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Showing 1 to 15 of 41 results Save | Export
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Zhang, Zhanjia; Chen, Bo; Chen, Weiyun – Journal of American College Health, 2021
Objective: This study aimed to examine the association between physical activity (PA) and subjective well-being (SWB) in Chinese college students, and to determine if the perceived health mediated this association, while both controlling for age, gender, and body mass index (BMI). Participants: 1204 college students (47.8% female, mean age =19.76…
Descriptors: Foreign Countries, College Students, Physical Activities, Well Being
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Yamak, Bade; Imamoglu, Osman – Universal Journal of Educational Research, 2019
The aim of this study is to examine 20-meter repetitive sprint performance every 20 seconds in the U 16 and U18 category soccer players. It is also to create normative data for 20-meter repetitive sprint performance for football players. In our study, 22 players at Soccer's U16 category and 23 players at Soccer's at U18 category performed a test…
Descriptors: Team Sports, Athletes, Repetition, Physical Activities
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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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Viciana, Jesús; Mayorga-Vega, Daniel; Parra-Saldías, Maribel – European Physical Education Review, 2019
All Latin-American countries are affected by the lack of physical activity and its consequences on youth. Chile's population has shown troublingly low levels of moderate-to-vigorous physical activity. This is the first study using objectively measured physical activity levels in Chilean adolescents. The objectives were to compare the compliance…
Descriptors: Foreign Countries, Secondary School Students, Adolescents, Physical Activity Level
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Demirbilek, Muhammet; Minaz, Mert – Journal of Education in Science, Environment and Health, 2020
Smartphone addiction and physical inactivity are often a major public health problem across the world. This research was aimed to determine the smartphone addiction status, physical activity levels and related factors of university students. Using convenience sampling, university students in Isparta/Turkey completed two questionnaires in Spring…
Descriptors: Physical Activity Level, Life Style, Telecommunications, Handheld Devices
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Latour, Austin W.; Peterson, David D.; Rittenhouse, Melissa A.; Riner, Daniel D. – International Journal of Kinesiology in Higher Education, 2017
The current Navy Physical Readiness Test allows for several alternatives to test aerobic fitness. Two currently approved alternate aerobic devices (elliptical trainer and stationary bike) were tested for correlation to VO[subscript 2max] and measured 1.5-mile run times. Two additional devices (2-km rower and 5-km cycle ergometer) were also…
Descriptors: Comparative Analysis, Physical Fitness, Physical Activities, Measurement Equipment
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Arslan, Fatma – Journal of Education and Training Studies, 2018
The aim of this study was to analyze the importance of some physical fitness and motor skills for children between 11-13 years at elementary school. A total of 114 primary school children participated as volunteers with a means age of 10.80 ± 0,40 for 5th grade and 12.83 ± 0,38 for 7th grade. In this study, some motor tests were used to detect…
Descriptors: Physical Fitness, Psychomotor Skills, Preadolescents, Adolescents
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Fernandez-Santos, Jorge R.; Gonzalez-Montesinos, Jose Luis; Ruiz, Jonatan R.; Jiménez-Pavón, David; Castro-Piñero, Jose – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to analyze the kinematic variables that determine the performance of the standing long jump in children 6- to 12-years-old. There were 121 healthy children (58 girls) recorded while they performed the standing long jump test. All kinematic variables showed a significant correlation with calculated jump distance and…
Descriptors: Children, Preadolescents, Mechanics (Physics), Motion
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Ridder, Monica A. M.; Koning, Maaike; Visscher, Tommy L. S.; Hirasing, Remy A.; Seidell, Jacob C.; Renders, Carry M. – Health Education & Behavior, 2018
Energy balance-related behavior on schooldays and beliefs about school-based interventions may differ between students in different educational levels, sexes, and BMI (body mass index) categories. In Zwolle (the Netherlands), 1,084 adolescents (13-15 years) at 9 secondary schools completed a questionnaire. Overweight prevalence (boys 18.1%, girls…
Descriptors: Case Studies, Health Behavior, Questionnaires, Body Composition
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Wattie, Nick; Tietjens, Maike; Schorer, Jörg; Ghanbari, Marie-Christine; Strauss, Bernd; Seidel, Ilka; Baker, Joseph – European Physical Education Review, 2014
The aim of the current study was to explore relative age's influence on physical and motor tests among fourth grade children (9 to 10 years) from Germany. Data from 1218 children (49% female) who had performed the German Motor Ability Test (Bös et al., 2009) were analysed. The test battery, which was comprised of physical and motor tests, included…
Descriptors: Foreign Countries, Age Differences, Grade 4, Elementary School Students
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Foote, Catherine; Bray, Melissa A.; Kehle, Thomas J.; VanHeest, Jaci L.; Gelbar, Nicholas W.; Byer-Alcorace, Gabriel; Maykel, Cheryl; DeBiase, Emily – Canadian Journal of School Psychology, 2017
As the number of children affected by obesity increases in the United States, it is necessary to intervene with preventive and intervention techniques that will enact change. Because children spend a significant amount of their time in school, it is of particular interest to target strategies during the school day. Given the recommendations for…
Descriptors: Physical Activities, Recess Breaks, Obesity, Child Health
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Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
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Smith, Ben J.; Bonfiglioli, Catriona M. F. – Health Education Research, 2015
Physical activity's role in promoting health is highlighted in public health campaigns, news and current affairs, reality television and other programs. An investigation of audience exposure, beliefs and reactions to media portrayals of physical activity offers insights into the salience and influence of this communication. An audience reception…
Descriptors: Foreign Countries, Physical Activities, Physical Activity Level, Mass Media Effects
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Hood, Nancy E.; Colabianchi, Natalie; Terry-McElrath, Yvonne M.; O'Malley, Patrick M.; Johnston, Lloyd D. – Journal of School Health, 2014
Background: Research on physical activity breaks and facilities (indoor and outdoor) in secondary schools is relatively limited. Methods: School administrators and students in nationally representative samples of 8th (middle school) and 10th/12th grade (high school) students were surveyed annually from 2008-2009 to 2011-2012. School administrators…
Descriptors: Physical Activities, Administrators, Middle School Students, High School Students
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Niederer, Iris; Kriemler, Susi; Zahner, Lukas; Burgi, Flavia; Ebenegger, Vincent; Marques- Vidal, Pedro; Puder, Jardena J. – Research Quarterly for Exercise and Sport, 2012
In the Ballabeina study, we investigated age- and BMI-group-related differences in aerobic fitness (20 m shuttle run), agility (obstacle course), dynamic (balance beam) and static balance (balance platform), and physical activity (PA, accelerometers) in 613 children (M age = 5.1 years, SD = 0.6). Normal weight (NW) children performed better than…
Descriptors: Physical Activities, Physical Fitness, Obesity, Comparative Analysis
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