Table 5_A social-ecological examination of physical activity and fitness among Chinese uni

Administrative fitness records for approximately 130,000 Chinese university students from 2019 to 2023, combined with a 2023 survey of 1,200 undergraduates. The dataset was created by Yong Wang and shared on figshare under a CC-BY-4.0 license. It supports analysis of multilevel predictors like institutional factors, family support, and lifestyle risks on objectively measured physical fitness.

Use Cases

• Modeling pathways between social-ecological factors and fitness based on structural equation modeling results
• Analyzing gender disparities in physical fitness scores among university students
• Investigating the mediating role of physical activity between contextual factors and fitness outcomes
• Examining the negative impact of lifestyle risks like screen time and sleep irregularity on fitness

Strengths

• Approximately 130,000 administrative fitness records provide a substantial sample size
• Combines longitudinal administrative data (2019-2023) with a detailed cross-sectional survey (n=1,200)
• Includes objectively measured fitness scores and quantified path coefficients (e.g., β=0.38 for PA)

Limitations

• Row count for the primary dataset is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The cross-sectional design of the survey component limits causal inference

Provenance

Source

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 05:33:31; freshness should be verified

Geography

China (university students)