Multilevel Analysis of Campus Fitness Engagement in Chinese Universities, 2020-2025

43 peer-reviewed articles and national statistics synthesize facilitators and barriers to student fitness across five levels. Self-efficacy shows standardized path coefficients from 0.35 to 0.46, while academic pressure is the principal individual barrier. The analysis, by Minzhi Fang and published in 2026, identifies teacher support and policy gaps within the Healthy China 2030 framework.

Use Cases

• Modeling the relationship between teacher support and student exercise motivation based on the described chain-mediated pathway.
• Analyzing the spillover effect of mandatory physical education curricula on independent exercise based on the reported 20.2% probability increase.
• Investigating the asymmetry between environmental barriers and facilitators based on the count of 14 barriers versus 9 facilitators.
• Evaluating systemic gaps between policy inputs and behavioral outputs based on China's 53rd of 57 ranking in the 2022 global physical activity assessment.

Strengths

• Synthesizes evidence from 43 peer-reviewed articles published between 2020 and 2025.
• Reports specific quantitative findings, such as a mediated effect accounting for 47.94% of the total effect for teacher support.
• Provides multilevel analysis across individual, interpersonal, organizational, environmental, and policy dimensions.

Limitations

• The dataset is a 384.8 KB DOCX document, suggesting it is a textual analysis paper rather than a structured data file.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for quantitative modeling.

Provenance

Source

figshare

Collection Method

Systematic synthesis of peer-reviewed literature and analysis of national statistical databases.

Time Range

2020-2025

Freshness

Last updated 2026-06-04 05:41:53

Geography

China