BMC psychology · 2025
Bayesian network analysis of individual-level factors associated with bullying among high school students.
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Feng Yanmei, Luo Xinyu, Li Xinrui, Liu Yilin, Zeng Yong
Аннотация
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.
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.