Disaggregating Heterogeneity among Non-Hispanic Whites: Evidence and Implications for U.S. Racial/Ethnic Health Disparities.
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2021-02
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Research has made strides in disaggregating health data among racial/ethnic minorities, but less is known about the extent of diversity among Whites. Using logistic regression modeling applied to data on respondents aged 40+ from the 2008 to 2016 American Community Survey, we disaggregated the non-Hispanic White population by ancestry and other racial/ethnic groups (non-Hispanic Black, non-Hispanic Asian, and Hispanic) by common subgroupings and examined heterogeneity in disability. Using logistic regression models predicting six health outcome measures, we compared the spread of coefficients for each of the large racial/ethnic groups and all subgroupings within these large categories. The results revealed that health disparities within the White population are almost as large as disparities within other racial groups. In fact, when Whites were disaggregated by ancestry, mean health appeared to be more varied among Whites than between Whites and members of other racial/ethnic groups in many cases. Compositional changes in the ancestry of Whites, particularly declines in Whites of western European ancestry and increases in Whites of eastern European and Middle Eastern ancestry, contribute to this diversity. Together, these findings challenge the oft-assumed notion that Whites are a homogeneous group and indicate that the aggregate White category obscures substantial intra-ethnic heterogeneity in health.
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Read, Jen'nan Ghazal, Scott M Lynch and Jessica S West (2021). Disaggregating Heterogeneity among Non-Hispanic Whites: Evidence and Implications for U.S. Racial/Ethnic Health Disparities. Population research and policy review, 40(1). pp. 9–31. 10.1007/s11113-020-09632-5 Retrieved from https://hdl.handle.net/10161/28661.
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Scholars@Duke

Jen'nan Read

Scott Michael Lynch

Jessica Sayles West
Jessica is a medical sociologist who specializes in research on hearing loss, aging, and health disparities over the life course. Jessica’s work has described the “spillover” effects of hearing loss on health outcomes for both individuals and those close to them, as well as sociodemographic disparities in the onset of and life expectancy with hearing loss. Her research, which leverages both population-level data and electronic health record data, has appeared in the Journals of Gerontology, Social Science & Medicine, Ear and Hearing, and other leading journals in medical sociology, hearing, and aging research.
Jessica received a B.A. from the University of Michigan in Social Anthropology (dual Sociology/Anthropology concentration) followed by an M.P.H. in Sociomedical Sciences with a certificate in Public Health Research Methods from Columbia University’s Mailman School of Public Health. She subsequently received an M.A. and Ph.D. in Sociology with a focus in Medical Sociology and Demography at Duke University. She then completed an NIA T32 Postdoctoral Fellowship at the Duke University Aging Center under the mentorship of Matthew E. Dupre, Ph.D. (Population Health Sciences) and Sherri L. Smith, Au.D., Ph.D. (Head and Neck Surgery & Communication Sciences).
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