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Direct linkZequn Zheng; Dihui Cai – Journal of Attention Disorders, 2025
Background: While observational studies have established a connection between attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and heightened risk for cardiovascular diseases (CVD), the causal relationships are not well-defined. This study is designed to examine the causality between ASD, ADHD, and CVD risk as well…
Descriptors: Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders, Heart Disorders, Correlation
Al Banna, Md. Hasan; Brazendale, Keith; Hasan, Mehedi; Khan, Md Shafiqul Islam; Sayeed, Abu; Kundu, Satyajit – Journal of American College Health, 2022
Objectives: Overweight and obesity has an adverse effect on public health, and emerging adulthood (18-25 years) is recognized as a potential period for the onset of obesity, thus, this study aimed to explore risk factors associated with overweight and obesity in Bangladeshi university students. Participants: Bangladeshi university students (n =…
Descriptors: Foreign Countries, Obesity, Risk, College Students
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
DeHondt, Benjamin G.; Madi, Samar A.; Drignei, Dorin; Buchan, Duncan S.; Brown, Elise C. – Measurement in Physical Education and Exercise Science, 2023
Identification of cardiometabolic risk (CMR) in U.S. younger population by assessing muscular strength via handgrip (HG) dynamometry may aid in prevention efforts. Currently, no nationally representative HG cut-points are available for identifying increased CMR in U.S. adolescents or young adults. In this study, we propose normalized grip strength…
Descriptors: Muscular Strength, Adolescents, Young Adults, Screening Tests
Tomayko, Emily J.; Thompson, Paul N.; Smith, Madeleine C.; Gunter, Katherine B.; Schuna, John M., Jr. – Journal of School Health, 2021
Background: Four-day school week (FDSW) use has increased substantially among US districts in recent years, but limited data exist on health impacts of this school schedule. This study examined associations of reduced school exposure via FDSWs with adolescent health and risk behaviors, obesity, and food security. Methods: Self-report data from…
Descriptors: Adolescents, Health Behavior, Food, Dietetics
Kiani Asiabar, Azita; Amin Shokravi, Farkhondeh; Hajifaraji, Majid; Zayeri, Farid – Health Education Research, 2018
Gaining weight above the Institute of Medicine recommended range contributes to the development of obesity, which increases risk for diseases. We evaluated the effectiveness of an educational program with the spouse's participation on the optimal gestational weight gain (GWG) in pregnancy. We conducted a randomized controlled trial on 128…
Descriptors: Foreign Countries, Experimental Groups, Control Groups, Intervention
Kahathuduwa, Chanaka N.; West, Blake; Mastergeorge, Ann – Journal of Autism and Developmental Disorders, 2019
Evidence on neurophysiological correlates of coexisting autism spectrum disorders (ASD) and overweight/obesity may elucidate mechanisms leading to the observed greater risk of obesity in children with ASD. An exploratory secondary data analysis was performed on resting state functional magnetic resonance imaging (rs-fMRI) data of children…
Descriptors: Obesity, Brain Hemisphere Functions, Autism, Pervasive Developmental Disorders
Michael R. Capawana – Journal of Applied School Psychology, 2024
Childhood obesity is a prevalent health condition, the effects of which extend to mental health, social relationships, educational performance, and long-term physical health conditions. The present study focused on an optimized student support intervention that functions in predominantly high-poverty urban locations, which recognizes students as…
Descriptors: Risk, Resilience (Psychology), Urban Areas, Body Weight
Blair, Clancy; Kuzawa, Christopher W.; Willoughby, Michael T. – Developmental Science, 2020
A well-established literature demonstrates executive function (EF) deficits in obese children and adults relative to healthy weight comparisons. EF deficits in obesity are associated with overeating and impulsive consumption of high calorie foods leading to excess weight gain and to problems with metabolic regulation and low-grade inflammation…
Descriptors: Executive Function, Child Development, Body Composition, Obesity
Spears, Erica C.; Guidry, Jeffrey J.; Harvey, Idethia S. – Health Education Research, 2018
There is a paucity in the literature examining the African American middle-class. Most studies of African Americans and Type 2 Diabetes Mellitus (T2DM) have concentrated on lower-SES individuals, or make no distinction between African Americans of varying socio-economic positions. Middle-class African Americans are vulnerable in ways often…
Descriptors: Diabetes, African Americans, Middle Class, Statistical Analysis
Wolfe, Wendy S.; Dollahite, Jamie – Journal of School Health, 2021
Background: "Choose Health: Food, Fun, and Fitness" (CHFFF) is aimed at 3rd to 6th graders, and uses experiential learning, food preparation, active games, goal setting, and a family newsletter to target behaviors shown to decrease childhood obesity and chronic disease risk. This study aimed to evaluate CHFFF as intended in low-income…
Descriptors: Elementary School Students, Health Education, Curriculum Development, Elementary School Curriculum
Levitan, Robert D.; Jansen, Pauline; Wendland, Barbara; Tiemeier, Henning; Jaddoe, Vincent W.; Silveira, Patricia P.; Kennedy, James L.; Atkinson, Leslie; Fleming, Alison; Sokolowski, Marla; Gaudreau, Helene; Steiner, Meir; Dubé, Laurette; Hamilton, Jill; Moss, Ellen; Wazana, Ashley; Meaney, Michael – Journal of Child Psychology and Psychiatry, 2017
Background: Recent evidence suggests that early exposure to low maternal sensitivity is a risk factor for obesity in children and adolescents. A separate line of study shows that the seven-repeat (7R) allele of the dopamine-4 receptor gene (DRD4) increases susceptibility to environmental factors including maternal sensitivity. The current study…
Descriptors: Risk, Prediction, Obesity, Preschool Children
Wang, JunLi – Journal of American College Health, 2019
Objective: The constant deterioration of the physical fitness of college students has been a popular topic in China, thus this research analyzes the potential health risk of inadequate physical activity among college students. Participants/methods: During the national student fitness test (NSFT) in 2012, 1500 students from Tsinghua University were…
Descriptors: Physical Fitness, College Students, Risk, Physical Activity Level
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
Kaufman, Caroline C.; Thurston, Idia B.; Maclin-Akinyemi, Courtney; Hardin, Robin N.; Decker, Kristina M.; Kamody, Rebecca C. – Journal of American College Health, 2020
Objective: Approximately one-third of college students are categorized as overweight/obese and elevated weight has been associated with increased risk of depressive symptoms. Less is known about protective factors in this context. This study examined associations between depressive symptoms and health behaviors, as well as body image variables…
Descriptors: Risk, Depression (Psychology), Body Weight, Correlation
