Evidence map›Paper›PMID 23823697›Full record

ArticleEnvironmental health perspectives2013

Impact of geocoding methods on associations between long-term exposure to urban air pollution and lung function.

Bénédicte Jacquemin, Johanna Lepeule, Anne Boudier, Caroline Arnould, Meriem Benmerad, Claire Chappaz, Joane Ferran, Francine Kauffmann, Xavier Morelli, Isabelle Pin and 6 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  7. Social Susceptibility to Multiple Air Pollutants in Cardiovascular Disease.Research report (Health Effects Institute) · 2021
    Article
  8. Article
  9. Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  10. Error in air pollution exposure model determinants and bias in health estimates.Journal of exposure science & environmental epidemiology · 2019
    Article
  11. Article
  12. Evaluation of geoimputation strategies in a large case study.International journal of health geographics · 2018
    Article
  13. Article
  14. Article
  15. Fine Particulate Matter in Urban Environments: A Trigger of Respiratory Symptoms in Sensitive Children.International journal of environmental research and public health · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

16 authors.

Bénédicte JacqueminInserm (Institut National de la Santé et de la Recherche Médicale), CESP (Centre de recherche en Épidémiologie et Santé des Populations), U1018, Respiratory and Environmental Epidemiology Team, Villejuif, France.
Johanna Lepeule
Anne Boudier
Caroline Arnould
Meriem Benmerad
Claire Chappaz
Joane Ferran
Francine Kauffmann
Xavier Morelli
Isabelle Pin
Christophe Pison
Isabelle Rios
Sofia Temam
Nino Künzli
Rémy Slama
Valérie Siroux

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundErrors in address geocodes may affect estimates of the effects of air pollution on health.

objectiveWe investigated the impact of four geocoding techniques on the association between urban air pollution estimated with a fine-scale (10 m × 10 m) dispersion model and lung function in adults.

methodsWe measured forced expiratory volume in 1 sec (FEV1) and forced vital capacity (FVC) in 354 adult residents of Grenoble, France, who were participants in two well-characterized studies, the Epidemiological Study on the Genetics and Environment on Asthma (EGEA) and the European Community Respiratory Health Survey (ECRHS). Home addresses were geocoded using individual building matching as the reference approach and three spatial interpolation approaches. We used a dispersion model to estimate mean PM10 and nitrogen dioxide concentrations at each participant's address during the 12 months preceding their lung function measurements. Associations between exposures and lung function parameters were adjusted for individual confounders and same-day exposure to air pollutants. The geocoding techniques were compared with regard to geographical distances between coordinates, exposure estimates, and associations between the estimated exposures and health effects.

resultsMedian distances between coordinates estimated using the building matching and the three interpolation techniques were 26.4, 27.9, and 35.6 m. Compared with exposure estimates based on building matching, PM10 concentrations based on the three interpolation techniques tended to be overestimated. When building matching was used to estimate exposures, a one-interquartile range increase in PM10 (3.0 μg/m3) was associated with a 3.72-point decrease in FVC% predicted (95% CI: -0.56, -6.88) and a 3.86-point decrease in FEV1% predicted (95% CI: -0.14, -3.24). The magnitude of associations decreased when other geocoding approaches were used [e.g., for FVC% predicted -2.81 (95% CI: -0.26, -5.35) using NavTEQ, or 2.08 (95% CI -4.63, 0.47, p = 0.11) using Google Maps].

conclusionsOur findings suggest that the choice of geocoding technique may influence estimated health effects when air pollution exposures are estimated using a fine-scale exposure model.

Indexed as

CitiesGeographic MappingAdultAir PollutionEnvironmental ExposureEnvironmental MonitoringForced Expiratory VolumeFranceHumansModels, TheoreticalVital Capacity

Identifiers

PMID23823697
PMCPMC3764075

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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.