Neuroticism and suicide in a general population cohort: results from the UK Biobank Project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Neuroticism has often been linked to suicidal thoughts and behaviour. AIMS: To examine whether neuroticism is associated with suicide deaths after adjusting for known risks. METHOD: = 389 365) were assessed for neuroticism as well as social, demographic and health-related variables at study entry and followed for up to 10 years. Suicide risk was modelled using Cox regression stratified by gender. RESULTS: Neuroticism increased the risk of suicide in both men (hazard ratio (HR) = 1.15, 95% CI 1.09-1.22) and women (HR = 1.16, 95% CI 1.06-1.27). In a subsample who were assessed for mood disorders, neuroticism remained a significant predictor for women (HR 1.25, 95% CI 1.03-1.51) but not for men. CONCLUSIONS: Screening and therapeutic interventions for neuroticism may be important for early suicide prevention. DECLARATION OF INTEREST: None.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.000 | 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 it