Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach

Abstract

Comparing a family structure to a company, one can often think of parents as leaders and adolescents as employees. Stressful family environments and anxiety levels, depression levels, personality disorders, emotional regulation difficulties, and childhood trauma may all contribute to non-suicidal self-injury (NSSI) behaviors. We presented a support vector machine (SVM) based method for discovering the key factors among mazy candidates that affected NSSI in adolescents. Using SVM as the base learner, and the binary dragonfly algorithm was used to find the feature combination that minimized the objective function, which took into account both the prediction error and the number of selected variables. Unlike univariate model analysis, we used a multivariate model to explore the risk factors, which better revealed the interactions between factors. Our research showed that adolescent education level, anxiety and depression level, borderline and avoidant personality traits, as well as emotional abuse and physical neglect in childhood, were associated with mood disorders in adolescents. Furthermore, gender, adolescent education level, physical abuse in childhood, non-acceptance of emotional responses, as well as paranoid, borderline, and histrionic personality traits, were associated with an increased risk of NSSI. These findings can help us make better use of artificial intelligence technology to extract potential factors leading to NSSI in adolescents from massive data, and provide theoretical support for the prevention and intervention of NSSI in adolescents.

Relationship Between Childhood Trauma and Nonsuicidal Self-Injury Among Adolescents with Depressive Disorder: Mediated by Negative Life Events and Coping Style

“…Consistent with previous studies, adolescents exposed to adverse childhood experiences have an increased risk of NSSI. 37 Our research also shows that adolescents with depressive disorders with NSSI are more likely to have adverse childhood experiences than those without NSSI. However, no association between SA and NSSI was found in the current study.…”

“…Consistent with previous studies, adolescents exposed to adverse childhood experiences have an increased risk of NSSI. 37 Our research also shows that adolescents with depressive disorders with NSSI are more likely to have adverse…”

NSSI questionnaires revisited: A data mining approach to shorten the NSSI questionnaires

“…Trauma, disordered eating, and heavy alcohol use were salient among women, whereas alcohol use norms were important correlates among men. In a similar study, Yang et al [78] in 2022 proposed an SVM model which deduced adolescents' gender, paranoid and histrionic personality traits, suffring physical abuse in childhood, emotional non-acceptance, and education level were associated with an increased risk of NSSI. These may alert psychologists to pay more attention to the mentioned factors.…”

The effects of childhood maltreatment on adolescent non-suicidal self-injury behavior: mediating role of impulsivity

“…Individuals frequently report experiencing an immediate sense of relief during self-injury (8). In addition to being a severe threat to adolescents' mental and physical health, NSSI can also cause severe social impacts and economic burdens (9,10). Understanding the risk factors and early prevention is critical in reducing the harm caused by NSSI.…”