Physical Activity and Fitness Among Chinese University Students, 2019-2023

Chinese university student fitness data combines administrative records for approximately 130,000 students from 2019 to 2023 with a 2023 survey of 1,200 undergraduates. The dataset supports a path analysis examining institutional, familial, and behavioral predictors of physical fitness. Author Yong Wang published the supporting data and analysis on figshare under a CC-BY-4.0 license.

Use Cases

• Modeling direct and indirect pathways between social factors and fitness based on structural equation modeling results
• Analyzing gender disparities in physical fitness scores among a large student population
• Investigating the mediating role of physical activity between institutional support and fitness outcomes
• Examining the negative impact of lifestyle risks like screen time and sleep irregularity on fitness

Strengths

• Includes a large sample of administrative fitness records (n≈130,000)
• Combines longitudinal administrative data (2019-2023) with a detailed cross-sectional survey (n=1,200)
• Analysis provides quantified path coefficients (e.g., β=0.38 for PA's direct effect on fitness)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the primary data tables is unknown, which may limit suitability assessment
• The study design is cross-sectional and from a single site, limiting causal and generalizable inferences

Provenance

Source

Yong Wang

Collection Method

Multi-source cross-sectional quantitative design combining administrative fitness records and a survey.

Time Range

2019 to 2023

Freshness

Last updated 2026-05-14 05:33:35; freshness should be verified

Geography

China