Understanding the unpaid work roles amongst households, during COVID-19

Rochelle Furtado; Hoda Seens; Christina Ziebart; James Fraser; Joy C MacDermid

doi:10.1016/j.ahr.2022.100071

Understanding the unpaid work roles amongst households, during COVID-19

Aging Health Res. 2022 Jun;2(2):100071. doi: 10.1016/j.ahr.2022.100071. Epub 2022 Mar 18.

Authors

Rochelle Furtado^{1

2}, Hoda Seens^{1

3}, Christina Ziebart^{1

2}, James Fraser^{2

4}, Joy C MacDermid^{1

2

5}

Affiliations

¹ Health and Rehabilitation Sciences, Western University, London, ON, Canada.
² School of Physical Therapy, Western University, London, ON, Canada.
³ Windsor University School of Medicine, Cayon, St. Kitts.
⁴ Department of Computer Science, University of Guelph, Guelph, ON, Canada.
⁵ Roth|McFarlane Hand and Upper Limb Centre, St. Joseph's Health Care London, London, ON Canada.

Abstract

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 (R² = 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.