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Showing 1 to 15 of 37 results Save | Export
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Sunku Kwon; Yang Bai; Youngwon Kim; Ryan D. Burns; Timothy A. Brusseau; Wonwoo Byun – Measurement in Physical Education and Exercise Science, 2025
This study aimed to assess the agreement in physical activity (PA) estimates from Garmin Vivofit Jr. 3 (VFJ 3) and Fitbit Ace 3 (Ace 3) with a research-grade accelerometer (wGT3X-BT) in children under free-living conditions. Twenty-five children (Girls: 56%, Age: 10.1 ± 2.5 years, BMI: 17.1 ± 2.4 kg/m2) performed daily activities for 7 consecutive…
Descriptors: Physical Activity Level, Children, Validity, Handheld Devices
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Jasmine Kotsiopoulos; Irene Giannis; Catherine M. Sabiston; Carsten Wrosch – International Journal of Behavioral Development, 2025
The Lines-of-Defense model postulates that older adults should engage in important health goals and behaviors for as long as possible and adjust them downwardly only when they become impossible to pursue. This process is thought to be supported by goal engagement and self-protective control strategies. We tested this model in a 4-year longitudinal…
Descriptors: Older Adults, Aging (Individuals), Physical Activity Level, Health Behavior
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Trung Thong Nguyen; Duy Duong; Son Dinh Phan – Evaluation Review, 2025
This study used daily experimental data from smart bands worn by 142 respondents to investigate the relationship between the number of minutes slept and self-reported mood. The results showed that more minutes of sleep were associated with improved mood. Time preferences, altruism, and trust were also associated with mood. Finally, our analysis…
Descriptors: Sleep, Psychological Patterns, Altruism, Economic Factors
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Bryce T. Daniels; Samantha E. Robinson; Erin K. Howie – Journal of American College Health, 2025
Objective: The study aimed to 1) examine relationships between contexts of PA, personality traits, and high school sports participation (sports) and 2) determine significant PA correlates in a college population. Participants: 237 undergraduates at a university in the United States between September 2020 and May 2021 participated. Methods:…
Descriptors: Personality Traits, High School Students, Athletics, Physical Activity Level
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Farah Abu Khadra; Aseel Aburub; Anwaar Amro; Zoltán Csapek; Bendegúz Kertai; Sára Jeges; Ákos Levente Tóth – Journal of International Students, 2025
This study explores the well-being and life satisfaction of university students in Hungary and Jordan and compares Hungarian students, Jordanian students in Hungary, and Jordanian students in Jordan. Data from 485 students using the Optimal Living Profile-Modified questionnaire revealed significant differences in life satisfaction, with Jordanian…
Descriptors: Health Behavior, Life Satisfaction, Cultural Differences, College Students
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Megan G. Bragg; Olivia Vesey; Jorge E. Chavarro; Jaime E. Hart; Loni Philip Tabb; Marc G. Weisskopf; Lisa A. Croen; Daniele Fallin; Irva Hertz-Picciotto; Craig Newschaffer; Rebecca J. Schmidt; Heather Volk; Kristen Lyall – Autism: The International Journal of Research and Practice, 2025
Parents of autistic children report barriers to engaging in physical activity, which may be exacerbated during subsequent pregnancies. We aimed to describe physical activity of parents caring for an autistic child, before and during a subsequent pregnancy, and to explore whether physical activity was associated with the autistic child's Social…
Descriptors: Autism Spectrum Disorders, Barriers, Physical Activity Level, Pregnancy
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Aaron T. Berger; Darin J. Erickson; Kayla T. Johnson; Emma Billmyer; Kyla Wahlstrom; Melissa N. Laska; Rachel Widome – Journal of School Health, 2025
Background: We aimed to characterize relationships between delayed high school start time policy, which is known to lengthen school night sleep duration, and patterns in activity outcomes: physical activity, non-school electronic screen time (non-schoolwork), and sports and extracurricular activity among adolescents. Methods: We used data from the…
Descriptors: School Schedules, High School Students, Physical Activity Level, Computer Use
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Catherine M. Capio; Rachel A. Jones; Catalina S. M. Ng; Cindy H. P. Sit; Kevin K. H. Chung – International Journal of Child Care and Education Policy, 2025
Health promotion strategies in early childhood are needed to address the global problem of physical inactivity. In Hong Kong, where the movement guidelines recommended by the World Health Organization for young children have been adopted by the health authorities, we implemented evidence-informed dissemination strategies targeting teachers and…
Descriptors: Foreign Countries, Young Children, Physical Activities, Physical Activity Level
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Lisa Kühne; Faith Mugo – Journal of School Health, 2025
Background: School nurses that are regularly present at school can influence health behaviors in the early lifespan, establishing a foundation for healthy growth. This systematic review identifies activities targeting health promotion and primary prevention and assesses the activities that are effective in improving students' health outcomes.…
Descriptors: Elementary Schools, School Nurses, Health Promotion, Child Health
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Jihoon Kim; Anna Karrin Lindqvist; Darla M. Castelli – Journal of American College Health, 2025
Emerging adulthood is a developmental stage influenced by the regularity of healthy behaviors. Gamification is the motivational strategy using virtual rewards and social comparison. This study aimed to explore the feasibility and proof of concept of utilizing digital badges, leaderboards, and quests as gamified learning in a health course. All…
Descriptors: Gamification, Student Motivation, Physical Activity Level, Eating Habits
National Institute of Food and Agriculture, 2025
The Expanded Food and Nutrition Education Program (EFNEP) is the nation's first nutrition education program for low-income populations and remains at the forefront of nutrition education efforts to reduce nutrition insecurity of low-income families and youth today. EFNEP contributes to food and nutrition security as program families and youths…
Descriptors: Food, Nutrition Instruction, Low Income Groups, Hunger
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Ana Pegado; Magda Sofia Roberto; Rita Luz; Catarina Pereira; Maria-João Alvarez – SAGE Open, 2025
Poor sleep negatively influences college students' health and school performance. Sleep and the behaviors that take place during the day are interrelated; as such, the aim of this work was to investigate the psycho-social-environmental factors in college life that may affect students' sleep, using a mixed-method approach, with a view to informing…
Descriptors: Foreign Countries, Sleep, Student Attitudes, Barriers
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Sarah Misyak; Camille McGuire; Victor Olayemi; Maria DeNunzio; Paige Harrigan; Elena Serrano – Journal of Human Sciences & Extension, 2025
Strategies to promote healthy behaviors among older adults are needed to mitigate vulnerabilities to negative health outcomes, especially for those with low income. Healthy Eating and Staying Active as We Age (HESA), a nine-lesson educational series for Supplemental Nutrition Assistance Program-eligible older adults, was created to promote health…
Descriptors: Nutrition Instruction, Behavior Change, Food, Older Adults
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Melinda Hutchesson; Megan Whatnall; Sasha Fenton; Lee Ashton; Amanda Patterson; Jordan Smith; Mitch J. Duncan; Frances Kay-Lambkin; Tracy Burrows – Journal of American College Health, 2025
Objective: To evaluate the association between health behaviors with mental health among tertiary education students. Methods: Six databases were searched until September 2021 for prospective cohort studies evaluating the association between health behavior(s) (dietary intake, physical activity, sedentary behavior, alcohol intake, sleep, smoking…
Descriptors: College Students, Mental Health, Health Behavior, Eating Habits
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In-Whi Hwang; Soo-Ji Hwang; Jun-Hao Shen; Jisu Kim; Jung-Min Lee – Measurement in Physical Education and Exercise Science, 2025
This study examined the impact of Catch-Up Sleep Ratio (CSR) on health outcomes in Korean adults. Adjusted for age and gender, 2,484 participants were categorized into three groups: Weekday (CSR <1.0), Average (1.0 = CSR < 1.5), and Weekend (1.5 = CSR). Weekday participants were less likely to meet WHO's moderate physical activity guidelines…
Descriptors: Foreign Countries, Sleep, Adults, Age Differences
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