Abstract
BACKGROUND: Individuals with severe mental illnesses (SMIs) are at an increased risk of exhibiting violent behaviors, which may result in significant negative consequences, including damaged relationships, property destruction, and harm to themselves or others. The purpose is to investigate the current status of violent behaviors among individuals with SMIs and identify factors within the demographic information, psychological status, and treatment status of individuals with SMIs that may influence the occurrence of violent behaviors. METHODS: We conducted a cross-sectional survey of 1108 individuals with SMIs. The Logistic regression and Chi-squared Automatic Interaction Detection (CHAID) tree model were employed to analyze the influencing factors of violent behaviors in individuals with SMIs and compare their predictive performance. RESULTS: 49.6% of the participants engaged in violent behaviors in the past 12 months. The study identified that factors influencing violent behavior in individuals with SMIs include medication adherence, self-reported health status, employment, household income, experience of discrimination, disease concealment, access to medical assistance, and comorbidities. Medication adherence was identified as the most critical factor affecting violent behavior in individuals with SMIs. Logistic regression model and CHAID tree model had comparable predictive accuracy with AUC values of 0.734 and 0.730, respectively. No statistically significant difference was observed in the predictive performance of the two models (Z = -0.745, P = 0.456). CONCLUSIONS: Individuals with SMIs are at a higher risk of violent behavior, which is influenced by multiple factors, particularly medication adherence. This adherence may be a key determinant in the occurrence of violent behavior among individuals with SMIs. Healthcare professionals should implement targeted interventions addressing these influencing factors to prevent the manifestation of violent behavior in individuals with SMIs.