Psychiatric Patients with a Serious Mental Illness and a Recent History of Violent Behavior: An Exploration of Developmental, Clinical, Cognitive, and Demographic Characteristics

Author:

Del Pozzo Jill1ORCID,Cherneski Lindsay2,Beck Saul J.3,Lowe Sarah R.4,Silverstein Steven M.5

Affiliation:

1. Department of Psychology, Montclair State University, Montclair, NJ 07043, United States

2. Division of Schizophrenia Research, University Behavioral Health Care, Rutgers University, Piscataway, NJ 08854, United States

3. Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, NJ 08854, United States

4. Yale School of Public Health, Department of Social and Behavioral Sciences, Yale University, New Haven, CT 06520, United States

5. School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY 14642, United States

Abstract

Background: Epidemiologic studies have shown that persons suffering from psychotic disorders are at increased risk of violent behavior. Several factors have been shown to predict violent behavior among persons with psychosis. However, prior research is limited in that these factors have not been explored simultaneously within the same study. Methods: The current study, therefore, aimed to determine which demographic, clinical, cognitive, and developmental characteristics were associated with an increased likelihood of violence among patients diagnosed with a psychotic disorder and which combination of these best predicted a history of violence. Participants (n=53) completed measures of demographics, violence risk, psychotic and personality symptoms, trauma, psychopathy and cognitive functioning. Results: Bivariate relationships were conducted to compare the history of violent behavior between all variables. Additionally, a binary logistic regression was run predicting participants’ history of violence. Several demographic, cognitive, clinical, and developmental factors were associated with increased odds of having a history of violence. The overall correct classification rate for the model was 92.2%, with 87.5% of participants without a history of violence and 91.4% with a history of violence being correctly classified. The model included antisocial personality traits, poor behavioral controls, head injury, not accepting responsibility, lacking goals, prior supervision failures, and HCR-20 total score. Conclusion: The binary logistic regression model showed good accuracy in predicting a history of violence in persons with psychosis. These findings are consistent with prior research and can inform efforts at risk assessment and identification of treatment targets for people with a psychotic disorder who are at highest risk of violence.

Publisher

Bentham Science Publishers Ltd.

Subject

Psychiatry and Mental health

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