Predicting suicide attempts in young adults with histories of childhood abuse
Bibliographic record
Abstract
BACKGROUND: Although childhood abuse is an important correlate of suicidality, not all individuals who were abused as children attempt suicide. AIMS: To identify correlates and moderators of suicide attempts in adults reporting childhood physical abuse, contact sexual abuse, or both. METHOD: A French-Canadian, school-based cohort (n=1684) was prospectively followed. RESULTS: The identity of the abuser moderated the relationship of abuse frequency and suicide attempts, with individuals abused by their immediate family being at highest risk. Although paternal education exhibited negative associations (OR=0.71, 95% CI 0.58-0.88), several externalising phenotypes had positive associations with suicide attempts: disruptive disorders (OR=3.10, 95% CI 1.05-9.15), conduct problems (OR=1.09, 95% CI 1.01-1.19) and childhood aggression (OR=1.41, 95% CI 1.08-1.83). CONCLUSIONS: Characteristics of the abuser and abusive acts may be important additional indicators of risk for suicide attempts. Future research needs to employ developmental approaches to examine the extent and mechanisms by which childhood abuse contributes to the shared variance of suicidality, maladaptive traits and psychopathology.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".