Sedentary Male Student Fitness and Sleep Data from HIIT Trial

De-identified participant data from a randomized controlled trial investigating the effects of unsupervised campus HIIT on sedentary male students. The dataset includes pre-test and post-test measurements for physical fitness, sleep quality, and body composition. Author Di TANG published the supporting data on figshare in March 2026.

Use Cases

• Analyze changes in sleep_quality scores from pre-test to post-test across intervention and control groups.
• Model the relationship between HIIT intervention status and physical_fitness metrics like VO2 max or endurance measures.
• Assess correlations between changes in body_composition (e.g., BMI, body fat percentage) and improvements in fitness outcomes.
• Compare baseline physical_fitness and sleep_quality characteristics between randomized groups to check for balance.

Strengths

• Data originates from a structured 2x2 randomized controlled trial design, supporting causal inference.
• Includes longitudinal measurements with both pre-test (baseline) and post-test time points for tracking change.

Limitations

• The dataset size (number of participants/rows) is not specified, limiting assessment of statistical power.
• Raw data files are not publicly accessible due to ethical restrictions, requiring a request process for access.

Provenance

Source

Di TANG via figshare.

Collection Method

Collected as part of a randomized controlled trial evaluating HIIT effects.

Time Range

Covers pre-test and post-test periods for the trial; specific dates unknown.

Freshness

Last updated on the platform in March 2026.

Geography

Study conducted on a university campus; specific location unknown.