@article{ref1,
title="Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective",
journal="Translational psychiatry",
year="2023",
author="Cai, Hong and Zhao, Yan-Jie and He, Fan and Li, Shu-Ying and Li, Zong-Lei and Zhang, Wu-Yang and Zhang, Yao and Cheung, Teris and Ng, Chee H. and Sha, Sha and Xiang, Yu-Tao",
volume="13",
number="1",
pages="e186-e186",
abstract="To assess the inter-relationships between residual depressive symptoms (RDS) and Internet addiction (IA) using network analysis among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. RDS and IA were assessed using the Patient Health Questionnaire-9 (PHQ-9) and the Internet Addiction Test (IAT), respectively. Central symptoms and bridge symptoms in the network model were examined. A total of 1,454 adolescents met the study criteria and were included in the analyses. The prevalence of IA was 31.2% (95% CI: 28.8%-33.6%). In the network analysis, the nodes IAT15 (&quot;Preoccupation with the Internet&quot;), PHQ2 (&quot;Sad mood&quot;), and PHQ1 (&quot;Anhedonia&quot;) were the most central symptoms in the IA-RDS network model. Bridge symptoms included IAT10 (&quot;Sooth disturbing about your Internet use&quot;), PHQ9 (&quot;Suicide ideation&quot;), and IAT3 (&quot;Prefer the excitement online to the time with others&quot;). Additionally, PHQ2 (&quot;Sad mood&quot;) was the main node linking &quot;Anhedonia&quot; to other IA clusters. Internet addiction was common among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. Core and bridge symptoms identified in this study could be prioritized as targets for the prevention and treatment of IA in this population.<p /> <p>Language: en</p>",
language="en",
issn="2158-3188",
doi="10.1038/s41398-023-02468-5",
url="http://dx.doi.org/10.1038/s41398-023-02468-5"
}