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Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan

Cohort studies have displayed mixed findings on changes in mental symptoms severity in 2020, when the COVID-19 pandemic outbreak started. Network approaches can provide additional insights by analyzing the connectivity of such symptoms. We assessed the network structure of mental symptoms in the Bra...

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Autores principales: Suen, Paulo Jeng Chian, Bacchi, Pedro Starzynski, Razza, Lais, dos Santos, Leonardo Afonso, Fatori, Daniel, Klein, Izio, Passos, Ives Cavalcante, Smoller, Jordan W., Bauermeister, Sarah, Goulart, Alessandra Carvalho, de Souza Santos, Itamar, Bensenor, Isabela Martins, Lotufo, Paulo Andrade, Heeren, Alexandre, Brunoni, Andre Russowsky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653404/
https://www.ncbi.nlm.nih.gov/pubmed/34911001
http://dx.doi.org/10.1016/j.janxdis.2021.102512
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author Suen, Paulo Jeng Chian
Bacchi, Pedro Starzynski
Razza, Lais
dos Santos, Leonardo Afonso
Fatori, Daniel
Klein, Izio
Passos, Ives Cavalcante
Smoller, Jordan W.
Bauermeister, Sarah
Goulart, Alessandra Carvalho
de Souza Santos, Itamar
Bensenor, Isabela Martins
Lotufo, Paulo Andrade
Heeren, Alexandre
Brunoni, Andre Russowsky
author_facet Suen, Paulo Jeng Chian
Bacchi, Pedro Starzynski
Razza, Lais
dos Santos, Leonardo Afonso
Fatori, Daniel
Klein, Izio
Passos, Ives Cavalcante
Smoller, Jordan W.
Bauermeister, Sarah
Goulart, Alessandra Carvalho
de Souza Santos, Itamar
Bensenor, Isabela Martins
Lotufo, Paulo Andrade
Heeren, Alexandre
Brunoni, Andre Russowsky
author_sort Suen, Paulo Jeng Chian
collection PubMed
description Cohort studies have displayed mixed findings on changes in mental symptoms severity in 2020, when the COVID-19 pandemic outbreak started. Network approaches can provide additional insights by analyzing the connectivity of such symptoms. We assessed the network structure of mental symptoms in the Brazilian Longitudinal Study of Health (ELSA-Brasil) in 3 waves: 2008–2010, 2017–2019, and 2020, and hypothesized that the 2020 network would present connectivity changes. We used the Clinical Interview Scheduled-Revised (CIS-R) questionnaire to evaluates the severity of 14 common mental symptoms. Networks were graphed using unregularized Gaussian models and compared using centrality and connectivity measures. The predictive power of centrality measures and individual symptoms were also estimated. Among 2011 participants (mean age: 62.1 years, 58% females), the pandemic symptom 2020 network displayed higher overall connectivity, especially among symptoms that were related to general worries, with increased local connectivity between general worries and worries about health, as well as between anxiety and phobia symptoms. There was no difference between 2008 and 2010 and 2017–2019 networks. According to the network theory of mental disorders, external factors could explain why the network structure became more densely connected in 2020 compared to previous observations. We speculate that the COVID-19 pandemic and its innumerous social, economical, and political consequences were prominent external factors driving such changes; although further assessments are warranted.
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spelling pubmed-86534042021-12-08 Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan Suen, Paulo Jeng Chian Bacchi, Pedro Starzynski Razza, Lais dos Santos, Leonardo Afonso Fatori, Daniel Klein, Izio Passos, Ives Cavalcante Smoller, Jordan W. Bauermeister, Sarah Goulart, Alessandra Carvalho de Souza Santos, Itamar Bensenor, Isabela Martins Lotufo, Paulo Andrade Heeren, Alexandre Brunoni, Andre Russowsky J Anxiety Disord Article Cohort studies have displayed mixed findings on changes in mental symptoms severity in 2020, when the COVID-19 pandemic outbreak started. Network approaches can provide additional insights by analyzing the connectivity of such symptoms. We assessed the network structure of mental symptoms in the Brazilian Longitudinal Study of Health (ELSA-Brasil) in 3 waves: 2008–2010, 2017–2019, and 2020, and hypothesized that the 2020 network would present connectivity changes. We used the Clinical Interview Scheduled-Revised (CIS-R) questionnaire to evaluates the severity of 14 common mental symptoms. Networks were graphed using unregularized Gaussian models and compared using centrality and connectivity measures. The predictive power of centrality measures and individual symptoms were also estimated. Among 2011 participants (mean age: 62.1 years, 58% females), the pandemic symptom 2020 network displayed higher overall connectivity, especially among symptoms that were related to general worries, with increased local connectivity between general worries and worries about health, as well as between anxiety and phobia symptoms. There was no difference between 2008 and 2010 and 2017–2019 networks. According to the network theory of mental disorders, external factors could explain why the network structure became more densely connected in 2020 compared to previous observations. We speculate that the COVID-19 pandemic and its innumerous social, economical, and political consequences were prominent external factors driving such changes; although further assessments are warranted. Elsevier Ltd. 2022-01 2021-12-08 /pmc/articles/PMC8653404/ /pubmed/34911001 http://dx.doi.org/10.1016/j.janxdis.2021.102512 Text en © 2021 Elsevier Ltd. All rights reserved. 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
Suen, Paulo Jeng Chian
Bacchi, Pedro Starzynski
Razza, Lais
dos Santos, Leonardo Afonso
Fatori, Daniel
Klein, Izio
Passos, Ives Cavalcante
Smoller, Jordan W.
Bauermeister, Sarah
Goulart, Alessandra Carvalho
de Souza Santos, Itamar
Bensenor, Isabela Martins
Lotufo, Paulo Andrade
Heeren, Alexandre
Brunoni, Andre Russowsky
Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan
title Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan
title_full Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan
title_fullStr Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan
title_full_unstemmed Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan
title_short Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan
title_sort examining the impact of the covid-19 pandemic through the lens of the network approach to psychopathology: analysis of the brazilian longitudinal study of health (elsa-brasil) cohort over a 12-year timespan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653404/
https://www.ncbi.nlm.nih.gov/pubmed/34911001
http://dx.doi.org/10.1016/j.janxdis.2021.102512
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