Impact of Individual Participation and Their Health Education on the Growth of the Sportsy Population

Health education plays a significant role in promoting health, creating awareness of health issues, and adjusting the focus on the value of physical exercise in enhancing the general health of individuals. This paper focuses on a mathematical model for the interaction between health education, individual involvement, and the growth of the sports population and proposes the best decision solutions. An intelligent approach based on Bayesian Regularization (BR) and neural networks is used to predict the solutions of the presented mathematical model. To verify the accuracy of the predicted solutions for the mathematical model, the RK-4 numerical technique is utilized to generate target points for comparison. Different scenarios and the subsequent variation in parameters are used to determine the solutions of the model and the stability of our utilized technique. This study provides useful information for developing effective evidence-based interventions to promote a healthier and more active population.

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Publication Details

Journal
VFAST Transactions on Mathematics
Published
2025-06-30
DOI
https://doi.org/10.21015/vtm.v13i1.2107
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
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article

Impact of Individual Participation and Their Health Education on the Growth of the Sportsy Population

Hamad Jan, Awais Khan, Muhammad Saad, Muhammad Salman et al.
VFAST Transactions on Mathematics
Physical Activity and Health
article

Impact of Individual Participation and Their Health Education on the Growth of the Sportsy Population

Hamad Jan, Awais Khan, Muhammad Saad, Muhammad Salman, Muhammad Sulaiman
article en

Abstract

Health education plays a significant role in promoting health, creating awareness of health issues, and adjusting the focus on the value of physical exercise in enhancing the general health of individuals. This paper focuses on a mathematical model for the interaction between health education, individual involvement, and the growth of the sports population and proposes the best decision solutions. An intelligent approach based on Bayesian Regularization (BR) and neural networks is used to predict the solutions of the presented mathematical model. To verify the accuracy of the predicted solutions for the mathematical model, the RK-4 numerical technique is utilized to generate target points for comparison. Different scenarios and the subsequent variation in parameters are used to determine the solutions of the model and the stability of our utilized technique. This study provides useful information for developing effective evidence-based interventions to promote a healthier and more active population.

VFAST Transactions on MathematicsVol. 13(1)
Abdul Wali Khan University Mardan (PK)
Openalex Percentile: Top 65%
Physical Activity and Health
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Impact of Individual Participation and Their Health Education on the Growth of the Sportsy Population — Hamad Jan, Awais Khan, et al. · VFAST Transactions on Mathematics (2025) | TGRS Research Map | TGRS