摘要
背景网络成瘾严重危害大学生的学业以及社会功能,但评估和解决这一问题的措施仍有不足。目的探讨温州地区网络成瘾大学生的人格特征。方法本研究采用分层整群抽样方法,采用自评的三维人格问卷(Tridimensional Personality Questionnaire,TPQ)和陈氏网络成瘾量表(Chen Internet Addition Scale,CIAS)对温州市多所大学或职业学校的697名学生进行问卷调查。其中48名学生达到陈氏网络成瘾标准(64分及以上可确认为网络成瘾),并与649名非网络成瘾学生的人格特征进行比较。结果温州地区大学生网络成瘾发生率为6.9%(95%CI=5.1%～9.1%),与非网络成瘾者相比,网络成瘾者更可能为男性、汉族、物质使用史(主要是烟草和酒精)和职业学校学生。网络成瘾者TPQ中的寻求刺激性[17.9(1.2)比13.0(1.6),t=16.75,p<0.001]、躲避伤害性[17.2(1.9)比14.6(1.1),t=15.14,p<0.001]两维度分值高于对照组,奖赏依赖性[14.6(1.4)比18.3(1.7),t=-7.64,p<0.001]维度分值低于对照组。Logistic回归分析发现网络成瘾最重要的独立预测因子为汉族(OR=5.52,95%CI=2.00～15.32),、男性(4.40,1.97～9.81)和物质使用(1.08,1.02～1.15);校正其他变量后,人格变量与网络成瘾无相关性。结论温州地区大学生网络成瘾发生率与国内其他地区接近。采用TPQ评定的网络成瘾大学生的人格特征与非成瘾大学生有统计学差异,但控制性别、民族和物质使用变量后,两组的人格特征无统计学差异。
Background： Internet addiction can seriously affect the social functioning and studies of college students in China but measures for addressing this problem have not yet been developed or tested. Objective： Assess the personality characteristics of college students with internet addiction. Methods： Two self-report scales, the Tridimensional Personality Questionnaire （TPQ） and the Chen Internet Addiction Scale （CIAS）, were administered to a stratified random sample of 697 college students from colleges and vocational schools in Wenzhou, China. The characteristics of 48 subjects who meet Chen’s criteria for internet addiction （score of 64 or greater out of 100 on the CIAS） were compared to those of 649 subjects who did not meet criteria for internet addiction. Results： The prevalence of internet addiction in the sample was 6.9% （95% CI=5.1-9.1%）. Compared to students without internet addiction, those with internet addiction were more likely to be male, of Han ethnicity, to have a history of substance use （primarily tobacco and alcohol）, and to be a student at a technical college. Students with internet addiction had higher mean （sd） scores on the novelty-seeking subscale of the TPQ [17.9 （1.2） v. 13.0 （1.6）, t=16.75 p0.001] and on the harm-avoidance subscale [17.2 （1.9） v. 14.6 （1.1）, t=15.14, p0.001] but lower scores on the reward-dependence subscale [14.6 （1.4） v. 18.3 （1.7）, t=-7.64, p0.001]. Logistic regression found that the most important independent predictors of internet addiction were Han ethnicity （OR= 5.52, 95% CI=2.00-15.32）, male gender （4.40, 1.97-9.81）, and substance use （1.08, 1.02-1.15）. After adjustment for other variables personality measures were not significantly associated with internet addiction. Conclusion： The prevalence of internet addiction among college students in Wenzhou is similar to that in other parts of China. Significant differences in the personality characteristics assessed by the TPQ between university students with and without internet addiction become non-significant after controlling for gender, ethnicity and substance use patterns.
出处
《上海精神医学》
2012年第2期99-107,共9页
Shanghai Archives of Psychiatry
基金
supported by a Science and Technology Planning Grant(number Y20100197)of the Wenzhou municipal government
