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中学生遭受网络欺凌现状及相关因素分析
引用本文:蒋炫励,王晓宇,顾嘉昌,蒙沿羱,盛佳婷,刘芳妒,李敏辉,费高强,张徐军,林萍. 中学生遭受网络欺凌现状及相关因素分析[J]. 中国学校卫生, 2023, 44(3): 398-402. DOI: 10.16835/j.cnki.1000-9817.2023.03.018
作者姓名:蒋炫励  王晓宇  顾嘉昌  蒙沿羱  盛佳婷  刘芳妒  李敏辉  费高强  张徐军  林萍
作者单位:1.东南大学公共卫生学院流行病与卫生统计学系,南京 210009
基金项目:江苏省研究生科研与实践创新计划项目SJCX21_0085江苏省研究生科研与实践创新计划项目SJCX22_0074
摘    要:  目的  了解中学生遭受网络欺凌现状及其相关因素,为预防和降低中学生网络欺凌的发生提供科学依据。  方法  2019年3月1日—5月31日,采用分层整群随机抽样的方法抽取江苏省宜兴市3所初中和4所高中的12 940名学生,利用自编问卷进行问卷调查。采用χ2检验比较网络欺凌遭受率在不同社会人口学特征组间差异,采用多因素Logistic回归进行相关因素分析,构建列线图预测模型并进行验证。  结果  中学生网络欺凌遭受率为12.3%。Logistic回归分析结果显示,本人饮酒(OR=1.93)、不能情绪自控(OR=1.30)、认为生活环境不太安全(OR=1.70)、对周围人不太信任(OR=1.66)、每天上网时间≥2 h(OR=1.39)、总是使用社交软件(网站)(OR=2.24)、家庭成员关系比较矛盾(OR=1.46)、较多感到被父母忽视(OR=1.50)、担任过班干部(OR=1.30)以及不受同学欢迎(OR=1.34)均与中学生遭受网络欺凌呈正相关(P值均 < 0.05)。基于上述10项影响因素构建的列线图预测模型区分度较好(AUC=0.73)。  结论  中学生遭受网络欺凌较为普遍,网络使用、父母忽视和班级职务等均是遭受网络欺凌的相关因素。

关 键 词:因特网   暴力   精神卫生   回归分析   学生
收稿时间:2022-11-11

Cyberbullying and associated factors among middle school students
Affiliation:1.Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing (210009), China
Abstract:  Objective  To explore cyberbullying and risk factors of middle school students, and to provide a reference for cyberbullying prevention in school settings.  Methods  A stratified cluster random sampling method was used to select 12 940 students from three junior high schools and four senior high schools in Yixing City of Jiangsu Province, China, to conduct a questionnaire survey from March 1 to May 31, 2019. The Chi-square test was performed to compare differences in the prevalence of cyberbullying among groups with different sociodemographic characteristics, and the multivariate Logistic regression model was employed to analyze the risk factors. A risk predictive nomogram model was constructed and then verified.  Results  Middle school students were found to be victims of cyberbullying at a rate of 12.3%. The Logistic regression results showed that alcohol use (OR=1.93), lack of emotional management (OR=1.30), feeling unsafe (OR=1.70), not trusting people (OR=1.66), increased daily online time (OR=1.39), higher frequency of using social software or websites (OR=2.24), poor relationships with family members (OR=1.46), parental neglect (OR=1.50), class leadership (OR=1.30) and poor relationships with classmates (OR=1.34) were risk factors for middle school students who were victims of cyberbullying (P < 0.05). Based on these 10 independent risk factors, the nomogram prediction model, had good discrimination (AUC=0.73).  Conclusion  Cyberbullying is common among middle school students. Internet use, parental neglect and class leadership all have an impact on cyberbullying.
Keywords:
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