interdisciplinary collaborations, incorporation of multiple demographic variables as independent factors, and use of within-participant analyses. These recommendations would provide meaningful results that may be used to inform public policy and preventive strategies. Copyright © 2009 Elsevier Ltd. All rights reserved.

Correlation of global risk assessment with cardiovascular complications in patients with diabetes mellitus living in Puerto Rico

PubMed Central

Rodríguez-Vigil, Efraín; Rodríguez-Chacón, Migdalia; Ruiz Valcarcel, José J

2016-01-01

Objective The objective of this study was to assess the current relationship between certain demographics and chemical factors, and the risk of cardiovascular complications, within a Puerto Rican population with diabetes mellitus. Research design and methods A total of 2075 patients with diabetes mellitus were retrospectively evaluated to determine the influence of certain demographics and chemical variables on the appearance of cardiovascular complications. A group of demographic and laboratory variables were analyzed. Our sample was obtained, based on convenience, from an endocrinologist's office in an area of about 250 000 people. All the patients met the American Diabetes Association (ADA) definitions for diabetes mellitus. The study covered a time period of 8 years. The patients signed an informed consent document at their first office visit. Data were obtained by the endocrinologist in charge. Results We considered the demographic variables of sex, age, time with diabetes, lipid profile, metabolic control (measured with glycated hemoglobin levels), and microalbumin renal excretion. Cardiovascular complications were more prevalent in patients with poor metabolic control, those with prolonged disease duration, men, and patients who were more than 50 years of age. We found no relationship between cardiovascular disease, systolic blood pressure over 130 mm Hg, body mass index and low-density lipoprotein cholesterol levels over 100 mg/dL. Conclusions In Puerto Rican patients with diabetes mellitus, there is a statistically significant relationship between patient's gender, age, disease duration, glycemic control and increased kidney microalbumin excretion with cardiovascular complications. PMID:27752328

Patient identification errors: the detective in the laboratory.

PubMed

Salinas, Maria; López-Garrigós, Maite; Lillo, Rosa; Gutiérrez, Mercedes; Lugo, Javier; Leiva-Salinas, Carlos

2013-11-01

The eradication of errors regarding patients' identification is one of the main goals for safety improvement. As clinical laboratory intervenes in 70% of clinical decisions, laboratory safety is crucial in patient safety. We studied the number of Laboratory Information System (LIS) demographic data errors registered in our laboratory during one year. The laboratory attends a variety of inpatients and outpatients. The demographic data of outpatients is registered in the LIS, when they present to the laboratory front desk. The requests from the primary care centers (PCC) are made electronically by the general practitioner. A manual step is always done at the PCC to conciliate the patient identification number in the electronic request with the one in the LIS. Manual registration is done through hospital information system demographic data capture when patient's medical record number is registered in LIS. Laboratory report is always sent out electronically to the patient's electronic medical record. Daily, every demographic data in LIS is manually compared to the request form to detect potential errors. Fewer errors were committed when electronic order was used. There was great error variability between PCC when using the electronic order. LIS demographic data manual registration errors depended on patient origin and test requesting method. Even when using the electronic approach, errors were detected. There was a great variability between PCC even when using this electronic modality; this suggests that the number of errors is still dependent on the personnel in charge of the technology. © 2013.

Demographics, Affect, and Adolescents' Health Behaviors.

ERIC Educational Resources Information Center

Terre, Lisa; And Others

1992-01-01

Examined relationship between affect, demographics, and health-related lifestyle among 139 public high school students. Data analyses revealed distinctive demographic and affective correlates of different health behaviors. No one variable uniformly predicted adolescents' health behaviors. Demographics and affect showed differential relationships…

An Assessment of Farmers' Willingness to Pay for Extension Services Using the Contingent Valuation Method (CVM): The Case of Oyo State, Nigeria

ERIC Educational Resources Information Center

Ajayi, A. O.

2006-01-01

This study assessed farmers' willingness to pay (WTP) for extension services. The Contingent Valuation Method (CVM) was used to assess the amount which farmers are willing to pay. Primary data on the demographic, socio-economic variables of farmers and their WTP were collected from 228 farmers selected randomly in a stage-wise sampling procedure…

Effects of Three Sets of Instructional Strategies and Three Demographic Variables on the Food and Nutrition Test Performance of Some Jamaican Tenth-Graders

ERIC Educational Resources Information Center

Kelly, Dennis; Soyibo, Kola

2005-01-01

This study was designed to find out if students taught food and nutrition concepts using the lecture method and practical work would perform significantly better than their counterparts taught with the lecture and teacher demonstrations and the lecture method only. The sample comprised 114 Jamaican 10th-graders (56 boys, 58 girls) selected from…

Analysis of Objective Factors Related to a Successful Outcome on the National Examination for Occupational Therapists

ERIC Educational Resources Information Center

Zadnik, Mary; Lawson, Sonia; DeLany, Janet V.; Parente, Frederick; Archer, Kristin R.

2017-01-01

Purpose: To identify academic and demographic variables related to a successful outcome on the national certification exam for occupational therapists (National Board for Certification in Occupational Therapy [NBCOT] exam) at one academic institution with the expectation that it could be replicated with multiple institutions. Method: Binary…

Correlates of Sexual Abuse and Smoking among French Adults

ERIC Educational Resources Information Center

King, Gary; Guilbert, Philippe; Ward, D. Gant; Arwidson, Pierre; Noubary, Farzad

2006-01-01

Objective: The goal of this study was to examine the association between sexual abuse (SA) and initiation, cessation, and current cigarette smoking among a large representative adult population in France. Method: A random sample size of 12,256 adults (18-75 years of age) was interviewed by telephone concerning demographic variables, health…

Attitudes of Medical Students towards Psychiatry: Effects of Training, Courses in Psychiatry, Psychiatric Experience and Gender

ERIC Educational Resources Information Center

Kuhnigk, Olaf; Strebel, Bernd; Schilauske, Joerg; Jueptner, Markus

2007-01-01

Objective: The attitudes of medical students towards psychiatry and psychotherapy were examined considering the extent of their education, previous psychiatry experience, the evaluation of the course, their career intentions and socio-demographic variables. Methods: Five hundred and eight medical students in their second, fifth, ninth and tenth…

Science and Technology Teachers' Attitudes towards Educational Research in Turkey

ERIC Educational Resources Information Center

Sekerci, Ali Riza; Ilhan, Nail; Mustafa, Sozbilir; Yildirim, Ali

2017-01-01

This study reports on the attitudes of science and technology teachers' towards educational research that were investigated and analyzed with respect to certain demographic variables. The survey method was utilized as the research design. The study group consisted of 918 science and technology teachers working in middle schools in the Eastern…

Farmers as Consumers of Agricultural Education Services: Willingness to Pay and Spend Time

ERIC Educational Resources Information Center

Charatsari, Chrysanthi; Papadaki-Klavdianou, Afroditi; Michailidis, Anastasios

2011-01-01

This study assessed farmers' willingness to pay for and spend time attending an Agricultural Educational Program (AEP). Primary data on the demographic and socio-economic variables of farmers were collected from 355 farmers selected randomly from Northern Greece. Descriptive statistics and multivariate analysis methods were used in order to meet…

Exploring the Influence of Select Demographic, Academic, and Athletic Variables on the Retention of Student-Athletes

ERIC Educational Resources Information Center

Johnson, James E.; Wessel, Roger D.; Pierce, David A.

2013-01-01

The population of 674 first-year student-athletes culled from 5 successive freshman classes (2004-2008) at a mid-size midwestern university was examined to determine what combination of demographic, academic, and athletic variables best predicted retention into the 2nd academic year. The dependent variable of retention was chosen because it is a…

Complementary and alternative medicine (CAM) among hospitalised patients: reported use of CAM and reasons for use, CAM preferred during hospitalisation, and the socio-demographic determinants of CAM users.

PubMed

Shorofi, Seyed Afshin

2011-11-01

This paper reports a study to examine hospitalised patients' frequency and patterns of CAM use, their reasons for CAM use, their preferences of CAMs during hospitalisation, and the association between patients' socio-demographic variables and use of each individual CAM/CAM domain. A convenience sample of 353 patients hospitalised in 19 surgical wards at four metropolitan hospitals completed a questionnaire on CAM use and socio-demographic variables. The response rate was 73.5%, and over 90% of the sample acknowledged using CAMs. Non-herbal supplements (60.3%) and massage therapy (45%) were the most frequently used CAMs, with biologically based therapies (68.8%) as well as mind-body interventions (65.4%) being the most often used CAM domains. About 1 in 10 patients (9.6%) used CAMs from all five domains. With the exception of herbal-botanical therapies, self-prayer for health reasons/spiritual healing and music therapy, all CAMs were mainly used on an 'only when needed' basis. The most common reason nominated for using CAMs was that '[it] fits into my way of life/philosophy' (26%). The majority of patients declared interest in and support for the hospital providing CAMs. Patients were most inclined to choose therapies categorised as manipulative and body-based methods (65.4%) for use in hospital. Massage therapy (53.5%) and non-herbal supplements (43.1%) were the top two CAMs favoured for use in hospital. CAM use was also dependent of socio-demographic data (age, gender, marital status, place of residence, education level, religion, and income in hospitalised patients). The use of CAMs is pervasive amongst surgical in-patients, making it feasible to initially assess these patients for CAM use and provide them with clinically approved CAMs where possible. Notwithstanding that CAM use is fairly predictable by socio-demographic variables, further studies should be directed to know the variables useful for predicting the use of each CAM approach. Copyright © 2011 Elsevier Ltd. All rights reserved.

Smoker Characteristics and Smoking-Cessation Milestones

PubMed Central

Japuntich, Sandra J.; Leventhal, Adam M.; Piper, Megan E.; Bolt, Daniel M.; Roberts, Linda J.; Fiore, Michael C.; Baker, Timothy B.

2011-01-01

Background Contextual variables often predict long-term abstinence, but little is known about how these variables exert their effects. These variables could influence abstinence by affecting the ability to quit at all, or by altering risk of lapsing, or progressing from a lapse to relapse. Purpose To examine the effect of common predictors of smoking-cessation failure on smoking-cessation processes. Methods The current study (N = 1504, 58% female, 84% Caucasian; recruited from January 2005 to June 2007; data analyzed in 2009) uses the approach advocated by Shiffman et al., (2006), which measures cessation outcomes on three different cessation milestones (achieving initial abstinence, lapse risk, and the lapse-relapse transition) to examine relationships of smoker characteristics (dependence, contextual and demographic factors) with smoking-cessation process. Results High nicotine dependence strongly predicted all milestones: not achieving initial abstinence, and a higher risk of both lapse and transitioning from lapse to complete relapse. Numerous contextual and demographic variables were associated with higher initial cessation rates and/or decreased lapse risk at 6 months post-quit (e.g., ethnicity, gender, marital status, education, smoking in the workplace, number of smokers in the social network, and number of supportive others). However, aside from nicotine dependence, only gender significantly predicted the risk of transition from lapse to relapse. Conclusions These findings demonstrate that: (1) higher nicotine dependence predicted worse outcomes across every cessation milestone; (2) demographic and contextual variables are generally associated with initial abstinence rates and lapse risk and not the lapse-relapse transition. These results identify groups who are at risk for failure at specific stages of the smoking-cessation process, and this may have implications for treatment. PMID:21335259

Assessing Demographic Differences in Patient-Perceived Improvement in Facial Appearance and Quality of Life Following Rhinoplasty

PubMed Central

Schwitzer, Jonathan A.; Albino, Frank P.; Mathis, Ryan K.; Scott, Amie M.; Gamble, Laurie; Baker, Stephen B.

2015-01-01

Background As rhinoplasty patient demographics evolve, surgeons must consider the impact of demographics on patient satisfaction. Objectives The objective of this study was to identify independent demographic predictors of differences in satisfaction with appearance and quality of life following rhinoplasty utilizing the FACE-Q patient-reported outcome instrument. Methods Patients presenting for rhinoplasty completed the following FACE-Q scales: Satisfaction with Facial Appearance, Satisfaction with Nose, Social Function, and Psychological Well-being. Higher FACE-Q scores indicate greater satisfaction with appearance or superior quality of life. Pre- and post-treatment scores were compared in the context of patient demographics. Results The scales were completed by 59 patients. Women demonstrated statistically significant improvements in Satisfaction with Facial Appearance and quality of life while men only experienced significant improvement in Satisfaction with Facial appearance. Caucasians demonstrated statistically significant improvement in Satisfaction with Facial Appearance and quality of life while non-Caucasians did not. Patients younger than 35 years old were more likely to experience enhanced Satisfaction with Facial Appearance and quality of life compared with patients older than 35 years old. Patients with income ≥$100,000 were more likely to experience significant increases in Satisfaction with Facial Appearance and quality of life than patients with incomes <$100,000. Conclusions In an objective study using a validated patient-reported outcome instrument, the authors were able to quantify differences in the clinically meaningful change in perception of appearance and quality of life that rhinoplasty patients gain based on demographic variables. The authors also demonstrated that these variables are potential predictors of differences in satisfaction. Level of Evidence 3 Therapeutic PMID:26063837

Do Children and Adolescents with Anorexia Nervosa Display an Inefficient Cognitive Processing Style?

PubMed Central

Lang, Katie; Lloyd, Samantha; Khondoker, Mizanur; Simic, Mima; Treasure, Janet; Tchanturia, Kate

2015-01-01

Objective This study aimed to examine neuropsychological processing in children and adolescents with Anorexia Nervosa (AN). The relationship of clinical and demographic variables to neuropsychological functioning within the AN group was also explored. Method The performance of 41 children and adolescents with a diagnosis of AN were compared to 43 healthy control (HC) participants on a number of neuropsychological measures. Results There were no differences in IQ between AN and HC groups. However, children and adolescents with AN displayed significantly more perseverative errors on the Wisconsin Card Sorting Test, and lower Style and Central Coherence scores on the Rey Osterrieth Complex Figure Test relative to HCs. Conclusion Inefficient cognitive processing in the AN group was independent of clinical and demographic variables, suggesting it might represent an underlying trait for AN. The implications of these findings are discussed. PMID:26133552

Demographic Variables and Recreational Substance Use Among College Students.

ERIC Educational Resources Information Center

Carlson, B. Robert; Davis, Jaime L.

1988-01-01

Examined relationship between demographic variables and recreational substance use in college students (N=832). Results revealed that persons using certain recreational substances differed significantly from nonusers. Marijuana users differed from nonusers on parental income, high school grade point average, and political orientation. No…

Disclosure of HIV Status and Social Support Among People Living With HIV

PubMed Central

Jorjoran Shushtari, Zahra; Sajjadi, Homeira; Forouzan, Ameneh Setareh; Salimi, Yahya; Dejman, Masoumeh

2014-01-01

Background: Disclosure of HIV is important for improving self-care behaviors, psychological well-being, commitment to the treatment, and reducing risk of transmission. One of the major benefits of disclosure is social support, which is an essential resource for effective coping with HIV infection. However, receiving any social support requires disclosing of HIV status. Objectives: This study aimed to determine the disclosure of HIV status and its related factors such as social support in addition to demographic and disease characteristics among people living with HIV in Iran. Patients and Methods: This cross-sectional study, using simple random sampling, was carried out on 175 people with HIV/AIDS who referred to Behavioral Counseling Centers. The self-administrated, Norbeck Social Support Questionnaire was used to measure social support. Disclosure of HIV status was assessed with an investigator-designed questions. Multiple logistic regression analysis with backward Likelihood Ratio method was applied to identify the adjusted odds ratio between disclosure as dependent variable and demographic variables, social support as independent variables. Results: Participants were often disclosed their HIV status to family members. But there were differences about disclosure of HIV status within the context of the family. Family members were perceived as more supportive. Multiple logistic regression analysis demonstrates that the gender (adjusted OR = 0.181; 95% CI .068-0.479), CD4 cell count (adjusted OR = 0.997; 95% CI 0.994-0.999), route of transmission (injection-drug user [adjusted OR = 9.366; 95% CI 3.358-26.123] and other routes [tattooing, mother to child, dental services, etc.], [adjusted OR = 3.752; 95% CI 1.157-12.167]), and functional support variable (adjusted OR = 1.007; 95% CI 1.001-1.013) remained in the model as significant predictors for disclosure. Conclusions: The results of this study regarding disclosure of HIV status and its relations to social support and some demographic variables can provide an understanding based on the evidence for promotion of knowledge and coping interventions about people living with HIV/AIDS and their perceived social support status. PMID:25389470

EJSCREEN Version 1, EJ Index Alternatives

EPA Pesticide Factsheets

This map service displays alternative environmental justice (EJ) indexes used in EJSCREEN. The alternative EJ indexes combine each of the 12 environmental indicators and one of two demographic indexes using different methods than the Primary EJ Index. EJ Index Alternative 1 is a combination of a blockgroup environmental factor, the populaiton of the blockgroup, and the demographic index. This EJ Index measures how much a particular place contributes to the total burden faced by subpopulations highlighted by the demographic index. EJ Index Alternative 2 is a combination of a blockgroup environmental factor and the demographic index. Two options are presented for both EJ Index Alternative 1 and Alternative 2-- they are combined with the primary demographic index and alternative demographic index. EJSCREEN is an environmental justice screening tool that provides EPA with a nationally consistent approach to screening for potential areas of EJ concern that may warrant further investigation. The EJ indexes are block group level results that combine multiple demographic factors with a single environmental variable (such as proximity to traffic) that can be used to help identify communities living with the greatest potential for negative environmental and health effects. The EJSCREEN tool is currently for internal EPA use only. It is anticipated that as users become accustomed to this new tool, individual programs within the Agency will develop program use guidelines a

Personality, Demographics, and Acculturation in North American Refugees.

ERIC Educational Resources Information Center

Smither, Robert; Rodriquez-Giegling, Marta

This study predicts willingness of refugees to acculturate to North American society based on selected demographic and psychological variables. The hypothesis is that most previous research on refugee adaptation has overemphasized sociological variables such as age, time in the country, and level of education and underemphasized psychological…

Multidimensional Relationships in the WAIS-R Subscales and Demographic Variables.

ERIC Educational Resources Information Center

Chastain, Robert L.; Joe, George W.

This study attempts to integrate and extend previous research by multivariate investigation to determine multidimensional relationships among both the Wechsler Adult Intelligence Scale-Revised (WAIS-R) subscales and the demographic variables for the 1981 WAIS-R standardization sample. Canonical correlation with orthogonal rotation of composite…

The effects of informal carers' characteristics on their information needs: The information needs state approach.

PubMed

Alzougool, Basil; Chang, Shanton; Gray, Kathleen

2017-09-01

There has been little research that provides a comprehensive account of the nature and aspects of information needs of informal carers. The authors have previously developed and validated a framework that accounts for major underlying states of information need. This paper aims to apply this framework to explore whether there are common demographic and socioeconomic characteristics that affect the information needs states of carers. A questionnaire about the information needs states was completed by 198 carers above 18 years old. We use statistical methods to look for similarities and differences in respondents' information needs states, in terms of the demographic and socioeconomic variables. At least one information needs state varies among carers, in terms of seven demographic and socioeconomic variables: the age of the patient(s) that they are caring for; the condition(s) of the patient(s) that they are caring for; the number of patients that they are caring for; their length of time as a carer; their gender; the country that they live in; and the population of the area that they live in. The findings demonstrate the utility of the information needs state framework. We outline some practical implications of the framework.

Associations between general self-efficacy and health-related quality of life among 12-13-year-old school children: a cross-sectional survey

PubMed Central

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

Socioeconomic, demographic, and geographic variables affecting the diverse degrees of consanguineous marriages in Spain.

PubMed

Fuster, V; Colantonio, S E

2004-02-01

In a population the inbreeding coefficient alpha is determined by the relative incidence of the various degrees of consanguineous marriages--uncle-niece or aunt-nephew (C12), first cousin (C22), first cousin once removed (C23), second cousin (C33)--which may be related to temporal, geographic, demographic, and economic factors. Using published information from Spain corresponding to urban and rural areas, in this article we seek to establish how each specific relationship behaves with respect to geographic, demographic, and socioeconomic factors, to determine differential urban-rural patterns, and to study whether the diverse types of consanguineous matings relate homogeneously to these factors. For this purpose we performed multiple regressions in which the dependent variables were the different degrees of consanguinity previously selected and the independent variables were geographic, demographic, and economic factors. Our results indicate that the various types of consanguineous marriages in Spain are more conditioned by geographic, demographic, and economic variables than by the inbreeding level alpha (the coefficient of determination was between 0.22 and 0.72; the maximum for alpha was 0.35). A regional pattern exists in Spain and corresponds to close and to remote kinship, which may be mainly related to economic and family factors. Close relationships appear to be more associated with economic variables, whereas second-cousin marriages correspond largely to rural areas of the Spanish Central Plateau.

Socio-demographic predictors of sleep complaints in indigenous Siberians with a mixed economy.

PubMed

Wilson, Hannah J; Klimova, Tatiana M; Knuston, Kristen L; Fedorova, Valentina I; Fedorov, Afanasy; Yegorovna, Baltakhinova M; Leonard, William R

2015-08-01

Socio-demographic indicators closely relate to sleep in industrialized populations. However we know very little about how such factors impact sleep in populations undergoing industrialization. Within populations transitioning to the global economy, the preliminary evidence has found an inconsistent relationship between socio-demographics and sleep complaints across countries and social strata. Surveys were conducted on a sample of rural Sakha (Yakut) adults (n = 168) during the autumn of 2103 to assess variation in socio-demographics and sleep complaints, including trouble sleeping and daytime sleepiness. Socio-demographic variables included age, gender, socioeconomic measures, and markers of traditional/market-based lifestyle. We tested whether the socio-demographic variables predicted sleep complaints using bivariate analyses and multiple logistic regressions. Trouble sleeping was reported by 18.5% of the participants and excessive daytime sleepiness (EDS) by 17.3%. Trouble sleeping was significantly predicted by older age, female gender, and mixing traditional and market-based lifestyles. EDS was not significantly predicted by any socio-demographic variable. These findings support the few large-scale studies that found inconsistent relationships between measures of socioeconomic status and sleep complaints in transitioning populations. Employing a mix of traditional and market-based lifestyles may leave Sakha in a space of vulnerability, leading to trouble sleeping. © 2015 Wiley Periodicals, Inc.

Space, race, and poverty: Spatial inequalities in walkable neighborhood amenities?

PubMed Central

Aldstadt, Jared; Whalen, John; White, Kellee; Castro, Marcia C.; Williams, David R.

2017-01-01

BACKGROUND Multiple and varied benefits have been suggested for increased neighborhood walkability. However, spatial inequalities in neighborhood walkability likely exist and may be attributable, in part, to residential segregation. OBJECTIVE Utilizing a spatial demographic perspective, we evaluated potential spatial inequalities in walkable neighborhood amenities across census tracts in Boston, MA (US). METHODS The independent variables included minority racial/ethnic population percentages and percent of families in poverty. Walkable neighborhood amenities were assessed with a composite measure. Spatial autocorrelation in key study variables were first calculated with the Global Moran’s I statistic. Then, Spearman correlations between neighborhood socio-demographic characteristics and walkable neighborhood amenities were calculated as well as Spearman correlations accounting for spatial autocorrelation. We fit ordinary least squares (OLS) regression and spatial autoregressive models, when appropriate, as a final step. RESULTS Significant positive spatial autocorrelation was found in neighborhood socio-demographic characteristics (e.g. census tract percent Black), but not walkable neighborhood amenities or in the OLS regression residuals. Spearman correlations between neighborhood socio-demographic characteristics and walkable neighborhood amenities were not statistically significant, nor were neighborhood socio-demographic characteristics significantly associated with walkable neighborhood amenities in OLS regression models. CONCLUSIONS Our results suggest that there is residential segregation in Boston and that spatial inequalities do not necessarily show up using a composite measure. COMMENTS Future research in other geographic areas (including international contexts) and using different definitions of neighborhoods (including small-area definitions) should evaluate if spatial inequalities are found using composite measures but also should use measures of specific neighborhood amenities. PMID:29046612

Community College Placement: How Emerging Policy and Practice Relate to Success and Persistence

ERIC Educational Resources Information Center

Helget, Donna Johnson

2017-01-01

The purpose of this quantitative study was to examine whether the method of course placement for the first attempted English and mathematics courses was independent of the student demographic variables of gender, race/ethnicity, and Pell Grant eligibility. The study also analyzed if course success and semester-to-semester persistence were…

Pacific Islands Families Study: Behavioral Problems among Two-Year-Old Pacific Children Living in New Zealand

ERIC Educational Resources Information Center

Paterson, Janis; Carter, Sarnia; Gao, Wanzhen; Perese, Lana

2007-01-01

Background: The aim of this study was to determine (1) the prevalence of behavioral problems among two-year-old Pacific children living in New Zealand, (2) ethnic differences in behavioral problems, and (3) relationships between maternal and socio-demographic variables and problem child behavior. Methods: Data were gathered from the Pacific…

Client Factors as Predictors of Restraint and Seclusion in People with Intellectual Disability

ERIC Educational Resources Information Center

Scheirs, Jan G. M.; Blok, Jan B.; Tolhoek, Myrte A.; El Aouat, Fadoua; Glimmerveen, Johanna C.

2012-01-01

Background: To gain more insight into the antecedent factors of restraint in institutionalised people with intellectual disability (ID), the role played by several demographic and psychological client variables was investigated. Methods: The data of 475 people (age range 12-95 years) who were residents in a Dutch institution for people with ID…

Adolescents and alcohol: an explorative audience segmentation analysis

PubMed Central

2012-01-01

Background So far, audience segmentation of adolescents with respect to alcohol has been carried out mainly on the basis of socio-demographic characteristics. In this study we examined whether it is possible to segment adolescents according to their values and attitudes towards alcohol to use as guidance for prevention programmes. Methods A random sample of 7,000 adolescents aged 12 to 18 was drawn from the Municipal Basic Administration (MBA) of 29 Local Authorities in the province North-Brabant in the Netherlands. By means of an online questionnaire data were gathered on values and attitudes towards alcohol, alcohol consumption and socio-demographic characteristics. Results We were able to distinguish a total of five segments on the basis of five attitude factors. Moreover, the five segments also differed in drinking behavior independently of socio-demographic variables. Conclusions Our investigation was a first step in the search for possibilities of segmenting by factors other than socio-demographic characteristics. Further research is necessary in order to understand these results for alcohol prevention policy in concrete terms. PMID:22950946

[Factors related to suicide attempts in a Tunisian sample of patients with schizophrenia].

PubMed

Bouhlel, S; M'solly, M; Benhawala, S; Jones, Y; El-Hechmi, Z

2013-02-01

The mortality rate in schizophrenia is 4.5 times higher than in the general population. Suicide is one of the main causes of premature death in this affection. Life time prevalence of this behavior ranges from 10 to 15%, which represents a risk 20 to 50 times higher than in the general population. In addition, 40 to 93% of patients who committed suicide had attempted suicide previously. Thus, assessment of correlated variables with suicide attempts is a fundamental issue for developing preventive and therapeutic strategies in suicidal behavior. To the best of our knowledge, no systematic study has yet investigated suicide attempts in an Arabic Muslim population with schizophrenia, although many authors have demonstrated cultural differences in socio-demographic and clinical variables related to suicide attempts within many geographic areas around the world. The objectives of this study were to assess the frequency and characteristics of lifetime suicide attempts in Tunisian schizophrenic outpatients and to determine the correlated socio-demographic, clinical and therapeutic variables. A total of 134 patients with a DSM-IV diagnosis of schizophrenia who attended the outpatient department of the university psychiatric hospital of Tunis were included. The main demographic and lifetime clinical variables considered were: gender, marital status, family history of psychiatric disorders and suicide attempts, age at time of recruitment, age at onset of illness, duration of untreated psychosis defined as the interval between the onset of the illness and the first antipsychotic treatment, the type and dose of current treatment, dose of antipsychotic drugs converted to chlorpromazine equivalents, extrapyramidal side effects assessed with the Simpson Angus rating scale, number of hospitalizations, comorbid substance abuse, cigarette smoking, severity of psychopathology measured with the Positive And Negative Syndrome Scale (PANSS), and history of at least one suicide attempt. A suicide attempt was defined as a self-destructive act carried out with at least some intent to end one's life. We also assessed the number, the used methods and the causes of suicide attempts. We subdivided the sample into two sub samples according to the presence or absence of suicidal attempts. We analyzed and compared the demographic, clinical and therapeutic variables. Out of the 134 patients, 45 (32%) had attempted suicide at least once. Half of them (49%) had attempted suicide more than once. The number of suicide attempts varied from one to five with an average of 1.8. The most used methods were medication overdose (n=18, 23.4%), followed by organophosphate poisoning (n=11, 14.3%), defenestration (n=9, 11.7%) and hanging or using sharp objects (n=7, 9.1% for each of them). The main reported reasons of suicide attempts were depressive symptoms (n=46, 60%) including depressed mood and hopelessness, stressful life events (bereavement, divorce, separation) (n=35, 46%) and presence of delusions and/or auditory hallucinations (n=25, 32.5%). No differences were found between the two groups regarding the different socio-demographic variables. Significant differences were found with respect to a duration of untreated psychosis equal to or more than one year (P<0.001), smoking in men (P=0.03), positive symptoms score on the PANSS (P<0.001), scores of Simpson-Angus scale (P=0.029) and poor medication compliance (P=0.02). Demographic variables as suggested by other studies are less valuable predictors of suicide attempts in patients with schizophrenia. Interventions for reducing such behavior should focus on clinical variables and integrate an early diagnosis of the disease, reduce positive psychotic symptoms and tobacco consumption, correct extrapyramidal signs and improve medication compliance. Copyright © 2012 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

Self-Efficacy, Attachment Style and Service Delivery of Elementary School Counseling

ERIC Educational Resources Information Center

Ernst, Kimberly; Bardhoshi, Gerta; Lanthier, Richard P.

2017-01-01

This study explored the relationships between demographic variables, self-efficacy and attachment style with a range of performed and preferred school counseling activities in a national sample of elementary school counselors (N = 515). Demographic variables, such as school counselor experience and American School Counselor Association (ASCA)…

Structured Modeling and Analysis of Stochastic Epidemics with Immigration and Demographic Effects

PubMed Central

Baumann, Hendrik; Sandmann, Werner

2016-01-01

Stochastic epidemics with open populations of variable population sizes are considered where due to immigration and demographic effects the epidemic does not eventually die out forever. The underlying stochastic processes are ergodic multi-dimensional continuous-time Markov chains that possess unique equilibrium probability distributions. Modeling these epidemics as level-dependent quasi-birth-and-death processes enables efficient computations of the equilibrium distributions by matrix-analytic methods. Numerical examples for specific parameter sets are provided, which demonstrates that this approach is particularly well-suited for studying the impact of varying rates for immigration, births, deaths, infection, recovery from infection, and loss of immunity. PMID:27010993

Structured Modeling and Analysis of Stochastic Epidemics with Immigration and Demographic Effects.

PubMed

Baumann, Hendrik; Sandmann, Werner

2016-01-01

Stochastic epidemics with open populations of variable population sizes are considered where due to immigration and demographic effects the epidemic does not eventually die out forever. The underlying stochastic processes are ergodic multi-dimensional continuous-time Markov chains that possess unique equilibrium probability distributions. Modeling these epidemics as level-dependent quasi-birth-and-death processes enables efficient computations of the equilibrium distributions by matrix-analytic methods. Numerical examples for specific parameter sets are provided, which demonstrates that this approach is particularly well-suited for studying the impact of varying rates for immigration, births, deaths, infection, recovery from infection, and loss of immunity.

Menstrual experiences and beliefs: a multicountry study of relationships with fertility and fertility regulating methods.

PubMed

Severy, L J; Thapa, S; Askew, I; Glor, J

1993-01-01

Knowledge is needed about what women generally experience (behavior and beliefs about sexual, personal, social, and dietary factors) during menstruation as baseline data. Data were obtained from a WHO non nationally representative sample of 5322 parous women from 14 cultural groups between 1973 to 1980 and a subsample of 500 women with detailed daily diaries from 10 countries (Egypt, India, Indonesia, jamaica, Korea, Mexico, Pakistan, Philippines, UK, and Yugoslavia). This study identified and analyzed 1) critical variables through principal component analysis and varimax rotation, 2) clusters of types of women with particular menstrual experiences and particular beliefs, and 3) the relationship between demographic variables and the 2 resultant cluster and the relationship between beliefs and experiences. Factor analysis resulted in the identification of 6 factors and 13 variables which accounted for more than 65% of the variance: amount of bleeding, activity during the last menstrual period, mood during last menstrual period, discomfort during last menstrual period, predictability, and blood characteristics (smell and color). Beliefs that explained more than 53% of the estimated variance were bathing behavior during menstruation, fertility and femininity issues, interpretations and implications of menstruation, and beliefs about not washing hair or body during menstruation. Alpha estimates of reliability for the belief ranged from .33 to .73, and for behavior the range was .40 to .59. The cluster analysis of type of persons identified 3 groups of women: type I (26.4%) who experienced low blood loss the first day and had a long duration of bleeding; type II (52.3%) who had a short duration of bleeding; and type III (21.2%) who had the heaviest bleeding and longest duration of bleeding. The cluster analysis of women's belief types indicated 9 profiles. For instance, Type 2 women tended to believe that menstruation is dirty but prefer more blood loss. Belief Profiles 3, 4, 5, 8, and 9 are consistently represented and profiles 1, 2, 6, and 7 show wide variability. 7 demographic factors were found to be significantly related to belief clusters: country of residence, religion, literacy, age, work environment, social status, and rural vs. urban area. There was evidence, for instance, that type 2 women were overrepresented in the use of modern methods, and that Belief Profile 1, which represents 10.23% of the sample, showed 17.86% using modern methods. The findings show that Belief Profile 1 persons who disagreed with many items were the most likely to use modern methods and have smaller family sizes. Beliefs, which reflect socialization according to demographic variables, appear to affect choice of methods and family size.

Estimating demographic contributions to effective population size in an age-structured wild population experiencing environmental and demographic stochasticity.

PubMed

Trask, Amanda E; Bignal, Eric M; McCracken, Davy I; Piertney, Stuart B; Reid, Jane M

2017-09-01

A population's effective size (N e ) is a key parameter that shapes rates of inbreeding and loss of genetic diversity, thereby influencing evolutionary processes and population viability. However, estimating N e , and identifying key demographic mechanisms that underlie the N e to census population size (N) ratio, remains challenging, especially for small populations with overlapping generations and substantial environmental and demographic stochasticity and hence dynamic age-structure. A sophisticated demographic method of estimating N e /N, which uses Fisher's reproductive value to account for dynamic age-structure, has been formulated. However, this method requires detailed individual- and population-level data on sex- and age-specific reproduction and survival, and has rarely been implemented. Here, we use the reproductive value method and detailed demographic data to estimate N e /N for a small and apparently isolated red-billed chough (Pyrrhocorax pyrrhocorax) population of high conservation concern. We additionally calculated two single-sample molecular genetic estimates of N e to corroborate the demographic estimate and examine evidence for unobserved immigration and gene flow. The demographic estimate of N e /N was 0.21, reflecting a high total demographic variance (σ2dg) of 0.71. Females and males made similar overall contributions to σ2dg. However, contributions varied among sex-age classes, with greater contributions from 3 year-old females than males, but greater contributions from ≥5 year-old males than females. The demographic estimate of N e was ~30, suggesting that rates of increase of inbreeding and loss of genetic variation per generation will be relatively high. Molecular genetic estimates of N e computed from linkage disequilibrium and approximate Bayesian computation were approximately 50 and 30, respectively, providing no evidence of substantial unobserved immigration which could bias demographic estimates of N e . Our analyses identify key sex-age classes contributing to demographic variance and thus decreasing N e /N in a small age-structured population inhabiting a variable environment. They thereby demonstrate how assessments of N e can incorporate stochastic sex- and age-specific demography and elucidate key demographic processes affecting a population's evolutionary trajectory and viability. Furthermore, our analyses show that N e for the focal chough population is critically small, implying that management to re-establish genetic connectivity may be required to ensure population viability. © 2017 The Authors. Journal of Animal Ecology © 2017 British Ecological Society.

Functional traits help predict post-disturbance demography of tropical trees.

PubMed

Flores, Olivier; Hérault, Bruno; Delcamp, Matthieu; Garnier, Éric; Gourlet-Fleury, Sylvie

2014-01-01

How tropical tree species respond to disturbance is a central issue of forest ecology, conservation and resource management. We define a hierarchical model to investigate how functional traits measured in control plots relate to the population change rate and to demographic rates for recruitment and mortality after disturbance by logging operations. Population change and demographic rates were quantified on a 12-year period after disturbance and related to seven functional traits measured in control plots. The model was calibrated using a Bayesian Network approach on 53 species surveyed in permanent forest plots (37.5 ha) at Paracou in French Guiana. The network analysis allowed us to highlight both direct and indirect relationships among predictive variables. Overall, 89% of interspecific variability in the population change rate after disturbance were explained by the two demographic rates, the recruitment rate being the most explicative variable. Three direct drivers explained 45% of the variability in recruitment rates, including leaf phosphorus concentration, with a positive effect, and seed size and wood density with negative effects. Mortality rates were explained by interspecific variability in maximum diameter only (25%). Wood density, leaf nitrogen concentration, maximum diameter and seed size were not explained by variables in the analysis and thus appear as independent drivers of post-disturbance demography. Relationships between functional traits and demographic parameters were consistent with results found in undisturbed forests. Functional traits measured in control conditions can thus help predict the fate of tropical tree species after disturbance. Indirect relationships also suggest how different processes interact to mediate species demographic response.

Socio-demographic diversity and unexplained variation in death rates among the most deprived parliamentary constituencies in Britain.

PubMed

Tunstall, H; Mitchell, R; Gibbs, J; Platt, S; Dorling, D

2012-06-01

There is considerable unexplained variation in death rates between deprived areas of Britain. This analysis assesses the degree of variation in socio-demographic factors among deprivation deciles and how variables associated with deaths differ among the most deprived areas. Death rates 1996-2001, Carstairs' 2001 deprivation score and indicators, population density, black and minority ethnic group (BME) and population change 1971-2001 were calculated for 641 parliamentary constituencies in Britain. Constituencies were grouped into Carstairs' deciles. We assessed standard errors of all variables by decile and the relationship between death rates and socio-demographic variables with Pearson's correlations and linear regression by decile and for all constituencies combined. Standard errors in death rates and most socio-demographic variables were greatest for the most deprived decile. Death rates among all constituencies were positively correlated with Carstairs' score and indicators, density and BME, but for the most deprived decile, there was no association with Carstairs and a negative correlation with overcrowding, density and BME. For the most deprived decile multivariate models containing population density, BME and change had substantially higher R(2). Understanding variations in death rates between deprived areas requires greater consideration of their socio-demographic diversity including their population density, ethnicity and migration.

A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics

PubMed Central

Fukuchi, Claudiane A.; Duarte, Marcos

2017-01-01

Background The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to examine the effect of running speed on selected gait-biomechanics variables related to both running injuries and running economy. Methods The lower-extremity kinematics and kinetics data of 28 regular runners were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes. Results A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats. In addition, a file of metadata, including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. Overall, there was an effect of running speed on most of the gait-biomechanics variables selected for this study. However, the foot-strike patterns were not affected by running speed. Discussion Several applications of this dataset can be anticipated, including testing new methods of data reduction and variable selection; for educational purposes; and answering specific research questions. This last application was exemplified in the study’s second objective. PMID:28503379

From stage to age in variable environments: life expectancy and survivorship.

PubMed

Tuljapurkar, Shripad; Horvitz, Carol C

2006-06-01

Stage-based demographic data are now available on many species of plants and some animals, and they often display temporal and spatial variability. We provide exact formulas to compute age-specific life expectancy and survivorship from stage-based data for three models of temporal variability: cycles, serially independent random variation, and a Markov chain. These models provide a comprehensive description of patterns of temporal variation. Our formulas describe the effects of cohort (birth) environmental condition on mortality at all ages, and of the effects on survivorship of environmental variability experienced over the course of life. This paper complements existing methods for time-invariant stage-based data, and adds to the information on population growth and dynamics available from stochastic demography.

Why Do We Stay? Career Rural Teachers' Burnout Compared to Personal Motivational Sources and Demographics

ERIC Educational Resources Information Center

Bell, David J.

2010-01-01

This study investigated the effects of individual motivational sources, demographics, and levels of burnout within career rural school teachers in Nebraska. The dependent variable was the psychological syndrome burnout as measured by the Maslach Burnout Inventory. Two independent variables were individual motivational sources (a personality trait…

Exploiting temporal variability to understand tree recruitment response to climate change

Treesearch

Ines Ibanez; James S. Clark; Shannon LaDeau; Janneke Hill Ris Lambers

2007-01-01

Predicting vegetation shifts under climate change is a challenging endeavor, given the complex interactions between biotic and abiotic variables that influence demographic rates. To determine how current trends and variation in climate change affect seedling establishment, we analyzed demographic responses to spatiotemporal variation to temperature and soil moisture in...

Attitudes toward Euthanasia as a Function of Death Fears and Demographic Variables.

ERIC Educational Resources Information Center

Slezak, Michael E.

1982-01-01

Studied the relationship of attitudes toward euthanasia to death fears and demographic variables in a sample of 100 adults. Found the strongest predictors of euthanasia attitude were age and amount of education. Suggests individuals who are more experienced with life and death have a more positive attitude toward euthanasia. (Author)

The Education of a Leader: Educational Credentials and Other Characteristics of Chief Executive Officers

ERIC Educational Resources Information Center

Martelli, Joseph; Abels, Patricia

2010-01-01

The authors identified and described the CEOs of Fortune 500 companies in terms of several education-related and other demographic variables. Specifically, they identified the type and level of degrees earned, including specific majors, and additionally explored several demographic variables, including age, gender and ethnicity. They also…

Demographic and Lifestyle Variables Associated with Obesity

ERIC Educational Resources Information Center

Worthy, Sheri L.; Lokken, Kristine; Pilcher, Kenneth; Boeka, Abbe

2010-01-01

Objective: Overweight and obesity rates are associated with chronic diseases and higher rates of disability and continue to rise in the United States and worldwide. The purpose of this study was to build on past research and further investigate demographic and lifestyle variables associated with increased body mass index (BMI: kg/m[squared]).…

Socio-Demographic Variables, General Psychological Well-Being and the Mental Health Continuum in an African Context

ERIC Educational Resources Information Center

Khumalo, I. P.; Temane, Q. M.; Wissing, M. P.

2012-01-01

Age, gender, marital status, education attainment, employment status, and environmental setting explain different amounts of variance in psychological well-being and mental health. Inconsistent findings are reported for the socio-demographic variables in psychological well-being depending amongst others on the definition and measurement of…

Relationships between Teacher Organizational Commitment, Psychological Hardiness and Some Demographic Variables in Turkish Primary Schools

ERIC Educational Resources Information Center

Sezgin, Ferudun

2009-01-01

Purpose: The purpose of this paper is to examine the relationships between teachers' organizational commitment perceptions and both their psychological hardiness and some demographic variables in a sample of Turkish primary schools. Design/methodology/approach: A total of 405 randomly selected teachers working at primary schools in Ankara…

The Role of Chance Events in the School-to-Work Transition: The Influence of Demographic, Personality and Career Development Variables

ERIC Educational Resources Information Center

Hirschi, Andreas

2010-01-01

Chance events are considered important in career development, yet little empirical research is available on their predictors and consequences. The present study investigated socio-demographic (gender, nationality, school-type), personality (openness, locus of control) and career development variables (career decidedness, career planning) in…

Emotion recognition and cognitive empathy deficits in adolescent offenders revealed by context-sensitive tasks

PubMed Central

Gonzalez-Gadea, Maria Luz; Herrera, Eduar; Parra, Mario; Gomez Mendez, Pedro; Baez, Sandra; Manes, Facundo; Ibanez, Agustin

2014-01-01

Emotion recognition and empathy abilities require the integration of contextual information in real-life scenarios. Previous reports have explored these domains in adolescent offenders (AOs) but have not used tasks that replicate everyday situations. In this study we included ecological measures with different levels of contextual dependence to evaluate emotion recognition and empathy in AOs relative to non-offenders, controlling for the effect of demographic variables. We also explored the influence of fluid intelligence (FI) and executive functions (EFs) in the prediction of relevant deficits in these domains. Our results showed that AOs exhibit deficits in context-sensitive measures of emotion recognition and cognitive empathy. Difficulties in these tasks were neither explained by demographic variables nor predicted by FI or EFs. However, performance on measures that included simpler stimuli or could be solved by explicit knowledge was either only partially affected by demographic variables or preserved in AOs. These findings indicate that AOs show contextual social-cognition impairments which are relatively independent of basic cognitive functioning and demographic variables. PMID:25374529

A Population-Based Study of the Prevalence and Correlates of Self-Harm in Juvenile Detention

PubMed Central

Hildahl, Keith; Katz, Laurence Y.; Bolton, James; Sareen, Jitender

2016-01-01

Background Suicide is the number one cause of death among incarcerated youth. We examined the demographic and forensic risk factors for self-harm in youth in juvenile detention using a Canadian provincial correctional database. Method We analyzed data from de-identified youth aged 12 to 18 at the time of their offense who were in custody in a Manitoba youth correctional facility between January 1, 2005 and December 30, 2010 (N = 5,102). Univariate and multivariate logistic regression analyses determined the association between staff-identified self-harm events in custody and demographic and custodial variables. Time to the event was examined based on the admission date and date of event. Results Demographic variables associated with self-harm included female sex, lower educational achievement, older age, and child welfare involvement. Custodial variables associated with self-harm included higher criminal severity profiles, younger age at first incarceration, longer sentence length, disruptive institutional behavior, and a history of attempting escape. Youth identified at entry as being at risk for suicide were more likely to self-harm. Events tended to occur earlier in the custodial admission. Interpretation Self-harm events tended to occur within the first 3 months of an admission stay. Youth with more serious offenses and disruptive behaviors were more likely to self-harm. Individuals with problematic custodial profiles were more likely to self-harm. Suicide screening identified youth at risk for self-harm. Strategies to identify and help youth at risk are needed. PMID:26760497

Treatment Expectation for Pain Coping Skills Training: Relationship to Osteoarthritis Patients' Baseline Psychosocial Characteristics

PubMed Central

Broderick, Joan E.; Junghaenel, Doerte U.; Schneider, Stefan; Bruckenthal, Patricia; Keefe, Francis J.

2010-01-01

Objectives This study examined predictors of treatment expectation among osteoarthritis (OA) patients in a multi-site clinical trial of pain coping strategies training (CST). Methods Patients (N=171) completed a pre-treatment assessment battery that asked questions about treatment expectations, pain coping variables, pain, physical function, psychological distress, quality of life, and depression as well as background demographic and medical variables. Results Regression analyses indicated that several variables accounted for 21% of the variance in treatment expectations (p < .0001). Patients who were classified as adaptive copers, reported higher self efficacy and social interaction, had higher quality of life, and who had lower levels of affective distress and depression had more positive expectations about engaging in pain coping skills training. Variables that were not associated with treatment expectation were level of pain and physical dysfunction, duration of disease, and disability status as well as demographic variables. Discussion Thus, while many OA patients will approach pain coping skills training with positive expectations, others have lower expectations. This study suggests that a multidimensional assessment of OA patients with chronic pain can identify those who have higher expectations versus lower expectations. The results suggest that patients who are psychologically distressed are less optimistic about engaging in treatment and that these patients, in particular, may benefit from and need pre-treatment motivational interviewing to enhance their uptake of pain coping skills PMID:21178591

An assessment of the impact of demographic, cognitive, and non-cognitive variables on student success in a community college science course

NASA Astrophysics Data System (ADS)

Mackey, Audrey Leroy

The impact of demographic, cognitive, and non-cognitive variables on academic success among community college science students was studied. Demographic variables included gender, employment status, and ethnicity. Cognitive variables included college grade point average, assessment status, course prerequisites, college course success ratios, final course grade, withdrawal patterns, and curriculum format. Non-cognitive variables included enrollment status, educational objectives, academic expectations, and career goals. The sample population included students enrolled in human anatomy courses (N = 191) at a large metropolitan community college located in central Texas. Variables that potentially influence attrition and achievement in college level science courses were examined. Final course grade and withdrawal phenomena were treated as dependent variables, while all other variables were treated as independent variables. No significant differences were found to exist between any of the demographic variables studied and the numbers of students who withdrew passing or failing. A difference was shown to be associated with the ethnicity variable and achievement levels. Educational objectives and career goals were shown to have an impact on the number of students who withdrew failing. The career goals variable and the academic expectations variable were shown to have an impact on achievement among daytime and evening students. College grade point average and course success ratios were shown to make a difference among students who withdrew passing. None of the other cognitive variables studied were shown to influence the numbers of students who withdrew passing or failing. College grade point average and course prerequisites, however, were shown to make a difference in achievement. The collaborative learning instructional format was found to have no impact on attrition or achievement, however, mean scores earned by students experiencing the collaborative learning format were higher than mean scores among other students. These results are extremely valuable when engaging in the process of developing advising strategies and instructional methodologies for community college science students.

Correlates Associated with Unipolar Depressive Disorders in a Latino Population

PubMed Central

Correa-Fernandez, Virmarie; Carrión-Baralt, José R.; Alegría, Margarita; Albizu-García, Carmen E.

2014-01-01

Background This study reports the comparison and associations of demographic, clinical, and psychosocial correlates with three unipolar depressive disorders: dysthymia (DYS), major depression (MD), and double depression (DD), and examines to which extent these variables predict the disorders. Sampling and Method Previously collected data from 563 adults from a community in Puerto Rico were analyzed. One hundred and thirty individuals with DYS, 260 with MD, and 173 with DD were compared by demographic variables, psychiatric and physical comorbidity, familial psychopathology, psychosocial stressors, functional impairment, self-reliance, problem recognition and formal use of mental health services. Multinomial regression was used to assess the association of the predictor variables with each of the three disorders. Results Similarities outweighed the discrepancies between disorders. The main differences observed were between MD and DD, while DYS shared common characteristics with both MD and DD. After other variables were controlled, anxiety, functional impairment, and problem recognition most strongly predicted a DD diagnosis while age predicted a DYS diagnosis. Conclusion MD, DYS, and DD are not completely different disorders but they do differ in key aspects that might be relevant for nosology, research, and practice. A dimensional system that incorporates specific categories of disorders would better reflect the different manifestations of unipolar depressive disorders. PMID:23006435

Anxiety, Depression and Hopelessness in Adolescents: A Structural Equation Model

PubMed Central

Cunningham, Shaylyn; Gunn, Thelma; Alladin, Assen; Cawthorpe, David

2008-01-01

Objective This study tested a structural model, examining the relationship between a latent variable termed demoralization and measured variables (anxiety, depression and hopelessness) in a community sample of Canadian youth. Methods The combined sample consisted of data collected from four independent studies from 2001 to 2005. Nine hundred and seventy one (n=971) participants were high school students (grades 10–12) from three geographic locations: Calgary, Saskatchewan and Lethbridge. Participants completed the Beck Anxiety Inventory (BAI), Beck Depression Inventory-Revised (BDI-II), Beck Hopelessness Scale (BHS), and demographic survey. Structural equation modeling was used for statistical analysis. Results The analysis revealed that the final model, including depression, anxiety and hopelessness and one latent variable demoralization, fit the data (chi-square value, X2 (2) = 7.25, p< .001, goodness of fit indices (CFI=0.99, NFI=0.98) and standardized error (0.05). Overall, the findings suggest that close relationships exist among depression, anxiety, hopelessness and demoralization that is stable across demographic variables. Further, the model explains the relationship between sub-clinical anxiety, depression and hopelessness. Conclusion These findings contribute to a theoretical framework, which has implications for educational and clinical intervention. The present findings will help guide further preventative research on examining demoralization as a precursor to sub-clinical anxiety and depression. PMID:18769644

Employment among Working-Age Adults with Multiple Sclerosis: A Data-Mining Approach to Identifying Employment Interventions

ERIC Educational Resources Information Center

Bishop, Malachy; Chan, Fong; Rumrill, Phillip D., Jr.; Frain, Michael P.; Tansey, Timothy N.; Chiu, Chung-Yi; Strauser, David; Umeasiegbu, Veronica I.

2015-01-01

Purpose: To examine demographic, functional, and clinical multiple sclerosis (MS) variables affecting employment status in a national sample of adults with MS in the United States. Method: The sample included 4,142 working-age (20-65 years) Americans with MS (79.1% female) who participated in a national survey. The mean age of participants was…

Predicting Success for College Students Enrolled in an Online, Lab-Based, Biology Course for Non-Majors

ERIC Educational Resources Information Center

Foster, Regina

2012-01-01

Online education has exploded in popularity. While there is ample research on predictors of traditional college student success, little research has been done on effective methods of predicting student success in online education. In this study, a number of demographic variables including GPA, ACT, gender, age and others were examined to determine…

Source and Type of Support for In-School Physical Activity: Differential Patterns for Demographic Subgroups

ERIC Educational Resources Information Center

Kulik, Noel L.; Somers, Cheryl L.; Thomas, Erica; Martin, Jeffrey J.; Centeio, Erin E.; Garn, Alex C.; Shen, Bo; McCaughtry, Nathan

2015-01-01

Background: Results of prior research on social support (SS) for physical activity (PA) have been inconsistent. Purpose: The study aim was to expand the SS and PA literature by focusing on children, examining associated variables such as weight, race/ethnicity, and sex, and use objectively measured PA and inclusive targets of SS. Methods:…

Predictors of At-Risk Intoxication in a University Field Setting: Social Anxiety, Demographics, and Intentions

ERIC Educational Resources Information Center

Smith, Ryan C.; Bowdring, Molly A.; Geller, E. Scott

2015-01-01

Objective: The determinants of alcohol consumption among university students were investigated in a downtown field setting with blood alcohol content (BAC) as the dependent variable. Participants: In total, 521 participants completed a brief survey and had their BAC assessed during April 2013. Methods: Between 10:00 pm and 2:00 am, teams of…

Using data mining to predict success in a weight loss trial.

PubMed

Batterham, M; Tapsell, L; Charlton, K; O'Shea, J; Thorne, R

2017-08-01

Traditional methods for predicting weight loss success use regression approaches, which make the assumption that the relationships between the independent and dependent (or logit of the dependent) variable are linear. The aim of the present study was to investigate the relationship between common demographic and early weight loss variables to predict weight loss success at 12 months without making this assumption. Data mining methods (decision trees, generalised additive models and multivariate adaptive regression splines), in addition to logistic regression, were employed to predict: (i) weight loss success (defined as ≥5%) at the end of a 12-month dietary intervention using demographic variables [body mass index (BMI), sex and age]; percentage weight loss at 1 month; and (iii) the difference between actual and predicted weight loss using an energy balance model. The methods were compared by assessing model parsimony and the area under the curve (AUC). The decision tree provided the most clinically useful model and had a good accuracy (AUC 0.720 95% confidence interval = 0.600-0.840). Percentage weight loss at 1 month (≥0.75%) was the strongest predictor for successful weight loss. Within those individuals losing ≥0.75%, individuals with a BMI (≥27 kg m -2 ) were more likely to be successful than those with a BMI between 25 and 27 kg m -2 . Data mining methods can provide a more accurate way of assessing relationships when conventional assumptions are not met. In the present study, a decision tree provided the most parsimonious model. Given that early weight loss cannot be predicted before randomisation, incorporating this information into a post randomisation trial design may give better weight loss results. © 2017 The British Dietetic Association Ltd.

Understanding academic clinicians’ intent to treat pediatric obesity

PubMed Central

Frankfurter, Claudia; Cunningham, Charles; Morrison, Katherine M; Rimas, Heather; Bailey, Karen

2017-01-01

AIM To examine the extent to which the theory of planned behavior (TPB) predicts academic clinicians’ intent to treat pediatric obesity. METHODS A multi-disciplinary panel iteratively devised a Likert scale survey based on the constructs of the TPB applied to a set of pediatric obesity themes. A cross-sectional electronic survey was then administered to academic clinicians at tertiary care centers across Canada from January to April 2012. Descriptive statistics were used to summarize demographic and item agreement data. A hierarchical linear regression analysis controlling for demographic variables was conducted to examine the extent to which the TPB subscales predicted intent to treat pediatric obesity. RESULTS A total of 198 physicians, surgeons, and allied health professionals across Canada (British Columbia, Alberta, Manitoba, Saskatchewan, Nova Scotia, Ontario and Quebec) completed the survey. On step 1, demographic factors accounted for 7.4% of the variance in intent scores. Together in step 2, demographic variables and TPB subscales predicted 56.9% of the variance in a measure of the intent to treat pediatric obesity. Perceived behavioral control, that is, confidence in one’s ability to manage pediatric obesity, and subjective norms, congruent with one’s context of practice, were the most significant predictors of the intent to treat pediatric obesity. Attitudes and barriers did not predict the intent to treat pediatric obesity in this context. CONCLUSION Enhancing self-confidence in the ability to treat pediatric obesity and the existence of supportive treatment environments are important to increase clinician’s intent to treat pediatric obesity. PMID:28224097

Self-Construal and Demographic Variables as Predictors of Blind and Constructive Patriotism in University Students

ERIC Educational Resources Information Center

Ercan, Hülya

2017-01-01

The aim of this study is to investigate the blind and constructive patriotism tendencies of university students in light of the demographic structure and variables. The investigation is performed by using the correlational descriptive model. The purposeful sampling technique has been used and data was collected from a total of 390 university…

Turkish College Students' Subjective Wellbeing in Regard to Psychological Strengths and Demographic Variables: Implications for College Counseling

ERIC Educational Resources Information Center

Sivis-Cetinkaya, Rahsan

2013-01-01

This study investigated Turkish college students' subjective wellbeing in regard to psychological strength and demographic variables. A sample of Turkish college students (N?=?1,052) aged 17-32 (mean age = 21, SD = 1.79) was administered various psychological strength instruments--the Gratitude Scale, the Rosenberg Self Esteem Inventory, the…

The Impact of Selected Academic and Demographic Variables on Mathematics College Readiness Predicted by ACT

ERIC Educational Resources Information Center

Smith, Marcia

2013-01-01

The purpose of the study was to determine the degree to which academic and demographic variables affected the ACT results used in determining college readiness. This quantitative research study followed a non-experimental correlational design. A multiple regression was used to analyze archival data to determine the impact the combined Arkansas…

Vulnerability of white spruce tree growth in interior Alaska in response to climate variability: dendrochronological, demographic, and experimental perspectives

Treesearch

A.D. McGuire; R.W. Ruess; A. Lloyd; J. Yarie; J.S. Clein; G.P. Juday

2010-01-01

This paper integrates dendrochronological, demographic, and experimental perspectives to improve understanding of the response of white spruce (Picea glauca (Moench) Voss) tree growth to climatic variability in interior Alaska. The dendrochronological analyses indicate that climate warming has led to widespread declines in white spruce growth...

Korean Families in America: Their Family Language Policies and Home-Language Maintenance

ERIC Educational Resources Information Center

Kang, Hyun-Sook

2015-01-01

This study examined the family language policies (FLP) of Korean American parents and how the language practice, management, and ideology components of their FLP and demographic variables predict maintenance of the home language. Results of a large-scale (N = 480) survey show that different sets of FLP and demographic variables contributed to a…

Demographic Variables and Fathers' Involvement with Their Child with Disabilities

ERIC Educational Resources Information Center

Bragiel, Józefa; Kaniok, Przemyslaw E.

2014-01-01

The main purpose of this study is to examine whether fathers' involvement with their child with disabilities is correlated with some of the demographic variables. Data were collected from 243 Polish fathers who were married and who had at least one child with disabilities. The issue was assessed by two measures: a Questionnaire and the Father…

Academic, Socio-Emotional and Demographic Characteristics of Adolescents Involved in Traditional Bullying, Cyberbullying, or Both: Looking at Variables and Persons

ERIC Educational Resources Information Center

Solomontos-Kountouri, Olga; Tsagkaridis, Konstantinos; Gradinger, Petra; Strohmeier, Dagmar

2017-01-01

The present paper (1) examined variables, which could predict traditional bullying, cyberbullying, traditional victimization and cybervictimization and (2) looked at persons to examine whether academic, socio-emotional and demographic characteristics differed between traditional, cyber and mixed bullies, victims and bully-victims. A sample of…

The Relationship between Attitudes, Knowledge, and Demographic Variables of High School Teachers Regarding Food Irradiation

ERIC Educational Resources Information Center

Thompson, B. M.; Ribera, K. P.; Wingenbach, G. J.; Vestal, T. A.

2007-01-01

The purpose of this study was to use a validated instrument to determine the attitudes and knowledge of high school teachers regarding food irradiation, and to determine the correlations among their knowledge and attitudes and certain demographic variables. Knowledge and attitudes about food irradiation were measured in selected high school family…

Factors affecting unmet need for family planning in southern nations, nationalities and peoples region, ethiopia.

PubMed

Hailemariam, Assefa; Haddis, Fikrewold

2011-07-01

High fertility and low contraceptive prevalence characterize Southern Nations, Nationalities and Peoples Region. In such populations, unmet needs for contraception have a tendency to be high, mainly due to the effect of socio-economic and demographic variables. However, there has not been any study examining the relationship between these variables and unmet need in the region. This study, therefore, identifies the key socio- demographic determinants of unmet need for family planning in the region. The study used data from the 2000 and 2005 Ethiopian Demographic and Health Surveys. A total of 2,133 currently married women age 15-49 from the 2000 survey and 1,988 from the 2005 survey were included in the study. Unmet need for spacing, unmet need for limiting and total unmet need were used as dependent variables. Socio- demographic variables (respondent's age, age at marriage, number of living children, sex composition of living children, child mortality experience, place of residence, respondent's and partner's education, religion and work status) were treated as explanatory variables and their relative importance was examined on each of the dependent variables using multinomial and binary logistic regression models. Unmet need for contraception increased from 35.1% in 2000 to 37.4% in 2005. Unmet need for spacing remained constant at about 25%, while unmet need for limiting increased by 20% between 2000 and 2005. Age, age at marriage, number of living children, place of residence, respondent's education, knowledge of family planning, respondent's work status, being visited by a family planning worker and survey year emerged as significant factors affecting unmet need. On the other hand, number of living children, education, age and age at marriage were the only explanatory variables affecting unmet need for limiting. Number of living children, place of residence, age and age at marriage were also identified as factors affecting total unmet need for contraception. unmet need for spacing is more prevalent than unmet need for limiting. Women with unmet need for both spacing and limiting are more likely to be living in rural areas, have lower level of education, lower level of knowledge about family planning methods, have no work other than household chores, and have never been visited by a family planning worker. In order to address unmet need for family planning in the region, policy should set mechanisms to enforce the law on minimum age for marriage, improve child survival and increase educational access to females. In addition, the policy should promote awareness creation about family planning in rural areas.

Occupational and non-occupational factors associated with work-related injuries among construction workers in the USA

PubMed Central

Dong, Xiuwen Sue; Wang, Xuanwen; Largay, Julie A.

2015-01-01

Background: Many factors contribute to occupational injuries. However, these factors have been compartmentalized and isolated in most studies. Objective: To examine the relationship between work-related injuries and multiple occupational and non-occupational factors among construction workers in the USA. Methods: Data from the 1988–2000 National Longitudinal Survey of Youth, 1979 cohort (N = 12,686) were analyzed. Job exposures and health behaviors were examined and used as independent variables in four multivariate logistic regression models to identify associations with occupational injuries. Results: After controlling for demographic variables, occupational injuries were 18% (95% CI: 1.04–1.34) more likely in construction than in non-construction. Blue-collar occupations, job physical efforts, multiple jobs, and long working hours accounted for the escalated risk in construction. Smoking, obesity/overweight, and cocaine use significantly increased the risk of work-related injury when demographics and occupational factors were held constant. Conclusions: Workplace injuries are better explained by simultaneously examining occupational and non-occupational characteristics. PMID:25816923

Detecting concerted demographic response across community assemblages using hierarchical approximate Bayesian computation.

PubMed

Chan, Yvonne L; Schanzenbach, David; Hickerson, Michael J

2014-09-01

Methods that integrate population-level sampling from multiple taxa into a single community-level analysis are an essential addition to the comparative phylogeographic toolkit. Detecting how species within communities have demographically tracked each other in space and time is important for understanding the effects of future climate and landscape changes and the resulting acceleration of extinctions, biological invasions, and potential surges in adaptive evolution. Here, we present a statistical framework for such an analysis based on hierarchical approximate Bayesian computation (hABC) with the goal of detecting concerted demographic histories across an ecological assemblage. Our method combines population genetic data sets from multiple taxa into a single analysis to estimate: 1) the proportion of a community sample that demographically expanded in a temporally clustered pulse and 2) when the pulse occurred. To validate the accuracy and utility of this new approach, we use simulation cross-validation experiments and subsequently analyze an empirical data set of 32 avian populations from Australia that are hypothesized to have expanded from smaller refugia populations in the late Pleistocene. The method can accommodate data set heterogeneity such as variability in effective population size, mutation rates, and sample sizes across species and exploits the statistical strength from the simultaneous analysis of multiple species. This hABC framework used in a multitaxa demographic context can increase our understanding of the impact of historical climate change by determining what proportion of the community responded in concert or independently and can be used with a wide variety of comparative phylogeographic data sets as biota-wide DNA barcoding data sets accumulate. © The Author 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

Tic Related Activity Restriction as a Predictor of Emotional Functioning and Quality of Life

PubMed Central

Conelea, Christine A.; Busch, Andrew M.; Catanzaro, Mark A.; Budman, Cathy L.

2013-01-01

Objectives Tourette Syndrome (TS) is a chronic neuropsychiatric condition that frequently persists into adulthood. Existing research has identified demographic and symptom-level variables associated with psychopathology and poor quality of life in TS. However, behavior patterns associated with enhanced or adaptive psychological and global functioning among adults with TS have yet to be empirically identified. The current study examined whether tic-specific activity restriction is related to emotional functioning and quality of life in adults with TS. Methods Participants were 509 adults from the Tourette Syndrome Impact Survey who completed self-report measures of demographics, tic severity, emotional functioning, quality of life, and tic related general and social activity restriction. Results Partial correlations controlling for tic severity indicated that tic related general and social activity restriction were significantly correlated with lower quality of life and poorer emotional functioning. Hierarchical linear regression models indicated that activity restriction significantly predicted lower quality of life and poorer emotional functioning when controlling for tic severity and demographic variables. Conclusions Adults who restrict fewer activities due to tics, regardless of tic severity, experience greater quality of life and better emotional functioning. Clinically, adults with chronic tics may benefit from interventions focused on enhancing engagement in valued life activities. PMID:24156871

Thinking Style as a Predictor of Men’s Participation in Cancer Screening

PubMed Central

McGuiness, Clare E.; Turnbull, Deborah; Wilson, Carlene; Duncan, Amy; Flight, Ingrid H.; Zajac, Ian

2016-01-01

Men’s participation in cancer screening may be influenced by their thinking style. Men’s need for cognition (NFC) and faith in intuition were measured to explore whether they varied by demographic variables or predicted screening behavior. Australian males (n = 585, aged 50-74 years) completed surveys about past screening and were subsequently offered mailed fecal occult blood tests (FOBTs). Demographic predictors included age, socioeconomic status, educational attainment, and language spoken at home. The screening behaviors were self-reported prostate cancer screening (prostate-specific antigen testing and digital rectal examinations [DREs]), and colorectal cancer screening (self-reported FOBT participation and recorded uptake of the FOBT offer). Analysis comprised principal component analysis and structural equation modelling. NFC was positively related to demographic variables education, socioeconomic status, and speaking English at home. Faith in intuition was negatively related to educational attainment. NFC predicted variance in self-reported DRE participation (r = .11, p = .016). No other relationships with thinking style were statistically significant. The relationship of NFC to DRE participation may reflect the way certain attributes of this screening method are processed, or alternatively, it may reflect willingness to report participation. The relationship of thinking style to a range of healthy behaviors should be further explored. PMID:27923966

The High Prevalence of Incarceration History Among Black Men Who Have Sex With Men in the United States: Associations and Implications

PubMed Central

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

Social capital and its relationship to self-perceived health: National health survey in Colombia 2007

PubMed Central

Amed-Salazar, Eustorgio José

2014-01-01

Objective: To analyze the self-reported perceived health related to socio-demographic characteristics, social health inequalities and social capital in Colombia. Methods: This study is a cross-sectional design; data was obtained from the National Health Survey of Colombia 2007. Independent variables: socio-demographic characteristics; component variables: social health inequality and social capital. Dependent variable: self-reported health. Analysis of the relationship used logistic regression through OR and its confidence interval. Results: The determinant factors for a negative health perceptions are related to being a female (OR: 0.49 [0.47 to 0.52]), and in both genders being older than 37 years of age (OR: 0.72 [0.61 to 0.85]), living without a partner, black ethnicity, indigenous women (0.80 [0.69 to 0.94] and low economic incomes. Discussion: The relationship between social determinants and social capital in the perception of health shows inequities and indirectly reflects the level of health. Given the policies and the model of health, requires a rational adjustment of the goals, programs, and national and regional strategies with the object of improving the demand and quality of services. PMID:24970954

[Modulating variables of work disability in depressive disorders].

PubMed

Catalina Romero, C; Cabrera Sierra, M; Sainz Gutiérrez, J C; Barrenechea Albarrán, J L; Madrid Conesa, A; Calvo Bonacho, E

2011-01-01

To describe the duration of sickness absence in unipolar depression and to determine the relationship of demographic, job-related and clinical variables with length of temporary work disability in depressive disorders. Prospective observational study. A total of 1,292 subjects with depressive disorder diagnosis (ICD-9-CM) were selected claiming sick leave in an Occupational Diseases and Accident sat Work Insurance Scheme (sampling on successive occasions). Descriptive analyses of sickness absence duration, and bivariate (median test) and multivariate analysis (logistic regression) were performed to find relationships between demographic, job-related and clinical variables. Mean duration of sickness absence episodes due to a depressive disorder was 120 days. After multivariate analyses, female sex (p < 0.01), higher age (p < 0.01), lower educational level (p < 0.01), method of payment according to whether self-employed or unemployed workers (p < 0.01) and being referred to both psychiatrist and psychologist (p < 0.01) remained significantly associated with sick leave length. These findings confirm a strong association of depression with long periods of work disability and high absenteeism, and also suggest the need for improvements in functional ability assessment and promotion, treatment and referral of depressed patients. Copyright © 2010 SECA. Published by Elsevier Espana. All rights reserved.

Self Management Behaviors in Rheumatoid Arthritis Patients and Associated Factors in Tehran 2013

PubMed Central

Kordasiabi, Mosharafeh Chaleshgar; Akhlaghi, Maassoumeh; Baghianimoghadam, Mohammad Hossein; Morowatisharifabad, Mohammad Ali; Askarishahi, Mohsen; Enjezab, Behnaz; Pajouhi, Zeinab

2016-01-01

Introduction: Rheumatoid Arthritis (RA) is a systemic, autoimmune and inflammatory disease with an unknown etiology that is associated with progressive joint degeneration, limitation of physical activity and disability. The aim of the study was to evaluate self-management behaviors and their associated factors in RA patients. Material and Method: This cross-sectional study was performed in 2013 on 185 patients in Iran. Data were selected through convenient sampling. The collected data included demographic variables, disease related variables, Arthritis Impact Measurement Scale 2 (AIMS-2SF), and Self-Management Behaviors (SMB). Data were analyzed by SPSS17 using Spearman correlation and logistic regression test. Result: In this study drug management, regular follow-up, and food supplement were used as the most frequently applied SMB and aquatic exercise, diet, massage therapy, and relaxation were the least common SMBs. Age, education, health status, occupation, marital status, sex, DAS28 (Disease Activity Score 28 joints), and PGA (Physician Global Assessment) were significantly related with SMB. Conclusion: The result of the study highlight the influence of demographic variables, health status, and disease related data on SMB. Thus, more studies are required to find factors influencing SMB in order to improve SMB. PMID:26493424

A sensitivity analysis on the variability in accelerometer data processing for monitoring physical activity.

PubMed

Lee, Paul H

2015-02-01

Accelerometers are gaining popularity for measuring physical activity, but there are many different ways to process accelerometer data. A sensitivity analysis was conducted to study the effect of varying accelerometer data processing protocols on estimating the association between PA level and socio-demographic characteristics using the National Health and Nutrition Examination Survey (NHANES) accelerometer data. The NHANES waves 2003-2004 and 2005-2006 accelerometer data (n=14,072) were used to investigate the effect of changing the accelerometer non-wearing time and valid day definitions on the demographic composition of the filtered datasets and the association between physical activity (PA) and socio-demographic characteristics (sex, age, race, educational level, marital status). Under different filtering rules (minimum number of valid day and definition of non-wear time), the demographic characteristics of the final sample varied. The proportion of participants aged 20-29 decreased from 18.9% to 15.8% when the minimum number of valid days required increased from 1 to 4 (p for trend<0.001), whereas that for aged ≥70 years increased from 18.9% to 20.6% (p for trend<0.001). Furthermore, with different filters, the effect of these demographic variables and PA varied, with some variables being significant under certain filtering rules but becoming insignificant under some other rules. The sensitivity analysis showed that the significance of the association between socio-demographic variables and PA could be varied with the definition of non-wearing time and minimum number of valid days. Copyright © 2014 Elsevier B.V. All rights reserved.

[Environmental and demographic variables associated with psychiatric morbidity in former prisoners of war].

PubMed

Dethienne, F; Donnay, J M

1976-01-01

In this study, present psychiatric morbidity of 100 former prisoners of war is related to 28 environmental and demographic variables grouped in 3 periods: before, during and after WW2. With the exception of the invalidity percentage, all statistically significant relations concern variables of the first two periods. The present results are discussed at the light of former publications by the authors. It appears among others that the age variable has to be taken in consideration in the explanation of psychiatric sequels of captivity, and that the condition "invalid of war" poorly reflects the degree of psychiatric morbidity.

Learning style and concept acquisition of community college students in introductory biology

NASA Astrophysics Data System (ADS)

Bobick, Sandra Burin

This study investigated the influence of learning style on concept acquisition within a sample of community college students in a general biology course. There are two subproblems within the larger problem: (1) the influence of demographic variables (age, gender, number of college credits, prior exposure to scientific information) on learning style, and (2) the correlations between prior scientific knowledge, learning style and student understanding of the concept of the gene. The sample included all students enrolled in an introductory general biology course during two consecutive semesters at an urban community college. Initial data was gathered during the first week of the semester, at which time students filled in a short questionnaire (age, gender, number of college credits, prior exposure to science information either through reading/visual sources or a prior biology course). Subjects were then given the Inventory of Learning Processes-Revised (ILP-R) which measures general preferences in five learning styles; Deep Learning; Elaborative Learning, Agentic Learning, Methodical Learning and Literal Memorization. Subjects were then given the Gene Conceptual Knowledge pretest: a 15 question objective section and an essay section. Subjects were exposed to specific concepts during lecture and laboratory exercises. At the last lab, students were given the Genetics Conceptual Knowledge Posttest. Pretest/posttest gains were correlated with demographic variables and learning styles were analyzed for significant correlations. Learning styles, as the independent variable in a simultaneous multiple regression, were significant predictors of results on the gene assessment tests, including pretest, posttest and gain. Of the learning styles, Deep Learning accounted for the greatest positive predictive value of pretest essay and pretest objective results. Literal Memorization was a significant negative predictor for posttest essay, essay gain and objective gain. Simultaneous multiple regression indicated that demographic variables were significant positive predictors for Methodical, Deep and Elaborative Learning Styles. Stepwise multiple regression resulted in number of credits, Read Science and gender (female) as significant predictors of learning styles. The findings of this study emphasize the importance of learning styles in conceptual understanding of the gene and the correlation of nonformal exposure to science information with learning style and conceptual understanding.

Convenience samples and caregiving research: how generalizable are the findings?

PubMed

Pruchno, Rachel A; Brill, Jonathan E; Shands, Yvonne; Gordon, Judith R; Genderson, Maureen Wilson; Rose, Miriam; Cartwright, Francine

2008-12-01

We contrast characteristics of respondents recruited using convenience strategies with those of respondents recruited by random digit dial (RDD) methods. We compare sample variances, means, and interrelationships among variables generated from the convenience and RDD samples. Women aged 50 to 64 who work full time and provide care to a community-dwelling older person were recruited using either RDD (N = 55) or convenience methods (N = 87). Telephone interviews were conducted using reliable, valid measures of demographics, characteristics of the care recipient, help provided to the care recipient, evaluations of caregiver-care recipient relationship, and outcomes common to caregiving research. Convenience and RDD samples had similar variances on 68.4% of the examined variables. We found significant mean differences for 63% of the variables examined. Bivariate correlations suggest that one would reach different conclusions using the convenience and RDD sample data sets. Researchers should use convenience samples cautiously, as they may have limited generalizability.

Psychometric and demographic predictors of the perceived risk of terrorist threats and the willingness to pay for terrorism risk management programs.

PubMed

Mumpower, Jeryl L; Shi, Liu; Stoutenborough, James W; Vedlitz, Arnold

2013-10-01

A 2009 national telephone survey of 924 U.S. adults assessed perceptions of terrorism and homeland security issues. Respondents rated severity of effects, level of understanding, number affected, and likelihood of four terrorist threats: poisoned water supply; explosion of a small nuclear device in a major U.S. city; an airplane attack similar to 9/11; and explosion of a bomb in a building, train, subway, or highway. Respondents rated perceived risk and willingness to pay (WTP) for dealing with each threat. Demographic, attitudinal, and party affiliation data were collected. Respondents rated bomb as highest in perceived risk but gave the highest WTP ratings to nuclear device. For both perceived risk and WTP, psychometric variables were far stronger predictors than were demographic ones. OLS regression analyses using both types of variables to predict perceived risk found only two significant demographic predictors for any threat--Democrat (a negative predictor for bomb) and white male (a significant positive predictor for airline attack). In contrast, among psychometric variables, severity, number affected, and likelihood were predictors of all four threats and level of understanding was a predictor for one. For WTP, education was a negative predictor for three threats; no other demographic variables were significant predictors for any threat. Among psychometric variables, perceived risk and number affected were positive predictors of WTP for all four threats; severity and likelihood were predictors for three; level of understanding was a significant predictor for two. © 2013 Society for Risk Analysis.

A Model to Predict Shopper Reaction to Commissary Stockouts

DTIC Science & Technology

1989-12-01

consumer behavior brought about by inflation. Because food items doubled in price during the 1970s, these authors focus their study on the purchase...situation, and shopper characteristics - were used to predict consumer behavior . The investigative questions which addressed demographics used ten...demographic variables in an attempt to predict consumer behavior . The variables were sex, age, education, household description, number of children

Examination of the Relationship among Different Dimensions of Trait Anxiety, Demographic Variables, and Self-Reported School Adjustment in Elementary and Secondary School Students

ERIC Educational Resources Information Center

Witteborg, Kristin M.; Lowe, Patricia A.; Lee, Steven W.

2009-01-01

The purpose of this exploratory study was to examine the relationship among different dimensions of trait anxiety (social concerns, physiological anxiety, and worry/oversensitivity), demographic variables (age and gender), and school adjustment (attitude to school and attitude to teachers) in children and adolescents. The study participants,…

Lecturers' Job Satisfaction in a Public Tertiary Institution in Singapore: Ambivalent and Non-Ambivalent Relationships between Job Satisfaction and Demographic Variables

ERIC Educational Resources Information Center

Paul, Emily Pakivathy; Phua, Seok Kheng

2011-01-01

Increasing lecturer turnover rates and fewer qualified recruits choosing a career in academia threaten the integrity of the tertiary education system in Singapore. The purpose of this study was to ascertain the relationship between lecturers' job satisfaction levels in a public tertiary institution and selected demographic variables. The study…

The Impact of Perceptual, Economic, and Demographic Variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data

ERIC Educational Resources Information Center

Adams, Kenneth Raymond

2016-01-01

Leveraging a sample of more than 198,000 adult entrepreneurs, both currently involved in the startup of a business or formerly involved in business creation, this study investigates the perceptual, societal impression, economic, and demographic variables that are predictive with an individual's decision to engage in entrepreneurial activity.…

How is food insecurity associated with dietary behaviors? An analysis with low income, ethnically diverse participants in a nutrition intervention study

PubMed Central

Mello, Jennifer A.; Gans, Kim M.; Risica, Patricia M.; Kirtania, Usree; Strolla, Leslie O.; Fournier, Leanne

2010-01-01

Food insecurity has been associated with a lower nutrient intake as well as a lower intake of fruits and vegetables. However, little is known about the association of food insecurity and dietary behaviors, including food choices and preparation methods. This study examines the relationship between food insecurity and dietary behaviors of low income adults (N = 1874, 55% Hispanic) who completed the baseline telephone survey for a nutrition education study. From April 2003 to August 2004, data were collected on demographics and food security status and validated dietary measures: fruit and vegetable screener and Food Habits Questionnaire (FHQ) were used to assess fat-related behaviors (food choices or preparation methods that lead to an increase or decrease in fat intake). Chi square tests were conducted to compare each demographic variable by food security status. Univariate linear regression models examined dietary variables by food security status in univariate models initially, then in multivariable models adjusting for demographics. Half of participants reported food insecurity. FHQ scores were significantly greater in the food insecure group, reflecting a higher fat intake (P<0.05). Fruit (with juice) intake was significantly greater in the food insecure participants reflecting increased juice intake (P<0.05). Food insecure individuals reported a higher juice intake and a lower frequency of fat-lowering behaviors. Future interventions with food insecure individuals should include nutrition education as well as efforts to increase access and availability to healthier foods. Further qualitative and quantitative research is needed on the relationship between diet and food insecurity. PMID:21111099

Comparing respondent-driven sampling and targeted sampling methods of recruiting injection drug users in San Francisco.

PubMed

Kral, Alex H; Malekinejad, Mohsen; Vaudrey, Jason; Martinez, Alexis N; Lorvick, Jennifer; McFarland, Willi; Raymond, H Fisher

2010-09-01

The objective of this article is to compare demographic characteristics, risk behaviors, and service utilization among injection drug users (IDUs) recruited from two separate studies in San Francisco in 2005, one which used targeted sampling (TS) and the other which used respondent-driven sampling (RDS). IDUs were recruited using TS (n = 651) and RDS (n = 534) and participated in quantitative interviews that included demographic characteristics, risk behaviors, and service utilization. Prevalence estimates and 95% confidence intervals (CIs) were calculated to assess whether there were differences in these variables by sampling method. There was overlap in 95% CIs for all demographic variables except African American race (TS: 45%, 53%; RDS: 29%, 44%). Maps showed that the proportion of IDUs distributed across zip codes were similar for the TS and RDS sample, with the exception of a single zip code that was more represented in the TS sample. This zip code includes an isolated, predominantly African American neighborhood where only the TS study had a field site. Risk behavior estimates were similar for both TS and RDS samples, although self-reported hepatitis C infection was lower in the RDS sample. In terms of service utilization, more IDUs in the RDS sample reported no recent use of drug treatment and syringe exchange program services. Our study suggests that perhaps a hybrid sampling plan is best suited for recruiting IDUs in San Francisco, whereby the more intensive ethnographic and secondary analysis components of TS would aid in the planning of seed placement and field locations for RDS.

Inferring the demographic history from DNA sequences: An importance sampling approach based on non-homogeneous processes.

PubMed

Ait Kaci Azzou, S; Larribe, F; Froda, S

2016-10-01

In Ait Kaci Azzou et al. (2015) we introduced an Importance Sampling (IS) approach for estimating the demographic history of a sample of DNA sequences, the skywis plot. More precisely, we proposed a new nonparametric estimate of a population size that changes over time. We showed on simulated data that the skywis plot can work well in typical situations where the effective population size does not undergo very steep changes. In this paper, we introduce an iterative procedure which extends the previous method and gives good estimates under such rapid variations. In the iterative calibrated skywis plot we approximate the effective population size by a piecewise constant function, whose values are re-estimated at each step. These piecewise constant functions are used to generate the waiting times of non homogeneous Poisson processes related to a coalescent process with mutation under a variable population size model. Moreover, the present IS procedure is based on a modified version of the Stephens and Donnelly (2000) proposal distribution. Finally, we apply the iterative calibrated skywis plot method to a simulated data set from a rapidly expanding exponential model, and we show that the method based on this new IS strategy correctly reconstructs the demographic history. Copyright © 2016. Published by Elsevier Inc.

Prediction of thoracic injury severity in frontal impacts by selected anatomical morphomic variables through model-averaged logistic regression approach.

PubMed

Zhang, Peng; Parenteau, Chantal; Wang, Lu; Holcombe, Sven; Kohoyda-Inglis, Carla; Sullivan, June; Wang, Stewart

2013-11-01

This study resulted in a model-averaging methodology that predicts crash injury risk using vehicle, demographic, and morphomic variables and assesses the importance of individual predictors. The effectiveness of this methodology was illustrated through analysis of occupant chest injuries in frontal vehicle crashes. The crash data were obtained from the International Center for Automotive Medicine (ICAM) database for calendar year 1996 to 2012. The morphomic data are quantitative measurements of variations in human body 3-dimensional anatomy. Morphomics are obtained from imaging records. In this study, morphomics were obtained from chest, abdomen, and spine CT using novel patented algorithms. A NASS-trained crash investigator with over thirty years of experience collected the in-depth crash data. There were 226 cases available with occupants involved in frontal crashes and morphomic measurements. Only cases with complete recorded data were retained for statistical analysis. Logistic regression models were fitted using all possible configurations of vehicle, demographic, and morphomic variables. Different models were ranked by the Akaike Information Criteria (AIC). An averaged logistic regression model approach was used due to the limited sample size relative to the number of variables. This approach is helpful when addressing variable selection, building prediction models, and assessing the importance of individual variables. The final predictive results were developed using this approach, based on the top 100 models in the AIC ranking. Model-averaging minimized model uncertainty, decreased the overall prediction variance, and provided an approach to evaluating the importance of individual variables. There were 17 variables investigated: four vehicle, four demographic, and nine morphomic. More than 130,000 logistic models were investigated in total. The models were characterized into four scenarios to assess individual variable contribution to injury risk. Scenario 1 used vehicle variables; Scenario 2, vehicle and demographic variables; Scenario 3, vehicle and morphomic variables; and Scenario 4 used all variables. AIC was used to rank the models and to address over-fitting. In each scenario, the results based on the top three models and the averages of the top 100 models were presented. The AIC and the area under the receiver operating characteristic curve (AUC) were reported in each model. The models were re-fitted after removing each variable one at a time. The increases of AIC and the decreases of AUC were then assessed to measure the contribution and importance of the individual variables in each model. The importance of the individual variables was also determined by their weighted frequencies of appearance in the top 100 selected models. Overall, the AUC was 0.58 in Scenario 1, 0.78 in Scenario 2, 0.76 in Scenario 3 and 0.82 in Scenario 4. The results showed that morphomic variables are as accurate at predicting injury risk as demographic variables. The results of this study emphasize the importance of including morphomic variables when assessing injury risk. The results also highlight the need for morphomic data in the development of human mathematical models when assessing restraint performance in frontal crashes, since morphomic variables are more "tangible" measurements compared to demographic variables such as age and gender. Copyright © 2013 Elsevier Ltd. All rights reserved.

The influence of demographic characteristics, living conditions, and trauma exposure on the overall health of a conflict-affected population in Southern Sudan

PubMed Central

2010-01-01

Background There remains limited evidence on how armed conflict affects overall physical and mental well-being rather than specific physical or mental health conditions. The aim of this study was to investigate the influence of demographic characteristics, living conditions, and violent and traumatic events on general physical and mental health in Southern Sudan which is emerging from 20 years of armed conflict. Methods A cross-sectional survey of 1228 adults was conducted in November 2007 in the town of Juba, the capital of Southern Sudan. Multivariate linear regression analysis was used to investigate the associations and relative influence of variables in three models of demographic characteristics, living conditions, and trauma exposure, on general physical and mental health status. These models were run separately and also as a combined model. Data quality and the internal consistency of the health status instrument (SF-8) were assessed. Results The variables in the multivariate analysis (combined model) with negative coefficients of association with general physical health and mental health (i.e. worse health), respectively, were being female (coef. -2.47; -2.63), higher age (coef.-0.16; -0.17), absence of soap in the household (physical health coef. -2.24), and experiencing within the past 12 months a lack of food and/or water (coef. -1.46; -2.27) and lack of medical care (coef.-3.51; -3.17). A number of trauma variables and cumulative exposure to trauma showed an association with physical and mental health (see main text for data). There was limited variance in results when each of the three models were run separately and when they were combined, suggesting the pervasive influence of these variables. The SF-8 showed good data quality and internal consistency. Conclusions This study provides evidence on the pervasive influence of demographic characteristics, living conditions, and violent and traumatic events on the general physical and mental health of a conflict-affected population in Southern Sudan, and highlights the importance of addressing all these influences on overall health. PMID:20799956

Prediction of the Dimensions of the Spiritual Well-Being of Students at Kermanshah University of Medical Sciences, Iran: The Roles of Demographic Variables

PubMed Central

Ziapour, Arash; Jafari, Faranak; Kianipour, Neda

2017-01-01

Introduction Spiritual well-being is one of the aspects of well-being which organize the physical, psychological, and social aspects. Given the outstanding and unique roles of students in society, providing spiritual well-being as well as identifying and eliminating the negative factors affecting their mental well-being are of the essence. Aim The present study aimed to predict the dimensions of the spiritual well-being of students at Kermanshah University of Medical Sciences and to investigate the roles of demographic variables in this respect. Materials and Methods In this descriptive and correlational study, the statistical population was comprised of 346 doctoral students in the for-profit Schools of Medicine, Dentistry and Pharmaceuticals in Kermanshah University of Medical Sciences in 2016. For data collection, an instrument comprising the demographic questions and the 20-item spiritual well-being scale by Paloutzian and Ellison (1982) was utilized. To analyze data, the descriptive (frequency distribution, mean, and standard deviation) and inferential statistics (independent t-test, one-way ANOVA, and chi-squared test) were employed in the SPSS Statistics Software Version 21.0. Results The results of the present study demonstrated that the spiritual well-being of students was average (71.86±4.84), and of all demographic variables under study, only the variable of gender significantly correlated with the mean score of spiritual well-being. Also, the results revealed that the students’ score of religious well-being measured higher than that of their existential well-being. However, a significant correlation was found between spiritual well-being and its dimensions. Also, the religious and existential well-being were found to be significantly related (p<0.05). Conclusion The results of the present study showed the significance of addressing the issue of spirituality among the students of the for-profit Schools at Kermanshah University of Medical Sciences. Therefore, it is recommended that appropriate plans be laid by the culture and education policy makers to promote the spiritual well-being of university students. PMID:28893021

Some methodological issues in the longitudinal analysis of demographic data.

PubMed

Krishinan, P

1982-12-01

Most demographic data are macro (or aggregate) in nature. Some relevant methodological issues are presented here in a time series study using aggregate data. The micro-macro distinction is relative. Time enters into the micro and macro variables in different ways. A simple micro model of rural-urban migration is given. Method 1 is to assume homogeneity in behavior. Method 2 is a Bayesian estimation. A discusssion of the results follows. Time series models of aggregate data are given. The nature of the model--predictive or explanatory--must be decided on. Explanatory models in longitudinal studies have been developed. Ways to go to the micro level from the macro are discussed. The aggregation-disaggregation problem in demography is not similar to that in econometrics. To understand small populations, separate micro level data have to be collected and analyzed and appropriate models developed. Both types of models have their uses.

Women's perceptions of their male batterers' characteristics and level of violence.

PubMed

Torres, Sara; Han, Hae-Ra

2003-01-01

This article describes the characteristics of male perpetrators of domestic violence and their relationship to the level of violence. The data about the male partners obtained from 151 battered women were used for this analysis. Using multiple regression, demographic variables and three behavioral indicators, including use of alcohol before a violent episode, history of arrests, and the generality of violence, were examined together for their relationship with the violence scores. With the level of violence as measured by the Conflict Tactics Scale (CTS) as the dependent variable, demographic variables explained 19.1% of the variability, with the behavioral indicators accounting for an additional 4.6% of the variability. Several research and clinical implications are addressed.

A statistical assessment of population trends for data deficient Mexican amphibians

PubMed Central

Thessen, Anne E.; Arias-Caballero, Paulina; Ayala-Orozco, Bárbara

2014-01-01

Background. Mexico has the world’s fifth largest population of amphibians and the second country with the highest quantity of threatened amphibian species. About 10% of Mexican amphibians lack enough data to be assigned to a risk category by the IUCN, so in this paper we want to test a statistical tool that, in the absence of specific demographic data, can assess a species’ risk of extinction, population trend, and to better understand which variables increase their vulnerability. Recent studies have demonstrated that the risk of species decline depends on extrinsic and intrinsic traits, thus including both of them for assessing extinction might render more accurate assessment of threats. Methods. We harvested data from the Encyclopedia of Life (EOL) and the published literature for Mexican amphibians, and used these data to assess the population trend of some of the Mexican species that have been assigned to the Data Deficient category of the IUCN using Random Forests, a Machine Learning method that gives a prediction of complex processes and identifies the most important variables that account for the predictions. Results. Our results show that most of the data deficient Mexican amphibians that we used have decreasing population trends. We found that Random Forests is a solid way to identify species with decreasing population trends when no demographic data is available. Moreover, we point to the most important variables that make species more vulnerable for extinction. This exercise is a very valuable first step in assigning conservation priorities for poorly known species. PMID:25548736

A statistical assessment of population trends for data deficient Mexican amphibians.

PubMed

Quintero, Esther; Thessen, Anne E; Arias-Caballero, Paulina; Ayala-Orozco, Bárbara

2014-01-01

Background. Mexico has the world's fifth largest population of amphibians and the second country with the highest quantity of threatened amphibian species. About 10% of Mexican amphibians lack enough data to be assigned to a risk category by the IUCN, so in this paper we want to test a statistical tool that, in the absence of specific demographic data, can assess a species' risk of extinction, population trend, and to better understand which variables increase their vulnerability. Recent studies have demonstrated that the risk of species decline depends on extrinsic and intrinsic traits, thus including both of them for assessing extinction might render more accurate assessment of threats. Methods. We harvested data from the Encyclopedia of Life (EOL) and the published literature for Mexican amphibians, and used these data to assess the population trend of some of the Mexican species that have been assigned to the Data Deficient category of the IUCN using Random Forests, a Machine Learning method that gives a prediction of complex processes and identifies the most important variables that account for the predictions. Results. Our results show that most of the data deficient Mexican amphibians that we used have decreasing population trends. We found that Random Forests is a solid way to identify species with decreasing population trends when no demographic data is available. Moreover, we point to the most important variables that make species more vulnerable for extinction. This exercise is a very valuable first step in assigning conservation priorities for poorly known species.

General Economic and Demographic Background and Projections for Indiana Library Services.

ERIC Educational Resources Information Center

Foust, James D.; Tower, Carl B.

Before future library needs can be estimated, economic and demographic variables that influence the demand for library services must be projected and estimating equations relating library needs to economic and demographic parameters developed. This study considers the size, location and age-sex characteristics of Indiana's current population and…

Psychosocial and demographic predictors of fruit, juice and vegetable consumption among 11-14-year-old Boy Scouts

USDA-ARS?s Scientific Manuscript database

Psychosocial and demographic correlates of fruit, juice, and vegetable (FJV) consumption were investigated to guide how to increase FJV intake. Experimental design consisted of hierarchical multiple regression analysis of FJV consumption on demographics and psychosocial variables. Subjects were boys...

Associations between socio-demographic characteristics and chemical concentrations contributing to cumulative exposures in the United States.

PubMed

Huang, Hongtai; Tornero-Velez, Rogelio; Barzyk, Timothy M

2017-11-01

Association rule mining (ARM) has been widely used to identify associations between various entities in many fields. Although some studies have utilized it to analyze the relationship between chemicals and human health effects, fewer have used this technique to identify and quantify associations between environmental and social stressors. Socio-demographic variables were generated based on U.S. Census tract-level income, race/ethnicity population percentage, education level, and age information from the 2010-2014, 5-Year Summary files in the American Community Survey (ACS) database, and chemical variables were generated by utilizing the 2011 National-Scale Air Toxics Assessment (NATA) census tract-level air pollutant exposure concentration data. Six mobile- and industrial-source pollutants were chosen for analysis, including acetaldehyde, benzene, cyanide, particulate matter components of diesel engine emissions (namely, diesel PM), toluene, and 1,3-butadiene. ARM was then applied to quantify and visualize the associations between the chemical and socio-demographic variables. Census tracts with a high percentage of racial/ethnic minorities and populations with low income tended to have higher estimated chemical exposure concentrations (fourth quartile), especially for diesel PM, 1,3-butadiene, and toluene. In contrast, census tracts with an average population age of 40-50 years, a low percentage of racial/ethnic minorities, and moderate-income levels were more likely to have lower estimated chemical exposure concentrations (first quartile). Unsupervised data mining methods can be used to evaluate potential associations between environmental inequalities and social disparities, while providing support in public health decision-making contexts.

Psychosocial and demographic factors influencing pain scores of patients with knee osteoarthritis

PubMed Central

2018-01-01

Background Pain levels in patients with osteoarthritis (OA) of the knee are commonly assessed by using a numeric scoring system, but results may be influenced by factors other than the patient’s actual physical discomfort or disease severity, including psychosocial and demographic variables. We examined the possible relation between knee-pain scores and several psychosocial, sociodemographic, disease, and treatment variables in 355 patients with knee OA. Methods The pain-evaluation instrument was a 0- to 10-point rating scale. Data obtained retrospectively from the patients’ medical records were demographic characteristics, body mass index (BMI), concomitant disorders, illicit and prescription drug use, alcohol use, smoking, knee OA treatment, and severity of knee OA indicated by Kellgren-Lawrence (KL) radiographic grade. Univariate and multivariate analyses were performed to determine whether these variables correlated with reported pain scores. Results On univariate analysis, higher pain scores were significantly associated with Native American or Hispanic ethnicity; a higher BMI; current prescription for an opioid, antidepressant, or gabapentinoid medication; depression; diabetes mellitus; fibromyalgia; illicit drug use; lack of health insurance; smoking; previous knee injection; and recommendation by the clinician that the patient undergo knee surgery. Neither the patient’s sex nor the KL grade showed a correlation. On multivariate analysis, depression, current opioid prescription, and Native American or Hispanic ethnicity retained a significant association with higher pain scores. Conclusions and implications Our results in a large, ethnically diverse group of patients with knee OA suggest that psychosocial and sociodemographic factors may be important determinants of pain levels reported by patients with knee OA. PMID:29630676

Maternal Factors Predicting Cognitive and Behavioral Characteristics of Children with Fetal Alcohol Spectrum Disorders

PubMed Central

May, Philip A.; Tabachnick, Barbara G.; Gossage, J. Phillip; Kalberg, Wendy O.; Marais, Anna-Susan; Robinson, Luther K.; Manning, Melanie A.; Blankenship, Jason; Buckley, David; Hoyme, H. Eugene; Adnams, Colleen M.

2013-01-01

Objective To provide an analysis of multiple predictors of cognitive and behavioral traits for children with fetal alcohol spectrum disorders (FASD). Method Multivariate correlation techniques were employed with maternal and child data from epidemiologic studies in a community in South Africa. Data on 561 first grade children with fetal alcohol syndrome (FAS), partial FAS (PFAS), and not FASD and their mothers were analyzed by grouping 19 maternal variables into categories (physical, demographic, childbearing, and drinking) and employed in structural equation models (SEM) to assess correlates of child intelligence (verbal and non-verbal) and behavior. Results A first SEM utilizing only seven maternal alcohol use variables to predict cognitive/behavioral traits was statistically significant (B = 3.10, p < .05), but explained only 17.3% of the variance. The second model incorporated multiple maternal variables and was statistically significant explaining 55.3% of the variance. Significantly correlated with low intelligence and problem behavior were demographic (B = 3.83, p < .05) (low maternal education, low socioeconomic status (SES), and rural residence) and maternal physical characteristics (B = 2.70, p < .05) (short stature, small head circumference, and low weight). Childbearing history and alcohol use composites were not statistically significant in the final complex model, and were overpowered by SES and maternal physical traits. Conclusions While other analytic techniques have amply demonstrated the negative effects of maternal drinking on intelligence and behavior, this highly-controlled analysis of multiple maternal influences reveals that maternal demographics and physical traits make a significant enabling or disabling contribution to child functioning in FASD. PMID:23751886

Determinants of all cause mortality in Poland.

PubMed

Genowska, Agnieszka; Jamiołkowski, Jacek; Szpak, Andrzej; Pajak, Andrzej

2012-01-01

The study objective was to evaluate quantitatively the relationship between demographic characteristics, socio-economic status and medical care resources with all cause mortality in Poland. Ecological study was performed using data for the population of 66 subregions of Poland, obtained from the Central Statistical Office of Poland. The information on the determinants of health and all cause mortality covered the period from 1st January 2005 to 31st December 2010. Results for the repeated measures were analyzed using Generalized Estimating Equations GEE model. In the model 16 independent variables describing health determinants were used, including 6 demographic variables, 6 socio-economic variables, 4 medical care variables. The dependent variable, was age standardized all cause mortality rate. There was a large variation in all cause mortality, demographic features, socio-economic characteristics, and medical care resources by subregion. All cause mortality showed weak associations with demographic features, among which only the increased divorce rate was associated with higher mortality rate. Increased education level, salaries, gross domestic product (GDP) per capita, local government expenditures per capita and the number of non-governmental organizations per 10 thousand population was associated with decrease in all cause mortality. The increase of unemployment rate was related with a decrease of all cause mortality. Beneficial relationship between employment of medical staff and mortality was observed. Variation in mortality from all causes in Poland was explained partly by variation in socio-economic determinants and health care resources.

The Role of Demographics as Predictors of Successful Performance of Sales Professionals in Business-to-Business Sales Organizations

ERIC Educational Resources Information Center

Frino, Michael G.; Desiderio, Katie P.

2013-01-01

The purpose of this study was to examine the impact demographic variables of gender and sales experience have on the performance of business-to-business (B2B) sales professionals. If a deeper understanding can be established of how gender and sales experience variables relate to B2B sales performance, human resource development (HRD) and human…

Self Efficacy and Some Demographic Variables as Predictors of Occupational Stress among Primary School Teachers in Delta State of Nigeria

ERIC Educational Resources Information Center

Akpochafo, G. O.

2014-01-01

This study investigated self efficacy and some demographic variables as predictors of occupational stress among primary school teachers in Delta State. Three hypotheses were formulated to guide the study. The study adopted a descriptive survey design that utilized an expost-facto research type. A sample of one hundred and twenty primary school…

The Predictive Influence of Family and Community Demographic Variables on Grade 7 Student Achievement in Language Arts and Mathematics

ERIC Educational Resources Information Center

Wolfe, Adam

2016-01-01

This correlational, explanatory, longitudinal study sought to determine the combination of community and family-level demographic variables found in the 2010 U.S. Census data that most accurately predicted a New Jersey school district's percentage of students scoring proficient or above on the 2010, 2011, and 2012 NJ ASK 7 in Language Arts and…

Contribution of Demographic, Medical, and Social Support Variables in Predicting the Mental Health Dimension of Quality of Life among People with Multiple Sclerosis

ERIC Educational Resources Information Center

Schwartz, Chaya; Frohner, Rena

2005-01-01

The purpose of this study was to examine the contribution of demographic, medical, and social support variables in predicting the mental health dimension of quality of life (MHD/ QOL) among people with multiple sclerosis (MS). Eighty-two participants of employment age recruited from hospital neurology clinics specializing in MS completed a…

Predicting High Quality AFQT with Youth Attitude Tracking Study Data

DTIC Science & Technology

1991-12-01

for propensities. The history of the art of mental aptitude and psychological testing is long and convoluted. Names like Sir Francis Galton of England...Qualification Test . The explanatory variables reflect individual demographic, educational and labor market characteristics at the time of YATS interview. The...the fiftieth percentile on the Armed Forces Qualification Test . The explanatory variables reflect individual demographic, educational and labor market

The Effect of Trust in Leader on Job Satisfaction and Intent to Leave Present Job in the Context of the Nursing Profession

ERIC Educational Resources Information Center

Gibson, William David

2011-01-01

Three research questions made up the focus of the study. First, after controlling for demographic variables of age, gender, and tenure in organization, to what extent does trust in leader (nurse manager) relate to job satisfaction? Second, after controlling for demographic variables of age, gender, and tenure in organization, to what extent does…

Correlates of Injury-forced Work Reduction for Massage Therapists and Bodywork Practitioners.

PubMed

Blau, Gary; Monos, Christopher; Boyer, Ed; Davis, Kathleen; Flanagan, Richard; Lopez, Andrea; Tatum, Donna S

2013-01-01

Injury-forced work reduction (IFWR) has been acknowledged as an all-too-common occurrence for massage therapists and bodywork practitioners (M & Bs). However, little prior research has specifically investigated demographic, work attitude, and perceptual correlates of IFWR among M & Bs. To test two hypotheses, H1 and H2. H1 is that the accumulated cost variables set ( e.g., accumulated costs, continuing education costs) will account for a significant amount of IFWR variance beyond control/demographic (e.g., social desirability response bias, gender, years in practice, highest education level) and work attitude/perception variables (e.g., job satisfaction, affective occupation commitment, occupation identification, limited occupation alternatives) sets. H2 is that the two exhaustion variables (i.e., physical exhaustion, work exhaustion) set will account for significant IFWR variance beyond control/demographic, work attitude/perception, and accumulated cost variables sets. An online survey sample of 2,079 complete-data M & Bs was collected. Stepwise regression analysis was used to test the study hypotheses. The research design first controlled for control/demographic (Step1) and work attitude/perception variables sets (Step 2), before then testing for the successive incremental impact of two variable sets, accumulated costs (Step 3) and exhaustion variables (Step 4) for explaining IFWR. RESULTS SUPPORTED BOTH STUDY HYPOTHESES: accumulated cost variables set (H1) and exhaustion variables set (H2) each significantly explained IFWR after the control/demographic and work attitude/perception variables sets. The most important correlate for explaining IFWR was higher physical exhaustion, but work exhaustion was also significant. It is not just physical "wear and tear", but also "mental fatigue", that can lead to IFWR for M & Bs. Being female, having more years in practice, and having higher continuing education costs were also significant correlates of IFWR. Lower overall levels of work exhaustion, physical exhaustion, and IFWR were found in the present sample. However, since both types of exhaustion significantly and positively impact IFWR, taking sufficient time between massages and, if possible, varying one's massage technique to replenish one's physical and mental energy seem important. Failure to take required continuing education units, due to high costs, also increases risk for IFWR. Study limitations and future research issues are discussed.

Quantitative analyses of variability in normal vaginal shape and dimension on MR images

PubMed Central

Luo, Jiajia; Betschart, Cornelia; Ashton-Miller, James A.; DeLancey, John O. L.

2016-01-01

Introduction and hypothesis We present a technique for quantifying inter-individual variability in normal vaginal shape, axis, and dimension, and report findings in healthy women. Methods Eighty women (age: 28~70 years) with normal pelvic organ support underwent supine, multi-planar proton-density MRI. Vaginal width was assessed at five evenly-spaced locations, and vaginal axis, length, and surface area were quantified via ImageJ and MATLAB. Results The mid-sagittal plane angles, relative to the horizontal, of three vaginal axes were 90± 11, 72± 21, and 41± 22° (caudal to cranial, p < 0.001). The mean (± SD) vaginal widths were 17± 5, 24± 4, 30± 7, 41± 9, and 45± 12 mm at the five locations (caudal to cranial, p < 0.001). Mid-sagittal lengths for anterior and posterior vaginal walls were 63± 9 and 98 ± 18 mm respectively. The vaginal surface area was 72 ± 21 cm2 (range: 34 ~ 164 cm2). The coefficient of determination between any demographic variable and any vaginal dimension did not exceed 0.16. Conclusions Large variations in normal vaginal shape, axis, and dimensions were not explained by body size or other demographic variables. This variation has implications for reconstructive surgery, intravaginal and surgical product design, and vaginal drug delivery. PMID:26811115

Living with a partner and health care use – results from the MONICA survey Augsburg in Southern Germany

PubMed Central

Huber, Carola A.; Baumeister, Sebastian E.; Ladwig, Karl-Heinz; Mielck, Andreas

2007-01-01

Objective: Several studies have shown that social relationships are associated with health care use. This study aims to test if and to which extent a proximal element of social relationships, particularly living together with a partner, influences the health care utilisation in the same way as a distal element such as group membership. Methods: On the basis of a representative random sample of a southern German population (4856 participants), the associations were assessed between the following groups of variables: number of consultations with the general practitioner or internists, type of social relationships (living with a partner, friends, relatives, group memberships), need (evaluated and perceived health status), socio-demographic variables. Results: All analyses showed associations between living with a partner and health care utilisation. Individuals living with a partner had lower levels of utilisation than individuals not living with a partner (mean: 4.3 vs. 5.2). These associations persisted after controlling for socio-demographic and need variables. For the other indicators of social relationships, though, there were no significant associations with outpatient visits. Conclusions: Distinguishing between different types of social relationships is important for disentangling the overall effects of social relationships on health care utilisation. Also, the empirical findings confirm that health care research should not be restricted to medical variables, but should also include psycho-social factors. PMID:19742289

Demographic and health situation of children in conditions of economic destabilization in the Ukraine.

PubMed

Pantyley, Viktoriya

2014-01-01

In new conditions of socio-economic development in the Ukraine, the health of the population of children is considered as the most reliable indicator of socio-economic development of the country. The primary goal of the study was analysis of the effect of contemporary socio-economic transformations, their scope, and strength of effect on the demographic and social situation of children in various regions of the Ukraine. The methodological objectives of the study were as follows: development of a synthetic measure of the state of health of the population of children, based on the Hellwig's method, and selection of districts in the Ukraine according to the present health-demographic situation of children. The study was based on statistical data from the State Statistics Service of Ukraine, Centre of Medical Statistics in Kiev, Ukrainian Ministry of Defence, as well as Ministry of Education and Science, Youth and Sports of Ukraine. The following research methods were used: analysis of literature and Internet sources, selection and analysis of statistical materials, cartographic and statistical methods. Basic indices of the demographic and health situation of the population of children were analyzed, as well as factors of a socio-economic nature which affect this situation. A set of variables was developed for the synthetic evaluation of the state of health of the population of children. The typology of the Ukrainian districts was performed according to the state of health of the child population, based on the Hellwig's taxonomic method. Deterioration was observed of selected quality parameters, as well as a change in the strength and directions of effect of factors of organizational-institutional, socioeconomic, historical and cultural nature on the population of children potential.

Examination of socio-demographics and job satisfaction in Australian registered nurses.

PubMed

Reid, Carol; Hurst, Cameron; Anderson, Debra

2013-01-01

The results of the few studies found investigating relationships between sociodemographic variables and job satisfaction in nurses are mixed. Nevertheless some evidence exists which indicates that some socio-demographic variables are related to nurses' job satisfaction. Moreover reports indicate that job satisfaction is Linked to the retention of nurses. Relationships between socio-demographics and job satisfaction of Australian nurses are examined in the current study. To examine relationships between socio-demographic factors and job satisfaction and identify if these factors predicted job satisfaction Levels in Australian nurses. A cross sectional survey was conducted of 2000 Australian registered nurses who were at the time members of an industrial and professional organisation. The nurses were randomised and stratified according to gender and were asked to answer questions on a socio-demographic questionnaire developed by the researcher. The majority of respondents showed positive job satisfaction scores. Pearson's correlation coefficients (r) found the covariates age, years of experience and years in current job were all moderately to highly positively correlated with each other (all r > 0.40, p < 0.001), however there were no significant interactions between these covariates and Job Satisfaction. Multivariable analysis found significant positive relationships existed between job satisfaction, specialty area and health sector. Specialty area and health sector showed significant associations with job satisfaction in nurses. These variables should be considered by governments, nursing, organisational leaders and policy makers when developing future policies and strategies aimed at retention. These variables should be investigated further in relation to nursing job satisfaction.

Treatment processes and demographic variables as predictors of dropout from trauma-focused cognitive behavioral therapy (TF-CBT) for youth.

PubMed

Yasinski, Carly; Hayes, Adele M; Alpert, Elizabeth; McCauley, Thomas; Ready, C Beth; Webb, Charles; Deblinger, Esther

2018-05-22

Premature dropout is a significant concern in trauma-focused psychotherapy for youth. Previous studies have primarily examined pre-treatment demographic and symptom-related predictors of dropout, but few consistent findings have been reported. The current study examined demographic, symptom, and in-session process variables as predictors of dropout from Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) for youth. Participants were a diverse sample of Medicaid-eligible youth (ages 7-17; n = 108) and their nonoffending caregivers (n = 86), who received TF-CBT through an effectiveness study in a community setting. In-session process variables were coded from audio-recorded sessions, and these and pre-treatment demographic variables and symptom levels were examined as predictors of dropout prior to receiving an adequate dose of TF-CBT (<7 sessions). Twenty-nine children were classified as dropouts and 79 as completers. Binary logistic regression analyses revealed that higher levels of child and caregiver avoidance expressed during early sessions, as well as greater relationship difficulties between the child and therapist, predicted dropout. Those children who were in foster care during treatment were less likely to drop out than children living with parents or relatives. No other demographic or symptom-related factors predicted dropout. These findings highlight the importance of addressing avoidance and therapeutic relationship difficulties in early sessions of TF-CBT to help reduce dropout, and they have implications for improving efforts to disseminate evidence-based trauma-focused treatments. Copyright © 2018 Elsevier Ltd. All rights reserved.

Correlation of Gerkin, Queen's College, George, and Jackson methods in estimating maximal oxygen consumption.

PubMed

Heydari, Payam; Varmazyar, Sakineh; Variani, Ali Safari; Hashemi, Fariba; Ataei, Seyed Sajad

2017-10-01

Test of maximal oxygen consumption is the gold standard for measuring cardio-pulmonary fitness. This study aimed to determine correlation of Gerkin, Queen's College, George, and Jackson methods in estimating maximal oxygen consumption, and demographic factors affecting maximal oxygen consumption. This descriptive cross-sectional study was conducted in a census of medical emergency students (n=57) in Qazvin University of Medical Sciences in 2016. The subjects firstly completed the General Health Questionnaire (PAR-Q) and demographic characteristics. Then eligible subjects were assessed using exercise tests of Gerkin treadmill, Queen's College steps and non-exercise George, and Jackson. Data analysis was carried out using independent t-test, one way analysis of variance and Pearson correlation in the SPSS software. The mean age of participants was 21.69±4.99 years. The mean of maximal oxygen consumption using Gerkin, Queen's College, George, and Jackson tests was 4.17, 3.36, 3.64, 3.63 liters per minute, respectively. Pearson statistical test showed a significant correlation among fours tests. George and Jackson tests had the greatest correlation (r=0.85, p>0.001). Results of tests of one-way analysis of variance and t-test showed a significant relationship between independent variable of weight and height in four tests, and dependent variable of maximal oxygen consumption. Also, there was a significant relationship between variable of body mass index in two tests of Gerkin and Queen's College and variable of exercise hours per week with the George and Jackson tests (p>0.001). Given the obtained correlation, these tests have the potential to replace each other as necessary, so that the non-exercise Jackson test can be used instead of the Gerkin test.

A model clarifying the role of mediators in the variability of mood states over time in people who stutter.

PubMed

Craig, Ashley; Blumgart, Elaine; Tran, Yvonne

2015-06-01

Elevated negative mood states such as social anxiety and depressive mood have been found in adults who stutter. Research is needed to assist in the development of a model that clarifies how factors like self-efficacy and social support contribute to the variability of negative mood states over time. Participants included 200 adults who stutter. A longitudinal design was employed to assess change in mood states over a period of five months. Hierarchical directed regression (path analysis) was used to determine contributory relationships between change in mood states and self-efficacy, social support, socio-demographic and stuttering disorder variables. Participants completed a comprehensive assessment regimen, including validated measures of mood states, perceived control (self-efficacy) and social support. Results confirmed that self-efficacy performs a protective role in the change in mood states like anxiety and depressive mood. That is, self-efficacy cushioned the impact of negative mood states. Social support was only found to contribute a limited protective influence. Socio-demographic variables had little direct impact on mood states, while perceived severity of stuttering also failed to contribute directly to mood at any time point. Mood was found to be influenced by factors that are arguably important for a person to cope and adjust adaptively to the adversity associated with fluency disorder. A model that explains how mood states are influenced over time is described. Implications of these results for managing adults who stutter with elevated negative mood states like social anxiety are discussed. The reader will be able to describe: (a) the method involved in hierarchical (directed) regression used in path analysis; (b) the variability of mood states over a period of five months; (c) the nature of the mediator relationship between factors like self-efficacy and social support and mood states like anxiety, and (d) the contribution to mood states of socio-demographic factors like age and education and stuttering disorder variables like stuttering frequency and perceived severity. Copyright © 2015 Elsevier Inc. All rights reserved.

Efficient computation of the joint sample frequency spectra for multiple populations.

PubMed

Kamm, John A; Terhorst, Jonathan; Song, Yun S

2017-01-01

A wide range of studies in population genetics have employed the sample frequency spectrum (SFS), a summary statistic which describes the distribution of mutant alleles at a polymorphic site in a sample of DNA sequences and provides a highly efficient dimensional reduction of large-scale population genomic variation data. Recently, there has been much interest in analyzing the joint SFS data from multiple populations to infer parameters of complex demographic histories, including variable population sizes, population split times, migration rates, admixture proportions, and so on. SFS-based inference methods require accurate computation of the expected SFS under a given demographic model. Although much methodological progress has been made, existing methods suffer from numerical instability and high computational complexity when multiple populations are involved and the sample size is large. In this paper, we present new analytic formulas and algorithms that enable accurate, efficient computation of the expected joint SFS for thousands of individuals sampled from hundreds of populations related by a complex demographic model with arbitrary population size histories (including piecewise-exponential growth). Our results are implemented in a new software package called momi (MOran Models for Inference). Through an empirical study we demonstrate our improvements to numerical stability and computational complexity.

Efficient computation of the joint sample frequency spectra for multiple populations

PubMed Central

Kamm, John A.; Terhorst, Jonathan; Song, Yun S.

2016-01-01

A wide range of studies in population genetics have employed the sample frequency spectrum (SFS), a summary statistic which describes the distribution of mutant alleles at a polymorphic site in a sample of DNA sequences and provides a highly efficient dimensional reduction of large-scale population genomic variation data. Recently, there has been much interest in analyzing the joint SFS data from multiple populations to infer parameters of complex demographic histories, including variable population sizes, population split times, migration rates, admixture proportions, and so on. SFS-based inference methods require accurate computation of the expected SFS under a given demographic model. Although much methodological progress has been made, existing methods suffer from numerical instability and high computational complexity when multiple populations are involved and the sample size is large. In this paper, we present new analytic formulas and algorithms that enable accurate, efficient computation of the expected joint SFS for thousands of individuals sampled from hundreds of populations related by a complex demographic model with arbitrary population size histories (including piecewise-exponential growth). Our results are implemented in a new software package called momi (MOran Models for Inference). Through an empirical study we demonstrate our improvements to numerical stability and computational complexity. PMID:28239248

Spatio-temporal dynamics of ocean conditions and forage taxa reveal regional structuring of seabird–prey relationships.

PubMed

Santora, Jarrod A; Schroeder, Isaac D; Field, John C; Wells, Brian K; Sydeman, William J

Studies of predator–prey demographic responses and the physical drivers of such relationships are rare, yet essential for predicting future changes in the structure and dynamics of marine ecosystems. Here, we hypothesize that predator–prey relationships vary spatially in association with underlying physical ocean conditions, leading to observable changes in demographic rates, such as reproduction. To test this hypothesis, we quantified spatio-temporal variability in hydrographic conditions, krill, and forage fish to model predator (seabird) demographic responses over 18 years (1990–2007). We used principal component analysis and spatial correlation maps to assess coherence among ocean conditions, krill, and forage fish, and generalized additive models to quantify interannual variability in seabird breeding success relative to prey abundance. The first principal component of four hydrographic measurements yielded an index that partitioned “warm/weak upwelling” and “cool/strong upwelling” years. Partitioning of krill and forage fish time series among shelf and oceanic regions yielded spatially explicit indicators of prey availability. Krill abundance within the oceanic region was remarkably consistent between years, whereas krill over the shelf showed marked interannual fluctuations in relation to ocean conditions. Anchovy abundance varied on the shelf, and was greater in years of strong stratification, weak upwelling and warmer temperatures. Spatio-temporal variability of juvenile forage fish co-varied strongly with each other and with krill, but was weakly correlated with hydrographic conditions. Demographic responses between seabirds and prey availability revealed spatially variable associations indicative of the dynamic nature of “predator–habitat” relationships. Quantification of spatially explicit demographic responses, and their variability through time, demonstrate the possibility of delineating specific critical areas where the implementation of protective measures could maintain functions and productivity of central place foraging predators.

Integral projection models for finite populations in a stochastic environment.

PubMed

Vindenes, Yngvild; Engen, Steinar; Saether, Bernt-Erik

2011-05-01

Continuous types of population structure occur when continuous variables such as body size or habitat quality affect the vital parameters of individuals. These structures can give rise to complex population dynamics and interact with environmental conditions. Here we present a model for continuously structured populations with finite size, including both demographic and environmental stochasticity in the dynamics. Using recent methods developed for discrete age-structured models we derive the demographic and environmental variance of the population growth as functions of a continuous state variable. These two parameters, together with the expected population growth rate, are used to define a one-dimensional diffusion approximation of the population dynamics. Thus, a substantial reduction in complexity is achieved as the dynamics of the complex structured model can be described by only three population parameters. We provide methods for numerical calculation of the model parameters and demonstrate the accuracy of the diffusion approximation by computer simulation of specific examples. The general modeling framework makes it possible to analyze and predict future dynamics and extinction risk of populations with various types of structure, and to explore consequences of changes in demography caused by, e.g., climate change or different management decisions. Our results are especially relevant for small populations that are often of conservation concern.

BRAC and Crime: Examining the Effects of an Installation’s Closure on Local Crime

DTIC Science & Technology

2017-12-01

BRAC. Third, demographic and economic variables also have significant effects on particular types of property and violent crime. 14. SUBJECT...crimes due to a BRAC. Third, demographic and economic variables also have significant effects on particular types of property and violent crime. vi...Bureau of Economic Research NCVS National Crime Victimization Survey NSA National Sherriff’s Association OEA Office of Economic Adjustment OLS

A population-based study of demographical variables and ability to perform activities of daily living in adults with osteogenesis imperfecta.

PubMed

Wekre, Lena Lande; Frøslie, Kathrine Frey; Haugen, Lena; Falch, Jan A

2010-01-01

To describe demographical variables, and to study functional ability to perform activities of daily life in adults with osteogenesis imperfecta (OI). Population-based study. Ninety-seven patients aged 25 years and older, 41 men and 56 women, were included. For the demographical variables, comparison was made to a matched control-group (475 persons) from the Norwegian general population. Structured interviews concerning social conditions, employment and educational issues and clinical examination were performed. The Sunnaas Activities of Daily Living (ADL) Index was used to assess the ability to perform ADL. The prevalence of clinical manifestations according to Sillence was in accordance with other studies. Demographical variables showed that most adults with OI are married and have children. They had a higher educational level than the control group, but the employment rate was significantly lower. However, the rate of employed men was similar in both groups. Adult persons with OI achieved a high score when tested for ADL. Adults with OI are well educated compared with the general population, and most of them are employed. High scores when tested for ADL indicate that most of them are able to live their lives independently, even though there are some differences according to the severity of the disorder.

Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis

PubMed Central

Long, Xi; Haakma, Reinder; Leufkens, Tim R. M.; Fonseca, Pedro; Aarts, Ronald M.

2015-01-01

Autonomic cardiorespiratory activity changes across sleep stages. However, it is unknown to what extent it is affected by between- and within-subject variability during sleep. As it is hypothesized that the variability is caused by differences in subject demographics (age, gender, and body mass index), time, and physiology, we quantified these effects and investigated how they limit reliable cardiorespiratory-based sleep staging. Six representative parameters obtained from 165 overnight heartbeat and respiration recordings were analyzed. Multilevel models were used to evaluate the effects evoked by differences in sleep stages, demographics, time, and physiology between and within subjects. Results show that the between- and within-subject effects were found to be significant for each parameter. When adjusted by sleep stages, the effects in physiology between and within subjects explained more than 80% of total variance but the time and demographic effects explained less. If these effects are corrected, profound improvements in sleep staging can be observed. These results indicate that the differences in subject demographics, time, and physiology present significant effects on cardiorespiratory activity during sleep. The primary effects come from the physiological variability between and within subjects, markedly limiting the sleep staging performance. Efforts to diminish these effects will be the main challenge. PMID:26366167

Demographic and social factors associated with homophobia and fear of AIDS in a community sample.

PubMed

Walch, Susan E; Orlosky, Paula M; Sinkkanen, Kimberly A; Stevens, Heather R

2010-01-01

Examinations of demographic and social factors associated with homophobia and fear of AIDS are limited by the frequent use of homogeneous, college student samples and limited examination of interrelationships among variables. The present study examined community attitudes toward homosexuality and fear of HIV/AIDS as a function of age, education, race/ethnicity, religious affiliation, political party affiliation, and personal contact with homosexual individuals and persons living with HIV/AIDS. A community sample of 463 adults completed standardized measures of homophobia and fear of AIDS as well as demographic and social background items. When examined separately, each demographic and social factor assessed, with the exception of race/ethnicity, was associated with homophobia and all but race/ethnicity and political party affiliation were associated with fear of AIDS. However, when entered into multiple regression analyses, 24% of the variance in homophobia was predicted by a single variable, including only personal contact with homosexual individuals, while 18% of the variance in fear of AIDS was accounted for by five variables, including personal contact with homosexual individuals, religious affiliation, political affiliation, education, and personal contact with someone living with HIV/AIDS. Findings suggest that it is important to consider intercorrelations among social and demographic factors, particularly when considering homophobia.

Demographic consequences of climate change and land cover help explain a history of extirpations and range contraction in a declining snake species.

PubMed

Pomara, Lars Y; LeDee, Olivia E; Martin, Karl J; Zuckerberg, Benjamin

2014-07-01

Developing conservation strategies for threatened species increasingly requires understanding vulnerabilities to climate change, in terms of both demographic sensitivities to climatic and other environmental factors, and exposure to variability in those factors over time and space. We conducted a range-wide, spatially explicit climate change vulnerability assessment for Eastern Massasauga (Sistrurus catenatus), a declining endemic species in a region showing strong environmental change. Using active season and winter adult survival estimates derived from 17 data sets throughout the species' range, we identified demographic sensitivities to winter drought, maximum precipitation during the summer, and the proportion of the surrounding landscape dominated by agricultural and urban land cover. Each of these factors was negatively associated with active season adult survival rates in binomial generalized linear models. We then used these relationships to back-cast adult survival with dynamic climate variables from 1950 to 2008 using spatially explicit demographic models. Demographic models for 189 population locations predicted known extant and extirpated populations well (AUC = 0.75), and models based on climate and land cover variables were superior to models incorporating either of those effects independently. These results suggest that increasing frequencies and severities of extreme events, including drought and flooding, have been important drivers of the long-term spatiotemporal variation in a demographic rate. We provide evidence that this variation reflects nonadaptive sensitivity to climatic stressors, which are contributing to long-term demographic decline and range contraction for a species of high-conservation concern. Range-wide demographic modeling facilitated an understanding of spatial shifts in climatic suitability and exposure, allowing the identification of important climate refugia for a dispersal-limited species. Climate change vulnerability assessment provides a framework for linking demographic and distributional dynamics to environmental change, and can thereby provide unique information for conservation planning and management. © 2013 John Wiley & Sons Ltd.

Exploring perceptions of the educational environment among undergraduate physiotherapy students

PubMed Central

Lindquist, Ingrid; Sundberg, Tobias; Nilsson, Gunnar H.; Laksov, Klara B.

2014-01-01

Objectives The aim of this study was to explore areas of strength and weakness in the educational environment as perceived by undergraduate physiotherapy students and to investigate these areas in relation to the respondents’ demographic characteristics. Methods This study utilized a cross-sectional study design and employed the Dundee Ready Education Environment Measure, a 50-item, self-administered inventory relating to a variety of topics directly pertinent to educational environments. Convenience sampling was used, and the scores were compared across demographic variables. All undergraduate physiotherapy students in their first five terms of the programme in a major Swedish university were invited to participate in the study. Results A total of 222 students (80%) completed the inventory. With an overall score of 150/200 (75%), the students rated the educational environment in this institution as “more positive than negative”. Two items consistently received deprived scores - authoritarian teachers and teaching with an overemphasis on factual learning. Students in term 4 differed significantly from others, and students with earlier university education experience perceived the atmosphere more negatively than their counterparts. There were no significant differences with regards to other demographic variables. Conclusions This study provides valuable insight into how undergraduate physiotherapy students perceive their educational environment. In general, students perceived that their educational programme fostered a sound educational environment. However, some areas require remedial measures in order to enhance the educational experience. PMID:25341223

Measuring the effect of improvement in methodological techniques on data collection in the Gharbiah population-based cancer registry in Egypt: Implications for other Low- and Middle-Income Countries.

PubMed

Smith, Brittney L; Ramadan, Mohamed; Corley, Brittany; Hablas, Ahmed; Seifeldein, Ibrahim A; Soliman, Amr S

2015-12-01

The purpose of this study was to describe and quantify procedures and methods that maximized the efficiency of the Gharbiah Cancer Registry (GPCR), the only population-based cancer registry in Egypt. The procedures and measures included a locally-developed software program to translate names from Arabic to English, a new national ID number for demographic and occupational information, and linkage of cancer cases to new electronic mortality records of the Ministry of Health. Data was compiled from the 34,058 cases from the registry for the years 1999-2007. Cases and registry variables about demographic and clinical information were reviewed by year to assess trends associated with each new method or procedure during the study period. The introduction of the name translation software in conjunction with other demographic variables increased the identification of detected duplicates from 23.4% to 78.1%. Use of the national ID increased the proportion of cases with occupation information from 27% to 89%. Records with complete mortality information increased from 18% to 43%. Proportion of cases that came from death certificate only, decreased from 9.8% to 4.7%. Overall, the study revealed that introducing and utilizing local and culture-specific methodological changes, software, and electronic non-cancer databases had a significant impact on data quality and completeness. This study may have translational implications for improving the quality of cancer registries in LMICs considering the emerging advances in electronic databases and utilization of health software and computerization of data. Copyright © 2015 Elsevier Ltd. All rights reserved.

[The demographic and occupational characteristics of Italian migrants to Argentina, 1880-1930].

PubMed

Cacopardo, M C; Moreno, J L

1984-09-01

"This essay studies...the demographic and socio-professional characteristics of the Italian emigrants in Argentina during the period 1880-1930. Besides a reconstruction of the demographic variables (age, sex, mortality, and fertility) in the historical series, the essay also depicts the professional profile of the Italians in Argentina...." (summary in ENG, FRE) excerpt

Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups.

PubMed

van Mierlo, Trevor; Li, Xinlong; Hyatt, Douglas; Ching, Andrew T

2017-02-17

Digital health social networks (DHSNs) are widespread, and the consensus is that they contribute to wellness by offering social support and knowledge sharing. The success of a DHSN is based on the number of participants and their consistent creation of externalities through the generation of new content. To promote network growth, it would be helpful to identify characteristics of superusers or actors who create value by generating positive network externalities. The aim of the study was to investigate the feasibility of developing predictive models that identify potential superusers in real time. This study examined associations between posting behavior, 4 demographic variables, and 20 indication-specific variables. Data were extracted from the custom structured query language (SQL) databases of 4 digital health behavior change interventions with DHSNs. Of these, 2 were designed to assist in the treatment of addictions (problem drinking and smoking cessation), and 2 for mental health (depressive disorder, panic disorder). To analyze posting behavior, 10 models were developed, and negative binomial regressions were conducted to examine associations between number of posts, and demographic and indication-specific variables. The DHSNs varied in number of days active (3658-5210), number of registrants (5049-52,396), number of actors (1085-8452), and number of posts (16,231-521,997). In the sample, all 10 models had low R 2 values (.013-.086) with limited statistically significant demographic and indication-specific variables. Very few variables were associated with social network engagement. Although some variables were statistically significant, they did not appear to be practically significant. Based on the large number of study participants, variation in DHSN theme, and extensive time-period, we did not find strong evidence that demographic characteristics or indication severity sufficiently explain the variability in number of posts per actor. Researchers should investigate alternative models that identify superusers or other individuals who create social network externalities. ©Trevor van Mierlo, Xinlong Li, Douglas Hyatt, Andrew T Ching. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 17.02.2017.

Most Likely to Succeed: Exploring Predictor Variables for the Counselor Preparation Comprehensive Examination

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…

Back pain prevalence and associated factors in children and adolescents: an epidemiological population study

PubMed Central

Noll, Matias; Candotti, Cláudia Tarragô; da Rosa, Bruna Nichele; Loss, Jefferson Fagundes

2016-01-01

ABSTRACT OBJECTIVE To identify the prevalence of back pain among Brazilian school children and the factors associated with this pain. METHODS All 1,720 schoolchildren from the fifth to the eight grade attending schools from the city of Teutonia, RS, Southern Brazil, were invited to participate in the study. From these, 1,597 children participated. We applied the Back Pain and Body Posture Evaluation Instrument. The dependent variable was back pain, while the independent one were demographic, socioeconomic, behavior and heredity data. The prevalence ratio was estimated by multivariate analysis using the Poisson regression model (α = 0.05). RESULTS The prevalence of back pain in the last three months was 55.7% (n = 802). The multivariate analysis showed that back pain is associated with the variables: sex, parents with back pain, weekly frequency of physical activity, daily time spent watching television, studying in bed, sitting posture to write and use the computer, and way of carrying the backpack. CONCLUSIONS The prevalence of back pain in schoolchildren is high and it is associated with demographic, behavior and heredity aspects. PMID:27305406

Consumer Attitudes Toward Animal Welfare-Friendly Products and Willingness to Pay: Exploration of Mexican Market Segments.

PubMed

Miranda-de la Lama, Genaro C; Estévez-Moreno, Laura X; Villarroel, Morris; Rayas-Amor, Adolfo A; María, Gustavo A; Sepúlveda, Wilmer S

2018-04-03

The study aim was to identify consumer segmentation based on nonhuman animal welfare (AW) attitudes and their relationship with demographic features and willingness to pay (WTP) for welfare-friendly products (WFP) in Mexico. Personal interviews were conducted with 843 Mexican consumers who stated they purchased most of the animal products in their home. Respondents were selected using a quota sampling method with age, gender, education, and origin as quota control variables. The multivariate analysis suggested there were three clusters or consumer profiles labeled "skeptical," "concerned," and "ethical," which helped explain the association between AW attitudes, some demographic variables, and WTP for WFP. This study is one of the first to address consumer profiling in Latin America, and the findings could have implications for the commercialization of WFP. Hence, customers should receive information to consider welfare innovations when deciding to purchase animal products. The growth of the WFP food market establishes an element of a far more multifaceted phenomenon of sustainable consumption and support of a new paradigm called responsible marketing in emerging markets such as Mexico.

Women's Retirement Expectations: How Stable Are They?

PubMed Central

Hardy, Melissa A.

2009-01-01

Objective Using the National Longitudinal Survey of Mature Women, we examine between- and within-person differences in expected retirement age as a key element of the retirement planning process. The expectation typologies of 1,626 women born between 1923 and 1937 were classified jointly on the basis of specificity and consistency. Methods Latent class analysis was used to determine retirement expectation patterns over a 7-year span. Multinomial logistic regression analyses were employed to estimate the effects of demographic and status characteristics on the likelihood of reporting 4 distinct longitudinal patterns of retirement expectations. Results Substantial heterogeneity in reports of expected retirement age between and within individuals over the 7-year span was found. Demographic and status characteristics, specifically age, race, marital status, job tenure, and recent job change, sorted respondents into different retirement expectation patterns. Conclusions The frequent within-person fluctuations and substantial between-person heterogeneity in retirement expectations indicate uncertainty and variability in both expectations and process of expectation formation. Variability in respondents' reports suggests that studying retirement expectations at multiple time points better captures the dynamics of preretirement planning. PMID:19176483

Review of Factors, Methods, and Outcome Definition in Designing Opioid Abuse Predictive Models.

PubMed

Alzeer, Abdullah H; Jones, Josette; Bair, Matthew J

2018-05-01

Several opioid risk assessment tools are available to prescribers to evaluate opioid analgesic abuse among chronic patients. The objectives of this study are to 1) identify variables available in the literature to predict opioid abuse; 2) explore and compare methods (population, database, and analysis) used to develop statistical models that predict opioid abuse; and 3) understand how outcomes were defined in each statistical model predicting opioid abuse. The OVID database was searched for this study. The search was limited to articles written in English and published from January 1990 to April 2016. This search generated 1,409 articles. Only seven studies and nine models met our inclusion-exclusion criteria. We found nine models and identified 75 distinct variables. Three studies used administrative claims data, and four studies used electronic health record data. The majority, four out of seven articles (six out of nine models), were primarily dependent on the presence or absence of opioid abuse or dependence (ICD-9 diagnosis code) to define opioid abuse. However, two articles used a predefined list of opioid-related aberrant behaviors. We identified variables used to predict opioid abuse from electronic health records and administrative data. Medication variables are the recurrent variables in the articles reviewed (33 variables). Age and gender are the most consistent demographic variables in predicting opioid abuse. Overall, there is similarity in the sampling method and inclusion/exclusion criteria (age, number of prescriptions, follow-up period, and data analysis methods). Intuitive research to utilize unstructured data may increase opioid abuse models' accuracy.

Mindfulness, Quality of Life, and Severity of Depressive Symptoms Among Patients With Schizophrenia and Patients With Major Depressive Disorder.

PubMed

Rayan, Ahmad Hussien Rateb

2017-05-01

The current study used a descriptive correlational design to examine the relationship between mindfulness and quality of life (QOL) among patients with schizophrenia (n = 160) and patients with major depressive disorder (MDD) (n = 161), controlling for demographic and clinical variables. Participants completed self-reported questionnaires regarding demographic variables, severity of depression, QOL, and mindfulness. Patients diagnosed with MDD had higher mindfulness scores than patients diagnosed with schizophrenia. Mindfulness scores were significantly associated with the severity of depression among participants. After controlling for the demographic variables and severity of depressive symptoms, mindfulness had a unique variance in QOL among patients with schizophrenia, but not among patients with MDD. The current study provides preliminary evidence regarding the role of mindfulness in improving depressive symptoms and the overall QOL among patients diagnosed with mental illness. [Journal of Psychosocial Nursing and Mental Health Services, 55(5), 40-50.]. Copyright 2017, SLACK Incorporated.

Personal growth, symptoms, and uncertainty in community-residing adults with heart failure.

PubMed

Overbaugh, Kristen J; Parshall, Mark B

Personal growth has not been studied extensively in heart failure (HF). To characterize personal growth in HF and its relationships with symptom burden, uncertainty, and demographic and clinical factors. Associations among personal growth, uncertainty, symptom burden, and clinical and demographic variables were examined in adult outpatients with HF using bivariate correlations and multiple regressions. Participants (N = 103; 76% male, mean age = 74 years, 97% New York Heart Association classes II and III) reported moderate levels of personal growth, uncertainty, and symptom burden. Personal growth was weakly correlated with age and symptom burden but not with other study variables. In a regression model, age, sex, ethnicity, disease severity, time since diagnosis, symptom burden, and uncertainty were not significant independent correlates of personal growth. Community-residing patients with HF report moderate personal growth that is not explained by uncertainty, symptom burden, or demographic and clinical variables. Copyright © 2016 Elsevier Inc. All rights reserved.

Comparing Immunohistologic and Demographic Variables of Head and Neck Squamous Cell Carcinoma

DTIC Science & Technology

2015-06-01

HPV 16 and 18 which have a well-established association with cervical cancers . However, HPV 16 accounts for the majority ofHPV...These cancers are now subdivided into HPV associated ( HPV - SCC) and non- HPV associated squamous cell (SCC) carcinomas. HPV -SCG is a distinct entity... cell carcinomas. Laryngoscope 2009; 119(8): 1542-1549. 13. Venuti A, Paolini F. HPV detection methods in head and neck cancer . Head Neck

Is the Effectiveness of Tobacco Image-Based Warning Labels Likely to Vary by Socio-Demographic Variable? Findings from an Online Survey of 19,000 Members of the UK Public

ERIC Educational Resources Information Center

Styles, Maggie; Williams, Brian; Humphris, Gerry

2013-01-01

Objective: Smoking continues to be a major global cause of mortality and morbidity. Countries have increasingly adopted the use of images as warnings on cigarette packs. We aimed to investigate the likely differential impact of varied images and messages on sub-groups of the United Kingdom (UK) smoking population. Methods: Forty two images…

Providing care to relatives with mental illness: reactions and distress among primary informal caregivers.

PubMed

Chang, Sherilyn; Zhang, Yunjue; Jeyagurunathan, Anitha; Lau, Ying Wen; Sagayadevan, Vathsala; Chong, Siow Ann; Subramaniam, Mythily

2016-03-25

The responsibility of caring for relatives with mental illness often falls on the family members. It has been reported that the reactions to or consequences of providing care are what rendered the role of a caregiver challenging and hence a source of distress. This present study thus aimed to identify socio-demographic correlates of caregiving experiences using the Caregiver Reaction Assessment (CRA) and to examine the associations between reactions to caregiving and psychological distress. A total of 350 caregivers with relatives seeking outpatient care at a tertiary psychiatric hospital were recruited for this study. Distress among caregivers was assessed using the Patient Health Questionnaire (PHQ-9). The CRA was administered to measure reactions from caregiving in four domains including impact on schedule and health (ISH), impact on finance (IF), lack of family support (LFS) and caregiver esteem (CE). Participants also completed a questionnaire that asked for their socio-demographic information. Multivariable linear regression analysis was first used with domains of CRA as outcome variables and socio-demographic variables as predictors in the models. The next set of multivariable linear regression analysis tested for the association between CRA domains and distress with CRA domain scores as outcome variables and PHQ-9 score as predictor, controlling for socio-demographic variables. Socio-demographic correlates of CRA domains identified were age, education, employment, income and ethnicity. Domain scores of CRA were significantly associated with PHQ-9 score even after controlling for socio-demographic variables. A higher distress score was associated with greater impact felt in the domain of ISH (β = 0.080, P < 0.001), IF (β = 0.064, P < 0.001), and LFS (β = 0.057, P < 0.001), and was associated with lower CE domain scores (β = -0.021, P < 0.05). This study identified several socio-demographic correlates of caregiving reaction in the different domains. Each of these domains was found to be significantly associated with caregiver distress. Higher distress was associated with stronger impact on the negative domains and a lower impact in the positive domain of caregiving reaction. Interventions such as educational programs at the caregiver level, and also promoting wider social care support in these domains may help to address caregiver distress.

Oral and Gastric Helicobacter Pylori: Effects and Associations

PubMed Central

Veiga, Nélio; Pereira, Carlos; Resende, Carlos; Amaral, Odete; Ferreira, Manuela; Nelas, Paula; Chaves, Claudia; Duarte, João; Cirnes, Luis; Machado, José Carlos; Ferreira, Paula; Correia, Ilídio J.

2015-01-01

Introduction This study consisted in the comparison of the prevalence of Helicobacter pylori (H. pylori) present in the stomach and in saliva of a sample of Portuguese adolescents and the assessment of the association between H. pylori infection with socio-demographic variables and prevalence of dental caries. Materials and Methods A cross-sectional study was designed including a sample of 447 adolescents aged 12 to 19 years old, attending a public school in Sátão, Portugal. A questionnaire about socio-demographic variables and oral health behaviors was applied. Gastric H. pylori infection was determined using the urease breath test (UBT). Saliva collection was obtained and DNA was extracted by Polymerase Chain Reaction (PCR) in order to detect the presence of oral H. pylori. Results The prevalence of gastric H. pylori detected by UBT was 35.9%. Within the adolescents with a gastric UBT positive, only 1.9% were positive for oral H. pylori. The presence of gastric H. pylori was found to be associated with age (>15years, Odds ratio (OR)=1.64,95%CI=1.08-2.52), residence area (urban,OR=1.48,95%CI=1.03-2.29) and parents´ professional situation (unemployed,OR=1.22,95%CI=1.02-1.23). Among those with detected dental caries during the intra-oral observation, 37.4% were positive for gastric H. pylori and 40.2% negative for the same bacterial strain (p=0.3). Conclusions The oral cavity cannot be considered a reservoir for infection of H. pylori. Gastric H. pylori infection was found to be associated with socio-demographic variables such as age, residence area and socioeconomic status. PMID:26010595

Test–retest reliability, validity, and minimum detectable change of visual analog, numerical rating, and verbal rating scales for measurement of osteoarthritic knee pain

PubMed Central

Alghadir, Ahmad H; Anwer, Shahnawaz; Iqbal, Amir; Iqbal, Zaheen Ahmed

2018-01-01

Objective Several scales are commonly used for assessing pain intensity. Among them, the numerical rating scale (NRS), visual analog scale (VAS), and verbal rating scale (VRS) are often used in clinical practice. However, no study has performed psychometric analyses of their reliability and validity in the measurement of osteoarthritic (OA) pain. Therefore, the present study examined the test–retest reliability, validity, and minimum detectable change (MDC) of the VAS, NRS, and VRS for the measurement of OA knee pain. In addition, the correlations of VAS, NRS, and VRS with demographic variables were evaluated. Methods The study included 121 subjects (65 women, 56 men; aged 40–80 years) with OA of the knee. Test–retest reliability of the VAS, NRS, and VRS was assessed during two consecutive visits in a 24 h interval. The validity was tested using Pearson’s correlation coefficients between the baseline scores of VAS, NRS, and VRS and the demographic variables (age, body mass index [BMI], sex, and OA grade). The standard error of measurement (SEM) and the MDC were calculated to assess statistically meaningful changes. Results The intraclass correlation coefficients of the VAS, NRS, and VRS were 0.97, 0.95, and 0.93, respectively. VAS, NRS, and VRS were significantly related to demographic variables (age, BMI, sex, and OA grade). The SEM of VAS, NRS, and VRS was 0.03, 0.48, and 0.21, respectively. The MDC of VAS, NRS, and VRS was 0.08, 1.33, and 0.58, respectively. Conclusion All the three scales had excellent test–retest reliability. However, the VAS was the most reliable, with the smallest errors in the measurement of OA knee pain. PMID:29731662

Optimism as a predictor of health-related quality of life in psoriatics

PubMed Central

Miniszewska, Joanna; Chodkiewicz, Jan; Zalewska-Janowska, Anna

2013-01-01

Introduction Psoriasis is a chronic and relapsing disease which significantly affects the quality of life and social functioning of the affected people. It is one of the so-called psychodermatological diseases, which means that there exists a psychological component in the image of the disease. Aim To examine the relationship between health-related quality of life (HRQoL) in psoriatics and selected demographic, medical and psychological (dispositional optimism) variables and to determine the predictors of HRQoL in the examined group. Material and methods The study consisted of 138 patients with the diagnosis of psoriasis vulgaris. Most respondents (125) had psoriasis on exposed parts of the body. Methods used: SKINDEX, Life Orientation Test, PASI. Results The gender does not differentiate patients in terms of HRQoL and optimism. Almost all of analyzed variables correlate with HRQoL and all examined variables explain the results variability for overall HRQoL but only optimism explains the highest percentage of the variability (β = –0.35). Conclusions The study demonstrated a very interesting relationship – the stronger optimism the better quality of life in psoriatics. So, a generalized expectation of positive life events is related to better assessment of HRQoL. PMID:24278054

Early father–daughter relationship and demographic determinants of spousal marital satisfaction

PubMed Central

Alsheikh Ali, Ahmad; Daoud, Fawzi Shaker

2016-01-01

This study examined several dimensions of early father–daughter relationship as predictors of marital satisfaction among 494 respondents. Descriptive comparative approach was used in result analysis. The Father Presence Questionnaire and Marital Satisfaction Questionnaire were used, in addition to a number of demographic variables. Results showed that only physical relationship with the father, and perceptions of father’s influence, had a positive significant impact on wives’ marital satisfaction. Of all domains, only positive feelings about the father had a negative impact on the husband’s marital satisfaction. Most demographic variables had statistically significant effect on marital satisfaction. Sociocultural implications for marital satisfaction for wives and husbands are discussed. PMID:27114719

PREDICTORS OF COMPUTER USE IN COMMUNITY-DWELLING ETHNICALLY DIVERSE OLDER ADULTS

PubMed Central

Werner, Julie M.; Carlson, Mike; Jordan-Marsh, Maryalice; Clark, Florence

2011-01-01

Objective In this study we analyzed self-reported computer use, demographic variables, psychosocial variables, and health and well-being variables collected from 460 ethnically diverse, community-dwelling elders in order to investigate the relationship computer use has with demographics, well-being and other key psychosocial variables in older adults. Background Although younger elders with more education, those who employ active coping strategies, or those who are low in anxiety levels are thought to use computers at higher rates than others, previous research has produced mixed or inconclusive results regarding ethnic, gender, and psychological factors, or has concentrated on computer-specific psychological factors only (e.g., computer anxiety). Few such studies have employed large sample sizes or have focused on ethnically diverse populations of community-dwelling elders. Method With a large number of overlapping predictors, zero-order analysis alone is poorly equipped to identify variables that are independently associated with computer use. Accordingly, both zero-order and stepwise logistic regression analyses were conducted to determine the correlates of two types of computer use: email and general computer use. Results Results indicate that younger age, greater level of education, non-Hispanic ethnicity, behaviorally active coping style, general physical health, and role-related emotional health each independently predicted computer usage. Conclusion Study findings highlight differences in computer usage, especially in regard to Hispanic ethnicity and specific health and well-being factors. Application Potential applications of this research include future intervention studies, individualized computer-based activity programming, or customizable software and user interface design for older adults responsive to a variety of personal characteristics and capabilities. PMID:22046718

Identifying a clinical signature of suicidality among patients with mood disorders: a pilot study using a machine learning approach

PubMed Central

Passos, Ives Cavalcante; Mwangi, Benson; Cao, Bo; Hamilton, Jane E; Wu, Mon-Ju; Zhang, Xiang Yang; Zunta-Soares, Giovana B.; Quevedo, Joao; Kauer-Sant'Anna, Marcia; Kapczinski, Flávio; Soares, Jair C.

2016-01-01

Objective A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinical variables into a clinically useful tool in order to estimate the probability of an individual patient attempting suicide. Method A total of 144 patients with mood disorders were included. Clinical variables associated with suicide attempts among patients with mood disorders and demographic variables were used to ‘train’ a machine learning algorithm. The resulting algorithm was utilized in identifying novel or ‘unseen’ individual subjects as either suicide attempters or non-attempters. Three machine learning algorithms were implemented and evaluated. Results All algorithms distinguished individual suicide attempters from non-attempters with prediction accuracy ranging between 65%-72% (p<0.05). In particular, the relevance vector machine (RVM) algorithm correctly predicted 103 out of 144 subjects translating into 72% accuracy (72.1% sensitivity and 71.3% specificity) and an area under the curve of 0.77 (p<0.0001). The most relevant predictor variables in distinguishing attempters from non-attempters included previous hospitalizations for depression, a history of psychosis, cocaine dependence and post-traumatic stress disorder (PTSD) comorbidity. Conclusion Risk for suicide attempt among patients with mood disorders can be estimated at an individual subject level by incorporating both demographic and clinical variables. Future studies should examine the performance of this model in other populations and its subsequent utility in facilitating selection of interventions to prevent suicide. PMID:26773901

The Effect of Neighborhood Context on the Relationship Between Substance Misuse and Weapons Aggression in Urban Adolescents Seeking ED Care

PubMed Central

Goldstick, Jason Elliott; Lipton, Robert I.; Carter, Patrick; Stoddard, Sarah A.; Newton, Manya F.; Reischl, Thomas; Walton, Maureen; Zimmerman, Marc A.; Cunningham, Rebecca M.

2015-01-01

Background Frameworks for studying the ecology of human behavior suggest that multiple levels of the environment influence behavior and that these levels interact. Applied to studies of weapons aggression, this suggests proximal risk factor (e.g., substance use) effects may differ across neighborhoods. Objectives To estimate how the association between weapons aggression and substance use varies as a function of several community-level variables. Methods Individual-level measures (demographics, behavioral measures) were obtained from a survey of youth aged 14–24 years old seeking care at a Level-1 ED in Flint, Michigan. Community-level variables were obtained from public sources. Logistic generalized additive models were used to test whether community-level variables (crime rates, alcohol outlets, demographics) modify the link between individual-level substance use variables and the primary outcome measure: self-reported past 6-month weapon (firearm/knife) related aggression. Results The effect of marijuana misuse on weapons aggression varied significantly as a function of five community-level variables: racial composition, vacant housing rates, female headed household rates, density of package alcohol outlets, and nearby drug crime rates. The effect of high-risk alcohol use did not depend on any of the eight community variables tested. Conclusions The relationship between marijuana misuse and weapons aggression differed across neighborhoods with generally less association in more disadvantaged neighborhoods, while high-risk alcohol use showed a consistently high association with weapons aggression that did not vary across neighborhoods. The results aid in understanding the contributions of alcohol and marijuana use to the etiology of weapon-related aggression among urban youth, but further study in the general population is required. PMID:25607807

Do knowledge and cultural perceptions of modern female contraceptives predict male involvement in Ayete, Nigeria?

PubMed

Sanusi, A; Akinyemi, Oluwaseun O; Onoviran, Oghemetega O

2014-12-01

Male involvement is crucial to female contraceptive use. This study examined how male knowledge and cultural perceptions of modern female contraceptives influence involvement in contraceptive use. A cross-sectional survey of 389 men from Ayete, Nigeria was used to regress a continuous male involvement score on demographic variables, knowledge of at least one method of modern female contraception and a scored male perception variable using Ordinary Least Squares regression. Controlling for perception, the knowledge of at least one method of modern female contraception was not significantly associated with a change in male involvement (p=0.264). Increasing positive perception was associated with higher male involvement scores (p=0.001). Higher educated males, those with a current desire to have children and males whose partners were currently using a method had greater male involvement scores (p<0.05). Policy and intervention efforts should be focused on changing cultural perceptions, in addition to providing in-depth knowledge of contraceptive methods.

Demographic Responses To Climate Manipulations Across a Species Range

NASA Astrophysics Data System (ADS)

Oldfather, M. F.

2016-12-01

Species biogeographic responses to climate change will occur through the local extinction and establishment of populations. The overall performance of populations across a species range is shaped by the idiosyncratic sensitivities of demographic rates to the changing climate conditions. Heterogeneous topography partially decouples temperature and soil moisture presenting an opportunity to disentangle demographic sensitivity to multiple local climate variables and refine range shift predictions in response to complex climate change. Since 2013, I have monitored 16 populations of a long-lived alpine plant, Ivesia lycopodioides var. scandularis (Rosaceae) across the entirety of its altitudinal range in the arid White Mountains, CA (3350 - 4420m). I quantified microclimatic soil moisture and temperature, and the demographic rates of over 4,000 individuals. Demographic rates exhibited sensitivity to accumulated degree-days (ex. reproduction), soil volumetric water content (ex. germination), or the interaction between these climate variables (ex. survival). These observations motivated an experimental test of the relationship between demography and local climate with manipulations of increased summertime temperature and precipitation in nine populations. All demographic rates were sensitive to the climate manipulations and the magnitude of the demographic response depended on the population's location within the range. However, the modeled population growth rate was only minimally affected by the manipulations in most populations. The inverse responses of many of the demographic rates may allow populations to demographically buffer against the climate manipulations. However, in one low elevation edge population the negative effect of heating on survival overwhelmed the positive effect on germination, indicating that the capacity of populations to demographically buffer may have a limit.

Selected elements of socio-demographic status and lifestyle as factors determining subjective assessment of life in women after mastectomy

PubMed Central

Skrzypczak, Magdalena; Łaski, Piotr

2013-01-01

Aim of the study The main objective of the study is to specify whether socio-demographic factors and physical activity result in differences in subjective assessment of life in women diagnosed with breast cancer. Material and methods The study group consisted of 145 women who had been diagnosed with breast cancer. The women had undergone radical surgery, chemotherapy and radiotherapy. The participants filled in an anonymous questionnaire which contained a number of detailed questions relating to their socio-demographic standing, life style, condition and the current self-assessment of life after breast cancer. In order to assess the differences between groups made on the basis of socio-economic variables, the Kruskal-Wallis rank test was used. For a comprehensive assessment of relations, multiple correspondence analysis on the basis of Burt tables was used. Results Their mean age at the time of the study was 57.1 years. The analysis of the effect of education and marital status on differences in the assessment of quality of life showed that these variables resulted in differences in the sphere related to social contacts (better educated women more often avoided social contacts) and in feeling of fatigue and exhaustion (the participants who were in a relationship indicated less fatigue and exhaustion). Conclusions Mastectomy caused by breast cancer in women and related chemotherapy and radiotherapy negatively affect the physical and emotional condition of patients involving mental stress. Selected socio-demographic factors and elements of life style co-exist with each other, interpenetrating; thus the assessment of quality of life should comprise a set of factors and take into consideration their mutual interrelations. PMID:23788946

A Multivariate Analysis of the Early Dropout Process

ERIC Educational Resources Information Center

Fiester, Alan R.; Rudestam, Kjell E.

1975-01-01

Principal-component factor analyses were performed on patient input (demographic and pretherapy expectations), therapist input (demographic), and patient perspective therapy process variables that significantly differentiated early dropout from nondropout outpatients at two community mental health centers. (Author)

Work engagement in Magnet(®)-designated hospitals: Exploring social and institutional demographics of RNs to optimize improvement efforts.

PubMed

Wonder, Amy Hagedorn

2013-12-01

This study analyzed and evaluated relationships between work engagement (WE) and social/institutional demographic variables of RNs in Magnet(®)-designated hospitals. Organizational structures of Magnet-designated hospitals are recognized to promote engagement of RNs. Because little is known about relationships between WE and the social/institutional demographics of nurses, this study focused on age (generation), gender, education, shift, hours worked per week, percentage of time in direct patient care, and nursing unit. A convenience sample of hospital RNs (n = 220) completed 2 surveys to measure WE and demographic variables in this descriptive correlational study. Shift was significantly related to RN engagement; however, age, gender, education, hours worked per week, percentage of time in direct patient care, and nursing unit were not. This study provides empirical evidence about the relationships between WE and social/institutional characteristics of RNs. The findings are relevant to patients, nurses, nurse leaders, and organizations.

Epilepsy-related clinical factors and psychosocial functions in pediatric epilepsy.

PubMed

Eom, Soyong; Eun, So-Hee; Kang, Hoon-Chul; Eun, Baik-Lin; Nam, Sang Ook; Kim, Sun Jun; Chung, Hee Jung; Kwon, Soon Hak; Lee, Young-Mock; Lee, Joon Soo; Kim, Dong Wook; Oh, Kyung Ja; Kim, Heung Dong

2014-08-01

The aim of this study was to identify the different influencing patterns of demographic and epilepsy-related variables on various aspects of psychosocial function in pediatric epilepsy. Five hundred ninety-eight patients with pediatric epilepsy between the ages of 4 and 18 years (boys=360, 60% and girls=238, 40%) and their parents participated in the study. Parents completed the Social Maturity Scale (SMS), the Korean version of the Child Behavior Checklist (K-CBCL), and the Korean version of the Quality of Life in Childhood Epilepsy Questionnaire (K-QOLCE) to assess daily living function, behavior, and quality of life. The Children's Global Assessment Scale (CGAS) was completed by clinicians to assess general adaptive function. Demographic variables, such as age and sex of child, and epilepsy-related clinical variables, including seizure type, seizure frequency, duration of epilepsy, and number of medications, were obtained from medical records. Demographic and epilepsy-related clinical variables had a strong influence (22-32%) on the cognition-related domain such as general adaptive function, school/total competence, and quality of life for cognitive function while a comparatively smaller effect (2-16%) on the more psychological domain including behavioral, emotional, and social variables. Younger age, shorter duration of illness, and smaller number of medications showed a strong positive impact on psychosocial function in pediatric epilepsy, particularly for adaptive function, competence, and quality-of-life aspects. Given the wide range of impact of demographic and clinical variables on various facets of psychosocial functions, more specific understanding of the various aspects of factors and their particular pattern of influence may enable more effective therapeutic approaches that address both the medical and psychological needs in pediatric epilepsy. Copyright © 2014 Elsevier Inc. All rights reserved.

Use of demographic and pharmacy data to identify patients included within both the Clinical Practice Research Datalink (CPRD) and The Health Improvement Network (THIN).

PubMed

Carbonari, Dena M; Saine, M Elle; Newcomb, Craig W; Blak, Betina; Roy, Jason A; Haynes, Kevin; Wood, Jennifer; Gallagher, Arlene M; Bhullar, Harshvinder; Cardillo, Serena; Hennessy, Sean; Strom, Brian L; Lo Re, Vincent

2015-09-01

Pharmacoepidemiology researchers often utilize data from two UK electronic medical record databases, the Clinical Practice Research Datalink (CPRD) and The Health Improvement Network (THIN), and may choose to combine the two in an effort to increase sample size. To minimize duplication of data, previous studies examined the practice-level overlap between these databases. However, the proportion of overlapping patients remains unknown. We developed a method using demographic and pharmacy variables to identify patients included in both CPRD and THIN, and applied this method to measure the proportion of overlapping patients who initiated the oral anti-diabetic drug saxagliptin. We conducted a cross-sectional study among patients initiating saxagliptin in CPRD and THIN between October 2009 and September 2012. Within both databases, we identified patients: (i) ≥18 years, (ii) newly prescribed saxagliptin, and (iii) with ≥180 days enrollment prior to saxagliptin initiation. Demographic data (birth year, sex, patient registration date, family number, and marital status) and prescriptions (including dates) for the first two oral anti-diabetic drugs prescribed within the study period were used to identify matching patients. Among 4202 CPRD and 3641 THIN patients initiating saxagliptin, 2574 overlapping patients (61% of CPRD saxagliptin initiators; 71% of THIN saxagliptin initiators) were identified. Among these patients, 2474 patients (96%) perfectly matched on all demographic and prescription data. Within each database, over 60% of patients initiating saxagliptin were included within both CPRD and THIN. Combined demographic and prescription data can be used to identify patients included in both CPRD and THIN. Copyright © 2015 John Wiley & Sons, Ltd.

Developing population models with data from marked individuals

USGS Publications Warehouse

Hae Yeong Ryu,; Kevin T. Shoemaker,; Eva Kneip,; Anna Pidgeon,; Patricia Heglund,; Brooke Bateman,; Thogmartin, Wayne E.; Reşit Akçakaya,

2016-01-01

Population viability analysis (PVA) is a powerful tool for biodiversity assessments, but its use has been limited because of the requirements for fully specified population models such as demographic structure, density-dependence, environmental stochasticity, and specification of uncertainties. Developing a fully specified population model from commonly available data sources – notably, mark–recapture studies – remains complicated due to lack of practical methods for estimating fecundity, true survival (as opposed to apparent survival), natural temporal variability in both survival and fecundity, density-dependence in the demographic parameters, and uncertainty in model parameters. We present a general method that estimates all the key parameters required to specify a stochastic, matrix-based population model, constructed using a long-term mark–recapture dataset. Unlike standard mark–recapture analyses, our approach provides estimates of true survival rates and fecundities, their respective natural temporal variabilities, and density-dependence functions, making it possible to construct a population model for long-term projection of population dynamics. Furthermore, our method includes a formal quantification of parameter uncertainty for global (multivariate) sensitivity analysis. We apply this approach to 9 bird species and demonstrate the feasibility of using data from the Monitoring Avian Productivity and Survivorship (MAPS) program. Bias-correction factors for raw estimates of survival and fecundity derived from mark–recapture data (apparent survival and juvenile:adult ratio, respectively) were non-negligible, and corrected parameters were generally more biologically reasonable than their uncorrected counterparts. Our method allows the development of fully specified stochastic population models using a single, widely available data source, substantially reducing the barriers that have until now limited the widespread application of PVA. This method is expected to greatly enhance our understanding of the processes underlying population dynamics and our ability to analyze viability and project trends for species of conservation concern.

Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data

DOE PAGES

Zhu, Lei; Gonder, Jeffrey; Lin, Lei

2017-08-16

With the development of and advances in smartphones and global positioning system (GPS) devices, travelers’ long-term travel behaviors are not impossible to obtain. This study investigates the pattern of individual travel behavior and its correlation with social-demographic features. For different social-demographic groups (e.g., full-time employees and students), the individual travel behavior may have specific temporal-spatial-mobile constraints. The study first extracts the home-based tours, including Home-to-Home and Home-to-Non-Home, from long-term raw GPS data. The travel behavior pattern is then delineated by home-based tour features, such as departure time, destination location entropy, travel time, and driving time ratio. The travel behavior variabilitymore » describes the variances of travelers’ activity behavior features for an extended period. After that, the variability pattern of an individual’s travel behavior is used for estimating the individual’s social-demographic information, such as social-demographic role, by a supervised learning approach, support vector machine. In this study, a long-term (18-month) recorded GPS data set from Puget Sound Regional Council is used. The experiment’s result is very promising. In conclusion, the sensitivity analysis shows that as the number of tours thresholds increases, the variability of most travel behavior features converges, while the prediction performance may not change for the fixed test data.« less

Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhu, Lei; Gonder, Jeffrey; Lin, Lei

With the development of and advances in smartphones and global positioning system (GPS) devices, travelers’ long-term travel behaviors are not impossible to obtain. This study investigates the pattern of individual travel behavior and its correlation with social-demographic features. For different social-demographic groups (e.g., full-time employees and students), the individual travel behavior may have specific temporal-spatial-mobile constraints. The study first extracts the home-based tours, including Home-to-Home and Home-to-Non-Home, from long-term raw GPS data. The travel behavior pattern is then delineated by home-based tour features, such as departure time, destination location entropy, travel time, and driving time ratio. The travel behavior variabilitymore » describes the variances of travelers’ activity behavior features for an extended period. After that, the variability pattern of an individual’s travel behavior is used for estimating the individual’s social-demographic information, such as social-demographic role, by a supervised learning approach, support vector machine. In this study, a long-term (18-month) recorded GPS data set from Puget Sound Regional Council is used. The experiment’s result is very promising. In conclusion, the sensitivity analysis shows that as the number of tours thresholds increases, the variability of most travel behavior features converges, while the prediction performance may not change for the fixed test data.« less

Demographic and social variables associated with psychiatric and school-related indicators for Asian/Pacific-Islander adolescents.

PubMed

Hishinuma, Earl S; Johnson, Ronald C; Carlton, Barry S; Andrade, Naleen N; Nishimura, Stephanie T; Goebert, Deborah A; Yuen, Noelle Y C; Wegner, Eldon L; Makini, George K; Nahulu, Linda B; Else, Iwalani R N; Chang, Janice Y

2004-12-01

Factors associated with Asian/Pacific-Islander adolescent adjustment is a greatly neglected research area. The purpose of the present study was to investigate the relation between demographic, social and adjustment measures based on a large-scale investigation of Asian/Pacific-Islander youths. A total of 2577 adolescents were surveyed across 4 public schools in Hawai'i during the 1992--1993 school year. Three social variables (number of relatives frequently seen, family support and friends' support) exhibited statistically significant but low correlations. Family support had the highest negative association with the four psychiatric symptoms (depression, anxiety, aggression, substance use). Friends' support was inconsistently associated with the adjustment measures, and the number of relatives frequently seen resulted in negligible effects. In contrast, demographic variables, especially ethnicity, played a much greater role in the association with the four school-related measures (grade-point average, absences, suspensions, conduct infractions). For Asian/Pacific-Islander youths, the quality of the social supports, including family relations, may be particularly important in the adolescents' adjustment. When examining school-related outcomes, demographic variables, with particular emphases on ethnicity and culture, must be considered. When developing and implementing prevention and intervention services and programs, consideration of family and ethnic-cultural influences should be taken into account, with further research needed in several related domains: other SES influences, life stressors, migration-generational effects, ethnic identity, self-concept indicators and socio-political aspects.

"My child has a sleep problem": a cross-cultural comparison of parental definitions.

PubMed

Sadeh, Avi; Mindell, Jodi; Rivera, Luis

2011-05-01

Sleep problems are highly prevalent in early childhood. In many cases, parents seek professional help when they suspect their child suffers from a sleep problem. The aim of this study was to explore sleep, demographic and cultural factors associated with parental definition of child sleep problem in a large-scale, cross cultural study. Parents (or caregivers) of 29,287 infants and toddlers (aged 0-3 years) from 17 countries completed a questionnaire on their child's sleep patterns, sleep setting, and demographic variables. The results indicated that, in comparison to parents from predominantly Caucasian (PC) countries, parents from predominantly Asian (PA) countries were significantly more likely to identify a sleep problem in their children (26% vs 52% overall; 2% vs 17% "severe" sleep problem). Furthermore, whereas infant sleep variables were strong predictors of a sleep problem definition in PC countries, they were significantly less predictive in PA countries where demographic variables played a significant role. These results highlight the need to further explore the role of demographic and cultural variables in determining parental perception of a sleep problem, a perception that relates to help seeking professional treatment for infant sleep problems. Our findings also emphasize the need to educate parents about infant and toddler sleep and to provide parents information and screening tools to help them identify sleep problems in a more evidence-based approach. Copyright © 2011 Elsevier B.V. All rights reserved.

Validity and Reliability of the 8-Item Work Limitations Questionnaire.

PubMed

Walker, Timothy J; Tullar, Jessica M; Diamond, Pamela M; Kohl, Harold W; Amick, Benjamin C

2017-12-01

Purpose To evaluate factorial validity, scale reliability, test-retest reliability, convergent validity, and discriminant validity of the 8-item Work Limitations Questionnaire (WLQ) among employees from a public university system. Methods A secondary analysis using de-identified data from employees who completed an annual Health Assessment between the years 2009-2015 tested research aims. Confirmatory factor analysis (CFA) (n = 10,165) tested the latent structure of the 8-item WLQ. Scale reliability was determined using a CFA-based approach while test-retest reliability was determined using the intraclass correlation coefficient. Convergent/discriminant validity was tested by evaluating relations between the 8-item WLQ with health/performance variables for convergent validity (health-related work performance, number of chronic conditions, and general health) and demographic variables for discriminant validity (gender and institution type). Results A 1-factor model with three correlated residuals demonstrated excellent model fit (CFI = 0.99, TLI = 0.99, RMSEA = 0.03, and SRMR = 0.01). The scale reliability was acceptable (0.69, 95% CI 0.68-0.70) and the test-retest reliability was very good (ICC = 0.78). Low-to-moderate associations were observed between the 8-item WLQ and the health/performance variables while weak associations were observed between the demographic variables. Conclusions The 8-item WLQ demonstrated sufficient reliability and validity among employees from a public university system. Results suggest the 8-item WLQ is a usable alternative for studies when the more comprehensive 25-item WLQ is not available.

Assessing digital literacy in web-based physical activity surveillance: the WIN study.

PubMed

Mathew, Merly; Morrow, James R; Frierson, Georita M; Bain, Tyson M

2011-01-01

PURPOSE. Investigate relations between demographic characteristics and submission method, Internet or paper, when physical activity behaviors are reported. DESIGN. Observational. SETTING . Metropolitan. SUBJECTS. Adult women (N  =  918) observed weekly for 2 years (total number of weekly reports, 44,963). MEASURES. Independent variables included age, race, education, income, employment status, and Internet skills. Dependent variables were method of submission (Internet or paper) and adherence. ANALYSIS . Logistic regression to analyze weekly odds of submitting data online and meeting study adherence criteria. Model 1 investigated method of submission, model 2 analyzed meeting study's Internet adherence, and model 3 analyzed meeting total adherence regardless of submission method. RESULTS. Whites, those with good Internet skills, and those reporting higher incomes were more likely to log online. Those who were white, older, and reported good Internet skills were more likely to be at least 75% adherent online. Older women were more likely to be adherent regardless of method. Employed women were less likely to log online or be adherent. CONCLUSION . Providing participants with multiple submission methods may reduce potential bias and provide more generalizable results relevant for future Internet-based research.

An assessment of the demographic and clinical correlates of the dimensions of alcohol use behaviour.

PubMed

Smith, Gillian W; Shevlin, Mark; Murphy, Jamie; Houston, James E

2010-01-01

To identify population-based clinical and demographic correlates of alcohol use dimensions. Using data from a population-based sample of Great Britain (n = 7849), structural equation modelling (SEM) was used to identify associations between demographic and clinical variables and two competing dimensional models of the Alcohol Use Disorders Identification Test (AUDIT). A two-factor SEM fit best. In this model, Factor 1, alcohol consumption, was associated with male sex, younger age, lower educational attainment, generalized anxiety disorder (GAD) and suicide attempts. Factor 2, alcohol-related problems, was associated with the demographic variables (to a lesser extent) and to a wider range of clinical variables, including depressive episode, GAD, mixed anxiety and depressive disorder, obsessive compulsive disorder, phobia, suicidal thoughts and suicide attempts. The one-factor SEM was associated with demographic and all assessed clinical correlates; however, this model did not fit the data well. Two main conclusions justify the two-factor approach to alcohol use classification. First, the model fit was considerably superior and, second, the dimensions of alcohol consumption and alcohol-related problems vary considerably in their associations with measures of demographic and clinical risk. A one-factor representation of alcohol use, for instance, would fail to recognize that measures of affective/anxiety disorders are more consistently related to alcohol-related problems than to alcohol consumption. It is suggested therefore that to fully understand the complexity of alcohol use behaviour and its associated risk, future research should acknowledge the basic underlying dimensional structure of the construct.

Place, Poverty, and Algebra: A Statewide Comparative Spatial Analysis of Variable Relationships

ERIC Educational Resources Information Center

Hogrebe, Mark C.; Tate, William F.

2012-01-01

Place matters in moderating variable relationships between algebra performance and educational variables because there are differences on the socioeconomic (SES) poverty-affluence continuum that shape local contexts. This article examines relationships between variables for school district demographic composition, teaching and financial contexts,…

Evidence that theory of planned behaviour variables mediate the effects of socio-demographic variables on homeless people's participation in service programmes.

PubMed

Christian, Julie; Armitage, Christopher J; Abrams, Dominic

2007-09-01

This article reports findings from two studies (N = 88, N = 100) using Ajzen's theory of planned behaviour (TPB) to predict homeless people's uptake of service programmes. Study 1 was conducted with an opportunity sample whereas Study 2 employed a representative sample. Both studies provide support for the application of the TPB, and demonstrate that the effects of demographic characteristics on behaviour were mediated by TPB variables. The discussion focuses on the role of attitudinal and normative components in actual behaviour, and on the potential role of social normative processes and stigmatization in homeless people's uptake of services.

Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability

EPA Science Inventory

We incorporate inter-individual variability, including variability across demographic subgroups, into an open-source high-throughput (HT) toxicokinetics (TK) modeling framework for use in a next-generation risk prioritization approach. Risk prioritization involves rapid triage of...

Modeling demographic performance of northern spotted owls relative to forest habitat in Oregon

USGS Publications Warehouse

Olson, Gail S.; Glenn, Elizabeth M.; Anthony, Robert G.; Forsman, Eric D.; Reid, Janice A.; Loschl, Peter J.; Ripple, William J.

2004-01-01

Northern spotted owls (Strix occidentalis caurina) are known to be associated with late-successional forests in the Pacific Northwest of the United States, but the effects of habitat on their demographic performance are relatively unknown. We developed statistical models relating owl survival and productivity to forest cover types within the Roseburg Study Area in the Oregon Coast Range of Oregon, USA. We further combined these demographic parameters using a Leslie-type matrix to obtain an estimate of habitat fitness potential for each owl territory (n = 94). We used mark–recapture methods to develop models for survival and linear mixed models for productivity. We measured forest composition and landscape patterns at 3 landscape scales centered on nest and activity sites within owl territories using an aerial photo-based map and a Geographic Information System (GIS). We also considered additional covariates such as age, sex, and presence of barred owls (Strix varia), and seasonal climate variables (temperature and precipitation) in our models. We used Akaike's Information Criterion (AIC) to rank and compare models. Survival had a quadratic relationship with the amount of late- and mid-seral forests within 1,500 m of nesting centers. Survival also was influenced by the amount of precipitation during the nesting season. Only 16% of the variability in survival was accounted for by our best model, but 85% of this was due to the habitat variable. Reproductive rates fluctuated biennially and were positively related to the amount of edge between late- and mid-seral forests and other habitat classes. Reproductive rates also were influenced by parent age, amount of precipitation during nesting season, and presence of barred owls. Our best model accounted for 84% of the variability in productivity, but only 3% of that was due to the habitat variable. Estimates of habitat fitness potential (which may range from 0 to infinity) for the 94 territories ranged from 0.74 to 1.15 (x̄ = 1.05, SE = 0.07). All but 1 territory had 95% confidence intervals overlapping 1.0, indicating a potentially stable population based on habitat pattern. Our results seem to indicate that while mid- and late-seral forests are important to owls, a mixture of these forest types with younger forest and nonforest may be best for owl survival and reproduction. Our results are consistent with those of researchers in northern California, USA, who used similar methods in their analyses. However, we believe that given the low variability in survival and productivity attributed to habitat, further study is needed to confirm our conclusions before they can be used to guide forest management actions for spotted owls.

A Demographic Analysis of Suicide Among U.S. Navy Personnel

DTIC Science & Technology

1997-08-01

estimates of a Poisson- distributed variable according to the procedure described in Lilienfeld and Lilienfeld .27 Based on averaged age-specific rates of...n suicides, the total number of pairs will be n(n- 1)/2). The Knox method tests the null hypothesis that the event of a pair of suicides being close...significantly differ. It is likely, however, that the military’s required suicide prevention programs and psychological autopsies help to ascertain as

Overweight and Obesity in School Children of a Hill State in North India: Is the Dichotomy Urban-Rural or Socio-Economic? Results from a Cross-Sectional Survey.

PubMed

Bhargava, Madhavi; Kandpal, S D; Aggarwal, Pradeep; Sati, Hem Chandra

2016-01-01

Overweight and obesity are a public health problem in India not only in adults but also in children. The authors sought to estimate the prevalence of overweight and obesity in school-going children of 6-17 years of age and examine its demographic and dietary correlates in context of their urban-rural status and socio-economic status. In this cross-sectional survey height and weight were measured in 1266 school children in government and private schools of urban and rural areas. Dietary assessment was done using single day 24-hour dietary recall method. The data were analyzed using SPSS (IBM SPSS Statistics Version 19) and WHO AnthroPlus Software. Factorial ANOVA was used for testing interaction within and between subgroups for continuous variables and Chi-square test was used for categorical variables. It was found that the overall prevalence of overweight was 15.6% of which 5.4% were obese, with maximum prevalence in boys attending urban private schools. The mean caloric intake in the study population with 24-hour dietary recall method was 1558.2 kilocalories (SD: 428 kilocalories). Overweight and obesity is a significant problem in school-going children. Higher socio-economic status continues to remain an important driver of this epidemic in the younger generation and affects demographic and dietary determinants of this problem.

Work stress, role conflict, social support, and psychological burnout among teachers.

PubMed

Burke, R J; Greenglass, E

1993-10-01

This study examined a research model developed to understand psychological burnout among school-based educators. Data were collected from 833 school-based educators using questionnaires completed anonymously. Four groups of predictor variables identified in previous research were considered: individual demographic and situational variables, work stressors, role conflict, and social support. Some support for the model was found. Work stressors were strong predictors of psychological burnout. Individual demographic characteristics, role conflict, and social support had little effect on psychological burnout.

Demographic factors and traffic crashes. Part 1, descriptive statistics and models

DOT National Transportation Integrated Search

1998-08-01

This research analyzes the Department of Highway Safety and Motor Vehicle's (DHSMV) 1993 to 1995 crash data. There are four demographic variables investigated throughout the research, which are age, gender, race, and residency. To show general trends...

Reading, Demographic, Social and Psychological Factors Related to Pre-adolescent Smoking and Non-smoking Behaviors and Attitudes.

ERIC Educational Resources Information Center

Sunseri, Albert J.; And Others

1983-01-01

A study examined reading, demographic, social, and psychological factors related to preadolescent smoking and nonsmoking behaviors and attitudes. Variables studied included reading achievement, family involvement, and racial and sex differences. (Authors/CJ)

An Application of Robust Method in Multiple Linear Regression Model toward Credit Card Debt

NASA Astrophysics Data System (ADS)

Amira Azmi, Nur; Saifullah Rusiman, Mohd; Khalid, Kamil; Roslan, Rozaini; Sufahani, Suliadi; Mohamad, Mahathir; Salleh, Rohayu Mohd; Hamzah, Nur Shamsidah Amir

2018-04-01

Credit card is a convenient alternative replaced cash or cheque, and it is essential component for electronic and internet commerce. In this study, the researchers attempt to determine the relationship and significance variables between credit card debt and demographic variables such as age, household income, education level, years with current employer, years at current address, debt to income ratio and other debt. The provided data covers 850 customers information. There are three methods that applied to the credit card debt data which are multiple linear regression (MLR) models, MLR models with least quartile difference (LQD) method and MLR models with mean absolute deviation method. After comparing among three methods, it is found that MLR model with LQD method became the best model with the lowest value of mean square error (MSE). According to the final model, it shows that the years with current employer, years at current address, household income in thousands and debt to income ratio are positively associated with the amount of credit debt. Meanwhile variables for age, level of education and other debt are negatively associated with amount of credit debt. This study may serve as a reference for the bank company by using robust methods, so that they could better understand their options and choice that is best aligned with their goals for inference regarding to the credit card debt.

Social Science Methods for Twins Data: Integrating Causality, Endowments and Heritability

PubMed Central

Kohler, Hans-Peter; Behrman, Jere R.; Schnittker, Jason

2011-01-01

Twins have been extensively used in economics, sociology and behavioral genetics to investigate the role of genetic endowments on a broad range of social, demographic and economic outcomes. However, the focus in these literatures has been distinct: the economic literature has been primarily concerned with the need to control for unobserved endowments—including as an important subset, genetic endowments—in analyses that attempt to establish the impact of one variable, often schooling, on a variety of economic, demographic and health outcomes. Behavioral genetic analyses have mostly been concerned with decomposing the variation in the outcomes of interest into genetic, shared environmental and non-shared environmental components, with recent multivariate analyses investigating the contributions of genes and the environment to the correlation and causation between variables. Despite the fact that twins studies and the recognition of the role of endowments are central to both of these literatures, they have mostly evolved independently. In this paper we develop formally the relationship between the economic and behavioral genetic approaches to the analyses of twins, and we develop an integrative approach that combines the identification of causal effects, which dominates the economic literature, with the decomposition of variances and covariances into genetic and environmental factors that is the primary goal of behavioral genetic approaches. We apply this integrative ACE-β approach to an illustrative investigation of the impact of schooling on several demographic outcomes such as fertility and nuptiality and health. PMID:21845929

Maltreatment type, exposure characteristics, and mental health outcomes among clinic referred trauma-exposed youth.

PubMed

Hodgdon, Hilary B; Spinazzola, Joseph; Briggs, Ernestine C; Liang, Li-Jung; Steinberg, Alan M; Layne, Christopher M

2018-05-28

Building upon prior research documenting differential effects of psychological maltreatment, physical, and sexual abuse on youth mental health outcomes (Spinazzola et al., 2014), the present study sought to clarify the relative predictive contributions of type of maltreatment compared to salient exposure characteristics. The sample included 5058 clinic-referred youth from the Core Dataset (CDS) of the National Child Traumatic Stress Network (NCTSN) with lifetime histories of exposure to one or more of three specific types of maltreatment: psychological maltreatment (PM), physical abuse (PA), and sexual abuse (SA). First, we examined variations in salient trauma characteristics (age of onset, duration of exposure, number of co-occurring trauma types, and perpetrator type and number) by maltreatment group. Second, we examined whether type of maltreatment remained associated with mental health measures after adjusting for demographic variables and trauma characteristics. Profiles for youth with PM were more severe than youth who experienced either PA or SA only. Co-occurring PM and PA was associated with the most severe trauma exposure profile and with severity of PTSD symptoms, even after adjusting for demographic and trauma characteristics. Youth exposed to SA only had a distinct trauma profile and greater PTSD symptom severity after adjusting for demographic and trauma characteristic variables. Study findings hold important implications for trauma screening, assessment, and intervention, as well as for traumatic stress research methods that extend beyond abuse-specific or cumulative-risk approaches. Copyright © 2018 Elsevier Ltd. All rights reserved.

Few smokers in South Auckland access subsidised nicotine replacement therapy.

PubMed

Thornley, Simon; Jackson, Gary; McRobbie, Hayden; Sinclair, Siniva; Smith, James

2010-01-29

Nicotine replacement therapy (NRT) is a life-saving, cost-effective smoking cessation treatment that doubles the chances of long-term abstinence regardless of the amount of additional support provided. We investigate the proportion of working age people (age 15-64 years) in Counties Manukau District Health Board (CMDHB) who obtained at least one packet of subsidised NRT during 2007, and whether this varied by demographic characteristics. We linked health data in residents of CMDHB aged 15 to 64, using a cross sectional method, to estimate the odds of Maori and Pacific ethnic groups with high smoking prevalence accessing subsidised NRT during 2007 using logistic regression. Demographic variables such as age, gender, other ethnic groups, and socioeconomic deprivation (NZdep) were also included. Subsidised NRT was infrequently (proportion of 'ever users' 0.5%/year, or about 2.1% of smokers) claimed for in CMDHB in 2007. When adjusted for demographic variables, Pacific peoples were 60% less likely to claim NRT than European (odds ratio 0.34; 95%CI 0.29-0.41), despite a higher prevalence of smoking in the former group. An over four-fold increased use of NRT was observed in those aged 55 to 64 years compared to 15 to 25 year olds. Dispensing of NRT is low overall in CMDHB. Lowest rates of treatment were observed in younger age groups, men and Pacific and Maori people. Programmes to increase uptake of such treatment in these groups are urgently needed.

The Influence of Infant Feeding Practices on Infant Mortality in Southern Africa.

PubMed

Motsa, Lungile F; Ibisomi, Latifat; Odimegwu, Clifford

2016-10-01

Objective To examine the adjusted and unadjusted effects of infant feeding practices on infant mortality in Southern Africa. Methods A merged dataset from the most recent Demographic and Health Surveys for Lesotho, Swaziland, Zambia and Zimbabwe was analysed using the Cox Proportional Hazard Model. A total number of 13,218 infants born in 5 years preceding all the surveys with information on infant feeding practices constituted the study population. Infant mortality was the outcome variable and infant feeding practices categorised into; no breastfeeding, partial breastfeeding and exclusive breastfeeding were the main explanatory variables. Maternal demographic and socio-economic characteristics and infants' bio-demographic characteristics were also studied. Results Although, exclusive breastfeeding was quite low (12 %), exclusively breastfed infants exhibited a 97 % lower risk of dying during infancy compared to infants not breastfed in the region. Variations existed by country in the levels and patterns of both infant mortality and infant feeding practices. Mother's country, highest level of education and marital status; child's sex, birth weight and preceding birth interval were the significant predictors of infant mortality in Southern Africa. Conclusions Any form of breastfeeding whether exclusive or partial breastfeeding greatly reduces the risk of infant mortality with the greatest mortality reduction effect observed among exclusively breastfed infants in Southern Africa. To reduce the upsurge of infant mortality, there is the need to step up the effectiveness of child nutrition programmes that promote breastfeeding and put emphasis on exclusive breastfeeding of infants in the region.

Acculturative stress and depression in an elderly Arabic sample.

PubMed

Wrobel, Nancy Howells; Farrag, Mohamed F; Hymes, Robert W

2009-09-01

Acculturative stress and relevant demographic variables, including immigration status, English skills, level of education, age, gender, country of origin, and years since immigration to the U. S. are examined along with their relationship to depressive symptoms. The 200 Arab-American and recent Arab immigrant participants ranged from age 60-92 and represented eight countries of origin. Most had limited fluency in English. Arabic versions of the Multi-dimensional Acculturative Stress Inventory (MASI) and Geriatric Depression Scale were administered. MASI and GDS results indicated greater degrees of acculturative stress and depression for those with a refugee or temporary resident status. More recent entry into the U.S. also predicted greater stress, while greater levels of education and English skills predicted lower levels of stress and depression. Composite stress levels and the nature of stress varied by country of origin. Although demographic variables were predictive of depression when examined separately, multiple regression analyses revealed that perceived acculturative stress, particularly pressure to learn English, provided a notable increment in prediction of depression over the demographic variables.

[Association between self-directed learning behaviors, socio-demographic and academic variables among medical students].

PubMed

Fasce H, Eduardo; Ortega B, Javiera; Pérez V, Cristhian; Márquez U, Carolina; Parra P, Paula; Ortiz M, Liliana; Matus, Olga

2013-09-01

Medical education must encourage autonomous learning behaviors among students. However the great income profile disparity among university students may influence their capacity to acquire such skills. To assess the association between self-directed learning, socio-demographic and academic variables. The self-directed learning readiness scale was applied to 202 medical students aged between 17 and 25 years (64% males). Simultaneously information about each surveyed participant was obtained from the databases of the medical school. There is an association between socio-demographic and academic variables with the general scale of self-directed learning and the subscales learning planning and willingness to learn. Participants coming from municipal schools have a greater willingness to learn than their counterparts coming from subsidized and private schools. High school grades are related to self-directed learning and the subscales learning planning and self-assessment. Among the surveyed medical students, there is a relationship between self-directed learning behaviors, the type of school where they come from and the grades that they obtained during high school.

A study of demographic, situational, and motivational factors affecting restraint usage in automobiles

DOT National Transportation Integrated Search

1983-02-01

Data were obtained from a nationwide telephone survey, extensive face-to-face interviews, and observations to assess the impact of demographic, situational, and motivational variables on seat belt use. The results revealed that almost one-third of th...

A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics.

PubMed

Fukuchi, Reginaldo K; Fukuchi, Claudiane A; Duarte, Marcos

2017-01-01

The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to examine the effect of running speed on selected gait-biomechanics variables related to both running injuries and running economy. The lower-extremity kinematics and kinetics data of 28 regular runners were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes. A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats. In addition, a file of metadata, including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. Overall, there was an effect of running speed on most of the gait-biomechanics variables selected for this study. However, the foot-strike patterns were not affected by running speed. Several applications of this dataset can be anticipated, including testing new methods of data reduction and variable selection; for educational purposes; and answering specific research questions. This last application was exemplified in the study's second objective.

Global Quality of Life Among WHI Women Aged 80 Years and Older

PubMed Central

Brunner, Robert L.; Hogan, Patricia E.; Danhauer, Suzanne C.; Brenes, Gretchen A.; Bowen, Deborah J.; Snively, Beverly M.; Goveas, Joseph S.; Saquib, Nazmus; Zaslavsky, Oleg; Shumaker, Sally A.

2016-01-01

Abstract Background. The number of older adults living to age 80 and older is increasing rapidly, particularly among women. Correlates of quality of life (QOL) in very advanced ages are not known. We examined the association of demographic, social-psychological, lifestyle, and physical health variables with global QOL in a Women’s Health Initiative (WHI) cohort of women aged 80 and older. Methods. 26,299 WHI participants, who had completed a recent psychosocial and medical update, were included in these analyses. Global QOL was assessed by a single item, asking the women to rate their overall QOL on a scale from 0 to 10. Characteristics of the women were examined by the level of their transformed global QOL scores (≤50, 50–70, ≥70), and multiple regression was used to examine which demographic, social-psychological, lifestyle and health variables were independently associated with higher global QOL. Results. Social-psychological and current health variables were more strongly associated with global QOL than a history of selected comorbid conditions. In particular, higher self-rated health and fewer depressive symptoms were the most strongly associated with better global QOL in WHI women ≥80 years. Conclusions. Interventions to reduce depressive symptoms and improve health may lead to better self-reported health and global QOL among older women. Physical and mental health screenings followed by evidence-based interventions are imperative in geriatric care. PMID:26858327

Aggression against Women by Men: Sexual and Spousal Assault.

ERIC Educational Resources Information Center

Dewhurst, Ann Marie; And Others

1992-01-01

Compared 19 sexual offenders, 22 batterers, 10 violent community comparison subjects, and 21 community comparison subjects on demographic, personality, and attitudinal variables. Discriminating variables correctly classified 75 percent of participants. Hostility toward women and depression were two best discriminating variables, suggesting that…

Impact of Socio-Health Factors on Life Expectancy in the Low and Lower Middle Income Countries

PubMed Central

MONDAL, Md. Nazrul Islam; SHITAN, Mahendran

2013-01-01

Abstract Background This study is concerned with understanding the impact of demographic changes, socioeconomic inequalities, and the availability of health factors on life expectancy (LE) in the low and lower middle income countries. Methods The cross-country data were collected from 91 countries from the United Nations agencies in 2012. LE is the response variable with demographics (total fertility rate, and adolescent fertility rate), socioeconomic status (mean year of schooling, and gross national income per capita), and health factors (physician density, and HIV prevalence rate) are as the three main predictors. Stepwise multiple regression analysis is used to extract the main factors. Results The necessity of more healthcare resources and higher levels of socioeconomic advantages are more likely to increase LE. On the other hand, demographic changes and health factors are more likely to increase LE by way of de-cease fertility rates and disease prevalence. Conclusion These findings suggest that international efforts should aim at increasing LE, especially in the low income countries through the elimination of HIV prevalence, adolescent fertility, and illiteracy. PMID:26060637

CLINICAL DEMOGRAPHIC CHARACTERISTICS OF TOTAL KNEE ARTHROPLASTY IN A UNIVERSITY HOSPITAL

PubMed Central

Souza, José Miguel Francisco da Silva; Ferreira, Ricardo dos Santos; de Lima, Alexandre José Pereira; de Sá, Airton César Pereira; de Albuquerque, Paulo Cezar Vidal Carneiro

2016-01-01

ABSTRACT Objective: To assess socio-demographic characteristics of patients undergoing total knee arthroplasty (TKA) in a public university hospital, evaluating the outcome infection and associated factors. Method: A retrospective study was carried out with 78 patients undergoing TKA, from 2013 to 2014. The socio-demographic and clinical characteristics of the patients were collected. Comparison between infected and non-infected patients was performed to find out which variables were possibly associated to this complication. Result: Of 81 arthroplasties performed, patients were older (mean age 64 years), women (79%), with primary osteoarthritis as main etiology (87.6%) and most had comorbidities (82.7%). Infection occurred in 16% of patients, and this outcome associated with age older than 65 years (p=0.023) and the occurrence of deep vein thrombosis (p=0.027). Conclusion: Patients undergoing TKA are mostly elderly women with primary osteoarthritis in the knee and comorbidities who developed infection in 16% of cases. More studies need to be conducted aimed at creating specific protocols in order to improve the quality of clinical practice. Level of Evidence III, Retrospective Comparative Study. PMID:28924354

The re-identification risk of Canadians from longitudinal demographics

PubMed Central

2011-01-01

Background The public is less willing to allow their personal health information to be disclosed for research purposes if they do not trust researchers and how researchers manage their data. However, the public is more comfortable with their data being used for research if the risk of re-identification is low. There are few studies on the risk of re-identification of Canadians from their basic demographics, and no studies on their risk from their longitudinal data. Our objective was to estimate the risk of re-identification from the basic cross-sectional and longitudinal demographics of Canadians. Methods Uniqueness is a common measure of re-identification risk. Demographic data on a 25% random sample of the population of Montreal were analyzed to estimate population uniqueness on postal code, date of birth, and gender as well as their generalizations, for periods ranging from 1 year to 11 years. Results Almost 98% of the population was unique on full postal code, date of birth and gender: these three variables are effectively a unique identifier for Montrealers. Uniqueness increased for longitudinal data. Considerable generalization was required to reach acceptably low uniqueness levels, especially for longitudinal data. Detailed guidelines and disclosure policies on how to ensure that the re-identification risk is low are provided. Conclusions A large percentage of Montreal residents are unique on basic demographics. For non-longitudinal data sets, the three character postal code, gender, and month/year of birth represent sufficiently low re-identification risk. Data custodians need to generalize their demographic information further for longitudinal data sets. PMID:21696636

ACADEMIC OUTCOMES IN CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS

PubMed Central

Zelko, Frank; Beebe, Dean; Baker, Aimee; Nelson, Shannen M; Ali, Aisha; Cedeno, Adlin; Dina, Blair; Klein-Gitelman, Marisa S; Ying, Jun; Brunner, Hermine I

2012-01-01

Objective To explore academic outcomes in childhood-onset systemic lupus erythematosus (cSLE) and their relationship to variables such as demographic and socioeconomic status, neurocognitive functioning, behavioral/emotional adjustment, and cSLE disease status. Methods Forty pairs of children diagnosed with cSLE and healthy best-friend controls were rated by parents on a standardized scale of school competence. Information about participants’ demographic and socioeconomic status was obtained, along with measures of cSLE disease activity and damage. All participants received formal neurocognitive testing and were also rated on standardized scales of behavioral/emotional adjustment and executive functioning. Results Compared to healthy controls, school competence was rated as lower in the cSLE group, although the groups did not differ significantly on indices of cognitive, behavioral, emotional, or executive functioning. School competence ratings were correlated with reading and mathematics achievement test scores in both groups, and with ratings of mental self-regulation in the cSLE group. School competence ratings were correlated with measures of cSLE disease activity and treatment intensity. Conclusion cSLE is associated with inferior parent-rated academic outcomes compared to those noted in demographically-matched peers, despite similar neurocognitive function. The adverse academic outcomes which distinguish children with cSLE from their demographically-matched peers appear to be mediated by SLE disease activity and treatment. PMID:22807373

PubMed

La Torre, Giuseppe; Verrengia, Giovanna; Saulle, Rossella; Kheiraoui, Flavia; Mannocci, Alice

2017-06-28

To identify the determinants of the regional differences in work injuries and mortality rates in Italy. Several linear regression models were built assessing the association between regional differences in work mortality and injury rates (as dependent variables) and socio-demographic factors (occupation and population) and variables describing alcohol consumption, mean age and availability of health care (as independent variables). Data sources are from ISTAT, INAIL, Health for All database and the national report Osservasalute. The analysis was carried out using data coming from all the Italian Regions. The mean work mortality rate for the period 2006-2014 was 7.73 (DS 1.85) per 100,000 workers, while the injury rate was 4503.1 (DS 1413.5) per 100,000 workers. Socio-demographic variables and that related to health care (TC availability) were inversely associated with mortality rates, while for the work injury rates, significant associations with alcohol were found, while Gross domestic product and TC availability were inversely associated. The study pointed out the extreme heterogeneity between different geographical areas in the field of work injury, due to different socio-demographic and economic factors. In the future, health surveillance and work injury and mortality rates could be improved in areas at high risk.

Oral Appliance Treatment Response and Polysomnographic Phenotypes of Obstructive Sleep Apnea

PubMed Central

Sutherland, Kate; Takaya, Hisashi; Qian, Jin; Petocz, Peter; Ng, Andrew T.; Cistulli, Peter A.

2015-01-01

Study Objectives: Mandibular advancement splints (MAS) are an effective treatment for obstructive sleep apnea (OSA); however, therapeutic response is variable. Younger age, female gender, less obesity, and milder and supine-dependent OSA have variably been associated with treatment success in relatively small samples. Our objective was to utilize a large cohort of MAS treated patients (1) to compare efficacy across patients with different phenotypes of OSA and (2) to assess demographic, anthropometric, and polysomnography variables as treatment response predictors. Methods: Retrospective analysis of MAS-treated patients participating in clinical trials in sleep centers in Sydney, Australia between years 2000–2013. All studies used equivalent customized two-piece MAS devices and treatment protocols. Treatment response was defined as (1) apnea-hypopnea index (AHI) < 5/h, (2) AHI < 10/h and ≥ 50% reduction, and (3) ≥ 50% AHI reduction. Results: A total of 425 patients (109 female) were included (age 51.2 ± 10.9 years, BMI 29.2 ± 5.0 kg/m2). MAS reduced AHI by 50.3% ± 50.7% across the group. Supine-predominant OSA patients had lower treatment response rates than non-positional OSA (e.g., 36% vs. 59% for AHI < 10/h). REM-predominant OSA showed a lower response rate than either NREM or non-stage dependent OSA. In prediction modelling, age, baseline AHI, and anthropometric variables were predictive of MAS treatment outcome but not OSA phenotype. Gender was not associated with treatment outcome. Conclusions: Lower MAS treatment response rates were observed in supine and REM sleep. In a large sample, we confirm that demographic, anthropometric, and polysomnographic data only weakly inform about MAS efficacy, supporting the need for alternative objective prediction methods to reliably select patients for MAS treatment. Citation: Sutherland K, Takaya H, Qian J, Petocz P, Ng AT, Cistulli PA. Oral appliance treatment response and polysomnographic phenotypes of obstructive sleep apnea. J Clin Sleep Med 2015;11(8):861–868. PMID:25845897

A multilevel model for cardiovascular disease prevalence in the US and its application to micro area prevalence estimates

PubMed Central

Congdon, Peter

2009-01-01

Background Estimates of disease prevalence for small areas are increasingly required for the allocation of health funds according to local need. Both individual level and geographic risk factors are likely to be relevant to explaining prevalence variations, and in turn relevant to the procedure for small area prevalence estimation. Prevalence estimates are of particular importance for major chronic illnesses such as cardiovascular disease. Methods A multilevel prevalence model for cardiovascular outcomes is proposed that incorporates both survey information on patient risk factors and the effects of geographic location. The model is applied to derive micro area prevalence estimates, specifically estimates of cardiovascular disease for Zip Code Tabulation Areas in the USA. The model incorporates prevalence differentials by age, sex, ethnicity and educational attainment from the 2005 Behavioral Risk Factor Surveillance System survey. Influences of geographic context are modelled at both county and state level, with the county effects relating to poverty and urbanity. State level influences are modelled using a random effects approach that allows both for spatial correlation and spatial isolates. Results To assess the importance of geographic variables, three types of model are compared: a model with person level variables only; a model with geographic effects that do not interact with person attributes; and a full model, allowing for state level random effects that differ by ethnicity. There is clear evidence that geographic effects improve statistical fit. Conclusion Geographic variations in disease prevalence partly reflect the demographic composition of area populations. However, prevalence variations may also show distinct geographic 'contextual' effects. The present study demonstrates by formal modelling methods that improved explanation is obtained by allowing for distinct geographic effects (for counties and states) and for interaction between geographic and person variables. Thus an appropriate methodology to estimate prevalence at small area level should include geographic effects as well as person level demographic variables. PMID:19183458

Determinants of cognitive development of low SES children in Chile: a post-transitional country with rising childhood obesity rates.

PubMed

Galván, Marcos; Uauy, Ricardo; Corvalán, Camila; López-Rodríguez, Guadalupe; Kain, Juliana

2013-09-01

Studies conducted in developing countries have noted associations between concurrent stunting, social-emotional problems and poor cognitive ability in young children. However, the relative contribution of these variables in Latin America is likely changing as undernutrition rates decline and prevalence of childhood obesity rises. We conducted a cross-sectional study of 106 normal-weight and 109 obese preschool children to compare the relative contribution of early nutrition, sociodemographic factors and psychosocial variables on cognitive development in normal-weight and obese preschool children in Chile. The study variables were categorized as: (1) socio-demographic (age, sex, birth order and socioeconomic) (2) early nutrition (maternal height, birth weight, birth length and height at 5 years) (3) psychosocial factors (maternal depression, social-emotional wellbeing and home space sufficiency). In order to assess determinants of cognitive development at 4-5 years we measured intelligence quotient (IQ); variability in normal children was mostly explained by socio-demographic characteristics (r(2) = 0.26), while in obese children early nutritional factors had a significant effect (r(2) = 0.12) beyond socio-demographic factors (r(2) = 0.19). Normal-weight children, who were first born, of slightly better SES and height Z score >1, had an IQ ≥ 6 points greater than their counterparts (p < 0.05). Obese children who were first born with birth weight >4,000 g and low risk of socio-emotional problems had on average ≥5 IQ points greater than their peers (p < 0.05). We conclude that in Chile, a post-transitional country, IQ variability of normal children was mostly explained by socio-demographic characteristics; while in obese children, early nutrition also played a significant role.

Psychological theory in an interdisciplinary context: psychological, demographic, health-related, social, and environmental correlates of physical activity in a representative cohort of community-dwelling older adults.

PubMed

Sniehotta, Falko F; Gellert, Paul; Witham, Miles D; Donnan, Peter T; Crombie, Iain K; McMurdo, Marion E T

2013-09-08

Physical activity (PA) in older adults is influenced by a range of environmental, demographic, health-related, social, and psychological variables. Social cognitive psychological models assume that all influences on behaviour operate indirectly through the models constructs, i.e., via intention and self-efficacy. We evaluated direct, indirect, and moderating relationships of a broad range of external variables with physical activity levels alongside intention and self-efficacy. We performed a cross-sectional survey of a representative and stratified (65-80 and 80+ years; deprived and affluent) sample of 584 community-dwelling people, resident in Scotland. Objectively measured physical activity and questionnaire data were collected. Self-efficacy showed unique relationships with physical activity, controlling for demographic, mental health, social, environmental, and weather variables separately, but the relationship was not significant when controlling for physical health. Overall, results indicating support for a mediation hypothesis, intention and self-efficacy statistically mediate the relationship of most domain variables with physical activity. Moderation analyses show that the relationship between social cognitions and physical activity was stronger for individuals with better physical health and lower levels of socio-economic deprivation. Social cognitive variables reflect a range of known environmental, demographic, health-related and social correlates of physical activity, they mediate the relationships of those correlates with physical activity and account for additional variance in physical activity when external correlates are controlled for, except for the physical health domain. The finding that the social cognition-physical activity relationship is higher for participants with better health and higher levels of affluence raises issues for the applicability of social cognitive models to the most disadvantaged older people.

Manufacturing challenge: An employee perception of the impact of BEM variables on motivation

NASA Astrophysics Data System (ADS)

Nyaude, Alaster

The study examines the impact of Thomas F. Gilbert's Behavior Engineering Model (BEM) variables on employee perception of motivation at an aerospace equipment manufacturing plant in Georgia. The research process involved literature review, and determination of an appropriate survey instrument for the study. The Hersey-Chevalier modified PROBE instrument (Appendix C) was used with Dr Roger Chevalier's validation. The participants' responses were further examined to determine the influence of demographic control variables of age, gender, length of service with the company and education on employee perception of motivation. The results indicated that the top three highly motivating variables were knowledge and skills, capacity and resources. Knowledge and skills was perceived to be highly motivating, capacity as second highly motivating and resources as the third highly motivating variable. Interestingly, the fourth highly motivating variable was information, the fifth was motives and the sixth was incentives. The results also showed that demographic control variables had no influence on employee perception of motivation. Further research may be required to understand to what extend these BEM variables impact employee perceptions of motivation.

Uptake of Meningococcal Vaccine in Arizona Schoolchildren After Implementation of School-Entry Immunization Requirements

PubMed Central

Hills, Rebecca A.; Allwes, Deborah; Rasmussen, Lisa

2013-01-01

Objectives Meningitis and bacteremia due to Neisseria meningitidis are rare but potentially deadly diseases that can be prevented with immunization. Beginning in 2008, Arizona school immunization requirements were amended to include immunization of children aged 11 years or older with meningococcal vaccine before entering the sixth grade. We describe patterns in meningococcal vaccine uptake surrounding these school-entry requirement changes in Arizona. Methods We used immunization records from the Arizona State Immunization Information System (ASIIS) to compare immunization rates in 11- and 12-year-olds. We used principal component analysis and hierarchical cluster analysis to identify and analyze demographic variables reported by the 2010 U.S. Census. Results Adolescent meningococcal immunization rates in Arizona increased after implementation of statewide school-entry immunization requirements. The increase in meningococcal vaccination rates among 11- and 12-year-olds from 2007 to 2008 was statistically significant (p<0.0001). All demographic groups had significantly higher odds of on-schedule vaccination after the school-entry requirement change (odds ratio range = 5.57 to 12.81, p<0.0001). County demographic factors that were associated with lower odds of on-schedule vaccination included higher poverty, more children younger than 18 years of age, fewer high school graduates, and a higher proportion of Native Americans. Conclusions This analysis suggests that implementation of school immunization requirements resulted in increased meningococcal vaccination rates in Arizona, with degree of response varying by demographic profile. ASIIS was useful for assessing changes in immunization rates over time. Further study is required to identify methods to control for population overestimates in registry data. PMID:23277658

Interrelationships between mortality and fertility in Germany: rural and urban Prussia and modern Germany.

PubMed

Entorf, H; Zimmermann, K F

1990-01-01

"The paper investigates the interrelationship between fertility and infant mortality and its economic determinants by time-series methods for historical and modern Germany. It is studied whether the causal effects of infant mortality on fertility have to be considered as hoarding or replacement, and whether the costs of nutrition have an influence on family decision making about demographic variables. Results show that there are indications for replacement motives, and that economic factors matter." (SUMMARY IN FRE AND ITA) excerpt

Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents

USGS Publications Warehouse

Mattson, David J.; Ruther, Elizabeth J.

2012-01-01

Management of pumas in the American West is typified by conflict among stakeholders plausibly rooted in life experiences and worldviews. We used a mail questionnaire to assess demographics, nature-views, puma-related life experiences and behaviors, and support for puma-related policies among residents of northern Arizona. Data from the questionnaire (n = 693 respondents) were used to model behaviors and support for policies. Compared to models based on nature-views and life experiences, those based on demographics had virtually no support from the data. The Utilitarian/Dominionistic nature-view had the strongest effect of any variable in six of seven models, and was associated with firearms and opposition to policies that would limit killing pumas. The Humanistic/Moralistic nature-view was positively associated with non-lethal behaviors and policies in five models. Gender had the strongest effect of any demographic variable. Compared to demographics alone, our results suggest that worldviews provide a more meaningful explanation of reported human behaviors and behavioral intentions regarding pumas.

Achieving fertility control through woman’s autonomy and access to maternal healthcare: Are we on track? In-depth analysis of PDHS-2012-13

PubMed Central

Hassan, Sehar-un-Nisa; Siddiqui, Salma; Mahmood, Ayeshah

2015-01-01

Background and Objective: Fertility control preferences and maternal healthcare have recently become a major concern for developing nations with evidence suggesting that low fertility control rates and poor maternal healthcare are among major obstructions in ensuring health and social status for women. Our objective was toanalyze the factors that influence women’s autonomy, access to maternal healthcare, and fertility control preferences in Pakistan. Methods: Data consisted of 11,761 ever-married women of ages 15-49 years from PDHS, 2012-13. Variables included socio-demographics, women’s autonomy, fertility control preferences and access to maternal healthcare. Results: Findings from multivariate analysis showed that women’s younger age, having less than three number of children and independent or joint decision-making (indicators of high autonomy) remained the most significant predictors for access to better quality maternal healthcare and better fertility control preferences when other variables were controlled. Conclusion: Women’s access to good quality maternal health care and fertility control preferences are directly and indirectly influenced by their demographic characteristics and decision-making patterns in domestic affairs. PMID:26870096

The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range.

PubMed

Van der Elst, Wim; Van Boxtel, Martin P J; Van Breukelen, Gerard J P; Jolles, Jelle

2006-03-01

The Stroop Color-Word Test was administered to 1,856 cognitively screened, healthy Dutch speaking participants aged 24 to 81 years. The effects of age, gender, and education on Stroop test performance were investigated to adequately stratify the normative data. The results showed that especially the speed-dependent Stroop scores (time to complete a subtest), rather than the accuracy measures (the errors made per Stroop sub-task), were profoundly affected by the demographic variables. In addition to the main effects of the demographic variables, an Age Low Level of Education interaction was found for the Error III and the Stroop Interference scores. This suggests that executive function, as measured by the Stroop test, declines with age and that the decline is more pronounced in people with a low level of education. This is consistent with the reserve hypothesis of brain aging (i.e., that education generates reserve capacity against the damaging effects of aging on brain functions). Normative Stroop data were established using both a regression-based and traditional approach, and the appropriateness of both methods for generating normative data is discussed.

Management of orthodontic emergencies in primary care - self-reported confidence of general dental practitioners.

PubMed

Popat, H; Thomas, K; Farnell, D J J

2016-07-08

Objective To determine general dental practitioners' (GDPs) confidence in managing orthodontic emergencies.Design Cross-sectional study.Setting Primary dental care.Subjects and methods An online survey was distributed to dentists practicing in Wales. The survey collected basic demographic information and included descriptions of ten common orthodontic emergency scenarios.Main outcome measure Respondents' self-reported confidence in managing the orthodontic emergency scenarios on a 5-point Likert scale. Differences between the Likert responses and the demographic variables were investigated using chi-squared tests.Results The median number of orthodontic emergencies encountered by respondents over the previous six months was 1. Overall, the self-reported confidence of respondents was high with 7 of the 10 scenarios presented scoring a median of 4 indicating that GDPs were 'confident' in their management. Statistical analysis revealed that GDPs who saw more orthodontic emergencies in the previous six months were more confident when managing the presented scenarios. Other variables such as age, gender, geographic location of practice and number of years practising dentistry were not associated with self-reported confidence.Conclusions Despite GDPs encountering very few orthodontic emergencies in primary care, they appear to be confident in dealing with commonly arising orthodontic emergency situations.

The future demographic niche of a declining grassland bird fails to shift poleward in response to climate change

USGS Publications Warehouse

McCauley, Lisa A.; Ribic, Christine; Pomara, Lars Y.; Zuckerberg, Benjamin

2017-01-01

ContextTemperate grasslands and their dependent species are exposed to high variability in weather and climate due to the lack of natural buffers such as forests. Grassland birds are particularly vulnerable to this variability, yet have failed to shift poleward in response to recent climate change like other bird species in North America. However, there have been few studies examining the effect of weather on grassland bird demography and consequent influence of climate change on population persistence and distributional shifts.ObjectivesThe goal of this study was to estimate the vulnerability of Henslow’s Sparrow (Ammodramus henslowii), an obligate grassland bird that has been declining throughout much of its range, to past and future climatic variability.MethodsWe conducted a demographic meta-analysis from published studies and quantified the relationship between nest success rates and variability in breeding season climate. We projected the climate-demography relationships spatially, throughout the breeding range, and temporally, from 1981 to 2050. These projections were used to evaluate population dynamics by implementing a spatially explicit population model.ResultsWe uncovered a climate-demography linkage for Henslow’s Sparrow with summer precipitation, and to a lesser degree, temperature positively affecting nest success. We found that future climatic conditions—primarily changes in precipitation—will likely contribute to reduced population persistence and a southwestward range contraction.ConclusionsFuture distributional shifts in response to climate change may not always be poleward and assessing projected changes in precipitation is critical for grassland bird conservation and climate change adaptation.

Maternity and paternity in the Pelotas birth cohort from 1982 to 2004-5, Southern Brazil

PubMed Central

Gigante, Denise P; Barros, Fernando C; Veleda, Rosângela; Gonçalves, Helen; Horta, Bernardo L; Victora, Cesar G

2009-01-01

OBJECTIVE To describe the prevalence of maternity and paternity among subjects and its association with perinatal, socioeconomic and demographic variables. METHODS The participants were youth, aged 23, on the average, accompanied in a cohort study since they were born, in 1982, in Pelotas (Southern Brazil) and interviewed in 2004-5. Those who were considered eligible referred having had one or more children, whether these were liveborns or stillborns. Data was collected on reproductive health as well as socioeconomic and demographic information, by means of two different instruments. The independent variables were sex and skin color, family income in 1982 and in 2004-5, changes in income, birth weight and educational level when aged 23 years old. Crude and adjusted analysis were conducted by means of Poisson regression so as to investigate the effects of the independent variables on maternity/paternity during adolescence. RESULTS Among the 4,297 youth interviewed, 1,373 (32%) were parents and 842 (19.6%) of these had experienced maternity/paternity during their adolescence. Planned pregnancy of the first child was directly related to the youth’s age. Socioeconomic variables were inversely related to the occurrence of maternity/paternity during adolescence. The probability of being an adolescent mother was higher among black and mixed skin colored women, but skin color was not associated to adolescent paternity. CONCLUSIONS There was a strong relation between adolescent maternity/paternity and socioeconomic conditions, which should be taken into consideration when delineating preventive actions in the field of public health. PMID:19142344

Education and trajectories of cognitive decline over 9 years in very old people: methods and risk analysis.

PubMed

Muniz-Terrera, Graciela; Matthews, Fiona; Dening, Tom; Huppert, Felicia A; Brayne, Carol

2009-05-01

the investigation of cognitive decline in the older population has been hampered by analytical considerations. Most studies of older people over prolonged periods suffer from loss to follow-up, yet this has seldom been investigated fully to date. Such considerations limit our understanding of how basic variables such as education can affect cognitive trajectories. we examined cognitive trajectories in a population-based cohort study in Cambridge, UK, of people aged 75 and over in whom multiple interviews were conducted over time. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Socio-demographic variables were measured, including educational level and social class. An age-based quadratic latent growth model was fitted to cognitive scores. The effect of socio-demographic variables was examined on all latent variables and the probability of death and dropout. at baseline, age, education, social class and mobility were associated with cognitive performance. Education and social class were not related to decline or its rate of change. In contrast, poor mobility was associated with lower cognitive performance, increased cognitive decline and increased rate of change of cognitive decline. Gender, age, mobility and cognitive ability predicted death and dropout contrary to much of the current literature, education was not related to rate of cognitive decline or change in this rate as measured by MMSE. Higher levels of education do not appear to protect against cognitive decline, though if the MMSE is used in the diagnostic process, individuals with less education may be diagnosed as having dementia somewhat earlier.

Demographic, socio-economic, and cultural factors affecting fertility differentials in Nepal.

PubMed

Adhikari, Ramesh

2010-04-28

Traditionally Nepalese society favors high fertility. Children are a symbol of well-being both socially and economically. Although fertility has been decreasing in Nepal since 1981, it is still high compared to many other developing countries. This paper is an attempt to examine the demographic, socio-economic, and cultural factors for fertility differentials in Nepal. This paper has used data from the Nepal Demographic and Health Survey (NDHS 2006). The analysis is confined to ever married women of reproductive age (8,644). Both bivariate and multivariate analyses have been performed to describe the fertility differentials. The bivariate analysis (one-way ANOVA) was applied to examine the association between children ever born and women's demographic, socio-economic, and cultural characteristics. Besides bivariate analysis, the net effect of each independent variable on the dependent variable after controlling for the effect of other predictors has also been measured through multivariate analysis (multiple linear regressions). The mean numbers of children ever born (CEB) among married Nepali women of reproductive age and among women aged 40-49 were three and five children, respectively. There are considerable differentials in the average number of children ever born according to women's demographic, socio-economic, and cultural settings. Regression analysis revealed that age at first marriage, perceived ideal number of children, place of residence, literacy status, religion, mass media exposure, use of family planning methods, household headship, and experience of child death were the most important variables that explained the variance in fertility. Women who considered a higher number of children as ideal (beta = 0.03; p < 0.001), those who resided in rural areas (beta = 0.02; p < 0.05), Muslim women (beta = 0.07; p < 0.001), those who had ever used family planning methods (beta = 0.08; p < 0.001), and those who had a child-death experience (beta = 0.31; p < 0.001) were more likely to have a higher number of CEB compared to their counterparts. On the other hand, those who married at a later age (beta = -0.15; p < 0.001), were literate (beta = -0.05; p < 0.001), were exposed to both (radio/TV) mass media (beta = -0.05; p < 0.001), were richest (beta = -0.12; p < 0.001), and were from female-headed households (beta = -0.02; p < 0.05) had a lower number of children ever born than their counterparts. The average number of children ever born is high among women in Nepal. There are many contributing factors for the high fertility, among which are age at first marriage, perceived ideal number of children, literacy status, mass media exposure, wealth status, and child-death experience by mothers. All of these were strong predictors for CEB. It can be concluded that programs should aim to reduce fertility rates by focusing on these identified factors so that fertility as well as infant and maternal mortality and morbidity will be decreased and the overall well-being of the family maintained and enhanced.

Four Transgenerational Demographic Performance of Moina macrocopa Exposed to Chronic Levels of Cadmium.

PubMed

Gama-Flores, José Luis; Huidobro-Salas, María Elena; Sarma, S S S; Nandini, S

2017-01-01

In this study, we quantified intergenerational, demographic variability of Moina macrocopa subjected to cadmium stress. Exposure of M macrocopa to cadmium (0.2, 0.3, and 0.4 mg/L as CdCl 2 ) through 4 consecutive generations revealed changes in demographic responses not only in survivorship variables but also in reproductive parameters. Long-term demographic responses varied differently, depending on the demographic trait and the concentration of heavy metal in the medium. With the exception of generation time, all life history traits were significantly and adversely influenced due to increase in Cd concentrations. The average life span of M macrocopa varied up to 40% depending on Cd level and the generation of exposure. The highest gross reproductive rates were recorded in controls, while the lowest (∼30% less) were recorded at the highest Cd level. Survival-weighted net reproductive rates were reduced by nearly 50% due to Cd toxicity. The rate of population increase per day of M macrocopa was also significantly affected (∼25%) by Cd as compared to controls. This cladoceran showed a dose-response to Cd toxicity with a significance in both magnitude and frequency of offspring production.

Four Transgenerational Demographic Performance of Moina macrocopa Exposed to Chronic Levels of Cadmium

PubMed Central

Gama-Flores, José Luis; Huidobro-Salas, María Elena; Sarma, S.S.S.; Nandini, S.

2017-01-01

In this study, we quantified intergenerational, demographic variability of Moina macrocopa subjected to cadmium stress. Exposure of M macrocopa to cadmium (0.2, 0.3, and 0.4 mg/L as CdCl2) through 4 consecutive generations revealed changes in demographic responses not only in survivorship variables but also in reproductive parameters. Long-term demographic responses varied differently, depending on the demographic trait and the concentration of heavy metal in the medium. With the exception of generation time, all life history traits were significantly and adversely influenced due to increase in Cd concentrations. The average life span of M macrocopa varied up to 40% depending on Cd level and the generation of exposure. The highest gross reproductive rates were recorded in controls, while the lowest (∼30% less) were recorded at the highest Cd level. Survival-weighted net reproductive rates were reduced by nearly 50% due to Cd toxicity. The rate of population increase per day of M macrocopa was also significantly affected (∼25%) by Cd as compared to controls. This cladoceran showed a dose–response to Cd toxicity with a significance in both magnitude and frequency of offspring production. PMID:28835748

Demographic, maternal, and infant health correlates of post-partum depression in Jordan.

PubMed

Safadi, Reema R; Abushaikha, Lubna A; Ahmad, Muayyad M

2016-09-01

This cross-sectional correlational study examined post-partum depression and its relationship with demographic, maternal, and infant health problems in urban Jordanian women. Participants (n = 315) were selected from five maternal child healthcare centers and one major hospital in Amman, Jordan. Patient Health Questionnaire-9 was used to measure post-partum depression within 12 weeks of birth. A number of socio-demographic and health problems were examined for an association with post-partum depression. Results showed that 25% of post-partum women suffered moderate to severe depression and 50% of the sample had mild depression. None of the socio-demographic variables (age, education, employment, income) were significantly related to post-partum depression; however, two obstetric/infant variables (mode of birth and breastfeeding), were significantly associated with post-partum depression. There was a significant association between post-partum depression and 15 health problems of obstetric, gynecologic (i.e. episiotomy pain, infection), and general health conditions (i.e. fatigue, headache). Nurses and midwives need to emphasize post-partum depression screening, follow-up, and proper management of maternal and infant health factors predisposing to post-partum depression rather than merely focusing on women's inherent demographic factors. © 2015 Wiley Publishing Asia Pty Ltd.

Tooth brushing frequency in Mexican schoolchildren and associated socio-demographic, socioeconomic, and dental variables.

PubMed

Casanova-Rosado, Alejandro José; Medina-Solís, Carlo Eduardo; Casanova-Rosado, Juan Fernando; Vallejos-Sánchez, Ana Alicia; Minaya-Sánchez, Mirna; Mendoza-Rodríguez, Martha; Márquez-Rodríguez, Sonia; Maupomé, Gerardo

2014-06-07

Tooth brushing (with fluoridated toothpaste) is the most cost-effective intervention in dentistry and it is widely recommended to preserve good oral health. We aimed to determine the frequency of tooth brushing and the variables associated with this practice in schoolchildren living in southeast Mexico. A cross-sectional study was carried out in 1644 schoolchildren, 6 to 13 years old. Questionnaires with socio-demographic, socioeconomic, and dental variables were administered to mothers/guardians of children. The dependent variable was the frequency of tooth brushing, which was categorized as 0 = tooth brushing less than once a day and 1 = tooth brushing at least once a day. A logistic regression model was used to evaluate the final results. Mean age was 9.06±2.02 years and 49.1% were girls. The prevalence of tooth brushing at least once a day was 49.8%. In the multivariate model, characteristics related to tooth brushing frequency (p<0.05) were: older age (OR=1.11), being female (OR=1.64), having a larger family (OR=0.87), having had a visit to a dentist during the year preceding the study (OR=1.37), and having had fluoride applications by a professional (OR=1.39). The results suggested that different variables (demographic, socioeconomic and dental) are associated with the frequency of tooth brushing. Family size (proxy variable for socioeconomic status) may indicate certain oral health inequalities in this population.

Effect size for the main cognitive function determinants in a large cross-sectional study.

PubMed

Mura, T; Amieva, H; Goldberg, M; Dartigues, J-F; Ankri, J; Zins, M; Berr, C

2016-11-01

The aim of our study was to examine the effect sizes of different cognitive function determinants in middle and early old age. Cognitive functions were assessed in 11 711 volunteers (45 to 75 years old), included in the French CONSTANCES cohort between January 2012 and May 2014, using the free and cued selective reminding test (FCSRT), verbal fluency tasks, digit-symbol substitution test (DSST) and trail making test (TMT), parts A and B. The effect sizes of socio-demographic (age, sex, education), lifestyle (alcohol, tobacco, physical activity), cardiovascular (diabetes, blood pressure) and psychological (depressive symptomatology) variables were computed as omega-squared coefficients (ω 2 ; part of the variation of a neuropsychological score that is independently explained by a given variable). These sets of variables explained from R 2 = 10% (semantic fluency) to R 2 = 26% (DSST) of the total variance. In all tests, socio-demographic variables accounted for the greatest part of the explained variance. Age explained from ω 2 = 0.5% (semantic fluency) to ω 2 = 7.5% (DSST) of the total score variance, gender from ω 2 = 5.2% (FCSRT) to a negligible part (semantic fluency or TMT) and education from ω 2 = 7.2% (DSST) to ω 2 = 1.4% (TMT-A). Behavioral, cardiovascular and psychological variables only slightly influenced the cognitive test results (all ω 2 < 0.8%, most ω 2 < 0.1%). Socio-demographic variables (age, gender and education) are the main variables associated with cognitive performance variations between 45 and 75 years of age in the general population. © 2016 EAN.

Socio-demographic, health, and tinnitus related variables affecting tinnitus severity.

PubMed

Hoekstra, Carlijn E L; Wesdorp, Francina M; van Zanten, Gijsbert A

2014-01-01

Tinnitus is a highly prevalent symptom with potential severe morbidity. Fortunately, only a small proportion of the population experience problems due to their tinnitus in such a degree that it adversely affects their quality of life (clinically significant tinnitus). It is not known why these individuals develop more burden from tinnitus. It seems likely that the severity of tinnitus can be influenced by different factors, such as socio-demographic or tinnitus characteristics or additional health complaints. It remains unclear from the current literature as to what are the main independent variables that have a bearing on tinnitus severity. This study addresses this problem by investigating variables previously described in the literature as well as additional variables. The aim of this study is to identify socio-demographic, health, and tinnitus variables that independently relate to tinnitus severity the most. This is a retrospective cohort study performed at the Tinnitus Care Group of the University Medical Center, Utrecht, in 309 consecutively seen chronic tinnitus patients. At this care group, patients are examined according to a structured diagnostic protocol, including history-taking by an otorhinolaryngologist and audiologist, physical examination, and audiometry. Based on results from previous research and theoretical considerations, a subset of data acquired through this diagnostic protocol were selected and used in this study. Univariate and multivariate correlations with tinnitus severity were investigated for 28 socio-demographic, health, and tinnitus variables. Tinnitus severity was measured with the Tinnitus Questionnaire (TQ) and the Tinnitus Handicap Inventory (THI). Eighteen variables related univariately with the TQ and 16 variables related univariately with the THI. Among these, 14 variables related univariately with both the TQ and the THI. Multivariate analyses showed three variables with an independent significant effect on both the TQ and the THI: percentage of tinnitus awareness during the day, self-reported depression and/or anxiety, and loudness on a Visual Analogue Scale. Three additional variables contributed independently significantly to the explained variance in either the TQ or the THI: level of education, somatic complaints, and tinnitus variability in loudness and/or pitch on a Visual Analogue Scale. These variables were among the first not to reach significance on the other questionnaire. Tinnitus severity is shown to be strongly related to percentage of tinnitus awareness during the day, self-reported depression and/or anxiety, subjectively experienced loudness, level of education, existence of additional somatic complaints, and subjectively experienced variability in loudness and/or pitch. Further research is needed to investigate the causal relationship between these variables and tinnitus severity. This knowledge may contribute to a better recognition, follow-up, and/or counseling of more vulnerable patients.

Demographic risk factors of self-immolation: a case-control study.

PubMed

Ahmadi, Alireza; Mohammadi, Reza; Schwebel, David C; Khazaie, Habibolah; Yeganeh, Naser; Almasi, Afshin

2009-06-01

To investigate demographic risk factors for self-immolation patients. In a case-control study, 30 consecutive cases of deliberate self-inflicted burns admitted to the regional Burn centre (Imam Khomeini hospital in Kermanshah province, Iran) were compared with 30 controls who were selected from the community and matched by gender, age, and living area. All cases and controls were reviewed for demographic variables, including: age, gender, living area, family size, marital status, bearing and number of children, Body Mass Index (BMI), birth order, employment state, educational status, early school drop-out, and parent/guardian employment status. Two variables emerged as related to risk of self-immolation. Being the first or last child in family birth order was associated with increased risk of self-immolation. Moreover, among the married participants, having children was associated with decreased risk of self-immolation. The comparisons of other variables were not statistically significant. In multivariate analyses, none of the variables predicted risk for self-immolation. This study suggests that being the first or last child of a family might be a risk factor for self-immolation. For married persons, having children might serve as a protective factor from self-immolation. Other variables such as family size, marital status, number of children, BMI, employment state, educational status, early school drop-out, and parent/guardian employment status did not play a role as individually protective or risk factors for self-immolation.

Observational studies of patients in the emergency department: a comparison of 4 sampling methods.

PubMed

Valley, Morgan A; Heard, Kennon J; Ginde, Adit A; Lezotte, Dennis C; Lowenstein, Steven R

2012-08-01

We evaluate the ability of 4 sampling methods to generate representative samples of the emergency department (ED) population. We analyzed the electronic records of 21,662 consecutive patient visits at an urban, academic ED. From this population, we simulated different models of study recruitment in the ED by using 2 sample sizes (n=200 and n=400) and 4 sampling methods: true random, random 4-hour time blocks by exact sample size, random 4-hour time blocks by a predetermined number of blocks, and convenience or "business hours." For each method and sample size, we obtained 1,000 samples from the population. Using χ(2) tests, we measured the number of statistically significant differences between the sample and the population for 8 variables (age, sex, race/ethnicity, language, triage acuity, arrival mode, disposition, and payer source). Then, for each variable, method, and sample size, we compared the proportion of the 1,000 samples that differed from the overall ED population to the expected proportion (5%). Only the true random samples represented the population with respect to sex, race/ethnicity, triage acuity, mode of arrival, language, and payer source in at least 95% of the samples. Patient samples obtained using random 4-hour time blocks and business hours sampling systematically differed from the overall ED patient population for several important demographic and clinical variables. However, the magnitude of these differences was not large. Common sampling strategies selected for ED-based studies may affect parameter estimates for several representative population variables. However, the potential for bias for these variables appears small. Copyright © 2012. Published by Mosby, Inc.

Economic and Demographic Factors Impacting Placement of Students with Autism

ERIC Educational Resources Information Center

Kurth, Jennifer A.; Mastergeorge, Ann M.; Paschall, Katherine

2016-01-01

Educational placement of students with autism is often associated with child factors, such as IQ and communication skills. However, variability in placement patterns across states suggests that other factors are at play. This study used hierarchical cluster analysis techniques to identify demographic, economic, and educational covariates…

Sentiments, Attitudes, and Concerns about Inclusion: Early Years in Teacher Education Programs

ERIC Educational Resources Information Center

Cansiz, Mustafa; Cansiz, Nurcan

2018-01-01

This study aims to examine preservice teachers' sentiments toward students with special needs, attitudes, and concerns about inclusive education in terms of a number of demographic variables. These demographics included major area, grade level, gender, interaction with disabled people, training for inclusive education, self-confidence for teaching…

Background Variables, Levels of Aggregation, and Standardized Test Scores

ERIC Educational Resources Information Center

Paulson, Sharon E.; Marchant, Gregory J.

2009-01-01

This article examines the role of student demographic characteristics in standardized achievement test scores at both the individual level and aggregated at the state, district, school levels. For several data sets, the majority of the variance among states, districts, and schools was related to demographic characteristics. Where these background…

Adolescent Health in Hong Kong: Disturbing Socio-Demographic Correlates

ERIC Educational Resources Information Center

Kwan, Y. K.; Ip, W. C.

2009-01-01

Relationships between self-assessed health status and socio-demographic variables were examined among 4,502 Chinese adolescent secondary school students in Hong Kong, a modern society with traditional Chinese ethno-cultural origin. Health status was self-rated in four aspects: overall health, physical health, mental health, and health effects on…

Transferring from the Simulator to a Live Robotic Environment: The Effectiveness of Part-Task and Whole-Task Training

DTIC Science & Technology

2013-10-01

individual differences in abilities (spatial skills), related experience ( videogame experience), or demographic variables (age or gender) impact training or...demographic questionnaire collected basic information from each participant such as age, gender, education, and videogame experience. The Santa Barbara

Attitudes of Austrian veterinarians towards euthanasia in small animal practice: impacts of age and gender on views on euthanasia.

PubMed

Hartnack, Sonja; Springer, Svenja; Pittavino, Marta; Grimm, Herwig

2016-02-04

Euthanasia of pets has been described by veterinarians as "the best and the worst" of the profession. The most commonly mentioned ethical dilemmas veterinarians face in small animal practice are: limited treatment options due to financial constraints, euthanizing of healthy animals and owners wishing to continue treatment of terminally ill animals. The aim of the study was to gain insight into the attitudes of Austrian veterinarians towards euthanasia of small animals. This included assessing their agreement with euthanasia in exemplified case scenarios, potentially predicted by demographic variables (e.g. gender, age, working in small animal practice, employment, working in a team, numbers of performed euthanasia). Further describing the veterinarians' agreement with a number of different normative and descriptive statements, including coping strategies. A questionnaire with nine euthanasia scenarios, 26 normative and descriptive statements, and demographic data were sent to all members of the Austrian Chamber of Veterinary Surgeons (n = 2478). In total, 486 veterinarians answered sufficiently completely to enable analyses. Responses were first explored descriptively before being formally analysed using linear regression and additive Bayesian networks - a multivariate regression methodology - in order to identify joint relationships between the demographic variables, the statements and each of the nine euthanasia scenarios. Mutual dependencies between the demographic variables were found, i.e. female compared to male veterinarians worked mostly in small animal practice, and working mostly in small animal practice was linked to performing more euthanasia per month. Gender and age were found to be associated with views on euthanasia: female veterinarians and veterinarians having worked for less years were more likely to disagree with euthanasia in at least some of the convenience euthanasia scenarios. The number of veterinarians working together was found to be the variable with the highest number of links to other variables, demographic as well as ethical statements. This highlights the role of a team potentially providing support in stressful situations. The results are useful for a better understanding of coping strategies for veterinarians with moral stress due to euthanasia of small animals.

Factors that predict the use or non-use of virtual dissection by high school biology teachers

NASA Astrophysics Data System (ADS)

Cockerham, William

2001-07-01

With the advent of computers into scholastic classrooms, virtual dissection has become a potential educational tool in high school biology lab settings. Utilizing non-experimental survey research methodology, this study attempted to identify factors that may influence high school biology teachers to use or not to use a virtual dissection. A 75-item research survey instrument consisting of both demographic background and Likert style questions was completed by 215 high school members of the National Association of Biology Teachers. The survey responses provided data to answer the research questions concerning the relationship between the likelihood of a high school biology teacher using a virtual dissection and a number of independent variables from the following three categories: (a) demographics, (b) attitude and experience, and (c) resources and support. These data also allowed for the determination of a demographic profile of the sample population. The demographic profile showed the sample population of high school biology teachers to be two-thirds female, mature, highly educated and very experienced. Analysis of variance and Pearson product moment correlational statistics were used to determine if there was a relationship between high school biology teachers' likelihood to use a virtual dissection and the independent variables. None of the demographic or resource and support independent variables demonstrated a strong relationship to the dependent variable of teachers' likelihood to use a virtual dissection. Three of the attitude and experience independent variables showed a statistically significant (p < .05) relationship to teachers' likelihood to use a virtual dissection: attitude toward virtual dissection, previous use of a virtual dissection and intention to use a real animal dissection. These findings may indicate that teachers are using virtual dissection as a supplement rather than a substitute. It appears that those concerned with promoting virtual dissection in high school biology classrooms will have to develop simulations that are more compelling to the teachers. Additionally, if science teacher organizations want to reduce the controversy surrounding dissection, they may need to re-visit their positions on the importance of real animal dissection.

Intraindividual variability across cognitive domains: investigation of dispersion levels and performance profiles in older adults.

PubMed

Hilborn, Jennifer V; Strauss, Esther; Hultsch, David F; Hunter, Michael A

2009-05-01

A growing body of research suggests that substantial variability exists among cognitive abilities within individuals. This within-person variability across cognitive domains is termed dispersion. The present study investigated the relationship between aging and dispersion of cognitive functions both quantitatively (overall levels of dispersion) and qualitatively (patterns of dispersion) in a sample of 304 nondemented, older adults aged 64 to 92 years (M = 74.02). Quantitatively, higher levels of dispersion were observed in the old-old adults (aged 75-92 years) and those identified as having experienced cognitive decline, suggesting that dispersion level may serve as a marker of cognitive integrity. Qualitatively, three distinct dispersion profiles were identified through clustering methods, and these were found to be related to demographic, health, and performance characteristics of the individuals, suggesting that patterns of dispersion may be meaningful indicators of individual differences.

Prevalence, distribution and correlates of tobacco smoking and chewing in Nepal: a secondary data analysis of Nepal Demographic and Health Survey-2006

PubMed Central

2011-01-01

Background Nearly four-fifths of estimated 1.1 million smokers live in low or middle-income countries. We aimed to provide national estimates for Nepal on tobacco use prevalence, its distribution across demographic, socio-economic and spatial variables and correlates of tobacco use. Methods A secondary data analysis of 2006 Nepal Demographic and Health Survey (DHS) was done. A representative sample of 9,036 households was selected by two-stage stratified, probability proportional to size (PPS) technique. We constructed three outcome variables 'tobacco smoke', 'tobacco chewer' and 'any tobacco use' based on four questions about tobacco use that were asked in DHS questionnaires. Socio-economic, demographic and spatial predictor variables were used. We computed overall prevalence for 'tobacco smoking', 'tobacco chewing' and 'any tobacco use' i.e. point estimates of prevalence rates, 95% confidence intervals (CIs) after adjustment for strata and clustering at primary sampling unit (PSU) level. For correlates of tobacco use, we used multivariate analysis to calculate adjusted odds ratios (AORs) and their 95% CIs. A p-value < 0.05 was considered as significant. Results Total number of households, eligible women and men interviewed was 8707, 10793 and 4397 respectively. The overall prevalence for 'any tobacco use', 'tobacco smoking' and 'tobacco chewing' were 30.3% (95% CI 28.9, 31.7), 20.7% (95% CI 19.5, 22.0) and 14.6% (95% CI 13.5, 15.7) respectively. Prevalence among men was significantly higher than women for 'any tobacco use' (56.5% versus 19.6%), 'tobacco smoking' (32.8% versus 15.8%) and 'tobacco chewing' (38.0% versus 5.0%). By multivariate analysis, older adults, men, lesser educated and those with lower wealth quintiles were more likely to be using all forms of tobacco. Divorced, separated, and widowed were more likely to smoke (OR 1.49, 95% CI 1.14, 1.94) and chew tobacco (OR 1.36, 95% CI 0.97, 1.93) as compared to those who were currently married. Prevalence of 'tobacco chewing' was higher in eastern region (19.7%) and terai/plains (16.2%). 'Tobacco smoking' and 'any tobacco use' were higher in rural areas, mid-western and far western and mountainous areas. Conclusions Prevalence of tobacco use is considerably high among Nepalese people. Demographic and socioeconomic determinants and spatial distribution should be considered while planning tobacco control interventions. PMID:22185233

Socio-demographic factors and psychological distress in Indigenous and non-Indigenous Australian adults aged 18-64 years: analysis of national survey data

PubMed Central

2012-01-01

Background Indigenous Australians are known to be at greater risk of morbidity and mortality from mental health related conditions, but most available data relate to the use of mental health services, and little is known about other aspects of social and emotional wellbeing. Using the first available nationally representative data, we examined the prevalence and patterning of psychological distress among Indigenous Australian adults and compared these with corresponding data from the non-Indigenous population. Methods The analysis used weighted data on psychological distress, as measured by a modified Kessler Psychological Distress score (K5), and a range of socio-demographic measures for 5,417 Indigenous and 15,432 non-Indigenous adults aged 18-64 years from two nationally representative surveys. Very high psychological distress (VHPD) was defined as a K5 score ≥ 15 (possible range = 5-25). Results Indigenous adults were about three times more likely than non-Indigenous adults to be classified with VHPD: 14.5% (95% confidence interval (CI) 12.9-16.0%) versus 5.5% (95% CI 5.0-5.9%). After adjusting for age, most socio-demographic variables were significantly associated with VHPD in both populations, although the relative odds were generally larger among non-Indigenous people. Indigenous people in remote areas had a lower prevalence of VHPD than their non-remote counterparts, and only marital status, main language, and food insecurity were significantly associated with VHPD in remote areas. Conclusions Higher absolute levels of VHPD combined with smaller socio-demographic gradients in the Indigenous population suggest the importance of risk factors such as interpersonal racism, marginalization and dispossession, chronic stress and exposure to violence that are experienced by Indigenous Australians with common and/or cross-cutting effects across the socioeconomic spectrum. The lower prevalence of VHPD and lack of association with many socio-demographic variables in remote areas suggests either that the instrument may be less valid for Indigenous people living in remote areas or that living in an Indigenous majority environment (such as exists in most remote communities) may mitigate the risk of psychological distress to some degree. PMID:22296820

Contraceptive prescriptions for US servicewomen, 2008-2013.

PubMed

Witkop, Catherine T; Webber, Bryant J; Chu, Kasi M; Clark, Leslie L

2017-07-01

To determine the proportion and characteristics of US servicewomen who were prescribed contraception between 2008 and 2013 and to estimate the prevalence of contraceptive utilization among women who deployed during the surveillance period. This is a descriptive study of all servicewomen of child-bearing potential serving in the active component of the US armed forces at any time between 2008 and 2013. We estimated contraceptive utilization status using pharmacy, procedural and diagnostic codes as recorded in the Defense Medical Surveillance System and Pharmacy Data Transaction Service. Estimates of contraceptive utilization were compared by demographic and military variables, including deployment status. Poisson regression with robust error variance was used to estimate adjusted prevalence ratios and 95% confidence intervals. Among eligible servicewomen (N=375,847), 68.7% received at least one form of contraception during the surveillance period. Contraceptive methods included short acting only (55.6%), long-acting (11.9%), permanent (1.0%) and barrier methods (0.2%). An additional 8.2% received counseling services only without an associated procedure or prescription. After adjusting by several demographic variables, receipt of contraception was highest among women aged 25-29 years and lowest among those aged 17-19 and 45-49 years. Receipt of any contraception was similar across racial/ethnic groups, although Hispanic and black, non-Hispanic women were more likely to receive long-acting reversible contraception. Of those who deployed (N=131,597), 53.6% received contraception before or during their deployment, with 7.9% using long-acting contraception. US servicewomen utilize contraception at high levels, with few demographic disparities. Gaps still exist, especially among the youngest women and around the time of deployment. US servicewomen are prescribed contraception at high levels, but utilization is lower in the youngest servicewomen and around the time of deployment. Such data provide opportunities for development and evaluation of interventions designed to improve access to contraceptive services for all servicewomen and to reduce the rate of unintended pregnancy. Published by Elsevier Inc.

Ambient Ozone Concentrations Cause Increased Hospitalizations for Asthma in Children: An 18-Year Study in Southern California

PubMed Central

Moore, Kelly; Neugebauer, Romain; Lurmann, Fred; Hall, Jane; Brajer, Vic; Alcorn, Sianna; Tager, Ira

2008-01-01

Background Asthma is the most important chronic disease of childhood. The U.S. Environmental Protection Agency has concluded that children with asthma continue to be susceptible to ozone-associated adverse effects on their disease. Objectives This study was designed to evaluate time trends in associations between declining warm-season O3 concentrations and hospitalization for asthma in children. Methods We undertook an ecologic study of hospital discharges for asthma during the high O3 seasons in California’s South Coast Air Basin (SoCAB) in children who ranged in age from birth to 19 years from 1983 to 2000. We used standard association and causal statistical analysis methods. Hospital discharge data were obtained from the State of California; air pollution data were obtained from the California Air Resources Board, and demographic data from the 1980, 1990, and 2000 U.S. Census. SoCAB was divided into 195 spatial grids, and quarterly average O3, sulfurdioxide, particulate matter with aerodynamic diameter ≤ 10 μm, nitrogen dioxide, and carbon monoxide were assigned to each unit for 3-month periods along with demographic variables. Results O3 was the only pollutant associated with increased hospital admissions over the study period. Inclusion of a variety of demographic and weather variables accounted for all of the non-O3 temporal changes in hospitalizations. We found a time-independent, constant effect of ambient levels of O3 and quarterly hospital discharge rates for asthma. We estimate that the average effect of a 10-ppb mean increase in any given mean quarterly 1-hr maximum O3 over the 18-year median of 87.7 ppb was a 4.6% increase in the same quarterly outcome. Conclusions Our data indicate that at current levels of O3 experienced in Southern California, O3 contributes to an increased risk of hospitalization for children with asthma. PMID:18709165

Disentangling the role of environmental and human pressures on biological invasions across Europe

PubMed Central

Pyšek, Petr; Jarošík, Vojtěch; Hulme, Philip E.; Kühn, Ingolf; Wild, Jan; Arianoutsou, Margarita; Bacher, Sven; Chiron, Francois; Didžiulis, Viktoras; Essl, Franz; Genovesi, Piero; Gherardi, Francesca; Hejda, Martin; Kark, Salit; Lambdon, Philip W.; Desprez-Loustau, Marie-Laure; Nentwig, Wolfgang; Pergl, Jan; Poboljšaj, Katja; Rabitsch, Wolfgang; Roques, Alain; Roy, David B.; Shirley, Susan; Solarz, Wojciech; Vilà, Montserrat; Winter, Marten

2010-01-01

The accelerating rates of international trade, travel, and transport in the latter half of the twentieth century have led to the progressive mixing of biota from across the world and the number of species introduced to new regions continues to increase. The importance of biogeographic, climatic, economic, and demographic factors as drivers of this trend is increasingly being realized but as yet there is no consensus regarding their relative importance. Whereas little may be done to mitigate the effects of geography and climate on invasions, a wider range of options may exist to moderate the impacts of economic and demographic drivers. Here we use the most recent data available from Europe to partition between macroecological, economic, and demographic variables the variation in alien species richness of bryophytes, fungi, vascular plants, terrestrial insects, aquatic invertebrates, fish, amphibians, reptiles, birds, and mammals. Only national wealth and human population density were statistically significant predictors in the majority of models when analyzed jointly with climate, geography, and land cover. The economic and demographic variables reflect the intensity of human activities and integrate the effect of factors that directly determine the outcome of invasion such as propagule pressure, pathways of introduction, eutrophication, and the intensity of anthropogenic disturbance. The strong influence of economic and demographic variables on the levels of invasion by alien species demonstrates that future solutions to the problem of biological invasions at a national scale lie in mitigating the negative environmental consequences of human activities that generate wealth and by promoting more sustainable population growth. PMID:20534543

Under- treatment and under diagnosis of hypertension: a serious problem in the United Arab Emirates

PubMed Central

Abdulle, Abdishakur M; Nagelkerke, Nico JD; Abouchacra, Samra; Pathan, Javed Y; Adem, Abdu; Obineche, Enyioma N

2006-01-01

Background Hypertension, notably untreated or uncontrolled, is a major risk factor for cardiovascular diseases (CVD) morbidity and mortality. In countries in transition, little is known about the epidemiology of hypertension, and its biochemical correlates. This study was carried out in Al Ain, United Arab Emirates, to characterize self-reported (SR) normotensives and hypertensives in terms of actual hypertension status, demographic variables, CVD risk factors, treatment, and sequalae. Methods A sample, stratified by SR hypertensive status, of 349 SR hypertensives (Mean age ± SD; 50.8 ± 9.2 yrs; Male: 226) and 640 SR normotensives (42.9 ± 9.3 yrs, Male: 444) among nationals and expatriates was used. Hypertensives and normotensive subjects were recruited from various outpatient clinics and government organizations in Al-Ain city, United Arab Emirates (UAE) respectively. Anthropometric and demographic variables were measured by conventional methods. Results Both under-diagnosis of hypertension (33%) and under-treatment (76%) were common. Characteristics of undiagnosed hypertensives were intermediate between normotensives and SR hypertensives. Under-diagnosis of hypertension was more common among foreigners than among nationals. Risk factors for CVD were more prevalent among SR hypertensives. Obesity, lack of exercise and smoking were found as major risk factors for CVD among hypertensives in this population. Conclusion Hypertension, even severe, is commonly under-diagnosed and under-treated in the UAE. Preventive strategies, better diagnosis and proper treatment compliance should be emphasized to reduce incidence of CVD in this population. PMID:16753071

Discrepancies between self and observer ratings of depression. The relationship to demographic, clinical and personality variables.

PubMed

Enns, M W; Larsen, D K; Cox, B J

2000-10-01

The observer-rated Hamilton depression scale (HamD) and the self-report Beck Depression Inventory (BDI) are among the most commonly used rating scales for depression, and both have well demonstrated reliability and validity. However, many depressed subjects have discrepant scores on these two assessment methods. The present study evaluated the ability of demographic, clinical and personality factors to account for the discrepancies observed between BDI and HamD ratings. The study group consisted of 94 SCID-diagnosed outpatients with a current major depressive disorder. Subjects were rated with the 21-item HamD and completed the BDI and the NEO-Five Factor Inventory. Younger age, higher educational attainment, and depressive subtype (atypical, non-melancholic) were predictive of higher BDI scores relative to HamD observer ratings. In addition, high neuroticism, low extraversion and low agreeableness were associated with higher endorsement of depressive symptoms on the BDI relative to the HamD. In general, these predictive variables showed a greater ability to explain discrepancies between self and observer ratings of psychological symptoms of depression compared to somatic symptoms of depression. The study does not determine which aspects of neuroticism and extraversion contribute to the observed BDI/HamD discrepancies. Depression ratings obtained with the BDI and HamD are frequently discordant and a number of patient characteristics robustly predict the discrepancy between these two rating methods. The value of multi-modal assessment in the conduct of research on depressive disorders is re-affirmed.

Human Papilloma Virus in Head and Neck Squamous Cell Cancer

PubMed Central

Asvadi Kermani, I; Seifi, SH; Dolatkhah, R; Sakhinia, E; Dastgiri, S; Ebrahimi, A; Lotfy, A; Esmaeili, HA; G, Mohammadi; M, Naderpour; SH, Hajalipour; Haggi A, Asghari; M, Nadri

2012-01-01

Background Epidemiologic and molecular evidences have established a strong link between high risk types of Human Papilloma Virus and a subgroup of Head and Neck Squamous Cell Carcinomas (HNSCC). We evaluated the frequency of HPV positivity in HNSCC and its relationship to demographic and some risk factor variables in an open case- control study. Methods Fourteen recently diagnosed patients with squamous cell cancer of oropharynx, hypopharynx and larynx aged 18-50 years were examined from 2008-2010 in Tabriz, Iran. HPV DNA was extracted from paraffin-embedded blocks of each patient's sample for PCR evaluation. Saliva samples of 94 control cancer-free subjects were collected for DNA analysis. Multivariable logistic regression method was used to calculate odds ratio for case-control comparisons. Results High risk HPV was detected in 6(42.8%) patients, and 6(5.3%) control subjects which was statistically significant (p<0.0001). HPV-18 was the most frequent type both in the cases and controls. HPV-16 DNA was detected in two patients of the case group, but it was not detected in any of the controls. The relation between demographic and risk factor variables was not statistically significant. Conclusion HPV infection has a significant impact on HNSCC. Despite HPV-16 stronger impact, HPV-18 is more likely to cause malignant degeneration in such cancers amongst some communities. It is vital to introduce and conduct immunization schedules in health care systems to protect communities to some extent. PMID:25780535

Variables related to tobacco use among young adults: are there differences between males and females?

PubMed

Pederson, Linda L; Koval, John J; Chan, Stella S H; Zhang, Xiaohe

2007-02-01

We sought to determine the association of four categories (chunks) of variables: (1) demographic characteristics, (2) family and friends smoking and other drug use, (3) psychosocial factors and attitude, and (4) lifestyle factors to current smoking as compared to never smoking among Canadian young adults. A cohort of 1270 young adults, followed for 10 years, completed a self-administered questionnaire. In multivariable analyses, the best final model for both genders did not include the psychosocial and attitudinal categories, but did contain variables in the demographic, family and friends, and lifestyle categories. Interventions for reducing smoking among young adults may be similar for males and females, a conclusion that differs from conclusions based on findings from younger age groups.

Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research

PubMed Central

2017-01-01

Background Internet sources are becoming increasingly important in seeking health information, such that they may have a significant effect on health care decisions and outcomes. Hence, given the wide range of different sources of Web-based health information (WHI) from different organizations and individuals, it is important to understand how information seekers evaluate and select the sources that they use, and more specifically, how they assess their credibility and trustworthiness. Objective The aim of this study was to review empirical studies on trust and credibility in the use of WHI. The article seeks to present a profile of the research conducted on trust and credibility in WHI seeking, to identify the factors that impact judgments of trustworthiness and credibility, and to explore the role of demographic factors affecting trust formation. On this basis, it aimed to identify the gaps in current knowledge and to propose an agenda for future research. Methods A systematic literature review was conducted. Searches were conducted using a variety of combinations of the terms WHI, trust, credibility, and their variants in four multi-disciplinary and four health-oriented databases. Articles selected were published in English from 2000 onwards; this process generated 3827 unique records. After the application of the exclusion criteria, 73 were analyzed fully. Results Interest in this topic has persisted over the last 15 years, with articles being published in medicine, social science, and computer science and originating mostly from the United States and the United Kingdom. Documents in the final dataset fell into 3 categories: (1) those using trust or credibility as a dependent variable, (2) those using trust or credibility as an independent variable, and (3) studies of the demographic factors that influence the role of trust or credibility in WHI seeking. There is a consensus that website design, clear layout, interactive features, and the authority of the owner have a positive effect on trust or credibility, whereas advertising has a negative effect. With regard to content features, authority of the author, ease of use, and content have a positive effect on trust or credibility formation. Demographic factors influencing trust formation are age, gender, and perceived health status. Conclusions There is considerable scope for further research. This includes increased clarity of the interaction between the variables associated with health information seeking, increased consistency on the measurement of trust and credibility, a greater focus on specific WHI sources, and enhanced understanding of the impact of demographic variables on trust and credibility judgments. PMID:28630033

Demographic variables in coal miners’ safety attitude

NASA Astrophysics Data System (ADS)

Yin, Wen-wen; Wu, Xiang; Ci, Hui-Peng; Qin, Shu-Qi; Liu, Jia-Long

2017-03-01

To change unsafe behavior through adjusting people’s safety attitudes has become an important measure to prevent accidents. Demographic variables, as influential factors of safety attitude, are fundamental and essential for the research. This research does a questionnaire survey among coal mine industry workers, and makes variance analysis and correlation analysis of the results in light of age, length of working years, educational level and experiences of accidents. The results show that the coal miners’ age, length of working years and accident experiences correlate lowly with safety attitudes, and those older coal miners with longer working years have better safety attitude, as coal miners without experiences of accident do.However, educational level has nothing to do with the safety attitude. Therefore, during the process of safety management, coal miners with different demographic characteristics should be put more attention to.

[The users of centers for AIDS information and prevention in the Comunidad Valenciana, Spain: a study based on cluster analysis].

PubMed

González Aracil, J; Ruiz Pérez, I; Aviñó Rico, M J; Hernández Aguado, I

1999-01-01

To measure the usefulness of multiple correspondence analysis (MCA) and cluster analysis applied to the epidemiological research of HIV infection. The specific are to explore the relationships between the different variables that characterize the users of the AIDS Information and Prevention Center (CIPS) and to identify clusters of characteristics which in terms of the attendance to these centers, could be considered similar. The clinical history the CIPS in the Valencian region in Spain was used as data source. The target population target were intravenous drug users (IDUSs) attending these centers between 1987 and 1994 (n = 6211). Information about socio-demographic and HIV type I infection-related variables (drug use and sexual behaviour) was collected by means of a semistructured questionnaire. A MCA was carried out to obtain a group of quantitative factors that were used in a cluster analysis. A 44.8% HIV type I prevalence was found. Five factors were detected by MCA that explain 51.14% of the total variability, of which sex, age and the usual sexual partner were the variables best explained. Cluster analysis allowed to describe 5 different subgroups of CIPS users according to their socio-demographics characteristics, risk behaviours and serologic status. It is necessary to highlight the categories 1 and 2, which collect the serologic status and the most relevant characteristics of HIV infection. Category I contains users with a negative serology and characterized by being mainly single adolescent men, with a low educational level; they stated that they have no steady sexual partner, do not share syringes and have been intravenous drug users between 3 and 10 years. They mainly come from the city of Alicante. Category 2 contains mainly people that are HIV positive and older. They also share syringes and have been intravenous drug users for a longer time; they have a higher education level and most of them come from the city of Valencia. The proposed method of analysis was able to characterise the CIPS users, identifying those socio-demographic variables and risk behaviours that are more related to the serologic status. The applicability of these techniques to epidemiologic studies of HIV type I infection is discussed.

A Cross-sectional Study Assessing Predictors of Essential Medicines Prescribing Behavior Based on Information-motivation-behavioral Skills Model among County Hospitals in Anhui, China

PubMed Central

Zhao, Yun-Wu; Wu, Jing-Ya; Wang, Heng; Li, Nian-Nian; Bian, Cheng; Xu, Shu-Man; Li, Peng; Lu, Hua; Xu, Lei

2015-01-01

Background: The self-consciousness and practicality of preferentially prescribed essential medicines (EMs) are not high enough in county hospitals. The purposes of this study were to use the information-motivation-behavioral skills (IMB) model to identify the predictors of essential medicines prescribing behavior (EMPB) among doctors and to examine the association between demographic variables, IMB, and EMPB. Methods: A cross-sectional study was carried out to assess predictive relationships among demographic variables and IMB model variables using an anonymous questionnaire administered in nine county hospitals of Anhui province. A structural equation model was constructed for the IMB model to test the instruments using analysis of moment structures 17.0. Results: A total of 732 participants completed the survey. The average age of the participants was 37.7 ± 8.9 years old (range: 22–67 years old). The correct rate of information was 90.64%. The average scores of the motivation and behavioral skills were 45.46 ± 7.34 (hundred mark system: 75.77) and 19.92 ± 3.44 (hundred mark system: 79.68), respectively. Approximately half (50.8%) of respondents reported that the proportion of EM prescription was below 60%. The final revised model indicated a good fit to the data (χ2/df = 4.146, goodness of fit index = 0.948, comparative fit index = 0.938, root mean square error of approximation = 0.066). More work experience (β = 0.153, P < 0.001) and behavioral skills (β = 0.449, P < 0.001) predicted more EMPB. Higher income predicted less information (β = −0.197, P < 0.001) and motivation (β = −0.204, P < 0.001). Behavioral skills were positively predicted by information (β = 0.135, P < 0.001) and motivation (β = 0.742, P < 0.001). Conclusion: The present study predicted some factors of EMPB, and specified the relationships among the model variables. The utilization rate of EM was not high enough. Motivation and behavior skills were crucial factors affecting EMPB. The influence of demographic variables, such as income and work experience, on EMPB should be fully appreciated. Comprehensive intervention measures should be implemented from multiple perspectives. PMID:26521786

The impact of physical activity on cumulative cardiovascular disease risk factors among Malaysian adults.

PubMed

Rasiah, Rajah; Thangiah, Govindamal; Yusoff, Khalid; Manikam, Rishya; Chandrasekaran, Sankara Kumar; Mustafa, Rujhan; Bakar, Najmin Binti Abu

2015-12-16

Numerous studies have shown the importance of physical activity in reducing the morbidity and mortality rates caused by cardiovascular disease (CVD). However, most of these studies emphasise little on the cumulative effect of CVD risk factors. Hence, this study investigates the association between physical exercise and cumulative CVD risk factors among adults in three different age groups. Using a sample of 7276 respondents drawn from community centers, the REDISCOVER team gathered information on physical activity, CVD risk factors (obesity, diabetes, hypertension, hypercholesterolemia, tobacco use) and socioeconomic and demographic variables in Malaysia. Because the study required medical examination, a convenience sampling frame was preferred in which all volunteers were included in the study. Fasting blood samples and anthropometric (height, weight and more) measurements were collected by trained staffs. Socio-demographic and physical activity variables were recorded through questionnaires. A Chi-square test was performed to identify the bivariate association between the covariates (socioeconomic variables, demographic variables and physical activity) and outcome variable. The association between the main exposure, physical activity, and the outcome variable, cumulative CVD risk factors, was assessed using an ordinal logistic regression model, controlling for socioeconomic status and demographic influences in three different age groups, 35-49, 50-64 and 65 and above. The mean age of participants is 51.8 (SD = 9.4). Respondents in the age groups of 35-49 (aORmoderate = 0.12; 95 % CI: 0.02 - 0.53 ) and 65 and above (aORhigh = 0.58; 95 % CI: 0.24, 0.78) showed a statistically significant inverse relationship between physical activity and cumulative CVD risk factors. However, this relationship was not significant among respondents in the 50-64 age group suggesting the possible influence of other variables, such as stress and environment. The statistically significant results show a negative association between physical exercise and cumulative CVD risk factors. However, the lack of a significant relationship in the 50-64 age group suggests the need to include other considerations in future studies, such as stress and environment.

Inverse Association between Fruit and Vegetable Intake and BMI even after Controlling for Demographic, Socioeconomic and Lifestyle Factors

PubMed Central

Heo, Moonseong; Kim, Ryung S.; Wylie-Rosett, Judith; Allison, David B.; Heymsfield, Steve B.; Faith, Myles S.

2011-01-01

Objective To estimate fruit and vegetable (FV) intake levels of US adult population and evaluate the association between FV intake and BMI status after controlling for confounding demographic, socioeconomic and lifestyle factors. We also sought to identify moderating factors. Methods We used 2007 Behavior Risk Factors Surveillance System (N > 400,000) data. FV intake was dichotomized as ≥5 servings (FV5+) versus <5 servings/day. BMI status was categorized as normal, overweight, and obese. Identification of moderators was performed by testing interactions between BMI status and other variables using bivariate analyses followed by multiple logistic regression analysis incorporating complex survey sampling design features. Results Only 24.6% of US adults consumed ≥5 servings per day and less than 4% consumed 9 or more servings. Overweight (% FV5+ = 23.9%) and obese (21.9%) groups consumed significantly less FV than the normal-weight (27.4%) group (p < 0.0001). This inverse association remained significant even after controlling for potential confounding factors. Multivariate analysis identified five significant moderators (p < 0.0001) after controlling for all evaluated variables: race, sex, smoking status, health coverage, and physical activity. Notably, physically inactive obese males tended to consume the least FV (% FV5+ = 14.7%). Conclusion Current US population FV intake level is below recommended levels. The inverse association between FV intake and obesity was significant and was moderated by demographic, socioeconomic status, and lifestyle factors. These factors should be considered when developing policies and interventions to increase FV intake. PMID:22248995

Emotional exhaustion and workload predict clinician-rated and objective patient safety

PubMed Central

Welp, Annalena; Meier, Laurenz L.; Manser, Tanja

2015-01-01

Aims: To investigate the role of clinician burnout, demographic, and organizational characteristics in predicting subjective and objective indicators of patient safety. Background: Maintaining clinician health and ensuring safe patient care are important goals for hospitals. While these goals are not independent from each other, the interplay between clinician psychological health, demographic and organizational variables, and objective patient safety indicators is poorly understood. The present study addresses this gap. Method: Participants were 1425 physicians and nurses working in intensive care. Regression analysis (multilevel) was used to investigate the effect of burnout as an indicator of psychological health, demographic (e.g., professional role and experience) and organizational (e.g., workload, predictability) characteristics on standardized mortality ratios, length of stay and clinician-rated patient safety. Results: Clinician-rated patient safety was associated with burnout, trainee status, and professional role. Mortality was predicted by emotional exhaustion. Length of stay was predicted by workload. Contrary to our expectations, burnout did not predict length of stay, and workload and predictability did not predict standardized mortality ratios. Conclusion: At least in the short-term, clinicians seem to be able to maintain safety despite high workload and low predictability. Nevertheless, burnout poses a safety risk. Subjectively, burnt-out clinicians rated safety lower, and objectively, units with high emotional exhaustion had higher standardized mortality ratios. In summary, our results indicate that clinician psychological health and patient safety could be managed simultaneously. Further research needs to establish causal relationships between these variables and support to the development of managerial guidelines to ensure clinicians’ psychological health and patients’ safety. PMID:25657627

Chronic disease prevalence and associations in a cohort of Australian men: The Florey Adelaide Male Ageing Study (FAMAS)

PubMed Central

Martin, Sean A; Haren, Matthew T; Taylor, Anne W; Middleton, Sue M; Wittert, Gary A

2008-01-01

Background An increasing proportion of Australia's chronic disease burden is carried by the ageing male. The aim of this study was to determine the prevalence of asthma, cancer, diabetes, angina and musculoskeletal conditions and their relationship to behavioural and socio-demographic factors in a cohort of Australian men. Methods Self-reports of disease status were obtained from baseline clinic visits (August 2002 – July 2003 & July 2004 – May 2005) from 1195 randomly selected men, aged 35–80 years and living in the north-west regions of Adelaide. Initially, relative risks were assessed by regression against selected variables for each outcome. Where age-independent associations were observed with the relevant chronic disease, independent variables were fitted to customized multiadjusted models. Results The prevalence of all conditions was moderately higher in comparison to national data for age-matched men. In particular, there was an unusually high rate of men with cancer. Multiadjusted analyses revealed age as a predictor of chronic conditions (type 2 diabetes mellitus, angina, cancer & osteoarthritis). A number of socio-demographic factors, independent of age, were associated with chronic disease, including: low income status (diabetes), separation/divorce (asthma), unemployment (cancer), high waist circumference (diabetes), elevated cholesterol (angina) and a family history of obesity (angina). Conclusion Socio-demographic factors interact to determine disease status in this broadly representative group of Australian men. In addition to obesity and a positive personal and family history of disease, men who are socially disadvantaged (low income, unemployed, separated) should be specifically targeted by public health initiatives. PMID:18664294

Determinants of physical activity in America: a first characterization of physical activity profile using the National Health and Nutrition Examination Survey (NHANES).

PubMed

Kao, Ming-Chih Jeffrey; Jarosz, Renata; Goldin, Michael; Patel, Amy; Smuck, Matthew

2014-10-01

To develop and implement methodologies for characterizing accelerometry-derived patterns of physical activity (PA) in the United States in relation to demographics, anthropometrics, behaviors, and comorbidities using the National Health and Nutrition Examination Survey (NHANES) dataset. Retrospective analysis of nationally representative database. Computer-generated modeling in silico. A total of 6329 adults in the United States from the NHANES 2003-2004 database. To discover subtle multivariate signal in the dynamic and noisy accelerometry data, we developed a novel approach, termed discretized multiple adaptive regression and implemented the algorithm in SAS 9.2 (SAS Institute, Cary, NC). Demographic, anthropometric, comorbidity, and behavioral variables. The intensity of PA decreased with both increased age and increased body mass index. Both greater education and greater income correlate with increased activity over short durations and reduced activity intensity over long durations. Numerous predictors demonstrated effects within activity ranges that may be masked by use of the standard activity intensity intervals. These include age, one of the most robust variables, where we discovered decreasing activities inside the moderate activity range. It also includes gender, where women compared with men have increased proportions of active times up to the center of light activity range, and income greater than $45,000, where a complex effect is seen with little correspondence to existing cut-points. The results presented in this study suggest that the method of multiple regression and heat map visualization can generate insights otherwise hidden in large datasets such as NHANES. A review of the provided heat maps reveals the trends discussed previously involving demographic, anthropometric, comorbidity, and behavioral variables. It also demonstrates the power of accelerometry to expose alterations in PA. Ultimately, this study provides a US population-based norm to use in future studies of PA. Copyright © 2014 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

When a gold standard isn't so golden: Lack of prediction of subjective sleep quality from sleep polysomnography

PubMed Central

Kaplan, Katherine A.; Hirshman, Jason; Hernandez, Beatriz; Stefanick, Marcia L.; Hoffman, Andrew R.; Redline, Susan; Ancoli-Israel, Sonia; Stone, Katie; Friedman, Leah; Zeitzer, Jamie M.

2016-01-01

Background Reports of subjective sleep quality are frequently collected in research and clinical practice. It is unclear, however, how well polysomnographic measures of sleep correlate with subjective reports of prior-night sleep quality in elderly men and women. Furthermore, the relative importance of various polysomnographic, demographic and clinical characteristics in predicting subjective sleep quality is not known. We sought to determine the correlates of subjective sleep quality in in older adults using more recently developed machine learning algorithms that are suitable for selecting and ranking important variables. Methods Community-dwelling older men (n=1024) and women (n=459), a subset of those participating in the Osteoporotic Fractures in Men study and the Study of Osteoporotic Fractures study, respectively, completed a single night of at-home polysomnographic recording of sleep followed by a set of morning questions concerning the prior night's sleep quality. Questionnaires concerning demographics and psychological characteristics were also collected prior to the overnight recording and entered into multivariable models. Two machine learning algorithms, lasso penalized regression and random forests, determined variable selection and the ordering of variable importance separately for men and women. Results Thirty-eight sleep, demographic and clinical correlates of sleep quality were considered. Together, these multivariable models explained only 11-17% of the variance in predicting subjective sleep quality. Objective sleep efficiency emerged as the strongest correlate of subjective sleep quality across all models, and across both sexes. Greater total sleep time and sleep stage transitions were also significant objective correlates of subjective sleep quality. The amount of slow wave sleep obtained was not determined to be important. Conclusions Overall, the commonly obtained measures of polysomnographically-defined sleep contributed little to subjective ratings of prior-night sleep quality. Though they explained relatively little of the variance, sleep efficiency, total sleep time and sleep stage transitions were among the most important objective correlates. PMID:27889439

Myths and misconceptions about tuberculosis transmission in Ghana

PubMed Central

2013-01-01

Background Myths and misconceptions about TB can serve as a barrier to efforts at reducing stigmatisation of people infected and affected by the disease. Understanding such drivers of myths and misconceptions is important for improving information, education and communication (IEC) efforts of national control and preventive interventions. This study therefore assesses the influence of interaction of spatial, socioeconomic and demographic characteristics on myths and misconceptions. Methods Data was drawn from male (N = 4,546) and female (N = 4,916) files of the 2008 Ghana Demographic and Health Survey. A myth and misconception variable was created from five-related constructs with internal consistency score of r = 0. 8802 for males (inter-item correlation: 0.5951) and for females, r = 0. 0.9312 (inter-item correlation: 0.7303). The Pearson Chi-square was used to test the bivariate relationship between the independent variables and the dependent variable. Logistic regression was subsequently used to explore the factors determining myths and misconceptions of TB transmission. Results Majority of Ghanaians (males: 66.75%; females: 66.13%) did not hold myths and misconceptions about TB transmission. Females resident in the Upper East (aOR = 0.31, CI = 0.17-0.55) and Upper West (aOR = 0.41, CI = 0.24-0.69) and males resident in the Northern (aOR = 0.23, CI = 0.13-0.39) and the Greater Accra (aOR = 0.25, CI = 0.16-0.39) regions were independently associated with no misconceptions about TB transmission. Significant differences were also found in education, ethnicity and age. Conclusion That spatial and other socioeconomic difference exists in myths and misconceptions suggest the need for spatial, socioeconomic and demographic segmentations in IEC on TB. This holds potentials for reaching out to those who are in critical need of information and education on the transmission processes of TB. PMID:24028419

The Role of Positive Alcohol Expectancies in Underage Binge Drinking Among College Students

PubMed Central

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

Analysing child mortality in Nigeria with geoadditive discrete-time survival models.

PubMed

Adebayo, Samson B; Fahrmeir, Ludwig

2005-03-15

Child mortality reflects a country's level of socio-economic development and quality of life. In developing countries, mortality rates are not only influenced by socio-economic, demographic and health variables but they also vary considerably across regions and districts. In this paper, we analysed child mortality in Nigeria with flexible geoadditive discrete-time survival models. This class of models allows us to measure small-area district-specific spatial effects simultaneously with possibly non-linear or time-varying effects of other factors. Inference is fully Bayesian and uses computationally efficient Markov chain Monte Carlo (MCMC) simulation techniques. The application is based on the 1999 Nigeria Demographic and Health Survey. Our method assesses effects at a high level of temporal and spatial resolution not available with traditional parametric models, and the results provide some evidence on how to reduce child mortality by improving socio-economic and public health conditions. Copyright (c) 2004 John Wiley & Sons, Ltd.

Demographics and the correlation between irrational parenthood cognitions and marital relationship quality in infertile women in Zanjan province in 2016.

PubMed

Safaei Nezhad, Arezoo; Vakili, Mohammad Masoud; Ebrahimi, Loghman; Kharaghani, Roghieh

2018-06-11

The study determined the correlation between Irrational Parenthood Cognitions (IPC) and marital quality by demographic variables in infertile women. A correlational study with a census method was conducted on all primary infertile women, who had a file in Zanjan, Iran. A 47% significant positive correlation was showed between IPC and marital quality (p < 0.001). The highest correlation was observed in the subsets of women aged 31-40 years, with high level of education, those at third socioeconomic classes, those with less than 10 years of married life, and women whose husband had no children from their previous marriage (all ps < 0.05). Providing counseling services to women with primary infertility, especially high-risk women may help to reduce IPC and to improve marital quality. © 2018 Wiley Periodicals, Inc.

Predictive factors of difficulty in lower third molar extraction: A prospective cohort study

PubMed Central

Alvira-González, Joaquín; Valmaseda-Castellón, Eduard; Quesada-Gómez, Carmen; Gay-Escoda, Cosme

2017-01-01

Background Several publications have measured the difficulty of third molar removal, trying to establish the main risk factors, however several important preoperative and intraoperative variables are overlooked. Material and Methods A prospective cohort study comprising a total of 130 consecutive lower third molar extractions was performed. The outcome variables used to measure the difficulty of the extraction were operation time and a 100mm visual analogue scale filled by the surgeon at the end of the surgical procedure. The predictors were divided into 4 different groups (demographic, anatomic, radiographic and operative variables). A descriptive, bivariate and multivariate analysis of the data was performed. Results Patients’ weight, the presence of bulbous roots, the need to perform crown and root sectioning of the lower third molar and Pell and Gregory 123 classification significantly influenced both outcome variables (p< 0.05). Conclusions Certain anatomical, radiological and operative variables appear to be important factors in the assessment of surgical difficulty in the extraction of lower third molars. Key words:Third molar, surgical extraction, surgical difficulty. PMID:27918736

Purposes of Internet use and problematic Internet use among Turkish high school students.

PubMed

Demirer, Veysel; Bozoglan, Bahadir

2016-12-01

After the emergence of the Internet, the sudden increase in its use soon attracted attention to this phenomenon. Studies have shown that there is a relationship between problematic Internet use (PIU) and the purposes of Internet use. The aims of this study are to examine the purposes of Internet use among Turkish high school students according to their gender, frequency of Internet use (FIU), grade point average (GPA) and family income (F-income), and to investigate whether all these variables predict PIU. The participants in the study were 375 high school students (185 girls and 190 boys), and verbal consent was obtained from the subjects before application. The participants' ages ranged between 14 and 18 (Mean = 15.6, SD = 1.26). One-way analysis of variance was used to identify the purposes of Internet use in terms of demographic variables. Also, hierarchical multiple regression analyses were conducted to explore whether demographic variables and purposes of Internet use affected PIU. Finally, the results demonstrate that male gender, high FIU, low GPA, and high levels of F-income correlate significantly with PIU. Also, the social, leisure and virtual-emotional purposes of Internet use, besides demographic variables, were significantly correlated with PIU. © 2015 Wiley Publishing Asia Pty Ltd.

An Analysis of the Variables Associated with Alumni Giving and Employee Giving to a Mid-Sized Southeastern University

ERIC Educational Resources Information Center

Loveday, Christine Hawk

2012-01-01

The purpose of this study was to determine if there was a relationship among selected demographic variables and donor or nondonor status of alumni and employees at the participating university. The variables involving alumni were gender, highest degree earned, and college of major study. The variables regarding employees were gender and position.…

Space-temporal analysis of Chagas disease and its environmental and demographic risk factors in the municipality of Barcarena, Pará, Brazil.

PubMed

Sousa, Alcinês da Silva; Palácios, Vera Regina da Cunha Menezes; Miranda, Claúdia do Socorro; Costa, Rodrigo Junior Farias da; Catete, Clistenes Pamplona; Chagasteles, Eugenia Janis; Pereira, Alba Lucia Ribeiro Raithy; Gonçalves, Nelson Veiga

2017-01-01

Chagas disease is a parasitosis considered a serious problem of public health. In the municipality of Barcarena, Pará, from 2007 to 2014, occurred the highest prevalence of this disease in Brazil. To analyze the disease distribution related to epidemiological, environmental and demographic variables, in the area and period of the study. Epidemiological and demographic data of Barcarena Health Department and satellite images from the National Institute For Space Research (INPE) were used. The deforestation data were obtained through satellite image classification, using artificial neural network. The statistical significance was done with the χ2 test, and the spatial dependence tests among the variables were done using Kernel and Moran techniques. The epidemiological curve indicated a disease seasonal pattern. The major percentage of the cases were in male, brown skin color, adult, illiterate, urban areas and with probable oral contamination. It was confirmed the spatial dependence of the disease cases with the different types of deforestation identified in the municipality, as well as agglomerations of cases in urban and rural areas. Discussion: The disease distribution did not occur homogeneously, possibly due to the municipality demographic dynamics, with intense migratory flows that generates the deforestation. Different relationships among the variables studied and the occurrence of the disease in the municipality were observed. The technologies used were satisfactory to construct the disease epidemiological scenarios.

Genetic variation facilitates seedling establishment but not population growth rate of a perennial invader

PubMed Central

Li, Shou-Li; Vasemägi, Anti; Ramula, Satu

2016-01-01

Background and Aims Assessing the demographic consequences of genetic variation is fundamental to invasion biology. However, genetic and demographic approaches are rarely combined to explore the effects of genetic variation on invasive populations in natural environments. This study combined population genetics, demographic data and a greenhouse experiment to investigate the consequences of genetic variation for the population fitness of the perennial, invasive herb Lupinus polyphyllus. Methods Genetic and demographic data were collected from 37 L. polyphyllus populations representing different latitudes in Finland, and genetic variation was characterized based on 13 microsatellite loci. Associations between genetic variation and population size, population density, latitude and habitat were investigated. Genetic variation was then explored in relation to four fitness components (establishment, survival, growth, fecundity) measured at the population level, and the long-term population growth rate (λ). For a subset of populations genetic variation was also examined in relation to the temporal variability of λ. A further assessment was made of the role of natural selection in the observed variation of certain fitness components among populations under greenhouse conditions. Key Results It was found that genetic variation correlated positively with population size, particularly at higher latitudes, and differed among habitat types. Average seedling establishment per population increased with genetic variation in the field, but not under greenhouse conditions. Quantitative genetic divergence (QST) based on seedling establishment in the greenhouse was smaller than allelic genetic divergence (F′ST), indicating that unifying selection has a prominent role in this fitness component. Genetic variation was not associated with average survival, growth or fecundity measured at the population level, λ or its variability. Conclusions The study suggests that although genetic variation may facilitate plant invasions by increasing seedling establishment, it may not necessarily affect the long-term population growth rate. Therefore, established invasions may be able to grow equally well regardless of their genetic diversity. PMID:26420202

Community demographics and the propensity to report animal cruelty.

PubMed

Taylor, Nicola; Signal, Tania D

2006-01-01

The last decade has seen an increased awareness concerning links between violence to nonhuman animals and violence to humans. This has resulted in a number of cross-reporting initiatives between family service providers and animal welfare organizations. The success of these initiatives rests on individuals being willing to report such violence. Thus, there is a need to determine which variables influence an individual's willingness to report deliberate animal cruelty and abuse. The aim of this study was to examine demographic and attitudinal variables to ascertain their impact on propensity to report deliberate animal harm. A telephone questionnaire resulted in 1,208 valid responses from members of the general community. Results showed a number of variables that affected the propensity to report: gender, occupation, and acknowledgment of the link between family violence and deliberate animal harm. This article discusses these variables and their implications.

Big five personality and residential mobility: a state-level analysis of the USA.

PubMed

McCann, Stewart J H

2015-01-01

Relations of the state-aggregated Big Five personality scores of 619,397 residents to four 2005 state-level residential mobility criteria were examined with the 50 states as cases. Multiple regression controlling for five state demographic variables showed (a) higher state neuroticism was strongly associated with lower mobility, lower same-county mobility, and lower between-county mobility; (b) higher state extraversion was associated with lower mobility and lower same-county mobility, but only with neuroticism and/or conscientiousness controlled; and (c) conscientiousness was related to same-residence, same-county, and different-county mobility, but only without demographic variables controlled. Discussion is grounded in the dangers of cross-level speculation and the potential of a basic assumption of geographical psychology that an area's aggregate position on a dispositional variable is associated there with behavioral and psychological tendencies related to that variable.

Daily Hassles, Mother-child Relationship, and Behavior Problems in Muslim Arab American Adolescents in Immigrant Families

PubMed Central

Aroian, Karen J.; Templin, Thomas N.; Hough, Edythe S.

2016-01-01

Objective This longitudinal study examines reciprocal and dynamic relations among daily hassles, the mother-child relationship, and adolescent behavior problems and whether the relations differed by socio-demographic variables. Methods Three waves of data about adolescent daily hassles, quality of the mother-child relationship, and adolescent behavior problems were collected from 454 Arab Muslim adolescents and their immigrant mothers over a three-year period. Cross-lagged structural equation modeling (SEM) was used to examine reciprocal relations among the study variables. Results Relations between the mother-child relationship and adolescent behavior problems were reciprocal, with a poor mother-child relationship contributing to greater behavior problems and behavior problems contributing to a decline in the quality of the mother-child relationship. Relations involving daily hassles were unidirectional: A better mother-child relationship contributed to fewer daily hassles and behavior problems contributed to more daily hassles but daily hassles did not contribute to more behavior problems. Father’s education was the only socio-demographic variable that was significant: Adolescents with more highly educated fathers had a better mother-child relationship and fewer behavioral problems. Conclusions Findings suggest that Arab American Muslim adolescents with behavior problems are differentially exposed to daily hassles but daily hassles are not the best point of intervention. Bidirectional relations between the mother-child relationship and adolescent behavior problems suggest intervening to improve the mother-child relationship and manage symptoms of adolescent behavior problems. PMID:27055003

Influence of biological, experiential and psychological factors in wine preference segmentation

PubMed Central

Pickering, Gary J; Hayes, John E

2016-01-01

Background and Aims We sought to determine the influence of selected biological, experiential and psychological variables on self-reported liking and consumption of wine in a sample of 329 Ontario wine consumers. Methods and Results Cluster analysis revealed three distinct groups, representing plausible market segments: wine lovers; dry table wine likers/sweet dislikers; and sweet wine likers/fortified dislikers. These groups differ in level of wine expertise, wine adventurousness, alcohol intake, bitterness from 6-n-propylthiouracil (PROP), and several demographic variables. PROP hypo-tasters (n=113) and PROP hyper-tasters (n=112) differed in liking scores for nine of the 11 wine styles [ANCOVA, P(F)<0.05]. When wines were grouped according to their dominant sensory properties (dry, sweet, carbonation and heat), liking scores for PROP hyper-tasters were higher than those of PROP hypo-tasters for all classes. Scores also varied with age, expertise and gender for some products. Effect sizes (eta-squared) were generally greatest for age, and those for PROP responsiveness were of similar magnitude as those for gender. As expected, wine consumption frequency was higher for men and experts, and increased with age. Conclusions Age is the most robust and consistent driver of wine liking and intake of the variables examined. Taste phenotype also contributes significantly to variation in wine liking. Significance of the Study Ontario wine consumers fall into one of three wine liking clusters, which differ in experiential, biological, psychological and demographic features that can be targeted through branding and marketing strategies. PMID:28579910

Leadership and Small Firm Performance: The Moderating Effects of Demographic Characteristics

ERIC Educational Resources Information Center

Flanigan, Rod L.; Bishop, Jacob L.; Brachle, Ben J.; Winn, Bradley A.

2017-01-01

The present study builds on extant leadership literature by examining the role demographic variables (including age, tenure as a leader at the current company, experience in the industry, and level of education) play as moderating effects on the relationship between leadership style and small business financial performance in the national…

Tobacco Sales in Community Pharmacies: Remote Decisions and Demographic Targets

ERIC Educational Resources Information Center

Morton, Cory M.; Peterson, N. Andrew; Schneider, John E.; Smith, Brian J.; Armstead, Theresa L.

2010-01-01

This study applied multilevel modeling procedures with data from 678 community pharmacies and 382 residential census tracts in a Midwestern U.S. state to determine if two sets of variables: retail type (e.g., remotely owned, independently owned) and population demographics of the tracts in which outlets were located were associated with retail…

Distribution of Health-Related Physical Fitness in Texas Youth: A Demographic and Geographic Analysis

ERIC Educational Resources Information Center

Welk, Gregory J.; Meredith, Marilu D.; Ihmels, Michelle; Seeger, Chris

2010-01-01

This study examined demographic and geographic variability in aggregated school-level data on the percentage of students achieving the FITNESSGRAM[R] Healthy Fitness Zones[TM] (HFZ). Three-way analyses of variance were used to examine differences in fitness achievement rates among schools that had distinct diversity and socioeconomic status…

Influence of Family and Socio-Demographic Variables on Students with Low Academic Achievement

ERIC Educational Resources Information Center

Casanova, Pedro F.; Garcia-Linares, M. Cruz; de la Torre, Manuel J.; Carpio, M. de la Villa

2005-01-01

In this study we compare the distribution of parental educational styles and the scores reported both by parents and students for various family characteristics (acceptance, control, involvement, and expectations) and socio-demographic factors (socio-economic status, family structure, number of children, and order of birth of the children) in a…

Handicap Parking: A Demographic Study of Legal and Illegal Users.

ERIC Educational Resources Information Center

Bordeaux, Monica N.; And Others

Studies on handicap parking reveal the existence of a significant problem of unauthorized use of designated handicap spaces. This study examined various demographic variables involved in the illegal use of handicap parking spaces. Subjects (N=266) were drivers of vehicles observed in handicap parking spaces in three grocery store parking lots.…

Suicide Attempts in an African Schizophrenia Population: An Assessment of Demographic Risk Factors

ERIC Educational Resources Information Center

Niehaus, D.J.H.; Laurent, C.; Jordaan, E.; Koen, L.; Oosthuizen, P.; Keyter, N.; Muller, J. E.; Mbanga, N. I.; Deleuze, J.-F.; Mallet, J.; Stein, D. J.; Emsley, R.

2004-01-01

This study investigated demographic variables, including affected sibling pair status, as risk factors for suicidal behavior in schizophrenia patients of African (Xhosa) descent. Xhosa subjects with schizophrenia were interviewed with the Diagnostic Interview for Genetic Studies (DIGS) and then stratified into two groups: those with ( n = 90) and…

Predicting College Success: Achievement, Demographic, and Psychosocial Predictors of First-Semester College Grade Point Average

ERIC Educational Resources Information Center

Saltonstall, Margot

2013-01-01

This study seeks to advance and expand research on college student success. Using multinomial logistic regression analysis, the study investigates the contribution of psychosocial variables above and beyond traditional achievement and demographic measures to predicting first-semester college grade point average (GPA). It also investigates if…

Climate and demography in early prehistory: using calibrated (14)C dates as population proxies.

PubMed

Riede, Felix

2009-04-01

Although difficult to estimate for prehistoric hunter-gatherer populations, demographic variables-population size, density, and the connectedness of demes-are critical for a better understanding of the processes of material culture change, especially in deep prehistory. Demography is the middle-range link between climatic changes and both biological and cultural evolutionary trajectories of human populations. Much of human material culture functions as a buffer against climatic changes, and the study of prehistoric population dynamics, estimated through changing frequencies of calibrated radiocarbon dates, therefore affords insights into how effectively such buffers operated and when they failed. In reviewing a number of case studies (Mesolithic Ireland, the origin of the Bromme culture, and the earliest late glacial human recolonization of southern Scandinavia), I suggest that a greater awareness of demographic processes, and in particular of demographic declines, provides many fresh insights into what structured the archaeological record. I argue that we cannot sideline climatic and environmental factors or extreme geophysical events in our reconstructions of prehistoric culture change. The implications of accepting demographic variability as a departure point for evaluating the archaeological record are discussed.

Do effects of common case-mix adjusters on patient experiences vary across patient groups?

PubMed

de Boer, Dolf; van der Hoek, Lucas; Rademakers, Jany; Delnoij, Diana; van den Berg, Michael

2017-11-22

Many survey studies in health care adjust for demographic characteristics such as age, gender, educational attainment and general health when performing statistical analyses. Whether the effects of these demographic characteristics are consistent between patient groups remains to be determined. This is important as the rationale for adjustment is often that demographic sub-groups differ in their so-called 'response tendency'. This rationale may be less convincing if the effects of response tendencies vary across patient groups. The present paper examines whether the impact of these characteristics on patients' global rating of care varies across patient groups. Secondary analyses using multi-level regression models were performed on a dataset including 32 different patient groups and 145,578 observations. For each demographic variable, the 95% expected range of case-mix coefficients across patient groups is presented. In addition, we report whether the variance of coefficients for demographic variables across patient groups is significant. Overall, men, elderly, lower educated people and people in good health tend to give higher global ratings. However, these effects varied significantly across patient groups and included the possibility of no effect or an opposite effect in some patient groups. The response tendency attributed to demographic characteristics - such as older respondents being milder, or higher educated respondents being more critical - is not general or universal. As such, the mechanism linking demographic characteristics to survey results on patient experiences with quality of care is more complicated than a general response tendency. It is possible that the response tendency interacts with patient group, but it is also possible that other mechanisms are at play.

Predictors of Coping in Divorced Single Mothers.

ERIC Educational Resources Information Center

Propst, L. Rebecca; And Others

1986-01-01

Examined the effects of demographic variables, variables specific to marriage and divorce, and coping resources (internal and external) on the adjustment of single mothers. Results indicate that four classes of variables have an effect on the mother's adjustment: phase of divorce and/or separation; numbers and ages of children; style of coping;…

The Utilization of Community Mental Health Services by the Hispanic Elderly.

ERIC Educational Resources Information Center

Starrett,Richard A.; And Others

Multiple regression and path analyses of 29 demographic, social, and psychological variables were carried out to determine those variables that influenced the use of community-based mental health services by the Hispanic elderly. The variables were classified using the Andersen and Newman framework which conceptualizes the individual's demand for…

Built Environment and Obesity by Urbanicity in the U.S

PubMed Central

Xu, Yanqing; Wang, Fahui

2015-01-01

Based on the data from the Behavioral Risk Factor Surveillance System 2012, this study examines the association of neighborhood built environments with individual physical inactivity and obesity in the U.S. Multilevel modeling is used to control for the effects of individual socio-demographic characteristics. Neighborhood variables include built environment, poverty level and urbanicity at the county level. Among the built environment variables, a poorer street connectivity and a more prominent presence of fast-food restaurants are associated with a higher obesity risk (especially for areas of certain urbanicity levels). Analysis of data subsets divided by areas of different urbanicity levels and by gender reveals the variability of effects of independent variables, more so for the neighborhood variables than individual variables. This implies that some obesity risk factors are geographically specific and vary between men and women. The results lend support to the role of built environment in influencing people’s health behavior and outcome, and promote public policies that need to be geographically adaptable and sensitive to the diversity of demographic groups. PMID:25864019

Built environment and obesity by urbanicity in the U.S.

PubMed

Xu, Yanqing; Wang, Fahui

2015-07-01

Based on the data from the Behavioral Risk Factor Surveillance System 2012, this study examines the association of neighborhood built environments with individual physical inactivity and obesity in the U.S. Multilevel modeling is used to control for the effects of individual socio-demographic characteristics. Neighborhood variables include built environment, poverty level and urbanicity at the county level. Among the built environment variables, a poorer street connectivity and a more prominent presence of fast-food restaurants are associated with a higher obesity risk (especially for areas of certain urbanicity levels). Analysis of data subsets divided by areas of different urbanicity levels and by gender reveals the variability of effects of independent variables, more so for the neighborhood variables than individual variables. This implies that some obesity risk factors are geographically specific and vary between men and women. The results lend support to the role of built environment in influencing people's health behavior and outcome, and promote public policies that need to be geographically adaptable and sensitive to the diversity of demographic groups. Copyright © 2015 Elsevier Ltd. All rights reserved.

How do patient demographics, time-related variables, reasons for cancellation, and clinical procedures affect frequency of same-day operating room surgery cancelation? A maximum likelihood method.

PubMed

Da'ar, Omar B; Al-Mutairi, Talal

2018-06-15

Cancelation of same-day surgery is a common global problem, wasting valuable hospitals' operating room (OR) times and imposing significant economic costs. There is limited evidence to support the association between frequency of same-day surgery cancelation and patient demographics, time-related variables, healthcare provider reasons for cancelation, and clinical procedures in Saudi Arabia. The aim of this study was to explore this relationship, providing an understanding of the local context. A retrospective cross-sectional study that retrieved medical records to examine the association between the frequency of same-day surgery cancelation and covariates including patient demographics, time-related variables, healthcare provider reason for cancelation, and clinical procedures. The data covered from January 2014 to December 2014 at King Fahad National Guard Hospital in Riyadh. We considered 440 patients that met the inclusion criteria for final analysis. The cancelation was regarded less frequent if a patient canceled once in the12 months and more frequent if a patient canceled two times or more in the same period. We used descriptive statistics to summarize data and employed a probit regression to estimate the association of frequency of same-day surgery cancelation and covariates via maximum likelihood method. King Abdullah International Medical Research Center granted the institutional approval. Our study suggests that while reasons of unavailability of OR time were associated with less frequent same-day surgery cancelation, scheduling issues were linked to more frequent cancelations, compared with reasons for patients being unwell on the day of surgery. Waiting time of more than six hours and morning sessions were associated with less frequent cancelations compared to shorter waiting time and afternoon sessions. Compared to general procedures, specialized clinical procedures were associated with cancelations that are more frequent. Further, female patients were more likely to have more cancelations. Finally, being married was associated with the less frequent cancelation of same-day surgery. Our findings provide evidence of determinants of the frequency of same-day surgery cancelations. This study draws several important implications for hospitals, especially on optimal utilization of resources and minimization of same-day surgery cancellations. The study also offers several recommendations that we believe will spur future research.

Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet.

PubMed

Tremblay, Marlène; Crim, Stacy M; Cole, Dana J; Hoekstra, Robert M; Henao, Olga L; Döpfer, Dörte

2017-10-01

The Foodborne Diseases Active Surveillance Network (FoodNet) is currently using a negative binomial (NB) regression model to estimate temporal changes in the incidence of Campylobacter infection. FoodNet active surveillance in 483 counties collected data on 40,212 Campylobacter cases between years 2004 and 2011. We explored models that disaggregated these data to allow us to account for demographic, geographic, and seasonal factors when examining changes in incidence of Campylobacter infection. We hypothesized that modeling structural zeros and including demographic variables would increase the fit of FoodNet's Campylobacter incidence regression models. Five different models were compared: NB without demographic covariates, NB with demographic covariates, hurdle NB with covariates in the count component only, hurdle NB with covariates in both zero and count components, and zero-inflated NB with covariates in the count component only. Of the models evaluated, the nonzero-augmented NB model with demographic variables provided the best fit. Results suggest that even though zero inflation was not present at this level, individualizing the level of aggregation and using different model structures and predictors per site might be required to correctly distinguish between structural and observational zeros and account for risk factors that vary geographically.

[Modeling the academic performance of medical students in basic sciences and pre-clinical courses: a longitudinal study].

PubMed

Zúñiga, Denisse; Mena, Beltrán; Oliva, Rose; Pedrals, Nuria; Padilla, Oslando; Bitran, Marcela

2009-10-01

The study of predictors of academic performance is relevant for medical education. Most studies of academic performance use global ratings as outcome measure, and do not evaluate the influence of the assessment methods. To model by multivariate analysis, the academic performance of medical considering, besides academic and demographic variables, the methods used to assess students' learning and their preferred modes of information processing. Two hundred seventy two students admitted to the medical school of the Pontificia Universidad Católica de Chile from 2000 to 2003. Six groups of variables were studied to model the students' performance in five basic science courses (Anatomy, Biology, Calculus, Chemistry and Physics) and two pre-clinical courses (Integrated Medical Clinic I and IT). The assessment methods examined were multiple choice question tests, Objective Structured Clinical Examination and tutor appraisal. The results of the university admission tests (high school grades, mathematics and biology tests), the assessment methods used, the curricular year and previous application to medical school, were predictors of academic performance. The information processing modes influenced academic performance, but only in interaction with other variables. Perception (abstract or concrete) interacted with the assessment methods, and information use (active or reflexive), with sex. The correlation between the real and predicted grades was 0.7. In addition to the academic results obtained prior to university entrance, the methods of assessment used in the university and the information processing modes influence the academic performance of medical students in basic and preclinical courses.

Demand for long acting and permanent methods of contraceptives and factors for non-use among married women of Goba Town, Bale Zone, South East Ethiopia.

PubMed

Takele, Abulie; Degu, Getu; Yitayal, Mezgebu

2012-10-29

Contraceptive use including short acting, long acting and permanent methods positively influence the socio-economic development of a nation by allowing families to space and limit their family size to their economic capacity. Demand for LAPMs of contraception as detrmined by utilization and unmet need for LAPMs of contraception can provide realiable information for providers. To determine the utilization of long acting and permanent contraception and its associated factors among married women of Goba town, South East Ethiopia. A cross sectional community based study was conducted among 734 systematically selected married women of reproductive age in Goba town in September/ 2009. A structured and pretested, interview questionaire was used to collect data on socio-demographic, behavioral factors and data related to demand for LAPMs of contraception. Data were analyzed using EPI INFO and SPSS version 16. The demand for Long Acting and Permanent Methods (LAPMs) of contraception was 18.1%. Utilization of LAPMs of contraception in the town was 64 (8.7%) and the unmet need for LAPMs was 69 (9.4%). Information on LAPMs in the town was 636 (86.6%). Media (radio and television) was the major sources of information 641 (87.3%). The use of LAPMs was significatly associated with ever use AOR[17.43, 95% CI:9.19, 33.03], number of times discussions made on methods AOR[4.6, 95% CI: 1.72,12.17] and main decider of using methods AOR[ 2.2, 95% CI:1.03, 4.65]. It was not associated with socio-demographic variables. The utilization of LAPMs in the town was less although higher than the Ethiopian demographic and health survey 2005 result. Moreover, there was a considerable unmet need. Increase the method mix of LAPMs by incorporating varaies of implnats in order to increase utilization. Proper counseling of client and partners discussion were some of the recommendation forwarded.

Stigma and its correlates in patients with schizophrenia attending a general hospital psychiatric unit

PubMed Central

Singh, Aakanksha; Mattoo, Surendra K.; Grover, Sandeep

2016-01-01

Background: Very few studies from India have studied stigma experienced by patients with schizophrenia. Aim of the Study: To study stigma in patients with schizophrenia (in the form of internalized stigma, perceived stigma and social-participation-restriction stigma) and its relationship with specified demographic and clinical variables (demographic variables, clinical profile, level of psychopathology, knowledge about illness, and insight). Materials and Methods: Selected by purposive random sampling, 100 patients with schizophrenia in remission were evaluated on internalized stigma of mental illness scale (ISMIS), explanatory model interview catalog stigma scale, participation scale (P-scale), positive and negative syndrome scale for schizophrenia, global assessment of functioning scale, scale to assess unawareness of mental disorder, and knowledge of mental illness scale. Results: On ISMIS scale, 81% patients experienced alienation and 45% exhibited stigma resistance. Stereotype endorsement was seen in 26% patients, discrimination experience was faced by 21% patients, and only 16% patients had social withdrawal. Overall, 29% participants had internalized stigma when total ISMIS score was taken into consideration. On P-scale, 67% patients experienced significant restriction, with a majority reporting moderate to mild restriction. In terms of associations between stigma and sociodemographic variables, no consistent correlations emerged, except for those who were not on paid job, had higher participation restriction. Of the clinical variables, level of functioning was the only consistent predictor of stigma. While better knowledge about the disorder was associated with lower level of stigma, there was no association between stigma and insight. Conclusion: Significant proportion of patients with schizophrenia experience stigma and stigma is associated with lower level of functioning and better knowledge about illness is associated with lower level of stigma. PMID:28066007

Characterization of Noise Signatures of Involuntary Head Motion in the Autism Brain Imaging Data Exchange Repository

PubMed Central

Caballero, Carla; Mistry, Sejal; Vero, Joe; Torres, Elizabeth B

2018-01-01

The variability inherently present in biophysical data is partly contributed by disparate sampling resolutions across instrumentations. This poses a potential problem for statistical inference using pooled data in open access repositories. Such repositories combine data collected from multiple research sites using variable sampling resolutions. One example is the Autism Brain Imaging Data Exchange repository containing thousands of imaging and demographic records from participants in the spectrum of autism and age-matched neurotypical controls. Further, statistical analyses of groups from different diagnoses and demographics may be challenging, owing to the disparate number of participants across different clinical subgroups. In this paper, we examine the noise signatures of head motion data extracted from resting state fMRI data harnessed under different sampling resolutions. We characterize the quality of the noise in the variability of the raw linear and angular speeds for different clinical phenotypes in relation to age-matched controls. Further, we use bootstrapping methods to ensure compatible group sizes for statistical comparison and report the ranges of physical involuntary head excursions of these groups. We conclude that different sampling rates do affect the quality of noise in the variability of head motion data and, consequently, the type of random process appropriate to characterize the time series data. Further, given a qualitative range of noise, from pink to brown noise, it is possible to characterize different clinical subtypes and distinguish them in relation to ranges of neurotypical controls. These results may be of relevance to the pre-processing stages of the pipeline of analyses of resting state fMRI data, whereby head motion enters the criteria to clean imaging data from motion artifacts. PMID:29556179

Predictors of Using a Microbicide-like Product Among Adolescent Girls

PubMed Central

Short, Mary B.; Succop, Paul A.; Ugueto, Ana M.; Rosenthal, Susan L.

2007-01-01

Purpose This study examined demographic, sexual history and weekly contextual variables, and perceptions about microbicides as predictors of microbicide-like product use. Methods Adolescent girls (N=208; 14-21 years) participated in a 6-month study in which they completed three face-to-face interviews and 24-weekly phone call interviews. Participants were given microbicide-like products (vaginal lubricants) and encouraged to use them with condoms when they had intercourse. Results Seventy-five percent of girls had a sexual opportunity to use the product. Using multi-variable logistic regression, the following variables independently predicted ever using the product: length of sexual experience, number of lifetime vaginal partners, and the Comparison to Condoms subscale on the Perceptions of Microbicides Scale. Using mixed model repeat measure linear regression, the following variables independently predicted frequency of use: week of the study, age, condom frequency prior to the study, and 3 subscales on the Perceptions of Microbicide Scale including the Comparison to Condoms subscale, the Negative Effects subscale, and the Pleasure subscale. Conclusion Most girls used the product, including those who were not protecting themselves with condoms. Girls’ initial perceptions regarding the product predicted initial use and frequency of use. Further research should evaluate the best methods for supporting the use of these products by young or sexually less experienced girls. PMID:17875461

The prediction of intelligence in preschool children using alternative models to regression.

PubMed

Finch, W Holmes; Chang, Mei; Davis, Andrew S; Holden, Jocelyn E; Rothlisberg, Barbara A; McIntosh, David E

2011-12-01

Statistical prediction of an outcome variable using multiple independent variables is a common practice in the social and behavioral sciences. For example, neuropsychologists are sometimes called upon to provide predictions of preinjury cognitive functioning for individuals who have suffered a traumatic brain injury. Typically, these predictions are made using standard multiple linear regression models with several demographic variables (e.g., gender, ethnicity, education level) as predictors. Prior research has shown conflicting evidence regarding the ability of such models to provide accurate predictions of outcome variables such as full-scale intelligence (FSIQ) test scores. The present study had two goals: (1) to demonstrate the utility of a set of alternative prediction methods that have been applied extensively in the natural sciences and business but have not been frequently explored in the social sciences and (2) to develop models that can be used to predict premorbid cognitive functioning in preschool children. Predictions of Stanford-Binet 5 FSIQ scores for preschool-aged children is used to compare the performance of a multiple regression model with several of these alternative methods. Results demonstrate that classification and regression trees provided more accurate predictions of FSIQ scores than does the more traditional regression approach. Implications of these results are discussed.

Family functioning mediates adaptation in caregivers of individuals with Rett syndrome.

PubMed

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.

Psychosocial and demographic factors related to health behaviors in the 1st trimester.

PubMed

Walker, L O; Cooney, A T; Riggs, M W

1999-01-01

To explore the relationship of psychosocial and demographic variables to health behaviors in early pregnancy. First trimester findings presented from a prospective study of weight gain in pregnancy. A comprehensive health care system in central Texas. 114 pregnant women (75% white, 13% African American, 10% Hispanic, 2% Asian) of 12 weeks gestation or less. Self-Care Inventory, which includes diet/eating, substance abuse, recklessness, hygiene-related practices, sleep/rest, and exercise behaviors. In regression analysis the final model of demographic and psychosocial variables showed that higher depressive symptoms, lower internal locus of control for fetal health, and lower family income were related to poorer health behaviors in the 1st trimester of pregnancy. Health behaviors in early pregnancy may be affected by psychosocial factors such as depressive symptoms. Greater emphasis should be given to such factors in research and prenatal assessments.

High-level language ability in healthy individuals and its relationship with verbal working memory.

PubMed

Antonsson, Malin; Longoni, Francesca; Einald, Christina; Hallberg, Lina; Kurt, Gabriella; Larsson, Kajsa; Nilsson, Tina; Hartelius, Lena

2016-01-01

The aims of the study were to investigate healthy subjects' performance on a clinical test of high-level language (HLL) and how it is related to demographic characteristics and verbal working memory (VWM). One hundred healthy subjects (20-79 years old) were assessed with the Swedish BeSS test (Laakso, Brunnegård, Hartelius, & Ahlsén, 2000) and two digit span tasks. Relationships between the demographic variables, VWM and BeSS were investigated both with bivariate correlations and multiple regression analysis. The results present the norms for BeSS. The correlations and multiple regression analysis show that demographic variables had limited influence on test performance. Measures of VWM were moderately related to total BeSS score and weakly to moderately correlated with five of the seven subtests. To conclude, education has an influence on the test as a whole but measures of VWM stood out as the most robust predictor of HLL.

Relative Importance of Demographic, Socioeconomic and Health Factors on Life Expectancy in Low- and Lower-Middle-Income Countries

PubMed Central

Mondal, Md. Nazrul Islam; Shitan, Mahendran

2014-01-01

Background We attempted to identify the pathways by which demographic changes, socioeconomic inequalities, and availability of health factors influence life expectancy in low- and lower-middle-income countries. Methods Data for 91 countries were obtained from United Nations agencies. The response variable was life expectancy, and the determinant factors were demographic events (total fertility rate and adolescent fertility rate), socioeconomic status (mean years of schooling and gross national income per capita), and health factors (physician density and human immunodeficiency virus [HIV] prevalence rate). Path analysis was used to determine the direct, indirect, and total effects of these factors on life expectancy. Results All determinant factors were significantly correlated with life expectancy. Mean years of schooling, total fertility rate, and HIV prevalence rate had significant direct and indirect effects on life expectancy. The total effect of higher physician density was to increase life expectancy. Conclusions We identified several direct and indirect pathways that predict life expectancy. The findings suggest that policies should concentrate on improving reproductive decisions, increasing education, and reducing HIV transmission. In addition, special attention should be paid to the emerging need to increase life expectancy by increasing physician density. PMID:24390415

[Teenage pregnancy: Behavioral and socio-demographic profile of an urban Brazilian population].

PubMed

Chalem, Elisa; Mitsuhiro, Sandro Sendin; Ferri, Cleusa P; Barros, Marina Carvalho Moraes; Guinsburg, Ruth; Laranjeira, Ronaldo

2007-01-01

To identify the socio-demographic behavioral profile of low-income pregnant teenagers, 1,000 adolescents admitted to a Brazilian public maternity hospital from July 24, 2001, to November 27, 2002, were interviewed. Socio-demographic and behavioral variables were assessed through a questionnaire. Over the 492 days of the study, 24.3% of admissions were adolescents (930 for childbirth and 70 for miscarriage). Mean maternal age was 17 years. Most teenagers (72.9%) lived near the hospital. 930 (93%) belonged to socioeconomic classes C, D, and E. School dropout was identified in 67.3% of the total. 80.1% of the subjects were giving birth for the first time. 81.2% had not planned the pregnancy, and 23.8% had been using some contraceptive method. 67.4% had vaginal deliveries. Some 13.3% of the newborns were premature and 15.9% had low birth weight. 17.3% of these adolescent mothers reported smoking during pregnancy, with 2.8% reporting alcohol and 1.7% illicit drugs. Teenage pregnancy is a complex phenomenon associated with various economic, educational, and behavioral factors. The study provides importance references for public policies to prevent teenage pregnancy.

Maternal risk factors predicting child physical characteristics and dysmorphology in fetal alcohol syndrome and partial fetal alcohol syndrome.

PubMed

May, Philip A; Tabachnick, Barbara G; Gossage, J Phillip; Kalberg, Wendy O; Marais, Anna-Susan; Robinson, Luther K; Manning, Melanie; Buckley, David; Hoyme, H Eugene

2011-12-01

Previous research in South Africa revealed very high rates of fetal alcohol syndrome (FAS), of 46-89 per 1000 among young children. Maternal and child data from studies in this community summarize the multiple predictors of FAS and partial fetal alcohol syndrome (PFAS). Sequential regression was employed to examine influences on child physical characteristics and dysmorphology from four categories of maternal traits: physical, demographic, childbearing, and drinking. Then, a structural equation model (SEM) was constructed to predict influences on child physical characteristics. Individual sequential regressions revealed that maternal drinking measures were the most powerful predictors of a child's physical anomalies (R² = .30, p < .001), followed by maternal demographics (R² = .24, p < .001), maternal physical characteristics (R²=.15, p < .001), and childbearing variables (R² = .06, p < .001). The SEM utilized both individual variables and the four composite categories of maternal traits to predict a set of child physical characteristics, including a total dysmorphology score. As predicted, drinking behavior is a relatively strong predictor of child physical characteristics (β = 0.61, p < .001), even when all other maternal risk variables are included; higher levels of drinking predict child physical anomalies. Overall, the SEM model explains 62% of the variance in child physical anomalies. As expected, drinking variables explain the most variance. But this highly controlled estimation of multiple effects also reveals a significant contribution played by maternal demographics and, to a lesser degree, maternal physical and childbearing variables. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Gross violation of human rights and inequality in city of São Paulo, Southeastern Brazil.

PubMed

Ruotti, Caren; Freitas, Taís Viudes de; Almeida, Juliana Feliciano de; Peres, Maria Fernanda Tourinho

2009-06-01

To analyze the profile of gross human rights violations, and the relationship between these violations and socioeconomic and demographic indicators. Cross-sectional ecological study of 96 census districts of the city of São Paulo (Southeastern Brazil) in the year 2000. The data used came from the gross human rights violations database maintained by the Núcleo de Estudos de Violência (Center for the Study of Violence) at the Universidade de São Paulo. This database contains information on all the cases of summary executions, lynching and police violence reported on the written press. Socioeconomic and demographic data were obtained from the 2000 Census carried out by the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics). A descriptive analysis of the data was carried out, and the association between the dependent variable - gross human rights violations (number of police violence victims, lynching episodes and summary executions) -, and different socioeconomic and demographic variables was tested. In order to test this association the Spearman's correlation test was used. The correlations between gross human rights violations and the socioeconomic and demographic indicators were statistically significant, except for the urbanization rate and the hospital beds per 1000 inhabitants. The strongest correlations were found between the dependent variable and the following variables: size of the resident population (r=0,693), proportion of youths aged from 15 to 24 years (r=0,621), and proportion of household heads with no education or with up to three years of schooling (r=0,590). Gross human rights violations more markedly occur in the population with the worst living conditions. Therefore, in a scenario in which inequality in attaining social and economic rights is directly superposed to the violation of civil rights, the violence cycle is intensified and perpetuated.

Demographic behavior and the welfare state: econometric issues in the identification of the effects of tax and transfer programs.

PubMed

Moffitt, R

1989-01-01

It is difficult and risky to identify the effects of tax and transfer programs on demographic behavior. The primary concern of this article is to see if real exogenous variation in these programs' parameters exist to adequately evaluate the effects of the programs on behavior. A 1982 study examined the effect of the Aid to Families with Dependent Children (AFDC), a commonly used example of a US transfer program, on the probability that a female heads a household of children 18 years old with no adult male present. The dependent variable merged household, marital status, and fertility choice into 1 variable. The independent variables included leisure hours and income which also defined a woman's utility function. In this study, the parameters used to represent AFDC effects were not only identified by variation in the AFDC variables. 2 other studies attempting to examine AFDC's effects on demographic behavior (Hutchens [1979] and Ellwood and Bane [1985]) also failed to identify these effects. Ellwood and Bane appropriately concentrated on exogenous program variation (since benefits vary from state to state) and how it might be used in evaluating the effects of AFDC on behavior. They erroneously determined, however, that state variation should not be considered in their model. The studies reviewed in this article looked at AFDC, a program with significant intracountry parameter variation, yet these studies relied on potentially illegitimate sources of variation. Intracountry program variation is less likely to occur in Western Europe and therefore the problem of identifying effects of tax and transfer programs on demographic behavior is apt to be even more severe. Any further such studies should address these issues.

Factor analysis in predominantly severe COPD: identification of disease heterogeneity by easily measurable characteristics.

PubMed

Postma, Dirkje S; Anzueto, Antonio R; Jenkins, Christine; Make, Barry J; Similowski, Thomas; Östlund, Ollie; Eriksson, Göran S; Calverley, Peter M

2013-12-01

The clinical and demographic variables defining the heterogeneity of chronic obstructive pulmonary disease (COPD) are unclear. A post-hoc analysis of five randomised studies in patients with a history of previous exacerbations examined the clinical and demographic characteristics describing moderate-to-very-severe COPD. Factor analysis was performed on all continuous baseline demographic and clinical data, without variable selection. Analyses were based on the full cohort and on stratifications by pack-years smoked, smoking status, gender, and comorbidities; patient exacerbation history was analysed in two of the five studies. 6162 COPD patients were evaluated (70% male; 40% current smokers; mean pre-bronchodilator forced expiratory volume in 1 s [FEV1] 35.2% predicted). Baseline clinical and demographic variables loaded differentially on six factors with minimal overlap, explaining 60.4% of the heterogeneity: 1) symptoms (cough, dyspnoea, sleep disturbance), health status, reliever use; 2) pre-bronchodilator FEV1, FEV1/forced vital capacity, morning peak expiratory flow (PEF), body mass index (BMI); 3) blood pressure; 4) age, months since first COPD symptoms; 5) PEF variability; 6) pulse, FEV1 reversibility. Most factors loaded similarly in stratified and exacerbation analyses. BMI loaded with reversibility in females, and with age and months since first COPD symptoms in ex-smokers. Exacerbations loaded to factor 6. Readily available data can explain ≈ 60% of COPD heterogeneity in a large dataset of predominantly severe COPD patients. Factors were robust over determinants of disease outcome; gender, smoking status, pack-years smoked, and comorbidities. The main factors were largely unchanged by adding exacerbations. Only BMI loaded to other factors. Copyright © 2013. Published by Elsevier Ltd.

Modeling Predictors of Duties Not Including Flying Status.

PubMed

Tvaryanas, Anthony P; Griffith, Converse

2018-01-01

The purpose of this study was to reuse available datasets to conduct an analysis of potential predictors of U.S. Air Force aircrew nonavailability in terms of being in "duties not to include flying" (DNIF) status. This study was a retrospective cohort analysis of U.S. Air Force aircrew on active duty during the period from 2003-2012. Predictor variables included age, Air Force Specialty Code (AFSC), clinic location, diagnosis, gender, pay grade, and service component. The response variable was DNIF duration. Nonparametric methods were used for the exploratory analysis and parametric methods were used for model building and statistical inference. Out of a set of 783 potential predictor variables, 339 variables were identified from the nonparametric exploratory analysis for inclusion in the parametric analysis. Of these, 54 variables had significant associations with DNIF duration in the final model fitted to the validation data set. The predicted results of this model for DNIF duration had a correlation of 0.45 with the actual number of DNIF days. Predictor variables included age, 6 AFSCs, 7 clinic locations, and 40 primary diagnosis categories. Specific demographic (i.e., age), occupational (i.e., AFSC), and health (i.e., clinic location and primary diagnosis category) DNIF drivers were identified. Subsequent research should focus on the application of primary, secondary, and tertiary prevention measures to ameliorate the potential impact of these DNIF drivers where possible.Tvaryanas AP, Griffith C Jr. Modeling predictors of duties not including flying status. Aerosp Med Hum Perform. 2018; 89(1):52-57.

Influence of population versus convenience sampling on sample characteristics in studies of cognitive aging.

PubMed

Brodaty, Henry; Mothakunnel, Annu; de Vel-Palumbo, Melissa; Ames, David; Ellis, Kathryn A; Reppermund, Simone; Kochan, Nicole A; Savage, Greg; Trollor, Julian N; Crawford, John; Sachdev, Perminder S

2014-01-01

We examined whether differences in findings of studies examining mild cognitive impairment (MCI) were associated with recruitment methods by comparing sample characteristics in two contemporaneous Australian studies, using population-based and convenience sampling. The Sydney Memory and Aging Study invited participants randomly from the electoral roll in defined geographic areas in Sydney. The Australian Imaging, Biomarkers and Lifestyle Study of Ageing recruited cognitively normal (CN) individuals via media appeals and MCI participants via referrals from clinicians in Melbourne and Perth. Demographic and cognitive variables were harmonized, and similar diagnostic criteria were applied to both samples retrospectively. CN participants recruited via convenience sampling were younger, better educated, more likely to be married and have a family history of dementia, and performed better cognitively than those recruited via population-based sampling. MCI participants recruited via population-based sampling had better memory performance and were less likely to carry the apolipoprotein E ε4 allele than clinically referred participants but did not differ on other demographic variables. A convenience sample of normal controls is likely to be younger and better functioning and that of an MCI group likely to perform worse than a purportedly random sample. Sampling bias should be considered when interpreting findings. Copyright © 2014 Elsevier Inc. All rights reserved.

Impact of Depression, Fatigue, and Global Measure of Cortical Volume on Cognitive Impairment in Multiple Sclerosis

PubMed Central

De Cola, Maria Cristina; D'Aleo, Giangaetano; Sessa, Edoardo; Marino, Silvia

2015-01-01

Objective. To investigate the influence of demographic and clinical variables, such as depression, fatigue, and quantitative MRI marker on cognitive performances in a sample of patients affected by multiple sclerosis (MS). Methods. 60 MS patients (52 relapsing remitting and 8 primary progressive) underwent neuropsychological assessments using Rao's Brief Repeatable Battery of Neuropsychological Tests (BRB-N), the Beck Depression Inventory-second edition (BDI-II), and the Fatigue Severity Scale (FSS). We performed magnetic resonance imaging to all subjects using a 3 T scanner and obtained tissue-specific volumes (normalized brain volume and cortical brain volume). We used Student's t-test to compare depressed and nondepressed MS patients. Finally, we performed a multivariate regression analysis in order to assess possible predictors of patients' cognitive outcome among demographic and clinical variables. Results. 27.12% of the sample (16/59) was cognitively impaired, especially in tasks requiring attention and information processing speed. From between group comparison, we find that depressed patients had worse performances on BRB-N score, greater disability and disease duration, and brain volume decrease. According to multiple regression analysis, the BDI-II score was a significant predictor for most of the neuropsychological tests. Conclusions. Our findings suggest that the presence of depressive symptoms is an important determinant of cognitive performance in MS patients. PMID:25861633

Do Demographic Characteristics Make a Difference to Burnout among Hong Kong Secondary School Teachers?

ERIC Educational Resources Information Center

Lau, Patrick S. Y.; Yuen, Man Tak; Chan, Raymond M. C.

2005-01-01

This study aims to investigate the relationship between teachers' demographic variables and burnout in Hong Kong using the Maslach Burnout Inventory. It is found that when compared with the North American normative data, Hong Kong teachers scored in the average range of burnout in emotional exhaustion and personal accomplishment while they scored…

Wilderness and primitive area recreation participation and consumption: an examination of demographic and spatial factors

Treesearch

J. Michael Bowker; D. Murphy; H. Ken Cordell; Donald B.K. English; J.C. Bergstrom; C.M. Starbuck; C.J. Betz; G.T. Green

2006-01-01

This paper explores the influence of demographic and spatial variables on individual participation and consumption of wildland area recreation. Data from the National Survey on Recreation and the Environment are combined with geographical information systembased distance measures to develop nonlinear regression models used to predict both participation and the number...

Demographic Factors and Communal Mastery as Predictors of Academic Motivation and Test Anxiety

ERIC Educational Resources Information Center

Ünal-Karagüven, M. Hülya

2015-01-01

Academic motivation and test anxiety have been still adduced for low performance of students by educators. To know the factors that have an effect on students' academic motivation and test anxiety levels can be helpful to improve students' academic performance. The aim of this study was to investigate the effects of demographic variables and…

The Differential Contribution of Maternal and Paternal Values to Social Competence of Preschoolers

ERIC Educational Resources Information Center

Bigras, Marc; Crepaldi, Maria Aparecida

2013-01-01

Multivariate analyses were conducted to clarify the nature of the influences of parental values on social behaviours of kindergarteners in the context of socio-demographic variables and sex of participants. This study included 217 mothers and 172 fathers from the same families, who completed a socio-demographic questionnaire and a new Q-sort that…

Psychological factors that predict reaction to abortion.

PubMed

Moseley, D T; Follingstad, D R; Harley, H; Heckel, R V

1981-04-01

Investigated demographic and psychological factors related to positive or negative reactions to legal abortions performed during the first trimester of pregnancy in 62 females in an urban southern community. Results suggest that the social context and the degree of support from a series of significant persons rather than demographic variables were most predictive of a positive reaction.

Using the University Student Depression Inventory to Investigate the Effect of Demographic Variables on Students' Depression

ERIC Educational Resources Information Center

Khawaja, Nigar G.; Duncanson, Krystle

2008-01-01

Depression is a problem in the student population and may impact students of any age, gender and ethnicity. Previous studies have indicated student demographic characteristics are associated with depression; however, these studies have not utilised scales specifically designed to measure depression in the student population. The aim of the present…

Demographic Profiling--A Determination of Academic Performance in a Postgraduate Diploma in Marketing Management

ERIC Educational Resources Information Center

Beneke, J.; Beeming, C.

2011-01-01

This article analyses the direct effect of demographic variables on academic outcomes. The study concludes that ethnic group plays a pivotal role in determining the academic performance of students registered for the Postgraduate Diploma in Marketing Management at the University of Cape Town. White students (presumed to emanate from a privileged…

The Effect of Teacher Demographic and Personal Characteristics on Perceptions of Diversity Inclusion in Agricultural Education Programs

ERIC Educational Resources Information Center

LaVergne, Douglas D.; Jones, Wash A.; Larke, Alvin, Jr.; Elbert, Chanda D.

2012-01-01

Agricultural education teachers' attitudes about the perceptions of diversity inclusion in their programs are variables that may have a strong influence on the number of students that enroll in agricultural education. This study examines the effect of teachers' demographic and personal characteristics on their perceptions of the benefits of…

Development of a Decision Support System to Predict Physicians' Rehabilitation Protocols for Patients with Knee Osteoarthritis

ERIC Educational Resources Information Center

Hawamdeh, Ziad M.; Alshraideh, Mohammad A.; Al-Ajlouni, Jihad M.; Salah, Imad K.; Holm, Margo B.; Otom, Ali H.

2012-01-01

To design a medical decision support system (MDSS) that would accurately predict the rehabilitation protocols prescribed by the physicians for patients with knee osteoarthritis (OA) using only their demographic and clinical characteristics. The demographic and clinical variables for 170 patients receiving one of three treatment protocols for knee…

Job Satisfaction among Jordan's Kindergarten Teachers: Effects of Workplace Conditions and Demographic Characteristics

ERIC Educational Resources Information Center

Abu Taleb, Tagreed Fathi

2013-01-01

The main objective of this study was to examine the job satisfaction levels of Jordanian kindergarten teachers in relation to work-related dimensions and socio-demographic variables. The sample consisted of 264 randomly selected teachers working in private kindergartens in Amman. To meet the study's objectives, a two part questionnaire was…

Persistence of Undergraduate Students at Arizona State University: A Research Report on the Class Entering in Fall, 1976.

ERIC Educational Resources Information Center

Richardson, Richard C., Jr.; Attinasi, Louis C., Jr.

The academic persistence of undergraduate students at Arizona State University was studied. Demographic and academic profiles were developed, and persistence rates were calculated for the overall population of 3,166 freshmen, and by gender and ethnicity. Additional demographic variables were residency status and age. The academic variables…

Student Mobility and Demographics: Relationships to Aptitude and Achievement in a Three-Year Middle School.

ERIC Educational Resources Information Center

Bolinger, Kevin; Gilman, David

This study examined differences between stable (n=107) and mobile (n=39) students attending a three-year middle school in Terre Haute (Indiana). Demographic variables of gender, ethnicity, and family income were considered, in addition to mobility, to assess possible relationships with aptitude and achievement. Achievement was measured by the…

Investigating Academic Self-Efficacy of University Students in Terms of Socio-Demographic Variables

ERIC Educational Resources Information Center

Satici, Seydi Ahmet; Can, Gurhan

2016-01-01

In this study whether academic self-efficacy of university students differ in terms of various socio-demographic features has been investigated. The study was conducted on 1679 students who were attending Anadolu University. In the study, the Academic Self-Efficacy Scale and Personal Information Form were used as data collection tools. In the…

School Violence: Associations with Control, Security/Enforcement, Educational/Therapeutic Approaches, and Demographic Factors

ERIC Educational Resources Information Center

Nickerson, Amanda B.; Martens, Matthew P.

2008-01-01

This study examined the extent to which three approaches to violence prevention and response were associated with the incidence of school crime and disruption after accounting for the influence of demographic variables. Secondary data analyses were conducted with four subsets of the sample of principals who completed the National Center for…

Curriculum-Based Assessment, Socio-Demographic and Educational Measures as Predictors of Mathematics FCAT: Implications for Emancipatory Inquiry

ERIC Educational Resources Information Center

Behar-Horenstein, Linda S.; Hudson-Vassell, Michael; Hudson-Vassell, Charisse N.; Garvan, Cynthia W.

2015-01-01

Using critical lenses, this study examined the predictive value added of curriculum-based assessment (CBA), with socio-demographic and educational variables on the mathematics portion of Florida Comprehensive Assessment Test (FCAT). Gender, race, socio-economic status, and exceptional student education (ESE) were compared in a de-identified post…

Effects of Cancer Stage and Treatment Differences on Racial Disparities in Survival From Colon Cancer: A United States Population-Based Study.

PubMed

Lai, Yinzhi; Wang, Chun; Civan, Jesse M; Palazzo, Juan P; Ye, Zhong; Hyslop, Terry; Lin, Jianqing; Myers, Ronald E; Li, Bingshan; Jiang, Binghua; Sama, Ashwin; Xing, Jinliang; Yang, Hushan

2016-05-01

We evaluated differences in treatment of black vs white patients with colon cancer and assessed their effects on survival, based on cancer stage. We collected data from the Surveillance, Epidemiology, and End Results-Medicare database and identified 6190 black and 61,951 white patients with colon cancer diagnosed from 1998 through 2009 and followed up through 2011. Three sets of 6190 white patients were matched sequentially, using a minimum distance strategy, to the same set of 6190 black patients based on demographic (age; sex; diagnosis year; and Surveillance, Epidemiology, and End Results registry), tumor presentation (demographic plus comorbidities, tumor stage, grade, and size), and treatment (presentation plus therapies) variables. We conducted sensitivity analyses to explore the effects of socioeconomic status in a subcohort that included 2000 randomly selected black patients. Racial differences in treatment were assessed using a logistic regression model; their effects on racial survival disparity were evaluated using the Kaplan-Meier method and the Cox proportional hazards model. After patients were matched for demographic variables, the absolute 5-year difference in survival between black and white patients was 8.3% (white, 59.2% 5-y survival; blacks, 50.9% 5-y survival) (P < .0001); this value decreased significantly, to 5.0% (P < .0001), after patients were matched for tumor presentation, and decreased to 4.9% (P < .0001) when patients were matched for treatment. Differences in treatment therefore accounted for 0.1% of the 8.3% difference in survival between black and white patients. After patients were matched for tumor presentation, racial disparities were observed in almost all types of treatment; the disparities were most prominent for patients with advanced-stage cancer (stages III or IV, up to an 11.1% difference) vs early stage cancer (stages I or II, up to a 4.3% difference). After patients were matched for treatment, there was a greater reduction in disparity for black vs white patients with advanced-stage compared with early-stage cancer. In sensitivity analyses, the 5-year racial survival disparity was 7.7% after demographic match, which was less than the 8.3% observed in the complete cohort. This reduction likely was owing to the differences between the subcohort and the complete cohort in those variables that were not included in the demographic match. This value was reduced to 6.5% (P = .0001) after socioeconomic status was included in the demographic match. The difference decreased significantly to 2.8% (P = .090) after tumor presentation match, but was not reduced further after treatment match. We observed significant disparities in treatment and survival of black vs white patients with colon cancer. The disparity in survival appears to have been affected more strongly by tumor presentation at diagnosis than treatment. The effects of treatment differences on disparities in survival were greater for patients with advanced-stage vs early-stage cancer. Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.

Predicting Change over Time in Career Planning and Career Exploration for High School Students

ERIC Educational Resources Information Center

Creed, Peter A.; Patton, Wendy; Prideaux, Lee-Ann

2007-01-01

This study assessed 166 high school students in Grade 8 and again in Grade 10. Four models were tested: (a) whether the T1 predictor variables (career knowledge, indecision, decision-making selfefficacy, self-esteem, demographics) predicted the outcome variable (career planning/exploration) at T1; (b) whether the T1 predictor variables predicted…

Heterogeneity in drug abuse among juvenile offenders: is mixture regression more informative than standard regression?

PubMed

Montgomery, Katherine L; Vaughn, Michael G; Thompson, Sanna J; Howard, Matthew O

2013-11-01

Research on juvenile offenders has largely treated this population as a homogeneous group. However, recent findings suggest that this at-risk population may be considerably more heterogeneous than previously believed. This study compared mixture regression analyses with standard regression techniques in an effort to explain how known factors such as distress, trauma, and personality are associated with drug abuse among juvenile offenders. Researchers recruited 728 juvenile offenders from Missouri juvenile correctional facilities for participation in this study. Researchers investigated past-year substance use in relation to the following variables: demographic characteristics (gender, ethnicity, age, familial use of public assistance), antisocial behavior, and mental illness symptoms (psychopathic traits, psychiatric distress, and prior trauma). Results indicated that standard and mixed regression approaches identified significant variables related to past-year substance use among this population; however, the mixture regression methods provided greater specificity in results. Mixture regression analytic methods may help policy makers and practitioners better understand and intervene with the substance-related subgroups of juvenile offenders.

The breastfeeding experiences of Canadian teenage mothers.

PubMed

Nelson, Alison; Sethi, Sarla

2005-01-01

To discover the phenomenon of breastfeeding as experienced by teenage mothers. Grounded theory method was used to study the first-time breastfeeding experiences of teenage mothers, aged 15 to 19 years. The research occurred between September 2000 and April 2001 in Calgary, Alberta, Canada. A purposive sample of 8 teenage mothers was recruited through self-identification and Calgary Health Region staff referral. DATA GENERATION AND ANALYSIS: The data were generated using informal interviews and demographic questionnaires. The data were transcribed, coded, and analyzed using constant comparative method. The emergent core variable was Teenage Mothers: Continuously Committing to Breastfeeding. Four categories supported the core variable: (a) Deciding to Breastfeed, (b) Learning to Breastfeed, (c) Adjusting to Breastfeeding, and (d) Ending Breastfeeding. The two supporting subcategories were (a) Vacillating Between the Good Things and Hard Things About Breastfeeding and (b) Social Support and Other Social Influences. Teenage mothers' breastfeeding experiences may be similar to adult women's breastfeeding experiences, but teenage mothers may require additional breastfeeding support.

DIM SUM: demography and individual migration simulated using a Markov chain.

PubMed

Brown, Jeremy M; Savidge, Kevin; McTavish, Emily Jane B

2011-03-01

An increasing number of studies seek to infer demographic history, often jointly with genetic relationships. Despite numerous analytical methods for such data, few simulations have investigated the methods' power and robustness, especially when underlying assumptions have been violated. DIM SUM (Demography and Individual Migration Simulated Using a Markov chain) is a stand-alone Java program for the simulation of population demography and individual migration while recording ancestor-descendant relationships. It does not employ coalescent assumptions or discrete population boundaries. It is extremely flexible, allowing the user to specify border positions, reactions of organisms to borders, local and global carrying capacities, individual dispersal kernels, rates of reproduction and strategies for sampling individuals. Spatial variables may be specified using image files (e.g., as exported from gis software) and may vary through time. In combination with software for genetic marker simulation, DIM SUM will be useful for testing phylogeographic (e.g., nested clade phylogeographic analysis, coalescent-based tests and continuous-landscape frameworks) and landscape-genetic methods, specifically regarding violations of coalescent assumptions. It can also be used to explore the qualitative features of proposed demographic scenarios (e.g. regarding biological invasions) and as a pedagogical tool. DIM SUM (with user's manual) can be downloaded from http://code.google.com/p/bio-dimsum. © 2010 Blackwell Publishing Ltd.

Leave taking and overtime behavior as related to demographic, health, and job variables

NASA Technical Reports Server (NTRS)

Arnoldi, L. B.; Townsend, J. C.

1969-01-01

An intra-installation model is formulated that correlates demographic, health and job related variables to the various types and amounts of leave and overtime taking behavior of employees. Statistical comparison of composite health ratings assigned to subjects based upon clinical criteria and bio-statistical data show that those employees who take the most annual leave as well as sick leave are the ones that have the poorest health ratings; employees who put in the most overtime have also the poorest health records. Stress effects of peak activity periods increase use of sick leave immediately after peak activity but not the use of annual leave.

Resolution of psychosocial crises associated with flying in space

NASA Astrophysics Data System (ADS)

Suedfeld, Peter; Brcic, Jelena

2011-07-01

Erikson (1959) proposed a theoretical basis for healthy psychosocial development. His theory posits eight critical conflict situations throughout one's lifetime, each of which can result in a favorable or unfavorable resolution. Autobiographies, memoirs, interviews, personal diaries, and oral histories of 97 international astronauts were content analyzed to assess reported resolutions of Erikson's psychosocial crises, regardless of chronological sequence. We made comparisons across flight phases (before, during, and after), gender, nationality of home space agency, and flight duration. Astronauts reported more favorable than unfavorable outcomes across flight phases and demographic variables. Differences across demographic variables and flight phases, as well as the changes as a result of the flight are discussed.

Music training, cognition, and personality.

PubMed

Corrigall, Kathleen A; Schellenberg, E Glenn; Misura, Nicole M

2013-01-01

Although most studies that examined associations between music training and cognitive abilities had correlational designs, the prevailing bias is that music training causes improvements in cognition. It is also possible, however, that high-functioning children are more likely than other children to take music lessons, and that they also differ in personality. We asked whether individual differences in cognition and personality predict who takes music lessons and for how long. The participants were 118 adults (Study 1) and 167 10- to 12-year-old children (Study 2). We collected demographic information and measured cognitive ability and the Big Five personality dimensions. As in previous research, cognitive ability was associated with musical involvement even when demographic variables were controlled statistically. Novel findings indicated that personality was associated with musical involvement when demographics and cognitive ability were held constant, and that openness-to-experience was the personality dimension with the best predictive power. These findings reveal that: (1) individual differences influence who takes music lessons and for how long, (2) personality variables are at least as good as cognitive variables at predicting music training, and (3) future correlational studies of links between music training and non-musical ability should account for individual differences in personality.

Kinematic predictors of loading during running differ by demographic group.

PubMed

Harrison, Kathryn; Thakkar, Bhushan; Kwon, Yong Ung; Crosswell, Gregory; Morgan, Jacqueline; Williams, D S Blaise

2018-05-24

To investigate whether previously-determined kinematic predictors of kinetics during running differ between demographic groups. Young male (n = 13, age = 22 (2) yrs), young female (n = 13, age = 25 (4) yrs), older male (n = 13, age = 50 (4) yrs) and older female (n = 13, age = 52 (3) yrs) runners. Sagittal plane kinematics and kinetics were assessed while participants ran at their preferred pace. Linear regression models were developed to predict kinetics in each group using kinematics as independent variables. Step length was positively associated with magnitude of at least one kinetic variable in all groups. Step position was inversely associated with vertical ground reaction force variables in all groups. Step frequency and CoM excursion were also important to all groups, however direction of the associations varied. Foot angle at initial contact was important to all groups except older females. Peak knee flexion was most important to older females, but was not important to any other groups. Optimal parameters for gait analysis of runners may depend on demographics of the individual. This provides insight for clinicians into the most effective evaluation and interventions strategies for different types of runners. Copyright © 2018. Published by Elsevier Ltd.

The impact of geographic, ethnic, and demographic dynamics on the perception of beauty.

PubMed

Broer, Peter Niclas; Juran, Sabrina; Liu, Yuen-Jong; Weichman, Katie; Tanna, Neil; Walker, Marc E; Ng, Reuben; Persing, John A

2014-01-01

Beauty lies in the eyes of the beholder, but influenced by the individual's geographic, ethnic, and demographic background and characteristics. In plastic surgery, objective measurements are used as a foundation for aesthetic evaluations. This study assumes interdependence between variables such as country of residence, sex, age, occupation, and aesthetic perception. Computerized images of a model's face were generated with the ability to alter nasal characteristics and the projection of the lips and chin. A survey containing these modifiable images was sent to more than 13,000 plastic surgeons and laypeople in 50 different countries, who were able to virtually create a face that they felt to be the aesthetically "ideal" and most pleasing. Demographic information about the interviewees was obtained. Values of various aesthetic parameters of the nose were described along with their relationship to geography, demography, and occupation of the respondents. Interregional and ethnic comparison revealed that variables of country of residence, ethnicity, occupation (general public vs surgeon), and sex correlate along a 3-way dimension with the ideal projection of the lips and the chin. Significant interaction effects were found between variables of country of residence or ethnicity with occupation and sex of the respondents. What are considered the "ideal" aesthetics of the face are highly dependent on the individual's cultural and ethnic background and cannot simply and solely be defined by numeric values and divine proportions. As confirmed with this study, ethnic, demographic, and occupational factors impact peoples' perception of beauty significantly.

Influence of economic and demographic factors on quality of life in renal transplant recipients.

PubMed

Chisholm, Marie A; Spivey, Christina A; Nus, Audrey Van

2007-01-01

The purpose of this study was to determine the influence of annual income, Medicare status, and demographic variables on the health-related quality of life (HQoL) of renal transplant recipients. A cross-sectional survey was mailed to 146 Georgia renal transplant recipients who had functional grafts. Data were collected using the SF-12 Health Survey (version 2), a demographics survey, and 2003 tax documents. One-way ANOVAs and Pearson's R correlations were used to examine relationships between annual income, Medicare status, demographic variables and SF-12 scores. Significant variables were included in stepwise multiple regression analyses. Data from 130 participants (89% response rate) were collected. Recipients with no Medicare coverage had significantly higher scores on the Physical Functioning and Role Physical SF-12 scales (p = 0.005) compared to recipients with Medicare. Annual income was positively correlated with General Health (p < 0.05). Age and race were significant predictors of Vitality (p = 0.004) and Physical Component Summary (p < 0.001) scores. Age, race, and Medicare status were significant predictors of Physical Functioning and Role Physical scores (p < 0.001). Age, annual income, race, and years post-transplant were significant predictors of General Health score (p < 0.001). Age was the sole predictor of Bodily Pain score (p = 0.002), and marital status was the sole predictor of Social Functioning score (p = 0.005). Interventions designed to offset financial barriers may be needed to bolster renal transplant recipients' HQoL.

Correlation of global risk assessment with cardiovascular complications in patients with diabetes mellitus living in Puerto Rico.

PubMed

Rodríguez-Vigil, Efraín; Rodríguez-Chacón, Migdalia; Ruiz Valcarcel, José J

2016-01-01

The objective of this study was to assess the current relationship between certain demographics and chemical factors, and the risk of cardiovascular complications, within a Puerto Rican population with diabetes mellitus. A total of 2075 patients with diabetes mellitus were retrospectively evaluated to determine the influence of certain demographics and chemical variables on the appearance of cardiovascular complications. A group of demographic and laboratory variables were analyzed. Our sample was obtained, based on convenience, from an endocrinologist's office in an area of about 250 000 people. All the patients met the American Diabetes Association (ADA) definitions for diabetes mellitus. The study covered a time period of 8 years. The patients signed an informed consent document at their first office visit. Data were obtained by the endocrinologist in charge. We considered the demographic variables of sex, age, time with diabetes, lipid profile, metabolic control (measured with glycated hemoglobin levels), and microalbumin renal excretion. Cardiovascular complications were more prevalent in patients with poor metabolic control, those with prolonged disease duration, men, and patients who were more than 50 years of age. We found no relationship between cardiovascular disease, systolic blood pressure over 130 mm Hg, body mass index and low-density lipoprotein cholesterol levels over 100 mg/dL. In Puerto Rican patients with diabetes mellitus, there is a statistically significant relationship between patient's gender, age, disease duration, glycemic control and increased kidney microalbumin excretion with cardiovascular complications.

Factors Influencing Learner Conceptions of Force: Exploring the Interaction among Visuospatial Ability, Motivation, and Conceptions of Newtonian Mechanics in University Undergraduates from an Evolutionary Perspective

NASA Astrophysics Data System (ADS)

Vallett, David Bruce

This study examined the relationships among visuospatial ability, motivation to learn science, and learner conceptions of force across commonly measured demographics with university undergraduates with the aim of examining the support for an evolved sense of force and motion. Demographic variables of interest included age, ethnicity, and gender, which served to determine the ubiquity of the effects of the exogenous variables. Participants (n=91) self selected from introductory physics courses at a large public university in the Mid-Atlantic region of the United States. Utilizing a single-group exploratory design, all participants completed a series of anonymous online instruments to assess the variables of interest. Analysis consisted of an ANOVA for significance testing of demographic variables and a single-level structural equation model (SEM) to ascertain the causal influence of visuospatial ability and affect in the form of motivation on learner conceptions of force. Results of the SEM indicated that while motivation had a nonsignificant (p>.05) impact with this sample, visuospatial ability had a strong (.5 unit change in physics achievement per unit of VSA, p<.05) influence on Newtonian conceptions of mechanics. The results of this study inform physics educators as to the factors underlying conceptual change in Newtonian physics and generate hypotheses regarding the cognitive processes and corresponding neural substrates associated with successful Newtonian reasoning.

Nutritional ecology of ursids: A review of newer methods and management implications

USGS Publications Warehouse

Robbins, Charles T.; Schwartz, Charles C.; Felicetti, L.A.

2004-01-01

The capability to understand the nutritional ecology of free-ranging bears has increased dramatically in the last 20 years. Advancements have occurred because (1) managers and biologists recognized the need to link habitat quality, productivity, and variability with bear movements, home ranges, and demographic parameters like reproductive output, survival, and population growth, and (2) several research teams are using new methods to build on the results of earlier field studies. Our ability to couple new field methods and empirical field research with controlled experiments using captive bears has been central to our increased understanding of bear nutrition. Newer methods include the use of stable isotopes to quantify assimilated diet and nutrient flows within ecosystems, bioelectrical impedance to measure body composition, and naturally occurring mercury to estimate fish intake. Controlled experiments using captive bears have been integral to developing methods, isolating specific variables by controlling the environment, and providing additional nutritional understanding necessary to interpret field observations. We review new methods and apply our increased understanding of bear nutritional ecology to 3 management issues: (1) the importance of salmon (Oncorhynchus spp.) to brown bears (Ursus arctos) in the Pacific Northwest, (2) the consequences of the closure of the Yellowstone garbage dumps to grizzly bears, and (3) the relocation of problem bears.

Correlation of Airway Hyper-responsiveness with Obstructive with Spirometric Indices and FEV1 90% Predicted

DTIC Science & Technology

2012-04-01

SPSS ver- sion 19.0, SPSS, Chicago, Illinois). Normality was tested for the demographic and PFT variables, and the Student t test or Mann-Whitney U...and no in- dication given (no. 3). Demographics for these groups are shown in Table 1. No statistical differences were noted between groups. PFT... Demographics Overall (n 280) Symptomatic (no. 193) Asymptomatic (no. 87) P* Age, mean SD, y 35.1 15.9 36.2 15.2 32.7 17.1 .01 Male/female, no

Association between social capital, health-related quality of life, and mental health: a structural-equation modeling approach

PubMed Central

Hassanzadeh, Jafar; Asadi-Lari, Mohsen; Baghbanian, Abdolvahab; Ghaem, Haleh; Kassani, Aziz; Rezaianzadeh, Abbas

2016-01-01

Aim To explore the association(s) between demographic factors, socioeconomic status (SES), social capital, health-related quality of life (HRQoL), and mental health among residents of Tehran, Iran. Methods The pooled data (n = 31 519) were extracted from a population-based survey Urban Health Equity Assessment and Response Tool-2 (Urban HEART-2) conducted in Tehran in 2011. Mental health, social capital, and HRQoL were assessed using the 28-item General Health Questionnaire (GHQ-28), social capital questionnaire, and Short-Form Health Survey (SF-12), respectively. The study used a multistage sampling method. Social capital, HRQoL, and SES were considered as latent variables. The association between these latent variables, demographic factors, and mental health was determined by structural-equation modeling (SEM). Results The mean age and mental health score were 44.48 ± 15.87 years and 23.33 ± 11.10 (range, 0-84), respectively. The prevalence of mental disorders was 41.76% (95% confidence interval 41.21-42.30). The SEM model showed that age was directly associated with social capital (P = 0.016) and mental health (P = 0.001). Sex was indirectly related to mental health through social capital (P = 0.018). SES, HRQoL, and social capital were associated both directly and indirectly with mental health status. Conclusion This study suggests that changes in social capital and SES can lead to positive changes in mental health status and that individual and contextual determinants influence HRQoL and mental health. PMID:26935615

Hemodynamics during Dialysis and Cognitive Performance

PubMed Central

Wolfgram, Dawn; Sunio, Lily; Vogt, Elisabeth; Smith, Heather M; Visotcky, Alexis; Laud, Purushottam; Whittle, Jeff

2015-01-01

Background/Aims Persons receiving hemodialysis (HD) are at increased risk of cognitive impairment (CI). Since blood pressure (BP) fluctuations during HD may affect cerebral perfusion – and subsequently cognitive function – we examined the relationship between dialytic BP fluctuation and cognitive outcomes. Methods We included HD patients without diagnosed dementia who were 50 years or older. Using established methods, we classified participants’ in CI categories (none to mild and moderate to severe) based on results of a neurocognitive battery. We collected demographic and laboratory data from dialysis unit records, as well as all BP measurements from 12 dialysis sessions. We tested the association between CI and BP fluctuation, adjusting for demographic and laboratory variables. Results Our study enrolled 39 patients; 25 had moderate to severe CI. The normal to mild CI group and the moderate to severe patients had similar degrees of BP fluctuation (average minimum SBP: 107.6 ± 18.7 vs 110.2 ± 18.6 mmHg, maximum drop in SBP: 32.6 ± 10.2 vs 35.4 ± 15.0 mmHg; proportion of sessions with SBP < 90 mmHg: 0.2 ± 0.3 vs 0.2 ± 0.3; average change in SBP, pre to post HD: 10.2 ± 12.4 vs 11.8 ± 16.4 mmHg, all p > 0.55). There was no association between BP variables and performance on individual cognitive tests. Multivariable analysis showed that older age and non-Caucasian race were associated with a reduction in cognitive scores. Conclusions There was no cross-sectional association between dialytic BP changes and cognitive performance. PMID:25103846

Development and psychometric characteristics of the SCI-QOL Ability to Participate and Satisfaction with Social Roles and Activities item banks and short forms.

PubMed

Heinemann, Allen W; Kisala, Pamela A; Hahn, Elizabeth A; Tulsky, David S

2015-05-01

To develop a spinal cord injury (SCI)-focused version of PROMIS and Neuro-QOL social domain item banks; evaluate the psychometric properties of items developed for adults with SCI; and report information to facilitate clinical and research use. We used a mixed-methods design to develop and evaluate Ability to Participate in Social Roles and Activities and Satisfaction with Social Roles and Activities items. Focus groups helped define the constructs; cognitive interviews helped revise items; and confirmatory factor analysis and item response theory methods helped calibrate item banks and evaluate differential item functioning related to demographic and injury characteristics. Five SCI Model System sites and one Veterans Administration medical center. The calibration sample consisted of 641 individuals; a reliability sample consisted of 245 individuals residing in the community. A subset of 27 Ability to Participate and 35 Satisfaction items demonstrated good measurement properties and negligible differential item functioning related to demographic and injury characteristics. The SCI-specific measures correlate strongly with the PROMIS and Neuro-QOL versions. Ten item short forms correlate >0.96 with the full banks. Variable-length CATs with a minimum of 4 items, variable-length CATs with a minimum of 8 items, fixed-length CATs of 10 items, and the 10-item short forms demonstrate construct coverage and measurement error that is comparable to the full item bank. The Ability to Participate and Satisfaction with Social Roles and Activities CATs and short forms demonstrate excellent psychometric properties and are suitable for clinical and research applications.

Evaluation of an educational program on cervical cancer for rural women in Mangalore, Southern India.

PubMed

Mary, Bright; D'Sa, Juliana Linnette

2014-01-01

Cervical cancer is one of the leading causes of cancer in women worldwide. One way by which the incidence of this malignant disease can be minimized is by imparting knowledge through health education. This study aimed at developing an educational package on cervical cancer (EPCC) and determining its effectiveness in terms of significant increase in knowledge of rural women regarding cervical cancer. A one group pre-test, post-test design was adopted. Thirty rural women were selected using a convenient sampling method. Data were collected using a demographic questionnaire and a structured knowledge questionnaire developed by the researchers. The EPCC was designed for a duration of one hour and 10 minutes. The structured knowledge questionnaire was first administered as the pre-test, following which knowledge on cervical cancer was imparted using the EPCC. On the 8th day, the post-test was administered. Data were analyzed using descriptive and inferential statistics. The mean post-test knowledge score of the women regarding cervical cancer was significantly higher than that of their mean pre-test score, indicating that the EPCC was effective in improving the knowledge of rural women on cervical cancer. The association between pre-test knowledge scores and selected demo-graphic variables were computed using chi-square test showed that pre-test knowledge score of the women regarding cervical cancer was independent of all the socio-demographic variables. It was concluded that the EPCC is effective in improving the knowledge of women, regarding cervical cancer. Since the prevalence of cervical cancer is high, there is an immediate need to educate women on prevention of cervical cancer.

Demographic variables, clinical aspects, and medicolegal implications in a population of patients with adjustment disorder

PubMed Central

Anastasia, Annalisa; Colletti, Chiara; Cuoco, Valentina; Quartini, Adele; Urso, Stefania; Rinaldi, Raffaella; Bersani, Giuseppe

2016-01-01

Introduction Although adjustment disorder (AD) is considered as residual diagnosis and receives little attention in research, it plays an important role in clinical practice and also assumes an increasingly important role in the field of legal medicine, where the majority of diagnostic frameworks (eg, mobbing) often refer to AD. Our study aimed to look for specific stressor differences among demographic and clinical variables in a naturalistic setting of patients with AD. Methods A restrospective statistical analysis of the data of patients diagnosed with AD from November 2009 to September 2012, identified via manual search from the archive of the outpatient setting at the University Unit of Psychiatry “A. Fiorini” Hospital, Terracina (Latina, Italy), was performed. Results The sample consisted of 93 patients (46 males and 47 females), aged between 26 and 85, with medium–high educational level who were mainly employed. In most cases (54.80%), a diagnosis of AD with mixed anxiety and depressed mood was made. In all, 72% of the sample reported a negative family history for psychiatric disorders. In 22.60%, a previous history of psychopathology, especially mood disorders (76.19%), was reported. The main stressors linked to the development of AD were represented by working problems (32.30%), family problems (23.70%), and/or somatic disease (22.60%) with significant differences with respect to age and sex. Half of the patients were subjected to a single first examination; 24.47% requested a copy of medical records. Conclusion Confirming previous data from previous reports, our results suggest that AD may have a distinct profile in demographic and clinical terms. Increased scientific attention is hoped, particularly focused on addressing a better definition of diagnostic criteria, whose correctness and accuracy are critical, especially in situations with medicolegal implications. PMID:27099504

Patient Background Factors Affecting the Therapeutic Outcomes in Response to Eszopiclone in Adult Patients with Chronic Insomnia: A Post Hoc Analysis of a Double-Blind Phase III Study in Japan

PubMed Central

Inoue, Yuichi; Kamijo, Atsushi; Nagai, Reiko

2015-01-01

Study Objective: To identify whether baseline demographic factors or subjective sleep variables are associated with the outcomes following treatment with eszopiclone using data from a recent randomized controlled trial of 78 Japanese subjects with insomnia who were treated with 2 mg eszopiclone per day. Methods: We performed a post hoc analysis of factors including sleep latency (SL), wake time after sleep onset (WASO) (both assessed via sleep diaries), and several demographic variables. Subjects with a SL or WASO > 30 min at baseline and with evaluable SL/WASO data at Week 4 were included in SL and WASO remitter analyses, respectively; those with a SL or WASO ≤ 30 min at Week 4 were defined as SL or WASO remitters, respectively. Threshold baseline SL and WASO values for identification of remitters were determined. Results: No relationships between subjectively assessed therapeutic outcomes and demographic factors were identified. Patients with shorter SL and lower WASO values at baseline showed better outcomes following treatment with eszopiclone in terms of SL and WASO changes, respectively. Baseline SL of 75 min and baseline WASO of 80 min were selected as arbitrary cutoff values for determination of SL and WASO remitters/non-remitters, respectively. Conclusions: These findings may help clinicians to predict their patients' outcomes in response to standard doses of eszopiclone in clinical practice. Citation: Inoue Y, Kamijo A, Nagai R. Patient background factors affecting the therapeutic outcomes in response to eszopiclone in adult patients with chronic insomnia: a post hoc analysis of a double-blind phase III study in Japan. J Clin Sleep Med 2015;11(10):1171–1178. PMID:26094929

Perceptions of Shared Decision Making Among Patients with Spinal Cord Injuries/Disorders.

PubMed

Locatelli, Sara M; Etingen, Bella; Heinemann, Allen; Neumann, Holly DeMark; Miskovic, Ana; Chen, David; LaVela, Sherri L

2016-01-01

Background: Individuals with spinal cord injuries/disorders (SCI/D) are interested in, and benefit from, shared decision making (SDM). Objective: To explore SDM among individuals with SCI/D and how demographics and health and SCI/D characteristics are related to SDM. Method: Individuals with SCI/D who were at least 1 year post injury, resided in the Chicago metropolitan area, and received SCI care at a Veterans Affairs (VA; n = 124) or an SCI Model Systems facility ( n = 326) completed a mailed survey measuring demographics, health and SCI/D characteristics, physical and mental health status, and perceptions of care, including SDM, using the Combined Outcome Measure for Risk Communication and Treatment Decision-Making Effectiveness (COMRADE) that assesses decision-making effectiveness (effectiveness) and risk communication (communication). Bivariate analyses and multiple linear regression were used to identify variables associated with SDM. Results: Participants were mostly male (83%) and White (70%) and were an average age of 54 years ( SD = 14.3). Most had traumatic etiology, 44% paraplegia, and 49% complete injury. Veteran/civilian status and demographics were unrelated to scores. Bivariate analyses showed that individuals with tetraplegia had better effectiveness scores than those with paraplegia. Better effectiveness was correlated with better physical and mental health; better communication was correlated with better mental health. Multiple linear regressions showed that tetraplegia, better physical health, and better mental health were associated with better effectiveness, and better mental health was associated with better communication. Conclusion: SCI/D and health characteristics were the only variables associated with SDM. Interventions to increase engagement in SDM and provider attention to SDM may be beneficial, especially for individuals with paraplegia or in poorer physical and mental health.

Child homicide by parents in Chile: a gender-based study and analysis of post-filicide attempted suicide.

PubMed

Benítez-Borrego, Sonia; Guàrdia-Olmos, Joan; Aliaga-Moore, Alvaro

2013-01-01

The victimization of children has attracted considerable attention over the years. Some authors conceptualize child murder as an intra-familial phenomenon. Over the last 40 years, extensive literature has suggested that there are differences between neonaticide and infanticide, and differential characteristics between filicidal men and women. Although suicide attempts after these crimes have not been as widely studied, there are some distinctive features compared to non-suicidal filicide. The main objective of the current study was to analyze the phenomenon of filicide in the Chilean population. The sample consisted of 98 cases of filicide committed in Chile between 1998 and 2009 that were evaluated in the Area of Mental Health of the Legal Medical Service (LMS) of Santiago, Chile. Forensic reports including psychiatric and psychological evaluations of the perpetrators were reviewed and variables extracted. Bivariate analyses were used to determine differences between male and female filicide perpetrators and the possible differences between the presence and absence of a suicide attempt following filicide on selected demographic, situational, and psychopathological variables. Then, logistic regression was used to identify which of the variables may be relevant (significant predictors) to the presence of a suicide attempt following the commission of an infanticide. Analysis of the data revealed differences between filicidal men and women with regard to demographic characteristics, but the differences in psychopathological factors and variables that were related to the crimes were minor. A comparative analysis of the filicide perpetrators based on post-crime suicide attempts did not find significant differences between groups. In addition, a predictive analysis of suicidal behavior concludes that individual variables (such as the level of education of the person committing infanticide and the method used for the homicide) are not sufficient to explain the entire phenomenon by themselves. Copyright © 2012 Elsevier Ltd. All rights reserved.

Temporal, spatial, and environmental influences on the demographics of grizzly bears in the Greater Yellowstone Ecosystem

USGS Publications Warehouse

Schwartz, Charles C.; Haroldson, Mark A.; White, Gary C.; Harris, Richard B.; Cherry, Steve; Keating, Kim A.; Moody, Dave; Servheen, Christopher

2006-01-01

During the past 2 decades, the grizzly bear (Ursus arctos) population in the Greater Yellowstone Ecosystem (GYE) has increased in numbers and expanded in range. Understanding temporal, environmental, and spatial variables responsible for this change is useful in evaluating what likely influenced grizzly bear demographics in the GYE and where future management efforts might benefit conservation and management. We used recent data from radio-marked bears to estimate reproduction (1983–2002) and survival (1983–2001); these we combined into models to evaluate demographic vigor (lambda [λ]). We explored the influence of an array of individual, temporal, and spatial covariates on demographic vigor.

Spatial variability of the effect of air pollution on term birth weight: evaluating influential factors using Bayesian hierarchical models.

PubMed

Li, Lianfa; Laurent, Olivier; Wu, Jun

2016-02-05

Epidemiological studies suggest that air pollution is adversely associated with pregnancy outcomes. Such associations may be modified by spatially-varying factors including socio-demographic characteristics, land-use patterns and unaccounted exposures. Yet, few studies have systematically investigated the impact of these factors on spatial variability of the air pollution's effects. This study aimed to examine spatial variability of the effects of air pollution on term birth weight across Census tracts and the influence of tract-level factors on such variability. We obtained over 900,000 birth records from 2001 to 2008 in Los Angeles County, California, USA. Air pollution exposure was modeled at individual level for nitrogen dioxide (NO2) and nitrogen oxides (NOx) using spatiotemporal models. Two-stage Bayesian hierarchical non-linear models were developed to (1) quantify the associations between air pollution exposure and term birth weight within each tract; and (2) examine the socio-demographic, land-use, and exposure-related factors contributing to the between-tract variability of the associations between air pollution and term birth weight. Higher air pollution exposure was associated with lower term birth weight (average posterior effects: -14.7 (95 % CI: -19.8, -9.7) g per 10 ppb increment in NO2 and -6.9 (95 % CI: -12.9, -0.9) g per 10 ppb increment in NOx). The variation of the association across Census tracts was significantly influenced by the tract-level socio-demographic, exposure-related and land-use factors. Our models captured the complex non-linear relationship between these factors and the associations between air pollution and term birth weight: we observed the thresholds from which the influence of the tract-level factors was markedly exacerbated or attenuated. Exacerbating factors might reflect additional exposure to environmental insults or lower socio-economic status with higher vulnerability, whereas attenuating factors might indicate reduced exposure or higher socioeconomic status with lower vulnerability. Our Bayesian models effectively combined a priori knowledge with training data to infer the posterior association of air pollution with term birth weight and to evaluate the influence of the tract-level factors on spatial variability of such association. This study contributes new findings about non-linear influences of socio-demographic factors, land-use patterns, and unaccounted exposures on spatial variability of the effects of air pollution.

Domestic violence: a hidden barrier to contraceptive use among women in Nigeria.

PubMed

Bishwajit, Ghose; Yaya, Sanni

2018-01-01

The nonuse of family planning methods remains a major public health concern in the low-and-middle-income countries, especially due to its impact on unwanted pregnancy, high rate of abortion, and transmission of sexually transmitted diseases. Various demographic and socioeconomic factors have been reported to be associated with the nonuse of family planning methods. In the present study, we aimed at assessing the influence of domestic violence (DV) on contraceptive use among ever married women in Nigeria. Data on 22,275 women aged between 15 and 49 years were collected from the most recent Nigeria Demographic and Health Survey conducted in 2013. The outcome variable was contraceptive utilization status, and the main exposure variable was DV, which was assessed by the self-reported experience of physical and psychological abuse. Complex survey method was employed to account for the multistage design of the survey. Data analyses were performed by using bivariate and multivariable techniques. The mean age of the participants was 31.33±8.26. More than four fifths (84%) of the participants reported that they were not using any contraceptive methods at all. Lifetime prevalence of psychological and physical abuse was, respectively, 19.0% (95% CI =18.0-20.1) and 14.1% (95% CI =13.3-14.9). Women who reported physical abuse were 28% (adjusted odds ratio [AOR] =1.275; 95% CI =1.030-1.578), and those reported both physical and psychological abuse had 52% (AOR =1.520; 95% CI =1.132-2.042) higher odds of not using any contraception. The rate of contraception nonuse was considerably high and was found to be significantly associated with DV. Thus, the high prevalence of DV may compromise the effectiveness of the family planning programs in the long run. Evidence-based intervention strategies should be developed to protect the health and reproductive rights of the vulnerable women and to reduce DV by giving the issue a wider recognition in public policy making.

Predictors of Sun-Protective Practices among Iranian Female College Students: Application of Protection Motivation Theory.

PubMed

Dehbari, Samaneh Rooshanpour; Dehdari, Tahereh; Dehdari, Laleh; Mahmoudi, Maryam

2015-01-01

Given the importance of sun protection in the prevention of skin cancer, this study was designed to determine predictors of sun-protective practices among a sample of Iranian female college students based on protection motivation theory (PMT) variables. In this cross-sectional study, a total of 201 female college students in Iran University of Medical Sciences were selected. Demographic and PMT variables were assessed with a 67-item questionnaire. Multiple linear regression was used to identify demographic and PMT variables that were associated with sun-protective practices and intention. one percent of participants always wore a hat with a brim, 3.5% gloves and 15.9% sunglasses while outdoors. Only 10.9% regularly had their skin checked by a doctor. Perceived rewards, response efficacy, fear, self-efficacy and marital status were the five variables which could predict 39% variance of participants intention to perform sun-protective practices. Also, intention and response cost explained 31% of the variance of sun-protective practices. These predictive variables may be used to develop theory-based education interventions interventions to prevent skin cancer among college students.

The impact of physician payment methods on raising the efficiency of the healthcare system: an international comparison.

PubMed

Simoens, Steven; Giuffrida, Antonio

2004-01-01

This article reviews policies on physician payment methods that Organisation for Economic Cooperation and Development (OECD) countries have implemented to promote an efficient deployment of physicians. Countries' experiences show that payment by fee-for-service, capitation and salary influences physician activity levels and productivity. However, the impact of these simple payment methods is complex and may be diluted by clinical, demographic, ethical and organisational factors. Policies that have attempted to curb health expenditure by controlling fee levels have sometimes been eroded by physicians increasing the volume of service supply, or providing services that attract higher fees. Flexible blended payment methods based on the combination of a fixed component, through either capitation or salary, and a variable component, through fee-for-service, may produce a desirable mix of incentives. Integrating such blended payment methods with mechanisms to monitor physician activity may offer potential success.

Correlational analysis and predictive validity of psychological constructs related with pain in fibromyalgia

PubMed Central

2011-01-01

Background Fibromyalgia (FM) is a prevalent and disabling disorder characterized by a history of widespread pain for at least three months. Pain is considered a complex experience in which affective and cognitive aspects are crucial for prognosis. The aim of this study is to assess the importance of pain-related psychological constructs on function and pain in patients with FM. Methods Design Multicentric, naturalistic, one-year follow-up study. Setting and study sample. Patients will be recruited from primary care health centres in the region of Aragon, Spain. Patients considered for inclusion are those aged 18-65 years, able to understand Spanish, who fulfil criteria for primary FM according to the American College of Rheumatology, with no previous psychological treatment. Measurements The variables measured will be the following: main variables (pain assessed with a visual analogue scale and with sphygmomanometer and general function assessed with Fibromyalgia Impact Questionnaire, and), psychological constructs (pain catastrophizing, pain acceptance, mental defeat, psychological inflexibility, perceived injustice, mindfulness, and positive and negative affect), and secondary variables (sociodemographic variables, anxiety and depression assessed with Hospital Anxiety and Depression Scale, and psychiatric interview assessed with MINI). Assessments will be carried at baseline and at one-year follow-up. Main outcome Pain Visual Analogue Scale. Analysis The existence of differences in socio-demographic, main outcome and other variables regarding pain-related psychological constructs will be analysed using Chi Square test for qualitative variables, or Student t test or variance analysis, respectively, for variables fulfilling the normality hypothesis. To assess the predictive value of pain-related psychological construct on main outcome variables at one-year follow-up, use will be made of a logistic regression analysis adjusted for socio-demographic and clinical variables. A Spearman Rho non-parametric correlation matrix will be developed to determine possible overlapping between pain-related psychological constructs. Discussion In recent years, the relevance of cognitive and affective aspects for the treatment of chronic pain, not only in FM but also in other chronic pain diseases, has been widely acknowledged. However, the relative importance of these psychological constructs, the relationship and possible overlapping between them, or the exact meaning of them in pain are not enough known. PMID:21214948

Time delays, population, and economic development

NASA Astrophysics Data System (ADS)

Gori, Luca; Guerrini, Luca; Sodini, Mauro

2018-05-01

This research develops an augmented Solow model with population dynamics and time delays. The model produces either a single stationary state or multiple stationary states (able to characterise different development regimes). The existence of time delays may cause persistent fluctuations in both economic and demographic variables. In addition, the work identifies in a simple way the reasons why economics affects demographics and vice versa.

Effects of Demographic Variables, Perceived Spousal Support, and Gender Role Attitudes on Taiwanese Women's Employability

ERIC Educational Resources Information Center

Lu, Luo

2011-01-01

The aim of this research was to explore demographic, familial, and attitudinal correlates of Taiwanese women's employment status. Using data from a representative nationwide sample of female workers aged 21 and above (N = 1,047), the author found that (a) the employment rate of females decreased steadily with age, with no sign of reentry into the…

Predicting the Influence of Demographic Differences and Schooling Experience in Adolescence on Occupational Choice in Adulthood

ERIC Educational Resources Information Center

Fletcher, Edward C., Jr.

2012-01-01

The purpose of this study was to predict occupational choices based on demographic variables and high school curriculum tracks. Based on an analysis of the 1997 National Longitudinal Survey of Youth (NLSY) data set that examined high school graduates' occupational choices in 2006, findings indicated that CTE graduates were 2.7 times more likely to…

Undergraduate Learners' Perceptions of Blended Learning and its Relationship with Some Demographic and Experiential Variables at the Arab Open University--Bahrain Branch

ERIC Educational Resources Information Center

Juma Shehab, Samya Ali

2007-01-01

This research focused on the undergraduate learners' perceptions of blended learning at the Arab Open University--Bahrain Branch (AOU-BH). It also focused on factors that influence learners' perceptions and examined the relationships between learners' perceptions and their particular demographic characteristics (age, gender, educational level,…

Demographic Profile of U.S. Children: National File [Machine-Readable Data File].

ERIC Educational Resources Information Center

Peterson, J. L.; White, R. N.

These two computer files contain social and demographic data about U.S. children and their families taken from the March 1985 Current Population Survey of the U.S. Census. One file is for all children; the second file is for black children. The following column variables are included: (1) family structure; (2) parent educational attainment; (3)…

Socio-demographic patterns of disability among older adult populations of low-income and middle-income countries: results from World Health Survey.

PubMed

Hosseinpoor, Ahmad Reza; Bergen, Nicole; Kostanjsek, Nenad; Kowal, Paul; Officer, Alana; Chatterji, Somnath

2016-04-01

Our objective was to quantify disability prevalence among older adults of low- and middle-income countries, and measure socio-demographic distribution of disability. World Health Survey data included 53,447 adults aged 50 or older from 43 low- and middle-income countries. Disability was a binary classification, based on a composite score derived from self-reported functional difficulties. Socio-demographic variables included sex, age, marital status, area of residence, education level, and household economic status. A multivariate Poisson regression model with robust variance was used to assess associations between disability and socio-demographic variables. Overall, 33.3 % (95 % CI 32.2-34.4 %) of older adults reported disability. Disability was 1.5 times more common in females, and was positively associated with increasing age. Divorced/separated/widowed respondents reported higher disability rates in all but one study country, and education and wealth levels were inversely associated with disability rates. Urban residence tended to be advantageous over rural. Country-level datasets showed disparate patterns. Effective approaches aimed at disability prevention and improved disability management are warranted, including the inclusion of equity considerations in monitoring and evaluation activities.

Trends and determinants of condom use in Uganda.

PubMed

De Coninck, Zaake; Marrone, Gaetano

2012-01-01

Documenting trends in condom use and exploring factors associated with their utilization are important for broadening the information base for the design of HIV intervention programs. This paper aims to document Uganda's nationwide trends in condom use from 1995 to 2006 and seeks to understand some of the socio-demographic variables that may be associated with their use, using Uganda Demographic Health Surveys (UDHSs). Data from UDHSs conducted in 1995, 2000/2001 and 2006 were analyzed. Socio-demographic variables as well as 'survey year' were selected to assess their interaction with condom use. Multivariate regression analyses were performed. Odds ratios and confidence intervals were computed. Socio-demographic factors such as being male and living in an urban setting were significantly associated with an increased likelihood of reported use of condoms. All results indicated a far greater increase in condom use between 1995 and 2000/2001 than between 2000/2001 and 2006. Policies need to intensify condom use campaigns especially among women and rural populations. The wane in increase in condom use between 2000/2001 and 2006 may be due to the large-scale influx of antiretrovirals (starting in 2004) which may be lowering the anxiety associated with the social construct of HIV/AIDS.

Impact of demographic, behavioral, and dental care utilization parameters on tooth color and personal satisfaction.

PubMed

Odioso, L L; Gibb, R D; Gerlach, R W

2000-01-01

A cross-sectional survey across broad age ranges was conducted to evaluate demographic, behavioral, and treatment parameters that impact tooth color and its perception. The sample included 180 US adults and teenagers, with a comparable representation of males and females in 6 different age strata, ranging from 13 to 64 years. Tooth color (L*a*b*) was measured on the maxillary central incisors using a spectrophotometer, and first-person satisfaction with tooth color was assessed using a five-point qualitative scale. Demographic, behavioral, and oral care parameters were modeled using multiple regression analysis. After adjusting for other explanatory variables, age, gender, coffee/tea consumption, and dental care all significantly affected yellowing (b*) and brightness (L*). Dental-visit frequency was the only factor that significantly predicted self-satisfaction with tooth color, explaining just 3% of the overall variability. First-person dissatisfaction with tooth color was common and found in most demographic and behavioral cohorts. Although age contributed to objectively measured tooth discoloration, personal satisfaction with tooth color was age-independent. These results suggest that the need or demand for esthetic dentistry may be broad-based and transcend stereotypical perceptions.

Violent Death Reporting in Maryland: Demographic Variability in Data Completeness.

PubMed

Smith, Meghan L; Akinyemi, Adebola A; Stanley, Jennifer L; Mitchell, Clifford S

2017-10-01

To analyze the completeness of precipitating circumstance information recorded in the Maryland Violent Death Reporting System and identify limitations that could affect the system's utility. We reviewed all violent deaths among Maryland residents for the years 2003 through 2014 (n = 19 161). We assessed the presence of precipitating circumstance data (abstracted from medical examiner and police reports) by manner of death and demographic characteristics. We further evaluated homicide records with multivariable regression. Demographic variation in circumstance reporting was most pronounced for homicide. Circumstances were known for 53.2% of homicide cases, and this percentage was lower among non-Latino Blacks (48.2%), males (50.7%), those aged 18 to 25 years (47.9%), those residing in jurisdictions with higher-than-average homicide rates (46.1%), and those who died outside in a public place (43.4%) or in a correctional facility (48.9%). With the exception of male gender, these factors were significantly associated with circumstance reporting when we controlled for demographic and situational variables. Circumstance reporting was least likely among groups most at risk for homicide in Maryland. Collection of circumstance data for the most affected groups should be strengthened to help develop better prevention strategies.

The Impacts of Demographic Variables on Technological and Contextual Challenges of E-learning Implementation

NASA Astrophysics Data System (ADS)

Aldowah, Hanan; Ghazal, Samar; Naufal Umar, Irfan; Muniandy, Balakrishnan

2017-09-01

Information technology has achieved robust growth which has made it possible for learning to occur quickly. The rapid development of information, communication and technologies (ICT) has initiated an unparalleled transformation in universities all over the world. This development of technology and learning is offering new techniques to represent knowledge, new practices, and new global communities of learners. As a result, today’s economic and social changes force universities to try to find new learning approaches and systems. E-learning seems to be an appropriate approach in this aspect. However, the implementation of e-learning systems in universities is not an easy task because of some challenges related to context, technology, and other challenges. This paper studied the impacts of demographic data and reported the critical points for the decision makers to consider when planning and implementing e-learning in universities. A quantitative approach was used to study the effects of technological and contextual challenges on e-learning implementation in which a questionnaire was used for the data collection. According to the findings of the study, the most important challenges of the implementation of e-learning are related either to organizational (Contextual) and technological (technical) issues. The demographic variables have been found to play a direct and indirect role with the technological and contextual challenges of implementing e-learning. This paper showed that there are some significant differences in the two challenges faced by instructors in terms of the demographic variables. The result revealed that some significant differences exist between demographic variables and the two challenges of e-learning in terms of gender, age, teaching experience, ICT experience and e-learning experience. However, there is no significant difference in terms of e-learning experience. The obtained data, from such study, can provide information about what academic institutions can do before implementing e-learning to reduce and overcome the challenges in implementing e-learning in universities. So, university administrators interested in implementing e-learning should recognize the challenges that their instructors are facing and to provide the necessary policy and support to help overcome these challenges.

Reproductive responses of northern goshawks to variable prey populations

Treesearch

Susan R. Salafsky; Richard T. Reynolds; Barry R. Noon; John A. Wiens

2007-01-01

Developing comprehensive conservation strategies requires knowledge of factors influencing population growth and persistence. Although variable prey resources are often associated with fluctuations in raptor demographic parameters, the mechanisms of food limitation are poorly understood, especially for a generalist predator like the northern goshawk (Accipiter...

Analysis of covariance as a remedy for demographic mismatch of research subject groups: some sobering simulations.

PubMed

Adams, K M; Brown, G G; Grant, I

1985-08-01

Analysis of Covariance (ANCOVA) is often used in neuropsychological studies to effect ex-post-facto adjustment of performance variables amongst groups of subjects mismatched on some relevant demographic variable. This paper reviews some of the statistical assumptions underlying this usage. In an attempt to illustrate the complexities of this statistical technique, three sham studies using actual patient data are presented. These staged simulations have varying relationships between group test performance differences and levels of covariate discrepancy. The results were robust and consistent in their nature, and were held to support the wisdom of previous cautions by statisticians concerning the employment of ANCOVA to justify comparisons between incomparable groups. ANCOVA should not be used in neuropsychological research to equate groups unequal on variables such as age and education or to exert statistical control whose objective is to eliminate consideration of the covariate as an explanation for results. Finally, the report advocates by example the use of simulation to further our understanding of neuropsychological variables.

Childhood malnutrition in Egypt using geoadditive Gaussian and latent variable models.

PubMed

Khatab, Khaled

2010-04-01

Major progress has been made over the last 30 years in reducing the prevalence of malnutrition amongst children less than 5 years of age in developing countries. However, approximately 27% of children under the age of 5 in these countries are still malnourished. This work focuses on the childhood malnutrition in one of the biggest developing countries, Egypt. This study examined the association between bio-demographic and socioeconomic determinants and the malnutrition problem in children less than 5 years of age using the 2003 Demographic and Health survey data for Egypt. In the first step, we use separate geoadditive Gaussian models with the continuous response variables stunting (height-for-age), underweight (weight-for-age), and wasting (weight-for-height) as indicators of nutritional status in our case study. In a second step, based on the results of the first step, we apply the geoadditive Gaussian latent variable model for continuous indicators in which the 3 measurements of the malnutrition status of children are assumed as indicators for the latent variable "nutritional status".

Perceived levels of burnout of Veterans Administration therapeutic recreation personnel.

PubMed

Wade-Campbell, K N; Anderson, S C

1987-01-01

This study investigated the relationship between work-related variables and perceived levels of burnout of therapeutic recreation personnel who work with long-term psychiatric patients in Veterans Administration hospitals. Subjects completed a three-part instrument composed of a demographic questionnaire, the Maslach Burnout Inventory and the Work Environment Scale. Of the 511 subjects surveyed, 287 (56%) responded with usable questionnaires. The demographic, job- and profession-related variables were found to be significantly related to burnout. The eta values were somewhat low. The WES variables accounted for 20.9% of the variance in the burnout measures. The WES variables accounted for 20.9% of the variance in the burnout measures. The most salient relationships emerged between the emotional exhaustion and the depersonalization subscales and clarity, supervisor support, involvement, work pressure, autonomy, innovation, peer cohesion, task orientation and physical comfort. In comparison with other groups of human service professionals, therapeutic recreation personnel experienced low levels of emotional exhaustion, moderate levels of depersonalization, and somewhat lower levels of personal accomplishment.

Weighting Test Samples in IRT Linking and Equating: Toward an Improved Sampling Design for Complex Equating. Research Report. ETS RR-13-39

ERIC Educational Resources Information Center

Qian, Jiahe; Jiang, Yanming; von Davier, Alina A.

2013-01-01

Several factors could cause variability in item response theory (IRT) linking and equating procedures, such as the variability across examinee samples and/or test items, seasonality, regional differences, native language diversity, gender, and other demographic variables. Hence, the following question arises: Is it possible to select optimal…

Longitudinal Surveys of Australian Youth (LSAY): 1995 Cohort--User Guide. Data Elements A: Demographics. Technical Report 49A

ERIC Educational Resources Information Center

National Centre for Vocational Education Research (NCVER), 2012

2012-01-01

This technical paper contains information about the variables in the LSAY (Longitudinal Surveys of Australian Youth) Y95 cohort data set. It groups each variable into data elements which identifies common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and relevant…

Perceived exercise self-efficacy as a predictor of exercise behavior in individuals aging with spinal cord injury.

PubMed

Kroll, Thilo; Kratz, Anna; Kehn, Matthew; Jensen, Mark P; Groah, Suzanne; Ljungberg, Inger H; Molton, Ivan R; Bombardier, Charles

2012-08-01

The purpose of this study was to test the hypothesized association between exercise self-efficacy and exercise behavior, controlling for demographic variables and clinical characteristics, in a sample of individuals with spinal cord injuries. A cross-sectional national survey of 612 community-dwelling adults with spinal cord injury in the United States ranging from 18 to 89 yrs of age was conducted. Sample consisted of 63.1% men with a mean (SD) duration of 15.8 (12.79) yrs postinjury; 86.3% reported using a wheelchair. Self-efficacy was the only independent variable that consistently predicted all four exercise outcomes. Self-efficacy beliefs were significantly related to frequency and intensity of resistance training (R(2) change = 0.08 and 0.03, respectively; P < 0.01 for all) and aerobic training (R(2) change = 0.07 and 0.05, respectively; P < 0.01 for all), thus explaining between 3% and 8% of the variance. Hierarchical linear regression analysis revealed that controlling for other demographic and physical capability variables, the age-related variables made statistically significant contributions and explained between 1% and 3% of the variance in aerobic exercise frequency and intensity (R(2) change = 0.01 and 0.03, respectively; P < 0.01 for all). Clinical functional characteristics but not demographic variables explained participation in resistance exercise. Self-efficacy beliefs play an important role as predictors of exercise. Variations in exercise intensity along the age continuum have implications for exercise prescription and composition. Future research should replicate findings with objective activity measures.

Combining clinical variables to optimize prediction of antidepressant treatment outcomes.

PubMed

Iniesta, Raquel; Malki, Karim; Maier, Wolfgang; Rietschel, Marcella; Mors, Ole; Hauser, Joanna; Henigsberg, Neven; Dernovsek, Mojca Zvezdana; Souery, Daniel; Stahl, Daniel; Dobson, Richard; Aitchison, Katherine J; Farmer, Anne; Lewis, Cathryn M; McGuffin, Peter; Uher, Rudolf

2016-07-01

The outcome of treatment with antidepressants varies markedly across people with the same diagnosis. A clinically significant prediction of outcomes could spare the frustration of trial and error approach and improve the outcomes of major depressive disorder through individualized treatment selection. It is likely that a combination of multiple predictors is needed to achieve such prediction. We used elastic net regularized regression to optimize prediction of symptom improvement and remission during treatment with escitalopram or nortriptyline and to identify contributing predictors from a range of demographic and clinical variables in 793 adults with major depressive disorder. A combination of demographic and clinical variables, with strong contributions from symptoms of depressed mood, reduced interest, decreased activity, indecisiveness, pessimism and anxiety significantly predicted treatment outcomes, explaining 5-10% of variance in symptom improvement with escitalopram. Similar combinations of variables predicted remission with area under the curve 0.72, explaining approximately 15% of variance (pseudo R(2)) in who achieves remission, with strong contributions from body mass index, appetite, interest-activity symptom dimension and anxious-somatizing depression subtype. Escitalopram-specific outcome prediction was more accurate than generic outcome prediction, and reached effect sizes that were near or above a previously established benchmark for clinical significance. Outcome prediction on the nortriptyline arm did not significantly differ from chance. These results suggest that easily obtained demographic and clinical variables can predict therapeutic response to escitalopram with clinically meaningful accuracy, suggesting a potential for individualized prescription of this antidepressant drug. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Fall in homicides in the City of São Paulo: an exploratory analysis of possible determinants

PubMed Central

Peres, Maria Fernanda Tourinho; de Almeida, Juliana Feliciano; Vicentin, Diego; Cerda, Magdalena; Cardia, Nancy; Adorno, Sérgio

2012-01-01

Throughout the first decade of the 2000s the homicide mortality rate (HMR) showed a significant reduction in the state and the city of São Paulo (MSP). The aim of this study is to describe the trend of HMR, socio-demographic indicators, and the investment in social and public security, and to analyze the correlation between HMR and independent variables in the MSP between 1996 and 2008. An exploratory time series ecological study was conducted. The following variables were included: HMR per 100,000 inhabitants, socio-demographic indicators, and investments in social and public security. The moving-averages for all variables were calculated and trends were analyzed through Simple Linear Regression models. Annual percentage changes, the average annual change and periodic percentage changes were calculated for all variables, and the associations between annual percentage changes were tested by Spearman’s correlation analysis. Correlations were found for the proportion of youth in the population (r = 0.69), unemployment rate (r = 0.60), State budget for education and culture (r = 0.87) and health and sanitation (r = 0.56), municipal (r = 0.68) and State (r = 0.53) budget for Public Security, firearms seized (r = 0.69) and the incarceration rate (r = 0.71). The results allow us to support the hypothesis that demographic changes, acceleration of the economy, in particular the fall in unemployment, investment in social policies and changes in public security policies act synergistically to reduce HMR in São Paulo. Complex models of analysis, incorporating the joint action of different potential explanatory variables, should be developed. PMID:22218669

The association of military discharge variables with smoking status among homeless Veterans.

PubMed

Hammett, Patrick; Fu, Steven S; Lando, Harry A; Owen, Greg; Okuyemi, Kolawale S

2015-12-01

There is a dearth of research examining the health correlates of tobacco use within the homeless population, particularly with respect to homeless Veterans. An aim of the present study was to compare homeless Veteran and homeless non-Veteran smokers across a series of socio-demographic and health variables, and to determine whether any of these variables were independently associated with Veteran status. A subsequent aim was to compare the socio-demographic and health profiles of Veteran smokers and Veteran nonsmokers, and to determine whether any of these variables were independently associated with current smoking. Data were obtained from the 2009 Homelessness in Minnesota survey conducted by the Wilder Research Foundation. The final sample included 4750 homeless individuals living throughout Minnesota. The prevalence of smoking was greater among homeless Veterans (74%) than homeless non-Veterans (70%). The prevalence of physical and mental health problems was higher among homeless Veteran smokers than homeless non-Veteran smokers, although these variables were not independently associated with Veteran status after controlling for socio-demographics. Analyses of the homeless Veteran sample indicated that receipt of Veterans' benefits, type of discharge, and alcohol and/or chemical dependence were independently associated with current smoking. Homeless Veteran smokers exhibit heightened rates of physical and mental health problems compared to homeless non-Veteran smokers. Military service and discharge characteristics may contribute to this high smoking prevalence. Future efforts should focus on increasing Veterans' access to and knowledge of Veterans' health resources, and on developing innovative strategies to boost cessation in this population. Copyright © 2015 Elsevier Inc. All rights reserved.

Demographic, clinical, and quality of life variables related to embarrassment in veterans living with an intestinal stoma.

PubMed

Mitchell, Kimberly A; Rawl, Susan M; Schmidt, C Max; Grant, Marcia; Ko, Clifford Y; Baldwin, Carol M; Wendel, Christopher; Krouse, Robert S

2007-01-01

The study aims were to identify demographic, clinical, and quality of life variables related to embarrassment for people living with ostomies and to determine the experiences and/or feelings of veterans who were embarrassed by their ostomy. This was a cross-sectional, correlational study. A convenience sample of veterans (n = 239) living with ostomies from 3 VA medical centers was studied. The veterans were primarily Caucasian (84%), male (92%), and older (M = 69). The modified City of Hope Quality of Life-Ostomy questionnaire was used. Additionally, an open-ended question related to living with an ostomy was asked. The questionnaire packets were mailed to participants and self-administered. Approximately half of the participants (48%) rated their embarrassment as low, but 26% reported high embarrassment. Participants with high embarrassment were compared to those with low embarrassment on demographic, clinical, and quality of life variables. High embarrassment was associated with poorer total quality of life (P < .001) and poorer quality of life on the physical (P < .001), psychological (P < .001), social (P < .001), and spiritual (P < .001) subscales. Younger (P < .001) and unpartnered veterans (P < .001) were more likely to be highly embarrassed. Veterans with high embarrassment had higher anxiety (P < .001) and depression (P < .001), more difficulty with intimacy (P < .001), and felt more isolated (P < .001). Spiritual domain variables like hopefulness were associated with low embarrassment (P < .001). Sources of embarrassment included leakage, odor, and noise. Embarrassment may negatively impact a person's quality of life; therefore, the variables associated with high embarrassment should be recognized and addressed.

Sexual cognitive predictors of sexual communication in junior college adolescents: medical student perspectives.

PubMed

Lou, Jiunn-Horng; Chen, Sheng-Hwang; Yu, Hsing-Yi; Lin, Yen-Chin; Li, Ren-Hau

2010-12-01

Further understanding the relationship between sexual cognition and sexual communication in adolescents may facilitate sexual health promotion in this population. This study was designed to investigate associations between sexual cognitive variables and sexual communication in adolescents. This study used a cross-sectional research design with conventional sampling. Data were collected from one medical college in central Taiwan. A total of 900 questionnaires were dispatched, with 748 copies returned, giving a response rate of 83.1%. Structural questionnaires were designed to collect demographic data, sexual self-concept inventory, sexual risk cognition, sexual self-efficacy, and sexual communication scale. This study applied statistical methods, including descriptive statistics, Pearson product-moment correlation, and multiple regression analysis. Major findings revealed that (a) adolescents talked about sexual activity and sexual issues with their parents at a moderate level (mean = 2.52, SD = 1.24), (b) all sexual cognitive variables (sexual self-concept, sexual risk cognitions, and sexual self-efficacy) correlated positively with sexual communication, and (c) predictors of sexual communication were supported by demographic data (having heterosexual friends, satisfaction with heterosexual friends, and duration of relationships with heterosexual friends) and sexual cognitive variables, which accounted for 62.0% of variance. Study results can contribute to the development of safe sexual health programs and improve healthcare provider knowledge of sexual communication among adolescents. More sexual communication between adolescents and their parents is encouraged. Moreover, sexual health programs must give increased focus on the issue of adolescent sexual cognition to help encourage increased discussion between adolescents and their parents regarding sexual activity and issues.

What are the predictor variables of social well-being among the medical science students?

PubMed

Javadi-Pashaki, Nazila; Darvishpour, Azar

2018-01-01

Individuals with social well-being can cope more successfully with major problems of social roles. Due to the social nature of human life, it cannot be ignored to pay attention the social aspect of health. The purpose of this study was to identify variables that predict the social well-being of medical students. A descriptive-analytical study was conducted on 489 medical science students of Gilan Province, the North of Iran, during May to September 2016. The samples were selected using quota sampling method. Research instrument was a questionnaire consisting of two parts: demographic section and Keyes social well-being questionnaire. Data analysis was done using SPSS software version 19 and with descriptive and inferential statistics (t-test, ANOVA, and linear regression). The results showed that majority of the students had average social well-being. Furthermore, a significant relationship between the academic degree ( P = 0.009), major ( P = 0.0001), the interest and field's satisfaction ( P = 0.0001), and social well-being was seen. The results of linear regression model showed that four variables (academic degree, major, group membership, and the interest and field's satisfaction) were significantly associated with the social well-being ( P < 0.05). The findings demonstrate that the different effects of the demographic factors on social well-being and the need for further consideration of these factors are obvious. Thus, health and education authorities are advised to pay attention students' academic degree, major, group membership, and the interest and field's satisfaction to upgrade and maintain the level of their social well-being.

Trajectories of Evening Fatigue in Oncology Outpatients Receiving Chemotherapy

PubMed Central

Wright, Fay; Melkus, Gail D’Eramo; Hammer, Marilyn; Schmidt, Brian L.; Knobf, M. Tish; Paul, Steven M.; Cartwright, Frances; Mastick, Judy; Cooper, Bruce A.; Chen, Lee-May; Melisko, Michelle; Levine, Jon D.; Kober, Kord; Aouizerat, Bradley E.; Miaskowski, Christine

2015-01-01

Context Fatigue is a distressing, persistent sense of physical tiredness that is not proportional to a person’s recent activity. Fatigue impacts patients’ treatment decisions and can limit their self-care activities. While significant interindividual variability in fatigue severity has been noted, little is known about predictors of interindividual variability in initial levels and trajectories of evening fatigue severity in oncology patients receiving chemotherapy (CTX). Objectives To determine whether demographic, clinical, and symptom characteristics were associated with initial levels as well as the trajectories of evening fatigue. Methods A sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (N=586) completed demographic and symptom questionnaires a total of six times over two cycles of CTX. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling (HLM) was used to answer the study objectives. Results A large amount of interindividual variability was found in the evening fatigue trajectories. A piecewise model fit the data best. Patients who were White, diagnosed with breast, gynecological, or lung cancer, and who had more years of education, child care responsibilities, lower functional status, and higher levels of sleep disturbance and depression reported higher levels of evening fatigue at enrollment. Conclusion This study identified both non-modifiable (e.g., ethnicity) and modifiable (e.g., child care responsibilities, depressive symptoms, sleep disturbance) risk factors for more severe evening fatigue. Using this information, clinicians can identify patients at higher risk for more severe evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors. PMID:25828560

Systematic review of current efforts to quantify the impacts of climate change on undernutrition.

PubMed

Phalkey, Revati K; Aranda-Jan, Clara; Marx, Sabrina; Höfle, Bernhard; Sauerborn, Rainer

2015-08-18

Malnutrition is a challenge to the health and productivity of populations and is viewed as one of the five largest adverse health impacts of climate change. Nonetheless, systematic evidence quantifying these impacts is currently limited. Our aim was to assess the scientific evidence base for the impact of climate change on childhood undernutrition (particularly stunting) in subsistence farmers in low- and middle-income countries. A systematic review was conducted to identify peer-reviewed and gray full-text documents in English with no limits for year of publication or study design. Fifteen manuscripts were reviewed. Few studies use primary data to investigate the proportion of stunting that can be attributed to climate/weather variability. Although scattered and limited, current evidence suggests a significant but variable link between weather variables, e.g., rainfall, extreme weather events (floods/droughts), seasonality, and temperature, and childhood stunting at the household level (12 of 15 studies, 80%). In addition, we note that agricultural, socioeconomic, and demographic factors at the household and individual levels also play substantial roles in mediating the nutritional impacts. Comparable interdisciplinary studies based on primary data at a household level are urgently required to guide effective adaptation, particularly for rural subsistence farmers. Systemization of data collection at the global level is indispensable and urgent. We need to assimilate data from long-term, high-quality agricultural, environmental, socioeconomic, health, and demographic surveillance systems and develop robust statistical methods to establish and validate causal links, quantify impacts, and make reliable predictions that can guide evidence-based health interventions in the future.

Systematic review of current efforts to quantify the impacts of climate change on undernutrition

PubMed Central

Phalkey, Revati K.; Aranda-Jan, Clara; Marx, Sabrina; Höfle, Bernhard; Sauerborn, Rainer

2015-01-01

Malnutrition is a challenge to the health and productivity of populations and is viewed as one of the five largest adverse health impacts of climate change. Nonetheless, systematic evidence quantifying these impacts is currently limited. Our aim was to assess the scientific evidence base for the impact of climate change on childhood undernutrition (particularly stunting) in subsistence farmers in low- and middle-income countries. A systematic review was conducted to identify peer-reviewed and gray full-text documents in English with no limits for year of publication or study design. Fifteen manuscripts were reviewed. Few studies use primary data to investigate the proportion of stunting that can be attributed to climate/weather variability. Although scattered and limited, current evidence suggests a significant but variable link between weather variables, e.g., rainfall, extreme weather events (floods/droughts), seasonality, and temperature, and childhood stunting at the household level (12 of 15 studies, 80%). In addition, we note that agricultural, socioeconomic, and demographic factors at the household and individual levels also play substantial roles in mediating the nutritional impacts. Comparable interdisciplinary studies based on primary data at a household level are urgently required to guide effective adaptation, particularly for rural subsistence farmers. Systemization of data collection at the global level is indispensable and urgent. We need to assimilate data from long-term, high-quality agricultural, environmental, socioeconomic, health, and demographic surveillance systems and develop robust statistical methods to establish and validate causal links, quantify impacts, and make reliable predictions that can guide evidence-based health interventions in the future. PMID:26216952

Socioeconomic inequalities, health damaging behavior, and self-perceived health in Serbia: a cross-sectional study

PubMed Central

Janković, Janko; Janević, Teresa; von dem Knesebeck, Olaf

2012-01-01

Aim To analyze the association of socioeconomic factors with self-perceived health in Serbia and examine whether this association can be partly explained by health behavior variables. Methods We used data from the 2007 Living Standards Measurement Study for Serbia. A representative sample of 13 831 persons aged ≥20 years was interviewed. The associations between demographic factors (age, sex, marital status, and type of settlement), socioeconomic factors (education, employment status, and household consumption tertiles), and health behavior variables (smoking, alcohol consumption) and self-perceived health were examined using logistic regression analyses. Results A stepwise gradient was found between education and self-perceived health for the total sample, men, and women. Compared to people with high education, people with low education had a 4.5 times higher chance of assessing their health as poor. Unemployed (odds ratio [OR], 1.64; 95% confidence interval [CI], 1.29-2.10), inactive (OR, 2.82; 95% CI, 2.49-3.19), and the most deprived respondents (OR, 1.17; 95% CI, 1.02-1.34) were more likely to report poor self-perceived health than employed persons and the most affluent group. After adjustment for demographic and health behavior variables, the magnitudes of all associations decreased but remained clearly and significantly graded. Conclusions This study revealed inequalities in self-perceived health by socioeconomic position, in particular educational and employment status. The reduction of such inequalities through wisely tailored interventions that benefit people’s health should be a target of a national health policy in Serbia. PMID:22661139

Randomized trial of intermittent or continuous amnioinfusion for variable decelerations.

PubMed

Rinehart, B K; Terrone, D A; Barrow, J H; Isler, C M; Barrilleaux, P S; Roberts, W E

2000-10-01

To determine whether continuous or intermittent bolus amnioinfusion is more effective in relieving variable decelerations. Patients with repetitive variable decelerations were randomized to an intermittent bolus or continuous amnioinfusion. The intermittent bolus infusion group received boluses of 500 mL of normal saline, each over 30 minutes, with boluses repeated if variable decelerations recurred. The continuous infusion group received a bolus infusion of 500 mL of normal saline over 30 minutes and then 3 mL per minute until delivery occurred. The ability of the amnioinfusion to abolish variable decelerations was analyzed, as were maternal demographic and pregnancy outcome variables. Power analysis indicated that 64 patients would be required. Thirty-five patients were randomized to intermittent infusion and 30 to continuous infusion. There were no differences between groups in terms of maternal demographics, gestational age, delivery mode, neonatal outcome, median time to resolution of variable decelerations, or the number of times variable decelerations recurred. The median volume infused in the intermittent infusion group (500 mL) was significantly less than that in the continuous infusion group (905 mL, P =.003). Intermittent bolus amnioinfusion is as effective as continuous infusion in relieving variable decelerations in labor. Further investigation is necessary to determine whether either of these techniques is associated with increased occurrence of rare complications such as cord prolapse or uterine rupture.

Individual Differences in Well-Being in Older Breast Cancer Survivors

PubMed Central

Perkins, Elizabeth A.; Small, Brent J.; Balducci, Lodovico; Extermann, Martine; Robb, Claire; Haley, William E.

2007-01-01

Older women who survive breast cancer may differ significantly in their long-term well-being. Using a risk and protective factors model, we studied predictors of well-being in 127 women age 70 and above with a history of at least one year's survival of breast cancer. Mean post-cancer survivorship was 5.1 years. Using life satisfaction, depression and general health perceptions as outcome variables, we assessed whether demographic variables, cancer-related variables, health status and psychosocial resources predicted variability in well-being using correlational and hierarchical regression analyses. Higher age predicted increased depression but was not associated with life satisfaction or general health perceptions. Cancer-related variables, including duration of survival, and type of cancer treatment, were not significantly associated with survivors' well-being. Poorer health status was associated with poorer well-being in all three dependent variables. After controlling for demographics, cancer-related variables, and health status, higher levels of psychosocial resources including optimism, mastery, spirituality and social support predicted better outcome in all three dependent variables. While many older women survive breast cancer without severe sequelae, there is considerable variability in their well-being after survivorship. Successful intervention with older breast cancer survivors might include greater attention not only to cancer-specific concerns, but also attention to geriatric syndromes and functional impairment, and enhancement of protective psychosocial resources. PMID:17240157

Corruption as a Propensity: Personality and Motivational Determinants Among Nigerians.

PubMed

Agbo, Aaron Adibe; Iwundu, Emmanuel Ifeanyi

2016-01-01

Psychologically oriented studies on corruption are lacking despite the fact that psychology has contributed enormously to the understanding of criminal behaviors over the past decades. Part of this problem relates to the lack of psychological tone in the definition and measurement of corruption. Taking a clue from the extensive psychological discourse on crime, which provides strong evidence for the existence of criminal tendencies, we conceptualized corruption here in terms of propensity. Possible personality and motivation determinants of this propensity were then explored. Results revealed that extraversion and conscientiousness positively and inversely predicted corruption tendencies, respectively. Results further showed that extrinsic motivation positively potentiates corruption tendencies, whereas intrinsic motivation was inversely related to corruption tendencies. Analysis of demographic variables revealed that males were more likely to be corrupt than their female counterparts. In general, findings here are consistent with the criminal behavior literature, which strongly suggests that the study of corruption is indeed amenable to psychological theories and methods and that individual differences variables constitute important explanatory variables in this regard.

Detection of genomic loci associated with environmental variables using generalized linear mixed models.

PubMed

Lobréaux, Stéphane; Melodelima, Christelle

2015-02-01

We tested the use of Generalized Linear Mixed Models to detect associations between genetic loci and environmental variables, taking into account the population structure of sampled individuals. We used a simulation approach to generate datasets under demographically and selectively explicit models. These datasets were used to analyze and optimize GLMM capacity to detect the association between markers and selective coefficients as environmental data in terms of false and true positive rates. Different sampling strategies were tested, maximizing the number of populations sampled, sites sampled per population, or individuals sampled per site, and the effect of different selective intensities on the efficiency of the method was determined. Finally, we apply these models to an Arabidopsis thaliana SNP dataset from different accessions, looking for loci associated with spring minimal temperature. We identified 25 regions that exhibit unusual correlations with the climatic variable and contain genes with functions related to temperature stress. Copyright © 2014 Elsevier Inc. All rights reserved.

Statistical Measurement and Analysis of Claimant and Demographic Variables Affecting Processing and Adjudication Duration in The United States Army Physical Disability Evaluation System.

DTIC Science & Technology

1997-02-06

Adjudication Duration 2 2. INTRODUCTION This retrospective study analyzes relationships of variables to adjudication and processing duration in the Army...Package for Social Scientists (SPSS), Standard Version 6.1, June 1994, to determine relationships among the dependent and independent variables... consanguinity between variables. Content and criterion validity is employed to determine the measure of scientific validity. Reliability is also

Impact of socio-demographic factors on the mitigating actions for climate change: a path analysis with mediating effects of attitudinal variables.

PubMed

Masud, Muhammad Mehedi; Akhatr, Rulia; Nasrin, Shamima; Adamu, Ibrahim Mohammed

2017-12-01

Socio-demographic factors play a significant role in increasing the individual's climate change awareness and in setting a favorable individual attitude towards its mitigation. To better understand how the adversative effects of climate change can be mitigated, this study attempts to investigate the impact of socio-demographic factors on the mitigating actions of the individuals (MAOI) on climate change. Qualitative data were collected from a face-to-face survey of 360 respondents in the Kuala Lumpur region of Malaysia through a close-ended questionnaire. Analysis was conducted on the mediating effects of attitudinal variables through the path model by using the SEM. Findings indicate that the socio-demographic factors such as gender, age, education, income, and ethnicity can greatly influence the individual's awareness, attitude, risk perception, and knowledge of climate change issues. The results drawn from this study also revealed that the attitudinal factors act as a mediating effect between the socio-demographic factors and the MAOI, thereby, indicating that both the socio-demographic factors and the attitudinal factors have significant effects on the MAOI towards climate change. The outcome of this study can help policy makers and other private organizations to decide on the appropriate actions to take in managing climate change effects. These actions which encompass improving basic climate change education and making the public more aware of the local dimensions of climate change are important for harnessing public engagement and support that can also stimulate climate change awareness and promote mitigating actions to n protect the environment from the impact of climate change.

Modeling Governance KB with CATPCA to Overcome Multicollinearity in the Logistic Regression

NASA Astrophysics Data System (ADS)

Khikmah, L.; Wijayanto, H.; Syafitri, U. D.

2017-04-01

The problem often encounters in logistic regression modeling are multicollinearity problems. Data that have multicollinearity between explanatory variables with the result in the estimation of parameters to be bias. Besides, the multicollinearity will result in error in the classification. In general, to overcome multicollinearity in regression used stepwise regression. They are also another method to overcome multicollinearity which involves all variable for prediction. That is Principal Component Analysis (PCA). However, classical PCA in only for numeric data. Its data are categorical, one method to solve the problems is Categorical Principal Component Analysis (CATPCA). Data were used in this research were a part of data Demographic and Population Survey Indonesia (IDHS) 2012. This research focuses on the characteristic of women of using the contraceptive methods. Classification results evaluated using Area Under Curve (AUC) values. The higher the AUC value, the better. Based on AUC values, the classification of the contraceptive method using stepwise method (58.66%) is better than the logistic regression model (57.39%) and CATPCA (57.39%). Evaluation of the results of logistic regression using sensitivity, shows the opposite where CATPCA method (99.79%) is better than logistic regression method (92.43%) and stepwise (92.05%). Therefore in this study focuses on major class classification (using a contraceptive method), then the selected model is CATPCA because it can raise the level of the major class model accuracy.

Exploring the social dimension of sandy beaches through predictive modelling.

PubMed

Domínguez-Tejo, Elianny; Metternicht, Graciela; Johnston, Emma L; Hedge, Luke

2018-05-15

Sandy beaches are unique ecosystems increasingly exposed to human-induced pressures. Consistent with emerging frameworks promoting this holistic approach towards beach management, is the need to improve the integration of social data into management practices. This paper aims to increase understanding of links between demographics and community values and preferred beach activities, as key components of the social dimension of the beach environment. A mixed method approach was adopted to elucidate users' opinions on beach preferences and community values through a survey carried out in Manly Local Government Area in Sydney Harbour, Australia. A proposed conceptual model was used to frame demographic models (using age, education, employment, household income and residence status) as predictors of these two community responses. All possible regression-model combinations were compared using Akaike's information criterion. Best models were then used to calculate quantitative likelihoods of the responses, presented as heat maps. Findings concur with international research indicating the relevance of social and restful activities as important social links between the community and the beach environment. Participant's age was a significant variable in the four predictive models. The use of predictive models informed by demographics could potentially increase our understanding of interactions between the social and ecological systems of the beach environment, as a prelude to integrated beach management approaches. The research represents a practical demonstration of how demographic predictive models could support proactive approaches to beach management. Copyright © 2018 Elsevier Ltd. All rights reserved.

Investigating the relation of social support functions and the demographic features of diabetic patients

PubMed Central

Ghasemipoor, Maryam; Ghasemi, Vahid; Zamani, Ahmad Reza

2010-01-01

BACKGROUND: Social support is a form of social capital which can be related to the health of patients. Chronic diseases, such as diabetes, are incurable but they can be controlled. However, the patient is always facing stressful physical, mental and social factors. Therefore, he needs to receive different kinds of supports. The present research aimed to determine the factors of social support in diabetic patients and its relation with the demographic features of the patients. METHODS: This descriptive, cross-sectional study was conducted in 2008. The population of the study was all of the dia-betic patients of Khorramabad who went to the clinics for treatment. Among this population, 150 cases were selected and a questionnaire including a demographic section and a social support section was used for data collection. Social support was assessed by integrating and balancing four standard questionnaires of social support for diabetic patients. RESULTS: The results revealed that factors of social support have not been optimal in 59% of the cases. Among all factors, emotional support scored the highest (36.8%). In addition, age, sex, job, education, and the duration of disease had statistically significant relationship with some of the factors of social support. CONCLUSIONS: Due to non-optimality of some factors and effects of some demographic variables in receiving social support, it can be recommended that authorities should plan programs with consulting, educational and instrumental contents in order to promote patient's reception of social support from different support sources. PMID:21589742

Changes in prevalence, awareness, treatment and control of hypertension from 2004 to 2014 among 25-74-year-old citizens in the Yangon Region, Myanmar.

PubMed

Htet, Aung Soe; Bjertness, Marius B; Oo, Win Myint; Kjøllesdal, Marte Karoline; Sherpa, Lhamo Y; Zaw, Ko Ko; Ko, Ko; Stigum, Hein; Meyer, Haakon E; Bjertness, Espen

2017-10-26

Hypertension is the leading risk factor for cardiovascular diseases, and little is known about trends in prevalence, awareness, treatment and the control of hypertension in Myanmar. This study aims at evaluating changes from 2004 to 2014 in the prevalence, awareness, treatment and control of hypertension in the Yangon Region, Myanmar, and to compare associations between hypertension and selected socio-demographic, behavioural- and metabolic risk factors in 2004 and 2014. In 2004 and 2014, household-based cross-sectional studies were conducted in urban and rural areas of Yangon Region using the WHO STEPS protocol. Through a multi-stage cluster sampling method, a total of 4448 and 1486 participated in 2004 and 2014, respectively, with the response rates above 89%. From 2004 to 2014, there was a significant increase in the age-standardized prevalence of hypertension from 26.7% (95% CI:24.4-29.1) - 34.6% (32.2-37.1), as well as an awareness from 19.4% (17.2-21.9) to 27.8% (24.9-31.0), while treatment and control rates did not change. The age-standardized mean systolic blood pressure increased from 122.8 (SE) ± 0.82 mmHg in 2004 to 128.1 ± 0.53 mmHg in 2014, whereas diastolic blood pressure increased from 76.2 ± 0.35 mmHg to 80.9 ± 0.53 mmHg. In multivariate analyses, hypertension was significantly associated with age, alcohol consumption, overweight and diabetes in both 2004 and 2014, and additionally associated with low physical activity and hypercholesterolemia in 2004. Combining all data, a significant association between study-year and hypertension persisted in different models with an adjustment for socio-demographic variables and behavioural variables, but not when adjusting for a combination of socio-demographic variables, the metabolic variables, BMI and hypercholesterolemia. The prevalence of hypertension has risen from 2004 to 2014 in both urban and rural areas of the Yangon Region, while, the awareness, treatment and control rate of hypertension remains low in urban and rural areas among both males and females. It is likely that changes in the metabolic variables, BMI and hypercholesterolemia have contributed to an increase in the prevalence of hypertension from 2004 to 2014. Factors associated with hypertension in both study years were age, alcohol consumption, overweight and diabetes. A national hypertension control programme should be implemented in order to reduce premature deaths in Myanmar.

A psychological study of stress, personality and coping in police personnel.

PubMed

Kaur, Ravneet; Chodagiri, Vamsi K; Reddi, Narasimha K

2013-04-01

There have been few studies focusing on occupational/organizational causes of stress in police. Hardly any studies exist on personality traits and coping methods in this group of individuals. To study the association of personality traits and coping methods to psychological stress in police personnel. This cross-sectional study was conducted among the constables and head constables working in the Police Department, Vizianagram town, Andhra Pradesh. The study sample consisted of 150 police persons. The socio-demographic data was individually collected from them. General Health Questionnaire-28 (GHQ-28) was used for assessing psychological stress, Eysenck's Personality Questionnaire (EPQ) for personality traits, and Coping Checklist-1 (CCL-1) for eliciting coping methods. The statistical analysis was done using SPSS v 10 software. On screening by GHQ-28, 35.33% of the police were found to be having psychological distress. The socio-demographic variables showed no significant association to psychological stress. Personality traits such as neuroticism, psychoticism, and extroversion and coping methods like negative distraction and denial/blame showed statistically significant association (P<0.05) with psychological stress. The most commonly used coping methods across the sample were social support (72.55%), acceptance/redefinition (64.72%), and problem solving (60.46%). As measured by Pearson's correlation coefficient (r), there was evidence of linear association between certain personality traits and coping methods as well. The personality traits and coping methods have significant independent and interactive role in the development of high psychological stress in police persons, thus placing them at a high risk of developing psychiatric disorders.

Factors Influencing Self-Directed Career Management: An Integrative Investigation

ERIC Educational Resources Information Center

Park, Yongho

2009-01-01

Purpose: This paper aims to investigate the relationship between the protean career and other variables, including organizational learning climate, individual calling work orientation, and demographic variables. Design/methodology/approach: The research data were obtained from a sample consisting of 292 employees of two South Korean manufacturing…

Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets

PubMed Central

de Vent, Nathalie R.; Agelink van Rentergem, Joost A.; Schmand, Ben A.; Murre, Jaap M. J.; Huizenga, Hilde M.

2016-01-01

In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and range of these data surpasses that of traditional normative data, thereby enabling more accurate neuropsychological assessment. Because of the unique structure of the database, it facilitates normative comparison methods that were not feasible before, in particular those in which entire profiles of scores are evaluated. In this article, we describe the steps that were necessary to combine the separate datasets into a single database. These steps involve matching variables from multiple datasets, removing outlying values, determining the influence of demographic variables, and finding appropriate transformations to normality. Also, a brief description of the current contents of the ANDI database is given. PMID:27812340

Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets.

PubMed

de Vent, Nathalie R; Agelink van Rentergem, Joost A; Schmand, Ben A; Murre, Jaap M J; Huizenga, Hilde M

2016-01-01

In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and range of these data surpasses that of traditional normative data, thereby enabling more accurate neuropsychological assessment. Because of the unique structure of the database, it facilitates normative comparison methods that were not feasible before, in particular those in which entire profiles of scores are evaluated. In this article, we describe the steps that were necessary to combine the separate datasets into a single database. These steps involve matching variables from multiple datasets, removing outlying values, determining the influence of demographic variables, and finding appropriate transformations to normality. Also, a brief description of the current contents of the ANDI database is given.

Do observed or perceived characteristics of the neighborhood environment mediate associations between neighborhood poverty and cumulative biological risk?

PubMed Central

Schulz, Amy J.; Mentz, Graciela; Lachance, Laurie; Zenk, Shannon N.; Johnson, Jonetta; Stokes, Carmen; Mandell, Rebecca

2013-01-01

Objective To examine contributions of observed and perceived neighborhood characteristics in explaining associations between neighborhood poverty and cumulative biological risk (CBR) in an urban community. Methods Multilevel regression analyses were conducted using cross-sectional data from a probability sample survey (n=919), and observational and census data. Dependent variable: CBR. Independent variables: Neighborhood disorder, deterioration and characteristics; perceived neighborhood social environment, physical environment, and neighborhood environment. Covariates: Neighborhood and individual demographics, health-related behaviors. Results Observed and perceived indicators of neighborhood conditions were significantly associated with CBR, after accounting for both neighborhood and individual level socioeconomic indicators. Observed and perceived neighborhood environmental conditions mediated associations between neighborhood poverty and CBR. Conclusions Findings were consistent with the hypothesis that neighborhood conditions associated with economic divestment mediate associations between neighborhood poverty and CBR. PMID:24100238

Physical Activity during Work, Transport and Leisure in Germany - Prevalence and Socio-Demographic Correlates

PubMed Central

Wallmann-Sperlich, Birgit; Froboese, Ingo

2014-01-01

Background This study aimed 1) to provide data estimates concerning overall moderate- and vigorous-intensity physical activity (MVPA) as well as MVPA during work, transport and leisure in Germany and 2) to investigate MVPA and possible associations with socio-demographic correlates. Methods A cross-sectional telephone survey interviewed 2248 representative participants in the age of 18–65 years (1077 men; 42.4±13.4 years; body mass index: 25.3±4.5kg•m−2) regarding their self-reported physical activity across Germany. The Global Physical Activity Questionnaire was applied to investigate MVPA during work, transport and leisure and questions were answered concerning their demographics. MVPA was stratified by gender, age, body mass index, residential setting, educational and income level. To identify socio-demographic correlates of overall MVPA as well as in the domains, we used a series of linear regressions. Results 52.8% of the sample achieved physical activity recommendations (53.7% men/52.1% women). Overall MVPA was highest in the age group 18–29 years (p<.05), in participants with 10 years of education (p<.05) and in participants with lowest income levels <1.500€ (p<.05). Regression analyses revealed that age, education and income were negatively associated with overall and work MVPA. Residential setting and education was positively correlated with transport MVPA, whereas income level was negatively associated with transport MVPA. Education was the only correlate for leisure MVPA with a positive association. Conclusions The present data underlines the importance of a comprehensive view on physical activity engagement according to the different physical activity domains and discloses a need for future physical activity interventions that consider socio-demographic variables, residential setting as well as the physical activity domain in Germany. PMID:25390071

Socio-demographic transformations and living conditions among two indigenous and black populations in Northern Cauca during the period of 1993-2005

PubMed Central

Rodríguez Sánchez, Diego Alejandro

2012-01-01

Objectives: To describe the changes that occurred in some patterns of socio-demographic variables and in living conditions among the Nasa, Guambiana and Afrocolombian populations in the northern region of the Department of Cauca, and those occurring in two residential communities, one white-mestizo and one black, in Cali during the 1993-2005 period. Methods: This paper presents a descriptive study that analyzes several socio-demographic indicators from the census of 1993 and 2005, the specific data include: rate of juvenile dependency; total masculinity index; average size of the household; specific global and local birth rates, and infant mortality rates; life expectancy at birth; average years of schooling; health cover age status; and percentage of the population with unmet basic needs (UBN). In this way, it is possible to note differences in the course of socio-demographic evolution and in the standard of living trends in the differing populations under study. Results: The Guambiana Indian population in the municipality of Silvia presents lower birth rates than the Nasa population, characterized by their seasonal birth rates. Differing from the pattern of the indigenous people of Northern Cauca, the Afro-Colombian population both from this region and from the population residing in the urban zones of Cali's tend to show similar socio-demographic patterns. Conclusions: Although there have been profound changes recorded during this period among these populations under study, the ethnic-racial inequalities and those of social class seem to persist. From this first diagnosis, attention is called to the need for a more adequate reproductive health policy to attend the specific needs presented by the indigenous population. PMID:24893053

Contraception among young women attending high school in rural Nova Scotia.

PubMed

Langille, Donald B; Hughes, Jean; Murphy, Gail Tomblin; Rigby, Janet A

2002-01-01

To examine contraceptive methods used by rural adolescent women and socio-demographic factors associated with not using effective contraception. Students in three Nova Scotia high schools participated in a survey concerning sexual activity, behaviours, and contraception used at last intercourse. Proportions using no effective contraception were examined with respect to socio-demographic variables. The overall response rate was 80%; 46% of 922 young women aged 15-19 had had intercourse in the previous year. Of these, 87% used effective contraception at last intercourse. Average school mark < 80%, and having a father with less than high school education were associated with not using effective contraception. Mother's education and employment, family structure, age of first intercourse and importance of religion were not associated with lack of contraception. Using no, or ineffective, contraception at last intercourse was seen in fewer young women than has been seen in other Canadian studies. In addition to examining use of contraception in rural Canadian adolescents, the study provides evidence concerning factors for consideration in targeted interventions.

Leadership styles in secondary school science teachers

NASA Astrophysics Data System (ADS)

Lawson, Michael A.

A comparison of United States secondary school science teachers who mentor high quality student research and teachers who do not mentor research was conducted using a demographic survey and the Multifactor Leadership Questionnaire-Form 5X. The major demographic difference between the two groups was a significantly greater number of years of teaching experience in the research group, a factor that correlated significantly with Extra Effort in students. Research group teachers self-reported higher mean scores than non-research group teachers on the five transformational leadership scales plus the transactional scale of Contingent Reward; however, a Multivariate Analysis of Variance found no significant difference between the groups. Independent t-tests found no significant difference between the groups based upon the remaining transactional scales. The research group was found to be significantly higher on the outcome variable of Extra Effort generated by students while the non-research group rated themselves significantly higher on Satisfaction of students. Transformational leadership in teachers should be addressed by future studies as a possible method of identifying motivational teachers.

Demographic, Maltreatment, and Neurobiological Correlates of PTSD Symptoms in Children and Adolescents

PubMed Central

Hooper, Stephen R.; Woolley, Donald P.; Shenk, Chad E.

2010-01-01

Objective To examine the relationships of demographic, maltreatment, neurostructural and neuropsychological measures with total posttraumatic stress disorder (PTSD) symptoms. Methods Participants included 216 children with maltreatment histories (N = 49), maltreatment and PTSD (N = 49), or no maltreatment (N = 118). Participants received diagnostic interviews, brain imaging, and neuropsychological evaluations. Results We examined a hierarchical regression model comprised of independent variables including demographics, trauma and maltreatment-related variables, and hippocampal volumes and neuropsychological measures to model PTSD symptoms. Important independent contributors to this model were SES, and General Maltreatment and Sexual Abuse Factors. Although hippocampal volumes were not significant, Visual Memory was a significant contributor to this model. Conclusions Similar to adult PTSD, pediatric PTSD symptoms are associated with lower Visual Memory performance. It is an important correlate of PTSD beyond established predictors of PTSD symptoms. These results support models of developmental traumatology and suggest that treatments which enhance visual memory may decrease symptoms of PTSD. PMID:20008084

Women, Demography, and Politics: How Lower Fertility Rates Lead to Democracy.

PubMed

Sommer, Udi

2018-04-01

Where connections between demography and politics are examined in the literature, it is largely in the context of the effects of male aspects of demography on phenomena such as political violence. This project aims to place the study of demographic variables' influence on politics, particularly on democracy, squarely within the scope of political and social sciences, and to focus on the effects of woman-related demographics-namely, fertility rate. I test the hypothesis that demographic variables-female-related predictors, in particular-have an independent effect on political structure. Comparing countries over time, this study finds a growth in democracy when fertility rates decline. In the theoretical framework developed, it is family structure as well as the economic and political status of women that account for this change at the macro and micro levels. Findings based on data for more than 140 countries over three decades are robust when controlling not only for alternative effects but also for reverse causality and data limitations.

Beyond Population and Environment: Household Life Cycle Demography and Land Use Allocation among Small Farm Colonists in the Amazon

NASA Technical Reports Server (NTRS)

Perz, Stephen G.; Walker, Robert T.; Caldas, Marcellus M.

2006-01-01

Most research featuring demographic factors in environmental change has focused on processes operating at the level of national or global populations. This paper focuses on household-level demographic life cycles among colonists in the Amazon, and evaluates the impacts on land use allocation. The analysis goes beyond prior research by including a broader suite of demographic variables, and by simultaneously assessing their impacts on multiple land uses with different economic and ecological implications. We estimate a system of structural equations that accounts for endogeneity among land uses, and the findings indicate stronger demographic effects than previous work. These findings bear implications for modeling land use, and the place of demography in environmental research.

Whole blood and apheresis donors in Quebec, Canada: Demographic differences and motivations to donate.

PubMed

Charbonneau, Johanne; Cloutier, Marie-Soleil; Carrier, Élianne

2015-12-01

This study sought to compare demographics and donation motivations among plasma/platelet donors (PPDs) and whole blood donors (WBDs), in a voluntary and non-remunerated context. Motives to donate blood and demographic characteristics were collected through questionnaires completed by 795 WBDs and 473 PPDs. Comparison of WBDs and PPDs under chi-square tests showed that 17 out of 23 motivators were statistically different according to various demographic variables. These results demonstrate the existence of specific donor profiles both for WBDs and PPDs. Agencies should develop new recruitment strategies tailored to these donors, especially if they wish to convince WBDs to convert to apheresis donation. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Elementary Teachers' Perceived Use of Culturally Responsive Teaching Practices and Their Relationship to Teachers' Demographics

ERIC Educational Resources Information Center

Hohensee, Jo-Anne

2013-01-01

The quantitative ex post facto study had a two-fold purpose: (1) to determine which of the cultural responsive teaching practices of kindergarten through sixth grade teachers were used most often and (2) to determine to what extent each of the teacher's demographics (i.e., the predictive variables) differ for each CRTI factor (i.e., the criterion…

The Role of Permanent Income and Demographics in Black/White Differences in Wealth

ERIC Educational Resources Information Center

Altonji, Joseph G.; Doraszelski, Ulrich

2005-01-01

A large part of the racial disparity with wealth holdings with income and demographic variables can be explained by examining the wealth model of a sample of whites, but only a small fraction when we use a black wealth model. Research finds a higher self-employment rate and a stronger link between self-employment and wealth for whites than for…

Violence Tendencies of High School Students: An Examination in Terms of Exposure to Violence, Participation in Sports and Socio-Demographic Attributes

ERIC Educational Resources Information Center

Karagün, Elif

2015-01-01

The purpose of this study was to determine the violence tendencies of young people studying in high school in terms of their participation in sports, status of exposure to violence and socio-demographic variables. It was also aimed to evaluate whether the identified violence tendency differed significantly by gender, grade, school success,…

Factors Influencing Learner Conceptions of Force: Exploring the Interaction among Visuospatial Ability, Motivation, and Conceptions of Newtonian Mechanics in University Undergraduates from an Evolutionary Perspective

ERIC Educational Resources Information Center

Vallett, David Bruce

2013-01-01

This study examined the relationships among visuospatial ability, motivation to learn science, and learner conceptions of force across commonly measured demographics with university undergraduates with the aim of examining the support for an evolved sense of force and motion. Demographic variables of interest included age, ethnicity, and gender,…

Demographic Variables and Students Use of E-Learning Resources in Public Secondary Schools Libraries in Rivers State of Nigeria

ERIC Educational Resources Information Center

Owate, C. N.; Afolabi, M.; Akanwa, P. C.

2017-01-01

The applications of e-learning resources to studies, teaching and learning by both staff and students have been investigated. However, the provision of e-learning tools for stake-holders is a modern goal to improving as well as achieving the quality of educational system in the twenty first century is imperative. Students' demographic variables…

Substance Use in Pregnant Women Using the Emergency Department: Undertested And Overlooked?

PubMed Central

Moyer, C. Leigh; Johnson, Sean; Klug, Marilyn G.

2018-01-01

Introduction The objective was to determine if pregnant women visiting the emergency department (ED) are tested for substance use as frequently as non-pregnant women. Methods We captured all ED visits over a six-year period (2010–2016) from a single community hospital and identified women of childbearing age, defined for our study as 11–50 years old. We collected demographic data including age in years, ethnicity, body mass index, marital status, disposition, last encounter department, method of arrival, and day of week. An independent binary variable was created based on whether the woman was tested for alcohol or drugs (amphetamines, barbiturates, benzodiazepines, cannabis, cocaine, opioids) during her visit. We then compared rates of testing for substance use by pregnancy status. Results We identified 61,222 ED visits by women of childbearing age (range 11–50, mean 30.5, standard deviation 9.6) over a six-year period from 2010–2016. Of the 57,360 non-pregnant women, 4.14% were tested compared to 1.04% of the 3,862 pregnant women tested with a relative risk of 0.25 (p<0.001, 95% confidence interval [CI] [0.183–0.341]). The most highly tested chief complaints for all women – psychiatric or substance use concerns – showed pregnant women were still 37% and 54% less likely to be tested, respectively (risk ratio [RR] 0.46, 95% CI [0.19–1.13]; RR 0.63, 95% CI [0.41–0.96]). Beyond pregnancy status, we found no significant interaction between patient demographics and substance use testing. Conclusion Pregnant women presenting to the ED were 75% less likely to be tested for drug or alcohol use than non-pregnant women. Our study showed only pregnancy status as a statistically significant variable in drug- and alcohol-screening rates when pregnant and non-pregnant patient chief complaints and demographics were compared. Increased attention to the screening of pregnant women for substance use may be necessary to provide adequate care and intervention to this population. PMID:29760859

Prevalence and factors associated with syphilis in parturient women in Northeast, Brazil

PubMed Central

2013-01-01

Background Congenital syphilis is a major public health concern, even after the implementation of intervention protocols in several countries. This study aimed to analyze the prevalence and socio-demographic, behavioral and institutional factors associated with syphilis in parturient women attending public maternity hospitals in Northeast, Brazil. Methods A cross-sectional study was conducted from June to September 2010 with a proportionate stratified sampling of 222 parturient women using a structured questionnaire. The study analyzed socio-demographic, behavioral and institutional variables. The structured questionnaire was conducted with parturient women and complementary information was obtained through hospitals records, admission forms and prenatal cards. Data were stored using the Statistical Package SPSS version 18. A descriptive statistical analysis was performed using frequency distribution, central tendency and measures of spread for the variables. A bivariate analysis was done using chi square test and Fisher’s exact test, with a significance level of 5% and a 95% confidence interval, in order to analyze the relation between the variables and risk factors for syphilis. The multivariate logistic regression analysis was done in the statistical package STATA, version 11.0. Results The prevalence of syphilis in parturient women was 7.7%. The bivariate analyses showed that the rate was higher among women who: were from Fortaleza (p = 0.019), studied for less than nine years (p = 0.044), had more than one sexual partner in life (p = 0.021), did not live with partner (p = 0.022), used illegal drugs (p < 0.0001), whose partner used illegal drugs and had diagnosis of syphilis (p = 0.001 and p < 0.0001 respectively). The non-adjusted analysis found significant positive association between syphilis and the following variable: being from Fortaleza (OR = 7.26; CI 95% = 1.49-100.20), having studied for less than nine years (OR = 7.97; CI 95% = 0.87-12.89), having more than one sexual partner in life (OR = 3.75; CI 95% = 1.59-107.11), not living with partner (OR = 3.75; CI95% = 1.03-12.15), and parturient women and partner used illegal drugs (OR = 7.34; CI95% = 1.69-27.57; OR = 4.93; CI95% = 1.58-16.05), respectively. The adjusted multiple logistic regression analysis showed that none of the variables remained significant. Conclusion This study enabled to identify a high prevalence of syphilis in parturient women and that this situation is associated with socio-demographic, behavioral and institutional variables. PMID:23497370

Harnessing demographic differences in organizations: What moderates the effects of workplace diversity?

PubMed

Guillaume, Yves R F; Dawson, Jeremy F; Otaye-Ebede, Lilian; Woods, Stephen A; West, Michael A

2017-02-01

To account for the double-edged nature of demographic workplace diversity (i.e,. relational demography, work group diversity, and organizational diversity) effects on social integration, performance, and well-being-related variables, research has moved away from simple main effect approaches and started examining variables that moderate these effects. While there is no shortage of primary studies of the conditions under which diversity leads to positive or negative outcomes, it remains unclear which contingency factors make it work. Using the Categorization-Elaboration Model as our theoretical lens, we review variables moderating the effects of workplace diversity on social integration, performance, and well-being outcomes, focusing on factors that organizations and managers have control over (i.e., strategy, unit design, human resource, leadership, climate/culture, and individual differences). We point out avenues for future research and conclude with practical implications. © 2015 The Authors. Journal of Organizational Behavior published by John Wiley & Sons, Ltd.

Predicting ecosystem stability from community composition and biodiversity.

PubMed

de Mazancourt, Claire; Isbell, Forest; Larocque, Allen; Berendse, Frank; De Luca, Enrica; Grace, James B; Haegeman, Bart; Wayne Polley, H; Roscher, Christiane; Schmid, Bernhard; Tilman, David; van Ruijven, Jasper; Weigelt, Alexandra; Wilsey, Brian J; Loreau, Michel

2013-05-01

As biodiversity is declining at an unprecedented rate, an important current scientific challenge is to understand and predict the consequences of biodiversity loss. Here, we develop a theory that predicts the temporal variability of community biomass from the properties of individual component species in monoculture. Our theory shows that biodiversity stabilises ecosystems through three main mechanisms: (1) asynchrony in species' responses to environmental fluctuations, (2) reduced demographic stochasticity due to overyielding in species mixtures and (3) reduced observation error (including spatial and sampling variability). Parameterised with empirical data from four long-term grassland biodiversity experiments, our prediction explained 22-75% of the observed variability, and captured much of the effect of species richness. Richness stabilised communities mainly by increasing community biomass and reducing the strength of demographic stochasticity. Our approach calls for a re-evaluation of the mechanisms explaining the effects of biodiversity on ecosystem stability. © 2013 Blackwell Publishing Ltd/CNRS.

Predicting ecosystem stability from community composition and biodiversity

USGS Publications Warehouse

Mazancourt, Claire de; Isbell, Forest; Larocque, Allen; Berendse, Frank; De Luca, Enrica; Grace, James B.; Haegeman, Bart; Polley, H. Wayne; Roscher, Christiane; Schmid, Bernhard; Tilman, David; van Ruijven, Jasper; Weigelt, Alexandra; Wilsey, Brian J.; Loreau, Michel

2013-01-01

As biodiversity is declining at an unprecedented rate, an important current scientific challenge is to understand and predict the consequences of biodiversity loss. Here, we develop a theory that predicts the temporal variability of community biomass from the properties of individual component species in monoculture. Our theory shows that biodiversity stabilises ecosystems through three main mechanisms: (1) asynchrony in species’ responses to environmental fluctuations, (2) reduced demographic stochasticity due to overyielding in species mixtures and (3) reduced observation error (including spatial and sampling variability). Parameterised with empirical data from four long-term grassland biodiversity experiments, our prediction explained 22–75% of the observed variability, and captured much of the effect of species richness. Richness stabilised communities mainly by increasing community biomass and reducing the strength of demographic stochasticity. Our approach calls for a re-evaluation of the mechanisms explaining the effects of biodiversity on ecosystem stability.

Harnessing demographic differences in organizations: What moderates the effects of workplace diversity?

PubMed Central

Dawson, Jeremy F.; Otaye‐Ebede, Lilian; Woods, Stephen A.; West, Michael A.

2015-01-01

Summary To account for the double‐edged nature of demographic workplace diversity (i.e,. relational demography, work group diversity, and organizational diversity) effects on social integration, performance, and well‐being‐related variables, research has moved away from simple main effect approaches and started examining variables that moderate these effects. While there is no shortage of primary studies of the conditions under which diversity leads to positive or negative outcomes, it remains unclear which contingency factors make it work. Using the Categorization‐Elaboration Model as our theoretical lens, we review variables moderating the effects of workplace diversity on social integration, performance, and well‐being outcomes, focusing on factors that organizations and managers have control over (i.e., strategy, unit design, human resource, leadership, climate/culture, and individual differences). We point out avenues for future research and conclude with practical implications. © 2015 The Authors. Journal of Organizational Behavior published by John Wiley & Sons, Ltd PMID:28239234

Facebook addiction among Turkish college students: the role of psychological health, demographic, and usage characteristics.

PubMed

Koc, Mustafa; Gulyagci, Seval

2013-04-01

This study explored Facebook addiction among Turkish college students and its behavioral, demographic, and psychological health predictors. The Facebook Addiction Scale (FAS) was developed and its construct validity was assessed through factor analyses. A total of 447 students reported their personal information and Facebook usage and completed the FAS and General Health Questionnaire (GHQ-28). The results revealed that weekly time commitment, social motives, severe depression, and anxiety and insomnia positively predicted Facebook addiction. Neither demographic variables nor the interactions of gender by usage characteristics were found to be significant predictors.

[Comparison of three methods for measuring multiple morbidity according to the use of health resources in primary healthcare].

PubMed

Sicras-Mainar, Antoni; Velasco-Velasco, Soledad; Navarro-Artieda, Ruth; Blanca Tamayo, Milagrosa; Aguado Jodar, Alba; Ruíz Torrejón, Amador; Prados-Torres, Alexandra; Violan-Fors, Concepción

2012-06-01

To compare three methods of measuring multiple morbidity according to the use of health resources (cost of care) in primary healthcare (PHC). Retrospective study using computerized medical records. Thirteen PHC teams in Catalonia (Spain). Assigned patients requiring care in 2008. The socio-demographic variables were co-morbidity and costs. Methods of comparison were: a) Combined Comorbidity Index (CCI): an index itself was developed from the scores of acute and chronic episodes, b) Charlson Index (ChI), and c) Adjusted Clinical Groups case-mix: resource use bands (RUB). The cost model was constructed by differentiating between fixed (operational) and variable costs. 3 multiple lineal regression models were developed to assess the explanatory power of each measurement of co-morbidity which were compared from the determination coefficient (R(2)), p< .05. The study included 227,235 patients. The mean unit of cost was €654.2. The CCI explained an R(2)=50.4%, the ChI an R(2)=29.2% and BUR an R(2)=39.7% of the variability of the cost. The behaviour of the ICC is acceptable, albeit with low scores (1 to 3 points), showing inconclusive results. The CCI may be a simple method of predicting PHC costs in routine clinical practice. If confirmed, these results will allow improvements in the comparison of the case-mix. Copyright © 2011 Elsevier España, S.L. All rights reserved.

Socio-Demographic, Social-Cognitive, Health-Related and Physical Environmental Variables Associated with Context-Specific Sitting Time in Belgian Adolescents: A One-Year Follow-Up Study

PubMed Central

Busschaert, Cedric; Ridgers, Nicola D.; De Bourdeaudhuij, Ilse; Cardon, Greet; Van Cauwenberg, Jelle; De Cocker, Katrien

2016-01-01

Introduction More knowledge is warranted about multilevel ecological variables associated with context-specific sitting time among adolescents. The present study explored cross-sectional and longitudinal associations of ecological domains of sedentary behaviour, including socio-demographic, social-cognitive, health-related and physical-environmental variables with sitting during TV viewing, computer use, electronic gaming and motorized transport among adolescents. Methods For this longitudinal study, a sample of Belgian adolescents completed questionnaires at school on context-specific sitting time and associated ecological variables. At baseline, complete data were gathered from 513 adolescents (15.0±1.7 years). At one-year follow-up, complete data of 340 participants were available (retention rate: 66.3%). Multilevel linear regression analyses were conducted to explore cross-sectional correlates (baseline variables) and longitudinal predictors (change scores variables) of context-specific sitting time. Results Social-cognitive correlates/predictors were most frequently associated with context-specific sitting time. Longitudinal analyses revealed that increases over time in considering it pleasant to watch TV (p < .001), in perceiving TV watching as a way to relax (p < .05), in TV time of parents/care givers (p < .01) and in TV time of siblings (p < .001) were associated with more sitting during TV viewing at follow-up. Increases over time in considering it pleasant to use a computer in leisure time (p < .01) and in the computer time of siblings (p < .001) were associated with more sitting during computer use at follow-up. None of the changes in potential predictors were significantly related to changes in sitting during motorized transport or during electronic gaming. Conclusions Future intervention studies aiming to decrease TV viewing and computer use should acknowledge the importance of the behaviour of siblings and the pleasure adolescents experience during these screen-related behaviours. In addition, more time parents or care givers spent sitting may lead to more sitting during TV viewing of the adolescents, so that a family-based approach may be preferable for interventions. Experimental study designs are warranted to confirm the present findings. PMID:27936073

Demographic and clinical characteristics of consistent and inconsistent longitudinal reporters of lifetime suicide attempts in adolescence through young adulthood.

PubMed

Hart, Shelley R; Musci, Rashelle J; Ialongo, Nicholas; Ballard, Elizabeth D; Wilcox, Holly C

2013-10-01

Within the context of the recent release of the 2012 National Suicide Prevention Strategy, and as the third leading cause of death for individuals 10- to 24-years-old, suicide prevention is a national priority. A consistently reported and robust risk factor for suicide is a prior suicide attempt; however few studies have investigated the consistency of self-reported lifetime suicide attempts. The goal of this study is to describe the prevalence and characteristics of inconsistent reporting of suicide attempt in a longitudinal cohort of participants annually assessed in 12 waves of data collected from middle school (age 12) to early adulthood (age 22). Among this cohort (n = 678), we compared those who consistently, inconsistently, and never reported a suicide attempt according to demographic and clinical variables. Almost 90% (88.5%) of our sample inconsistently reported a lifetime suicide attempt. Consistent and inconsistent reporters of lifetime suicide attempt did not differ on demographic or clinical variables with the exception of higher rates of lifetime suicidal ideation among consistent reporters (P < .001). Significant clinical differences were evident between inconsistent reporters and nonattempters. Some level of inconsistent reporting of suicide attempt is inevitable when schools or health care systems systematically screen for suicide risk in adolescents. Inconsistent and consistent reporters of suicide attempt differ on few demographic or clinical variables; further prospective research should investigate the reasons for inconsistent reporting as well as the validity and stability of reporting in predicting future suicidal behavior. © 2013 Wiley Periodicals, Inc.

Comparison of Informed Consent Preferences for Multiplex Genetic Carrier Screening among a Diverse Population.

PubMed

Reeves, Ashley; Trepanier, Angela

2016-02-01

Multiplex genetic carrier screening is increasingly being integrated into reproductive care. Obtaining informed consent becomes more challenging as the number of screened conditions increases. Implementing a model of generic informed consent may facilitate informed decision-making. Current Wayne State University students and staff were invited to complete a web-based survey by blast email solicitation. Participants were asked to determine which of two generic informed consent scenarios they preferred: a brief versus a detailed consent. They were asked to rank the importance of different informational components in making an informed decision and to provide demographic information. Comparisons between informational preferences, demographic variables and scenario preferences were made. Six hundred ninety three participants completed the survey. When evaluating these generic consents, the majority preferred the more detailed consent (74.5%), and agreed that it provided enough information to make an informed decision (89.5%). Those who thought it would be more important to know the severity of the conditions being screened (p = .002) and range of symptoms (p = .000) were more likely to prefer the more detailed consent. There were no significant associations between scenario preferences and demographic variables. A generic consent was perceived to provide sufficient information for informed decision making regarding multiplex carrier screening with most preferring a more detailed version of the consent. Individual attitudes rather than demographic variables influenced preferences regarding the amount of information that should be included in the generic consent. The findings have implications for how clinicians approach providing tailored informed consent.

Modeling climate effects on hip fracture rate by the multivariate GARCH model in Montreal region, Canada.

PubMed

Modarres, Reza; Ouarda, Taha B M J; Vanasse, Alain; Orzanco, Maria Gabriela; Gosselin, Pierre

2014-07-01

Changes in extreme meteorological variables and the demographic shift towards an older population have made it important to investigate the association of climate variables and hip fracture by advanced methods in order to determine the climate variables that most affect hip fracture incidence. The nonlinear autoregressive moving average with exogenous variable-generalized autoregressive conditional heteroscedasticity (ARMAX-GARCH) and multivariate GARCH (MGARCH) time series approaches were applied to investigate the nonlinear association between hip fracture rate in female and male patients aged 40-74 and 75+ years and climate variables in the period of 1993-2004, in Montreal, Canada. The models describe 50-56% of daily variation in hip fracture rate and identify snow depth, air temperature, day length and air pressure as the influencing variables on the time-varying mean and variance of the hip fracture rate. The conditional covariance between climate variables and hip fracture rate is increasing exponentially, showing that the effect of climate variables on hip fracture rate is most acute when rates are high and climate conditions are at their worst. In Montreal, climate variables, particularly snow depth and air temperature, appear to be important predictors of hip fracture incidence. The association of climate variables and hip fracture does not seem to change linearly with time, but increases exponentially under harsh climate conditions. The results of this study can be used to provide an adaptive climate-related public health program and ti guide allocation of services for avoiding hip fracture risk.

Modeling climate effects on hip fracture rate by the multivariate GARCH model in Montreal region, Canada

NASA Astrophysics Data System (ADS)

Modarres, Reza; Ouarda, Taha B. M. J.; Vanasse, Alain; Orzanco, Maria Gabriela; Gosselin, Pierre

2014-07-01

Changes in extreme meteorological variables and the demographic shift towards an older population have made it important to investigate the association of climate variables and hip fracture by advanced methods in order to determine the climate variables that most affect hip fracture incidence. The nonlinear autoregressive moving average with exogenous variable-generalized autoregressive conditional heteroscedasticity (ARMA X-GARCH) and multivariate GARCH (MGARCH) time series approaches were applied to investigate the nonlinear association between hip fracture rate in female and male patients aged 40-74 and 75+ years and climate variables in the period of 1993-2004, in Montreal, Canada. The models describe 50-56 % of daily variation in hip fracture rate and identify snow depth, air temperature, day length and air pressure as the influencing variables on the time-varying mean and variance of the hip fracture rate. The conditional covariance between climate variables and hip fracture rate is increasing exponentially, showing that the effect of climate variables on hip fracture rate is most acute when rates are high and climate conditions are at their worst. In Montreal, climate variables, particularly snow depth and air temperature, appear to be important predictors of hip fracture incidence. The association of climate variables and hip fracture does not seem to change linearly with time, but increases exponentially under harsh climate conditions. The results of this study can be used to provide an adaptive climate-related public health program and ti guide allocation of services for avoiding hip fracture risk.

Teacher and Student Variables Affecting Special Education Evaluation and Referral

ERIC Educational Resources Information Center

Woodson, Lorenzo Adrian

2017-01-01

Past research has revealed that African American/Black boys are referred for special education evaluation at disproportionately higher rates than boys of other racial/ethnic groups. This correlational study used survey methodology to examine whether student and teacher demographic variables predicted how likely a teacher would refer boy students…

Authentic Leadership and Emotional Intelligence: Predicting Student Success

ERIC Educational Resources Information Center

Jasso, Sonia Lizette

2016-01-01

Student success has been predicted conservatively, using academic, demographic, and economic variables. Since many colleges are feeling the pressure to produce more graduates, student success is at the forefront of all universities. This study looks to find a relationship between traditional and non-traditional variables. The objective of the…

State Test Results Are Predictable

ERIC Educational Resources Information Center

Tienken, Christopher H.

2014-01-01

Out-of-school, community demographic and family-level variables have an important influence on student achievement as measured by large-scale standardized tests. Studies described here demonstrated that about half of the test score is accounted for by variables outside the control of teachers and school administrators. The results from these…

Relationships between Motivations for Community Service Participation and Desire to Continue Service Following College

ERIC Educational Resources Information Center

Soria, Krista M.; Thomas-Card, Traci

2014-01-01

In this study, we explored whether college students' motivations for participating in community service were associated with their perceptions that service enhanced their desire to continue participating in communityfocused activities after graduation, after statistically controlling for demographic variables and other variables of interest.…

Predicting Social Trust with Binary Logistic Regression

ERIC Educational Resources Information Center

Adwere-Boamah, Joseph; Hufstedler, Shirley

2015-01-01

This study used binary logistic regression to predict social trust with five demographic variables from a national sample of adult individuals who participated in The General Social Survey (GSS) in 2012. The five predictor variables were respondents' highest degree earned, race, sex, general happiness and the importance of personally assisting…

Parent Interview Schedule.

ERIC Educational Resources Information Center

Purdue Univ., Lafayette, IN. Educational Research Center.

This 116-item interview schedule designed for parents who failed to respond to the Questionnaire for Parents, is individually administered to the mother of the child of elementary school age. It consists of scales measuring 14 parent variables plus a section devoted to demographic variables: (1) parent's achievement aspirations for the child, (2)…

Questionnaire for Parents.

ERIC Educational Resources Information Center

Purdue Univ., Lafayette, IN. Educational Research Center.

The 116-item parent questionnaire is designed for parents of elementary school children. It is intended to be used with the child's mother, or the person acting as the child's mother. The questionnaire consists of a section devoted to demographic variables and scales measuring 14 parent variables: (1) parent's achievement aspirations for the…

Ethnic and Demographic Variables and Achievement Scores of Preschool Children

ERIC Educational Resources Information Center

Scott, Ralph; Smith, James E.

1972-01-01

Findings suggest that family environmental process variables, as well as Ss' gain scores on the Concepts subtest of the Iowa Test of Preschool Development, are particularly sensitive measures than can be employed to identify children who are, or are not, profiting from cognitive-enrichment programs. (Author)

Determinants of Crime in Virginia: An Empirical Analysis

ERIC Educational Resources Information Center

Ali, Abdiweli M.; Peek, Willam

2009-01-01

This paper is an empirical analysis of the determinants of crime in Virginia. Over a dozen explanatory variables that current literature suggests as important determinants of crime are collected. The data is from 1970 to 2000. These include economic, fiscal, demographic, political, and social variables. The regression results indicate that crime…

Exploring Burnout in Batterer Intervention Programs

ERIC Educational Resources Information Center

Bahner, Angela D.; Berkel, LaVerne A.

2007-01-01

This study used the Maslach Burnout Inventory (MBI) to explore burnout in a sample of 115 batterer intervention program (BIP) workers (56% female, 44% male) from four midwestern states. The purpose of this study was to explore the role that demographic variables, job-setting variables, supervisor support, and personality characteristics played in…

A Study of Predictors of College Completion among SEEK Immigrant Students

ERIC Educational Resources Information Center

Nazon, Marie C.

2010-01-01

This study examined the strength of the relationship between eight situational and demographic variables and college completion among immigrant students in SEEK, an educational opportunity program. The eight variables studied as possible predictors of college completion included household composition, length of residency, English as a primary…

Developing a Predictive Metric to Assess School Viability

ERIC Educational Resources Information Center

James, John T.; Tichy, Karen L.; Collins, Alan; Schwob, John

2008-01-01

This article examines a wide range of parish school indicators that can be used to predict long-term viability. The study reported in this article explored the relationship between demographic variables, financial variables, and parish grade school closures in the Archdiocese of Saint Louis. Specifically, this study investigated whether…

Oral Health in a Sample of Pregnant Women from Northern Appalachia (2011–2015)

PubMed Central

Neiswanger, Katherine; McNeil, Daniel W.; Foxman, Betsy; Govil, Manika; Cooper, Margaret E.; Weyant, Robert J.; Shaffer, John R.; Crout, Richard J.; Simhan, Hyagriv N.; Beach, Scott R.; Chapman, Stella; Zovko, Jayme G.; Brown, Linda J.; Strotmeyer, Stephen J.; Maurer, Jennifer L.; Marazita, Mary L.

2015-01-01

Background. Chronic poor oral health has a high prevalence in Appalachia, a large region in the eastern USA. The Center for Oral Health Research in Appalachia (COHRA) has been enrolling pregnant women and their babies since 2011 in the COHRA2 study of genetic, microbial, and environmental factors involved in oral health in Northern Appalachia. Methods. The COHRA2 protocol is presented in detail, including inclusion criteria (healthy, adult, pregnant, US Caucasian, English speaking, and nonimmunocompromised women), recruiting (two sites: Pittsburgh, Pennsylvania, and West Virginia, USA), assessments (demographic, medical, dental, psychosocial/behavioral, and oral microbial samples and DNA), timelines (longitudinal from pregnancy to young childhood), quality control, and retention rates. Results. Preliminary oral health and demographic data are presented in 727 pregnant women, half from the greater Pittsburgh region and half from West Virginia. Despite similar tooth brushing and flossing habits, COHRA2 women in West Virginia have significantly worse oral health than the Pittsburgh sample. Women from Pittsburgh are older and more educated and have less unemployment than the West Virginia sample. Conclusions. We observed different prevalence of oral health and demographic variables between pregnant women from West Virginia (primarily rural) and Pittsburgh (primarily urban). These observations suggest site-specific differences within Northern Appalachia that warrant future studies. PMID:26089906

Baseline Socio-Demographic Characteristics and Self-Reported Diet and Physical Activity Shifts among Recent Immigrants Participating in the Randomized Controlled Lifestyle Intervention: “Live Well”

PubMed Central

Tovar, Alison; Boulos, Rebecca; Sliwa, Sarah; Must, Aviva; Gute, David M.; Metayer, Nesly; Hyatt, Raymond R.; Chui, Kenneth; Pirie, Alex; Luongo, Christina Kamis; Economos, Christina

2013-01-01

Background The goal of this paper is to describe the baseline characteristics of Live Well (intervention to prevent weight gain in recent immigrant mother-child dyads from Brazil, Haiti, and Latin America) participants, and to explore self-reported changes in diet and physical activity post-immigration. Methods Baseline data from 383 mothers were used for this study. Dyads attended a measurement day, where they completed self-administered surveys collecting information about socio-demographics, diet, physical activity, other psychosocial variables, and height and weight. Results Haitian mothers’ socio-demographic profile differed significantly from that of Brazilians’ and Latinas’: They have been in the US for a shorter period of time, have higher rates of unemployment, are less likely to be married, more likely to have ≥3 children, more likely to be obese, and have immigrated for family or other reasons. In multivariate models, self-reported changes in diet and physical activity since migrating to the US were significantly associated with BMI with non-linear relationships identified. Discussion Future research is needed to understand how shifts in diet and physical activity change in the process of acculturating to the US and explore adoption of both healthy and unhealthy dietary changes. PMID:23334749

Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey

PubMed Central

Kiejna, Andrzej; Piotrowski, Patryk; Misiak, Błażej; Adamowski, Tomasz; Schubert, Agata; Skrzekowska-Baran, Iwona; Frydecka, Dorota

2015-01-01

Background: Steady employment constitutes one of most important aspects of functional recovery in schizophrenia. Therefore, there is a need for understanding clinical and demographic factors predicting vocational status in schizophrenia. Methods: Clinical and demographic data of 1,010 schizophrenia patients were gathered from public outpatient clinics. We compared patients who maintained employment between the diagnosis time point and the day of assessment, with the patients who were employed in the diagnosis time point but were unemployed on the day of assessment with respect to clinical and demographic variables. Results: Lower educational attainment, lower-income region of residence, medical comorbidities (obesity, diabetes and hypertension), first hospitalization at inpatient unit in comparison with the day hospital, higher total number of hospitalizations and the number of inpatient hospitalizations were found to serve as predictors of unemployment throughout the course of schizophrenia. After application of Bonferroni correction and logistic binary regression analysis, lower educational attainment, higher number of inpatient hospitalizations and obesity predicted unemployment. Conclusion: Education, obesity and the number of inpatient hospitalizations seem to predict vocational outcome in schizophrenia. This study warrants further investigation of medical comorbidities in schizophrenia in terms of social consequences in order to indicate the direction of this relationship. PMID:25838338

Mammography use and its demographic correlates among women in South Korea.

PubMed

Suh, Eunyoung E; Park, Sunhee

2009-06-01

This study aimed to investigate the mammography rate and its demographic correlates among Korean women in order to provide basic understanding of factors related to the performance of mammography as a method of breast cancer screening. A descriptive secondary analysis was conducted using a national data set from the Korean National Health and Nutrition Examination Survey (KNHNES III) in South Korea. A total number of 2,602 women over 40 years of age were chosen for the analysis. Main research variables included the use of mammography, monthly income, residential area, age, marriage, education, insurance, smoking habits, drinking habits, job type, current health status, and other cancer screening results. Only 30.59% of women adhered to the national guidelines. Monthly income, age, education, insurance, and smoking habits had statistically significant effects on breast cancer screening performance. The demographic correlates of the performance of mammography highlight the fact that not all Korean women, at this stage, are in a socioeconomic or societal position to undergo biannual mammography screening. Targeted and tailored nursing intervention should be implemented in middle- and senior-aged women who lack the ability to access medical resources in South Korea. This will make it possible for marginalized women to utilize cancer screening tests and in turn promote their health.

Factors Associated with Hookah Use among Male High School Students: The Role of Demographic Characteristics and Hookah User and Non-User Prototypes.

PubMed

Bashirian, Saeed; Barati, Majid; Mohammadi, Younes; Mostafaei, Hossein

2016-01-01

As students' hookah use has become a widespread problem in the developing countries, it is time to understand the cognitive determinants of students' decisions to do so. This study aimed to investigate the roles of psychological and demographic factors associated with hookah use among male high school students. This descriptive-analytical study was performed among 601 high school male students, recruited through multistage sampling method in the Kermanshah City, west of Iran in 2016. The data-gathering tool consisted of a self-administered questionnaire with questions about hookah use behavior and demographic, behavioral and psychological variables. Data were analyzed using SPSS-18 software using chi-square and logistic regression. 36.1% of the participants reported ever hookah use and 17.1% mentioned using hookah in the past month. Pleasure (28.1%) and sensation seeking (22.5%) were common reasons of hookah use. In comparison to non-users, hookah users evaluated a typical hookah user as more clever, less immature, more popular, more attractive, more self-confident, more independent, and less selfish (P<0.001). The results revealed the importance of psychological factors when examining students' hookah use status. Thus, design and implementation of interventions might be effective in prevention of hookah use among students.

Clustering of Risk Factors for Non-Communicable Diseases among Adolescents from Southern Brazil

PubMed Central

2016-01-01

Introduction The aim of this study was to investigate the simultaneous presence of risk factors for non-communicable diseases and the association of these risk factors with demographic and economic factors among adolescents from southern Brazil. Methods The study included 916 students (14–19 years old) enrolled in the 2014 school year at state schools in São José, Santa Catarina, Brazil. Risk factors related to lifestyle (i.e., physical inactivity, excessive alcohol consumption, smoking, sedentary behaviour and unhealthy diet), demographic variables (sex, age and skin colour) and economic variables (school shift and economic level) were assessed through a questionnaire. Simultaneous behaviours were assessed by the ratio between observed and expected prevalences of risk factors for non-communicable diseases. The clustering of risk factors was analysed by multinomial logistic regression. The clusters of risk factors that showed a higher prevalence were analysed by binary logistic regression. Results The clustering of two, three, four, and five risk factors were found in 22.2%, 49.3%, 21.7% and 3.1% of adolescents, respectively. Subgroups that were more likely to have both behaviours of physical inactivity and unhealthy diet simultaneously were mostly composed of girls (OR = 3.03, 95% CI = 1.57–5.85) and those with lower socioeconomic status (OR = 1.83, 95% CI = 1.05–3.21); simultaneous physical inactivity, excessive alcohol consumption, sedentary behaviour and unhealthy diet were mainly observed among older adolescents (OR = 1.49, 95% CI = 1.05–2.12). Subgroups less likely to have both behaviours of sedentary behaviour and unhealthy diet were mostly composed of girls (OR = 0.58, 95% CI = 0.38–0.89); simultaneous physical inactivity, sedentary behaviour and unhealthy diet were mainly observed among older individuals (OR = 0.66, 95% CI = 0.49–0.87) and those of the night shift (OR = 0.59, 95% CI = 0.43–0.82). Conclusion Adolescents had a high prevalence of simultaneous risk factors for NCDs. Demographic (gender and age) and economic (school shift) variables were associated with the most prevalent simultaneous behaviours among adolescents. PMID:27434023

Effects of maltreatment and parental schizophrenia spectrum disorders on early childhood social-emotional functioning: a population record linkage study.

PubMed

Matheson, S L; Kariuki, M; Green, M J; Dean, K; Harris, F; Tzoumakis, S; Tarren-Sweeney, M; Brinkman, S; Chilvers, M; Sprague, T; Carr, V J; Laurens, K R

2017-12-01

Childhood maltreatment and a family history of a schizophrenia spectrum disorder (SSD) are each associated with social-emotional dysfunction in childhood. Both are also strong risk factors for adult SSDs, and social-emotional dysfunction in childhood may be an antecedent of these disorders. We used data from a large Australian population cohort to determine the independent and moderating effects of maltreatment and parental SSDs on early childhood social-emotional functioning. The New South Wales Child Development Study combines intergenerational multi-agency data using record linkage methods. Multiple measures of social-emotional functioning (social competency, prosocial/helping behaviour, anxious/fearful behaviour; aggressive behaviour, and hyperactivity/inattention) on 69 116 kindergarten children (age ~5 years) were linked with government records of child maltreatment and parental presentations to health services for SSD. Multivariable analyses investigated the association between maltreatment and social-emotional functioning, adjusting for demographic variables and parental SSD history, in the population sample and in sub-cohorts exposed and not exposed to parental SSD history. We also examined the association of parental SSD history and social-emotional functioning, adjusting for demographic variables and maltreatment. Medium-sized associations were identified between maltreatment and poor social competency, aggressive behaviour and hyperactivity/inattention; small associations were revealed between maltreatment and poor prosocial/helping and anxious/fearful behaviours. These associations did not differ greatly when adjusted for parental SSD, and were greater in magnitude among children with no history of parental SSD. Small associations between parental SSD and poor social-emotional functioning remained after adjusting for demographic variables and maltreatment. Childhood maltreatment and history of parental SSD are associated independently with poor early childhood social-emotional functioning, with the impact of exposure to maltreatment on social-emotional functioning in early childhood of greater magnitude than that observed for parental SSDs. The impact of maltreatment was reduced in the context of parental SSDs. The influence of parental SSDs on later outcomes of maltreated children may become more apparent during adolescence and young adulthood when overt symptoms of SSD are likely to emerge. Early intervention to strengthen childhood social-emotional functioning might mitigate the impact of maltreatment, and potentially also avert future psychopathology.

Vulnerability of white spruce tree growth in interior Alaska in response to climate variability: Dendrochronological, demographic, and experimental perspectives

USGS Publications Warehouse

McGuire, A. David; Ruess, Roger W.; Lloyd, A.; Yarie, J.; Clein, Joy S.; Juday, G.P.

2010-01-01

This paper integrates dendrochronological, demographic, and experimental perspectives to improve understanding of the response of white spruce (Picea glauca (Moench) Voss) tree growth to climatic variability in interior Alaska. The dendrochronological analyses indicate that climate warming has led to widespread declines in white spruce growth throughout interior Alaska that have become more prevalent during the 20th century. Similarly, demographic studies show that white spruce tree growth is substantially limited by soil moisture availability in both mid- and late-successional stands. Interannual variability in tree growth among stands within a landscape exhibits greater synchrony than does growth of trees that occupy different landscapes, which agrees with dendrochronological findings that the responses depend on landscape position and prevailing climate. In contrast, the results from 18 years of a summer moisture limitation experiment showed that growth in midsuccessional upland stands was unaffected by moisture limitation and that moisture limitation decreased white spruce growth in floodplain stands where it was expected that growth would be less vulnerable because of tree access to river water. Taken together, the evidence from the different perspectives analyzed in this study clearly indicates that white spruce tree growth in interior Alaska is vulnerable to the effects of warming on plant water balance.

[Drug expenditure in primary care: associated variables and allocation of drug budgets according to health district].

PubMed

García-Sempere, A; Peiró, S

2001-01-01

Identify factors explaining variability in prescribing costs after reviewing ecological data related to costs and socio-demographic characteristics of the health care zones in the autonomous region of Valencia, and explore the usefulness of using the model to set prescribing budgets in basic healthcare zones. An ecological analysis of the value socio-demographic characteristics and use of healthcare services to explain prescribing costs in 1997. Development of a prediction model based on multiple linear regression in data for prescribing costs in 1997 and validation in data for 1998. Factors that correlated positively with prescribing costs were the percentage of inhabitants over the age of 80, the death rate, the percentage of inhabitants with only primary education or less, the percentage of inhabitants between the ages of 65 and 79 and the distance from the capital city. A multivariate model including the death rate, the percentage of inhabitants 80 years of age and older, the number of cars per 100 inhabitants and number of visits per inhabitant accounted for 44.5% of the variations in prescribing costs in 1997 and 32% in 1998. Socio-demographic factors and certain variables associated with health care utilization can be applied, within certain limitations, to set prescribing budgets in basic healthcare zones.

Prevalence and associated risk factors of Kola nut chewing among secondary school students in Osogbo, Nigeria.

PubMed

Erinfolami, Adebayo; Eegunranti, Adekunle; Ogunsemi, Olawale; Oguntuase, Akin; Akinbode, Abiola; Erinfolami, Gloria

2011-02-22

The objectives of this study were to determine the prevalence and pattern of Kola nut use among secondary school students in Osogbo, Osun State, Nigeria. The study also aimed to determine the association of socio-demographic variables (of the students and their parents) with kola nut chewing. A questionnaire consisting of socio-demographic variables, the stimulant use section of the WHO Students Drug Use Questionnaire was administered on three hundred and eighty-five (385) randomly selected students of the two Local Government Areas of Osogbo. The prevalence rate of kola nut use was calculated and some socio demographic variables were determined. The 30-day prevalence rate of kola nut use was 11.2%. The one-year prevalence of kola nut use was 29.1 percent and the lifetime rate was 74.8 percent. Majority of users started at age 14 years or below. Kola nut use was associated with lower age group, poor school attendance, polygamous background, low education of mother, high education of father and the description of mother as being too permissive. The findings suggest the need to increase the awareness of the dangers of kolanut use among adolescents. Control program are urgently needed to prevent student wastage.

Relationship between food insecurity and nutritional status of Brazilian children under the age of five.

PubMed

Santos, Leonardo Pozza dos; Gigante, Denise Petrucci

2013-12-01

The aim of this study was to investigate the relationship between food insecurity and nutritional status of Brazilian children. The National Demographic and Health Survey 2006 database is available on the worldwide web. Thus, the analyzed variables were obtained in this study, including nutritional indices, food insecurity and other socioeconomic and demographic variables. The height-for-age, weight-for-age and weight-for-height indices were evaluated as the Z-score of the World Health Organization reference curves. Food insecurity was defined by using the Brazilian Food Insecurity Scale. Averages of three indices according to the presence of food insecurity were analyzed, including other variables. Linear regression evaluated the effect of food insecurity on the Z-score of the three nutritional indices. The sample included 4,817 children, out of whom 7% had deficit in height, 7% were overweight and 47% had food insecurity. It was found that the average of height-for-age, weight-for-age and weight-for-height were -0.31, 0.12 and 0.40, respectively, being lower among children with food insecurity. The regression analysis showed that children living with some level of food insecurity have worse rates of height-for-age, even controlling for demographic and socioeconomic factors.

The impact of long working hours on psychosocial stress response among white-collar workers.

PubMed

Lee, Kyungjin; Suh, Chunhui; Kim, Jong-Eun; Park, Jae Oh

2017-02-07

This study examined the association between long working hours and psychosocial stress responses. In total, 1,122 white-collar workers from a company in Korea completed self-administered questionnaires following a lecture about the study aim, procedures, and confidentiality. Psychosocial stress responses were evaluated using the Psychosocial Well-being Index - Short Form (PWI-SF), and psychosocial working conditions were evaluated with the Korean Occupational Stress Scale - Short Form (KOSS-SF). Multivariate logistic regression analysis was performed after adjusting for demographic variables and psychosocial working conditions to examine associations between long working hours and psychosocial stress responses. In comparison with the reference group, which worked 40-44 hours per week, the crude odds ratio (OR) of the respondents who worked 60 or more hours was 4.56 (95% confidence interval (CI), 2.55-8.15) in terms of psychosocial stress responses. After adjusting for demographic variables, the adjusted OR of those working ≥60 hours was 5.61 (95% CI, 3.01-10.47). After adjusting for both demographic variables and psychosocial working conditions, the adjusted OR of those working ≥60 hours was 3.25 (95% CI, 1.56-6.79). This study found that long working hours are significantly related to psychosocial stress responses among white-collar workers in one Korean company.

Associations between beliefs about and reactions toward people who stutter.

PubMed

Arnold, Hayley S; Li, Jian

2016-03-01

This study sought to assess whether beliefs about people who stutter (PWS) predict intended behavioral and affective reactions toward them in a large and varied sample of respondents while taking into account familiarity with PWS and the demographic variables of age, education, and gender. Analyses were based on 2206 residents of the United States of America. The seemingly unrelated regression (SUR) technique was used to test the relationship between beliefs about PWS and behavioral and affective reactions toward PWS. Variables such as familiarity with PWS and demographic data were also controlled in the statistical model. Findings indicated that, when demographic variables and familiarity were taken into account, the accuracy of participants' beliefs about PWS significantly predicted their intended behavioral and affective reactions toward PWS. The participants' gender and familiarity with PWS were also associated with these reactions toward PWS. The finding of an association between beliefs and intended reactions validates attempts to improve public treatment of PWS through improving the accuracy of beliefs about PWS. Additionally, because familiarity with PWS is a significant predictor of helpful and positive reactions toward PWS, interventions involving PWS educating others through direct interpersonal interactions may be one effective way to improve public reactions toward individuals who stutter. Copyright © 2016 Elsevier Inc. All rights reserved.

Adolescent BMI at Northern Israel: From Trends, to Associated Variables and Comorbidities, and to Medical Signatures.

PubMed

Machluf, Yossy; Fink, Daniel; Farkash, Rivka; Rotkopf, Ron; Pirogovsky, Avinoam; Tal, Orna; Shohat, Tamar; Weisz, Giora; Ringler, Erez; Dagan, David; Chaiter, Yoram

2016-03-01

The increasing prevalence of abnormal body mass index (BMI), mainly obesity, is becoming a significant public health problem. This cross-sectional study aimed to provide a comprehensive view of secular trends of BMI, and the associated socio-demographic variables and comorbidities among adolescents with abnormal BMI. Individuals of the study population were born mainly between 1970 and 1993, and were examined at 16 to 19 years of age during the years 1987 to 2010, at 1 conscription center in the northern district of Israel.The study population included 113,694 adolescents. Univariate and multivariable logistic regression models were used to investigate the associations between BMI categories, socio-demographic variables, and medical conditions.A downward trend in the prevalence of normal BMI among both male and female adolescents was obtained, while trends of overweight and obesity (in both genders) and underweight (only among females) rose. Socio-demographic variables such as religion, education, family-related parameters, residential environment, country of birth, and origin were all associated with different risks for abnormal BMI. Obesity was associated with higher risk for hyperlipidemia, endocrine disorders (only in males), knee disorders, and hypertension type I + II (in both genders). Overweight was associated with knee disorders (only in females). Underweight, exclusively in males, was associated with increased risk for endocrine disorders, proteinuria, and cardiac disorders. Hierarchical clustering analysis revealed the intricate relations between gender, BMI, and medical signatures. It brought to light novel clusters of diseases that were abundant among populations having above-normal BMI or underweight males. Furthermore, above-normal BMI was associated with a lower rate of cardiac anomalies and scoliosis/kyphosis, whereas being underweight was associated with a lower risk for hypertension and flat foot.This study provides a reliable and in-depth view of secular trends in height, weight, and BMI of male and female adolescents. It supports previous associations between abnormal BMI and demographic variables and comorbidities, while uncovering novel associations, mainly regarding medical signatures of each gender-BMI group. This might lead to better monitoring, early detection, prevention, and treatment of various conditions associated to abnormal BMI categories and gender groups.

Validity of self-reported mechanical demands for occupational epidemiologic research of musculoskeletal disorders

PubMed Central

Barrero, Lope H; Katz, Jeffrey N; Dennerlein, Jack T

2012-01-01

Objectives To describe the relation of the measured validity of self-reported mechanical demands (self-reports) with the quality of validity assessments and the variability of the assessed exposure in the study population. Methods We searched for original articles, published between 1990 and 2008, reporting the validity of self-reports in three major databases: EBSCOhost, Web of Science, and PubMed. Identified assessments were classified by methodological characteristics (eg, type of self-report and reference method) and exposure dimension was measured. We also classified assessments by the degree of comparability between the self-report and the employed reference method, and the variability of the assessed exposure in the study population. Finally, we examined the association of the published validity (r) with this degree of comparability, as well as with the variability of the exposure variable in the study population. Results Of the 490 assessments identified, 75% used observation-based reference measures and 55% tested self-reports of posture duration and movement frequency. Frequently, validity studies did not report demographic information (eg, education, age, and gender distribution). Among assessments reporting correlations as a measure of validity, studies with a better match between the self-report and the reference method, and studies conducted in more heterogeneous populations tended to report higher correlations [odds ratio (OR) 2.03, 95% confidence interval (95% CI) 0.89–4.65 and OR 1.60, 95% CI 0.96–2.61, respectively]. Conclusions The reported data support the hypothesis that validity depends on study-specific factors often not examined. Experimentally manipulating the testing setting could lead to a better understanding of the capabilities and limitations of self-reported information. PMID:19562235

Morning-evening type and burnout level as factors influencing sleep quality of shift nurses: a questionnaire study

PubMed Central

Demir Zencirci, Ayten; Arslan, Sümeyye

2011-01-01

Aim To assess the relationship between sleep quality and demographic variables, morning-evening type, and burnout in nurses who work shifts. Methods We carried out a cross-sectional self-administered study with forced choice and open-ended structured questionnaires – Pittsburg Sleep Quality Index, Morningness-eveningness Questionnaire, and Maslach Burnout Inventory. The study was carried out at Gazi University Medicine Faculty Hospital of Ankara on 524 invited nurses from July to September 2008, with a response rate of 89.94% (n = 483). Descriptive and inferential statistics were applied to determine the risk factors of poor sleep quality. Results Most socio-demographic variables did not affect sleep quality. Participants with poor sleep quality had quite high burnout levels. Most nurses who belonged to a type that is neither morning nor evening had poor sleep quality. Nurses who experienced an incident worsening their sleep patterns (P < 0.001) and needlestick or sharp object injuries (P = 0.010) in the last month had poor sleep quality. The subjective sleep quality and sleep latency points of evening types within created models for the effect of burnout dimensions were high. Conclusions Nurses working consistently either in the morning or at night had better sleep quality than those working rotating shifts. Further studies are still needed to develop interventions that improve sleep quality and decrease burnout in nurses working shifts. PMID:21853548

Determinants of Resource Needs and Utilization Among Refugees Over Time

PubMed Central

Wright, A. Michelle; Aldhalimi, Abir; Lumley, Mark A.; Jamil, Hikmet; Pole, Nnamdi; Arnetz, Judith E.; Arnetz, Bengt B.

2015-01-01

Purpose This study examined refugees’ resource needs and utilization over time, investigated the relationships between pre-displacement/socio-demographic variables and resource needs and utilization, and explored the role of resource needs and utilization on psychiatric symptom trajectories. Methods Iraqi refugees to the United States (N=298) were assessed upon arrival and at 1-year intervals for two years for socio-demographic variables and pre-displacement trauma experiences, their need for and utilization of 14 different resources, and PTSD and depressive symptoms. Results Although refugees reported reduction of some needs over time (e.g., need for cash assistance declined from 99% to 71%), other needs remained high (e.g., 99% of refugees reported a need for health care at the 2-year interview). Generally, the lowest needs were reported after 2 years, and the highest utilization occurred during the first year post-arrival. Pre-displacement trauma exposure predicted high health care needs but not high health care utilization. Both high need for and use of health care predicted increasing PTSD and depressive symptoms. Specifically, increased use of psychological care across the three measurement waves predicted more PTSD and depression symptoms at the 2-year interview. Conclusions Differences emerged between need for and actual use of resources, especially for highly trauma-exposed refugees. Resettlement agencies and assistance programs should consider the complex relationships between resource needs, resource utilization, and mental health during the early resettlement period. PMID:26370213

The Impact of General Medical Conditions in Obsessive-Compulsive Disorder

PubMed Central

Aguglia, Andrea; Signorelli, Maria Salvina; Albert, Umberto; Maina, Giuseppe

2018-01-01

Objective The co-occurrence of general medical conditions (GMCs) and major psychiatric disorders is well documented. The aim of this study was to assess the prevalence of GMCs in patients with a primary diagnosis of obsessive-compulsive disorder (OCD) and, secondly, to investigate which clinical variables are associated with the presence of a GMC. Methods Subjects with a primary diagnosis of OCD were included. Socio-demographic and clinical characteristics were collected. GMCs were classified using the ICD-10 and grouped according to the Cumulative Illness Rating Scale (CIRS) in: cardiac, vascular, hematopoietic, respiratory, ear/nose/throat, upper and lower gastrointestinal, hepatic, renal, genitourinary, musculoskeletal, neurologic, endocrine/metabolic. The association between the presence of GMCs and demographic/clinical variables of OCD was investigated. Results A total of 162 patients with OCD were included. 78 (48.1%) patients had at least one comorbid GMC. Most frequent GMCs were endocrine/metabolic diseases (25.9%), followed by upper/lower gastrointestinal (20.5%) and cardio-vascular diseases (13.6%). The presence of a GMC was significantly associated with female gender, older age, duration of untreated illness (DUI), and absence of physical activity. Conclusion Patients with OCD have high rates of comorbid GMCs. A longer DUI is associated with having at least one GMCs; this might be due to the long-lasting adoption of unhealthy lifestyles, not counterbalanced by appropriate treatment and psychoeducation. PMID:29475243

Brazilian infant motor and cognitive development: Longitudinal influence of risk factors.

PubMed

Pereira, Keila Rg; Valentini, Nadia C; Saccani, Raquel

2016-12-01

Infant developmental delays have been associated with several risk factors, such as familial environmental, individual and demographic characteristics. The goal of this study was to longitudinally investigate the effects of maternal knowledge and practices, home environment and biological factors on infant motor and cognitive outcomes. This was a prospective cohort study with a sample of 49 infants from Southern Brazil. The infants were assessed three times over 4 months using the Alberta Infant Motor Scale and the Bayley Scale of Infant Development (Mental Development Scale). Parents completed the Daily Activities Scale of Infants, the Affordances in The Home Environment for Motor Development - Infant Scale, the Knowledge of Infant Development Inventory and a demographic questionnaire. Generalized estimating equation with Bonferroni method as the follow-up test and Spearman correlation and multivariate linear backward regression were used. Cognitive and motor scores were strongly associated longitudinally and increased over time. Associations between the home affordances, parental practices and knowledge, and motor and cognitive development over time were observed. This relationship explained more variability in motor and cognitive scores compared with biological factors. Variability in motor and cognitive development is better explained by environment and parental knowledge and practice. The investigation of factors associated with infant development allows the identification of infants at risk and the implementation of educational programs and parental training to minimize the effects of developmental delay. © 2016 Japan Pediatric Society.

Breast feeding self-efficacy and other determinants of the duration of breast feeding in a cohort of first-time mothers in Adelaide, Australia.

PubMed

Baghurst, Peter; Pincombe, Jan; Peat, Brian; Henderson, Ann; Reddin, Edith; Antoniou, Georgia

2007-12-01

to assess the ability of a Breast-Feeding Self-Efficacy Scale (BSES) score measured at 1 week postpartum to predict the duration of breast-feeding in first-time mothers, and to develop a minimal set of potential confounders, including the BSES and demographic variables, for comparing the apparent effect of other influences on the duration of breast-feeding. a prospective cohort study, with primary outcome the duration of breast feeding up to 6 months postpartum. 317 women who had given birth to their first baby (at term) in a large teaching maternity hospital in Adelaide, South Australia, during the period March to November, 2003. the BSES at 1 week postpartum was a strong predictor of the duration of breast-feeding in these first-time mothers. Its ability to predict the duration of breast-feeding was largely independent of the other factors (intended duration of breast-feeding, mother's level of education, country of birth, housing situation, smoking status and method of delivery), which were also found to be significant predictors of breast-feeding duration. the BSES (including a new short form version) has been confirmed by our study as an important instrument for identifying women at risk of early cessation of breast-feeding. Together with other demographic variables, it should be useful for targeting limited resources to those most in need.

Counterfactual Reasoning Deficits in Schizophrenia Patients

PubMed Central

Castellví, Pere; Caño, Agnès; Benejam, Bessy

2016-01-01

Background Counterfactual thinking is a specific type of conditional reasoning that enables the generation of mental simulations of alternatives to past factual events. Although it has been broadly studied in the general population, research on schizophrenia is still scarce. The aim of the current study was to further examine counterfactual reasoning in this illness. Methods Forty schizophrenia patients and 40 controls completed a series of tests that assessed the influence of the “causal order effect” on counterfactual thinking, and the ability to generate counterfactual thoughts and counterfactually derive inferences from a hypothetical situation. Socio-demographic and clinical characteristics, as well as neurocognitive variables, were also examined. Results Compared to controls, the schizophrenia patients generated fewer counterfactual thoughts when faced with a simulated scenario. The pattern of response when assessing the causality effect of the order was also different between the groups, with the patients being more frequently unable to attribute any ordering of events than the control subjects. Additionally, the schizophrenia patients showed more difficulties when deriving normative counterfactual inferences from hypothetical social situations. None of the counterfactual reasoning measures was associated to any of the cognitive functions or clinical and socio-demographic variables assessed. Conclusions A global impairment in counterfactual thinking characterizes schizophrenia patients. Because of the potential impact of such deficits on psychosocial functioning, targeting counterfactual reasoning for improvement might be considered in future treatment approaches. PMID:26828931

Unpacking the public stigma of problem gambling: The process of stigma creation and predictors of social distancing.

PubMed

Hing, Nerilee; Russell, Alex M T; Gainsbury, Sally M

2016-09-01

Background and aims Public stigma diminishes the health of stigmatized populations, so it is critical to understand how and why stigma occurs to inform stigma reduction measures. This study aimed to examine stigmatizing attitudes held toward people experiencing problem gambling, to examine whether specific elements co-occur to create this public stigma, and to model explanatory variables of this public stigma. Methods An online panel of adults from Victoria, Australia (N = 2,000) was surveyed. Measures were based on a vignette for problem gambling and included demographics, gambling behavior, perceived dimensions of problem gambling, stereotyping, social distancing, emotional reactions, and perceived devaluation and discrimination. A hierarchical linear regression was conducted. Results People with gambling problems attracted substantial negative stereotypes, social distancing, emotional reactions, and status loss/discrimination. These elements were associated with desired social distance, as was perceived that problem gambling is caused by bad character, and is perilous, non-recoverable, and disruptive. Level of contact with problem gambling, gambling involvement, and some demographic variables was significantly associated with social distance, but they explained little additional variance. Discussion and conclusions This study contributes to the understanding of how and why people experiencing gambling problems are stigmatized. Results suggest the need to increase public contact with such people, avoid perpetuation of stereotypes in media and public health communications, and reduce devaluing and discriminating attitudes and behaviors.

Testing the cultural theory of risk in France

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brenot, J.; Bonnefous, S.; Marris, C.

1998-12-01

Cultural Theory, as developed by Mary Douglas, argues that differing risk perceptions can be explained by reference to four distinct cultural biases: hierarchy, egalitarianism, individualism, and fatalism. This paper presents empirical results from a quantitative survey based on a questionnaire devised by Karl Dake to measure these cultural biases. A large representative sample was used to test this instrument in the French social context. Correlations between cultural biases and perceptions of 20 social and environmental risks were examined. These correlations were very weak, but were statistically significant: cultural biases explained 6%, at most, of the variance in risk perceptions. Standardmore » socio-demographic variables were also weakly related to risk perceptions (especially gender, social class, and education), and cultural biases and socio-demographic variables were themselves intercorrelated (especially with age, social class, and political outlook). The authors compare these results with surveys conducted in other countries using the same instrument and conclude that new methods, more qualitative and contextual, still need to be developed to investigate the cultural dimensions of risk perceptions. The paper also discusses relationships between perceptions of personal and residual risk, and between perceived risk and demand for additional safety measures. These three dimensions were generally closely related, but interesting differences were observed for some risk issues. Included in the list of risk perceptions were pollution, hazardous materials, and radioactive wastes.« less

Social marketing meets health literacy: Innovative improvement of health care providers’ comfort with patient interaction

PubMed Central

Primack, Brian A.; Bui, Thuy; Fertman, Carl I.

2010-01-01

Objective It is essential to train health care providers to deliver care sensitive to the needs of diverse individuals with varying degrees of health literacy. We aimed to evaluate an innovative, theory-based, educational intervention involving social marketing and health literacy. Methods In 2006 at a large medical school, all first-year students were exposed to the intervention. They completed pre- and post-test anonymous surveys including demographic data, covariates, and key outcome variables. Paired t-tests and multiple linear regression were used to evaluate the intervention and to determine independent associations among the key outcome variables. Results Post-intervention scores were significantly higher than pre-intervention scores for social marketing (3.31 versus 1.90, p < 0.001), health literacy (3.41 versus 2.98, p < 0.001), and comfort in brochure development (3.11 versus 2.52, p < 0.001) (N = 83). After controlling for demographic and covariate data, health literacy and comfort in brochure development were independent predictors of comfort interacting with diverse populations. Conclusion A brief intervention involving social marketing and health literacy can improve skills that improve medical students’ comfort with patients of diverse backgrounds. Practice implications Health care providers can be taught educational principles and skills involved in developing effective patient education materials. These skills may improve providers’ comfort with direct patient interaction. PMID:17418522

Hope in the Context of Lung Cancer: Relationships of Hope to Symptoms and Psychological Distress

PubMed Central

Berendes, David; Keefe, Francis J.; Somers, Tamara J.; Kothadia, Sejal M.; Porter, Laura S.; Cheavens, Jennifer S.

2010-01-01

Context Hope may be important in explaining the variability in how patients adjust to lung cancer. Objectives The aim of this study was to examine how hope, as conceptualized by Snyder and colleagues, is associated with multiple indices of adjustment to lung cancer. This theoretical model of hope suggests that people with high levels of hope are able to think about the pathways to goals (pathways) and feel confident that they can pursue those pathways to reach their goals (agency). Methods We hypothesized that higher levels of hope, as measured by Snyder et al.’s hope scale, would be related to lower levels of pain and other lung cancer symptoms (i.e., fatigue, cough) and lower psychological distress (i.e., depression). Participants in this study included patients with a diagnosis of lung cancer (n = 51). All participants provided demographic and medical information and completed measures of hope, lung cancer symptoms, and psychological distress. Results Data analyses found that hope was inversely associated with major symptoms of cancer (i.e., pain, fatigue, cough) and psychological distress (i.e., depression), even after accounting for important demographic and medical variables (i.e., age, cancer stage). Conclusion The findings of this cross-sectional study highlight the potential importance of hope in understanding adjustment to lung cancer. Future longitudinal research could help reveal how hope and adjustment interact over the course of cancer survivorship. PMID:20579840

Unpacking the public stigma of problem gambling: The process of stigma creation and predictors of social distancing

PubMed Central

Hing, Nerilee; Russell, Alex M. T.; Gainsbury, Sally M.

2016-01-01

Background and aims Public stigma diminishes the health of stigmatized populations, so it is critical to understand how and why stigma occurs to inform stigma reduction measures. This study aimed to examine stigmatizing attitudes held toward people experiencing problem gambling, to examine whether specific elements co-occur to create this public stigma, and to model explanatory variables of this public stigma. Methods An online panel of adults from Victoria, Australia (N = 2,000) was surveyed. Measures were based on a vignette for problem gambling and included demographics, gambling behavior, perceived dimensions of problem gambling, stereotyping, social distancing, emotional reactions, and perceived devaluation and discrimination. A hierarchical linear regression was conducted. Results People with gambling problems attracted substantial negative stereotypes, social distancing, emotional reactions, and status loss/discrimination. These elements were associated with desired social distance, as was perceived that problem gambling is caused by bad character, and is perilous, non-recoverable, and disruptive. Level of contact with problem gambling, gambling involvement, and some demographic variables was significantly associated with social distance, but they explained little additional variance. Discussion and conclusions This study contributes to the understanding of how and why people experiencing gambling problems are stigmatized. Results suggest the need to increase public contact with such people, avoid perpetuation of stereotypes in media and public health communications, and reduce devaluing and discriminating attitudes and behaviors. PMID:27513611

Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.

PubMed

Borzouei, Shiva; Soltanian, Ali Reza

2018-01-01

To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model. This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artificial neural network was used to identify demographic risk factors for T2DM and their importance. The DeLong method was used to compare the models by fitting in sequential steps. Variables found to be significant at a level of p<0.2 in a univariate logistic regression analysis (age, hypertension, waist circumference, body mass index [BMI], sedentary lifestyle, smoking, vegetable consumption, family history of T2DM, stress, walking, fruit consumption, and sex) were entered into the model. After 7 stages of neural network modeling, only waist circumference (100.0%), age (78.5%), BMI (78.2%), hypertension (69.4%), stress (54.2%), smoking (49.3%), and a family history of T2DM (37.2%) were identified as predictors of the diagnosis of T2DM. In this study, waist circumference and age were the most important predictors of T2DM. Due to the sensitivity, specificity, and accuracy of the final model, it is suggested that these variables should be used for T2DM risk assessment in screening tests.