Externalizing Psychopathology and Risk for Suicide Attempt
Bibliographic record
Abstract
The unique association between externalizing psychopathology (i.e., diagnoses of alcohol dependence, drug dependence, and antisocial personality disorder) and suicide attempts has been understudied. We sought to examine whether externalizing disorders were risk factors for later development of new onset suicide attempts. This study examined cross-sectional and longitudinal data gathered from 1920 to 4034 adult respondents from the Baltimore site of the Epidemiologic Catchment Area Survey. In cross-sectional analyses, externalizing psychopathology was significantly associated with suicide attempts, even after adjusting for sociodemographics and internalizing disorders. After controlling for demographics and internalizing disorders, at 1-year follow-up (n = 3163) baseline externalizing psychopathology was associated with new onset suicides; at 13-year follow-up (n = 1920) baseline externalizing psychopathology was not associated with new onset suicide attempts. Externalizing psychopathology appears to be an independent short-term risk factor for suicidal behavior (odds ratio [OR] = 3.00; 95% confidence interval [CI] = 1.07-8.43), but appears less powerful in predicting long-term suicide risk (OR = 0.90; 95% CI = 0.25-3.18). These findings underline the importance of assessment of suicidality among individuals presenting with externalizing disorders.
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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 | 0.003 |
| 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 | 0.001 |
| 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".