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

IntroductionThe physical fitness of college students is a growing global public health concern. A critical challenge in improving student fitness is addressing the intention-behavior gap–the disconnect between students' intentions to engage in physical activity and their actual behavior.MethodsThis...

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Principais autores:	Cui Cui, Jixin Yin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-07-01
Colecção:	Frontiers in Public Health
Assuntos:	physical activity promotion college student intention-behavior gap explainable machine learning feature engineering
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fpubh.2025.1613553/full
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