Anxiety Disorders and Risk for Suicidal Ideation and Suicide Attempts
Bibliographic record
Abstract
CONTEXT: Controversy exists whether anxiety disorders are independently associated (ie, after adjusting for comorbid mental disorders) with suicidal ideation and suicide attempts. OBJECTIVE: To examine whether anxiety disorders are risk factors for suicidal ideation and suicide attempts in a large population-based longitudinal study. METHODS: Data come from the Netherlands Mental Health Survey and Incidence Study, a prospective population-based survey with a baseline and 2 follow-up assessments over a 3-year period. The Composite International Diagnostic Interview was used to assess DSM-III-R mental disorders. Lifetime diagnoses of anxiety disorders (social phobia, simple phobia, generalized anxiety disorder, panic disorder, agoraphobia, obsessive-compulsive disorder) were assessed at baseline. Multiple logistic regression analyses were used to examine whether anxiety disorders were associated with suicidal ideation and attempts at baseline (n = 7076) and whether anxiety disorders were risk factors for subsequent onset of suicidal ideation and attempts (n = 4796). RESULTS: After adjusting for sociodemographic factors and all other mental disorders assessed in the survey, baseline presence of any anxiety disorder was significantly associated with suicidal ideation and suicide attempts in both the cross-sectional analysis (adjusted odds ratio for suicidal ideation, 2.29; 95% confidence interval, 1.85-2.82; adjusted odds ratio for suicidal attempts, 2.48; 95% confidence interval, 1.70-3.62) and longitudinal analysis (adjusted odds ratio for suicidal ideation, 2.32; 95% confidence interval, 1.31-4.11; adjusted odds ratio for suicide attempts, 3.64; 95% confidence interval, 1.70-7.83). Further analyses demonstrated that the presence of any anxiety disorder in combination with a mood disorder was associated with a higher likelihood of suicide attempts in comparison with a mood disorder alone. CONCLUSIONS: This is the first study to demonstrate that a preexisting anxiety disorder is an independent risk factor for subsequent onset of suicidal ideation and attempts. Moreover, the data clearly demonstrate that comorbid anxiety disorders amplify the risk of suicide attempts in persons with mood disorders. Clinicians and policymakers need to be aware of these findings, and further research is required to delineate whether treatment of anxiety disorders reduces the risk of subsequent 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".