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韶关市青少年学生网络成瘾与心理特征 被引量:2

Internet Addiction Disorder and Psychological Characteristics among Adolescent Students in Shaoguan City.
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摘要 目的了解韶关市青少年学生网络成瘾现状,探讨网络成瘾的相关影响因素及心理特征,为网络成瘾学生的干预与治疗提供理论依据。方法采用分层整群抽样法,随机抽取韶关市4所大学本科、专科及中专学生共3000名,应用网络使用情况、网络成瘾及症状自评量表(SCL-90)问卷进行调查,使用SPSS11.5软件进行统计分析。结果韶关市青少年学生总上网率为97.52%,网络成瘾倾向(IAT)和网络成瘾(IAD)报告率分别为11.51%和3.28%,男生IAT和IAD检出率均高于女生(χ2=16.990,P=0.002)。学历低和性格内向者网络成瘾发生率高(χ2=28.750,10.424;P=0.000,0.005)。性别与网络成瘾呈负相关(β=-0.102),敌对、恐怖、偏执及精神病性与网络成瘾呈正相关(β=0.129,0.092,0.100,0.196),回归方程具有统计学意义(F=60.535,P<0.001)。结论韶关市青少年学生网络成瘾与多种因素有关,并且有相似的心理特征。 Objective To learn about the status of Internet Addiction Disorder(IAD)among adolescent students in Shaoguan city,to explore the influencing factors and psychological characteristics of IAD,and provide a scientific reference for the intervention and treatment of IAD.Methods According to the cluster random stratified sample method,3000 students were randomly selected from four different college schools in Shaoguan.They were investigated with the self-made questionnaire,Internet Addiction Questionnaire and SCL-90.The results were analyzed by using SPSS 11.5.Results The internet use rate of adolescent students was 97.52%.The internet addiction tendency(IAT)rate and the IAD rate were 11.51% and 3.28% respectively.The IAT and the IAD detection rates among male students were significantly higher than those in female students(χ2=16.990,P=0.002).The IAD rate was higher in lower educational background and introversion(χ2=28.750,10.424;P0.01).Sex was negatively correlated with IAD(β=-0.102),while those of hostile,horrible,extreme and psychotic dimensions were positively correlated with IAD(β=0.129,0.092,0.100,0.196).Conclusion Many factors lead to Internet addiction disorder and have definite fundament of psychological characteristics.adolescent students with Internet addiction disorder.
出处 《中国健康心理学杂志》 2013年第6期895-896,共2页 China Journal of Health Psychology
基金 韶关市医药卫生科研计划项目(Y11077)
关键词 青少年 网络成瘾 心理健康 因素分析 学生 Adolescent Internet addiction disorder Psychological health Factor analysis Students
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