Evidence map›Paper›PMID 22889745›Full record

ArticleEnvironmental health perspectives2012

Environmental inequality in exposures to airborne particulate matter components in the United States.

Michelle L Bell, Keita Ebisu

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
232citing papers in PubMed, 4 pooled it
45.6field-weighted citation impact, top 1% 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

232 citing papers in PubMed, 4 syntheses or guidelines pooled it, 492 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Maternal and early-life area-level characteristics and childhood adiposity: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
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  10. Differential Reductions in Total and Compositional PMEnvironmental science & technology · 2026
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  19. A case-crossover analysis of short-term PMCommunications medicine · 2025
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172 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

2 authors at 1 institution in 1 country.

Michelle L BellSchool of Forestry and Environmental Studies, Yale University, New Haven, Connecticut 06511, USA. michelle.bell@yale.edu
Keita Ebisu
Yale University · US

Funding

Effects of Fine Particle Composition on Birth OutcomesR01ES019587 · NIEHS · YALE UNIVERSITY · PI BELL, MICHELLE L · 2011 to 2015
$2.6M
Statistical Methods for Complex Enivronmental Health DataR01ES019560 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2015
$1.8M
NIEHS NIH HHS R01 ES019560NIEHS NIH HHS R01-ES019560NIEHS NIH HHS R01 ES019587NIEHS NIH HHS R01-ES019587
6 · The paper itself

Abstract

backgroundGrowing evidence indicates that toxicity of fine particulate matter ≤ 2.5 μm in diameter (PM2.5) differs by chemical component. Exposure to components may differ by population.

objectivesWe investigated whether exposures to PM2.5 components differ by race/ethnicity, age, and socioeconomic status (SES).

methodsLong-term exposures (2000 through 2006) were estimated for 215 U.S. census tracts for PM2.5 and for 14 PM2.5 components. Population-weighted exposures were combined to generate overall estimated exposures by race/ethnicity, education, poverty status, employment, age, and earnings. We compared population characteristics for tracts with and without PM2.5 component monitors.

resultsLarger disparities in estimated exposures were observed for components than for PM2.5 total mass. For race/ethnicity, whites generally had the lowest exposures. Non-Hispanic blacks had higher exposures than did whites for 13 of the 14 components. Hispanics generally had the highest exposures (e.g., 152% higher than whites for chlorine, 94% higher for aluminum). Young persons (0-19 years of age) had levels as high as or higher than other ages for all exposures except sulfate. Persons with lower SES had higher estimated exposures, with some exceptions. For example, a 10% increase in the proportion unemployed was associated with a 20.0% increase in vanadium and an 18.3% increase in elemental carbon. Census tracts with monitors had more non-Hispanic blacks, lower education and earnings, and higher unemployment and poverty than did tracts without monitors.

conclusionsExposures to PM2.5 components differed by race/ethnicity, age, and SES. If some components are more toxic than others, certain populations are likely to suffer higher health burdens. Demographics differed between populations covered and not covered by monitors.

Indexed as

Environmental ExposureParticle SizeAdolescentAdultAge FactorsAir PollutantsChildEnvironmental MonitoringHumansMiddle AgedParticulate MatterRacial GroupsSocioeconomic FactorsUnited StatesYoung AdultAir PollutantsParticulate Matter

Identifiers

PMID22889745
PMCPMC3546368
OpenAlexW2037547355

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.