Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96522
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Nursing | - |
dc.contributor | Department of Rehabilitation Sciences | - |
dc.creator | Cai, H | en_US |
dc.creator | Bai, W | en_US |
dc.creator | Liu, H | en_US |
dc.creator | Chen, X | en_US |
dc.creator | Qi, H | en_US |
dc.creator | Liu, R | en_US |
dc.creator | Cheung, T | en_US |
dc.creator | Su, Z | en_US |
dc.creator | Lin, J | en_US |
dc.creator | Tang, YL | en_US |
dc.creator | Jackson, T | en_US |
dc.creator | Zhang, Q | en_US |
dc.creator | Xiang, YT | en_US |
dc.date.accessioned | 2022-12-07T02:55:17Z | - |
dc.date.available | 2022-12-07T02:55:17Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/96522 | - |
dc.language.iso | en | en_US |
dc.publisher | Nature Publishing Group | en_US |
dc.rights | © The Author(s) 2022. | en_US |
dc.rights | 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 directlyfrom the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Cai, H., Bai, W., Liu, H., Chen, X., Qi, H., Liu, R., ... & Xiang, Y. T. (2022). Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic. Translational psychiatry, 12(1), 98 is available at https://doi.org/10.1038/s41398-022-01838-9. | en_US |
dc.title | Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 12 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1038/s41398-022-01838-9 | en_US |
dcterms.abstract | 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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Translational psychiatry, 2022, v. 12, no. 1, 98 | en_US |
dcterms.isPartOf | Translational psychiatry | en_US |
dcterms.issued | 2022 | - |
dc.identifier.scopus | 2-s2.0-85126254695 | - |
dc.identifier.pmid | 35273161 | - |
dc.identifier.eissn | 2158-3188 | en_US |
dc.identifier.artn | 98 | en_US |
dc.description.validate | 202212 bckw | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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s41398-022-01838-9.pdf | 1.46 MB | Adobe PDF | View/Open |
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