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Huelskamp, Amelia; Waity, Julia; Russell, Jaime – Journal of American College Health, 2021
Objective: This study sampled college students at a medium-sized university to explore the prevalence of food insecurity, as well as frequency of multiple coping behaviors. Participants: The research team randomly sampled 25% of all students attending at least one on-campus class in October 2017, obtaining a response rate of 14.9% (n = 547).…
Descriptors: College Students, Incidence, Hunger, Coping
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Izquierdo-Gomez, Rocio; Esteban-Cornejo, Irene; Cabanas-Sanchez, Veronica; Marcos, Ascensión; Gómez-Martínez, Sonia; Castro-Piñero, José; Veiga, Óscar L. – Journal of Intellectual & Developmental Disability, 2023
Introduction: The aims of this study were to examine cross-sectional, and longitudinal association of different measures of obesity and physical fitness with cardiovascular disease (CVD) risk factors in adolescents with Down syndrome. Methods: Longitudinal analysis included 90 adolescents with Down syndrome. Obesity and physical fitness were…
Descriptors: Obesity, Physical Fitness, Heart Disorders, At Risk Persons
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Yamamoto, Ryohei; Shinzawa, Maki; Yoshimura, Ryuichi; Taneike, Manabu; Nakanishi, Kaori; Nishida, Makoto; Yamauchi-Takihara, Keiko; Kudo, Takashi; Moriyama, Toshiki – Journal of American College Health, 2023
Objective: To assess the clinical impact of living alone on weight gain in university students. Participants: This retrospective cohort study included 17540 male and 8854 female university students admitted to a national university in Japan. Methods: An association between living arrangement and the incidence of weight gain =10% and…
Descriptors: Body Weight, Obesity, Predictor Variables, Gender Differences
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Murthy, Sumithra; Hsieh, Kelly – Intellectual and Developmental Disabilities, 2021
Adults with intellectual and developmental disabilities (IDD) are at a greater risk of developing high cholesterol and cardiovascular disease. We examined whether physical inactivity, obesity, and diabetes were predictive of reported high cholesterol and whether there were any mediating effects of diabetes on the relationship between obesity and…
Descriptors: Adults, Intellectual Disability, Developmental Disabilities, At Risk Persons
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Thompson, Iyonna; Hong, Jun Sung; Lee, Jeoung Min; Prys, Nicholas Alexander; Morgan, Julie Toth; Udo-Inyang, Ini – Educational Review, 2020
Children and adolescents who are overweight or obese are at a heightened risk of bullying involvement. The aim of the literature review is to review empirical research on weight-based bullying published between 2006 and 2016. Extant research was categorised by the following themes: (1) prevalence of weight-based bullying and peer victimisation;…
Descriptors: Bullying, Body Weight, Obesity, At Risk Persons
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Kornilaki, Ekaterina N.; Cheng, Helen – Early Child Development and Care, 2019
In hypothetical playmate preference tasks, obese figures are rarely picked up as friends. This study aims to observe what happens in real life and examine the relationship between body-size and social status in children. Four-hundred and fourteen children aged 5, 7 and 9 years were given a sociometric test. The Body Mass Index (BMI) of each child…
Descriptors: Obesity, Child Health, Body Weight, Correlation
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Kral, Tanja V. E.; Chittams, Jesse; Bradley, Chyrise B.; Daniels, Julie L.; DiGuiseppi, Carolyn G.; Johnson, Susan L.; Pandey, Juhi; Pinto-Martin, Jennifer A.; Rahai, Neloufar; Ramirez, AnnJosette; Schieve, Laura A.; Thompson, Aleda; Windham, Gayle; York, Whitney; Young, Lisa; Levy, Susan E. – Autism: The International Journal of Research and Practice, 2019
We examined associations between child body mass index at 2-5 years and maternal pre-pregnancy body mass index, gestational weight gain, and rapid weight gain during infancy in children with autism spectrum disorder, developmental delays, or population controls. The Study to Explore Early Development is a multi-site case-control study of children,…
Descriptors: Correlation, Child Development, Body Composition, Body Weight
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Shackleton, Nichola – Journal of Early Childhood Research, 2017
The association between familial socioeconomic status and child obesity has created the expectation that low familial income increases the risk of child obesity. Yet, there is very little evidence in the United Kingdom to suggest that this is the case. This article focuses on whether low familial income and family poverty are associated with an…
Descriptors: Foreign Countries, Family Income, Low Income Groups, Obesity
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Cook, Jessica A.; McCormick, Emily V.; Mickiewicz, Theresa E.; Davidson, Arthur J.; Main, Deborah S. – Journal of School Health, 2017
Background: Adolescent overweight and obesity are serious health risks, with prevalence varying by sociodemographic group. Studies link children's weight status and sex/race-ethnic differences with meeting recommendations for physical activity and diet. But, research examining the intersection of sociodemographic characteristics, behavior, and…
Descriptors: Correlation, Obesity, Risk, Incidence
Godfrey, Kathryn M. – ProQuest LLC, 2017
Rationale: Binge eating puts individuals at risk for dropout of weight loss treatments and weight regain after treatment. However, treatments for binge eating have not been successful at influencing weight. To improve obesity treatment, research needs to examine binge eating with new theoretical approaches, interdisciplinary paradigms that span…
Descriptors: Eating Disorders, Body Weight, At Risk Persons, Intervention
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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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Winter, C. F.; Hermans, H.; Evenhuis, H. M.; Echteld, M. A. – Journal of Intellectual Disability Research, 2015
Background: Depression, anxiety, diabetes and cardiovascular risk factors are frequent health problems among older people with intellectual disability (ID). These conditions may be bidirectionally related. Depression and anxiety may have biological effects causing glucose intolerance, fat accumulation and also lifestyle changes causing metabolic…
Descriptors: Symptoms (Individual Disorders), Depression (Psychology), Anxiety, Correlation
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Ward, Wendy L.; Swindle, Taren M.; Kyzer, Angela L.; Whiteside-Mansell, Leanne – Early Childhood Education Journal, 2015
Cumulative risk theory suggests that a variety of social risk factors would have an additive effect on obesity risk. Multiple studies have suggested that obesity is related to basic resources such as transportation and financial resources. Additional research points to parental engagement and parental monitoring as additional sources of risk. This…
Descriptors: Eating Habits, Food, At Risk Persons, Preschool Children
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Harrington, M. Rachel; Ickes, Melinda J. – American Journal of Health Education, 2016
Background: Obesity continues to be an epidemic in college students, yet research is warranted to determine whether obesity increases the likelihood of risky health behaviors in this population. Purpose: The purpose of this study was to examine the association between body mass index (BMI) and health behaviors in college students. Methods: A…
Descriptors: Obesity, College Students, Correlation, Online Surveys
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Alker, Heather J.; Wang, Monica L.; Pbert, Lori; Thorsen, Nancy; Lemon, Stephenie C. – Journal of School Health, 2015
Background: Healthy, productive employees are an integral part of school health programs. There have been few assessments of work productivity among secondary school staff. This study describes the frequency of 3 common health risk factors--obesity, depressive symptoms, and smoking--and their impact on work productivity in secondary school…
Descriptors: Productivity, School Personnel, At Risk Persons, Obesity
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