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Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot

BACKGROUND: Baseline disparities in non-discretionary risk factors, i.e., those not readily altered, like family size and work environment, appear to underlie the disproportionate COVID-19 infection rates seen among Hispanic persons and, at surge onsets, Black persons. No study has systematically co...

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Autores principales: Newton, Erika H., Valenzuela, Rolando G., Cruz-Menoyo, Priscilla M., Feliberti, Kimberly, Shub, Timothy D., Trapini, Cadence Z. M., Espinosa de los Reyes, Santiago, Melian, Christina M., Peralta, Leslie D., Alcalá, Héctor E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524304/
https://www.ncbi.nlm.nih.gov/pubmed/36178630
http://dx.doi.org/10.1007/s40615-022-01416-1
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author Newton, Erika H.
Valenzuela, Rolando G.
Cruz-Menoyo, Priscilla M.
Feliberti, Kimberly
Shub, Timothy D.
Trapini, Cadence Z. M.
Espinosa de los Reyes, Santiago
Melian, Christina M.
Peralta, Leslie D.
Alcalá, Héctor E.
author_facet Newton, Erika H.
Valenzuela, Rolando G.
Cruz-Menoyo, Priscilla M.
Feliberti, Kimberly
Shub, Timothy D.
Trapini, Cadence Z. M.
Espinosa de los Reyes, Santiago
Melian, Christina M.
Peralta, Leslie D.
Alcalá, Héctor E.
author_sort Newton, Erika H.
collection PubMed
description BACKGROUND: Baseline disparities in non-discretionary risk factors, i.e., those not readily altered, like family size and work environment, appear to underlie the disproportionate COVID-19 infection rates seen among Hispanic persons and, at surge onsets, Black persons. No study has systematically compared such risk factors by race/ethnicity among infected individuals. METHODS: Using a cross-sectional survey, we compared household, job, and socioeconomic characteristics among 260 Hispanic, non-Hispanic Black, and non-Hispanic White adults with confirmed or probable COVID-19 in New York from March to May 2020. We used logistic regression to identify independent relationships. RESULTS: In bivariate analysis, we found significant differences by race/ethnicity in the following: (1) rates of household crowding (p < 0.001), which were highest for Hispanic patients (45.1%) and lowest for White patients (0.9%); (2) rates of non-healthcare frontline work (p < 0.001), which were highest for Hispanic patients (71.0% of those employed) and lowest for White patients (31.4%); (3) rates of working close to people (p < 0.001), which were highest for Black patients (69.4%) and lowest for Hispanic patients (32.3%); and (4) rates of frontline healthcare work (p = 0.004), which were higher for Black (44.9%) and White (44.3%) patients than Hispanic patients (19.4%). Adjusting for covariates eliminated most differences but not that for household crowding. CONCLUSIONS: Non-discretionary COVID-19 risk factors among patients in the initial surge differed substantially by race/ethnicity. Socioeconomic factors explained most differences, but household crowding was independently associated with Hispanic ethnicity. Our findings highlight the ongoing need for universal safeguards for US frontline workers, including mandated paid sick leave and expanded affordable housing options. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40615-022-01416-1.
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spelling pubmed-95243042022-10-03 Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot Newton, Erika H. Valenzuela, Rolando G. Cruz-Menoyo, Priscilla M. Feliberti, Kimberly Shub, Timothy D. Trapini, Cadence Z. M. Espinosa de los Reyes, Santiago Melian, Christina M. Peralta, Leslie D. Alcalá, Héctor E. J Racial Ethn Health Disparities Article BACKGROUND: Baseline disparities in non-discretionary risk factors, i.e., those not readily altered, like family size and work environment, appear to underlie the disproportionate COVID-19 infection rates seen among Hispanic persons and, at surge onsets, Black persons. No study has systematically compared such risk factors by race/ethnicity among infected individuals. METHODS: Using a cross-sectional survey, we compared household, job, and socioeconomic characteristics among 260 Hispanic, non-Hispanic Black, and non-Hispanic White adults with confirmed or probable COVID-19 in New York from March to May 2020. We used logistic regression to identify independent relationships. RESULTS: In bivariate analysis, we found significant differences by race/ethnicity in the following: (1) rates of household crowding (p < 0.001), which were highest for Hispanic patients (45.1%) and lowest for White patients (0.9%); (2) rates of non-healthcare frontline work (p < 0.001), which were highest for Hispanic patients (71.0% of those employed) and lowest for White patients (31.4%); (3) rates of working close to people (p < 0.001), which were highest for Black patients (69.4%) and lowest for Hispanic patients (32.3%); and (4) rates of frontline healthcare work (p = 0.004), which were higher for Black (44.9%) and White (44.3%) patients than Hispanic patients (19.4%). Adjusting for covariates eliminated most differences but not that for household crowding. CONCLUSIONS: Non-discretionary COVID-19 risk factors among patients in the initial surge differed substantially by race/ethnicity. Socioeconomic factors explained most differences, but household crowding was independently associated with Hispanic ethnicity. Our findings highlight the ongoing need for universal safeguards for US frontline workers, including mandated paid sick leave and expanded affordable housing options. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40615-022-01416-1. Springer International Publishing 2022-09-30 /pmc/articles/PMC9524304/ /pubmed/36178630 http://dx.doi.org/10.1007/s40615-022-01416-1 Text en © W. Montague Cobb-NMA Health Institute 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Newton, Erika H.
Valenzuela, Rolando G.
Cruz-Menoyo, Priscilla M.
Feliberti, Kimberly
Shub, Timothy D.
Trapini, Cadence Z. M.
Espinosa de los Reyes, Santiago
Melian, Christina M.
Peralta, Leslie D.
Alcalá, Héctor E.
Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot
title Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot
title_full Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot
title_fullStr Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot
title_full_unstemmed Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot
title_short Racial/Ethnic Differences in Non-Discretionary Risk Factors for COVID-19 Among Patients in an Early COVID-19 Hotspot
title_sort racial/ethnic differences in non-discretionary risk factors for covid-19 among patients in an early covid-19 hotspot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524304/
https://www.ncbi.nlm.nih.gov/pubmed/36178630
http://dx.doi.org/10.1007/s40615-022-01416-1
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