Childhood Predictors of Nonsuicidal Self-Injury in Adolescence: A Birth Cohort Study

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Nonsuicidal self-injury (NSSI) is rare in childhood but becomes prevalent in adolescence, which suggests that early intervention might be indicated. As childhood predictors of NSSI in adolescence are largely unknown, identifying these predictors was the aim of this study. In a birth cohort (n= 759) of Norwegian children, NSSI at 12, 14, or 16 years of age was regressed on predictors of NSSI at age 6 (parental factors: depression, parenting stress, negativity/hostility, emotional availability to the child; child factors: temperamental negative affectivity, emotion regulation, symptoms of emotional and behavioral disorders; external events: victimization from bullying, serious negative life events). Semistructured clinical interviews with adolescents and their parents were used to assess DSM-5-defined NSSI and NSSI disorder. NSSI during the preceding 12 months at 12, 14, or 16 years of age was reported by 81 adolescents (10.0%, 95% CI 8.2-11.9), and NSSI disorder was reported by 20 adolescents (2.7%, 95% CI 1.9-3.8). In multivariable logistic regression analysis, female gender (odds ratio 11.6, 95% CI 4.0-33.5), parenting stress (odds ratio 4.8, 95% CI 1.4-16.5), and parental negativity/hostility (odds ratio 1.8, 95% CI 1.2-2.7) predicted NSSI, whereas child factors and external events were not predictive. Parental factors when the child is 6 years of age-parenting stress and negativity/hostility toward the child-predict NSSI in adolescence. Universal and indicated programs targeting these aspects of parenting during childhood might reduce NSSI in adolescence. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. We actively worked to promote sex and gender balance in our author group. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work.