ArticleFrontiers in psychology2025
A multilevel impact study of Chinese adolescents' sports participation based on ecological models of health behavior: a structural equation model analysis.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A social-ecological analysis of facilitators and barriers to campus fitness engagement: multilevel evidence from Chinese universities.Frontiers in public health · 2026Article
- A psychological network analysis of parental and peer support on children's football participation: the bridging role of self-efficacy.Frontiers in psychology · 2026Article
- Smartphone dependence and sport participation among Chinese adolescents: chain mediation by self-control and health beliefs and direct-path moderation by interpersonal support.Frontiers in psychology · 2026Article
- Structured environmental cues and youth sports consumption: an AI-powered behavioral modeling approach.Frontiers in public health · 2026Article
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5 authors.
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Abstract
Despite the growing awareness of the health benefits of physical activity participation among adolescents, physical inactivity remains a pressing concern for many adolescents around the globe. Using Ecological models of health behavior as a guide, this study investigated the combined effects of environmental, organizational, interpersonal, and individual factors on Chinese junior high school students' sport participation. A four-level structural equation model (SEM) integrating environmental, organizational, interpersonal, and individual factors was developed for 780 students (51.79% boys, 48.21% girls) from nine middle schools in Heping District of Tianjin. The model showed acceptable fit (CMIN/DF = 2.601, GFI = 0.949, CFI = 0.971, TLI = 0.965, RMSEA = 0.045), and correlation analyzes indicated that sport participation was moderately positively correlated with personal, interpersonal, organizational, and environmental factors (
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