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Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil
BACKGROUND: After >2 years of the Coronavirus Disease-19 (COVID-19) pandemic, it is well established how sleep symptoms are rising, especially among healthcare workers (HCW). The aim of this study is to evaluate what features are associated with sleep disturbances in the HCW population. METHODS:...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705011/ https://www.ncbi.nlm.nih.gov/pubmed/36455718 http://dx.doi.org/10.1016/j.jad.2022.11.082 |
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author | dos Santos Alves Maria, Gustavo de Oliveira Serpa, Alexandre Luiz de Medeiros Chaves Ferreira, Clarice de Andrade, Vitor Douglas Rodrigues Hansen Ferreira, Alessandra de Souza Costa, Danielle Paim Diaz, Alexandre da Silva, Antônio Geraldo Marques de Miranda, Débora Nicolato, Rodrigo Fernandes Malloy-Diniz, Leandro |
author_facet | dos Santos Alves Maria, Gustavo de Oliveira Serpa, Alexandre Luiz de Medeiros Chaves Ferreira, Clarice de Andrade, Vitor Douglas Rodrigues Hansen Ferreira, Alessandra de Souza Costa, Danielle Paim Diaz, Alexandre da Silva, Antônio Geraldo Marques de Miranda, Débora Nicolato, Rodrigo Fernandes Malloy-Diniz, Leandro |
author_sort | dos Santos Alves Maria, Gustavo |
collection | PubMed |
description | BACKGROUND: After >2 years of the Coronavirus Disease-19 (COVID-19) pandemic, it is well established how sleep symptoms are rising, especially among healthcare workers (HCW). The aim of this study is to evaluate what features are associated with sleep disturbances in the HCW population. METHODS: Cross-sectional and longitudinal analysis of social and clinical variables associated with sleep problems and insomnia incidence in HCW in a large, national-level cohort. The measurement of sleep problems was assessed by self-report using Jenkins Sleep Scale (JSS). A multivariate analysis was used in the cross-sectional design and generalized linear models were used in the longitudinal design. RESULTS: 10,467 HCW were analyzed in the cross-sectional analysis, 3313 participants were analyzed in the three timepoints of the study. Sex, previously diagnosed mental illness and frontline work with COVID-19 were associated with higher scores in JSS in the univariate analysis. In the multivariate analysis, only previous diagnosis of mental illness was related with sleep difficulties, especially previously diagnosed insomnia. The longitudinal analysis concluded that previous diagnosis of mental illnesses was associated with higher levels of insomnia development (OR = 11.62). The self-reported disorders found to be major risk factors were addiction (OR = 7.69), generalized anxiety disorder (OR = 3.67), social anxiety (OR = 2.21) and bipolar disorder (OR = 2.21). LIMITATIONS: Attrition bias. CONCLUSIONS: Previous diagnosis of mental illness was strongly related to insomnia development in HCW during the COVID-19 pandemic. Strategies that focus on this population are advised. |
format | Online Article Text |
id | pubmed-9705011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97050112022-11-29 Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil dos Santos Alves Maria, Gustavo de Oliveira Serpa, Alexandre Luiz de Medeiros Chaves Ferreira, Clarice de Andrade, Vitor Douglas Rodrigues Hansen Ferreira, Alessandra de Souza Costa, Danielle Paim Diaz, Alexandre da Silva, Antônio Geraldo Marques de Miranda, Débora Nicolato, Rodrigo Fernandes Malloy-Diniz, Leandro J Affect Disord Research Paper BACKGROUND: After >2 years of the Coronavirus Disease-19 (COVID-19) pandemic, it is well established how sleep symptoms are rising, especially among healthcare workers (HCW). The aim of this study is to evaluate what features are associated with sleep disturbances in the HCW population. METHODS: Cross-sectional and longitudinal analysis of social and clinical variables associated with sleep problems and insomnia incidence in HCW in a large, national-level cohort. The measurement of sleep problems was assessed by self-report using Jenkins Sleep Scale (JSS). A multivariate analysis was used in the cross-sectional design and generalized linear models were used in the longitudinal design. RESULTS: 10,467 HCW were analyzed in the cross-sectional analysis, 3313 participants were analyzed in the three timepoints of the study. Sex, previously diagnosed mental illness and frontline work with COVID-19 were associated with higher scores in JSS in the univariate analysis. In the multivariate analysis, only previous diagnosis of mental illness was related with sleep difficulties, especially previously diagnosed insomnia. The longitudinal analysis concluded that previous diagnosis of mental illnesses was associated with higher levels of insomnia development (OR = 11.62). The self-reported disorders found to be major risk factors were addiction (OR = 7.69), generalized anxiety disorder (OR = 3.67), social anxiety (OR = 2.21) and bipolar disorder (OR = 2.21). LIMITATIONS: Attrition bias. CONCLUSIONS: Previous diagnosis of mental illness was strongly related to insomnia development in HCW during the COVID-19 pandemic. Strategies that focus on this population are advised. Elsevier B.V. 2023-02-15 2022-11-29 /pmc/articles/PMC9705011/ /pubmed/36455718 http://dx.doi.org/10.1016/j.jad.2022.11.082 Text en © 2022 Elsevier B.V. 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 | Research Paper dos Santos Alves Maria, Gustavo de Oliveira Serpa, Alexandre Luiz de Medeiros Chaves Ferreira, Clarice de Andrade, Vitor Douglas Rodrigues Hansen Ferreira, Alessandra de Souza Costa, Danielle Paim Diaz, Alexandre da Silva, Antônio Geraldo Marques de Miranda, Débora Nicolato, Rodrigo Fernandes Malloy-Diniz, Leandro Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil |
title | Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil |
title_full | Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil |
title_fullStr | Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil |
title_full_unstemmed | Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil |
title_short | Impacts of mental health in the sleep pattern of healthcare professionals during the COVID-19 pandemic in Brazil |
title_sort | impacts of mental health in the sleep pattern of healthcare professionals during the covid-19 pandemic in brazil |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705011/ https://www.ncbi.nlm.nih.gov/pubmed/36455718 http://dx.doi.org/10.1016/j.jad.2022.11.082 |
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