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Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands
Previous studies suggest that pregnant women and children are particularly vulnerable to the adverse effects of air pollution. A prospective cohort study in pregnant women and their children enables identification of the specific effects and critical periods. This paper describes the design of air p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372438/ https://www.ncbi.nlm.nih.gov/pubmed/22356901 http://dx.doi.org/10.1186/1476-069X-11-9 |
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author | Van den Hooven, Edith H Pierik, Frank H Van Ratingen, Sjoerd W Zandveld, Peter YJ Meijer, Ernst W Hofman, Albert Miedema, Henk ME Jaddoe, Vincent WV De Kluizenaar, Yvonne |
author_facet | Van den Hooven, Edith H Pierik, Frank H Van Ratingen, Sjoerd W Zandveld, Peter YJ Meijer, Ernst W Hofman, Albert Miedema, Henk ME Jaddoe, Vincent WV De Kluizenaar, Yvonne |
author_sort | Van den Hooven, Edith H |
collection | PubMed |
description | Previous studies suggest that pregnant women and children are particularly vulnerable to the adverse effects of air pollution. A prospective cohort study in pregnant women and their children enables identification of the specific effects and critical periods. This paper describes the design of air pollution exposure assessment for participants of the Generation R Study, a population-based prospective cohort study from early pregnancy onwards in 9778 women in the Netherlands. Individual exposures to PM(10 )and NO(2 )levels at the home address were estimated for mothers and children, using a combination of advanced dispersion modelling and continuous monitoring data, taking into account the spatial and temporal variation in air pollution concentrations. Full residential history was considered. We observed substantial spatial and temporal variation in air pollution exposure levels. The Generation R Study provides unique possibilities to examine effects of short- and long-term air pollution exposure on various maternal and childhood outcomes and to identify potential critical windows of exposure. |
format | Online Article Text |
id | pubmed-3372438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33724382012-06-12 Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands Van den Hooven, Edith H Pierik, Frank H Van Ratingen, Sjoerd W Zandveld, Peter YJ Meijer, Ernst W Hofman, Albert Miedema, Henk ME Jaddoe, Vincent WV De Kluizenaar, Yvonne Environ Health Methodology Previous studies suggest that pregnant women and children are particularly vulnerable to the adverse effects of air pollution. A prospective cohort study in pregnant women and their children enables identification of the specific effects and critical periods. This paper describes the design of air pollution exposure assessment for participants of the Generation R Study, a population-based prospective cohort study from early pregnancy onwards in 9778 women in the Netherlands. Individual exposures to PM(10 )and NO(2 )levels at the home address were estimated for mothers and children, using a combination of advanced dispersion modelling and continuous monitoring data, taking into account the spatial and temporal variation in air pollution concentrations. Full residential history was considered. We observed substantial spatial and temporal variation in air pollution exposure levels. The Generation R Study provides unique possibilities to examine effects of short- and long-term air pollution exposure on various maternal and childhood outcomes and to identify potential critical windows of exposure. BioMed Central 2012-02-22 /pmc/articles/PMC3372438/ /pubmed/22356901 http://dx.doi.org/10.1186/1476-069X-11-9 Text en Copyright ©2012 van den Hooven et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Van den Hooven, Edith H Pierik, Frank H Van Ratingen, Sjoerd W Zandveld, Peter YJ Meijer, Ernst W Hofman, Albert Miedema, Henk ME Jaddoe, Vincent WV De Kluizenaar, Yvonne Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands |
title | Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands |
title_full | Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands |
title_fullStr | Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands |
title_full_unstemmed | Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands |
title_short | Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands |
title_sort | air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the netherlands |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372438/ https://www.ncbi.nlm.nih.gov/pubmed/22356901 http://dx.doi.org/10.1186/1476-069X-11-9 |
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