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

  目的  了解新冠疫情期间返校大学生网络使用情况及影响因素，为及时调整疫情间大学生网络成瘾的干预措施提供科学依据。  方法  采取整群的抽样方法，使用一般情况调查表、网络成瘾量表对某高校2 700名首批返校大学生进行问卷调查。  结果  大学生网络成瘾检出率为32.4%，男生网络成瘾检出率(36.0%)高于女生(31.2%)(χ2=5.42，P < 0.05)；网络成瘾程度与大学生身体健康状况评分(r_s=-0.20)及心理健康状况评分(r_s=-0.24)均呈负相关(P均 < 0.01)。多因素Logistic回归分析显示，与内向性格相比，中性(OR=0.67，95%CI=0.55~0.82)及外向性格(OR=0.59，95%CI=0.48~0.74)与大学生网络成瘾呈负相关；与不锻炼相比，每周体育锻炼≥3次(3~4次:OR=0.67，95%CI=0.51~0.87；≥5次:OR=0.67，95%CI=0.50~0.90)与大学生网络成瘾呈负相关；疫情期间出现家庭损失与大学生网络成瘾呈正相关(OR=1.34，95%CI=1.12~1.60)；主动寻求心理帮助的大学生发生网络成瘾的风险是没有寻求心理帮助的大学生的2.13倍(95%CI=1.14~3.96)；不想返校的大学生发生网络成瘾的风险是想返校的大学生1.50倍(OR=1.50，95%CI=1.26~1.77)。  结论  新冠疫情期间返校大学生网络行为现状不容乐观，应引起社会和高校的足够重视。返校大学生需要多进行体育锻炼以及心理咨询，及时发现和干预心理问题，减轻心理负担，增强心理素质。

Analysis of network usage and influencing factors among college students returning to a vocational college during COVID-19 epidemic

  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%) (χ2=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.