Migraine headache and risk of self‐harm and suicide: A population‐based study in <scp>O</scp> ntario, <scp>C</scp> anada
Bibliographic record
Abstract
BACKGROUND: Migraine has been associated with mental illness, and may also be associated with increased risk of suicidal behavior. OBJECTIVE: The aim of this article was to examine the association between migraine headache and self-harm and suicide mortality using population-based health administrative data from Ontario, Canada. METHODS: The sample included 101,114 participants in a population-based health survey in the province of Ontario, Canada, who responded to the survey in 2003, 2005, or 2007, and provided health card numbers for linkage to population-based health administrative data. Participants self-reported a physician diagnosis of migraine headache. Heath administrative data were used to calculate (1) Follow-up time until first presentation to the emergency department for intentional self-harm; (2) Follow-up time until death by suicide. Proportional subdistribution hazards regression was used to compare time until death among those with and without history of migraine, after accounting for competing risks of death and adjusting for confounders. RESULTS: Physician diagnosis of migraine was reported by 11.2% of the sample (11,314 individuals). Mean follow-up time was 7.3 years. Emergency department visits for self-harm during the follow-up period were almost 50% more likely in those with migraine (76.4 vs 35.7 per 100,000 person years; adjusted hazard ratio = 1.48; 95%CI: 1.11,1.96). Death by suicide was rare with only 55 suicides in the follow-up period (7.45 per 100,000 person-years). Risk of suicide was similar for both those with and without history of migraine headache (adjusted hazard ratio=0.60; 95%CI: 0.22,1.65). CONCLUSIONS: Physician diagnosis of migraine headache was found to be prospectively associated with increased risk of deliberate self-harm, but there was no evidence linking it to suicide mortality. Definitively linking migraine to death by suicide may require very large samples. Health care professionals should consider monitoring suicidal risk in individuals with migraine headache.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".