Evidence map›Paper›PMID 27171406›Full record

ArticlePloS one2016

Race, Neighborhood Economic Status, Income Inequality and Mortality.

Nicolle A Mode, Michele K Evans, Alan B Zonderman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
8.4field-weighted citation impact, top 3% of its field
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

57 citing papers in PubMed, 95 citations in OpenAlex.

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  8. Social Vulnerability and Disparities in All-Cause Mortality in the United States.Journal of racial and ethnic health disparities · 2025
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  9. Do institutions matter for citizens' health status? Empirical evidence from Italy.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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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

3 authors at 1 institution in 1 country.

Nicolle A ModeNational Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland, United States of America.
Michele K EvansNational Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland, United States of America.
Alan B ZondermanNational Institute on Aging, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland, United States of America.
National Institutes of Health · US

Funding

Healthy Aging In Neighborhoods of Diversity Across the Life Span (HANDLS)ZIAAG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$70.9M
Behavioral epidemiology of healthy agingZIAAG000199 · NIA · NATIONAL INSTITUTE ON AGING · PI ZONDERMAN, ALAN B · 2013 to 2019
$7.8M
Healthy Aging Neighborhoods of Diversity Across LifespanZ01AG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2001 to 2008
$6.8M
Intramural NIH HHS Z01 AG000513
6 · The paper itself

Abstract

Mortality rates in the United States vary based on race, individual economic status and neighborhood. Correlations among these variables in most urban areas have limited what conclusions can be drawn from existing research. Our study employs a unique factorial design of race, sex, age and individual poverty status, measuring time to death as an objective measure of health, and including both neighborhood economic status and income inequality for a sample of middle-aged urban-dwelling adults (N = 3675). At enrollment, African American and White participants lived in 46 unique census tracts in Baltimore, Maryland, which varied in neighborhood economic status and degree of income inequality. A Cox regression model for 9-year mortality identified a three-way interaction among sex, race and individual poverty status (p = 0.03), with African American men living below poverty having the highest mortality. Neighborhood economic status, whether measured by a composite index or simply median household income, was negatively associated with overall mortality (p<0.001). Neighborhood income inequality was associated with mortality through an interaction with individual poverty status (p = 0.04). While racial and economic disparities in mortality are well known, this study suggests that several social conditions associated with health may unequally affect African American men in poverty in the United States. Beyond these individual factors are the influences of neighborhood economic status and income inequality, which may be affected by a history of residential segregation. The significant association of neighborhood economic status and income inequality with mortality beyond the synergistic combination of sex, race and individual poverty status suggests the long-term importance of small area influence on overall mortality.

Indexed as

Socioeconomic FactorsAdultAgingBaltimoreConfidence IntervalsFemaleHealthHumansIncomeMaleMiddle AgedMortalityMultivariate AnalysisProportional Hazards ModelsRacial GroupsResidence Characteristics

Identifiers

PMID27171406
PMCPMC4865101
OpenAlexW2355763203

What OpenQuestion holds

Textmetadata
LicenceCC0
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 OpenQuestion graph.