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Understanding the unpaid work roles amongst households, during COVID-19
BACKGROUND: Worldwide, the COVID-19 pandemic has had a rapid disruption on work, social activities and family life. Pre-pandemic norms suggested that women spend more time in unpaid work roles and with childcare, while men spend more time in paid work roles. This study aims to understand: 1) the dis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931991/ https://www.ncbi.nlm.nih.gov/pubmed/35316984 http://dx.doi.org/10.1016/j.ahr.2022.100071 |
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author | Furtado, Rochelle Seens, Hoda Ziebart, Christina Fraser, James MacDermid, Joy C |
author_facet | Furtado, Rochelle Seens, Hoda Ziebart, Christina Fraser, James MacDermid, Joy C |
author_sort | Furtado, Rochelle |
collection | PubMed |
description | BACKGROUND: Worldwide, the COVID-19 pandemic has had a rapid disruption on work, social activities and family life. Pre-pandemic norms suggested that women spend more time in unpaid work roles and with childcare, while men spend more time in paid work roles. This study aims to understand: 1) the distribution of unpaid work roles within households, and 2) if there are certain factors that explain the unpaid work roles within a household during the pandemic. METHODS: This study used a cross-sectional survey of people across the globe, during the pandemic. The survey, administered through a virtual platform of Qualtrics, consisted of the following sections: (a) consent, (b) location and job description (c) marital status and household numbers (d) age, sex, and gender (e) unpaid work roles and family responsibilities. Descriptive statistics and percentages were reported for all the data regarding the study variables. A multivariable regression model was used to understand which factors may explain the changes in unpaid work roles recalling before and during the pandemic RESULTS: This survey was completed by 1847 participants. The mean age was 30 years old (standard deviation of 13.3). The majority of participants identified themselves as women (76.0%) and single (62.1%). The multivariable linear regression indicated that marital status (single, common-law, married, divorced), higher number of household members (1-8,12), older age, higher number of dependent children, and gender (female) were positive and significant predictors of baseline changes in unpaid work role scores, explaining 50% of the variance (R(2) = 0.50). DISCUSSION: All households experienced a significant increase in the amount of unpaid work roles during the pandemic. However, older women who were in a relationship and experienced additional household members such as dependent children or sick older adults, were faced with more changes in unpaid work roles during COVID-19, than other individuals. |
format | Online Article Text |
id | pubmed-8931991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89319912022-03-18 Understanding the unpaid work roles amongst households, during COVID-19 Furtado, Rochelle Seens, Hoda Ziebart, Christina Fraser, James MacDermid, Joy C Aging Health Res Article BACKGROUND: Worldwide, the COVID-19 pandemic has had a rapid disruption on work, social activities and family life. Pre-pandemic norms suggested that women spend more time in unpaid work roles and with childcare, while men spend more time in paid work roles. This study aims to understand: 1) the distribution of unpaid work roles within households, and 2) if there are certain factors that explain the unpaid work roles within a household during the pandemic. METHODS: This study used a cross-sectional survey of people across the globe, during the pandemic. The survey, administered through a virtual platform of Qualtrics, consisted of the following sections: (a) consent, (b) location and job description (c) marital status and household numbers (d) age, sex, and gender (e) unpaid work roles and family responsibilities. Descriptive statistics and percentages were reported for all the data regarding the study variables. A multivariable regression model was used to understand which factors may explain the changes in unpaid work roles recalling before and during the pandemic RESULTS: This survey was completed by 1847 participants. The mean age was 30 years old (standard deviation of 13.3). The majority of participants identified themselves as women (76.0%) and single (62.1%). The multivariable linear regression indicated that marital status (single, common-law, married, divorced), higher number of household members (1-8,12), older age, higher number of dependent children, and gender (female) were positive and significant predictors of baseline changes in unpaid work role scores, explaining 50% of the variance (R(2) = 0.50). DISCUSSION: All households experienced a significant increase in the amount of unpaid work roles during the pandemic. However, older women who were in a relationship and experienced additional household members such as dependent children or sick older adults, were faced with more changes in unpaid work roles during COVID-19, than other individuals. The Authors. Published by Elsevier B.V. 2022-06 2022-03-18 /pmc/articles/PMC8931991/ /pubmed/35316984 http://dx.doi.org/10.1016/j.ahr.2022.100071 Text en © 2022 The Authors. Published by Elsevier B.V. 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 Furtado, Rochelle Seens, Hoda Ziebart, Christina Fraser, James MacDermid, Joy C Understanding the unpaid work roles amongst households, during COVID-19 |
title | Understanding the unpaid work roles amongst households, during COVID-19 |
title_full | Understanding the unpaid work roles amongst households, during COVID-19 |
title_fullStr | Understanding the unpaid work roles amongst households, during COVID-19 |
title_full_unstemmed | Understanding the unpaid work roles amongst households, during COVID-19 |
title_short | Understanding the unpaid work roles amongst households, during COVID-19 |
title_sort | understanding the unpaid work roles amongst households, during covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931991/ https://www.ncbi.nlm.nih.gov/pubmed/35316984 http://dx.doi.org/10.1016/j.ahr.2022.100071 |
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