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COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic

BACKGROUND: The COVID-19 pandemic has brought drastic changes to the lives of the global population. The restrictions imposed by government agencies impacted the daily lives of citizens, influencing several health behaviors, such as physical activity (PA). Thus, the present study aimed to assess the...

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Autores principales: Moura, Samara Silva, Menezes-Júnior, Luiz Antônio Alves, Rocha, Ana Maria Sampaio, Lourenção, Luciano Garcia, Carraro, Júlia Cristina Cardoso, Machado-Coelho, George Luiz Lins, Meireles, Adriana Lúcia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482310/
https://www.ncbi.nlm.nih.gov/pubmed/36114535
http://dx.doi.org/10.1186/s12889-022-14145-1
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author Moura, Samara Silva
Menezes-Júnior, Luiz Antônio Alves
Rocha, Ana Maria Sampaio
Lourenção, Luciano Garcia
Carraro, Júlia Cristina Cardoso
Machado-Coelho, George Luiz Lins
Meireles, Adriana Lúcia
author_facet Moura, Samara Silva
Menezes-Júnior, Luiz Antônio Alves
Rocha, Ana Maria Sampaio
Lourenção, Luciano Garcia
Carraro, Júlia Cristina Cardoso
Machado-Coelho, George Luiz Lins
Meireles, Adriana Lúcia
author_sort Moura, Samara Silva
collection PubMed
description BACKGROUND: The COVID-19 pandemic has brought drastic changes to the lives of the global population. The restrictions imposed by government agencies impacted the daily lives of citizens, influencing several health behaviors, such as physical activity (PA). Thus, the present study aimed to assess the prevalence of physical inactivity (PI) and its associated factors before and during the COVID-19 pandemic. METHODS: A population-based household seroepidemiological survey was conducted in two Brazilian municipalities located in the state of Minas Gerais, in which 1750 volunteers were interviewed between October and December 2020. Face-to-face interviews were conducted using a structured questionnaire in an electronic format. The moments considered for the PI analysis were M0 (before the pandemic), M1 (from March to July 2020), and M2 (from October to December 2020). Descriptive statistics and univariate and multivariate logistic regression were used to examine the factors associated with PI before (M0) and during the pandemic (M1 and M2). RESULTS: The prevalence of PI was higher in the first months of the pandemic (M1) (67.3%; 95% confidence interval (CI): 62.4–71.9) than in the months from October to December 2020 (M2) (58.7%; 95% CI: 52.8–64.3); however, at both times (M1 and M2), PI was more prevalent than in the period before the pandemic started (M0) (39.7%; 95% CI: 35.6–43.8). Individuals who were overweight, obese, and had low educational levels were more likely to be physically inactive. At both M1 and M2, individuals who worked at a work from home were less likely to have PI. CONCLUSIONS: The results suggest that the COVID-19 pandemic negatively influenced PA, substantially increasing the prevalence of PI. The determinants associated with PI were education, body mass index, and work from home.
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spelling pubmed-94823102022-09-18 COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic Moura, Samara Silva Menezes-Júnior, Luiz Antônio Alves Rocha, Ana Maria Sampaio Lourenção, Luciano Garcia Carraro, Júlia Cristina Cardoso Machado-Coelho, George Luiz Lins Meireles, Adriana Lúcia BMC Public Health Research BACKGROUND: The COVID-19 pandemic has brought drastic changes to the lives of the global population. The restrictions imposed by government agencies impacted the daily lives of citizens, influencing several health behaviors, such as physical activity (PA). Thus, the present study aimed to assess the prevalence of physical inactivity (PI) and its associated factors before and during the COVID-19 pandemic. METHODS: A population-based household seroepidemiological survey was conducted in two Brazilian municipalities located in the state of Minas Gerais, in which 1750 volunteers were interviewed between October and December 2020. Face-to-face interviews were conducted using a structured questionnaire in an electronic format. The moments considered for the PI analysis were M0 (before the pandemic), M1 (from March to July 2020), and M2 (from October to December 2020). Descriptive statistics and univariate and multivariate logistic regression were used to examine the factors associated with PI before (M0) and during the pandemic (M1 and M2). RESULTS: The prevalence of PI was higher in the first months of the pandemic (M1) (67.3%; 95% confidence interval (CI): 62.4–71.9) than in the months from October to December 2020 (M2) (58.7%; 95% CI: 52.8–64.3); however, at both times (M1 and M2), PI was more prevalent than in the period before the pandemic started (M0) (39.7%; 95% CI: 35.6–43.8). Individuals who were overweight, obese, and had low educational levels were more likely to be physically inactive. At both M1 and M2, individuals who worked at a work from home were less likely to have PI. CONCLUSIONS: The results suggest that the COVID-19 pandemic negatively influenced PA, substantially increasing the prevalence of PI. The determinants associated with PI were education, body mass index, and work from home. BioMed Central 2022-09-16 /pmc/articles/PMC9482310/ /pubmed/36114535 http://dx.doi.org/10.1186/s12889-022-14145-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Moura, Samara Silva
Menezes-Júnior, Luiz Antônio Alves
Rocha, Ana Maria Sampaio
Lourenção, Luciano Garcia
Carraro, Júlia Cristina Cardoso
Machado-Coelho, George Luiz Lins
Meireles, Adriana Lúcia
COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic
title COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic
title_full COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic
title_fullStr COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic
title_full_unstemmed COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic
title_short COVID-Inconfidentes: how did COVID-19 and work from home influence the prevalence of leisure-time physical inactivity? An analysis of before and during the pandemic
title_sort covid-inconfidentes: how did covid-19 and work from home influence the prevalence of leisure-time physical inactivity? an analysis of before and during the pandemic
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482310/
https://www.ncbi.nlm.nih.gov/pubmed/36114535
http://dx.doi.org/10.1186/s12889-022-14145-1
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