The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
The Color of COVID-19: Structural Racism and the Disproportionate Impact of the Pandemic on Older Black and Latinx Adults
Open accessAbstract
Objectives: The aim of this evidence-based theoretically informed article was to provide an overview of how and why the COVID-19 outbreak is particularly detrimental for the health of older Black and Latinx adults. Methods: We draw upon current events, academic literature, and numerous data sources to illustrate how biopsychosocial factors place older adults at higher risk for COVID-19 relative to younger adults, and how structural racism magnifies these risks for black and Latinx adults across the life course. Results: We identify 3 proximate mechanisms through which structural racism operates as a fundamental cause of racial/ethnic inequalities in COVID-19 burden among older adults: (a) risk of exposure, (b) weathering processes, and (c) health care access and quality. Discussion: While the ongoing COVID-19 pandemic is an unprecedented crisis, the racial/ethnic health inequalities among older adults it has exposed are longstanding and deeply rooted in structural racism within American society. This knowledge presents both challenges and opportunities for researchers and policymakers as they seek to address the needs of older adults. It is imperative that federal, state, and local governments collect and release comprehensive data on the number of confirmed COVID-19 cases and deaths by race/ethnicity and age to better gauge the impact of the outbreak across minority communities. We conclude with a discussion of incremental steps to be taken to lessen the disproportionate burden of COVID-19 among older Black and Latinx adults, as well as the need for transformative actions that address structural racism in order to achieve population health equity.
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An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
American Apartheid: Segregation and the Making of the Underclass.
Fernandez, R. M., Massey, D. S., & Denton, N. A. (1993) · Contemporary Sociology · doi:10.2307/2074502 · Cited by 6,193
First case of 2019 novel coronavirus in the United States
Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030
Fair Allocation of Scarce Medical Resources in the Time of Covid-19
Emanuel, E. J., Persad, G., Upshur, R., Thome, B., Parker, M., Glickman, A., Zhang, C., Boyle, C., Smith, M., & Phillips, J. P. (2020) · New England Journal of Medicine · doi:10.1056/nejmsb2005114 · Cited by 3,137
Rethinking Racism: Toward a Structural Interpretation
Bonilla-Silva, E. (1997) · American Sociological Review · doi:10.2307/2657316 · Cited by 2,760
“Weathering” and Age Patterns of Allostatic Load Scores Among Blacks and Whites in the United States
Geronimus, A. T., Hicken, M., Keene, D., & Bound, J. (2006) · American Journal of Public Health · doi:10.2105/ajph.2004.060749 · Cited by 2,525
Hoffman, K. M., Trawalter, S., Axt, J. R., & Oliver, M. N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516047113 · Cited by 2,486
Racism and health: evidence and needed research
Williams, D. R., Lawrence, J. A., & Davis, B. A. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-043750 · Cited by 2,398
Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S. J., Kirley, P. D., Alden, N. B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e3 · Cited by 2,335
Cited by
Racial and Ethnic Disparities in Mental Health and Mental Health Care During The COVID-19 Pandemic
Thomeer, M. B., Moody, M. D., & Yahirun, J. (2023) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-022-01284-9 · Cited by 348
Chae, D. H., Yip, T., Martz, C. D., Chung, K., Richeson, J. A., Hajat, A., Curtis, D. S., Rogers, L. O., & LaVeist, T. A. (2021) · Public Health Reports® · doi:10.1177/00333549211018675 · Cited by 264
Gorges, R. J., & Konetzka, R. T. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.37431 · Cited by 77
Wang, L., Calzavara, A., Baral, S., Smylie, J., Chan, A. K., Sander, B., Austin, P. C., Kwong, J. C., & Mishra, S. (2023) · Clinical Infectious Diseases · doi:10.1093/cid/ciac850 · Cited by 29
Racial disparities in the SOFA score among patients hospitalized with COVID-19
Tolchin, B., Oladele, C., Galusha, D., Kashyap, N., Showstark, M., Bonito, J., Salazar, M. C., Herbst, J. L., Martino, S., Kim, N., et al. (2021) · PLOS ONE · doi:10.1371/journal.pone.0257608 · Cited by 23
Metadata
- Authors
- Garcia, M. A., Homan, P. A., García, C., & Brown, T. H.
- Venue
- The Journals of Gerontology: Series B
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-08-05
- Volume
- 76
- Issue
- 3
- Pages
- e75-e80
- ISSN
- 1079-5014 (ISSN-L)
- 1758-5368
- OpenAlex
- W3047173156
- Cited by
- 380
- References
- 32
- FWCI
- 92.54
- Type
- journal article
- Language
- en
- Open access
- bronze
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