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Mental health risk factors during the first wave of the COVID-19 pandemic

BACKGROUND: During the first wave of the COVID-19 pandemic, distancing measures were enforced to reduce virus spread, which likely had an impact on the overall mental health of the population. AIMS: To investigate the prevalence of mental health outcomes (depression, anxiety and insomnia), and assoc...

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Autores principales: Prata Ribeiro, Henrique, Ponte, André, Raimundo, Miguel, Reis Marques, Tiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564025/
https://www.ncbi.nlm.nih.gov/pubmed/34702426
http://dx.doi.org/10.1192/bjo.2021.1031
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author Prata Ribeiro, Henrique
Ponte, André
Raimundo, Miguel
Reis Marques, Tiago
author_facet Prata Ribeiro, Henrique
Ponte, André
Raimundo, Miguel
Reis Marques, Tiago
author_sort Prata Ribeiro, Henrique
collection PubMed
description BACKGROUND: During the first wave of the COVID-19 pandemic, distancing measures were enforced to reduce virus spread, which likely had an impact on the overall mental health of the population. AIMS: To investigate the prevalence of mental health outcomes (depression, anxiety and insomnia), and associated risk factors, during a physical distancing period imposed in the first wave of COVID-19. METHOD: During the first month of Portugal's state of emergency, an online survey was created and disseminated through social media channels. Sociodemographic and clinical variables were assessed via self-reported questionnaires. Univariate linear regressions were used to identify associations between the collected variables and mental health outcomes. Multivariate regression analyses were performed to identify independent risk factors for clinical outcomes, with adjustment for potential confounders. RESULTS: We analysed data from 1626 participants: a significant proportion showed depression (30.2%), anxiety (53.1%) and insomnia (36.3%) symptoms. Multivariate regression models showed that being male and working from home were protective for all mental health outcomes analysed, whereas the perception of infection, being under psychiatric care and taking medication were risk factors (P < 0.05). Days in isolation and being unemployed were risk factors for depression and insomnia (P < 0.05). Younger age and being a student were risk factors for depression, whereas being a healthcare professional was protective (P < 0.05). Indirect contact with COVID-19 was a risk factor for anxiety (P < 0.05). CONCLUSIONS: COVID-19-related distancing measures were associated with high levels of adverse mental health symptoms. Several risk factors were associated with these symptoms, which highlight the importance of identifying vulnerable groups during physical distancing periods.
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spelling pubmed-85640252021-11-03 Mental health risk factors during the first wave of the COVID-19 pandemic Prata Ribeiro, Henrique Ponte, André Raimundo, Miguel Reis Marques, Tiago BJPsych Open Papers BACKGROUND: During the first wave of the COVID-19 pandemic, distancing measures were enforced to reduce virus spread, which likely had an impact on the overall mental health of the population. AIMS: To investigate the prevalence of mental health outcomes (depression, anxiety and insomnia), and associated risk factors, during a physical distancing period imposed in the first wave of COVID-19. METHOD: During the first month of Portugal's state of emergency, an online survey was created and disseminated through social media channels. Sociodemographic and clinical variables were assessed via self-reported questionnaires. Univariate linear regressions were used to identify associations between the collected variables and mental health outcomes. Multivariate regression analyses were performed to identify independent risk factors for clinical outcomes, with adjustment for potential confounders. RESULTS: We analysed data from 1626 participants: a significant proportion showed depression (30.2%), anxiety (53.1%) and insomnia (36.3%) symptoms. Multivariate regression models showed that being male and working from home were protective for all mental health outcomes analysed, whereas the perception of infection, being under psychiatric care and taking medication were risk factors (P < 0.05). Days in isolation and being unemployed were risk factors for depression and insomnia (P < 0.05). Younger age and being a student were risk factors for depression, whereas being a healthcare professional was protective (P < 0.05). Indirect contact with COVID-19 was a risk factor for anxiety (P < 0.05). CONCLUSIONS: COVID-19-related distancing measures were associated with high levels of adverse mental health symptoms. Several risk factors were associated with these symptoms, which highlight the importance of identifying vulnerable groups during physical distancing periods. Cambridge University Press 2021-10-27 /pmc/articles/PMC8564025/ /pubmed/34702426 http://dx.doi.org/10.1192/bjo.2021.1031 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Papers
Prata Ribeiro, Henrique
Ponte, André
Raimundo, Miguel
Reis Marques, Tiago
Mental health risk factors during the first wave of the COVID-19 pandemic
title Mental health risk factors during the first wave of the COVID-19 pandemic
title_full Mental health risk factors during the first wave of the COVID-19 pandemic
title_fullStr Mental health risk factors during the first wave of the COVID-19 pandemic
title_full_unstemmed Mental health risk factors during the first wave of the COVID-19 pandemic
title_short Mental health risk factors during the first wave of the COVID-19 pandemic
title_sort mental health risk factors during the first wave of the covid-19 pandemic
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564025/
https://www.ncbi.nlm.nih.gov/pubmed/34702426
http://dx.doi.org/10.1192/bjo.2021.1031
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