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Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities

Background. Breast cancer survival has improved significantly in the US in the past 10–15 years. However, disparities exist in breast cancer survival between black and white women. Purpose. To investigate the effect of county healthcare resources and SES as well as individual SES status on breast ca...

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Autores principales: Akinyemiju, Tomi F., Soliman, Amr S., Johnson, Norman J., Altekruse, Sean F., Welch, Kathy, Banerjee, Mousumi, Schwartz, Kendra, Merajver, Sofia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590635/
https://www.ncbi.nlm.nih.gov/pubmed/23509460
http://dx.doi.org/10.1155/2013/490472
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author Akinyemiju, Tomi F.
Soliman, Amr S.
Johnson, Norman J.
Altekruse, Sean F.
Welch, Kathy
Banerjee, Mousumi
Schwartz, Kendra
Merajver, Sofia
author_facet Akinyemiju, Tomi F.
Soliman, Amr S.
Johnson, Norman J.
Altekruse, Sean F.
Welch, Kathy
Banerjee, Mousumi
Schwartz, Kendra
Merajver, Sofia
author_sort Akinyemiju, Tomi F.
collection PubMed
description Background. Breast cancer survival has improved significantly in the US in the past 10–15 years. However, disparities exist in breast cancer survival between black and white women. Purpose. To investigate the effect of county healthcare resources and SES as well as individual SES status on breast cancer survival disparities between black and white women. Methods. Data from 1,796 breast cancer cases were obtained from the Surveillance Epidemiology and End Results and the National Longitudinal Mortality Study dataset. Cox Proportional Hazards models were constructed accounting for clustering within counties. Three sequential Cox models were fit for each outcome including demographic variables; demographic and clinical variables; and finally demographic, clinical, and county-level variables. Results. In unadjusted analysis, black women had a 53% higher likelihood of dying of breast cancer and 32% higher likelihood of dying of any cause (P < 0.05) compared with white women. Adjusting for demographic variables explained away the effect of race on breast cancer survival (HR, 1.40; 95% CI, 0.99–1.97), but not on all-cause mortality. The racial difference in all-cause survival disappeared only after adjusting for county-level variables (HR, 1.27; CI, 0.95–1.71). Conclusions. Improving equitable access to healthcare for all women in the US may help eliminate survival disparities between racial and socioeconomic groups.
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spelling pubmed-35906352013-03-18 Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities Akinyemiju, Tomi F. Soliman, Amr S. Johnson, Norman J. Altekruse, Sean F. Welch, Kathy Banerjee, Mousumi Schwartz, Kendra Merajver, Sofia J Cancer Epidemiol Research Article Background. Breast cancer survival has improved significantly in the US in the past 10–15 years. However, disparities exist in breast cancer survival between black and white women. Purpose. To investigate the effect of county healthcare resources and SES as well as individual SES status on breast cancer survival disparities between black and white women. Methods. Data from 1,796 breast cancer cases were obtained from the Surveillance Epidemiology and End Results and the National Longitudinal Mortality Study dataset. Cox Proportional Hazards models were constructed accounting for clustering within counties. Three sequential Cox models were fit for each outcome including demographic variables; demographic and clinical variables; and finally demographic, clinical, and county-level variables. Results. In unadjusted analysis, black women had a 53% higher likelihood of dying of breast cancer and 32% higher likelihood of dying of any cause (P < 0.05) compared with white women. Adjusting for demographic variables explained away the effect of race on breast cancer survival (HR, 1.40; 95% CI, 0.99–1.97), but not on all-cause mortality. The racial difference in all-cause survival disappeared only after adjusting for county-level variables (HR, 1.27; CI, 0.95–1.71). Conclusions. Improving equitable access to healthcare for all women in the US may help eliminate survival disparities between racial and socioeconomic groups. Hindawi Publishing Corporation 2013 2013-02-20 /pmc/articles/PMC3590635/ /pubmed/23509460 http://dx.doi.org/10.1155/2013/490472 Text en Copyright © 2013 Tomi F. Akinyemiju et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Akinyemiju, Tomi F.
Soliman, Amr S.
Johnson, Norman J.
Altekruse, Sean F.
Welch, Kathy
Banerjee, Mousumi
Schwartz, Kendra
Merajver, Sofia
Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities
title Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities
title_full Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities
title_fullStr Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities
title_full_unstemmed Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities
title_short Individual and Neighborhood Socioeconomic Status and Healthcare Resources in Relation to Black-White Breast Cancer Survival Disparities
title_sort individual and neighborhood socioeconomic status and healthcare resources in relation to black-white breast cancer survival disparities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590635/
https://www.ncbi.nlm.nih.gov/pubmed/23509460
http://dx.doi.org/10.1155/2013/490472
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