Analysis of the exercise intention-behavior gap among college students using explainable machine learning

These findings suggest that university health promotion strategies should focus on reducing perceived barriers, cultivating a supportive campus environment for physical activity, and optimizing the allocation of physical education resources. Such measures may effectively support the transformation of students' physical activity intentions into consistent, health-promoting behaviors.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-07-25
DOI
https://doi.org/10.3389/fpubh.2025.1613553
Citations
2
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
3.09
Controls
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article

Analysis of the exercise intention-behavior gap among college students using explainable machine learning

Junjun Yin, Cui Cui
2 citations
Frontiers in Public Health
Behavioral Health and Interventions
3.09
article

Analysis of the exercise intention-behavior gap among college students using explainable machine learning

Junjun Yin, Cui Cui
article en
2 citations

Abstract

These findings suggest that university health promotion strategies should focus on reducing perceived barriers, cultivating a supportive campus environment for physical activity, and optimizing the allocation of physical education resources. Such measures may effectively support the transformation of students' physical activity intentions into consistent, health-promoting behaviors.

Frontiers in Public HealthVol. 13
Gangneung–Wonju National University (KR), Jiaozuo University (CN)
Quality Education
Openalex Percentile: Top 8%
Behavioral Health and Interventions
3.09
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