机构地区:[1]暨南大学附属第一医院精神心理科,广东省广州市510630 [2]中山大学南校区医院,广东省广州市510732
出 处:《中国临床康复》2006年第18期56-58,共3页Chinese Journal of Clinical Rehabilitation
摘 要:目的:了解高年级大学生网络成瘾程度及其与个性特征、心理症状的关系。方法:在2004-05采用随机群体抽样抽取广州中山大学3年级理工类专业、文科类专业和计算机系共28个班112名大学生作为被试对象,男生605名,女生507名,平均年龄(21.50±1.00)岁。使用杨氏互联网成瘾测试量表、艾森克个性问卷、症状自评量表评定、焦虑自评量表、抑郁自评量表分别评定被试者的个性特征、心理健康状况、焦虑的主观感受、抑郁状态的轻重程度,采用一般情况调查问卷调查大学生的一般情况。结果:共发放问卷1137份,收回问卷1137份,剔除资料不全问卷25份,实际有效问卷为1112份,有效率为97.80%。①互联网成瘾测试量表测定结果:符合网络成瘾判断标准的有17例(男性15例,女性2例),占1.53%;准成瘾者291例,占26.17%,男性网络成瘾发生率高于女性。②症状自评量表、艾森克个性问卷、焦虑自评量表、抑郁自评量表评定结果:成瘾者症状自评量表总分及多数因子分明显高于普通网络使用者[(140.3±143.8,44.6±41.83),(P<0.025)];艾森克个性问卷中成瘾者的精神病质分与神经质分高于普通网络使用者[(53.9±9.6,45.3±8.7),(59.7±11.8,46.2±11.5);P<0.05],而说谎分则较低[(34.4±8.3,44.9±22.0),P<0.05]。焦虑自评量表及抑郁自评量表得分均为网络成瘾者高于普通网络使用者[(62.63±20.29,41.43±9.61),(46.50±14.74,38.51±8.28),(P<0.025)]。结论:高校学生网络成瘾发生率为1.53%;网络成瘾者有更多的心理症状,其中焦虑、抑郁症状比普通网络使用者为重;网络成瘾者的情绪较正常使用者不稳定,并缺乏感情,且较不会掩饰。AIM: To understand the severity of internet addiction and its relationship with the personality characteristics and psychiatric symptoms in senior university students. METHODS: A total of 1 112 junior students (605 males and 507 females) with the mean age of (21.50±1.00) years were cluster sampled from 28 classes of Sun Yat-sen in May 2004, and they majored in science, liberal arts and computer science respectively. Their personality characteristics, mental health status, subjective feeling of anxiety and severity of depression were assessed with Young internet addiction test scale, symptom checklist-90 (SCL-90), Eysenck personality questionnaire (EPQ), self-rating anxiety scale (SAS) and self-rating depression scale (SDS), and their general data were investigated with general information forms. RESULTS: Totally 1 137 questionnaires were sent out and all were recollected, 25 with incomplete data were excluded, and 1 112 ones were in effect, the effective rate was 97.8%. ①Results of the Young internet addiction test scale: 17 students (1.57%, 15 males and 2 females) met the diagnostic criteria of internet addiction, which were called addicts, and 291 students (26.17%) were quasi-addicts, the incidence of interact addiction was higher in males than in females. ② Results of SCL-90, SAS, EPQ, SDS: The total score and most factor scores of SCL-90 in the addicts were obviously higher than those in the normal users (140.3±143.8, 44.6±41.83, P 〈 0.025). The scores of psychoticism and neuroticism of EPQ in the addicts were higher than those in the normal users (53.9±9.6, 45.3±8.7; 59.7±11.8, 46.2±11.5; P 〈 0.05), but the score of lie was lower than that in the normal users (34.4±8.3, 44.9±22.0, P 〈 0.05). The scores of SAS and SDS were higher in the addicts were higher than those in the normal users (62.63±20.29, 41.43±9.61; 46.50± 14.74, 38.51±8.28; P 〈 0.025). CONCLUSION: The incidence of internet addiction in university students
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