Evidence map›Paper›PMID 21631953›Full record

ArticleEnvironmental health : a global access science source2011

Use of a total traffic count metric to investigate the impact of roadways on asthma severity: a case-control study.

Angus G Cook, Annemarie J B M deVos, Gavin Pereira, Andrew Jardine, Philip Weinstein

Abstract read
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. Neighborhood-Level Factors Related to Asthma in Children Living in Urban Areas.The Journal of school nursing : the official publication of the National Association of School Nurses · 2017
    Review
  7. Article
  8. Article
  9. Outdoor air pollution and asthma.Lancet (London, England) · 2014
    Review
  10. Article
  11. Article
  12. 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

5 authors.

Angus G CookSchool of Population Health, University of Western Australia, Perth, Australia. angus.cook@uwa.edu.au
Annemarie J B M deVos
Gavin Pereira
Andrew Jardine
Philip Weinstein

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study had two principal objectives: (i) to investigate the relationship between asthma severity and proximity to major roadways in Perth, Western Australia; (ii) to demonstrate a more accurate method of exposure assessment for traffic pollutants using an innovative GIS-based measure that fully integrates all traffic densities around subject residences.

methodsWe conducted a spatial case-control study, in which 'cases' were defined as individuals aged under 19 years of age with more severe asthma (defined here as two or more emergency department contacts with asthma in a defined 5-year period) versus age- and gender-matched 'controls' with less severe asthma (defined here as one emergency department contact for asthma). Traffic exposures were measured using a GIS-based approach to determine the lengths of the roads falling within a buffer area, and then multiplying them by their respective traffic counts.

resultsWe examined the spatial relationship between emergency department contacts for asthma at three different buffer sizes: 50 metres, 100 metres and 150 metres. No effect was noted for the 50 metre buffer (OR = 1.07; 95% CI: 0.91-1.26), but elevated odds ratios were observed with for crude (unadjusted) estimates OR = 1.21 (95% CI: 1.00-1.46) for 100 metre buffers and OR = 1.25 (95% CI: 1.02-1.54) for 150 metre buffers. For adjusted risk estimates, only the 150 metre buffer yielded a statistically significant finding (OR = 1.24; 95% CI:1.00-1.52).

conclusionsOur study revealed a significant 24% increase in the risk of experiencing multiple emergency department contacts for asthma for every log-unit of traffic exposure. This study provides support for the hypothesis that traffic related air pollution increases the frequency of health service contacts for asthma. This study used advanced GIS techniques to establish traffic-weighted buffer zones around the geocoded residential location of subjects to provide an accurate assessment of exposure to traffic emissions, thereby providing a quantification of the ranges over which pollutants may exert a health effect.

Indexed as

Environmental ExposureGeographic Information SystemsAdolescentAir PollutantsAsthmaCase-Control StudiesChildChild, PreschoolEmergency Service, HospitalEnvironmental MonitoringEpidemiological MonitoringFemaleHumansInfantInfant, NewbornMaleAir PollutantsVehicle Emissions

Identifiers

PMID21631953
PMCPMC3127974

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LicenceCC BY
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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.