Evidence map›Paper›PMID 39466535›Full record

ArticleJournal of racial and ethnic health disparities2026

Connecting Past to Present: Does Historical Redlining Affect Current Life Expectancy?

Charlotte Freifeld, Ava Camarero, Joanne Oh, Alexandra Fairchok, Karen Yang, Michael Siegel

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Living in historically redlined neighborhoods and biological aging among older adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  4. Article
  5. Road Map to Better Depression Care: A Road No Longer Less Traveled.Focus (American Psychiatric Publishing) · 2025
    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

6 authors.

Charlotte FreifeldDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Ava CamareroDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Joanne OhDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Alexandra FairchokDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Karen YangDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA.
Michael SiegelDepartment of Public Health and Community Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA, 02111, USA. Mike.Siegel@tufts.edu.ORCID 0000-0002-2573-9616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious research has documented a strong relationship between currently living in the redlined zones of the 1930s and suffering from a higher prevalence of disease. However, little is known about the relationship between historical redlining, modern-day redlining, and current resident health outcomes. This paper aimed to simultaneously model the associations between both historical redlining and modern-day redlining on current health outcomes.

methodsIn this paper, we used structural equation modeling to uncover relationships between current and historical redlining practices and modern-day life expectancy, exploring two levels of potential mediating factors: (1) racial segregation and structural racism; and (2) mediating health outcomes. We analyzed data from 11,661 census tracts throughout the United States using historical redlining data from 1940, modern redlining data from 2010 to 2017, racial segregation and structural racism indices from 2010 to 2019, health outcome data from 2021 to 2022, and life expectancy data from 2010 to 2015. Historical redlining was measured using Home Owners' Loan Corporation (HOLC) ratings, which ranged from 1.0 for favorable neighborhoods ("greenlined") to 4.0 for unfavorable ("redlined") neighborhoods. Modern-day redlining was measured using Home Mortgage Disclosure Act (HMDA) data, which were transformed into four quartiles, ranging from level 1 (low mortgage rejection rates) to level 4 (high mortgage rejection rates).

resultsWe found a significant relationship between historic redlining and current life expectancy, with average life expectancy decreasing steadily from 80.7 years in HOLC 1 tracts to 75.7 years in HOLC 4 tracts, a differential of 5.0 years between the greenlined and redlined tracts. We also found a significant relationship between modern-day redlining and current life expectancy, with average life expectancy decreasing steadily from 79.9 years in HMDA 1 tracts to 73.5 years in HMDA 4 tracts, a differential of 6.4 years. In the structural equation model, historical redlining had a total effect of decreasing life expectancy by 1.18 years for each increase of one in the HOLC rating. Modern-day redlining had a total effect of decreasing life expectancy by 1.89 years for each increase of one in the HMDA quartile.

conclusionThis paper provides new evidence that the legacy of redlining is not relegated to the history books but rather is a present and pressing public health issue today.

Indexed as

Life ExpectancyRacismAgedFemaleHumansMaleMiddle AgedSocial SegregationUnited StatesHealth outcomesLife expectancyPublic policyRedliningStructural racism

Identifiers

PMID39466535

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.