Network Analysis of Depression Levels in Adolescents with Non-suicidal Self-injury

Abstract

Adolescence is a critical developmental period characterized by a notable increase in the prevalence of depression and self-harming behaviors. Thus, understanding their interplay is crucial for intervention and prevention strategies. This study uses network analysis to investigate the characteristics of the depressive symptom network in non-suicidal self-injury among adolescents and identify potential intervention targets. Between June 2023 and October 2023, a total of 171 non-suicidal self-injury adolescents were recruited. The Chinese version of the Center for Epidemiologic Studies Depression Scale was used to assess depressive symptoms. Statistical analysis and visualization of the network were conducted using the R software. In order to make quantitative research on the depressive symptom network structure, indicators of closeness, strength, and betweenness were utilized to identify symptoms that play a central role in the net work. Network analysis unveiled a group of central nodes with significant influence, assuming pivotal roles in the network. The symptoms of felt sad, thought life as a failure, could not get going, felt that everything I did was an effort were central to the network. Furthermore, this network exhibited good stability and accuracy of edge weights. The findings from this study not only advance peoples comprehension of the connection between non-suicidal self-injury and depression in adolescents but also provide new insights for future intervention strategies. This research underscores the need for comprehensive approaches to address this intricate issue, offering guidance for precise interventions and clinical practices.