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Showing 1 to 15 of 52 results Save | Export
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Padideh Lovan; Alyssa Lozano; Yannine Estrada; Cynthia Lebron; Tae Kyoung Lee; Sarah E. Messiah; Guillermo Prado – Prevention Science, 2024
Previous studies have suggested the impact of intervention fidelity on the management and prevention of chronic diseases; however, little is known about the effect of the contributing determinants (at multiple levels of influence) that can impact health-related interventions intending to improve the health status of Hispanic adolescents with…
Descriptors: Intervention, Fidelity, Health Behavior, Hispanic Americans
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Seyhan, Sinan – Journal of Education and Training Studies, 2018
This study was conducted to determine the physiological and psychological effects of the weight loss by determining the weight loss methods commonly used by taekwondo athletes. Of the questionnaires evaluated, 107 belonged to female taekwondo athletes and 195 belonged to male taekwondo athletes. The arithmetic average, standard deviation and…
Descriptors: Body Weight, Physical Activities, Physiology, Competition
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Corres, Pablo; MartinezAguirre-Betolaza, Aitor; Fryer, Simon M.; Gorostegi-Anduaga, Ilargi; Arratibel-Imaz, Iñaki; Aispuru, G. Rodrigo; Maldonado-Martín, Sara – Research Quarterly for Exercise and Sport, 2020
Purpose: To determine whether improvements in cardiorespiratory fitness (CRF), blood pressure (BP) and body composition previously seen after a 16-week exercise intervention (POST) with hypocaloric diet are maintained following six months (6M) of unsupervised exercise time. Methods: Overweight/obese, physically inactive participants with primary…
Descriptors: Physical Fitness, Body Composition, Exercise, Intervention
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Woolf, Hope R.; Fair, Melissa; King, Sarah B.; Dunn, Caroline Glagola; Kaczynski, Andrew T. – Journal of School Health, 2020
Background: In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. Methods: Students (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases…
Descriptors: Health Behavior, Eating Habits, Databases, Nutrition
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Melendez-Torres, G. J.; Sutcliffe, Katy; Burchett, Helen E. D.; Rees, Rebecca; Thomas, James – Research Synthesis Methods, 2019
Qualitative comparative analysis (QCA) was originally developed as a tool for cross-national comparisons in macrosociology, but its use in evaluation and evidence synthesis of complex interventions is rapidly developing. QCA is theory-driven and relies on Boolean logic to identify pathways to an outcome (e.g., is the intervention effective or…
Descriptors: Comparative Analysis, Intervention, Evidence, Logical Thinking
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Strand, Mark A.; He, Meizi; Johnson, Ryan; Perry, Judith; Yin, Zenong – Health Education Research, 2019
High prevalence of diabetes and prediabetes has emerged as a concern in China. The Pathway to Health Program was designed to prevent type 2 diabetes onset in prediabetic women in a north China urban community. This process evaluation of a randomized controlled trial analysed participant surveys at the 6- and 12-month assessment times, participant…
Descriptors: Foreign Countries, Program Evaluation, Health Promotion, Prevention
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Ptomey, Lauren T.; Saunders, Richard R.; Saunders, Muriel; Washburn, Richard A.; Mayo, Matthew S.; Sullivan, Debra K.; Gibson, Cheryl A.; Goetz, Jeannine R.; Honas, Jeff J.; Willis, Erik A.; Danon, Jessica C.; Krebill, Ron; Donnelly, Joseph E. – Journal of Applied Research in Intellectual Disabilities, 2018
Background: The prevalence of obesity among individuals with intellectual and developmental disabilities (IDD) is equal to or greater than the general population. Methods: Overweight/obese adults (BMI =25 kg/m2) with mild-to-moderate intellectual and developmental disabilities were randomized to an enhanced stop light diet…
Descriptors: Body Weight, Adults, Developmental Disabilities, Randomized Controlled Trials
Montana Office of Public Instruction, 2019
This Summary Report complements the 2019 Montana Youth Risk Behavior Survey Report and contains information regarding risk behaviors of Montana youth in relation to: (1) Unintentional injuries and violence; (2) Tobacco use; (3) Alcohol and other drug use; (4) Sexual behaviors that contribute to unintended pregnancy and sexually transmitted…
Descriptors: High School Students, Health Behavior, Risk, National Surveys
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Baruth, Meghan; Schlaff, Rebecca A. – American Journal of Health Education, 2017
Background: Understanding the mechanisms by which behavioral interventions exert their effects is important. Purpose: To examine behavioral mediators of weight loss in a sample of older adults participating in an evidence-based physical activity (PA) or nutrition intervention. Methods: Participants (n = 46) were randomized to a 12-week,…
Descriptors: Older Adults, Body Weight, Health Behavior, Intervention
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Morgan, Cass A.; Masters, Melissa A.; Rochelle, Shannon; Ruden, Tim; Gookin, John – Journal of Outdoor Recreation, Education, and Leadership, 2017
This study examined the relationship between dietary intake and changes in participants' (N = 39) body composition during National Outdoor Leadership School courses. Body composition, height, and weight were measured pre- and posttrip. Participants completed food logs to record daily dietary intake. Changes in anthropometric measurements were…
Descriptors: Dietetics, Nutrition, Body Composition, Outdoor Education
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Walsh, Denise; Belton, Sarahjane; Meegan, Sarah; Bowers, Kirsty; Corby, Deidre; Staines, Anthony; McVeigh, Treasa; McKeon, Michael; Hoey, Edel; Trépel, Dominic; Griffin, Peter; Sweeney, Mary Rose – Journal of Intellectual Disabilities, 2018
People with an intellectual disability are less physically active, live more sedentary lives, have lower fitness levels and are more likely to be overweight or obese than the general population. No evidence exists on the impact of participation in Special Olympics Ireland (SOI) on physical activity and physical fitness levels. Adults with…
Descriptors: Physical Activity Level, Physical Fitness, Metabolism, Adults
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Sullivan, Debra K.; Goetz, Jeannine R.; Gibson, Cheryl A.; Washburn, Richard A.; Smith, Bryan K.; Lee, Jaehoon; Gerald, Stephanie; Fincham, Tennille; Donnelly, Joseph E. – Journal of Nutrition Education and Behavior, 2013
Objective: Compare weight loss and maintenance between a face-to-face (FTF) weight management clinic and a clinic delivered via virtual reality (VR). Methods: Participants were randomized to 3 months of weight loss with a weekly clinic delivered via FTF or VR and then 6 months' weight maintenance delivered with VR. Data were collected at baseline…
Descriptors: Body Weight, Computer Simulation, Obesity, Adults
Montana Office of Public Instruction, 2019
The Youth Risk Behavior Survey (YRBS) is an epidemiologic surveillance system that was established by the U.S. Centers for Disease Control and Prevention (CDC) to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems that can occur during…
Descriptors: High School Students, Health Behavior, National Surveys, Risk
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Wang, Ye; Willis, Erin – Health Education & Behavior, 2016
Objective: To examine whether and to what extent relevant and meaningful discussions of weight loss occurred in the Weight Watchers' online community, and whether and to what extent the online community is designed for fostering such discussions. Methods: A multimethod approach was used here. First, a quantitative content analysis was conducted on…
Descriptors: Body Weight, Dietetics, Obesity, Computer Mediated Communication
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Almohanna, Amal; Conforti, Frank; Eigel, William; Barbeau, William – Journal of American College Health, 2015
Objective: This study was conducted to determine the impact of dietary acculturation on the health status of newly arrived international students at Virginia Tech in Fall 2010. Participants: Thirty-five international students, 18-36 years of age, completed the study. Methods: Data were collected at 3 different time periods (V1, V2, and V3)…
Descriptors: Acculturation, Eating Habits, Metabolism, Biochemistry
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