Evidence map›Paper›PMID 21569371›Full record

ArticleEnvironmental health : a global access science source2011

Implications of different approaches for characterizing ambient air pollutant concentrations within the urban airshed for time-series studies and health benefits analyses.

Matthew J Strickland, Lyndsey A Darrow, James A Mulholland, Mitchel Klein, W Dana Flanders, Andrea Winquist, Paige E Tolbert

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Environmental health : a global access science source, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Role of Neighborhood Air Pollution in Disparate Racial and Ethnic Asthma Acute Care Use.American journal of respiratory and critical care medicine · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Ambient air pollution and emergency department visits for asthma in Erie County, New York 2007-2012.International archives of occupational and environmental health · 2018
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Outdoor air pollution and asthma.Lancet (London, England) · 2014
    Review
  13. Article
  14. Transcriptome profiling of the newborn mouse lung response to acute ozone exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2014
    Article
  15. Article
  16. Article
  17. Article
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

7 authors at 2 institutions in 1 country.

Matthew J StricklandDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA. mjstric@emory.edu
Lyndsey A Darrow
James A Mulholland
Mitchel Klein
W Dana Flanders
Andrea Winquist
Paige E Tolbert
Emory University · USGeorgia Institute of Technology · US

Funding

Air Pollution and Birth Defects in Atlanta, 1968-2002 (Supplement)R01ES012967 · NIEHS · EMORY UNIVERSITY · PI TOLBERT, PAIGE E · 2005 to 2009
$1.6M
Relationships between air pollutants and asthma exacerbations in a birth cohortK01ES019877 · NIEHS · EMORY UNIVERSITY · PI STRICKLAND, MATTHEW J. · 2010 to 2014
$639k
NIEHS NIH HHS K01 ES019877NIEHS NIH HHS K01ES019877NIEHS NIH HHS R01ES012967
6 · The paper itself

Abstract

backgroundIn time-series studies of the health effects of urban air pollutants, decisions must be made about how to characterize pollutant levels within the airshed.

methodsEmergency department visits for pediatric asthma exacerbations were collected from Atlanta hospitals. Concentrations of carbon monoxide, nitrogen dioxide, ozone, sulfur dioxide, particulate matter less than 10 microns in diameter (PM10), particulate matter less than 2.5 microns in diameter (PM2.5), and the PM2.5 components elemental carbon, organic carbon, and sulfate were obtained from networks of ambient air quality monitors. For each pollutant we created three different daily metrics. For one metric we used the measurements from a centrally-located monitor; for the second we averaged measurements across the network of monitors; and for the third we estimated the population-weighted average concentration using an isotropic spatial model. Rate ratios for each of the metrics were estimated from time-series models.

resultsFor pollutants with relatively homogeneous spatial distributions we observed only small differences in the rate ratio across the three metrics. Conversely, for spatially heterogeneous pollutants we observed larger differences in the rate ratios. For a given pollutant, the strength of evidence for an association (i.e., chi-square statistics) tended to be similar across metrics.

conclusionsGiven that the chi-square statistics were similar across the metrics, the differences in the rate ratios for the spatially heterogeneous pollutants may seem like a relatively small issue. However, these differences are important for health benefits analyses, where results from epidemiological studies on the health effects of pollutants (per unit change in concentration) are used to predict the health impacts of a reduction in pollutant concentrations. We discuss the relative merits of the different metrics as they pertain to time-series studies and health benefits analyses.

Indexed as

AdolescentAir PollutantsChildChild, PreschoolEmergency Service, HospitalEnvironmental ExposureEnvironmental MonitoringGasesGeorgiaHumansParticulate MatterPoisson DistributionPolicyResearch DesignTime FactorsUrban HealthAir PollutantsGasesParticulate Matter

Identifiers

PMID21569371
PMCPMC3118125
OpenAlexW2099887013

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.