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Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective

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)...

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Autores principales: Cai, Hong, Zhao, Yan-Jie, He, Fan, Li, Shu-Ying, Li, Zong-Lei, Zhang, Wu-Yang, Zhang, Yao, Cheung, Teris, Ng, Chee H., Sha, Sha, Xiang, Yu-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238780/
https://www.ncbi.nlm.nih.gov/pubmed/37270593
http://dx.doi.org/10.1038/s41398-023-02468-5
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author Cai, Hong
Zhao, Yan-Jie
He, Fan
Li, Shu-Ying
Li, Zong-Lei
Zhang, Wu-Yang
Zhang, Yao
Cheung, Teris
Ng, Chee H.
Sha, Sha
Xiang, Yu-Tao
author_facet Cai, Hong
Zhao, Yan-Jie
He, Fan
Li, Shu-Ying
Li, Zong-Lei
Zhang, Wu-Yang
Zhang, Yao
Cheung, Teris
Ng, Chee H.
Sha, Sha
Xiang, Yu-Tao
author_sort Cai, Hong
collection PubMed
description 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 (“Preoccupation with the Internet”), PHQ2 (“Sad mood”), and PHQ1 (“Anhedonia”) were the most central symptoms in the IA-RDS network model. Bridge symptoms included IAT10 (“Sooth disturbing about your Internet use”), PHQ9 (“Suicide ideation”), and IAT3 (“Prefer the excitement online to the time with others”). Additionally, PHQ2 (“Sad mood”) was the main node linking “Anhedonia” 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.
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spelling pubmed-102387802023-06-05 Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective Cai, Hong Zhao, Yan-Jie He, Fan Li, Shu-Ying Li, Zong-Lei Zhang, Wu-Yang Zhang, Yao Cheung, Teris Ng, Chee H. Sha, Sha Xiang, Yu-Tao Transl Psychiatry Article 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 (“Preoccupation with the Internet”), PHQ2 (“Sad mood”), and PHQ1 (“Anhedonia”) were the most central symptoms in the IA-RDS network model. Bridge symptoms included IAT10 (“Sooth disturbing about your Internet use”), PHQ9 (“Suicide ideation”), and IAT3 (“Prefer the excitement online to the time with others”). Additionally, PHQ2 (“Sad mood”) was the main node linking “Anhedonia” 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. Nature Publishing Group UK 2023-06-03 /pmc/articles/PMC10238780/ /pubmed/37270593 http://dx.doi.org/10.1038/s41398-023-02468-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cai, Hong
Zhao, Yan-Jie
He, Fan
Li, Shu-Ying
Li, Zong-Lei
Zhang, Wu-Yang
Zhang, Yao
Cheung, Teris
Ng, Chee H.
Sha, Sha
Xiang, Yu-Tao
Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective
title Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective
title_full Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective
title_fullStr Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective
title_full_unstemmed Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective
title_short Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective
title_sort internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the covid-19 pandemic: a network analysis perspective
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238780/
https://www.ncbi.nlm.nih.gov/pubmed/37270593
http://dx.doi.org/10.1038/s41398-023-02468-5
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