Chinese University Student Fitness and Survey Data, 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 physical activity, institutional factors, and fitness outcomes.

Use Cases

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

Strengths

• Includes administrative fitness records for approximately 130,000 students
• Combines longitudinal administrative data (2019-2023) with a detailed 2023 survey of 1,200 students
• Contains results from statistical path analysis, including beta coefficients and p-values

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• 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

Provenance

Source

figshare

Collection Method

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

Time Range

2019 to 2023

Freshness

Last updated 2026-05-14 05:33:29; freshness should be verified

Geography

China (university context)