<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study conducted a questionnaire survey on the physical condition of high school students based on FIT. The correlation between sedentary behavior, exercise level and physical fitness was studied. In this paper, the fuzzy C-average clustering method of the BP neural network is used to make statistics and classification of students’ physical condition. This paper collates the biological quality data of college students. Then this paper makes a comprehensive classification, classification and quantitative assessment of the data. The study found that college students’ sedentary habits varied from individual and family backgrounds. Family factors influence students’ physical exercise. Physical exercise was positively correlated with sedentary behavior and body mass index in adolescents. The accuracy of clustering combined with the BP neural network can reach 94%.</p>
</abstract>

This study conducted a questionnaire survey on the physical condition of high school students based on FIT. The correlation between sedentary behavior, exercise level and physical fitness was studied. In this paper, the fuzzy C-average clustering method of the BP neural network is used to make statistics and classification of students’ physical condition. This paper collates the biological quality data of college students. Then this paper makes a comprehensive classification, classification and quantitative assessment of the data. The study found that college students’ sedentary habits varied from individual and family backgrounds. Family factors influence students’ physical exercise. Physical exercise was positively correlated with sedentary behavior and body mass index in adolescents. The accuracy of clustering combined with the BP neural network can reach 94%.

Relationship Between Physical Activity Sedentary Behavior and Body Mass Index in Children and Adolescents Based on FIT Model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study conducted a questionnaire survey on the physical condition of high school students based on FIT. The correlation between sedentary behavior,...

Relationship Between Physical Activity Sedentary Behavior and Body Mass Index in Children and Adolescents Based on FIT Model

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 1521 - 1530

Eingereicht: 30. März 2022

Akzeptiert: 17. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00056

Schlüsselwörter
Middle school students, FIT model, Sedentary behavior, Physical activity, Body mass index, BP neural network, Fuzzy C-means clustering algorithm

© 2023 Dong Liang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Relationship Between Physical Activity Sedentary Behavior and Body Mass Index in Children and Adolescents Based on FIT Model

Online veröffentlicht: 28. Apr. 2023

Seitenbereich: 1521 - 1530

Eingereicht: 30. März 2022

Akzeptiert: 17. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.1.00056

SchlüsselwörterMiddle school students, FIT model, Sedentary behavior, Physical activity, Body mass index, BP neural network, Fuzzy C-means clustering algorithm

© 2023 Dong Liang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Middle school students, FIT model, Sedentary behavior, Physical activity, Body mass index, BP neural network, Fuzzy C-means clustering algorithm