University Student Survey on mTBI, Substance Use, and Mental Health

Alyssia Wilson's dataset contains clinical characteristics from 894 university students aged 18-25. It includes self-reported measures for mild traumatic brain injury history, alcohol and cannabis use severity, and symptoms of depression and anxiety. The data was published on figshare in April 2026.

Use Cases

• Model the relationship between mTBI_history count and AUDIT/CUDIT-R scores using regression.
• Predict hazardous_cannabis_use likelihood from GAD-7 anxiety scores and mTBI_history.
• Analyze sex differences in how PHQ-9 depression scores interact with mTBI_history to influence alcohol_use severity.
• Identify risk patterns for problematic_substance_use based on combined mTBI_history and mental_health_measures.

Strengths

• 894 participant records with sex breakdown (372 males, 522 females).
• Includes validated clinical measures: AUDIT, CUDIT-R, PHQ-9, and GAD-7.
• Data supports sex-specific analysis as highlighted in the study results.

Limitations

• Sample limited to 894 university students, not generalizable to broader populations.
• Temporal scope is cross-sectional; substance use reported for past 6-12 months only.
• Self-reported data may contain recall bias or social desirability bias.

Provenance

Source

figshare, authored by Alyssia Wilson.

Collection Method

Self-reported survey from university students aged 18-25.

Time Range

Data collection period not specified; study focuses on recent substance use (past 6-12 months).

Freshness

Last updated April 2026.

Geography

University sample; geographic location not specified.