青海省高职院校大学生网络成瘾现状及影响因素分析
Analysis of the Current Situation and Influencing Factors of Internet Addiction among College Students in Higher Vocational Colleges and Universities in Qinghai Province

目的：探究青海省高职院校大学生网络成瘾的现状以及影响因素，为预防大学生网络成瘾提供科学依据。方法：于2024年3月至2024年4月，采用分层整群抽样，对青海省两所高职院校在校大学生进行问卷调查，调查内容包括人口学特征、大学生健康危险行为调查问卷、焦虑、抑郁量表，采用SPSS28.0软件对所得数据进行相关性分析，检验水准α = 0.05。结果：共收取问卷2232份，其中有效问卷1734份，问卷有效回收率77.7%。大学生网络成瘾检出率为20.7%。二元Logistic回归分析结果显示，女生(OR = 2.107)、大二年级(大二：OR = 1.407；大三：OR = 0.710)、睡眠不足(OR = 0.710)、故意伤害行为(OR = 1.445)、不良情绪和自我伤害(OR = 1.900)、物质成瘾(OR = 1.375)、性行为(OR = 1.704)、焦虑(OR = 2.280)与大学生网络成瘾均呈正相关(p值均 < 0.05)。结论：青海省高职院校大学生网络成瘾检出率高，学校、家庭和社会应及时关注多种危险因素，加强引导和监督，以减少大学生网络成瘾的发生。
Objective: This paper aims to explore the current situation of Internet addiction among college students in higher vocational colleges and universities in Qinghai Province and the factors affecting it, so as to provide a scientific basis for the prevention of Internet addiction among college students. Methods: From March 2024 to April 2024, a questionnaire survey was conducted on college students of two higher vocational colleges and universities in Qinghai Province using stratified cluster sampling, which included demographic characteristics, questionnaire on college students’ health risk behaviors, and anxiety and depression scales, and correlation analysis was performed on the obtained data using the SPSS28.0 software, with a test level of α = 0.05. Results: A total of 2232 questionnaires were collected, of which 1734 were valid questionnaires with an effective recovery rate of 77.7%. A total of 2232 questionnaires were collected, of which 1734 were valid questionnaires, and the effective recovery rate of questionnaires was 77.7%. The detection rate of Internet addiction among college students was 20.7%. The results of binary logistic regression analysis showed that female students (OR = 2.107), sophomores (sophomore: OR = 1.407; junior: OR = 0.710), sleep deprivation (OR = 0.710), intentionally injurious behaviors (OR = 1.445), bad emotions and self-harm (OR = 1.900), and substance addiction (OR = 1.375), sexual behavior (OR = 1.704), and anxiety (OR = 2.280) were all positively correlated with college students’ Internet addiction (all p-values < 0.05). Conclusion: The detection rate of Internet addiction among college students in higher vocational colleges and universities in Qinghai Province is high. Schools, families and society should pay attention to multiple risk factors in time and strengthen guidance and supervision in order to reduce the occurrence of college students’ Internet