1. Psychiatric Patients with a Serious Mental Illness and a Recent History of Violent Behavior: An Exploration of Developmental, Clinical, Cognitive, and Demographic Characteristics
- Author
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Feras Nadhim Hasoon Al Attar, Sheena Mathew, Qin-Lai Huang, Lida Wang, Shu-Guang Han, Hua Tang, Siyamol Chirakkarottu, Sisir Nandi, Said Afqir Khalid El Bairi, Mohit Kumar, Mridula Saxena, Anil Kumar Saxena, Tanos C. C. Franca, Mariam Amrani, Yi-Hau Chen, Pravin Shende, Hsiuying Wang, Xijie Yu, Steven M. Silverstein, Bala Prabhakar Pankaj Mandpe, José Daniel Figueroa-Villar, Elaine C. Petronilho, Kamil Kuca, and Xiuwen Wang, Xiang Chen, Lingyun Lu
- Subjects
03 medical and health sciences ,Psychiatry and Mental health ,medicine.medical_specialty ,0302 clinical medicine ,medicine ,Cognition ,030212 general & internal medicine ,Psychology ,Mental illness ,medicine.disease ,Psychiatry ,030227 psychiatry - 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.
- Published
- 2020