Evidence map›Paper›PMID 36220582›Full record

ArticleEpidemiology (Cambridge, Mass.)2022

Heterogeneity in Disparities in Life Expectancy Across US Metropolitan Areas.

Alina S Schnake-Mahl, Pricila H Mullachery, Jonathan Purtle, Ran Li, Ana V Diez Roux, Usama Bilal

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Within-City Average Life Expectancy "Gaps": A Useful Health Equity Metric.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  2. Inpatient mortality following hip fracture in the United States: an updated analysis of over one million cases.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026
    Article
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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.

Alina S Schnake-MahlFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.ORCID 0000-0002-4939-1554
Pricila H MullacheryFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Jonathan PurtleDepartment of Public Health Policy & Management, New York University School of Global Public Health, New York, NY.
Ran LiFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Ana V Diez RouxFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
Usama BilalFrom the Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA.

Funding

The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
Social and policy determinants and impacts on COVID-19 and influenza disparitiesK01AI168579 · NIAID · DREXEL UNIVERSITY · PI Alina Schnake-Mahl · 2022 to 2026
$601k
NIAID NIH HHS K01 AI168579NIH HHS DP5 OD026429
6 · The paper itself

Abstract

backgroundLife expectancy in the United States has declined since 2014 but characterization of disparities within and across metropolitan areas of the country is lacking.

methodsUsing census tract-level life expectancy from the 2010 to 2015 US Small-area Life Expectancy Estimates Project, we calculate 10 measures of total and income-based disparities in life expectancy at birth, age 25, and age 65 within and across 377 metropolitan statistical areas (MSAs) of the United States.

resultsWe found wide heterogeneity in disparities in life expectancy at birth across MSAs and regions: MSAs in the West show the narrowest disparities (absolute disparity: 8.7 years, relative disparity: 1.1), while MSAs in the South (absolute disparity: 9.1 years, relative disparity: 1.1) and Midwest (absolute disparity: 9.8 years, relative disparity: 1.1) have the widest life expectancy disparities. We also observed greater variability in life expectancy across MSAs for lower income census tracts (coefficient of variation [CoV] 3.7 for first vs. tenth decile of income) than for higher income census tracts (CoV 2.3). Finally, we found that a series of MSA-level variables, including larger MSAs and greater proportion college graduates, predicted wider life expectancy disparities for all age groups.

conclusionsSociodemographic and policy factors likely help explain variation in life expectancy disparities within and across metro areas.

Indexed as

COVID-19AdultHumansIncomeInfant, NewbornLife ExpectancyUnited StatesUrban Population

Identifiers

PMID36220582
PMCPMC9574908

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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.