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Racial residential segregation, socioeconomic disparities, and the White-Black survival gap

OBJECTIVE: To evaluate the association between racial residential segregation, a prominent manifestation of systemic racism, and the White-Black survival gap in a contemporary cohort of adults, and to assess the extent to which socioeconomic inequality explains this association. DESIGN: This was a c...

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Autores principales: Popescu, Ioana, Duffy, Erin, Mendelsohn, Joshua, Escarce, José J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5825109/
https://www.ncbi.nlm.nih.gov/pubmed/29474451
http://dx.doi.org/10.1371/journal.pone.0193222
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author Popescu, Ioana
Duffy, Erin
Mendelsohn, Joshua
Escarce, José J.
author_facet Popescu, Ioana
Duffy, Erin
Mendelsohn, Joshua
Escarce, José J.
author_sort Popescu, Ioana
collection PubMed
description OBJECTIVE: To evaluate the association between racial residential segregation, a prominent manifestation of systemic racism, and the White-Black survival gap in a contemporary cohort of adults, and to assess the extent to which socioeconomic inequality explains this association. DESIGN: This was a cross sectional study of White and Black men and women aged 35–75 living in 102 large US Core Based Statistical Areas. The main outcome was the White-Black survival gap. We used 2009–2013 CDC mortality data for Black and White men and women to calculate age-, sex- and race adjusted White and Black mortality rates. We measured segregation using the Dissimilarity index, obtained from the Manhattan Institute. We used the 2009–2013 American Community Survey to define indicators of socioeconomic inequality. We estimated the CBSA-level White–Black gap in probability of survival using sequential linear regression models accounting for the CBSA dissimilarity index and race-specific socioeconomic indicators. RESULTS: Black men and women had a 14% and 9% lower probability of survival from age 35 to 75 than their white counterparts. Residential segregation was strongly associated with the survival gap, and this relationship was partly, but not fully, explained by socioeconomic inequality. At the lowest observed level of segregation, and with the Black socioeconomic status (SES) assumed to be at the White SES level scenario, the survival gap is essentially eliminated. CONCLUSION: White-Black differences in survival remain wide notwithstanding public health efforts to improve life expectancy and initiatives to reduce health disparities. Eliminating racial residential segregation and bringing Black socioeconomic status (SES) to White SES levels would eliminate the White-Black survival gap.
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spelling pubmed-58251092018-03-19 Racial residential segregation, socioeconomic disparities, and the White-Black survival gap Popescu, Ioana Duffy, Erin Mendelsohn, Joshua Escarce, José J. PLoS One Research Article OBJECTIVE: To evaluate the association between racial residential segregation, a prominent manifestation of systemic racism, and the White-Black survival gap in a contemporary cohort of adults, and to assess the extent to which socioeconomic inequality explains this association. DESIGN: This was a cross sectional study of White and Black men and women aged 35–75 living in 102 large US Core Based Statistical Areas. The main outcome was the White-Black survival gap. We used 2009–2013 CDC mortality data for Black and White men and women to calculate age-, sex- and race adjusted White and Black mortality rates. We measured segregation using the Dissimilarity index, obtained from the Manhattan Institute. We used the 2009–2013 American Community Survey to define indicators of socioeconomic inequality. We estimated the CBSA-level White–Black gap in probability of survival using sequential linear regression models accounting for the CBSA dissimilarity index and race-specific socioeconomic indicators. RESULTS: Black men and women had a 14% and 9% lower probability of survival from age 35 to 75 than their white counterparts. Residential segregation was strongly associated with the survival gap, and this relationship was partly, but not fully, explained by socioeconomic inequality. At the lowest observed level of segregation, and with the Black socioeconomic status (SES) assumed to be at the White SES level scenario, the survival gap is essentially eliminated. CONCLUSION: White-Black differences in survival remain wide notwithstanding public health efforts to improve life expectancy and initiatives to reduce health disparities. Eliminating racial residential segregation and bringing Black socioeconomic status (SES) to White SES levels would eliminate the White-Black survival gap. Public Library of Science 2018-02-23 /pmc/articles/PMC5825109/ /pubmed/29474451 http://dx.doi.org/10.1371/journal.pone.0193222 Text en © 2018 Popescu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Popescu, Ioana
Duffy, Erin
Mendelsohn, Joshua
Escarce, José J.
Racial residential segregation, socioeconomic disparities, and the White-Black survival gap
title Racial residential segregation, socioeconomic disparities, and the White-Black survival gap
title_full Racial residential segregation, socioeconomic disparities, and the White-Black survival gap
title_fullStr Racial residential segregation, socioeconomic disparities, and the White-Black survival gap
title_full_unstemmed Racial residential segregation, socioeconomic disparities, and the White-Black survival gap
title_short Racial residential segregation, socioeconomic disparities, and the White-Black survival gap
title_sort racial residential segregation, socioeconomic disparities, and the white-black survival gap
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5825109/
https://www.ncbi.nlm.nih.gov/pubmed/29474451
http://dx.doi.org/10.1371/journal.pone.0193222
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