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Zha, Peijia; Mahat, Ganga; Chao, Ying-Yu; Iovino, Christine – American Journal of Health Education, 2022
Background: Understanding the relationship between the perceived body weight, body mass index (BMI), and weight management-related behaviors is critical to preventing obesity in young adults. Purpose: To explore the relationship between perceived body weight and weight management-related behaviors and to assess the mediating effects of BMI between…
Descriptors: Body Weight, Body Composition, Body Height, Self Concept
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Albert, Sasha M.; Gutman, Marjorie A.; Barker, Dianne C.; Nguyen, Samantha; Caughlan, Ian; Grob, George – American Journal of Evaluation, 2022
This article presents an analytic approach to assessing the relationship between policy advocacy activities and outcomes for discrete episodes of advocacy, using a holistic array of factors that affect the relationship between advocacy and policy change. The factors pertain to not only advocacy organizational structure and strategies, but also the…
Descriptors: Policy Analysis, Advocacy, Case Studies, Correlation
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JaKa, Meghan M.; French, Simone A.; Wolfson, Julian; Jeffery, Robert W.; Lorencatto, Fabianna; Michie, Susan; Levy, Rona L.; Langer, Shelby L.; Sherwood, Nancy E. – Health Education & Behavior, 2019
Background: Behavioral interventions to prevent pediatric obesity have shown inconsistent results across the field. Studying what happens within the "black box" of these interventions and how differences in implementation lead to different outcomes will help researchers develop more effective interventions. Aim: To compare the…
Descriptors: Behavior Change, Obesity, Parent Child Relationship, Prevention
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Cho, Kibum; Jones, Emily; Lilly, Christa; Bulger, Sean; Braga, Luciana; Elliott, Eloise – Journal of School Health, 2017
Background: The purpose of this study was to evaluate the relationship between adolescents' adherence to the 5-2-1-0 goals and the number of completed Progressive Cardiovascular Endurance Run (PACER) laps. Methods: Participants included 1792 students aged 10 to 16 years who were randomly selected across 9 data collection periods between 2012 and…
Descriptors: Adolescents, Preadolescents, Life Style, Physical Activity Level
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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
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Papas, Mia A.; Trabulsi, Jillian C.; Axe, Michelle; Rimmer, James H. – Journal of School Health, 2016
Background: Childhood obesity is a major public health concern. Children with disabilities have a higher prevalence of obesity. Objective: We examined factors associated with obesity within a cross-sectional study of US adolescents with and without disabilities. Methods: Data were obtained from the 2011 Youth Risk Behavior Survey. Logistic…
Descriptors: Predictor Variables, Obesity, Disabilities, Incidence
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Schober, Daniel J.; Carpenter, Leah; Currie, Venita; Yaroch, Amy L. – Journal of School Health, 2016
Background: The purpose of this evaluation was to examine the effects of the LiveWell@School Food Initiative (LW@SFI), a Colorado-based childhood obesity prevention program that partners with school districts to enable them to serve more scratch cooked foods through culinary training, action planning, and equipment grants. Methods: This evaluation…
Descriptors: Food, Health Behavior, Cooking Instruction, School Districts
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Pelletier, Jennifer E.; Lytle, Leslie A.; Laska, Melissa N. – Health Education & Behavior, 2016
The objective of this study was to describe the relationship between stress, weight-related health risk behaviors (e.g., eating behaviors, physical activity, sedentary behavior, sleep, cigarette smoking, and binge drinking), and weight status using cross-sectional data on 2-year community college students enrolled in a randomized controlled weight…
Descriptors: Stress Variables, Case Studies, Regression (Statistics), Correlation
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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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Richards, Zoe; Kostadinov, Iordan; Jones, Michelle; Richard, Lucie; Cargo, Margaret – Health Education Research, 2014
Little research has assessed the fidelity, adaptation or integrity of activities implemented within community-based obesity prevention initiatives. To address this gap, a mixed-method process evaluation was undertaken in the context of the South Australian Obesity Prevention and Lifestyle (OPAL) initiative. An ecological coding procedure assessed…
Descriptors: Obesity, Fidelity, Prevention, Life Style
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Morrell, Jesse Stabile; Byrd-Bredbenner, Carol; Quick, Virginia; Olfert, Melissa; Dent, Amanda; Carey, Gale B. – Journal of American College Health, 2014
Objective: The study examines metabolic syndrome (MetS) among college students at 3 geographically distinct US campuses. Participants: Undergraduates ("N" = 360; 68% women), 18 to 24 years of age, were recruited at each public university in January and February 2011. MetS prevalence was evaluated in 83% ("n" = 299)…
Descriptors: Metabolism, Obesity, Body Weight, Undergraduate Students
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Utter, Jennifer; Denny, Simon; Robinson, Elizabeth; Fleming, Terry; Ameratunga, Shanthi; Grant, Sue – Journal of Nutrition Education and Behavior, 2013
Objective: To examine the relationship between family meals and nutrition behaviors of adolescents. Design: Secondary analysis of Youth'07, a nationally representative survey. Setting: Secondary schools in New Zealand. Participants: Randomly selected adolescents (aged 13-17 years, n = 9,107) completed a multimedia and anonymous survey about their…
Descriptors: Adolescents, Foreign Countries, Nutrition Instruction, 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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Gray, Heewon Lee; Contento, Isobel R.; Koch, Pamela A. – Health Education Research, 2015
This study investigates the link between process evaluation components and the outcomes of a school-based nutrition curriculum intervention, "Choice, Control and Change". Ten New York City public middle schools were recruited and randomly assigned into intervention or control condition. The curriculum was to improve sixth to seventh…
Descriptors: Obesity, Prevention, Questionnaires, Interviews
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Eisenberg, Christina M.; Ayala, Guadalupe X.; Crespo, Noe C.; Lopez, Nanette V.; Zive, Michelle Murphy; Corder, Kirsten; Wood, Christine; Elder, John P. – Journal of Nutrition Education and Behavior, 2012
Objective: To understand the association between parenting and children's dietary fat consumption, this study tested a comprehensive model of parenting that included parent household rules, parent modeling of rules, parent mediated behaviors, and parent support. Design: Cross-sectional. Setting: Baseline data from the "MOVE/me Muevo"…
Descriptors: Obesity, Child Rearing, Eating Habits, Parents
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