ArticleHealth affairs scholar2026
How segregation, low birth weight, unemployment, and violence link to low life expectancy in Chicago.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.