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Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing

The association between daily cardiovascular/respiratory mortality and air pollution in an urban district of Beijing was investigated over a 6-year period (January 2003 to December 2008). The purpose of this study was to evaluate the relative importance of the major air pollutants [particulate matte...

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Autores principales: Zhang, Fengying, Li, Liping, Krafft, Thomas, Lv, Jinmei, Wang, Wuyi, Pei, Desheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138014/
https://www.ncbi.nlm.nih.gov/pubmed/21776219
http://dx.doi.org/10.3390/ijerph8062109
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author Zhang, Fengying
Li, Liping
Krafft, Thomas
Lv, Jinmei
Wang, Wuyi
Pei, Desheng
author_facet Zhang, Fengying
Li, Liping
Krafft, Thomas
Lv, Jinmei
Wang, Wuyi
Pei, Desheng
author_sort Zhang, Fengying
collection PubMed
description The association between daily cardiovascular/respiratory mortality and air pollution in an urban district of Beijing was investigated over a 6-year period (January 2003 to December 2008). The purpose of this study was to evaluate the relative importance of the major air pollutants [particulate matter (PM), SO(2), NO(2)] as predictors of daily cardiovascular/respiratory mortality. The time-series studied comprises years with lower level interventions to control air pollution (2003–2006) and years with high level interventions in preparation for and during the Olympics/Paralympics (2007–2008). Concentrations of PM(10), SO(2), and NO(2), were measured daily during the study period. A generalized additive model was used to evaluate daily numbers of cardiovascular/respiratory deaths in relation to each air pollutant, controlling for time trends and meteorological influences such as temperature and relative humidity. The results show that the daily cardiovascular/respiratory death rates were significantly associated with the concentration air pollutants, especially deaths related to cardiovascular disease. The current day effects of PM(10) and NO(2) were higher than that of single lags (distributed lags) and moving average lags for respiratory disease mortality. The largest RR of SO(2) for respiratory disease mortality was in Lag02. For cardiovascular disease mortality, the largest RR was in Lag01 for PM(10), and in current day (Lag0) for SO(2) and NO(2). NO(2) was associated with the largest RRs for deaths from both cardiovascular disease and respiratory disease.
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spelling pubmed-31380142011-07-20 Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing Zhang, Fengying Li, Liping Krafft, Thomas Lv, Jinmei Wang, Wuyi Pei, Desheng Int J Environ Res Public Health Article The association between daily cardiovascular/respiratory mortality and air pollution in an urban district of Beijing was investigated over a 6-year period (January 2003 to December 2008). The purpose of this study was to evaluate the relative importance of the major air pollutants [particulate matter (PM), SO(2), NO(2)] as predictors of daily cardiovascular/respiratory mortality. The time-series studied comprises years with lower level interventions to control air pollution (2003–2006) and years with high level interventions in preparation for and during the Olympics/Paralympics (2007–2008). Concentrations of PM(10), SO(2), and NO(2), were measured daily during the study period. A generalized additive model was used to evaluate daily numbers of cardiovascular/respiratory deaths in relation to each air pollutant, controlling for time trends and meteorological influences such as temperature and relative humidity. The results show that the daily cardiovascular/respiratory death rates were significantly associated with the concentration air pollutants, especially deaths related to cardiovascular disease. The current day effects of PM(10) and NO(2) were higher than that of single lags (distributed lags) and moving average lags for respiratory disease mortality. The largest RR of SO(2) for respiratory disease mortality was in Lag02. For cardiovascular disease mortality, the largest RR was in Lag01 for PM(10), and in current day (Lag0) for SO(2) and NO(2). NO(2) was associated with the largest RRs for deaths from both cardiovascular disease and respiratory disease. Molecular Diversity Preservation International (MDPI) 2011-06 2011-06-09 /pmc/articles/PMC3138014/ /pubmed/21776219 http://dx.doi.org/10.3390/ijerph8062109 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Zhang, Fengying
Li, Liping
Krafft, Thomas
Lv, Jinmei
Wang, Wuyi
Pei, Desheng
Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing
title Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing
title_full Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing
title_fullStr Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing
title_full_unstemmed Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing
title_short Study on the Association between Ambient Air Pollution and Daily Cardiovascular and Respiratory Mortality in an Urban District of Beijing
title_sort study on the association between ambient air pollution and daily cardiovascular and respiratory mortality in an urban district of beijing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138014/
https://www.ncbi.nlm.nih.gov/pubmed/21776219
http://dx.doi.org/10.3390/ijerph8062109
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