Department of Preventive Medicine, College of Medicine,The Catholic University of Korea, Seoul,South Korea.
Department of Psychiatry, College of Medicine,The Catholic University of Korea, Seoul,South Korea.
J Behav Addict. 2019 Dec 1;8(4):725-732. doi: 10.1556/2006.8.2019.74.
Previous studies have reported an association between Internet gaming disorder (IGD) and depression, but the directionality of the relationship remains unclear. Therefore, we examined the reciprocal relationship between level of depressive symptoms and IGD among children in a longitudinal study.
Research panels for this study consisted of 366 elementary-school students in the iCURE study. All participants were current Internet users, so they could be considered an at-risk population for IGD. Self-reported severity of IGD features and level of depression were assessed by the Internet Game Use-Elicited Symptom Screen and Children's Depression Inventory, respectively. Follow-up assessment was completed after 12 months. We fitted cross-lagged structural equation models to investigate the association between the two variables at two time points contemporaneously.
The cross-lagged analysis revealed that level of depression at baseline significantly predicted severity of IGD features at the 12-month follow-up (β = 0.15, p = .003). Severity of IGD features at baseline also significantly predicted level of depression at the 12-month follow-up (β = 0.11, p = .018), controlling for possible confounding factors.
The cross-lagged path analysis indicates a reciprocal relationship between severity of IGD features and level of depressive symptoms. Understanding the reciprocal relationship between depressive symptoms and severity of IGD features can assist in interventions to prevent both conditions. These findings provide theoretical support for prevention and remediation plans for IGD and depressive symptoms among children.
先前的研究报告了网络游戏障碍（IGD）与抑郁之间的关联，但两者之间的关系方向仍不清楚。因此，我们在一项纵向研究中检查了儿童抑郁症状严重程度和 IGD 之间的相互关系。
本研究的研究小组由 iCURE 研究中的 366 名小学生组成。所有参与者都是当前的互联网用户，因此他们可以被视为 IGD 的高危人群。IGD 特征的严重程度和抑郁程度分别通过互联网游戏使用诱发症状筛查和儿童抑郁量表来评估。12 个月后完成随访评估。我们拟合了交叉滞后结构方程模型，以同时在两个时间点调查这两个变量之间的关联。
交叉滞后分析表明，基线时的抑郁程度显著预测了 12 个月随访时 IGD 特征的严重程度（β=0.15，p=0.003）。基线时 IGD 特征的严重程度也显著预测了 12 个月随访时的抑郁程度（β=0.11，p=0.018），控制了可能的混杂因素。
交叉滞后路径分析表明，IGD 特征严重程度和抑郁症状严重程度之间存在相互关系。了解抑郁症状和 IGD 特征严重程度之间的相互关系可以帮助预防这两种情况。这些发现为儿童 IGD 和抑郁症状的预防和矫正计划提供了理论支持。
