School of Psychology, Nanjing Normal University, Nanjing 210024, China.
Faculty of Psychology, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing 100875, China.
J Affect Disord. 2023 Jul 15;333:553-561. doi: 10.1016/j.jad.2023.04.096. Epub 2023 Apr 29.
Previous research has identified the association between online learning and Internet addiction (IA) and the role of family factors in it. However, few studies have treated IA as a multidimensional mechanism and explored the underlying linkage of online learning, IA, and parental marital status with a cross-lagged network approach. The study aimed to examine the relationship between online learning during the COVID-19 pandemic, Internet addiction (IA), and parental marital status among Chinese adolescents.
The sample consisted of 2356 adolescents who completed the Internet Addiction Test twice over a four-month period. Four symptom networks and two cross-lagged panel networks were performed.
The results showed that adolescents from divorced families had a higher prevalence of IA (27 %) compared to those from non-divorced families (17 %). The strongest cross-lagged association was found between "spending more time online" and "preferring the excitement online". In the divorced group, "school grades suffering" had the highest influence, while in the non-divorced group, "anticipation" had the highest influence.
This study highlights the relationship between online learning, IA, and parental divorce and suggests that long-term online learning may contribute to IA, and parental divorce may exacerbate problematic Internet use and increase IA levels.
先前的研究已经确定了在线学习与网络成瘾（IA）之间的关联，以及家庭因素在其中的作用。然而，很少有研究将 IA 视为一个多维机制，并通过交叉滞后网络方法探讨在线学习、IA 和父母婚姻状况之间的潜在联系。本研究旨在检验新冠疫情期间中国青少年在线学习、网络成瘾（IA）和父母婚姻状况之间的关系。
该样本由 2356 名青少年组成，他们在四个月的时间内两次完成了网络成瘾测试。进行了四个症状网络和两个交叉滞后面板网络。
结果表明，离异家庭的青少年比非离异家庭的青少年更易出现 IA（27%）。发现“花更多时间上网”和“喜欢网上的刺激”之间存在最强的交叉滞后关联。在离异组中，“学习成绩下降”的影响最大，而在非离异组中，“期待”的影响最大。
本研究强调了在线学习、IA 和父母离婚之间的关系，并表明长期在线学习可能导致 IA，而父母离婚可能会加剧问题性互联网使用并增加 IA 水平。
