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The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis

Existing research proposed that moving from a disorder-level analysis to a symptom-level analysis may provide a more fine-grained understanding of psychopathology. This study aimed to explore the relations between two dimensions (i.e., cognitive reappraisal, CR; expressive suppression, ES) of emotio...

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Autores principales: Liang, Shuyi, Liu, Chang, Rotaru, Kristian, Li, Kuiliang, Wei, Xinyi, Yuan, Shangqing, Yang, Qun, Ren, Lei, Liu, Xufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509294/
https://www.ncbi.nlm.nih.gov/pubmed/36191555
http://dx.doi.org/10.1016/j.psychres.2022.114863
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author Liang, Shuyi
Liu, Chang
Rotaru, Kristian
Li, Kuiliang
Wei, Xinyi
Yuan, Shangqing
Yang, Qun
Ren, Lei
Liu, Xufeng
author_facet Liang, Shuyi
Liu, Chang
Rotaru, Kristian
Li, Kuiliang
Wei, Xinyi
Yuan, Shangqing
Yang, Qun
Ren, Lei
Liu, Xufeng
author_sort Liang, Shuyi
collection PubMed
description Existing research proposed that moving from a disorder-level analysis to a symptom-level analysis may provide a more fine-grained understanding of psychopathology. This study aimed to explore the relations between two dimensions (i.e., cognitive reappraisal, CR; expressive suppression, ES) of emotion regulation and individual symptoms of depression and anxiety among medical staff during the late stage of COVID-19 pandemic. We examined depression symptoms, anxiety symptoms and emotion regulation among 420 medical staff during the late stage of COVID-19 pandemic via network analysis. Two networks (i.e. emotion regulation-depression network and emotion regulation-anxiety network) were constructed in the present study. Bridge centrality index was calculated for each variable within the two networks. Among the present sample, the prevalences of depression and anxiety are 39.5% and 26.0%. CR and ES showed distinct connections to symptoms of depression and anxiety. Results of bridge centrality showed that in both networks, CR had a negative bridge expected influence value while ES had a positive bridge expected influence value. The results revealed the specific role of CR and ES in relation to depression and anxiety at a symptom level. Implications for clinical preventions and interventions are discussed.
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spelling pubmed-95092942022-09-26 The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis Liang, Shuyi Liu, Chang Rotaru, Kristian Li, Kuiliang Wei, Xinyi Yuan, Shangqing Yang, Qun Ren, Lei Liu, Xufeng Psychiatry Res Article Existing research proposed that moving from a disorder-level analysis to a symptom-level analysis may provide a more fine-grained understanding of psychopathology. This study aimed to explore the relations between two dimensions (i.e., cognitive reappraisal, CR; expressive suppression, ES) of emotion regulation and individual symptoms of depression and anxiety among medical staff during the late stage of COVID-19 pandemic. We examined depression symptoms, anxiety symptoms and emotion regulation among 420 medical staff during the late stage of COVID-19 pandemic via network analysis. Two networks (i.e. emotion regulation-depression network and emotion regulation-anxiety network) were constructed in the present study. Bridge centrality index was calculated for each variable within the two networks. Among the present sample, the prevalences of depression and anxiety are 39.5% and 26.0%. CR and ES showed distinct connections to symptoms of depression and anxiety. Results of bridge centrality showed that in both networks, CR had a negative bridge expected influence value while ES had a positive bridge expected influence value. The results revealed the specific role of CR and ES in relation to depression and anxiety at a symptom level. Implications for clinical preventions and interventions are discussed. The Authors. Published by Elsevier B.V. 2022-11 2022-09-25 /pmc/articles/PMC9509294/ /pubmed/36191555 http://dx.doi.org/10.1016/j.psychres.2022.114863 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Liang, Shuyi
Liu, Chang
Rotaru, Kristian
Li, Kuiliang
Wei, Xinyi
Yuan, Shangqing
Yang, Qun
Ren, Lei
Liu, Xufeng
The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis
title The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis
title_full The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis
title_fullStr The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis
title_full_unstemmed The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis
title_short The relations between emotion regulation, depression and anxiety among medical staff during the late stage of COVID-19 pandemic: a network analysis
title_sort relations between emotion regulation, depression and anxiety among medical staff during the late stage of covid-19 pandemic: a network analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509294/
https://www.ncbi.nlm.nih.gov/pubmed/36191555
http://dx.doi.org/10.1016/j.psychres.2022.114863
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