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延安市高中生网络成瘾的心理状况分析 被引量:1

Mental Health Status of High School Students with Internet Addiction Disorder in Yan’an
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摘要 [目的]了解延安市中学生网络成瘾的心理健康状况,并为心理干预提供依据。[方法]采用分层抽样方法抽取某中学750名高中生为调查对象,进行Young网络成瘾量表、症状自评量表(SCL-90)、焦虑自评量表(SAS)和抑郁自评量表(SDS)调查评估。[结果]调查对象网络成瘾人数为230人(32.49%),男生和女生间差异无统计学意义;网络成瘾者SCL-90的各因子均分均高于正常使用网络者(t=3.14~4.47,P〈0.01),阳性检出率为37.39%~72.17%,中度程度(≥3)检出率为6.09%~21.74%,均高于正常使用网络者(χ2=3.93~38.47,P〈0.05)。网络成瘾者的SAS得分高出正常使用网络者近5分,阳性检出率、中度、重度焦虑检出率均高于正常使用者。网络成瘾者的SDS得分高于正常使用网络者,阳性检出率及重度抑郁检出率均高于正常使用网络者。[结论]高中生网络成瘾者心理健康水平低于正常使用网络者,杜绝网络成瘾,需要学生自己、家庭、学校、社会的共同努力和支持。 [Objective] To understand the mental health status of Yan’an high school students with internet addition disorder(IAD),and to provide basis for psychological intervention.[Methods]A psychological assessment was carried out with Young’s Internet Addiction Scale,Symptom Check List-90(SCL-90),Self-Rating Anxiety Scale(SAS) and Self-Rating Depression Scale(SDS) among 750 students selected from a high school by stratified and cluster sampling.[Results]The IAD prevalence rate of the students was 32.49%,and no significant differences were found between boys and girls.All the average scores of SCL-90 factors were higher in the IAD students than the normal ones(t=3.14-4.47,P0.01);the detection rates of IAD were in the range of 37.39%-72.17%;the detection rates of factor scores≥3 were in the range of 6.09%-21.74%;all these detection rates were higher than those of normal ones(χ2=3.93-38.47,P0.05).The SAS score was higher in the IAD students than in the normal ones by nearly 5 points,and both the detection rates of IAD and medium and severe depression were higher in the IAD students.The same results were shown in SDS survey.[Conclusion]The mental health level is lower among IAD students than normal ones.Therefore,joint effort and support from the students themselves,family,school,and society are needed for IAD intervention.
出处 《环境与职业医学》 CAS 北大核心 2012年第8期481-484,共4页 Journal of Environmental and Occupational Medicine
基金 陕西省教育厅科学研究计划项目(编号:08JK199)
关键词 网络成瘾 心理健康 分析 internet addition disorder mental health analysis
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