The antecedents of aggressive behavior among men with schizophrenia: a prospective investigation of patients in community treatment
Bibliographic record
Abstract
The association between psychotic symptoms and violence is unclear, due in part to methodological features of investigations that have examined this question, and in part to the fact that the association likely differs by disorder and treatment conditions. Using data from The Comparative Study of the Prevention of Crime and Violence by Mentally Ill Persons, we examined 128 men with schizophrenia or schizoaffective disorder discharged from general and forensic psychiatric hospitals in Canada, Finland, Germany, and Sweden. The association between symptoms and aggressive behavior was studied during two 6 month periods when the patients lived in the community. Severe positive and negative symptoms of psychosis, depression, and anxiety were measured at the beginning of each of the 6 month periods. In addition, at the beginning of the second 6 month period changes in symptoms in the previous period were indexed. Aggressive behavior was measured in each 6 month period by reports from patients and from collaterals. During the first 6 months post-discharge, after controlling for the presence of antisocial personality disorder or PCL score and past diagnoses of alcohol/drug abuse/dependence, the presence of a severe positive symptom significantly increased the risk of aggressive behavior. During the second 6 month period, after controlling for antisocial personality disorder or PCL score and self-reported alcohol/drug use, the presence of a severe positive symptom, a TCO symptom, and an increase in TCO symptoms significantly increased the risk of aggressive behavior. Neither depot medications nor obligatory community treatment reduced the risk of aggressive behavior after controlling for the presence of a severe positive symptom and/or TCO symptoms. These findings suggest that, among men with schizophrenia being treated in the community, the presence of severe psychotic symptoms and the development of TCO symptoms are antecedents of aggressive 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".