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Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic

Translational psychiatry, 2022-03, Vol.12 (1), p.98-98, Article 98 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2158-3188 ;EISSN: 2158-3188 ;DOI: 10.1038/s41398-022-01838-9 ;PMID: 35273161

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  • Title:
    Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic
  • Author: Cai, Hong ; Bai, Wei ; Liu, Huanzhong ; Chen, Xu ; Qi, Han ; Liu, Rui ; Cheung, Teris ; Su, Zhaohui ; Lin, Jingxia ; Tang, Yi-Lang ; Jackson, Todd ; Zhang, Qinge ; Xiang, Yu-Tao
  • Subjects: Adolescent ; Anxiety ; Anxiety - epidemiology ; Anxiety Disorders - epidemiology ; COVID-19 ; Depression - epidemiology ; Emotions ; Humans ; Pandemics ; Teenagers
  • Is Part Of: Translational psychiatry, 2022-03, Vol.12 (1), p.98-98, Article 98
  • Description: Network analysis is an effective approach for examining complex relationships between psychiatric symptoms. This study was designed to examine item-level relationships between depressive and anxiety symptoms using network analysis in an adolescent sample and identified the most central symptoms within the depressive-anxiety symptoms network model. Depressive and anxiety symptoms were assessed using the Patient Health Questionire-9 (PHQ-9) and Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of depressive and anxiety symptoms was characterized using "Strength" and "Bridge Strength" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Finally, a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender, school grade and residence. Network analysis revealed that nodes PHQ2 ("Sad mood"), GAD6 ("Irritability"), GAD3 ("Worry too much"), and PHQ6 ("Guilty") were central symptoms in the network model of adolescents. Additionally, bridge symptoms linking anxiety and depressive symptoms in this sample were nodes PHQ6 ("Guilty"), PHQ2 ("Sad mood"), and PHQ9 ("Suicide ideation"). Gender, school grade and residence did not significantly affect the network structure. Central symptoms (e.g., Sad mood, Irritability, Worry too much, and Guilty) and key bridge symptoms (e.g., Guilty, Sad mood, and Suicide ideation) in the depressive and anxiety symptoms network may be useful as potential targets for intervention among adolescents who are at risk for or suffer from depressive and anxiety symptoms.
  • Publisher: United States: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 2158-3188
    EISSN: 2158-3188
    DOI: 10.1038/s41398-022-01838-9
    PMID: 35273161
  • Source: Nature Open Access
    GFMER Free Medical Journals
    MEDLINE
    PubMed Central
    Coronavirus Research Database
    ProQuest Central
    DOAJ Directory of Open Access Journals
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