Anxiety Disorders among Offenders with Antisocial Personality Disorders: A Distinct Subtype?
Bibliographic record
Abstract
OBJECTIVES: about 50% of men with antisocial personality disorder (APD) present a comorbid anxiety disorder. Historically, it was thought that anxiety limited criminal activity and the development of APD, but recent evidence suggests that heightened responsiveness to threat may lead to persistent violent behaviour. Our study aimed to determine the prevalence of APD comorbid with anxiety disorders among offenders and the association of these comorbid disorders with violent offending. METHOD: a random sample of 495 male penitentiary inmates completed an interview using the Diagnostic Interview Schedule. After excluding men with psychotic disorders, 279 with APD were retained. All authorized access to their criminal records. RESULTS: two-thirds of the prisoners with APD presented a lifetime anxiety disorder. Among them, one-half had the onset of their anxiety disorder before they were aged 16 years. Among the offenders with APD, those with, compared with those without, anxiety disorders presented significantly more symptoms of APD, were more likely to have begun their criminal careers before they were aged 15 years, to have diagnoses of alcohol and (or) drug abuse and (or) dependence, and to have experienced suicidal ideas and attempts. While there were no differences in the mean number of convictions for violent offences between APD prisoners with and without anxiety disorders, more of those with anxiety disorders had been convicted of serious crimes involving interpersonal violence. CONCLUSIONS: among men with APD, a substantial subgroup present life-long anxiety disorders. This pattern of comorbidity may reflect a distinct mechanism underlying violent behaviour and signalling the need for specific treatments.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".