Anxiety Disorders Associated With Suicidal Ideation and Suicide Attempts in the National Comorbidity Survey
Bibliographic record
Abstract
This study examined the relationship between anxiety disorders and suicidal ideation or suicide attempts in a nationally representative sample (N = 5877; age, 15-54; response rate, 82.4%). A modified version of the Composite International Diagnostic Interview was used to make DSM-III-R mental disorder diagnoses. Two multivariate logistic regression analyses were performed with suicidal ideation (N = 754) and suicide attempts (N = 259) as dependent variables. In each regression, the independent variables entered were lifetime social phobia, panic disorder, agoraphobia, generalized anxiety disorder, simple phobia, and posttraumatic stress disorder (PTSD). Covariates in the analyses were sociodemographics, lifetime mood disorders, substance use disorders, nonaffective psychosis, antisocial personality disorder, and presence of three or more lifetime DSM-III-R diagnoses. PTSD was significantly associated with suicidal ideation (adjusted odds ratio = 2.79; p < 0.01) and suicide attempts (adjusted odds ratio = 2.67; p < 0.01). None of the other anxiety disorders were significantly associated with suicidal ideation or attempts. The robust association between PTSD and suicide attempts has important implications for psychiatric assessment of suicidal behavior. Future research is required to investigate the mechanisms underlying the relationship between PTSD and suicidal behavior.
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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 | 0.004 |
| 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 | 0.000 | 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".