出 处:《中国心理卫生杂志》2008年第9期678-682,共5页Chinese Mental Health Journal
摘 要:目的:了解我国中小学生网络用户网络成瘾流行病学特征,探讨不同人口学变量与网络成瘾的关系。方法:通过分层整群抽样,从全国10个省(市)抽取36000名中小学生被试,采用网络成瘾问卷和自编的人口学资料及其相关信息调查表对被试进行施测。结果:(1)共获31915份有效问卷,我国中小学生网络用户网络成瘾整体发生率为6.6%;男生高于女生(9.6%/3.8%,χ2=210,P<0.001));不同年级之间差异显著(χ2=61.9,P<0.001),从小学四年级到高中三年级网络成瘾发生率分别为4.1%、4.3%,、4.6%、8.4%、7.3%、7.5%、6.3%、6.2%、8.4%;三片地区高于一片和二片地区(7.6%/6.1%、6.5%,χ2=8.1,P<0.05);非重点学校高于重点学校(7.5%/6.1%,χ2=12.6,P<0.001);不同生源地之间差异显著(χ2=47.7,P<0.001),来自城市、县城、乡镇和农村的学生的网络成瘾发生率分别为5.7%、8.1%、8.9%、8.7%,农村学校高于城市学校(8.4%,5.5%),住校生高于非住校生(7.9%,6.6%),非独生子女高于独生子女(8.4%,6.1%)。(2)logistic回归分析结果显示性别、年级、是否重点学校、是否独生子女以及经济文化的发展水平是中小学生网络用户网络成瘾的影响因素(P均<0.05)。结论:我国中小学生网络用户的网络成瘾发生率随人口学特征的不同而有所不同,年级、性别、是否重点学校、是否独生子女以及经济文化的发展水平是中小学生网络用户网络成瘾的风险因子。Objective: To make out the epidemiological characteristic on internet addiction among internet users in Chinese elementary and middle school students ( CEMSS ) and explore the effects of demographic information. Methods: 36000 students, selected by striated cluster sampling method from 10 provinces in China, were tested with Internet Addiction Scale and self-made Demographic Information Questionnaire. Results: ( 1 ) 31915 students were successfully investigated. Approximately 6.6% of internet users of CEMSS have suffered from internet addiction. The rate of possible internet addiction was higher in male than that in female ( 9.6% vs. 3.8 ), and it was significantly different from grade 4 to grade 12 (respectively 4. 1%, 4. 3%, 4. 6%, 8.4%, 7. 3%, 7. 5%, 6. 3%, 6. 2%, and 8.4% ; X^2 = 61.9 ; P 〈 0. 001 ) ; the rates of possible internet addiction among internet user of CEMSS in the first region, the second region and the third region gradually increased (respectively 6. 1% , 6. 5%, and 7. 6%, X^2 = 8. 1, P 〈 0. 05 ) ; the rate of possible internet addiction of internet users in general school was higher than that in key school (7.5% vs. 6. 1% ), and it was significantly different among internet users who came from different areas (city, county seat, villages and towns, and country) ( respectively 5.7% , 8.1% , 8. 9% , and 8.7% ; X^2 =47.7; P 〈0. 001 ) ; the rate of possible internet addiction in internet users of rural school was higher than that of city school ( 8.4% vs. 5.5% ) , it was also higher in internet users who were living in school than that in home ( 7. 9% vs. 6. 6% ) ; the rate of possible internet addiction in internet users of non-singletons was higher than that in singletons ( 8.4% vs. 6. 1% ). (2) Gender, grade, key or normal school, singleton or non-singleton and economic status and civilization could influence on internet addiction among internet users of CEMSS according to logistic analyses ( P 〈 0. 05 ) . Conclusion.The rate of
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