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Is atmospheric pollution exposure during pregnancy associated with individual and contextual characteristics? A nationwide study in France

Authors :
Cécile Zaros
Ludivine Launay
Frédérik Meleux
Marie Cheminat
Rémy Slama
Emmanuel Riviere
Johanna Lepeule
Valérie Siroux
Laure Malherbe
Marion Ouidir
Marie-Aline Charles
Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB)
Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Institut National de l'Environnement Industriel et des Risques (INERIS)
Agence de surveillance de la qualité de l’air (ASPA)
Etude longitudinale française depuis l'enfance (UMS : Ined-Inserm-EFS) (ELFE)
EFS-Institut national d'études démographiques (INED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Source :
Journal of Epidemiology and Community Health, Journal of Epidemiology and Community Health, BMJ Publishing Group, 2017, 71 (10), ⟨10.1136/jech-2016-208674⟩
Publication Year :
2017
Publisher :
BMJ, 2017.

Abstract

BackgroundExposure to atmospheric pollutants is a danger for the health of pregnant mother and children. Our objective was to identify individual (socioeconomic and behavioural) and contextual factors associated with atmospheric pollution pregnancy exposure at the nationwide level.MethodAmong 14 921 women from the French nationwide ELFE (French Longitudinal Study of Children) mother-child cohort recruited in 2011, outdoor exposure levels of PM2.5, PM10 (particulate matter 2 (nitrogen dioxide) were estimated at the pregnancy home address from a dispersion model with 1 km resolution. We used classification and regression trees (CART) and linear regression to characterise the association of atmospheric pollutants with individual (maternal age, body mass index, parity, education level, relationship status, smoking status) and contextual (European Deprivation Index, urbanisation level) factors.ResultsPatterns of associations were globally similar across pollutants. For the CART approach, the highest tertile of exposure included mainly women not in a relationship living in urban and socially deprived areas, with lower education level. Linear regression models identified different determinants of atmospheric pollutants exposure according to the residential urbanisation level. In urban areas, atmospheric pollutants exposure increased with social deprivation, while in rural areas a U-shaped relationship was observed.ConclusionWe highlighted social inequalities in atmospheric pollutants exposure according to contextual characteristics such as urbanisation level and social deprivation and also according to individual characteristics such as education, being in a relationship and smoking status. In French urban areas, pregnant women from the most deprived neighbourhoods were those most exposed to health-threatening atmospheric pollutants.

Details

ISSN :
14702738 and 0143005X
Volume :
71
Database :
OpenAIRE
Journal :
Journal of Epidemiology and Community Health
Accession number :
edsair.doi.dedup.....31e85883e6ccd1ba9706e73b7e589918
Full Text :
https://doi.org/10.1136/jech-2016-208674