Analysis of network usage and influencing factors among college students returning to a vocational college during COVID-19 epidemic
10.16835/j.cnki.1000-9817.2021.02.025
- VernacularTitle:新冠肺炎疫情期间某高校返校大学生网络使用情况及影响因素
- Author:
JIANG Minmin, WANG Yang, WANG Jing,WU Nan,DU Mengxue,FANG Zhengmei,ZHU Lijun,CHEN Yan,JIN Yuelong,YAO Yingshui
1
Author Information
1. School of Public Health Institute of Chronic Disease Control and Prevention,Wannan Medical College,Wuhu(241002),Anhui Province,China
- Publication Type:期刊文章
- Keywords:
Internet;
Behavior addictive;
Mental health;
Regression analysis;
Students
- From:
Chinese Journal of School Health
2021;42(2):260-263
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the current situation and influencing factors of Internet addiction among college students after returning to school during the COVID-19 epidemic, and to provide scientific basis for timely intervention measures to adjust the risk factors of Internet addiction.
Methods:A cluster sampling method was adopted to conduct a questionnaire survey among 2 700 college students who firstly returned to college using general condition questionnaire and Internet Addiction scale.
Results:The detection rate of Internet addiction disorder was 32.4% among returning college students, moreover, the detection rate of Internet addiction in male students(36.0%) was higher than that in female students (31.2%) (χ 2=5.42,P<0.05). The degree of Internet addiction was negatively correlated with the physical health score (r-s=-0.20) and mental health score (r-s=-0.24) of college students (P<0.01). Multivariate Logistic regression analysis showed that compared with introversion, neutral (OR=0.67, 95%CI=0.55-0.82) and extroverted college students (OR=0.59, 95%CI=0.48-0.74) were protective factors for Internet addiction; compared with no exercise, physical exercise ≥3 times or more per week (exercise 3-4 times：OR=0.67, 95%CI=0.51-0.87; ≥5 times：OR=0.67, 95%CI=0.50-0.90) were the protective factors for Internet addiction among college students; family loss during the epidemic was a risk factor for Internet addiction among college students (OR=1.34, 95%CI=1.12-1.60); the risk of Internet addiction was 2.13 times higher for college students who actively sought psychological help than for those who did not seek psychological help (95%CI=1.14-3.96); college students who did not want to go back to school had 1.50 times the risk of Internet addiction as those who did (95%CI=1.26-1.77).
Conclusion:The current situation of college students online behaviors during COVID-19 is not optimistic, and should arouse sufficient attention from society and universities. In addition, college students returning to school should take more physical exercises and psychological counseling to detect and intervene in psychological problems in time, reduce their psychological burden, and enhance their psychological quality.
