Chinese University Student Fitness and Physical Activity Survey Data, 2019-2023

Table 3_A social-ecological examination of physical activity and fitness among Chinese university students: a cross-sectional path analysis.xls contains data from a multi-source study by Yong Wang. The dataset includes administrative fitness records for approximately 130,000 students from 2019 to 2023 and a cross-sectional survey of 1,200 undergraduates from 2023. It was last updated on May 14, 2026.

Use Cases

• Modeling pathways between institutional factors and physical fitness based on structural equation modeling results.
• Analyzing gender disparities in fitness scores based on the reported significant differences.
• 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 a large administrative dataset of approximately 130,000 fitness records.
• Combines administrative records with a detailed cross-sectional survey of 1,200 individuals.
• Covers a multi-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 from a single site, which may limit generalizability.

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 05:33:25; freshness should be verified.

Geography

China (university students).