The association between child maltreatment, cognitive reappraisal, negative coping styles, and non-suicidal self-injury in adolescents with major depressive disorder.

BACKGROUND: Non-suicidal self-injury (NSSI) is a significant public health concern among adolescents with major depressive disorders (MDD). Although previous research has linked child maltreatment (CM) to NSSI, the precise mechanisms remain unclear. This study aims to investigate the association between CM, cognitive reappraisal (CR), negative coping styles (NC) and NSSI in adolescents with MDD, from the perspectives of both Latent Variable Theory and the Network Theory of Mental Disorder. METHODS: A sample of 651 adolescents with MDD was recruited from January to December 2023. Data on CM, CR, NC, and NSSI were collected through paper-based self-reported questionnaires. Data analysis primarily involved structural equation modeling and network analysis. RESULTS: The reporting rate of NSSI among adolescents with MDD was 48.2%. CM showed a significant positive correlation with NSSI. NSSI was affected by CM through three paths: the mediating role of CR, the mediating role of NC, and the chain mediating role of both CR and NC. Emotional abuse (EA) was the central node, while NSSI, EA, and "The urge to cry quietly when faced with troubles"(NC10) were the key bridge nodes. CONCLUSIONS: This study is the first to use both structural equation modeling and network analysis to explore the explore the relationship between CM, CR, NC, and NSSI in adolescents with MDD, providing a theoretical basis for future early prevention and targeted interventions for adolescents with MDD.

Risk Prediction Model for Non-Suicidal Self-Injury in Chinese Adolescents with Major Depressive Disorder Based on Machine Learning.

Background: Non-suicidal self-injury (NSSI) is a significant social issue, especially among adolescents with major depressive disorder (MDD). This study aimed to construct a risk prediction model using machine learning (ML) algorithms, such as XGBoost and random forest, to identify interventions for healthcare professionals working with adolescents with MDD. Methods: This study investigated 488 adolescents with MDD. Adolescents was randomly divided into 75% training set and 25% test set to testify the predictive value of risk prediction model. The prediction model was constructed using XGBoost and random forest algorithms. We evaluated the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, recall, F Score of the two models for comparing the performance of the two models. Results: There were 161 (33.00%) participants having NSSI. Compared without NSSI, there were statistically significant differences in gender (P=0.035), age (P=0.036), depressive symptoms (P=0.042), sleep quality (P=0.030), dysfunctional attitudes (P=0.048), childhood trauma (P=0.046), interpersonal problems (P=0.047), psychoticism (P) (P=0.049), neuroticism (N) (P=0.044), punishing and Severe (F2) (P=0.045) and Overly-intervening and Protecting (M2) (P=0.047) with NSSI. The AUC values for random forest and XGBoost were 0.780 and 0.807, respectively. The top five most important risk predictors identified by both machine learning methods were dysfunctional attitude, childhood trauma, depressive symptoms, F2 and M2. Conclusion: The study demonstrates the suitability of prediction models for predicting NSSI behavior in Chinese adolescents with MDD based on ML. This model improves the assessment of NSSI in adolescents with MDD by health care professionals working. This provides a foundation for focused prevention and interventions by health care professionals working with these adolescents.

The relationship between childhood maltreatment and non-suicidal self-injury in adolescents with depressive disorders.

This study aims to explore the core symptoms of Non-Suicidal Self-Injury (NSSI) in adolescents with depressive disorders and the relationship between childhood maltreatment (CM) and NSSI symptoms by using network analysis. A total of 689 adolescents with depressive disorders participated in the survey. The Chinese version of the Adolescent Non-Suicidal Self-Injury Assessment Questionnaire (ANSAQ) and the Short Form of the Childhood Trauma Questionnaire (CTQ-SF) were employed to measure NSSI and the symptoms of CM, respectively. Using network analysis, the NSSI network and the CM-NSSI network were constructed to identify the most central symptoms and the bridge symptoms within the networks. Within the NSSI network, "Intentional scratches", " Intentionally hitting hard objects with your head ", " Intentionally hitting oneself with fists or harder objects ", and " Intentional pinching " were identified as the primary symptoms of NSSI. "emotional abuse", "sexual abuse", and " Intentionally cut yourself " emerged as three key bridge symptoms linking CM with NSSI. This research is the first to investigate the symptom network of CM-NSSI in a sample of adolescents with depressive disorders, providing a foundation for subsequent NSSI prevention and the development of targeted intervention strategies.

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

Purpose: Nonsuicidal self-injury (NSSI) is related to childhood trauma, negative life events, and coping style, but the interaction among these factors and the mechanism by which they interact in adolescents with depressive disorder remain unclear. This paper explores how these factors interact to influence NSSI and provides evidence to develop prevention efforts and interventions for adolescents with depressive disorder with NSSI. Patients and Methods: A cross-sectional design and convenient sampling method were used in this study. The Childhood Trauma Questionnaire, Adolescent Self-Rating Life Events Checklist, Trait Coping Style Questionnaire, and Adolescent Nonsuicidal Self-injury Assessment Questionnaire were completed by 540 adolescents with depressive disorder. Descriptive analysis, chi-square tests, t-tests, Pearson correlations, and serial mediation analyses were used in the data analysis. Results: A total of 398 (79.442%) adolescents with depressive disorders reported experiences of NSSI. The results of serial mediation analyses determined that childhood trauma has a direct (estimate = 0.209, 95% CI: 0.063, 0.334) and indirect (estimate = 0.271, 95% CI: 0.199, 0.371) impact on NSSI. The indirect impact of childhood trauma on NSSI through negative life events alone (estimate = 0.096, 95% CI: 0.007, 0.169), coping styles alone (estimate = 0.088, 95% CI: 0.034, 0.183), and negative life events on coping styles (estimate = 0.086, 95% CI: 0.042, 0.162) was significant. Conclusion: This study demonstrates that screening for childhood trauma should be considered when preventing and treating NSSI behavior in adolescents with depressive disorder. Managing negative life events and coping style may mitigate the negative impact of childhood trauma on NSSI behavior in adolescents with depressive disorder.