Suicide Attempts among Those with Migraine: Findings from a Nationally Representative Canadian Study
Bibliographic record
Abstract
The objectives of this study were to identify the gender-specific prevalence of suicide attempts among those with migraine and to examine what factors are associated with suicide attempts among migraineurs. This study was a nationally representative analysis of the 2012 Canadian Community Health Survey - Mental Health (CCHS-MH) with 21,744 respondents, of whom 2,223 had migraine. Bivariate and logistic regression analyses were conducted. Those with migraine had a much higher prevalence of ever attempting suicide than those without migraine (men: 7.5% vs 1.9%; women; 9.3% vs 2.7%, p < .001). Among migraineurs, the odds of suicide attempts were higher among poorer respondents, those in chronic pain and those with a history of childhood adversities, substance dependence and/or mental illness. Targeted outreach is needed to reduce suicidality in this vulnerable population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".