Analysis of related factors associated with campus bullying among middle and high school students
10.16835/j.cnki.1000-9817.2024103
- VernacularTitle:中学生遭受校园欺凌相关因素分析
- Author:
MA Caixia, YANG Tian, ZHANG Xiuhong, GAO Sheng, MA Xinyue
1
Author Information
1. School of Public Health, Inner Mongolia Medical University, Hohhot (010059) , Inner Mongolia Autonomous Region, China
- Publication Type:Journal Article
- Keywords:
Violence;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2024;45(4):503-508
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyse associated factors of campus bullying in schools, and to construct a nomogram model to predict the risk of campus bullying, so as to provide a theoretical basis for campus bullying prevention and control.
Methods:In September 2023, 89 117 middle and high school students were selected by stratified cluster random sampling method within 12 cities (103 counties) in Inner Mongolia, and were surveyed with self administered questionnaire. Among them, there were 62 381 participants in the training set and 26 736 participants in the testing set. Statistical analysis was conducted using χ 2 test and multiple Logistic regression, and a nomogram model was drawn for predicting campus bullying.
Results:The prevalence of campus bullying was 3.49%. Living in a suburban county, living in an unstable family, not the only child, having a father with a college degree or above, sometimes or never eating breakfast, being overweight or obese, living on campus, being scolded by parents in the past 30 days, smoking, Internet addiction, experiencing depression, anxiety symptoms, recreational soluble solvents use, cough medicine abuse, nonprescribed use of sedatives were all positively correlated with campus bullying ( OR =1.18, 1.40, 1.12, 1.33, 1.13, 1.72 , 1.12, 1.17, 1.82, 1.32, 1.83, 3.92, 2.40, 2.25, 1.51, 1.63, P <0.01).There were a negative correlation between high school students, female students, and the number of physical education classes per week (2-3, ≥4) with campus bullying ( OR =0.67, 0.58, 0.72, 0.83, P <0.01). The prediction model of campus bullying risk was established by nomogram model. The area under curve (AUC) was 0.82, and the calibration curve showed that the predicted value was close to the actual value.
Conclusions:Bullying among middle and high school students are related to family intimacy, poor daily behaviour and psychological factors. Targets of bullying intervention in schools should be identified, and preventive and control measures against bullying in secondary schools should be formulated, so as to reduce the occurrence of campus bullying.
