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

Jacquemin, Bénédicte and Lepeule, Johanna and Boudier, Anne and Arnould, Caroline and Benmerad, Meriem and Chappaz, Claire and Ferran, Joane and Kauffmann, Francine and Morelli, Xavier and Pin, Isabelle and Pison, Christophe and Rios, Isabelle and Temam, Sofia and Künzli, Nino and Slama, Rémy and Siroux, Valérie. (2013) Impact of geocoding methods on associations between long-term exposure to urban air pollution and lung function. Environmental Health Perspectives, 121 (9). pp. 1054-1060.

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Official URL: http://edoc.unibas.ch/dok/A6174426

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Abstract

Background: Errors in address geocodes may affect estimates of the effects of air pollution on health.Objective: We 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.Methods: We 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.Results: Median 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].Conclusions: Our 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.Citation: Jacquemin B, Lepeule J, Boudier A, Arnould C, Benmerad M, Chappaz C, Ferran J, Kauffmann F, Morelli X, Pin I, Pison C, Rios I, Temam S, Künzli N, Slama R, Siroux V. 2013. Impact of geocoding methods on associations between long-term exposure to urban air pollution and lung function. Environ Health Perspect 121:1054-1060; http://dx.doi.org/10.1289/ehp.1206016.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Air Pollution and Health (Künzli)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Air Pollution and Health (Künzli)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
UniBasel Contributors:Künzli, Nino
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:National Institute of Environmental Health Sciences
ISSN:0091-6765
e-ISSN:1552-9924
Note:Publication type according to Uni Basel Research Database: Journal article -- Reproduced with permission from Environmental Health Perspectives
Language:English
Identification Number:
Last Modified:31 Aug 2017 09:11
Deposited On:27 Mar 2014 13:13

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