Synergistic interactions of aggressive behavior, gender, and persecutory delusions on violent behavior in schizophrenia: A case–control study
Violent behavior in patients with schizophrenia represents a significant clinical and public health concern, with risk influenced by the interplay of sociodemographic and clinical characteristics. However, the underlying mechanisms remain unclear. This study aimed to investigate the interaction effects between violent behavior and sociodemographic as well as clinical features in patients with schizophrenia. Using an age-matched 1:1 case–control design, 208 patients (104 in the violence group and 104 in the control group) were enrolled from the Sixth People’s Hospital of Anqing. Demographic data were collected, and clinical characteristics were assessed using standardized scales. Univariate and multivariate logistic regression analyses identified male sex (odds ratio [OR] = 2.89, 95% confidence interval [CI]: 1.26–6.63), primary school education or below (OR = 2.36, 95% CI 1.12–4.98), severity of aggressive behavior (OR = 8.23, 95% CI 3.51–19.32), and persecutory delusions (OR = 3.57,95% CI: 1.56–8.18) as independent risk factors. The key finding was the presence of significant multiplicative interactions between male sex and severity of aggressive behavior (interaction OR = 4.57, p = 0.002) and between persecutory delusions and severity of aggressive behavior (interaction OR = 3.26, p = 0.009). These results indicate that when these factors co-occur, the combined risk significantly exceeds the sum of their independent risks, suggesting a synergistic effect. The conclusion highlights that the severity of aggressive behavior is a critical risk factor. Targeted interventions for patients exhibiting the combined profiles of “male sex with aggressive behavior” and “persecutory delusions with aggressive behavior” may help reduce the occurrence of related risky behaviors. Study limitations include a single-center sample, a cross-sectional design that precludes causal inference, and the absence of biomarker data, warranting caution in generalizing the conclusions.
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