A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Outdoor NO2 and benzene exposure in the INMA (Environment and Childhood) Asturias cohort (Spain)
Abstract Air pollution exposure during pregnancy has been linked to a wide range of negative health effects. NO2, a traffic pollution marker, and benzene, an industrial pollution indicator, stand out among the types of air pollution linked to these effects. The aim of this work is to show the methodology used to assign exposure levels for both pollutants and preliminary reports in the INMA (Environment and Childhood) Asturias cohort in Spain. This cohort consists of 494 pregnant women and their children, who have been recruited and followed since 2004. Air pollution levels were measured at 67 points by means of passive samplers. The mean NO2 measured value was 21.2 μg m−3 (range 3.5 μg m−3 to 44.5 μg m−3), and the mean benzene value was 2.72 μg m−3 (range 0.18 μg m−3 to 9.17 μg m−3) at urban sampling points and 0.64 μg m−3 (range 0.04 μg m−3 to 2.62 μg m−3) in rural locations. The Pearson correlation coefficient among pollutants was 0.42. Land Use Regression models were built to predict exposure at the homes of pregnant women. Altitude, road distances and land use were part of the models. The percent of explained variance was 52% for NO2 and 73% for benzene in the urban zones. No residual autocorrelation was found. Predictions were corrected based on the Air Quality Network of the Principality of Asturias taking into account pregnancy seasonality. Exposure indicators were determined for each term and for the entire pregnancy for each woman. Values for urban locations were higher than those for rural and benzene estimations for 5% of the cohort women were above the European Union annual limit value. Air pollution exposure for the INMA-Asturias cohort clearly depends on the place of residence. In particular, benzene concentrations are remarkably high if an individual lives in an urban and industrial area, which is an issue of management intervention and regulatory concern. Exposure assessment for different pollutants will allow us to evaluate potential adverse effects in foetal and infant health caused by air pollution.
Highlights ► We assessed air pollution in a non-metropolitan area of the north of Spain. ► We show the methodology used and preliminary reports in a cohort of pregnant women. ► Air pollution estimates for the cohort clearly depended on the place of residence. ► Benzene levels are remarkably high if they lived in an urban and industrial area. ► Exposure assessment will allow us to evaluate possible negative health effects.
Outdoor NO2 and benzene exposure in the INMA (Environment and Childhood) Asturias cohort (Spain)
Abstract Air pollution exposure during pregnancy has been linked to a wide range of negative health effects. NO2, a traffic pollution marker, and benzene, an industrial pollution indicator, stand out among the types of air pollution linked to these effects. The aim of this work is to show the methodology used to assign exposure levels for both pollutants and preliminary reports in the INMA (Environment and Childhood) Asturias cohort in Spain. This cohort consists of 494 pregnant women and their children, who have been recruited and followed since 2004. Air pollution levels were measured at 67 points by means of passive samplers. The mean NO2 measured value was 21.2 μg m−3 (range 3.5 μg m−3 to 44.5 μg m−3), and the mean benzene value was 2.72 μg m−3 (range 0.18 μg m−3 to 9.17 μg m−3) at urban sampling points and 0.64 μg m−3 (range 0.04 μg m−3 to 2.62 μg m−3) in rural locations. The Pearson correlation coefficient among pollutants was 0.42. Land Use Regression models were built to predict exposure at the homes of pregnant women. Altitude, road distances and land use were part of the models. The percent of explained variance was 52% for NO2 and 73% for benzene in the urban zones. No residual autocorrelation was found. Predictions were corrected based on the Air Quality Network of the Principality of Asturias taking into account pregnancy seasonality. Exposure indicators were determined for each term and for the entire pregnancy for each woman. Values for urban locations were higher than those for rural and benzene estimations for 5% of the cohort women were above the European Union annual limit value. Air pollution exposure for the INMA-Asturias cohort clearly depends on the place of residence. In particular, benzene concentrations are remarkably high if an individual lives in an urban and industrial area, which is an issue of management intervention and regulatory concern. Exposure assessment for different pollutants will allow us to evaluate potential adverse effects in foetal and infant health caused by air pollution.
Highlights ► We assessed air pollution in a non-metropolitan area of the north of Spain. ► We show the methodology used and preliminary reports in a cohort of pregnant women. ► Air pollution estimates for the cohort clearly depended on the place of residence. ► Benzene levels are remarkably high if they lived in an urban and industrial area. ► Exposure assessment will allow us to evaluate possible negative health effects.
Outdoor NO2 and benzene exposure in the INMA (Environment and Childhood) Asturias cohort (Spain)
Fernández-Somoano, Ana (author) / Estarlich, Marisa (author) / Ballester, Ferran (author) / Fernández-Patier, Rosalía (author) / Aguirre-Alfaro, Amelia (author) / Herce-Garraleta, Ma Dolores (author) / Tardón, Adonina (author)
Atmospheric Environment ; 45 ; 5240-5246
2011-02-02
7 pages
Article (Journal)
Electronic Resource
English
Air pollution , Pregnancy , Personal exposure , Nitrogen dioxide , Benzene , NO<inf>2</inf> , INMA , Environmental and Childhood , WHO , World Health Organisation , IARC , International Agency for Research on Cancer , GIS , Geographical Information System , LUR , Land Use Regression , μg/m3 , Micrograms per cubic meter , MDI , Daily Mean Intensity (number of vehicles per day) , EPER , European Pollutant Emission Register , RPD , Relative Percent Differences
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