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Associations of the COVID-19 pandemic with social well-being indicators in Mexico

BACKGROUND: Public health measures for COVID-19 containment have implied economic and social life disruptions, which have been particularly deleterious in low- and middle-income countries (LMIC) due to high rates of informal employment, overcrowding, and barriers to accessing health services, amongs...

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Autores principales: Vilar-Compte, M., Hernández-F, M., Gaitán-Rossi, P., Pérez, V., Teruel, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123783/
https://www.ncbi.nlm.nih.gov/pubmed/35597958
http://dx.doi.org/10.1186/s12939-022-01658-9
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author Vilar-Compte, M.
Hernández-F, M.
Gaitán-Rossi, P.
Pérez, V.
Teruel, G.
author_facet Vilar-Compte, M.
Hernández-F, M.
Gaitán-Rossi, P.
Pérez, V.
Teruel, G.
author_sort Vilar-Compte, M.
collection PubMed
description BACKGROUND: Public health measures for COVID-19 containment have implied economic and social life disruptions, which have been particularly deleterious in low- and middle-income countries (LMIC) due to high rates of informal employment, overcrowding, and barriers to accessing health services, amongst others social determinants. Mexico, a LMIC, is a country with a high COVID-19 mortality in which there has been a very limited governmental response to help mitigate such COVID-related disruptions. This study analyzes the association of the first wave of the COVID-19 crisis in Mexico with four well-being indicators: income, employment, anxiety, and food security. METHODS: It uses pooled cross-sectional data (n = 5453) of five monthly nationally representative surveys collected between April and August 2020. Probit models are estimated to assess the association of the pandemic with job loss and anxiety; a multinomial logistic regression is estimated for food security, and an ordinary least squares regression assesses the association between the pandemic and changes in household’s income. RESULTS: Females were significantly associated with worse outcomes for the 4 well-being measures with an average reduction of 2.3% in household income compared to pre-COVID-19 levels, an increased probability (6.4 pp) of being in a household that had lost jobs, decreased probability of food security (6.9 pp), and an increased risk of anxiety symptoms (8.5 pp). In addition, those with lower SES and household with children also reported worse outcomes for employment, income and food security. The month variable was also statistically significant in these models suggesting that as more months of the pandemic elapsed the effects persisted. CONCLUSION: The currents study documents how the COVID-19 pandemic is associated with different well-being indicators in a LMIC. It suggests the urgent need to take actions to support vulnerable groups, particularly women, households with children and those in the lowest SES. If policy actions are not taken, the pandemic will increase social and gender disparities, and will jeopardize childhood development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-022-01658-9.
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spelling pubmed-91237832022-05-21 Associations of the COVID-19 pandemic with social well-being indicators in Mexico Vilar-Compte, M. Hernández-F, M. Gaitán-Rossi, P. Pérez, V. Teruel, G. Int J Equity Health Research BACKGROUND: Public health measures for COVID-19 containment have implied economic and social life disruptions, which have been particularly deleterious in low- and middle-income countries (LMIC) due to high rates of informal employment, overcrowding, and barriers to accessing health services, amongst others social determinants. Mexico, a LMIC, is a country with a high COVID-19 mortality in which there has been a very limited governmental response to help mitigate such COVID-related disruptions. This study analyzes the association of the first wave of the COVID-19 crisis in Mexico with four well-being indicators: income, employment, anxiety, and food security. METHODS: It uses pooled cross-sectional data (n = 5453) of five monthly nationally representative surveys collected between April and August 2020. Probit models are estimated to assess the association of the pandemic with job loss and anxiety; a multinomial logistic regression is estimated for food security, and an ordinary least squares regression assesses the association between the pandemic and changes in household’s income. RESULTS: Females were significantly associated with worse outcomes for the 4 well-being measures with an average reduction of 2.3% in household income compared to pre-COVID-19 levels, an increased probability (6.4 pp) of being in a household that had lost jobs, decreased probability of food security (6.9 pp), and an increased risk of anxiety symptoms (8.5 pp). In addition, those with lower SES and household with children also reported worse outcomes for employment, income and food security. The month variable was also statistically significant in these models suggesting that as more months of the pandemic elapsed the effects persisted. CONCLUSION: The currents study documents how the COVID-19 pandemic is associated with different well-being indicators in a LMIC. It suggests the urgent need to take actions to support vulnerable groups, particularly women, households with children and those in the lowest SES. If policy actions are not taken, the pandemic will increase social and gender disparities, and will jeopardize childhood development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-022-01658-9. BioMed Central 2022-05-21 /pmc/articles/PMC9123783/ /pubmed/35597958 http://dx.doi.org/10.1186/s12939-022-01658-9 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, visithttp://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
Vilar-Compte, M.
Hernández-F, M.
Gaitán-Rossi, P.
Pérez, V.
Teruel, G.
Associations of the COVID-19 pandemic with social well-being indicators in Mexico
title Associations of the COVID-19 pandemic with social well-being indicators in Mexico
title_full Associations of the COVID-19 pandemic with social well-being indicators in Mexico
title_fullStr Associations of the COVID-19 pandemic with social well-being indicators in Mexico
title_full_unstemmed Associations of the COVID-19 pandemic with social well-being indicators in Mexico
title_short Associations of the COVID-19 pandemic with social well-being indicators in Mexico
title_sort associations of the covid-19 pandemic with social well-being indicators in mexico
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123783/
https://www.ncbi.nlm.nih.gov/pubmed/35597958
http://dx.doi.org/10.1186/s12939-022-01658-9
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