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Showing 1 to 15 of 1,245 results
Geijer, Justin R.; Stanish, Heidi I.; Draheim, Christopher C.; Dengel, Donald R. – American Journal on Intellectual and Developmental Disabilities, 2014
Individuals with intellectual disability (ID) or Down syndrome (DS) may be at greater risk of osteoporosis. The purpose of this study was to compare bone mineral density (BMD) of DS, ID, and non-intellectually disabled (NID) populations. In each group, 33 participants between the ages of 28 and 60 years were compared. BMD was measured with…
Descriptors: Mental Retardation, Down Syndrome, At Risk Persons, Human Body
Lytle, Leslie A.; Moe, Stacey G.; Nanney, M. Susie; Laska, Melissa N.; Linde, Jennifer A.; Petrich, Christine A.; Sevcik, Sarah M. – American Journal of Health Education, 2014
Background: Young adults are at risk for weight gain. Little is known about how to design weight control programs to meet the needs of young adults and few theory-based interventions have been evaluated in a randomized control trial. The Choosing Healthy Options in College Environments and Settings (CHOICES) study was funded to create a…
Descriptors: Program Design, Body Weight, Prevention, Community Colleges
Werner, Danilea; Teufel, James; Brown, Stephen L. – American Journal of Health Education, 2014
Background: Physical inactivity is a primary contributor to decreasing functional physical fitness and increasing chronic disease in older adults. Purpose: This study assessed the health-related benefits of ExerStart for Lay Leaders, a 20-week, community based, peer-led, low-impact exercise program for older adults. ExerStart focuses on aerobic…
Descriptors: Physical Activities, Older Adults, Physical Fitness, Chronic Illness
Iriyama, Yae; Murayama, Nobuko – Health Education Journal, 2014
Objective: We conducted a randomized controlled crossover trial to evaluate the effects of a new worksite weight-control programme designed for men with or at risk of obesity using a combination of nutrition education and nutrition environmental interventions. Subjects and methods: Male workers with or at risk of obesity were recruited for this…
Descriptors: Obesity, Males, Work Environment, Body Weight
Must, Aviva; Phillips, Sarah M.; Curtin, Carol; Anderson, Sarah E.; Maslin, Melissa; Lividini, Keith; Bandini, Linda G. – Autism: The International Journal of Research and Practice, 2014
Time spent in sedentary behavior is largely due to time spent engaged with electronic screen media. Little is known about the extent to which sedentary behaviors for children with autism spectrum disorder differ from typically developing children. We used parental report to assess and compare time spent in sedentary behaviors for 53 children with…
Descriptors: Autism, Pervasive Developmental Disorders, Physical Activity Level, Children
Salaun, Laureline; Reynes, Eric; Berthouze-Aranda, Sophie E. – Journal of Applied Research in Intellectual Disabilities, 2014
Background: In adolescents with intellectual disability, the management of obesity is a crucial issue, yet also quite complex because of their particular perception of themselves. This study investigated the relationship between self-perception variables and morphological variables and their changes after a 9-month Adapted Physical Activity (APA)…
Descriptors: Obesity, Adapted Physical Education, Adolescent Attitudes, Mental Retardation
Morris, Cody E.; Owens, Scott G.; Waddell, Dwight E.; Bass, Martha A.; Bentley, John P.; Loftin, Mark – Measurement in Physical Education and Exercise Science, 2014
An equation published by Loftin, Waddell, Robinson, and Owens (2010) was cross-validated using ten normal-weight walkers, ten overweight walkers, and ten distance runners. Energy expenditure was measured at preferred walking (normal-weight walker and overweight walkers) or running pace (distance runners) for 5 min and corrected to a mile. Energy…
Descriptors: Equations (Mathematics), Physical Activities, Prediction, Energy
Amireault, Steve; Godin, Gaston – Measurement in Physical Education and Exercise Science, 2014
The purpose of this study was to provide three construct validity evidence for using fitness center attendance electronic records to objectively assess the frequency of leisure-time physical activity among adults. One hundred members of a fitness center (45 women and 55 men; aged 18 to 64 years) completed a self-report leisure-time physical…
Descriptors: Physical Fitness, Adults, Physical Activity Level, Leisure Time
Zhu, Xihe; Chen, Senlin; Parrott, James – Journal of Teaching in Physical Education, 2014
This study examined adolescents' interest in aerobic fitness testing and its relation to the test performances. Adolescents (N = 356) from three middle schools participated in the study. The participants took two aerobic fitness tests: the Progressive Aerobic Cardiovascular Endurance Run (PACER) and One-Mile Run (1MR) with a two-day interval,…
Descriptors: Physical Fitness, Testing, Predictor Variables, Gender Differences
Yang, Kyeongra; Turk, Melanie T.; Allison, Virginia L.; James, Khara A.; Chasens, Eileen – Journal of School Health, 2014
Background: This study examined the relationship between actual body weight and self-perceived weight, and how perception of one's weight affects weight management behaviors among US adolescents. Methods: Adolescents ages 16-19 years with objectively-measured weight and height and self-reported perception of weight, weight-loss efforts, and…
Descriptors: Body Weight, Body Composition, Self Concept, Adolescents
Paul, David R.; Scruggs, Philip W.; Goc Karp, Grace; Ransdell, Lynda B.; Robinson, Clay; Lester, Michael J.; Gao, Yong; Petranek, Laura J.; Brown, Helen; Shimon, Jane M. – Journal of School Health, 2014
Background: Several states have implemented childhood obesity surveillance programs supported by legislation. Representatives from Idaho wished to develop a model for childhood obesity surveillance without the support of state legislation, and subsequently report predictors of overweight and obesity in the state. Methods: A coalition comprised of…
Descriptors: Screening Tests, Test Construction, Obesity, Body Weight
Quinto Romani, Annette – Journal of School Health, 2014
Background: Understanding peer effect is potentially important for finding ways to combat the obesity epidemic. Nevertheless, it is not clear whether a peer effect exists because of the composition of the peer group, because the group members have similar, unobserved individual characteristics, or because of an endogenous effect. Methods: This…
Descriptors: Peer Influence, Obesity, Intervention, Longitudinal Studies
Gomes, Thayse Natacha; dos Santos, Fernanda K.; Zhu, Weimo; Eisenmann, Joey; Maia, José A. R. – Journal of School Health, 2014
Background: Children spend most of their awake time at school, and it is important to identify individual and school-level correlates of their physical activity (PA) levels. This study aimed to identify the between-school variability in Portuguese children PA and to investigate student and school PA correlates using multilevel modeling. Methods:…
Descriptors: Physical Activity Level, Influences, Educational Environment, Correlation
Cvjetan, Branko; Utter, Jennifer; Robinson, Elizabeth; Denny, Simon – Journal of School Health, 2014
Background: The aim of this study was to determine the association between the school nutrition climate and students' eating behaviors and body mass index (BMI). Methods: Data were collected as part of Youth'07, a nationally representative health survey of high school students in New Zealand. Overall, 9107 randomly selected students from…
Descriptors: Foreign Countries, Correlation, Nutrition, Educational Environment
Ickovics, Jeannette R.; Carroll-Scott, Amy; Peters, Susan M.; Schwartz, Marlene; Gilstad-Hayden, Kathryn; McCaslin, Catherine – Journal of School Health, 2014
Background: The Institute of Medicine (2012) concluded that we must "strengthen schools as the heart of health." To intervene for better outcomes in both health and academic achievement, identifying factors that impact children is essential. Study objectives are to (1) document associations between health assets and academic achievement,…
Descriptors: Academic Achievement, Physical Fitness, Tests, Physical Health

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