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高中生网络成瘾倾向及影响因素分析 被引量:24

Incidence of internet addiction disorders and its related factors in senior middle school students
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摘要 目的探讨在校高中生的网络成瘾倾向状况及相关因素,为采取有效干预措施提供理论依据。方法采用整群抽样调查方法,抽取在校高中生,用一般情况调查表、网络成瘾自评量表、总体幸福感量表、卡特尔16PF量表、情绪-社交孤独问卷、父母教养方式问卷、状态-特质焦虑量表、领悟社会支持量表等进行测查。结果在校高中生网络成瘾倾向发生率为6.60%,男女学生之间的网络成瘾倾向发生率(6.60%,6.70%)差异无显著性。网络成瘾倾向者与正常使用网络者在总体幸福感量表[(70.21±12.12)分,(78.78±9.96)分]、情绪-社交孤独问卷、领悟支持评定量表、状态-特质焦虑量表等量表评分差异存在显著性(P<0.01)。网络成瘾倾向者16PF的稳定性、有恒性、敢为性、世故性、自律性、内向与外向性、心理健康者的人格因素、从事专业而有成就者的人格因素及在新环境中有成长能力的人格因素等因子评分显著低于正常使用网络组(P<0.05),在敏感性、怀疑性、紧张性等因子评分显著高于正常使用网络组(P<0.05)。高中生网络成瘾倾向严重程度的影响因素多元逐步回归分析表明,总体幸福感、从事专业而有成就者的人格因素、社交孤独、恃强性、紧张性、学校及母亲温暖理解等7个变量进入回归方程。其中,总体幸福感、专业而有成就者的人格因素和网络成瘾倾向严重程度之间呈负相关。结论网络成瘾的防治要采取综合干预措施,对有网络成瘾倾向的中学生应进行早期干预。 Objective To investigate the status of internet addiction among senior high school students and analyze its related factors, and to provide basis for prevention measures. Methods A cluster randon staratified sample of 1481 senior middle school students were investigated with a self-administered questionnaire, GWB, 16PF, ESLI, EBMU,Percived Social Support Scale (PSSS) ,STAI. Results The proportion of addicted students is 6.60%. There are very significant difference on the scores for GWB, ESLI, PSSS, STAI between lAD and NOIAD. There are also exist very significant in factor Emotional Stability, Opennessto Change, Rule-Consciousness, Sensitivity, Privateness, Perfectionism, Tension, Extraversion, Self-Control, Self-Estee and Adjustment , Leadership and Creativity of 16PF. The stepwise regression analysis showed GWB, Self-Esteem and Adjustment, Dominance, Tension,school sorts and MF1 entered the regression equation. Conclusion Many factors played important roles in the occurrence of internet addiction. The integrated prevention measure should be taken according to addicted students early.
出处 《中国行为医学科学》 CAS CSCD 2006年第8期734-736,共3页 Chinese Journal of Behavioral Medical Science
基金 2004年金华市科委科技计划项目(2004-1-355)
关键词 高中生 网络成瘾 影响因素 Senior middle school students Internet addiction disorders Related factors
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