Dong Huixi, Yang Fangru, Lu Xiaozi, Hao Wei
Mental Health Institute of the Xiangya Hospital, National Clinical Research Center for Geriatric Disorders of Xiangya Hospital, Central South University, Changsha, China.
Qingdao Mental Health Center, Qingdao University, Qingdao, China.
Front Psychiatry. 2020 Sep 2;11:00751. doi: 10.3389/fpsyt.2020.00751. eCollection 2020.
The Coronavirus disease 2019 (COVID-19) is an infectious disease presenting a major threat to public health. This study aims to assess Internet use characteristics and objectively examine the potential psychological factors associated with Internet addiction (IA) during the COVID-19 epidemic.
A cross-sectional, anonymized, self-reported survey was conducted among Chinese children and adolescents aged 6 to 18 years old. Participants completed questionnaires containing Young's Internet Addiction Test (IAT) and the Depression, Anxiety, and Stress Scale (DASS-21), and questions regarding demographic information and Internet use characteristics.
A total of 2050 participants (mean age:12.34 ± 4.67 years old, female: 48.44%) were enrolled. Fifty-five (2.68%) participants met the criterion for addictive Internet use (IAT≥70), while 684 (33.37%) participants were classified as problematic Internet users (69≥IAT≥40). Internet usage had grown during the COVID-19 epidemic, including the frequency and duration of recreational Internet use, and the frequency of stay-up Internet use. A linear regression analysis showed female gender (β=-0.091, p<0.001), age (β=0.066, p=0.001), depression (β=0.257, p<0.001), and stress (β=0.323, p<0.001) were significantly correlated with the IAT total scores (R=0.539, R 0.291, p<0.001).
We observed excessive Internet use among Chinese children and adolescents during the outbreak of COVID-19. Age, gender, depression, and stress were the potential key factors affecting IA. Extended family and professional support should be considered for vulnerable individuals during these unprecedented times.
2019年冠状病毒病(COVID-19)是一种对公众健康构成重大威胁的传染病。本研究旨在评估互联网使用特征,并客观考察COVID-19疫情期间与网络成瘾(IA)相关的潜在心理因素。
对6至18岁的中国儿童和青少年进行了一项横断面、匿名的自我报告调查。参与者完成了包含杨氏网络成瘾测试(IAT)和抑郁、焦虑和压力量表(DASS-21)的问卷,以及有关人口统计学信息和互联网使用特征的问题。
共纳入2050名参与者(平均年龄:12.34±4.67岁,女性:48.44%)。55名(2.68%)参与者符合成瘾性互联网使用标准(IAT≥70),而684名(33.37%)参与者被归类为有问题的互联网用户(69≥IAT≥40)。在COVID-19疫情期间,互联网使用有所增加,包括娱乐性互联网使用的频率和时长,以及熬夜上网的频率。线性回归分析显示,女性性别(β=-0.091,p<0.001)、年龄(β=0.066,p=0.001)、抑郁(β=0.257,p<0.001)和压力(β=0.323,p<0.001)与IAT总分显著相关(R=0.539,R²=0.291,p<0.001)。
我们观察到在COVID-19疫情爆发期间,中国儿童和青少年存在过度使用互联网的情况。年龄、性别、抑郁和压力是影响网络成瘾的潜在关键因素。在这些前所未有的时期,应考虑为弱势群体提供大家庭支持和专业帮助。