{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Shariff-Marco S"],"funding":["NICHD NIH HHS","NCCDPHP CDC HHS","California Breast Cancer Research Program","NCI NIH HHS","PHS HHS"],"pagination":["1287-99"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4628564"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["40(6)"],"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."],"journal":["Journal of community health"],"pubmed_title":["Intersection of Race/Ethnicity and Socioeconomic Status in Mortality After Breast Cancer."],"pmcid":["PMC4628564"],"funding_grant_id":["R37CA54281","16ZB-8005","16ZB-8004","U01 CA164973","N01-HD-3-3175","16ZB-8001","16ZB-8003","N01 HD033175","16ZB-8002","HHSN26120100035C","HHSN26120100034C","HHSN261201000140C","K05 CA136967","UM1CA164973","R01 CA054281","R01 CA54281","R01 CA77398","R01 CA063446","U58 DP000807","1U58 DP000807-01","R37 CA054281","R01 CA077398","UM1 CA164973","R01 CA77305"],"pubmed_authors":["Koo J","Yang J","Lu Y","Kwan ML","Keegan TH","Leung R","Shariff-Marco S","Gomez SL","Monroe KR","Vigen CL","Henderson BE","Wu AH","Kurian AW","John EM","Cheng I","Sposto R","Bernstein L"],"additional_accession":[]},"is_claimable":false,"name":"Intersection of Race/Ethnicity and Socioeconomic Status in Mortality After Breast Cancer.","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.","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015 Dec","modification":"2025-04-04T01:29:25.866Z","creation":"2025-04-04T01:29:25.866Z"},"accession":"S-EPMC4628564","cross_references":{"pubmed":["26072260"],"doi":["10.1007/s10900-015-0052-y"]}}