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

Administrative fitness records from approximately 130,000 Chinese university students collected between 2019 and 2023, combined with a 2023 survey of 1,200 undergraduates. The dataset, created by Yong Wang and shared under a CC-BY-4.0 license, supports analysis of social-ecological predictors of physical fitness.

Use Cases

• Modeling direct and indirect pathways between institutional factors and fitness based on structural equation modeling results.
• Analyzing gender disparities in fitness scores based on reported significant differences.
• Investigating the mediating role of physical activity between family support and fitness based on described indirect effects.
• Examining the negative impact of lifestyle risks like screen time and sleep irregularity on fitness outcomes.

Strengths

• Includes a large administrative sample of approximately 130,000 fitness records.
• Combines administrative records with a cross-sectional survey of 1,200 students for multi-source analysis.
• Covers a five-year time range from 2019 to 2023.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary dataset is unknown, which may limit suitability assessment.
• The study design is cross-sectional and uses single-site sampling, as noted in the description.

Provenance

Source

Author Yong Wang via figshare.

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