<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shariff-Marco S</submitter><funding>NICHD NIH HHS</funding><funding>NCCDPHP CDC HHS</funding><funding>California Breast Cancer Research Program</funding><funding>NCI NIH HHS</funding><funding>PHS HHS</funding><pagination>1287-99</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4628564</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>40(6)</volume><pubmed_abstract>We investigated social disparities in breast cancer (BC) mortality, leveraging data from the California Breast Cancer Survivorship Consortium. The associations of race/ethnicity, education, and neighborhood SES (nSES) with all-cause and BC-specific mortality were assessed among 9372 women with BC (diagnosed 1993-2007 in California with follow-up through 2010) from four racial/ethnic groups [African American, Asian American, Latina, and non-Latina (NL) White] using Cox proportional hazards models. Compared to NL White women with high-education/high-nSES, higher all-cause mortality was observed among NL White women with high-education/low-nSES [hazard ratio (HR) (95 % confidence interval) 1.24 (1.08-1.43)], and African American women with low-nSES, regardless of education [high education HR 1.24 (1.03-1.49); low-education HR 1.19 (0.99-1.44)]. Latina women with low-education/high-nSES had lower all-cause mortality [HR 0.70 (0.54-0.90)] and non-significant lower mortality was observed for Asian American women, regardless of their education and nSES. Similar patterns were seen for BC-specific mortality. Individual- and neighborhood-level measures of SES interact with race/ethnicity to impact mortality after BC diagnosis. Considering the joint impacts of these social factors may offer insights to understanding inequalities by multiple social determinants of health.</pubmed_abstract><journal>Journal of community health</journal><pubmed_title>Intersection of Race/Ethnicity and Socioeconomic Status in Mortality After Breast Cancer.</pubmed_title><pmcid>PMC4628564</pmcid><funding_grant_id>R37CA54281</funding_grant_id><funding_grant_id>16ZB-8005</funding_grant_id><funding_grant_id>16ZB-8004</funding_grant_id><funding_grant_id>U01 CA164973</funding_grant_id><funding_grant_id>N01-HD-3-3175</funding_grant_id><funding_grant_id>16ZB-8001</funding_grant_id><funding_grant_id>16ZB-8003</funding_grant_id><funding_grant_id>N01 HD033175</funding_grant_id><funding_grant_id>16ZB-8002</funding_grant_id><funding_grant_id>HHSN26120100035C</funding_grant_id><funding_grant_id>HHSN26120100034C</funding_grant_id><funding_grant_id>HHSN261201000140C</funding_grant_id><funding_grant_id>K05 CA136967</funding_grant_id><funding_grant_id>UM1CA164973</funding_grant_id><funding_grant_id>R01 CA054281</funding_grant_id><funding_grant_id>R01 CA54281</funding_grant_id><funding_grant_id>R01 CA77398</funding_grant_id><funding_grant_id>R01 CA063446</funding_grant_id><funding_grant_id>U58 DP000807</funding_grant_id><funding_grant_id>1U58 DP000807-01</funding_grant_id><funding_grant_id>R37 CA054281</funding_grant_id><funding_grant_id>R01 CA077398</funding_grant_id><funding_grant_id>UM1 CA164973</funding_grant_id><funding_grant_id>R01 CA77305</funding_grant_id><pubmed_authors>Koo J</pubmed_authors><pubmed_authors>Yang J</pubmed_authors><pubmed_authors>Lu Y</pubmed_authors><pubmed_authors>Kwan ML</pubmed_authors><pubmed_authors>Keegan TH</pubmed_authors><pubmed_authors>Leung R</pubmed_authors><pubmed_authors>Shariff-Marco S</pubmed_authors><pubmed_authors>Gomez SL</pubmed_authors><pubmed_authors>Monroe KR</pubmed_authors><pubmed_authors>Vigen CL</pubmed_authors><pubmed_authors>Henderson BE</pubmed_authors><pubmed_authors>Wu AH</pubmed_authors><pubmed_authors>Kurian AW</pubmed_authors><pubmed_authors>John EM</pubmed_authors><pubmed_authors>Cheng I</pubmed_authors><pubmed_authors>Sposto R</pubmed_authors><pubmed_authors>Bernstein L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Intersection of Race/Ethnicity and Socioeconomic Status in Mortality After Breast Cancer.</name><description>We investigated social disparities in breast cancer (BC) mortality, leveraging data from the California Breast Cancer Survivorship Consortium. The associations of race/ethnicity, education, and neighborhood SES (nSES) with all-cause and BC-specific mortality were assessed among 9372 women with BC (diagnosed 1993-2007 in California with follow-up through 2010) from four racial/ethnic groups [African American, Asian American, Latina, and non-Latina (NL) White] using Cox proportional hazards models. Compared to NL White women with high-education/high-nSES, higher all-cause mortality was observed among NL White women with high-education/low-nSES [hazard ratio (HR) (95 % confidence interval) 1.24 (1.08-1.43)], and African American women with low-nSES, regardless of education [high education HR 1.24 (1.03-1.49); low-education HR 1.19 (0.99-1.44)]. Latina women with low-education/high-nSES had lower all-cause mortality [HR 0.70 (0.54-0.90)] and non-significant lower mortality was observed for Asian American women, regardless of their education and nSES. Similar patterns were seen for BC-specific mortality. Individual- and neighborhood-level measures of SES interact with race/ethnicity to impact mortality after BC diagnosis. Considering the joint impacts of these social factors may offer insights to understanding inequalities by multiple social determinants of health.</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Dec</publication><modification>2025-04-04T01:29:25.866Z</modification><creation>2025-04-04T01:29:25.866Z</creation></dates><accession>S-EPMC4628564</accession><cross_references><pubmed>26072260</pubmed><doi>10.1007/s10900-015-0052-y</doi></cross_references></HashMap>