Factors Associated With Multiple Versus Single Episode Suicide Attempts in the 1990–1992 and 2001–2003 United States National Comorbidity Surveys
Bibliographic record
Abstract
This study sought to examine psychiatric and childhood traumatic event correlates of multiple suicide attempts (MSA) compared with single suicide attempts (SSA) in 2 nationally representative samples of the United States general population. Data came from the National Comorbidity Survey (n = 5,401; age 18-54; response rate = 82.4%) and the National Comorbidity Survey Replication (n = 4,083; age 18-54; response rate = 70.9%). Multiple logistic regressions were used to compare individuals with MSA to those with a SSA on the variables of interest after adjusting for sociodemographic variables. Individuals with a history of MSA had significantly higher odds of experiencing several traumatic events in childhood in the 2 surveys. Most notably, comorbidity of 3 or more mental disorders and the presence of at least 1 anxiety disorder distinguished individuals with MSA from those with a SSA in both surveys, suggesting the potential importance of these variables in association with multiple suicide attempts.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".