Could alexithymia predict suicide attempts - a study of Croatian war veterans with post-traumatic stress disorder.
Bibliographic record
Abstract
BACKGROUND: To investigate the possibility if alexithymia could be used as a predictor of attempted suicide among patients suffering from post-traumatic stress disorder. SUBJECTS AND METHODS: The study was based on 127 veterans from the 1991-1995 war in Croatia. All the patients involved in this study were previously diagnosed with PTSD. The questionnaires (socio-demographic questionnaire, Mississippi scale for combat related PTSD questionnaire, and 20-item Toronto Alexithymia Scale questionnaire) were administered by investigators. RESULTS: The results suggest that alexithymia was significantly associated with attempted suicide (P=0.020). Furthermore, alexithymia remained a significant predictor of an attempted suicide even in the multivariate regression model, which yielded an odds ratio (OR) of 2.87 (95% confidence intervals 1.18-7.00). CONCLUSIONS: These results point out that alexithymia can be considered as a potential risk factor for suicide in this population, suggesting that it may also be used as an indicator of worsening psychological status and attempted suicide in other population groups with higher alexithymia prevalence.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".