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Schaefer, Sara E.; Ching, Cynthia Carter; Breen, Heather; German, J. Bruce – American Journal of Health Education, 2016
Background: Wearable and mobile technologies are often used by people who wish to document their own health and lifestyle behaviors. The feasibility of health tracking among youth is unclear, particularly in low-resource communities where health strategies stand to have the greatest impact. Methods: Youth (n = 24) enrolled in an afterschool…
Descriptors: Physical Fitness, Urban Youth, Physical Activity Level, Focus Groups
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Natale, Ruby; Camejo, Stephanie; Sanders, Lee M. – Journal of Research in Childhood Education, 2016
Obesity is a significant public health issue affecting even our youngest children. Given that a significant amount of young children are enrolled in child care, the goal of this project was to evaluate the effectiveness of a child care facility-based obesity prevention program. Over 1,000 facilities participated in the study. The intervention…
Descriptors: Early Childhood Education, Preschool Children, Prevention, Obesity
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Lodewyk, Ken R.; Sullivan, Philip – Physical Education and Sport Pedagogy, 2016
Background: Noteworthy proportions of adolescents--particularly females--report negatively about their experiences regarding fitness and the testing of it during physical education (PE). These accounts often coincide with lower levels of body image, fitness, motivation, and physical activity and higher rates of attrition from optional PE. Purpose:…
Descriptors: Anxiety, Self Efficacy, High School Students, Physical Education
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Malone, Susan Kohl; Zemel, Babette; Compher, Charlene; Souders, Margaret; Chittams, Jesse; Thompson, Aleda Leis; Lipman, Terri H. – Journal of School Nursing, 2016
Sleep is a complex behavior with numerous health implications. Identifying sociodemographic and behavioral characteristics of sleep is important for determining those at greatest risk for sleep-related health disparities. In this cross-sectional study, general linear models were used to examine sociodemographic and behavioral characteristics…
Descriptors: Sleep, Adolescents, Social Influences, Behavior
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Vanderloo, Leigh M.; Tucker, Patricia; Johnson, Andrew M.; Burke, Shauna M.; Irwin, Jennifer D. – Research Quarterly for Exercise and Sport, 2015
Purpose: This study aimed to: (a) compare the physical activity (PA) levels (i.e., moderate-to-vigorous PA [MVPA] and total PA [TPA]) of preschoolers in 3 different early-learning environments (center-based childcare, home-based childcare, and full-day kindergarten [FDK]); and (b) assess which characteristics (e.g., play equipment, policies, etc.)…
Descriptors: Foreign Countries, Preschool Children, Physical Activity Level, Early Childhood Education
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Ericsson, Ingegerd; Cederberg, Margareta – Physical Education and Sport Pedagogy, 2015
Background: Many students leave compulsory school without being qualified to apply for national upper secondary school programmes. Despite efforts, the number of unqualified students in Sweden has increased. Grades from compulsory school have direct implications for students' educational futures and the requirement to qualify for an upper…
Descriptors: Physical Activities, Academic Achievement, Sport Psychology, Underachievement
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Duncan, Susan C.; Strycker, Lisa A.; Chaumeton, Nigel R. – Journal of School Health, 2015
Background: The purpose of this research was to examine the impact of school-related variables on the physical activity (PA) levels of early adolescent African American, Latino, and White girls. Methods: Data were collected from 353 African American (N?=?123), Latino (N?=?118), and White (N?=?112) girls. Physical activity levels included a PA…
Descriptors: Social Influences, Physical Activity Level, Early Adolescents, Females
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Rickwood, Greg – Strategies: A Journal for Physical and Sport Educators, 2015
It is well known that a large majority of school-age children and adolescents are not active enough to gain the physical and psychological benefits associated with regular moderate-to-vigorous physical activity. Schools can play a pivotal role in reversing this trend due to the time students spend in this setting. The purpose of this article is to…
Descriptors: Physical Activities, Physical Activity Level, Health Promotion, Institutional Characteristics
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Kosma, Maria; Buchanan, David R.; Hondzinski, Jan – Quest, 2015
Despite the proliferation of theory-based behavior-change programs to promote physical activity, obesity and diabetes rates continue to rise. Given the notable ineffective interventions, it is important to examine why these efforts have been largely unsuccessful and to consider potential alternatives. The purpose of this article is to consider the…
Descriptors: Physical Activities, Physical Activity Level, Values, Investigations
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Ablah, Elizabeth; Dong, Frank; Konda, Kurt; Konda, Kelly; Armbruster, Sonja; Tuttle, Becky – Health Education & Behavior, 2015
Intervention: In an effort to increase physical activity, 15 workplaces participated in a minimal-contact 10,000-steps-a-day program sponsored by the Sedgwick County Health Department in 2007 and 2008. Pedometers were provided to measure participants' weekly steps for the 10-week intervention. Method: Participants were defined as those who…
Descriptors: Intervention, Wellness, Success, Physical Activities
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Ozturk, Mehmet Ertugrul – Educational Research and Reviews, 2015
The aim of the study was to determine sport and nutrition education interaction on stress. Three groups were selected for the study: control, single treatment and social treatment under nutrition treatment, too. The groups that were under nutrition treatments should have information about the nutrition resources. This experiment was done for two…
Descriptors: Nutrition Instruction, Sport Psychology, Physical Education, Stress Variables
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Scarapicchia, Tanya M. F.; Sabiston, Catherine M. F.; Brownrigg, Michelle; Blackburn-Evans, Althea; Cressy, Jill; Robb, Janine; Faulkner, Guy E. J. – Journal of American College Health, 2015
Objective: MoveU is a social marketing initiative aimed at increasing moderate-to-vigorous physical activity (MVPA) among undergraduate students. Using the Hierarchy of Effects model (HOEM), this study identified awareness of MoveU and examined associations between awareness, outcome expectations, self-efficacy, intentions, and MVPA. Participants:…
Descriptors: Marketing, Path Analysis, Health Promotion, Health Behavior
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Nanney, Marilyn S.; Lytle, Leslie A.; Farbakhsh, Kian; Moe, Stacey G.; Linde, Jennifer A.; Gardner, Jolynn K.; Laska, Melissa N. – Journal of American College Health, 2015
Objectives and Participants: The purpose of this article is to describe weight indicators and weight-related behaviors of students enrolled in 2-year colleges, including sex differences. Methods: During Fall 2011 and Spring 2012, 441 students from 3 Minnesota community colleges enrolled in the Choosing Healthy Options in College Environments and…
Descriptors: Two Year College Students, Body Weight, Student Behavior, Gender Differences
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Chen, Yu; While, Alison E; Hicks, Allan – Health Education Journal, 2015
Objective: To investigate physical activity among older people living alone in Shanghai, People's Republic of China, and key factors contributing to their physical activity. Methods: A cross-sectional questionnaire survey was administered in nine communities in Shanghai, using a stratified random cluster sample: 521 community-dwelling older people…
Descriptors: Foreign Countries, Older Adults, Physical Activities, Physical Activity Level
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Slater, Sandy; Full, Kelsie; Fitzgibbon, Marian; Uskali, Amber – SAGE Open, 2015
As youth obesity rates remain at unacceptably high levels, particularly across underserved populations, the promotion of physical activity has become a focus of youth obesity prevention across the United States. Thus, the purpose of this study was to develop and test the reliability and validity of a self-reported questionnaire on home, school,…
Descriptors: Test Reliability, Test Validity, Physical Activities, Physical Activity Level
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