This study aimed to understand the current state of adolescent mental health, explore the mediating effect of bullying victimization and resilience in the relationship between adolescent family functioning and mental health, and investigate gender differences in this association. A total of 4319 students (2347 boys and 1972 girls) completed the questionnaire. Mediating effects were analyzed using the framework of structural equation modeling and bootstrapping. The results revealed that family functioning is significantly associated with adolescent mental health, and that bullying victimization and resilience have significant independent and chain mediating effects on this relationship. Multiple group analysis revealed that the independent mediating role of resilience was more significant for male adolescents. Furthermore, the chain-mediated effects of bullying victimization and resilience were observed only in the relationship between family functioning and mental health in male adolescents. To improve the mental health of adolescents, special attention should be given to the impact of family life on adolescents’ school life. Early detection and intervention for adolescents with poor family functioning are also important to effectively prevent bullying victimization and reduce the emergence of mental health problems.

Background: The issue of psychological maladjustment, particularly Non-Suicidal Self-Injury (NSSI), is prevalent among vocational high school students. Therefore, timely identification of high-risk individuals is important in providing further intervention.Methods: A survey was conducted among 2081 students from a vocational high school in Wuhan, China. The students were divided into two groups: those who had engaged in Non-Suicidal Self-Injury (NSSI) within the past two weeks and those who had not. Lasso regression and logistic regression were employed to identify significant risk factors associated with NSSI. Subsequently, a nomogram was developed to enhance the accuracy and efficiency of identifying individuals at high risk for NSSI. The performance of the model was assessed through various validation methods including Area Under the Curve (AUC), calibration curves, and Decision Curve Analysis (DCA).Results: The significant predictors of NSSI encompassed gender, problem behavior, depressive mood, and borderline personality tendencies. Based on these predictors, a nomogram was constructed. The model’s accuracy was validated using AUC, calibration curves, and DCA, showing high accuracy.Conclusion: A nomogram prediction tool for NSSI among vocational high school students was constructed, providing an accurate and quick method for predicting adolescent NSSI behavior.

Anxiety is a prevalent mental health issue among junior high students, significantly impacting their physical and psychological well-being. This study aime

Healthcare worker burnout is a global concern, yet its interrelationships with comorbid psychological factors remain poorly described at the sub-dimension

Purpose: Depression, anxiety and Insomnia are common among middle school students. Non-suicidal self-injury (NSSI) has become an important mental health issue in this group. This study explores the comorbid relationship between depression, anxiety, and insomnia symptoms among junior high school students from a network perspective and investigates the associations between these symptoms and NSSI. Patients and Methods: This study was a cross-sectional design with convenience sampling, and students from junior high schools in Wuhan, China, were selected in October 2023 (N=8244) as survey respondents. An online questionnaire was used to collect data. The Patient Health Questionnaire, Generalized Anxiety Disorder Scale and Insomnia Severity Index were used to assess depression, anxiety and insomnia. Whether NSSI behaviors occurred in the last 1 year was obtained by self-report. Network analysis was used to assess core and bridge symptoms of the depression, anxiety and insomnia co-morbidity network and associations with NSSI. Results: The results revealed that GAD2 “Control Worry”, GAD3 “Excessive Worry” (EI = 1.040), ISI2 “SleepMaint” (EI=1.025) and PHQ2 “Hopeless” (EI=1.018) were the central symptoms of the network, exhibiting the highest expected influence values. GAD5 “restlessness” (BEI=0.376) and PHQ4 “Lack of Energy” (BEI=0.351), PHQ6 “self feeling” (BEI=0.325) and GAD1 “Nervous” (BEI=0.296) were the bridge symptoms. PHQ9 “Suicidal Ideation” (edge weight = 0.33) showed the strongest connection to NSSI. The network comparison test results indicated a more densely connected symptom network in the NSH group than in the NSSI group. Conclusion: Symptoms related to worry are core factors in the network of depression, anxiety, and insomnia among junior high school students. Suicidal ideation is directly and closely associated with NSSI. These symptoms may serve as key targets for early screening and intervention, while the strong link between suicidal ideation and NSSI underscores the need for timely prevention efforts in this vulnerable population.