Physical Activity and Fitness Path Analysis for Chinese University Students, 2019-2023

Yong Wang published a dataset analyzing physical fitness among Chinese university students. It combines administrative fitness records for approximately 130,000 students from 2019 to 2023 with a cross-sectional survey of 1,200 undergraduates from 2023. The data was last updated on 2026-05-14.

Use Cases

• Modeling pathways between institutional factors and fitness based on the described structural equation model.
• 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 undergraduates.
• Results include specific 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 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

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 05:33:23; freshness should be verified.

Geography

China (university students)