Understanding Comorbidity of Anxiety Disorders With Antisocial Behavior
Bibliographic record
Abstract
Although a positive association between antisocial behavior and anxiety disorders may seem clinically counterintuitive, some previous studies have in fact found a higher co-occurrence of anxiety disorders and antisocial behavior than in the general population. We investigated the relationship between anxiety disorders and antisocial behavior in two contemporaneous community surveys (National Comorbidity Survey, Ontario Health Survey). A significant association was found between any DSM-III-R anxiety disorder diagnosis and any DSM-III-R antisocial diagnosis (National Comorbidity Survey, odds ratio = 3.05, p <.01; Ontario Health Survey, odds ratio = 2.37, p <.01). This association remained significant after controlling for sociodemographics, depression, and alcohol and drug use disorders. Posttraumatic stress disorder and social phobia complex subtype (i.e., multiple social fears) produced the largest odds ratios. People with comorbid anxiety and antisocial diagnoses displayed high levels of distress, neuroticism, and disability, and poor quality of life. Clinicians and health policy makers need to be aware of the co-occurrence of anxiety disorders and antisocial 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".