Background: This study endeavors to establish a comprehensive network elucidating the multifaceted factors associated with bullying among high school students, elucidating their intricate interrelationships. We aim to develop a theoretical framework that informs the design of targeted and efficacious interventions to mitigate bullying behaviors.
Methods: A cross-sectional survey with a structured questionnaire was administered to 1,401 high school students in Yunnan Province to assess their levels of stress, core self-evaluations, dual mode of self-control, depressive symptoms, and bullying experiences. The data were analyzed using chi-square tests, multifactor logistic regression, and Bayesian network models.
Results: Gender, stress perception, core self-evaluation, the dual mode of self-control, and depressive disorders were statistically significant factors associated with variations in bullying detection rates. Within the directed network analysis, depression severity emerged as a key predictor of relational bullying victimization, while both relational and verbal bullying predicted subsequent physical bullying. In the regularized partial correlation network, core self-evaluation exerted the strongest influence, acting as an indirect mediator in predicting relational and physical bullying victimization by modulating individual depression levels in the directed network.
Conclusions: Gender, stress perception, core self-evaluation, the dual mode of self-control, and depression were significantly correlated with bullying victimization. Depressive disorders emerged as a potential direct predictor of relational bullying, whereas relational and verbal bullying predicted physical bullying. Furthermore, core self-evaluation served as a key mediator within this complex network of factors.
Keywords: Bullying; High school students; Psychology networks.
© 2025. The Author(s).