Evidence map›Paper›PMID 39888314›Full record

ArticleDemography2025

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

Jen'nan G Read, Fatima G Fairfax

Abstract read
In one paragraph

Article in Demography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jen'nan G ReadDepartment of Sociology, Duke University, Durham, NC, USA.ORCID 0000-0001-9679-106X
Fatima G FairfaxDepartment of Sociology, Duke University, Durham, NC, USA.ORCID 0009-0001-7232-3832

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
NIA NIH HHS P30 AG034424NICHD NIH HHS P2C HD065563
6 · The paper itself

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.

Indexed as

Emigrants and ImmigrantsEthnicityHealth Status DisparitiesWhite PeopleAdultAgedEuropeFemaleHealth SurveysHumansMaleMiddle AgedMiddle EastSocioeconomic FactorsUnited StatesUSSRFormer Soviet UnionImmigrationMiddle EastNon-Hispanic WhitesU.S. health disparities

Identifiers

PMID39888314
PMCPMC12084087

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.