Physical health and mental disorder in elderly suicide: A case-control study
Bibliographic record
Abstract
The psychological autopsy method was used to study 95 cases of suicide. Ninety-five comparison subjects matched for gender, age, region, and date of death were selected from the death register. This study showed that suicide cases did not differ from controls with regard to the number of chronic health problems and, compared to the suicide cases, the controls had less functional autonomy six months prior to death. If minor and sub-threshold depression cases were included, 74.7% of the suicide cases would have been considered as having a mental health disorder compared to 12.6% in the control group. When the effect of other co-variables were controlled for, multivariate analysis showed that suicide cases and controls did not differ according to marital status, education, income, and living arrangement. Furthermore, suicide cases were no more likely than controls to seldom meet with family members or friends or to have been isolated during the six-month period preceding their death. Our findings suggest that detection of psychiatric disorders, mainly depression, must be included in late life suicide prevention strategies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".