The correlation between physical inactivity and students' health based on data mining and related influencing factors

Hanying Zhang; Zhongqiu Xu; Hanying Zhang; Zhongqiu Xu

doi:10.3934/mbe.2023290

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 4: 6735-6750. doi: 10.3934/mbe.2023290

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Research article Special Issues

The correlation between physical inactivity and students' health based on data mining and related influencing factors

Hanying Zhang ,
Zhongqiu Xu ^,

College of Sports and Arts, Guangzhou Sport University, Guangzhou 510500, Guangdong, China

Academic Editor: Man-Fai Leung

Received: 13 December 2022 Revised: 09 January 2023 Accepted: 13 January 2023 Published: 06 February 2023

The sedentary behavior among college students has become one of the most important factors affecting the development of physical and mental health. Chronic lack of physical activity may lead to health problems such as decreased physical fitness, and increased psychological disorders. In the post-epidemic era, it is necessary for college students to have a strong immune system, and a strong body cannot be achieved without regular leisure physical activity. Therefore, it is necessary to explore the relationship between relevant health factors and physical activity. This paper presents an optimized COM-B model. And the experimental results show that the optimized model is well applied in describing the current situation of physical activity participation among college students, analyzing the distribution characteristics of socio-demographic variables related to physical activity, and exploring the correlation between physical activity and the subhealth status of college students.
- physical activity,
- health,
- COM-B model optimization
Citation: Hanying Zhang, Zhongqiu Xu. The correlation between physical inactivity and students' health based on data mining and related influencing factors[J]. Mathematical Biosciences and Engineering, 2023, 20(4): 6735-6750. doi: 10.3934/mbe.2023290

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Abstract

The sedentary behavior among college students has become one of the most important factors affecting the development of physical and mental health. Chronic lack of physical activity may lead to health problems such as decreased physical fitness, and increased psychological disorders. In the post-epidemic era, it is necessary for college students to have a strong immune system, and a strong body cannot be achieved without regular leisure physical activity. Therefore, it is necessary to explore the relationship between relevant health factors and physical activity. This paper presents an optimized COM-B model. And the experimental results show that the optimized model is well applied in describing the current situation of physical activity participation among college students, analyzing the distribution characteristics of socio-demographic variables related to physical activity, and exploring the correlation between physical activity and the subhealth status of college students.

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