合肥市中学生网络成瘾流行病学调查报告

Epidemiological Investigation on Internet Addiction among Middle School Students in Hefei

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 make out the epidemiologieal characteristic of middle school students with interoet addiction and to explore the possible reasons for the addiction. Methods： According to the system layering random sample method, we randomly selected six different junior and senior middle school in Hefei city and 2 classes in each grade per school. Total 2010 students were enrolled in the investigation, and 1949 students were successfully investigated. With the self-made questionnaire ＂ Background investigation form＂ and the ＂ Internet Addiction Test＂, we took a concentrate survey in different schools. Results： The rate of possible internet addiction （ including 5 cases with internet addiction） of middle school students in Hefei city is 3.5 %. The rate of possible internet addiction was higher in male than that in female （ 5.9% vs. 0. 8% ） ; and it is higher in senior middle school students than that in junior middie school （5. 1% vs. 1.9% ） ; the rate of possible internet addiction among students in suburban school, city-suburban school and downtown school gradually increased （ respectively 1.2%, 2. 1%, 2. 3%, x^2 = 81.55, P 〈 0. 01 ） . However, the rate of possible internet addiction among the province key school, city key school and normal school decreased in turn （5.7%, 5.4%, 4. 1%, x^2 =82.64, P〈0.01} . The positive rate in the students of normal class, of key class and of non-discriminated class also decreased in turn （5.2%, 2. 2%, 1.3% ） . It was higher among the students with informal status than among those with formal status （ 4. 2%, 3. 2% ） . and it was higher among the students who have computer in family than among those without computer （6.7%, 2.7% ） . Conclusion： Age, gen- der, the available way to get to the internet and the effectiveness of supervision are risk factors of internet addiction. It is necessary to take an early intervention.