ArticleBMC psychology2025
Bayesian network analysis of individual-level factors associated with bullying among high school students.
Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundThis 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.
methodsA 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.
resultsGender, 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.
conclusionsGender, 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.