Niu Xiang, Xie Yu-Xin, Gou Li-Xing, Jing Zheng-Ling, Huang Jian-Jun, Wang Hai-Zhen, Wang Jin-Liang
Faculty of Psychology, Southwest University, Chongqing, 400715, China.
Center for Mental Health Education, Nanchong Health School of Sichuan Province, Nanchong, 637002, China.
Soc Psychiatry Psychiatr Epidemiol. 2025 Jun 5. doi: 10.1007/s00127-025-02940-1.
The comorbidity mechanisms between ADHD symptoms and Internet addiction are not yet clear, and network analysis provides a new perspective for clarifying this research question.
Therefore, this study employed a cross-lagged panel network model to examine how specific symptom levels of ADHD and Internet addiction interact.
A total of 732 Chinese adolescents (55.6% girls, Mage = 13.95 years, SD = 1.55) completed assessments at three time points spaced six months apart.
Between 4.51 and 6.83% of participants showed severe Internet issues, and 8.06-9.97% fell into the ADHD abnormal range across the three time points. The results of the contemporaneous network indicated that the bridge symptom at all three-time points was "Inattention". The results of the temporal network showed: (1) the core symptoms responsible for the comorbidity mostly belong to ADHD symptoms; (2) the comorbidity mechanisms change over time, with the most predictive bridge symptom being "Hyperactivity" in the T1 to T2 network, and changing to "Inattention" in the T2 to T3 network. In addition, "Excessive use" was the most vulnerable symptom.
These findings suggest that hyperactivity in early adolescence and inattention at later stages may serve as temporal risk indicators for Internet addiction, and that interventions targeting these symptoms could be worthy of further investigation.
注意缺陷多动障碍（ADHD）症状与网络成瘾之间的共病机制尚不清楚，网络分析为阐明这一研究问题提供了新的视角。
因此，本研究采用交叉滞后面板网络模型来检验ADHD和网络成瘾的特定症状水平如何相互作用。
共有732名中国青少年（55.6%为女孩，年龄中位数Mage = 13.95岁，标准差SD = 1.55）在三个间隔六个月的时间点完成评估。
在三个时间点中，4.51%至6.83%的参与者表现出严重的网络问题，8.06%至9.97%的参与者属于ADHD异常范围。同期网络结果表明，所有三个时间点的桥梁症状均为“注意力不集中”。时间网络结果显示：（1）导致共病的核心症状大多属于ADHD症状；（2）共病机制随时间变化，在T1至T2网络中最具预测性的桥梁症状为“多动”，在T2至T3网络中变为“注意力不集中”。此外，“过度使用”是最易受影响的症状。
这些发现表明，青春期早期的多动和后期的注意力不集中可能是网络成瘾的时间风险指标，针对这些症状的干预措施值得进一步研究。
