Hidden Heterogeneity: How the White Racial Category Masks Interethnic Health Inequality.

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2025-01

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Abstract

Inequality research has often used non-Hispanic Whites as the reference category in measuring U.S. racial and ethnic health disparities, with less attention paid to diversity among Whites. Immigration patterns over the last several decades have led to greater ethnic heterogeneity among Whites, which could be hidden by the aggregate category. Using data from the National Health Interview Survey (2000-2018), we disaggregate non-Hispanic Whites by nativity status (U.S.- and foreign-born) and foreign-born region of birth (Europe, Former Soviet Union, and the Middle East) to examine diversity in health among adults aged 30+ (n = 290,361). We find that foreign-born Whites do not have a consistent immigrant health advantage over U.S.-born Whites, and the presence of an advantage further varies by birth region. Immigrants from the Former Soviet Union (FSU) are particularly disadvantaged, reporting worse self-rated health and higher rates of hypertension (high blood pressure) than U.S.-born and European-born Whites. Middle Eastern immigrants also fare worse than U.S.-born Whites but have health outcomes more similar to European immigrants than to immigrants from the FSU. These findings highlight considerable diversity in health among White subgroups that is masked by the aggregate White category. Future research must continue to monitor growing heterogeneity among Whites and consider more carefully their use as an aggregate category for gauging racial inequality.

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Former Soviet Union, Immigration, Middle East, Non-Hispanic Whites, U.S. health disparities, Humans, United States, Female, Adult, Male, White People, Emigrants and Immigrants, Middle Aged, Health Status Disparities, USSR, Europe, Socioeconomic Factors, Aged, Middle East, Health Surveys, Ethnicity, White

Citation

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10.1215/00703370-11790429

Publication Info

Read, Jen'nan G, and Fatima G Fairfax (2025). Hidden Heterogeneity: How the White Racial Category Masks Interethnic Health Inequality. Demography, 62(1). p. 11790429. 10.1215/00703370-11790429 Retrieved from https://hdl.handle.net/10161/32161.

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Scholars@Duke

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Jen'nan Read

Professor of Sociology
Fairfax

Fatima Fairfax

Student

Fatima G. Fairfax is a PhD candidate in sociology at Duke University. Her research focuses on the impact of healthcare technologies on existing health(care) quality and disparities in the U.S. Her work sits at the intersection of medical sociology; science, knowledge, and technology; race, and inequality studies. Her dissertation work explores how technologies used at three different levels (patients, providers, and hospital systems) may impact healthcare outcomes for patients and effects disparities in care. In her other active projects, she explores how future tech developers make sense of bias in computing and technological projects, and how we understand and measure racial disparities in health with more nuanced definitions of racial identity. Her work is supported by the National Academies of Science, Engineering, and Medicine’s (NASEM) Ford Foundation Predoctoral Fellowship.

Prior to her doctoral studies, she worked for New Profit, a venture philanthropy firm, as a manager on the Measurement and Evaluation team. She graduated with a B.A. in Sociology from Harvard University in 2018.


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