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Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11

Objectives: In 2022, 55 million Chinese children participate in campus football; however, there is no physical fitness standard, making it a priority task to enhance the current national program. This study aimed to explore a pilot method for the development of a reliable physical fitness standard....

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Autores principales: Jia, Hong, Wan, Bin, Bu, Te, Luo, Yang, Ma, Weiping, Huang, Sen, Gang, Liang, Deng, Wei, Liu, Zeyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581199/
https://www.ncbi.nlm.nih.gov/pubmed/36277178
http://dx.doi.org/10.3389/fphys.2022.1023910
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author Jia, Hong
Wan, Bin
Bu, Te
Luo, Yang
Ma, Weiping
Huang, Sen
Gang, Liang
Deng, Wei
Liu, Zeyong
author_facet Jia, Hong
Wan, Bin
Bu, Te
Luo, Yang
Ma, Weiping
Huang, Sen
Gang, Liang
Deng, Wei
Liu, Zeyong
author_sort Jia, Hong
collection PubMed
description Objectives: In 2022, 55 million Chinese children participate in campus football; however, there is no physical fitness standard, making it a priority task to enhance the current national program. This study aimed to explore a pilot method for the development of a reliable physical fitness standard. Methods: This study examined 765 male football players aged 9 to 11 in 2020 and 2022. The anthropometric and physical fitness assessments were conducted in accordance with the Chinese Football Association’s field manuel. Physical fitness tests include sit and reach test, t test, 30 m run test, and vertical jump test. Physical fitness standard was modeled using the generalized additive models for location, scale, and shape (GAMLSS). Data were fitted with appropriate GAMLSS distributions and smoothing term. P-splines were applied to smooth the model’s parameters using the default local maximum likelihood method and link functions. Following diagnostics of fitted models, age-specific centile estimations were computed for physical fitness tests. In addition, players in each age group were categorized according to their body mass index as normal weight or overweight/obese. Welch’s t-test was utilized to compare the group differences in physical fitness testing. The significance level was chosen at p < 0.05. Results: Sit and reach test, t test, 30 m run test, and vertical jump test data were fitted with original Sinh-Arcsinh, Box-Cox power exponential, Box-Cox power exponential, and Box-Cox Cole and Green, respectively. Physical fitness standard for each age group is presented as tabulated centiles (1p, 3p, 5p, 15p, 25p, 50p, 75p, 85p, 95p, 97p, 99p). Overweight/obese campus football players did significantly worse (p < 0.05) on the t test, 30 m run test, and vertical jump test than their normal-weight peers of the same age. Conclusion: This study developed the first physical fitness standard for 9 to 11-year-old campus football players in China. We made three recommendations to Chinese policymakers on sample size, data management, and field procedure for the creation of a national physical fitness standard.
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spelling pubmed-95811992022-10-20 Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11 Jia, Hong Wan, Bin Bu, Te Luo, Yang Ma, Weiping Huang, Sen Gang, Liang Deng, Wei Liu, Zeyong Front Physiol Physiology Objectives: In 2022, 55 million Chinese children participate in campus football; however, there is no physical fitness standard, making it a priority task to enhance the current national program. This study aimed to explore a pilot method for the development of a reliable physical fitness standard. Methods: This study examined 765 male football players aged 9 to 11 in 2020 and 2022. The anthropometric and physical fitness assessments were conducted in accordance with the Chinese Football Association’s field manuel. Physical fitness tests include sit and reach test, t test, 30 m run test, and vertical jump test. Physical fitness standard was modeled using the generalized additive models for location, scale, and shape (GAMLSS). Data were fitted with appropriate GAMLSS distributions and smoothing term. P-splines were applied to smooth the model’s parameters using the default local maximum likelihood method and link functions. Following diagnostics of fitted models, age-specific centile estimations were computed for physical fitness tests. In addition, players in each age group were categorized according to their body mass index as normal weight or overweight/obese. Welch’s t-test was utilized to compare the group differences in physical fitness testing. The significance level was chosen at p < 0.05. Results: Sit and reach test, t test, 30 m run test, and vertical jump test data were fitted with original Sinh-Arcsinh, Box-Cox power exponential, Box-Cox power exponential, and Box-Cox Cole and Green, respectively. Physical fitness standard for each age group is presented as tabulated centiles (1p, 3p, 5p, 15p, 25p, 50p, 75p, 85p, 95p, 97p, 99p). Overweight/obese campus football players did significantly worse (p < 0.05) on the t test, 30 m run test, and vertical jump test than their normal-weight peers of the same age. Conclusion: This study developed the first physical fitness standard for 9 to 11-year-old campus football players in China. We made three recommendations to Chinese policymakers on sample size, data management, and field procedure for the creation of a national physical fitness standard. Frontiers Media S.A. 2022-10-05 /pmc/articles/PMC9581199/ /pubmed/36277178 http://dx.doi.org/10.3389/fphys.2022.1023910 Text en Copyright © 2022 Jia, Wan, Bu, Luo, Ma, Huang, Gang, Deng and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Jia, Hong
Wan, Bin
Bu, Te
Luo, Yang
Ma, Weiping
Huang, Sen
Gang, Liang
Deng, Wei
Liu, Zeyong
Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11
title Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11
title_full Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11
title_fullStr Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11
title_full_unstemmed Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11
title_short Chinese physical fitness standard for campus football players: A pilot study of 765 children aged 9 to 11
title_sort chinese physical fitness standard for campus football players: a pilot study of 765 children aged 9 to 11
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581199/
https://www.ncbi.nlm.nih.gov/pubmed/36277178
http://dx.doi.org/10.3389/fphys.2022.1023910
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