Evidence map›Paper›PMID 42016491›Full record

ArticleHealth affairs scholar2026

How segregation, low birth weight, unemployment, and violence link to low life expectancy in Chicago.

John Rich, Edward Miech, Kate Mackie, Deborah Cragun, Eve Shapiro, Sage Kim, Minyoung Do, Jessica Bishop-Royse, David Ansell, Theodore Corbin

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. 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

10 authors.

John RichRush BMO Institute for Health Equity, Rush University System for Health/Rush Medical College, Chicago, IL 60612, United States.ORCID https://orcid.org/0000-0002-1304-3435
Edward MiechDepartment of Emergency Medicine, Rush University Medical Center/Rush Medical College, Chicago, IL 60612, United States.ORCID https://orcid.org/0000-0002-7187-1570
Kate MackieDepartment of Health Policy & Administration, School of Public Health, University of Illinois Chicago, Chicago, IL 60612, United States.ORCID https://orcid.org/0009-0003-8538-484X
Deborah CragunDepartment of Community Health Services, College of Public Health, University of South Florida, Tampa, FL 33613, United States.ORCID https://orcid.org/0000-0002-3620-2857
Eve ShapiroDepartment of Programs & Evaluation, West Side United, Chicago, IL 60624, United States.ORCID https://orcid.org/0009-0001-6859-3784
Sage KimDepartment of Health Policy & Administration, School of Public Health, University of Illinois  Chicago, Chicago, IL 60612, United States.ORCID https://orcid.org/0000-0001-8939-5157
Minyoung DoDepartment of Programs & Evaluation, West Side United, Chicago, IL 60624, United States.
Jessica Bishop-RoyseRush University College of Nursing, Rush University, Chicago, IL 60612, United States.ORCID https://orcid.org/0000-0002-9198-3115
David AnsellDepartment of Medicine, Rush University System for Health/Rush Medical College, Chicago, IL 60612, United States.ORCID https://orcid.org/0000-0002-2286-6425
Theodore CorbinDepartment of Emergency Medicine, Rush University Medical Center/Rush Medical College, Chicago, IL 60612, United States.ORCID https://orcid.org/0000-0001-5914-7494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Life expectancy gaps between downtown Chicago and communities on the west and south approach 25 years. Multiple social factors relate to this gap, but identifying which are "difference-makers" is challenging. Methods: Using data from the Chicago Health Atlas, we analyzed 34 social factors using a configurational approach to identify the minimum set of factors necessary and sufficient for low life expectancy across Chicago's 77 community areas. Results: We identified 3 factors-high rates of low birth weight, high unemployment, and high non-fatal shootings-that were directly linked to low life expectancy across 3 pathways: (1) high rates of low birth weight AND high unemployment OR (2) high non-fatal shootings AND high rates of low birth weight OR (3) high non-fatal shootings AND high unemployment. We then explored whether high residential segregation was an antecedent to these pathways, and found that it directly linked to high rates of low birth weight, which, when combined with high unemployment and high non-fatal shootings, linked to low life expectancy. Conclusion: Understanding how the interplay of social factors contributes to the complex phenomenon of low life expectancy can help policymakers add precision and nuance to public health efforts to close life expectancy gaps.

Indexed as

anchor missionBirth outcomescoincidence analysisconfigurational comparative methodsgeospatial inequalityhealth equityLife expectancylow birth weightresidential segregationstructural racismunemploymentviolence; Public Health; community intervention

Identifiers

PMID42016491
PMCPMC13093907

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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.