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目的:了解合肥市中学生网络成瘾的流行病学特点,探索导致网络成瘾的可能原因。方法:按系统分层随机抽样的方法,在合肥市中学中,抽取6所不同类型的初中和高中,每校每个年级随机抽取2个班,共2010名学生为入组对象。以自行设计的“背景调查表”和“网络成瘾测验(Internet AddictionTest)”为工具,分校集中测试。结果:共获得1949份有效问卷。合肥市中学生可能有网络成瘾问题发生率(包括5例有网络成瘾问题者)为3·5%,男性高于女性(5·9%,0·8%);高中生高于初中生(5·1%,1·9%);初中部中,郊区学校、城郊结合部学校、市区学校学生的可能有网络成瘾问题发生率呈递增趋势(1·2%,2·1%,2·3%,χ2=81·55,P<0·01);省级示范、市级示范以及普通高中学生可能有网络成瘾问题发生率呈递减趋势(5·7%,5·4%,4·1%,χ2=82·64,P<0·01);非重点班,重点班以及未分重点班学生的可能有网络成瘾问题发生率呈递减趋势(5·2%,2·2%,1·3%);非正式学籍者高于正式学籍者(4·2%和3·2%);家中有电脑者高于无电脑者(6·7%和2·7%)。结论:年龄、性别、网络可获得性、对学生的监管是否有效等是网络成瘾的风险因素。有必要对中学生进行网络成瘾的预防干预。
Objective: To understand the epidemiological characteristics of internet addiction among middle school students in Hefei and explore the possible causes of internet addiction. Methods: According to the systematic stratified random sampling method, 6 different types of middle and high schools were selected in Hefei middle school. Two classes were randomly selected for each grade in each school. A total of 2010 students were enrolled. A self-designed “background questionnaire” and “Internet Addiction Test (Internet Addiction Test)” as a tool, the campus concentration test. Results: A total of 1949 valid questionnaires were obtained. Hefei middle school students may have Internet addiction problems (including 5 cases of Internet addiction problems) was 3.5%, men than women (5.9%, 0.8%); high school students than junior high school students (5.1%, 1.9%). Among the junior high schools, the incidence of Internet addiction problems in suburban schools, suburban schools and urban schools showed an increasing trend (1.2% and 2.1% respectively) , 2.3%, χ2 = 81.55, P <0.01). The incidence of internet addiction among provincial demonstrators, municipal demonstrators and ordinary senior high school students tended to decrease (5.7%, 5.4% %, 4.1%, χ2 = 82.64, P <0.01). The possible incidence of Internet addiction among non-key students, key students and non-key students showed a decreasing trend (5.2% 2.2% and 1.3% respectively). Informal students were higher than regular students (4.2% and 3.2%), those with computers at home were higher than those without computers (6.7% and 2.7% %). Conclusions: Age, gender, internet availability, and effectiveness of student supervision are all risk factors for internet addiction. There is a need for prevention interventions for internet addiction among middle school students.