Evidence map›Paper›PMID 22252279›Full record

ArticleJournal of exposure science & environmental epidemiology

Predictors of intra-community variation in air quality.

Meredith Franklin, Hita Vora, Edward Avol, Rob McConnell, Fred Lurmann, Feifei Liu, Bryan Penfold, Kiros Berhane, Frank Gilliland, W James Gauderman

Open access · greenAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 51 citations in OpenAlex.

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  20. Inflammatory response of monocytes to ambient particles varies by highway proximity.American journal of respiratory cell and molecular biology · 2014
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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

10 authors at 2 institutions in 1 country.

Meredith FranklinDepartment of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California, USA. meredith.franklin@usc.edu
Hita Vora
Edward Avol
Rob McConnell
Fred Lurmann
Feifei Liu
Bryan Penfold
Kiros Berhane
Frank Gilliland
W James Gauderman
University of Southern California · USSonoma Technology (United States) · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
The EVE Asthma Genetics Consortium: Building Upon GWASRC2HL101651 · NHLBI · UNIVERSITY OF CHICAGO · PI NICOLAE, DAN LIVIU, OBER, CAROLE · 2009 to 2010
$7.4M
A Genome-wide Association Study of Childhood Respiratory OutcomesR01HL087680 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES · 2007 to 2009
$4.1M
HIERARCHICAL MODELING OF INTERACTIONS IN GENOME-WIDE AND PATHWAY-BASED STUDIESR01ES016813 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CONTI, DAVID V · 2009 to 2010
$1.1M
DESIGN AND ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIESU01ES015090 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2006 to 2008
$927k
NHLBI NIH HHS R01 HL087680NHLBI NIH HHS R01HL087680NHLBI NIH HHS RC2 HL101651NHLBI NIH HHS RC2HL101651NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30ES007048NIEHS NIH HHS R01 ES016813NIEHS NIH HHS R01ES016813NIEHS NIH HHS U01 ES015090NIEHS NIH HHS U01ES015090
6 · The paper itself

Abstract

Air quality has emerged as a key determinant of important health outcomes in children and adults. This study aims to identify factors that influence local, within-community air quality, and to build a model for traffic-related air pollution (TRP).We utilized concentrations of NO(2), NO, and total oxides of nitrogen (NO(x)), which were measured at 942 locations in 12 southern California communities. For each location, population density, elevation, land-use, and several indicators of traffic were calculated. A spatial random effects model was used to study the relationship of these predictors to each TRP.Variation in TRP was strongly correlated with traffic on nearby freeways and other major roads, and also with population density and elevation. After accounting for traffic, categories of land-use were not associated with the pollutants. Traffic had a larger relative impact in small urban (low regional pollution) communities than in large urban (high regional pollution) communities. For example, our best fitting model explained 70% of the variation in NO(x) in large urban areas and 76% in small urban areas. Compared with living at least 1,500 m from a freeway, living within 250 m of a freeway was associated with up to a 41% increase in TRP in a large urban area, and up to a 75% increase in small urban areas.Thus, traffic strongly affects local air quality in large and small urban areas, which has implications for exposure assessment and estimation of health risks.

Indexed as

Air PollutantsCaliforniaCitiesEnvironmental ExposureEnvironmental MonitoringGeographic Information SystemsHumansModels, TheoreticalMotor VehiclesNitric OxideNitrogen DioxideNitrogen OxidesPopulation DensityUrban PopulationVehicle EmissionsAir PollutantsNitric OxideNitrogen DioxideNitrogen OxidesVehicle Emissions

Identifiers

PMID22252279
PMCPMC4391642
OpenAlexW1970088419

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.