Biomechanics of physical exercise: A data-driven approach to enhancing mental health in college students

With growing awareness of the importance of mental health, the biomechanical mechanisms of physical exercise have gained attention as an effective intervention for improving mental well-being, particularly among college students. Physical activity not only enhances physical fitness and disease resistance but also contributes to cognitive and emotional health through specific biomechanical pathways. This study explores the interplay between exercise biomechanics and mental health by investigating the psychological challenges faced by college students. Utilizing advanced data analysis and correlation techniques, we refine the Apriori algorithm through a novel database partitioning strategy, achieving a 23.68% improvement in accuracy and a 10.17% reduction in runtime compared to the baseline. Additionally, this study examines how biomechanical factors, such as joint movement and muscle activity, influence brain function and mental health outcomes. The findings offer innovative perspectives for integrating biomechanical insights into mental health education and exercise-based interventions for college students.

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Publication Details

Journal
Molecular & cellular biomechanics
Published
2024-12-10
DOI
https://doi.org/10.62617/mcb678
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.51
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article

Biomechanics of physical exercise: A data-driven approach to enhancing mental health in college students

Hai-zhen He
1 citations
Molecular & cellular biomechanics
Mental Health Research Topics
0.51
article

Biomechanics of physical exercise: A data-driven approach to enhancing mental health in college students

Hai-zhen He
article en
1 citations

Abstract

With growing awareness of the importance of mental health, the biomechanical mechanisms of physical exercise have gained attention as an effective intervention for improving mental well-being, particularly among college students. Physical activity not only enhances physical fitness and disease resistance but also contributes to cognitive and emotional health through specific biomechanical pathways. This study explores the interplay between exercise biomechanics and mental health by investigating the psychological challenges faced by college students. Utilizing advanced data analysis and correlation techniques, we refine the Apriori algorithm through a novel database partitioning strategy, achieving a 23.68% improvement in accuracy and a 10.17% reduction in runtime compared to the baseline. Additionally, this study examines how biomechanical factors, such as joint movement and muscle activity, influence brain function and mental health outcomes. The findings offer innovative perspectives for integrating biomechanical insights into mental health education and exercise-based interventions for college students.

Molecular & cellular biomechanicsVol. 21(4)
Anyang Normal University (CN)
Openalex Percentile: Top 27%
Mental Health Research Topics
0.51
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