Webb, E.J.D. orcid.org/0000-0001-7918-839X, Conaghan, P.G., Henderson, M. et al. (5 more authors) (2024) Long-term health conditions and UK labour market outcomes during the COVID-19 pandemic. PLOS ONE, 19 (5). e0302746. ISSN 1932-6203
Abstract
Background Long-term health conditions can affect labour market outcomes. COVID-19 may have increased labour market inequalities, e.g. due to restricted opportunities for clinically vulnerable people. Evaluating COVID-19’s impact could help target support.
Aim To quantify the effect of several long-term conditions on UK labour market outcomes during the COVID-19 pandemic and compare them to pre-pandemic outcomes.
Methods The Understanding Society COVID-19 survey collected responses from around 20,000 UK residents in nine waves from April 2020-September 2021. Participants employed in January/February 2020 with a variety of long-term conditions were matched with people without the condition but with similar baseline characteristics. Models estimated probability of employment, hours worked and earnings. We compared these results with results from a two-year pre-pandemic period. We also modelled probability of furlough and home-working frequency during COVID-19.
Results Most conditions (asthma, arthritis, emotional/nervous/psychiatric problems, vascular/pulmonary/liver conditions, epilepsy) were associated with reduced employment probability and/or hours worked during COVID-19, but not pre-pandemic. Furlough was more likely for people with pulmonary conditions. People with arthritis and cancer were slower to return to in-person working. Few effects were seen for earnings.
Conclusion COVID-19 had a disproportionate impact on people with long-term conditions’ labour market outcomes.
Metadata
| Item Type: | Article | 
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| Authors/Creators: | 
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| Editors: | 
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| Copyright, Publisher and Additional Information: | © 2024 Webb et al. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. | 
| Dates: | 
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| Institution: | The University of Leeds | 
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) | 
| Depositing User: | Symplectic Publications | 
| Date Deposited: | 13 May 2024 09:22 | 
| Last Modified: | 13 May 2024 09:22 | 
| Status: | Published | 
| Publisher: | Public Library of Science | 
| Identification Number: | 10.1371/journal.pone.0302746 | 
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212426 | 

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