Mental Health and Substance Use Associations with Mild Traumatic Brain Injury

894 participants form the basis for multivariable binary logistic regression models examining links between mild traumatic brain injury (mTBI), mental health, and cannabis or alcohol use. The dataset contains statistical results from these analyses. It was authored by Alyssia Wilson and last updated in April 2026.

Use Cases

• Validate logistic regression coefficients for the association between mTBI status and mental health outcomes.
• Compare odds ratios for cannabis use versus alcohol use as dependent variables against common predictors.
• Replicate the multivariable analysis using the provided regression model parameters and participant count (N=894).

Strengths

• Clear focus on three key associations: mTBI, mental health, and substance use.
• Model results are derived from a defined sample of 894 participants.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• The 9.5 KB size indicates the dataset contains summary statistical results, not the raw participant-level data.
• Without column details, the specific variables and coding schemes used in the regressions are unknown.
• The geographic and demographic scope of the 894 participants is not specified, limiting generalizability.

Provenance

Source

figshare, authored by Alyssia Wilson.

Collection Method

Analysis outputs from a clinical study, likely survey or medical record-based.

Time Range

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Freshness

Last updated in April 2026.

Geography

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