Gender Differences in Risk Factors for Suicide: Findings from a Swedish National Cohort Study
Bibliographic record
Abstract
OBJECTIVE: To investigate whether childhood sociodemographic factors and parental psychopathology affect suicide risk differently in men and women. METHOD: Cox regressions were used to calculate interaction effects of gender for childhood and parental risk factors for 8815 suicides (27% women) in a national cohort of 2.47 million people born between 1946 and 1968. RESULTS: Low parental socioeconomic status increased suicide risk only for men, hazard ratio (HR) = 1.22 (P = 0.003 for gender interaction), while living in a metropolitan area increased the risk only for women, HR = 1.42 (P < 0.001 for gender interaction). Parental psychotic or affective disorder increased suicide risk more strongly for women (HR = 2.08), than for men (HR = 1.52) (P = 0.004 for gender interaction). CONCLUSION: Growing up in an urban environment and parental psychotic or affective disorder are significant gender-related risk factors for suicide, both conveying higher risks in women. The mechanisms linking childhood urbanicity to increased risk of suicide in adult women stand out as an important research area for the future.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".