Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

1719-1730


DOI

Article

A multi-factor Regression Equation-based Test of Fitness Maximal Aerobic Capacity in Athletes

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Authors

Xiaoling Li Affiliation:
Shanghai Industrial and Commercial Polytechnic, Shanghai, China


Abstract

Sports performance is one of the important indicators to evaluate athletes, which reflects the level of physical exercise. In recent years, our national physical quality has been declining and the physical health of young people is unsatisfactory. In order to improve the quality of national health, promote the harmonious development of society and cultivate students' awareness of lifelong fitness, it is necessary and far-reaching to study the most important factors affecting human physical fitness. Sports performance is an important indicator to evaluate athletes, and sports performance is closely related to the level of physical fitness, so the most basic and valuable thing for sportsmen and women is to ensure their body fat and physical fitness. In recent years, with the rapid economic development, social progress and improvement of people's quality of life in China, fitness in such a fiercely competitive environment has become more and more important. Therefore, in order to better promote the national physical health problem to be solved as soon as possible we must do a good job of national fitness program, which can provide more talent support and intellectual support for the national sports career and improve the national physical fitness. In this paper, through the statistics and analysis of athletes' physical health test data, we can provide more talent support for sports programs.


Keywords

Multifactorial regression equations, Athletes, Aerobic capacity tests, 15B99


Citation

Li, X. (2022). A multi-factor regression equation-based test of fitness maximal aerobic capacity in athletes. Applied Mathematics and Nonlinear Sciences, 7(2), 1719–1730. https://doi.org/10.2478/amns.2022.2.0160
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7 References
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