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Physical Activity, Screen Time, and Prevalence of Overweight/Obesity among Adolescents in a Creative, Problem-Solving Program

Physical Activity, Screen Time, and Prevalence of Overweight/Obesity among Adolescents in a Creative, Problem-Solving Program

作     者:Jill M. Maples Eugene C. Fitzhugh Carol A. Costello Naima Moustaid-Moussa David R. Basset Marsha L. Spence Betty P. Greer 

作者机构:Department of Animal Science The University of Tennessee Knoxville USA Department of Exercise and Sport Science East Carolina University Greenville USA Department of Exercise Sport and Leisure Studies The University of Tennessee Knoxville USA Department of Nutrition The University of Tennessee Knoxville USA Department of Retail Hospitality and Tourism Management The University of Tennessee Knoxville USA Institute of Agriculture AgResearch The University of Tennessee Knoxville USA. 

出 版 物:《Food and Nutrition Sciences》 (食品与营养科学(英文))

年 卷 期:2012年第3卷第4期

页      面:568-578页

学科分类:1002[医学-临床医学] 100201[医学-内科学(含:心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

主  题:Health Behaviors Physical Activity Adolescent Obesity 

摘      要:Certain dietary, physical activity, and sedentary behaviors have been studied extensively and consistently have been found to be associated with childhood overweight and obesity Productive sedentary-to-light activity pursuits may enhance the relationship among positive health behaviors. The purpose of this study was to identify the prevalence of overweight and obesity in a population of adolescents participating in a creative, problem-solving afterschool program and to identify the physical activity, sedentary, and dietary behaviors related to overweight and obesity in this group. This study describes health behaviors thought to be related to weight status for 1679 adolescents in grades 6 12 participating in a competitive, creative, team-oriented, problem-solving afterschool program. Self-reported dietary, physical activity, and sedentary behavior data were collected in this convenience sample based on the 2007 Youth Risk Behavior Survey. Measured height and weight data were collected to calculate BMI percentile. Using multinomial regression, models were constructed to predict the likelihood of being classified as overweight/obese. The prevalence of overweight in the study population was 15.6%, obese was 11.4%. Fruit/vegetable intake, milk consumption, moderate-to-vigorous physical activity, television time, and total screen time were all independently associated with weight status. After controlling for all covariates, male gender, minority racial/ethnic status, and high screen time while not meeting the physical activity recommendation significantly increased the likelihood of overweight/obesity. The participants in the current study are leaner and engage in healthier behaviors compared to national data for adolescents. The interactive variable combining both sedentary and PA measures is a relatively new technique used to provide a better understanding of the relationship between sedentary and physical activity behaviors as they relate to weight status. Even among

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