Recent Stressful Life Events and Suicidal Ideation in Schizophrenia
Bibliographic record
Abstract
ABSTRACT: Half of patients with schizophrenia experience suicidal ideation. Only few studies have examined the effects of recent stress on both current and emergent suicidal ideation.A cohort of 85 patients with schizophrenia spectrum disorders was assessed. The study was divided into a cross-sectional and longitudinal arms to test the effect of recent stress on suicidal ideation. Analysis was done using logistic regression models.After correcting for covariates, recent stress had no significant effect on current suicidal ideation. However, increased total stress (odds ratio [OR] = 1.099 [1.032-1.170], p = 0.003) and health-related stress (OR = 1.331 [1.074-1.650], p = 0.009) at follow-up were predictive of emergent suicidal ideation.With this sample size, we were unable to draw firm conclusions regarding the effect of specific life events on suicidal ideation. Further studies involving larger samples that investigate the interplay between several risk factors are needed.
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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 | 0.000 |
| Bibliometrics | 0.000 | 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".