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Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project
Exposure misclassification in longitudinal studies of air pollution exposure and health effects can occur due to residential mobility in a study population over followup. The aim of this study was to investigate to what extent residential mobility during followup can be expected to cause exposure mi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific World Journal
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515908/ https://www.ncbi.nlm.nih.gov/pubmed/23251098 http://dx.doi.org/10.1100/2012/125818 |
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author | Oudin, Anna Forsberg, Bertil Strömgren, Magnus Beelen, Rob Modig, Lars |
author_facet | Oudin, Anna Forsberg, Bertil Strömgren, Magnus Beelen, Rob Modig, Lars |
author_sort | Oudin, Anna |
collection | PubMed |
description | Exposure misclassification in longitudinal studies of air pollution exposure and health effects can occur due to residential mobility in a study population over followup. The aim of this study was to investigate to what extent residential mobility during followup can be expected to cause exposure misclassification in such studies, where exposure at the baseline address is used as the main exposure assessment. The addresses for each participant in a large population-based study (N > 25,000) were obtained via national registers. We used a Land Use Regression model to estimate the NO(x) concentration for each participant's all addresses during the entire follow-up period (in average 14.6 years) and calculated an average concentration during followup. The Land Use Regression model explained 83% of the variation in measured levels. In summary, the NO(x) concentration at the inclusion address was similar to the average concentration over followup with a correlation coefficient of 0.80, indicating that air pollution concentration at study inclusion address could be used as indicator of average air pollution concentrations over followup. The differences between an individual's inclusion and average follow-up mean concentration were small and seemed to be nondifferential with respect to a large range of factors and disease statuses, implying that bias due to residential mobility was small. |
format | Online Article Text |
id | pubmed-3515908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Scientific World Journal |
record_format | MEDLINE/PubMed |
spelling | pubmed-35159082012-12-18 Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project Oudin, Anna Forsberg, Bertil Strömgren, Magnus Beelen, Rob Modig, Lars ScientificWorldJournal Research Article Exposure misclassification in longitudinal studies of air pollution exposure and health effects can occur due to residential mobility in a study population over followup. The aim of this study was to investigate to what extent residential mobility during followup can be expected to cause exposure misclassification in such studies, where exposure at the baseline address is used as the main exposure assessment. The addresses for each participant in a large population-based study (N > 25,000) were obtained via national registers. We used a Land Use Regression model to estimate the NO(x) concentration for each participant's all addresses during the entire follow-up period (in average 14.6 years) and calculated an average concentration during followup. The Land Use Regression model explained 83% of the variation in measured levels. In summary, the NO(x) concentration at the inclusion address was similar to the average concentration over followup with a correlation coefficient of 0.80, indicating that air pollution concentration at study inclusion address could be used as indicator of average air pollution concentrations over followup. The differences between an individual's inclusion and average follow-up mean concentration were small and seemed to be nondifferential with respect to a large range of factors and disease statuses, implying that bias due to residential mobility was small. The Scientific World Journal 2012-11-28 /pmc/articles/PMC3515908/ /pubmed/23251098 http://dx.doi.org/10.1100/2012/125818 Text en Copyright © 2012 Anna Oudin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Oudin, Anna Forsberg, Bertil Strömgren, Magnus Beelen, Rob Modig, Lars Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project |
title | Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project |
title_full | Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project |
title_fullStr | Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project |
title_full_unstemmed | Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project |
title_short | Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project |
title_sort | impact of residential mobility on exposure assessment in longitudinal air pollution studies: a sensitivity analysis within the escape project |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515908/ https://www.ncbi.nlm.nih.gov/pubmed/23251098 http://dx.doi.org/10.1100/2012/125818 |
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