Evidence map›Paper›PMID 40630604›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Impact of 1940s exposure to redlining on mortality and self-rated health later in life among older adults.

Shuo Jim Huang, Dahai Yue, Kellee White Whilby, Michel Boudreaux, Rozalina G McCoy, Kaitlynn S Robinson-Ector, Neil J Sehgal

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shuo Jim HuangUniversity of Maryland Institute for Health Computing, North Bethesda, MD, USA.ORCID 0000-0002-4474-463X
Dahai YueUniversity of Maryland Institute for Health Computing, North Bethesda, MD, USA.
Kellee White WhilbyDepartment of Health Policy and Management, University of Maryland School of Public Health, College Park, MD USA.
Michel BoudreauxUniversity of Maryland Institute for Health Computing, North Bethesda, MD, USA.
Rozalina G McCoyUniversity of Maryland Institute for Health Computing, North Bethesda, MD, USA.
Kaitlynn S Robinson-EctorUniversity of Maryland Institute for Health Computing, North Bethesda, MD, USA.
Neil J SehgalDepartment of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA, USA.

Funding

Diabetes, Obesity, and Metabolic ComplicationsT32DK098107 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI TAYLOR, SIMEON I. · 2015 to 2025
$2.4M
NIDDK NIH HHS T32 DK098107
6 · The paper itself

Abstract

Background: Historical redlining policies enacted in the 1930s and 1940s that restricted investment in Black neighborhoods shaped neighborhood conditions that may contribute to inequities in health and mortality among older adults today. Areas "redlined" by the Home Owners' Loan Corporation (HOLC) in the 1930s against Black neighborhoods are associated with worse present-day area-level health outcomes. We examined whether early, personal exposure to redlining close to when the maps were drawn is associated with individual-level mortality hazard (survival time ratio) and self-rated health in older adults. Methods: We used mapped 1940 census enumeration districts to assign 1930s HOLC redlining categories (green A ("best"), blue B ("still desirable"), yellow C ("definitely declining"), and red D ("hazardous")) to Health and Retirement Study participants based on 1940 census residence. We applied survey weights and ran a survival analysis with a parametric normal distribution maximum likelihood estimation to account for survivorship bias, and logistic regression on self-rated health, and included analyses stratified by race. Results: 1940 HOLC-categorized yellow C (0.62 times the survival time, 95% CI: 0.41, 0.92) and red D (red: 0.59, 95% CI: 0.40, 0.87) exposures were significantly associated with reduced survival time compared to green A in both unadjusted and adjusted models. In stratified analyses, both Black and white residents of redlined areas had worse survival time ratios compared to green A, though the magnitude of effect was larger for Black residents than for white residents. Yellow C (Odds Ratio: 1.94, 95% CI: 1.16, 3.23) and red D (2.34, 95% CI: 1.37, 3.98) areas were also associated with increased odds of worse self-rated health compared to green A areas. Discussion: Living in redlined areas in the 1940s is associated with worse mortality survival for both Black and white older adults and with decreased self-rated health in older adults between 1992 and 2018. These findings extend beyond broader prior research demonstrating present-day area-level associations of redlining with worse health and are consistent with prior research on individual-level exposure to redlining. Associations with worse mortality in both Black and white residents (with stronger effects in Black residents) are consistent with theory and research demonstrating that structural racism degrades health for all communities.

Identifiers

PMID40630604
PMCPMC12236862

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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.