Cargando…

Associations between ozone and morbidity using the Spatial Synoptic Classification system

BACKGROUND: Synoptic circulation patterns (large-scale tropospheric motion systems) affect air pollution and, potentially, air-pollution-morbidity associations. We evaluated the effect of synoptic circulation patterns (air masses) on the association between ozone and hospital admissions for asthma a...

Descripción completa

Detalles Bibliográficos
Autores principales: Hanna, Adel F, Yeatts, Karin B, Xiu, Aijun, Zhu, Zhengyuan, Smith, Richard L, Davis, Neil N, Talgo, Kevin D, Arora, Gurmeet, Robinson, Peter J, Meng, Qingyu, Pinto, Joseph P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117763/
https://www.ncbi.nlm.nih.gov/pubmed/21609456
http://dx.doi.org/10.1186/1476-069X-10-49
_version_ 1782206369288421376
author Hanna, Adel F
Yeatts, Karin B
Xiu, Aijun
Zhu, Zhengyuan
Smith, Richard L
Davis, Neil N
Talgo, Kevin D
Arora, Gurmeet
Robinson, Peter J
Meng, Qingyu
Pinto, Joseph P
author_facet Hanna, Adel F
Yeatts, Karin B
Xiu, Aijun
Zhu, Zhengyuan
Smith, Richard L
Davis, Neil N
Talgo, Kevin D
Arora, Gurmeet
Robinson, Peter J
Meng, Qingyu
Pinto, Joseph P
author_sort Hanna, Adel F
collection PubMed
description BACKGROUND: Synoptic circulation patterns (large-scale tropospheric motion systems) affect air pollution and, potentially, air-pollution-morbidity associations. We evaluated the effect of synoptic circulation patterns (air masses) on the association between ozone and hospital admissions for asthma and myocardial infarction (MI) among adults in North Carolina. METHODS: Daily surface meteorology data (including precipitation, wind speed, and dew point) for five selected cities in North Carolina were obtained from the U.S. EPA Air Quality System (AQS), which were in turn based on data from the National Climatic Data Center of the National Oceanic and Atmospheric Administration. We used the Spatial Synoptic Classification system to classify each day of the 9-year period from 1996 through 2004 into one of seven different air mass types: dry polar, dry moderate, dry tropical, moist polar, moist moderate, moist tropical, or transitional. Daily 24-hour maximum 1-hour ambient concentrations of ozone were obtained from the AQS. Asthma and MI hospital admissions data for the 9-year period were obtained from the North Carolina Department of Health and Human Services. Generalized linear models were used to assess the association of the hospitalizations with ozone concentrations and specific air mass types, using pollutant lags of 0 to 5 days. We examined the effect across cities on days with the same air mass type. In all models we adjusted for dew point and day-of-the-week effects related to hospital admissions. RESULTS: Ozone was associated with asthma under dry tropical (1- to 5-day lags), transitional (3- and 4-day lags), and extreme moist tropical (0-day lag) air masses. Ozone was associated with MI only under the extreme moist tropical (5-day lag) air masses. CONCLUSIONS: Elevated ozone levels are associated with dry tropical, dry moderate, and moist tropical air masses, with the highest ozone levels being associated with the dry tropical air mass. Certain synoptic circulation patterns/air masses in conjunction with ambient ozone levels were associated with increased asthma and MI hospitalizations.
format Online
Article
Text
id pubmed-3117763
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-31177632011-06-18 Associations between ozone and morbidity using the Spatial Synoptic Classification system Hanna, Adel F Yeatts, Karin B Xiu, Aijun Zhu, Zhengyuan Smith, Richard L Davis, Neil N Talgo, Kevin D Arora, Gurmeet Robinson, Peter J Meng, Qingyu Pinto, Joseph P Environ Health Research BACKGROUND: Synoptic circulation patterns (large-scale tropospheric motion systems) affect air pollution and, potentially, air-pollution-morbidity associations. We evaluated the effect of synoptic circulation patterns (air masses) on the association between ozone and hospital admissions for asthma and myocardial infarction (MI) among adults in North Carolina. METHODS: Daily surface meteorology data (including precipitation, wind speed, and dew point) for five selected cities in North Carolina were obtained from the U.S. EPA Air Quality System (AQS), which were in turn based on data from the National Climatic Data Center of the National Oceanic and Atmospheric Administration. We used the Spatial Synoptic Classification system to classify each day of the 9-year period from 1996 through 2004 into one of seven different air mass types: dry polar, dry moderate, dry tropical, moist polar, moist moderate, moist tropical, or transitional. Daily 24-hour maximum 1-hour ambient concentrations of ozone were obtained from the AQS. Asthma and MI hospital admissions data for the 9-year period were obtained from the North Carolina Department of Health and Human Services. Generalized linear models were used to assess the association of the hospitalizations with ozone concentrations and specific air mass types, using pollutant lags of 0 to 5 days. We examined the effect across cities on days with the same air mass type. In all models we adjusted for dew point and day-of-the-week effects related to hospital admissions. RESULTS: Ozone was associated with asthma under dry tropical (1- to 5-day lags), transitional (3- and 4-day lags), and extreme moist tropical (0-day lag) air masses. Ozone was associated with MI only under the extreme moist tropical (5-day lag) air masses. CONCLUSIONS: Elevated ozone levels are associated with dry tropical, dry moderate, and moist tropical air masses, with the highest ozone levels being associated with the dry tropical air mass. Certain synoptic circulation patterns/air masses in conjunction with ambient ozone levels were associated with increased asthma and MI hospitalizations. BioMed Central 2011-05-24 /pmc/articles/PMC3117763/ /pubmed/21609456 http://dx.doi.org/10.1186/1476-069X-10-49 Text en Copyright ©2011 Hanna 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 Research
Hanna, Adel F
Yeatts, Karin B
Xiu, Aijun
Zhu, Zhengyuan
Smith, Richard L
Davis, Neil N
Talgo, Kevin D
Arora, Gurmeet
Robinson, Peter J
Meng, Qingyu
Pinto, Joseph P
Associations between ozone and morbidity using the Spatial Synoptic Classification system
title Associations between ozone and morbidity using the Spatial Synoptic Classification system
title_full Associations between ozone and morbidity using the Spatial Synoptic Classification system
title_fullStr Associations between ozone and morbidity using the Spatial Synoptic Classification system
title_full_unstemmed Associations between ozone and morbidity using the Spatial Synoptic Classification system
title_short Associations between ozone and morbidity using the Spatial Synoptic Classification system
title_sort associations between ozone and morbidity using the spatial synoptic classification system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117763/
https://www.ncbi.nlm.nih.gov/pubmed/21609456
http://dx.doi.org/10.1186/1476-069X-10-49
work_keys_str_mv AT hannaadelf associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT yeattskarinb associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT xiuaijun associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT zhuzhengyuan associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT smithrichardl associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT davisneiln associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT talgokevind associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT aroragurmeet associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT robinsonpeterj associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT mengqingyu associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem
AT pintojosephp associationsbetweenozoneandmorbidityusingthespatialsynopticclassificationsystem