Relationship among cyberbullying, depressive symptoms and suicidal ideation in college students / 中国学校卫生

ABSTRACT

Objective@#To identify the latent classes of cyberbullying in college students, and to analyze its relationship with depressive symptoms and suicidal ideation, so as to provide a theoretical reference for effectively intervention of cyberbullying.@*Methods@#Cluster random sampling was used to select 1 094 college students from Liaoning Province and Jilin Province from April to May, 2021. The Cyberbullying Victims Behaviors Scale, the Center for Epidemiological Studies Depression Scale and BSI CV were used in this study and data was analyzed by using latent class analysis, one way analysis of variance and Logistic regression to analyze the data.@*Results@#Cyberbullying of college students could be divided into three latent classes low incidence group ( 72.40 %), general incidence group (20.20%) and high incidence group (7.40%). There were significant differences in depressive symptoms and suicidal ideation among different classes of cyberbullying ( P <0.01). Logistic regression analysis showed that after controlling for demographic variables, general incidence group and high incidence group significantly and positively predicted depressive symptoms ( β general incidence group =0.88, β high incidence group =2.44, P <0.01) and suicidal ideation ( β general incidence group =0.50, β high incidence group =1.20, P <0.01).@*Conclusion@#Families, schools and society should conduct different interventions for college students who suffer from different classes of cyberbullying to reduce depressive symptoms and suicidal ideation and promote mental health of college students.