BMC Public Health (Oct 2024)

Examining the mediating effect of real and cyber self-control on cyberbullying and health risk behaviors among secondary vocational students in China: a cross-sectional study

  • Jinyang Wang,
  • Hailian Zhang,
  • Di Tian,
  • Yaqin An,
  • Yu Wang,
  • Yunhe Zheng

DOI
https://doi.org/10.1186/s12889-024-20386-z
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 11

Abstract

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Abstract Background Cyberbullying and health risk behaviors are pervasive issues for secondary vocational students that not only detrimentally impact their academic achievement but also pose a significant threat to overall health. The purpose of this study was to understand the current situation of cyberbullying and health risk behaviors among secondary vocational students in China and to explore the relationships among cyberbullying, self-control, self-control over internet usage, and health risk behaviors through a mediation model. Methods This was a cross-sectional study. From March to April 2023, a self-administered questionnaire was completed by a cluster sample of 1184 students from grades 1 to 3 at three secondary vocational schools in Jilin Province. The researchers utilized a sociodemographic questionnaire, the Cyberbullying and Cybervictimization Scale (CAV), the Adolescent Health Related Risky Behavior Inventory (AHRBI), the Self-Control Scale (SCS), and the Internet Usage Self-Control Scale (IUSCS-CS) to assess the prevalence and impact of cyberbullying and health risk behaviors. Descriptive statistics, spearman correlation analyses. Finally, the Process plug-in V2.16.3 was used to analyze a mediation model for the data. Results Among secondary vocational students, 839 individuals (70.86%) experienced cyberbullying and 1036 individuals (87.50%) had one or more health risk behaviors. A chi-square test showed that the differences in cyberbullying incidence were statistically significant (P < 0.05) for being children, type of accommodation, residence, ethnicity, purpose of using the internet, and family composition. Statistically significant differences in health risk behaviors were observed based on gender, type of accommodation, residence, ethnicity, academic achievement, classmate relationships, purpose of using the internet, and family composition (P < 0.05). Health risk behaviors and cyberbullying were correlated (r = 0.60), health risk behaviors and self-control and internet usage self-control were negatively correlated (r = -0.42, -0.50). Mediation analysis indicated that self-control (0.02, 0.08) and internet usage self-control (0.08, 0.17) partially mediated the association between cyberbullying and health risk behaviors. Conclusions Secondary vocational students exhibit a high prevalence of cyberbullying and health risk behaviors. The study confirmed that self-control and internet usage self-control has an important role in mediating cybeibullying and health risk behaviors. Adolescent health promoters should develop targeted strategies to enhance the self-control of secondary vocational school students to mitigate their engagement in health risk behaviors.

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