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Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence

Background: The effect of ambient air pollution on global variations and trends in asthma prevalence is unclear. Objectives: Our goal was to investigate community-level associations between asthma prevalence data from the International Study of Asthma and Allergies in Childhood (ISAAC) and satellite...

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Autores principales: Anderson, H. Ross, Butland, Barbara K., van Donkelaar, Aaron, Brauer, Michael, Strachan, David P., Clayton, Tadd, van Dingenen, Rita, Amann, Marcus, Brunekreef, Bert, Cohen, Aaron, Dentener, Frank, Lai, Christopher, Lamsal, Lok N., Martin, Randall V., One, ISAAC Phase
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440118/
https://www.ncbi.nlm.nih.gov/pubmed/22548921
http://dx.doi.org/10.1289/ehp.1104724
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author Anderson, H. Ross
Butland, Barbara K.
van Donkelaar, Aaron
Brauer, Michael
Strachan, David P.
Clayton, Tadd
van Dingenen, Rita
Amann, Marcus
Brunekreef, Bert
Cohen, Aaron
Dentener, Frank
Lai, Christopher
Lamsal, Lok N.
Martin, Randall V.
One, ISAAC Phase
author_facet Anderson, H. Ross
Butland, Barbara K.
van Donkelaar, Aaron
Brauer, Michael
Strachan, David P.
Clayton, Tadd
van Dingenen, Rita
Amann, Marcus
Brunekreef, Bert
Cohen, Aaron
Dentener, Frank
Lai, Christopher
Lamsal, Lok N.
Martin, Randall V.
One, ISAAC Phase
author_sort Anderson, H. Ross
collection PubMed
description Background: The effect of ambient air pollution on global variations and trends in asthma prevalence is unclear. Objectives: Our goal was to investigate community-level associations between asthma prevalence data from the International Study of Asthma and Allergies in Childhood (ISAAC) and satellite-based estimates of particulate matter with aerodynamic diameter < 2.5 µm (PM(2.5)) and nitrogen dioxide (NO(2)), and modelled estimates of ozone. Methods: We assigned satellite-based estimates of PM(2.5) and NO(2) at a spatial resolution of 0.1° × 0.1° and modeled estimates of ozone at a resolution of 1° × 1° to 183 ISAAC centers. We used center-level prevalence of severe asthma as the outcome and multilevel models to adjust for gross national income (GNI) and center- and country-level sex, climate, and population density. We examined associations (adjusting for GNI) between air pollution and asthma prevalence over time in centers with data from ISAAC Phase One (mid-1900s) and Phase Three (2001–2003). Results: For the 13- to 14-year age group (128 centers in 28 countries), the estimated average within-country change in center-level asthma prevalence per 100 children per 10% increase in center-level PM(2.5) and NO(2) was –0.043 [95% confidence interval (CI): –0.139, 0.053] and 0.017 (95% CI: –0.030, 0.064) respectively. For ozone the estimated change in prevalence per parts per billion by volume was –0.116 (95% CI: –0.234, 0.001). Equivalent results for the 6- to 7-year age group (83 centers in 20 countries), though slightly different, were not significantly positive. For the 13- to 14-year age group, change in center-level asthma prevalence over time per 100 children per 10% increase in PM(2.5) from Phase One to Phase Three was –0.139 (95% CI: –0.347, 0.068). The corresponding association with ozone (per ppbV) was –0.171 (95% CI: –0.275, –0.067). Conclusion: In contrast to reports from within-community studies of individuals exposed to traffic pollution, we did not find evidence of a positive association between ambient air pollution and asthma prevalence as measured at the community level.
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spelling pubmed-34401182012-10-04 Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence Anderson, H. Ross Butland, Barbara K. van Donkelaar, Aaron Brauer, Michael Strachan, David P. Clayton, Tadd van Dingenen, Rita Amann, Marcus Brunekreef, Bert Cohen, Aaron Dentener, Frank Lai, Christopher Lamsal, Lok N. Martin, Randall V. One, ISAAC Phase Environ Health Perspect Research Background: The effect of ambient air pollution on global variations and trends in asthma prevalence is unclear. Objectives: Our goal was to investigate community-level associations between asthma prevalence data from the International Study of Asthma and Allergies in Childhood (ISAAC) and satellite-based estimates of particulate matter with aerodynamic diameter < 2.5 µm (PM(2.5)) and nitrogen dioxide (NO(2)), and modelled estimates of ozone. Methods: We assigned satellite-based estimates of PM(2.5) and NO(2) at a spatial resolution of 0.1° × 0.1° and modeled estimates of ozone at a resolution of 1° × 1° to 183 ISAAC centers. We used center-level prevalence of severe asthma as the outcome and multilevel models to adjust for gross national income (GNI) and center- and country-level sex, climate, and population density. We examined associations (adjusting for GNI) between air pollution and asthma prevalence over time in centers with data from ISAAC Phase One (mid-1900s) and Phase Three (2001–2003). Results: For the 13- to 14-year age group (128 centers in 28 countries), the estimated average within-country change in center-level asthma prevalence per 100 children per 10% increase in center-level PM(2.5) and NO(2) was –0.043 [95% confidence interval (CI): –0.139, 0.053] and 0.017 (95% CI: –0.030, 0.064) respectively. For ozone the estimated change in prevalence per parts per billion by volume was –0.116 (95% CI: –0.234, 0.001). Equivalent results for the 6- to 7-year age group (83 centers in 20 countries), though slightly different, were not significantly positive. For the 13- to 14-year age group, change in center-level asthma prevalence over time per 100 children per 10% increase in PM(2.5) from Phase One to Phase Three was –0.139 (95% CI: –0.347, 0.068). The corresponding association with ozone (per ppbV) was –0.171 (95% CI: –0.275, –0.067). Conclusion: In contrast to reports from within-community studies of individuals exposed to traffic pollution, we did not find evidence of a positive association between ambient air pollution and asthma prevalence as measured at the community level. National Institute of Environmental Health Sciences 2012-05-01 2012-09 /pmc/articles/PMC3440118/ /pubmed/22548921 http://dx.doi.org/10.1289/ehp.1104724 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Research
Anderson, H. Ross
Butland, Barbara K.
van Donkelaar, Aaron
Brauer, Michael
Strachan, David P.
Clayton, Tadd
van Dingenen, Rita
Amann, Marcus
Brunekreef, Bert
Cohen, Aaron
Dentener, Frank
Lai, Christopher
Lamsal, Lok N.
Martin, Randall V.
One, ISAAC Phase
Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence
title Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence
title_full Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence
title_fullStr Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence
title_full_unstemmed Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence
title_short Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence
title_sort satellite-based estimates of ambient air pollution and global variations in childhood asthma prevalence
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440118/
https://www.ncbi.nlm.nih.gov/pubmed/22548921
http://dx.doi.org/10.1289/ehp.1104724
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