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Panjwani, Anita A.; Ji, Yuelong; Fahey, Jed W.; Palmer, Amanda; Wang, Guoying; Hong, Xiumei; Zuckerman, Barry; Wang, Xiaobin – Journal of Autism and Developmental Disorders, 2020
In contrast to the well-observed associations between obesity, diabetes, and autism spectrum disorder (ASD), the roles of maternal dyslipidemia and sex disparity in ASD have not been well-studied. We examined the joint associations of maternal plasma cholesterols, branched-chain amino acids (BCAAs) and child sex on child ASD risk. We analyzed data…
Descriptors: Obesity, Diabetes, Autism, Pervasive Developmental Disorders
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Abshire, Demetrius A.; Graves, Janessa M.; Dawson, Robin M. – Journal of American College Health, 2020
Objective: To examine rural-urban differences in college students' cardiovascular risk perceptions. Participants: College students in rural (n = 61) and urban (n = 57) Kentucky counties were recruited from November 2012 to May 2014. Methods: This was a secondary data analysis of a cross-sectional study examining rural-urban differences in…
Descriptors: Rural Urban Differences, College Students, Student Attitudes, Risk
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Folch, Annabel; Salvador-Carulla, Luis; Vicens, Paloma; Cortés, Maria José; Irazábal, Marcia; Muñoz, Silvia; Rovira, Lluís; Orejuela, Carmen; González, Juan A.; Martínez-Leal, Rafael – Journal of Applied Research in Intellectual Disabilities, 2019
Background: The aim of this paper was to summarize the main results of the POMONA-ESP project, the first study to explore health status in a large representative, randomized and stratified sample of people with intellectual developmental disorders in Spain. Methods: The POMONA-ESP project collected information about the health of 953 individuals…
Descriptors: Health, Intellectual Disability, Health Services, Drug Therapy
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Ranjan, Sobhana; Nasser, Jennifer A.; Fisher, Kathleen – Journal of Applied Research in Intellectual Disabilities, 2018
Background: The prevalence of being overweight and obese is increasing not just in the general population but also in individuals with intellectual disability (ID). Therefore, a need to identify factors contributing to overweight/obesity arises as this population is escalating. Materials and Methods: This narrative review article summarizes…
Descriptors: Adults, Intellectual Disability, Incidence, Obesity
Montana Office of Public Instruction, 2021
Montana is proud to have completed over three decades of participation in the Youth Risk Behavior Survey (YRBS). These results are valuable to educators, school boards, and communities, including parents and students, in understanding the health risks of Montana students, enabling districts to design local health and physical education curriculum…
Descriptors: National Surveys, High School Students, Health Behavior, Risk
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Zhang, Jing; Zhang, YunTing; Jiang, YanRui; Sun, WanQi; Zhu, Qi; Ip, Patrick; Zhang, DongLan; Liu, ShiJian; Chen, Chang; Chen, Jie; Zhang, Lei; Zhang, Hao; Tang, MingYu; Dong, WenFang; Wu, YuFeng; Yin, Yong; Jiang, Fan – Journal of School Health, 2018
Background: This was a cross-sectional survey to investigate the relationship of age, parent education, sleep duration, physical activity, and dietary habits with overweight or obesity in school-age children in Shanghai. Methods: The survey gathered information from 13,001 children in grades 1 through 5 (age 6 to 10 years) among 26 elementary…
Descriptors: Sleep, Eating Habits, Elementary School Students, Questionnaires
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Rouse, Heather; Goudie, Anthony; Rettiganti, Mallik; Leath, Katherine; Riser, Quentin; Thompson, Joseph – Journal of School Health, 2019
Background: We examined prevalence, incidence, and trajectory of obesity from kindergarten through grade 8 in one of the first states to implement annual surveillance. Methods: Participants included 16,414 children enrolled in kindergarten in Arkansas in 2004 with complete body mass index (BMI) measurements in kindergarten and eighth grade.…
Descriptors: Incidence, Longitudinal Studies, Obesity, Kindergarten
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Fleary, Sasha A. – Journal of School Health, 2017
Background: Several studies have used latent class analyses to explore obesogenic behaviors and substance use in adolescents independently. We explored a variety of health risks jointly to identify distinct patterns of risk behaviors among adolescents. Methods: Latent class models were estimated using Youth Risk Behavior Surveillance System…
Descriptors: Gender Differences, Obesity, Physical Activity Level, Risk
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Amuta, Ann O.; Jacobs, Wura; Barry, Adam E.; Popoola, Olufemi A.; Crosslin, Katie – American Journal of Health Education, 2016
Background: Obesity prevalence among children and adolescents has dramatically increased in the past decade and has resulted in higher rates of type 2 diabetes mellitus (T2DM) among adolescents. Purpose: To examine whether there are gender differences in T2DM risk perception, attitude toward T2DM protective behaviors, physical activity, and…
Descriptors: Gender Differences, Health Behavior, Diabetes, Risk
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Santos, Silvia J.; Hurtado-Ortiz, Maria T.; Armendariz, Marina; vanTwist, Victoria; Castillo, Yessenia – Journal of Hispanic Higher Education, 2017
This study examined within-group differences in obesity-related dietary behaviors and the health status of 156 Latino students at risk for diabetes due to family history. Approximately 58% of students were overweight and/or obese, with female students reporting a greater risk for diabetes. Consumption of meats, fried potatoes, breads, and…
Descriptors: Obesity, Diabetes, Hispanic Americans, Eating Habits
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Beck, Jimikaye; De Witt, Peter; McNally, Janise; Siegfried, Scott; Hill, James O; Stroebele-Benschop, Nanette – Health Education Journal, 2015
Objective: Childhood obesity represents a significant public health problem. This study examined physical activity and nutrition behaviours and attitudes of 9-11-year-olds, and factors influencing these behaviours. Design: Study participants recorded pedometer steps for 7 days and completed physical activity enjoyment, food attitudes and food…
Descriptors: Obesity, Eating Habits, Physical Activities, Public Health
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Huang, David Y. C.; Lanza, H. Isabella; Wright-Volel, Kynna; Anglin, M. Douglas – Journal of Adolescence, 2013
Using group-based trajectory modeling, this study examined 5156 adolescents from the child sample of the 1979 National Longitudinal Survey of Youth to identify developmental trajectories of obesity from ages 6-18 and evaluate associations of such trajectories with risk behaviors and psychosocial health in adolescence. Four distinctive obesity…
Descriptors: Smoking, Adolescents, Drinking, Obesity
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Wyatt, Laura C.; Trinh-Shevrin, Chau; Islam, Nadia S.; Kwon, Simona C. – Health Education & Behavior, 2014
Although the New York City Chinese population aged =65 years increased by 50% between 2000 and 2010, the health needs of this population are poorly understood. Approximately 3,001 Chinese individuals from high-density Asian American New York City areas were included in the REACH U.S. Risk Factor Survey; 805 (26.8%) were aged =65 years and…
Descriptors: Health Behavior, Quality of Life, Gender Differences, Risk
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Burusic, Josip; Sakic, Marija; Koprtla, Natalija – Health Education Journal, 2014
Objective: The aim of this study was to explore parental perceptions of adolescent health behaviours and to examine to what extent parents' perceptions of their children's health behaviours are determined by the family's socio-demographic characteristics. Method: Participants in the study were 605 parents. They completed questionnaires in which…
Descriptors: Parent Attitudes, High School Students, Health Behavior, Eating Habits
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Hertz, Marci Feldman; Everett Jones, Sherry; Barrios, Lisa; David-Ferdon, Corinne; Holt, Melissa – Journal of School Health, 2015
Background: Childhood exposure to adverse experiences has been associated with adult asthma, smoking, sexually transmitted disease, obesity, substance use, depression, and sleep disturbances. Conceptualizing bullying as an adverse childhood experience, 2011 Youth Risk Behavior Survey (YRBS) data were used to examine the relationship between…
Descriptors: Bullying, Victims, Correlation, At Risk Persons
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