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Showing 1 to 15 of 142 results Save | Export
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Huaijin Xu; Weimo Zhu; Xiong Qin; Zezhao Chen; Xiaotian Gao – Measurement in Physical Education and Exercise Science, 2024
Using the 2017-2018 National Health and Nutrition Examination Survey (weighted population size = 35,460,209; 8-18 years old; 52.1% males), we compared the obesity prevalence in children and adolescents between body mass index-based (BMI-based) and total percent body fat-based (BF%-based, measured by the dual-energy x-ray absorptiometry) cutoffs.…
Descriptors: Obesity, Child Health, Incidence, Body Composition
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Roseman, Mary G.; Joung, Hyun-Woo; Ossorio, Ellen Mitchell; Valliant, Melinda – Journal of American College Health, 2023
Objective: Determine students' attitude toward menu labeling before and after menu labeling implementation at university dining facility. Participants: College students aged 18 years and older eating at campus dining facility. Methods: Survey on attitude toward menu labeling, weight management status, and athletic classification (NCAA,…
Descriptors: Student Attitudes, College Students, Food, Merchandise Information
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Mombarg, R.; de Bruijn, A. G. M.; Smits, I. A. M.; Hemker, B. T.; Hartman, E.; Bosker, R. J.; Timmermans, A. C. – Physical Education and Sport Pedagogy, 2023
Background: Fundamental Motor Skills (FMS) are important building blocks for children's sport-participation and lifelong physical activity. In the last decade, several international studies have reported delays in the development of FMS. To get better insight into the Dutch situation and to provide future directions, this study examined the…
Descriptors: Psychomotor Skills, Elementary School Students, Skill Development, Preadolescents
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Laurson, Kelly R.; Baptista, Fátima; Mahar, Matthew T.; Welk, Greg J.; Janz, Kathleen F. – Measurement in Physical Education and Exercise Science, 2022
We developed age- and sex-specific smoothed percentiles for vertical and long jump, as well as vertical jump power, in healthy 10-18 year olds (n = 529, 47.1% female). Jump height and distance were measured and vertical jump power was assessed via mechanography. LMS regression was used to create smoothed age-specific reference curves, separated by…
Descriptors: Psychomotor Skills, Preadolescents, Adolescents, Age Differences
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Zhu, Weimo; Konishi, Daniel; Welk, Gregory; Mahar, Matthew; Laurson, Kelly; Janz, Kathleen; Baptista, Fatima – Measurement in Physical Education and Exercise Science, 2022
This study evaluated test-equating methods to enable comparisons and conversions between the vertical jump (VJ) and standing long jump (SLJ) tests. A total of 528 youth (280 males) performed VJ and SLJ, and their scores were randomly split as the calibration (C) sample (n = 478) and cross-validation (CV) sample (n = 50). SLJ scores of the C sample…
Descriptors: Psychomotor Skills, Testing, Equated Scores, Foreign Countries
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Jarvis, Stuart; Rainer, Paul; Ganesh, Siva – Education 3-13, 2023
The primary aim of this study was to identify levels of fundamental movement skills (FMS) proficiency in primary school children. A secondary aim was to establish if these FMS proficiency levels differentiated between children born in different quartiles of the school year. The results demonstrated overall levels of FMS proficiency were low in…
Descriptors: Psychomotor Skills, Age Differences, Physical Education, Elementary School Students
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Das, Mahashweta; Relojo-Howell, Dennis – Journal on Educational Psychology, 2021
The association between General Mental Ability (GMA) and whole brain size was almost accepted universally. Association between the Performance Intelligence Quotient (PIQ) score with anatomical characteristics such as gender, height, weight, and brain size are also focused on many research articles. However, very little study has been made to…
Descriptors: Cognitive Ability, Brain, Intelligence Quotient, Anatomy
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True, Larissa; Martin, E. M.; Pfeiffer, K. A.; Siegel, S. R.; Branta, C. F.; Haubenstricker, J.; Seefeldt, V. – Measurement in Physical Education and Exercise Science, 2021
Childhood physical fitness relative to adult health outcomes coupled with scant longitudinal research indicates that tracking of fitness components throughout childhood/adolescence is imperative. The study examined the stability/tracking of 9 measures of fitness for boys and girls at 5 points throughout childhood/adolescence. Tracking coefficients…
Descriptors: Physical Fitness, Children, Adolescents, Age Differences
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Werner, Emily; Betz, Heather Hayes – Journal of American College Health, 2022
Objective: Assess physical activity (PA) and nutrition recommendation knowledge in college students. Participants: 71 students (n = 41 females; 18 to 22 years) measured in May of 2014. METHODS: Knowledge of existence and accuracy of PA and nutrition recommendations were assessed via a verbal survey. Results: Most (67.6%) were aware PA…
Descriptors: College Students, Physical Activity Level, Nutrition, Knowledge Level
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Blackshear, Tara B. – International Journal of Kinesiology in Higher Education, 2022
Many physical education teacher education (PETE) programs have adopted FITNESSGRAM® as the preferred method to assess teacher candidate fitness levels. The rationale, however, is unclear. This article presents fitness testing results of PETE candidates using FITNESSGRAM® with the aim to evaluate its appropriateness. 86 PETE students participated…
Descriptors: Physical Education Teachers, Teacher Education Programs, Physical Fitness, Preservice Teachers
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Mahar, Matthew T.; Welk, Gregory J.; Janz, Kathleen F.; Laurson, Kelly; Zhu, Weimo; Baptista, Fatima – Measurement in Physical Education and Exercise Science, 2022
Incorporation of the vertical jump (VJ) test in health-related fitness batteries is predicated on the availability of prediction equations to accurately estimate VJ power. The purpose was to develop and validate a generalizable equation to estimate VJ power from VJ height, body mass, age, and sex in 10- to 18-year-olds. The sample (N = 529)…
Descriptors: Physical Fitness, Muscular Strength, Psychomotor Skills, Body Height
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Abdyrakhmanova, D. O.; Dzhanuzakov, K. Ch. – Journal of Educational Issues, 2021
The impact of regular track and field trainings on student's physical development and physical preparedness have been studied in the work. The study was conducted in the Kyrgyz-Turkish Manas University. In total, 64 students at the age of 17-20 years have participated into the study. Applied methods: anthropometry, physiometry, the Stange-Hench…
Descriptors: Physical Development, Track and Field, Body Weight, Body Height
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Magal, Meir; Liette, Nicole C.; Crowley, Shannon K.; Hoffman, Jay R.; Thomas, Kathleen S. – Research Quarterly for Exercise and Sport, 2021
There are limited data pertaining to the effects of sex on sprint interval cycling (SIC) training session performance. Purpose: We investigated sex-based differences on sprint interval cycling (SIC) performance in collegiate soccer players. Methods: Twelve men and twelve women completed two identical lab trials, 7-14 days apart. The first lab…
Descriptors: Gender Differences, Training, College Athletics, Team Sports
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Zha, Peijia; Mahat, Ganga; Chao, Ying-Yu; Iovino, Christine – American Journal of Health Education, 2022
Background: Understanding the relationship between the perceived body weight, body mass index (BMI), and weight management-related behaviors is critical to preventing obesity in young adults. Purpose: To explore the relationship between perceived body weight and weight management-related behaviors and to assess the mediating effects of BMI between…
Descriptors: Body Weight, Body Composition, Body Height, Self Concept
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Wilson, Oliver W. A.; Bopp, Christopher M.; Papalia, Zack; Duffey, Michele; Bopp, Melissa – Journal of American College Health, 2022
Objective: Examine differences in physical activity (PA) constraints experienced as freshmen among college upperclassmen based on sex, race/ethnicity, adiposity, and fitness. Participants and methods: Upperclassmen (n = 524) from self-reported demographics, PA, subjective changes in PA, and freshman PA constraints via an online survey, and had…
Descriptors: Physical Activity Level, College Freshmen, Health Behavior, Barriers
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