Model prediction of suicidal behavior in first hospitalization patients with major depression disorder: a cross-sectional study based on a large sample

Abstract

Abstract Background Major depressive disorder (MDD) is one of the common and major causes of suicidal behavior (SB). The purpose of this study was to determine the prevalence of SB and its factors of influence among first hospitalized MDD patients in China, and to develop a predictive model for SB in the target population. Methods This study recruited 981 patients with MDD who were experiencing their first hospitalization. The patients' socio-pathological and general clinical data were gathered, along with common metabolic parameters and thyroid function. In addition, patients were assessed for depressive, anxiety, and psychotic symptoms, as well as the severity of their disease. Results Our study revealed a 13.46% prevalence of SB among MDD first hospitalized patients. A variety of clinical symptom scores and metabolic indicators were identified as risk factors for SB, and based on the identified risk factors we further obtained a predictive model with good ability to differentiate SB. Conclusion This study provides a validated predictive model for SB in the first hospitalized MDD population and suggests that the factors addressed in our model could be better used for early implementation of preventive measures.