Physical Fitness and Activity Survey of Chinese University Students, 2019-2023

Yong Wang published a dataset on figshare in 2026 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 supports a path analysis of social-ecological factors influencing fitness.

Use Cases

• Modeling pathways between institutional factors and physical 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 outcomes.
• Assessing 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 longitudinal administrative data (2019-2023) with detailed cross-sectional survey data from 2023.
• Uses objectively measured fitness data as described in the methodology.

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.
• Data may reflect geographic and single-site sampling bias inherent to the study design.

Provenance

Source

figshare

Collection Method

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

Time Range

2019 to 2023

Freshness

Last updated 2026-05-14 05:33:36; freshness should be verified.

Geography

China