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...
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2012-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1100/2012/125818 |
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author | Anna Oudin Bertil Forsberg Magnus Strömgren Rob Beelen Lars Modig |
author_facet | Anna Oudin Bertil Forsberg Magnus Strömgren Rob Beelen Lars Modig |
author_sort | Anna Oudin |
collection | DOAJ |
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 NOx 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 NOx 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 | Article |
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institution | Kabale University |
issn | 1537-744X |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-074a078acb324758894243f2ed57e0c82025-02-03T01:31:30ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/125818125818Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE ProjectAnna Oudin0Bertil Forsberg1Magnus Strömgren2Rob Beelen3Lars Modig4Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, SwedenOccupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, SwedenDepartment of Geography and Economic History, Umeå University, 901 87 Umeå, SwedenInstitute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, The NetherlandsOccupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, SwedenExposure 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 NOx 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 NOx 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.http://dx.doi.org/10.1100/2012/125818 |
spellingShingle | Anna Oudin Bertil Forsberg Magnus Strömgren Rob Beelen Lars Modig Impact of Residential Mobility on Exposure Assessment in Longitudinal Air Pollution Studies: A Sensitivity Analysis within the ESCAPE Project The Scientific World Journal |
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 |
url | http://dx.doi.org/10.1100/2012/125818 |
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