An analysis of the mediating factors of suicide risk in adolescents with depressive disorder based on machine learning

Abstract

Abstract Aims: The role of non-suicidal self-injury (NSSI) in the suicide process of patients with depressive disorder remains controversial. Therefore, the purpose of this study was to investigate the role NSSI plays in suicide risk in patients with depressive disorder. Methods: A questionnaire survey was compiled using the HAMD-24, the Baker Suicide Risk Scale, and the NSSI Scale. The survey was administered to 113 adolescent patients with depressive disorder. The correlation between NSSI, depression, and suicide risk was analyzed using the gradient-lifting regression model. Results: NSSI had the highest incidence among high school students, regardless of gender. Furthermore, the incidence of NSSI was high among depressive patients with a history of smoking and drinking. NSSI partially mediated the risk of suicide in depressive patients. Conclusions: The findings show that NSSI increases the risk of suicide in patients with depressive disorder. Therefore, paying attention to NSSI in patients with depressive disorder and taking early mediating measures to minimize the effect will be conducive to reducing the risk of suicide.