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Metabolic Dysregulation And Cancer Mortality In A National Cohort Of Blacks And Whites, Tomi Akinyemiju, Justin Xavier Moore, Suzanne Judd, Susan Lakoski, Michael Goodman, Monika M. Safford, Maria Pisu Dec 2017

Metabolic Dysregulation And Cancer Mortality In A National Cohort Of Blacks And Whites, Tomi Akinyemiju, Justin Xavier Moore, Suzanne Judd, Susan Lakoski, Michael Goodman, Monika M. Safford, Maria Pisu

Epidemiology and Environmental Health Faculty Publications

Background: We examined the association between metabolic dysregulation and cancer mortality in a prospective cohort of Black and White adults.

Methods: A total of 25,038 Black and White adults were included in the analysis. Metabolic dysregulation was defined in two ways: 1) using the joint harmonized criteria for metabolic syndrome (MetS) and 2) based on factor analysis of 15 variables characterizing metabolic dysregulation. We estimated hazards ratios (HRs) and 95% confidence intervals (CIs) for the association of MetS and metabolic dysregulation with cancer mortality during follow-up using Cox proportional hazards models.

Results: About 46% of Black and 39% of White …


Availability Of Healthcare Resources And Epithelial Ovarian Cancer Stage Of Diagnosis And Mortality Among Blacks And Whites, Swati Sakhuja, Huifeng Yun, Maria Pisu, Tomi Akinyemiju Aug 2017

Availability Of Healthcare Resources And Epithelial Ovarian Cancer Stage Of Diagnosis And Mortality Among Blacks And Whites, Swati Sakhuja, Huifeng Yun, Maria Pisu, Tomi Akinyemiju

Epidemiology and Environmental Health Faculty Publications

Background: The purpose of this study is to examine whether racial disparities in epithelial ovarian cancer stage at diagnosis and survival may be explained by geographic availability of healthcare resources among Blacks and Whites.

Methods: Data from the Surveillance, Epidemiology and End Results (SEER) database was used to identify White and Black women ages 40 years and above diagnosed with epithelial ovarian cancer between 2000 and 2010. Data on county-level availability of healthcare resources was obtained from the Area Resource File. Multi-level regression models, overall and stratified by race and age, were used to examine the associations of health care …