Using decision tree to predict non-suicidal self-injury among young adults: the role of depression, childhood maltreatment and recent bullying victimization
| Autor: | Huagen Wang, Shicun Xu, Shihui Wang, Yuanyuan Wang, Runsen Chen |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | European Journal of Psychotraumatology, Vol 15, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 20008066 2000-8066 |
| DOI: | 10.1080/20008066.2024.2322390 |
| Popis: | ABSTRACTImportance: Non-suicidal self-injury (NSSI) is a significant mental health issue requiring a deeper understanding of its underlying causes, such as childhood maltreatment, adult bullying victimization, and depression. Previous studies have not adequately addressed the cumulative risks of these factors on NSSI among college students. This population-based study investigates these cumulative risk factors.Design, setting, and participants: The cross-sectional study included 63 university’s college students with a mean age of 19.6 years (N = 95,833).Main outcomes and measures: Two Chi-Square Automatic Interaction Detection (CHAID) decision tree models were used to classify subgroups based on childhood maltreatment and adult bullying victimization experiences and to investigate their cumulative risks of NSSI. Recursive partitioning algorithms determined each predictor variable’s relative importance.Results: The CHAID model accurately predicted NSSI behaviours with an overall accuracy rate of 77.8% for individuals with clinically relevant depressive symptoms and 97.2% for those without. Among depressed individuals, childhood emotional abuse was the strongest NSSI predictor (Chi-Square, 650.747; adjusted P |
| Databáze: | Directory of Open Access Journals |
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