Occupations and Sickness-Related Absences during the COVID-19 Pandemic
- PMID: 35100514
- PMCID: PMC9013443
- DOI: 10.1177/00221465211053615
Occupations and Sickness-Related Absences during the COVID-19 Pandemic
Abstract
Pandemic frontline occupations consist of disproportionately low socioeconomic status and racial minority workers. Documenting occupational health disparities is therefore crucial for understanding COVID-19-related health inequalities in the United States. This study uses Current Population Survey microdata to estimate occupational differences in sickness-related absences (SAs) from work in March through June 2020 and their contribution to educational, racial-ethnic, and nativity health disparities. We find that there has been an unprecedented rise in SAs concentrated in transportation, food-related, and personal care and service occupations. SA rates were 6 times higher in these occupations than in non-health-care professions. The greatest increases were in occupations that are unsuitable for remote work, require workers to work close to others, pay low wages, and rarely provide health insurance. Workers in these occupations are disproportionately Black, Hispanic, indigenous, and immigrants. Occupation contributes 41% of the total of Black/white differences and 54% of educational differences in SAs.
Keywords: COVID-19; occupation; occupational health; sickness absences; socioeconomic disparities; structural racism.
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References
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- Alonso-Villar Olga, Del Rio Coral, and Gradin Carlos. 2012. “The Extent of Occupational Segregation in the United States: Differences by Race, Ethnicity, and Gender.” Industrial Relations: A Journal of Economy and Society 51(2):179–212. doi:10.1111/j.1468-232X.2012.00674.x. - DOI
-
- Andersen Martin S., Maclean Johanna C., Pesko Michael F., and Simon Kosali I.. 2020. “Effect of a Federal Paid Sick Leave Mandate on Working and Staying at Home: Evidence from Cellular Device Data.” National Bureau of Economic Research, Working Paper Series. doi:10.3386/w27138. - DOI
-
- Atkins Janice L., Masoli Jane A. H., Delgado Joao, Pilling Luke C., Kuo Chia-Ling, Kuchel George A., and Melzer David. 2020. “Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort.” The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. doi:10.1093/gerona/glaa183. - DOI - PMC - PubMed
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