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Kyle T. Ganson; Jason M. Nagata – Journal of American College Health, 2024
Objective: To identify the lifetime prevalence and correlates of appearance- and performance-enhancing drugs and substances (APEDS) use among a national sample of US college and university students. Participants: Student participants from the 2020-2021 Healthy Minds Study (N = 7,401; ages 18-30 years). Methods: Lifetime prevalence of five forms of…
Descriptors: Incidence, Substance Abuse, Health Behavior, Exercise
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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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Roldán, Ainoa; Cordellat, Ana; Monteagudo, Pablo; García-Lucerga, Consolación; Blasco-Lafarga, Nieves M.; Gomez-Cabrera, Ma Carmen; Blasco-Lafarga, Cristina – Research Quarterly for Exercise and Sport, 2019
Purpose: This study aims to analyze changes in Maximum Inspiratory Pressure (MIP), lung function, cardiorespiratory fitness, and blood pressure, in 10 healthy active elderly women, following 7 weeks of inspiratory muscle training (IMT) combined with a multicomponent training program (MCTP). The association among these health parameters, their…
Descriptors: Older Adults, Physical Fitness, Health Behavior, Physical Activities
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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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Leone, Ryan J.; Morgan, Amy L.; Ludy, Mary-Jon – College Student Journal, 2015
While it is well documented that college freshmen gain weight, there is a dearth of studies examining critical time periods for this weight change. Freshmen living on campus (n = 103; 21M, 82F) visited the laboratory in August/September, November, January, February/March, and April/May. Measurements at each visit included: weight, waist…
Descriptors: Body Weight, Body Composition, College Freshmen, Correlation
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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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Simone, Melissa; Lockhart, Ginger – Journal of American College Health, 2016
Objective: Disordered eating behaviors among undergraduate women are common and, thus, are an important public health concern. Weight stigmatization, stress, and social withdrawal are often associated with disordered eating behaviors; however, it is unclear whether stress and social withdrawal act as mediators between weight stigmatization and…
Descriptors: Females, Eating Disorders, Undergraduate Students, Body Weight
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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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Aldrich, Noel D.; Perry, Courtney; Thomas, William; Raatz, Susan K.; Reicks, Marla – Journal of Nutrition Education and Behavior, 2013
Objective: Evaluate reported use of the practice of "eating more protein" to prevent weight gain among midlife women. Design: Cross-sectional national survey. Participants: One thousand eight hundred twenty-four midlife women (40-60 y) from the 9 United States geographic regions, primarily married (71%), white (76%), and well educated; half were…
Descriptors: Females, Body Composition, Nutrition, Regression (Statistics)
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Peralta, Robert L.; Barr, Peter B. – Journal of American College Health, 2017
Objective: We examine weight control behavior used to (a) compensate for caloric content of heavy alcohol use; and (b) enhance the psychoactive effects of alcohol among college students. We evaluate the role of gender orientation and sex. Participants: Participants completed an online survey (N = 651; 59.9% women; 40.1% men). Method: Weight…
Descriptors: Body Weight, Health Behavior, College Students, Student Behavior
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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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French, Simone A.; Mitchell, Nathan R.; Hannan, Peter J. – Journal of Nutrition Education and Behavior, 2012
Objective: To examine associations between television viewing, sugar-sweetened beverage consumption, eating out, physical activity, and body weight change over 1 year. Design: Secondary data analysis from randomized intervention trial. Setting: Households in the community. Participants: Adults (n = 153) and adolescents (n = 72) from the same…
Descriptors: Outcome Measures, Physical Activities, Intervention, Adolescents
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Bauer, K. W.; Neumark-Sztainer, D.; Hannan, P. J.; Fulkerson, J. A.; Story, M. – Health Education Research, 2011
Identifying factors that contribute to students' behavior and weight improvements during school-based obesity prevention interventions is critical for the development of effective programs. The current study aims to determine whether the support and resources that adolescent girls received from their families were associated with improvements in…
Descriptors: Obesity, Body Composition, Intervention, Physical Activities
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