Gender-specific suicide risk factors: a case-control study of individuals with major depressive disorder
Bibliographic record
Abstract
Gender differences in suicidal behaviour entail a challenging paradox: more women attempt suicide than men, while more men commit suicide than women. The majority of suicide victims have a history of major depressive disorder (MDD), though only a small minority of those suffering from MDD will die by suicide. The present study aimed to explore the moderating role of gender in suicide completion, with particular focus on personality predispositions, Axis I and II psychopathology, while controlling for the effect of MDD. In the context of a case-control design, 201 suicide completers (160 men and 41 women) and 129 living controls (90 men and 39 women) with a history of MDD were recruited in Montreal, Canada. Participants were evaluated via the psychological autopsy method. Differences were found between men and women in the significant risk factors, suggesting that psychopathology and predispositions related to impulsivity-aggressivity and impulse-dyscontrol may have different relative contributions to suicide in depressed men and women.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".