节点文献

数字化背景下大学生网络偏差行为与错失焦虑的关系及对策研究

Relationship between cyber-deviant behavior and fear of missing out among university students in digital era: mechanisms and countermeasures

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 潘桂行潘慧文吴磊金兼浩李晓东张频

【Author】 Pan Guixing;Pan Huiwen;Wu Lei;Jin Jianhao;Li Xiaodong;Zhang Pin;School of Public Health,Nanchang University;Shangrao Vocational Technical College;School of Public Health,Nanchang Medical College;

【通讯作者】 张频;

【机构】 南昌大学公共卫生学院上饶职业技术学院南昌医学院公共卫生学院

【摘要】 目的 探究数字化背景下大学生网络偏差行为与错失焦虑的现状特征、相互关系及影响因素,明确两者作用机制,为制定精准干预策略提供科学依据。方法 采用分层抽样方法,选取高职院校在校大学生为研究对象,调查分析错失焦虑水平、网络偏差行为发生情况等。结果 大学生错失焦虑总体得分为(18.01±6.83)分,网络偏差行为得分为(75.29±21.09)分,两者呈显著正相关(r=0.683);性别、留守经历、专业类型、母亲文化程度对大学生错失焦虑水平和网络偏差行为存在显著影响(P<0.05);多因素分析显示,错失焦虑(β=0.398)和网络使用(β=0.389)是网络偏差行为的主要影响因素(R~2=0.542,均P<0.001)。结论 大学生网络偏差行为与错失焦虑密切相关,性别、留守经历、专业类型、母亲文化程度是关键影响因素,构建分层分类的教育干预体系、强化心理健康支持、优化网络环境可有效改善相关问题。

【Abstract】 Objective To explore the current characteristics, correlation, and influencing factors of college students’ cyber-deviant behavior and fear of missing out(FoMO) in the digital context, clarify their mechanism of action, and provide a scientific basis for formulating targeted intervention strategies.Methods College students from vocational colleges were selected as the research subjects based on a stratified sampling method.The level of FoMO and the occurrence of cyber-deviant behavior were investigated and analyzed.Results The overall score of FoMO among college students was(18.01 ± 6.83),and the score of cyber-deviant behavior was(75.29 ± 21.09),showing a significant positive correlation(r=0.683).Gender, left-behind experience, major type, and maternal educational level had significant impacts on college students’ FoMO and cyber-deviant behavior(P<0.05).Multivariate analysis indicated that FoMO(β=0.398) and internet use(β=0.389) were the main influencing factors of cyber-deviant behavior(R~2=0.542,all P<0.001).Conclusions College students’ cyber-deviant behavior is closely related to FoMO.Gender, left-behind experience, major type, and maternal educational level are key influencing factors.Constructing a hierarchical and classified educational intervention system, strengthening mental health support, and optimizing the internet environment can effectively improve relevant issues.

【基金】 江西省高校人文社会科学研究一般项目(JY24113)
  • 【文献出处】 齐齐哈尔医学院学报 ,Journal of Qiqihar Medical University , 编辑部邮箱 ,2026年09期
  • 【分类号】G444;G645.5
  • 【下载频次】50
节点文献中: 

本文链接的文献网络图示:

本文的引文网络