Predictors of breast cancer mortality among white and black women in large United States cities: an ecologic study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Bijou R. Hunt, Abigail Silva, Derrick Lock, Marc Hurlbert

ABSTRACT

PURPOSE: We employed a city-level ecologic analysis to assess predictors of race-specific (black and white) breast cancer mortality rates. METHODS: We used data from the National Center for Health Statistics and the US Census Bureau to calculate 2010-2014 race-specific breast cancer mortality rates (BCMR) for 47 of the largest US cities. Data on potential city-level predictors (e.g., socioeconomic factors, health care resources) of race-specific BCMR were obtained from various publicly available datasets. We constructed race-specific multivariable negative binomial regression models to estimate rate ratios (RR) and 95% confidence intervals (CIs). RESULTS: Predictors of the white BCMR included white/black differences in education (RR 0.95; CI 0.91-0.99), number of religious congregations (RR 0.87; CI 0.77-0.97), and number of Medicare primary care physicians (RR 1.15; CI 1.04-1.28). Predictors of the black rate included white/black differences in household income (RR 1.03; CI 1.01-1.05), number of mammography facilities (RR 1.07; CI 1.03-1.12), and mammogram use (RR 0.93; CI 0.89-0.97). CONCLUSIONS: Our ecologic analysis found that predictors of breast cancer mortality differ for the black and white rate. The results of this analysis could help inform interventions at the local level. More... »

PAGES

149-164

References to SciGraph publications

  • 2008-08. Technological innovation and inequality in health in DEMOGRAPHY
  • 2016-06. Racial disparities in individual breast cancer outcomes by hormone-receptor subtype, area-level socio-economic status and healthcare resources in BREAST CANCER RESEARCH AND TREATMENT
  • 2013-12. Neighborhood socio-economic disadvantage and race/ethnicity as predictors of breast cancer stage at diagnosis in BMC PUBLIC HEALTH
  • 2009-11. A community effort to reduce the black/white breast cancer mortality disparity in Chicago in CANCER CAUSES & CONTROL
  • 2016-08. The impact of patient navigation on the delivery of diagnostic breast cancer care in the National Patient Navigation Research Program: a prospective meta-analysis in BREAST CANCER RESEARCH AND TREATMENT
  • 2015-11. Disparities in breast cancer care and research: report from a Breast Cancer Research Foundation sponsored workshop, 9–10 October 2014 in NPJ BREAST CANCER
  • 2017-10. Racial Disparities in Heart Disease Mortality in the 50 Largest U.S. Cities in JOURNAL OF RACIAL AND ETHNIC HEALTH DISPARITIES
  • 2014-10. Racial Disparities in Diabetes Mortality in the 50 Most Populous US Cities in JOURNAL OF URBAN HEALTH
  • 2015-12. Intersection of Race/Ethnicity and Socioeconomic Status in Mortality After Breast Cancer in JOURNAL OF COMMUNITY HEALTH
  • 2013-12. Mammogram image quality as a potential contributor to disparities in breastcancer stage at diagnosis: an observational study in BMC CANCER
  • 2018-08. Mapping hot spots of breast cancer mortality in the United States: place matters for Blacks and Hispanics in CANCER CAUSES & CONTROL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10552-018-1125-x

    DOI

    http://dx.doi.org/10.1007/s10552-018-1125-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111498236

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30656540


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