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Xu Zhang – International Education Studies, 2024
The prediction of physical ability is a key point to understand the physical training effect of college students. This paper uses the error Back Propagation neural network algorithms to investigate the college students' physical test results, and predicts the future trends of the results. The findings indicate that, in future ten years, the…
Descriptors: Foreign Countries, College Students, Exercise, Physical Activity Level
Zhang, Xiaoxia; Gu, Xiangli; Zhang, Tao; Keller, Jean M. – Journal of American College Health, 2022
Objective: This study aimed to investigate interactions among physical fitness, sleep quality, sedentary behavior, and depression among female college freshmen. Participants: A cohort of 1,514 Chinese female college freshmen (M[subscript age] = 18.8 ± .63) were recruited from four universities. Methods: Participants completed a survey assessing…
Descriptors: Sleep, Physical Fitness, Depression (Psychology), Correlation
Wang, JunLi – Journal of American College Health, 2019
Objective: The constant deterioration of the physical fitness of college students has been a popular topic in China, thus this research analyzes the potential health risk of inadequate physical activity among college students. Participants/methods: During the national student fitness test (NSFT) in 2012, 1500 students from Tsinghua University were…
Descriptors: Physical Fitness, College Students, Risk, Physical Activity Level
Keating, Xiaofen D.; Liu, Jingwen; Liu, Xiaolu; Shangguan, Rulan; Guan, Jianmin; Chen, Li – ICHPER-SD Journal of Research, 2018
Purpose: The study aimed to determine the validity of the Fitbit Charge 2 (FC2) for measuring PA steps in college physical education settings using the Yamax SW-200 (YX) as the criterion device. Methods: Undergraduate students (n = 17) worn both FC2 and YX in two conditions (i.e., controlled and college physical education settings). The absolute…
Descriptors: Physical Fitness, Physical Education, Undergraduate Students, Measurement Equipment
Keating, Xiaofen D.; Stephenson, Rachyl; Liu, Xiaolu; Colburn, Jeff – ICHPER-SD Journal of Research, 2019
This paper takes on a different address to youth fitness testing from previous literature by applying a cross-cultural comparison of youth fitness testing in both the US and China. Utilizing a modified version of Bronfenbrenner's Ecological Model, the chronosystem (historical evolution over time), and macrosystem (social and cultural vantage…
Descriptors: Foreign Countries, Physical Fitness, Measurement, Cultural Differences
Tan, Sijie; Wang, Jianxiong; Zhang, Yibing; Zhang, Chen – Health Education Journal, 2015
Objective: The study aim was to explore associations between daily physical activity level, cardiorespiratory fitness and metabolic syndrome among Chinese children. Design: We conducted a school-based, cross-sectional study. Setting: Participants including 112 boys and 121 girls were recruited from three schools in the urban suburbs of Tianjin…
Descriptors: Foreign Countries, Physical Activity Level, Physical Fitness, Metabolism

Hua, Zou Da; Fu, Frank H. – Journal of the International Council for Health, Physical Education, Recreation, Sport, and Dance, 1994
Three articles examine the Asia Youth Health Related Fitness Test proposed by the Asia Regional Board of the International Council for Health, Physical Education, Recreation, Sport and Dance. The articles look at test results on fitness levels and knowledge from Japan, China, and Hong Kong. (SM)
Descriptors: Athletics, Body Composition, Elementary School Students, Elementary Secondary Education