School Bullying in Compulsory and Advanced Secondary Education. Determining Factors in its Intervention

An Analysis of the Association between School Bullying Prevention and Control Measures and Secondary School Students' Bullying Behavior in Jiangsu Province

(1) Background: China released regulations on school bullying prevention and control in 2017; however, current research on school bullying in China focuses on exploring influencing factors and lacks empirical research on the effectiveness of anti-bullying policies in schools. The objective of this study was to use an empirical model to explore the association between bullying prevention and control measures and secondary school students' bullying victimization and multiple bullying victimization in Chinese schools. (2) Methods: Data were derived from the 2019 Surveillance of Common Diseases and Health Influencing Factors among Students in Jiangsu Province. The school's bullying prevention and control measures, which was the independent variable, were obtained in the form of a self-report questionnaire and consisted of five measures: the establishment of bullying governance committees, thematic education for students, thematic training for parents, special investigations on bullying, and a bullying disposal process. Bullying victimization and multiple bullying victimization, which was the dependent variable, were obtained through a modified version of the Olweus bullying victimization questionnaire. In order to better explain the differences in the results, this study constructed multilevel logistic regression models to test the association between school bullying prevention and control measures and the rates of bullying victimization and multiple bullying victimization among secondary school students at both the school level and the student level. Meanwhile, this study constructed five models based on the null model by sequentially incorporating demographic variables, physical and mental health variables, lifestyle variables, and bullying prevention and control measures in schools to verify this association. (3) Results: A total of 25,739 students were included in the analysis. The range of bullying victimization rates for students in the different secondary schools in this study was between 6.8% and 37.3%, and the range of multiple bullying victimization rates was between 0.9% and 14.8%. The establishment of bullying disposal procedures was strongly associated with a reduction in bullying victimization (OR = 0.83, 95%CI: 0.71-0.99, p < 0.05). Establishing bullying disposal procedures was not significantly associated with multiple bullying victimization rates (OR = 0.89, 95%CI: 0.73-1.09, p > 0.05). The establishment of a bullying governance committee, thematic education for students, thematic training for parents, and special surveys on bullying were not significantly associated with bullying victimization rates or multiple bullying victimization rates (all p > 0.05). (4) Conclusions: Among the current bullying prevention and control measures for secondary school students in China, the establishment of a bullying disposal process was conducive to reducing the rate of bullying victimization, but it was ineffective in reducing the rate of multiple bullying victimization, and the other preventive and control measures did not achieve the purpose of anti-bullying in schools.

Prevalence and associated factors of school bullying among Chinese college students in Changsha, China

BACKGROUND

School bullying has attracted worldwide attention for its adverse outcomes; however, there is still a lack of research among college students. The aim of this study was to investigate the prevalence of school bullying victimization and the associated factors among Chinese college students.

METHODS

8098 Chinese college students from two universities in Hunan province were recruited in this cross-sectional study, and data on participants' demographic information, bullying history, suicidal behaviors, anxiety (Self-Rating Anxiety Scale) and depression (Self-reporting Depression Scale) were collected. Binary logistic regression was used to analyze the independent correlates of school bullying.

RESULTS

The prevalence of school bullying was 8.03% in our study. Gender (OR,0.792;95%CI[0.660,0.950]; p = 0.012); depression (OR,1.979; 95%CI[1.359,2.883]; p < 0.001); anxiety (OR,1.996; 95%CI[1.388, 2.869]; p < 0.001); suicidal ideation (OR,1.353;95%CI[1.087,1.684]; p = 0.007); suicide attempts (OR,1.772;95%CI[1.306,2.403]; p < 0.001); family income between 30,000 and 70,000/year (yuan) (OR,0.763;95% CI[0.627,0.929]; p = 0.007) and family income more than 70,000/year (yuan) (OR,0.578;95%CI[0.461,0.725]; p < 0.001) were independent correlates of school bullying. The bullying score was positively correlated with physical or mental disorder history, family history of mental disorder, suicidal ideation, suicide plans, suicide attempts, anxiety, depression, smoking and drinking alcohol (all p < 0.05), and negatively correlated with right-handedness, good relationship with parents and family income (all p < 0.05).

LIMITATIONS

No causal relationship could be drawn due to the cross-sectional design.

CONCLUSION

School bullying is quite common among college students. In order to improve students' mental health and prevent suicide, we should pay attention to the negative effects of bullying victimization such as depression, anxiety, suicidal behaviors and so on, apart from putting in place anti-bullying interventions.

Development and Validation of Two Questionnaires to Study the Perception of Conflict in Physical Education

Improving the quality of teaching and learning, as well as school coexistence are international priorities for the new educational challenges of the 21st century (UNESCO 37 C/4 resolution). Physical Education (PE) has become a key subject for education on school coexistence by enabling significant motor experiences to promote interpersonal relationships and transform motor conflicts (MC). The objective of this research was to develop and validate two questionnaires (CONFLICT1-AGE and CONFLICT1-RES) to study secondary school students’ perception about MC in PE. Study 1 searched for evidence related to their content validity and response process validity, and Study 2 examined internal structure, reliability, and concurrent validity. As a result, a seven-item single-factor model was selected for CONFLICT1-AGE, and a five-item single-factor structure was chosen for CONFLICT1-RES. Both models exhibited an excellent fit to the data, where CONFLICT1-AGE: χ² (df) = 18.621 (14), p = 0.180, RMSEA (90% CI) = 0.033 0(0.000–0.069), CFI = 0.994, TLI = 0.991; CONFLICT1-RES: χ² (df) = 13.350 (5), p = 0.020, RMSEA (90% CI) = 0.075 (0.027–0.125), CFI = 0.986, TLI = 0.972. Furthermore, both questionnaires presented satisfactory internal consistency (α_{CONFLICT1-AGE} = 0.745, α_{CONFLICT1-RES} = 0.737). Their combination will provide a wide view of secondary school students’ perception about MC.