不同网络使用程度大学生人格特征与生存质量的关系

Relationship between Personality Characteristics and Quality of Life(QOL) in College Students with Different Extent of Internet Use

目的:探讨网络使用程度不同大学生人格特征与生存质量的关系。方法:采用分层整群抽样方法,用网络成瘾诊断量表(Internet AddictionTest,IAT)、世界卫生组织生存质量量表简表中文版(WHO-QOL-BREF)和艾森克人格问卷(Eysenck Personality Questionnaire,EPQ)对某市综合性大学1306名大学生进行测评,然后用结构方程模型分析软件Amos(Analysis of Moment Structures)7.0作路径分析。结果:大学生正常使用网络、网络成瘾倾向和网络成瘾的比率分别为86.45%、12.94%和0.61%。正常使用网络组学生生理、心理和社会关系领域得分均高于网络成瘾倾向组和网络成瘾组学生[(66.0±12.6)vs.(61.1±13.8)、(56.6±16.3);(60.5±14.3)vs.(53.8±14.9)、(43.3±28.6);(65.5±15.8)vs.(60.3±17.7)、(49.4±27.9),均P<0.001]。路径分析结果显示,内外倾维度对生存质量的4个领域有直接正向效应(β=0.106～0.281),神经质维度、精神质维度对生存质量的4个领域有直接负向效应(β=-0.080～-0.265),神经质维度、精神质维度还可通过影响网络成瘾分间接影响生存质量的生理、心理、社会关系3个领域(β=-0.013～-0.020);网络使用程度对大学生生存质量的生理、心理、社会关系3个领域有直接负向效应(β=-0.120～-0.097)。结论:人格特征对网络使用程度大学生生存质量可能有直接和间接影响。

Objective： To explore the relationship between personality characteristics and quality of life （QOL） in college students with different extent of internet use. Methods： Through cluster-stratified sampling, 1306 students in Changsha were investigated with the Internet Addiction Test （ IAT）, Chinese version of WHOQOL-BREF scale, and Eysenck Personality Questionnaire （ EPQ ） . A path analysis was carried out bY AMOS （ Analysis of Moment Structures ） version 7. 0. Results： The prevalence of students with normal internet use, internet addiction tendency and internet addiction （ IAI was 86. 45%, 12.94% and 0. 61%, respectively. The physical domain, psychological domain and social relation domain of QOL of students in normal intemet use group were better than those of students in IA tendency group and IA group [ （ 66.0 ± 12. 6） vs. （ 61.1 ± 13.8 ）, （ 56. 6 ± 16. 3 ） ; （ 60. 5 ± 14. 3 ） vs. （ 53. 8 ± 14.9）, （43.3±28.6）; （65.5±15.8） vs. （60.3±17.7）, （49.4±27.9）; allP〈0. 001] . The path analysis showed that sub-score of introversion-extroversion of EPQ had direct positive effect on 4 domains of WHOQOL-BREF （ β =0. 106 -0. 281） . Sub-scores of neurotieism and psychoticism of EPQ also had direct negative effect on 4 domains of WHOQOL-BREF （ β = - 0. 080 - - 0. 265 ） . The scores of ueuroticism and psychotieism subscales had indirect effect on 3 domains of WHOQOL-BREF （ excluding environment domain ） （ β = - 0. 013 β - 0. 020 ） . IAT score had direct negative effect on 3 domains of WHOQOL-BREF （ excluding environment domain） （ β = -0. 120 - - 0. 097 ） . Conclusion： Personality characteristics may have different effects on quality of life in students with different extent of internet use.