Evidence map›Paper›PMID 26136082›Full record

ArticleJournal of epidemiology and community health2015

Spatial social polarisation: using the Index of Concentration at the Extremes jointly for income and race/ethnicity to analyse risk of hypertension.

Justin M Feldman, Pamela D Waterman, Brent A Coull, Nancy Krieger

Open access · greenAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 151 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Allostatic Load, Neighborhood Disadvantage, and Birth Outcomes.Journal of racial and ethnic health disparities · 2026
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  8. Racialized economic segregation in relation to fecundability in a preconception cohort study.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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  9. Neighborhood built environment and loneliness dynamics among older Chinese immigrants in the United States.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
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  11. Review
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  18. Measuring Spatial Social Polarization in Public Health Research: A Scoping Review of Methods and Applications.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Justin M FeldmanDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Pamela D WatermanDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Brent A CoullDepartment of Environmental Health, Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Nancy KriegerDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Harvard University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN, HERNAN, MIGUEL · 2008 to 2017
$6.8M
NCI NIH HHS CA134294.NCI NIH HHS P01 CA134294NCI NIH HHS R35 CA197449NIEHS NIH HHS ES000002NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

backgroundGrowing spatial social and economic polarisation may be an important societal determinant of health, but only a few studies have used the recently developed Index of Concentration at the Extremes (ICE) to analyse the impact of joint concentrations of privilege and privation on health outcomes. We explore use of the ICE to investigate risk of hypertension in an urban, multiracial/ethnic, and predominantly working-class study population of US adults.

methodsWe generated novel ICE measures at the census tract level that jointly assess extreme concentrations of both income and racial/ethnic composition. We then linked the ICE measures to data from two observational, cross-sectional studies conducted in the Boston metropolitan area (2003-2004; 2008-2010; N=2145).

resultsThe ICE measure for extreme concentrations of white compared with black residents was independently associated with lower odds of hypertension (OR=0.76; 95% CI 0.62 to 0.93), controlling for race/ethnicity, age, gender, smoking, body mass index, household income, education and self-reported exposure to racial discrimination. Even stronger associations were observed for the ICE measures that compared concentrations of high-income white residents versus low-income residents of colour (OR=0.61; 95% CI 0.40 to 0.96) and high-income white versus low-income black residents (OR=0.48; 95% CI 0.29 to 0.81).

conclusionsResults suggest public health studies should explore the joint impact of racial/ethnic and economic spatial polarisation on population health.

Indexed as

Social Determinants of HealthAdultBostonCluster AnalysisCross-Sectional StudiesEducational StatusFemaleHumansHypertensionIncomeMaleMiddle AgedMinority HealthResidence CharacteristicsSocial EnvironmentUrban HealthHYPERTENSIONNeighborhood/placeSOCIAL INEQUALITIESSOCIAL SCIENCE

Identifiers

PMID26136082
PMCPMC4878399
OpenAlexW2180789874

What OpenQuestion holds

Textmetadata
LicenceTDM
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.