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目的了解延边地区朝鲜族大学生网络成瘾状况及其影响因素,为朝鲜族大学生正确使用网络和促进身心健康发展提供理论支持。方法在延边大学以班级为单位,随机抽取4 246名朝鲜族大学生为调查对象,对其网络成瘾情况及心理健康等方面进行问卷调查。结果有13.59%的朝鲜族大学生存在网络成瘾问题。其中男生的网络成瘾检出率(18.08%)高于女生(7.59%)(χ2=97.421,P<0.01);城市生源(16.69%)高于乡村(9.00%)(χ2=51.56,P<0.01);不同学习成绩、每月生活支出、家庭情况学生网络成瘾检出率差异均有统计学意义(χ2值分别为1 147.574,1 234.531,385.965,P值均<0.01)。网络成瘾大学生生活事件中人际关系、学习压力、受惩罚、丧失和健康适应等因子得分均高于非网络成瘾大学生,差异均有统计学意义(t值分别为94.279,38.411,36.383,3.415,21.205,P值均<0.01)。网络成瘾朝鲜族大学生SCL-90各因子得分均高于非网络成瘾大学生,差异均有统计学意义(P值均<0.01)。Logistic回归分析显示,性别、生源地等9个因素进入回归模型(P值均<0.05)。结论朝鲜族大学生网络成瘾状况与东部沿海城市大学生一致,网瘾者生活事件和心理问题较为严重。应采取有效措施进行及时干预和引导。
Objective To understand the status of Internet addiction among Korean college students in Yanbian and its influencing factors, and to provide theoretical support for Korean college students to use the Internet correctly and to promote their physical and mental health. Methods A total of 4 246 Korean college students were randomly selected from Yanbian University as a class unit to conduct a questionnaire survey on Internet addiction and mental health. As a result, 13.59% Korean college students were experiencing internet addiction. The detection rate of internet addiction in boys was higher than that in girls (18.08%) (7.59%) (χ2 = 97.421, P <0.01); that of urban students (16.69%) was higher than that in rural areas (χ2 = 51.56, 0.01). There were significant differences in the detection rate of internet addiction between students with different academic records, monthly living expenses and family circumstances (χ2 = 1,147.574,1 234.531,385.965, P <0.01). Internet addiction college students life events such as interpersonal relationships, study pressure, punishment, loss and health adaptation factors were higher than non-Internet addiction college students, the differences were statistically significant (t values were 94.279,38.411,36.383,3.415 , 21.205, P <0.01). Internet addiction Korean college students SCL-90 scores were higher than non-Internet addiction college students, the differences were statistically significant (P <0.01). Logistic regression analysis showed that 9 factors such as gender and origin were included in the regression model (all P <0.05). Conclusion Internet addiction status of Korean college students is consistent with that of students in eastern coastal cities. Internet addicts have more serious life and psychological problems. Effective measures should be taken for timely intervention and guidance.