大学生网络成瘾状况及影响因素分析  

Analysis of internet addiction status and influencing factors of college students

作　　者：吴雪嵩 董兆鹏[1] 朱凯[1] 李金栋[1] 王倩[1] 刘玉[1] 李栋[1] 

机构地区：[1]泰山医学院,山东泰安271016

出　　处：《泰山医学院学报》2017年第3期263-265,共3页Journal of Taishan Medical College

摘　　要：目的了解大学生网络成瘾现状,探讨和分析引起网络成瘾的影响因素,为大学生网络成瘾预防与干预措施的制定提供科学依据。方法采用分层整群随机抽样的方法,将1465名大学生按照年级分为三层。采用一般情况调查表、Young网瘾量表、社会支持量表、大学生生活满意度评定量表等四个量表开展研究。数据资料采用频数和构成比描述,χ~2检验、Logistic回归等方法进行单因素、多因素分析。结果该校1385名受试者网络成瘾总平均分为(32.31±8.76),其中93人判定为网络成瘾者,成瘾率6.7%。多因素logistics回归得出,家庭收入(β=0.434)、辅导员满意度(β=0.597)、关注转移(β=0.631)、总体生活满意度(β=-0.114)、时间控制能力(β=-0.879)。结论网络成瘾的独立影响因素包括:家庭年收入、辅导员工作、关注转移、总体生活满意度、时间控制能力。Objective ： To understand the situation and level of the utilization of network resources and the internet addiction of college students,To explore and analyze the influencing factors of Internet addiction, and to provide scientific basis for the prevention and intervention of college students＇internet addiction. Methods：Investigated sites were selected by cluster sampling and 1465 students were divided into three layers according to the grade. General situation questionnaire, Young Internet addiction scale, social support scale, college students＂ life satisfaction rating scale four scale research. Data using frequency and composition ratio description, chi square test, Logistic regression model for single factor, multi factor analysis. Results： The 1385 subjects of Internet addiction total average score was 32.31 ±8.76, of which 93 people judged to be addicted to the Internet addiction rate of 6.7%. Multi factor logistics regression analysis, family income, counselors satisfaction, attention transfer, time control ability of the transfer of attention to the greatest contribution to the equation. Conclusion：The independent influencing factors of internet addiction include： family annual income, counselors＇work, attention transfer, overall life satisfaction, time control ability.

关 键 词：大学生 网络成瘾 危险因素 

分 类 号：R749.99[医药卫生—神经病学与精神病学]