Psychological and technological predictors of the physical activity intention-behavior gap: an explainable machine learning analysis

Psychological cognition and smart sports tools jointly predict the PA I-B gap. The study's conclusions are constrained by its reliance on self-reported measures and its cross-sectional design. Future research should adopt longitudinal or experimental protocols, supplemented by objective data from wearable devices, to delineate causal pathways and illuminate the finer mechanisms underlying the gap.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-09-25
DOI
https://doi.org/10.3389/fpsyg.2025.1657506
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Psychological and technological predictors of the physical activity intention-behavior gap: an explainable machine learning analysis

Jun Cai, Yirong Li
Frontiers in Psychology
Behavioral Health and Interventions
article

Psychological and technological predictors of the physical activity intention-behavior gap: an explainable machine learning analysis

Jun Cai, Yirong Li
article en

Abstract

Psychological cognition and smart sports tools jointly predict the PA I-B gap. The study's conclusions are constrained by its reliance on self-reported measures and its cross-sectional design. Future research should adopt longitudinal or experimental protocols, supplemented by objective data from wearable devices, to delineate causal pathways and illuminate the finer mechanisms underlying the gap.

Frontiers in PsychologyVol. 16
Hunan University of Science and Technology (CN)
Natural Science Foundation of Hunan Province, National Social Science Fund of China
Openalex Percentile: Top 71%
Behavioral Health and Interventions
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