Associations between a History of Traumatic Brain Injuries and Current Cigarette Smoking, Substance Use, and Elevated Psychological Distress in a Population Sample of Canadian Adults
Bibliographic record
Abstract
This study describes the prevalence of reported history of traumatic brain injury (TBI) and its association with reports of current substance use, cigarette smoking, and psychological distress among Canadian adults in a population sample. A cross-sectional sample of 1999 Ontario adults 18-93 years of age were surveyed by telephone in 2011 as part of the Center for Addiction and Mental Health's ongoing representative survey of adult mental health and substance use in Ontario, Canada. Loss of consciousness for at least 5 min or at least one overnight hospitalization resulting from symptoms associated with the TBI injury represented minimum criteria for TBI. An estimated 16.8% (95% confidence interval, 14.8, 19.0) of adults reported a TBI in their lifetime. Men had higher prevalence of TBI than women. Adults who reported a history of TBI had higher odds of reported past-year daily smoking (adjusted odds ratio [AOR] = 2.15), using cannabis (AOR = 2.80) and nonmedical opioids (AOR = 2.90), as well as screened significantly for recent elevated psychological distress (AOR = 1.97) in the past few weeks, compared to adults without a history of TBI. Co-occurrence of a history of TBI with current elevated psychological distress and substance use warrants vigilance among medical practitioners to assess the possibility of a history of TBI during reviews of the history leading to the occurrence of these conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".