摘要
目的探索大庆市大学生网络成瘾预测因素的相对贡献,为网络成瘾的针对性干预提供依据。方法采用分层整群抽样的方法 ,抽取大庆市4所高校787名大学生为研究对象进行问卷调查,通过分层回归分析和优势分析的方法探讨生活事件等预测因素对网络成瘾的相对贡献。结果在本文主要研究变量中,网络成瘾的最佳预测指标为生活事件、交往焦虑、抑郁和消极应对,其中生活事件对网络成瘾的预测力最强。结论生活事件、情绪因素、应对方式和社会支持等因素对大学生网络成瘾的预测作用各不相同,应根据大学生网络成瘾的具体原因,采取有针对性的干预措施。
Objective To explore the relative contribution to predictive factors of internet addiction among undergraduates in Daqing city,so as to provide basis for targeted intervention on internet addiction.Methods Stratified cluster sampling method was taken in enrolling 787 undergraduates from 4 colleges in Daqing city.A questionnaire survey was conducted among the students.And the relative contribution of various predictive factors like life events to internet addiction was analyzed by using stratified regression analysis and dominance analysis.Results Among the predictive variables of internet addiction,the best indexes for internet addiction were life events,social anxiety,depression,and negative coping.And among these factors life events were of strongest predictive power to internet addiction.Conclusion The life events,emotional factors,coping mode,and social support are of different predictive roles for internet addiction of undergraduates.Some targeted interventions need to be taken according to the concrete reasons for internet addiction of undergraduates.
出处
《中国全科医学》
CAS
CSCD
北大核心
2010年第22期2482-2484,共3页
Chinese General Practice
基金
国家自然科学基金"运用PET
ERP研究青少年网络成瘾机制及亚型分组干预模型构建"(30870771)
关键词
网络成瘾
大中学生
流行病学
Internet addiction
Undergraduates and high school
Epidemiology
