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Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China

OBJECTIVE: We aimed to clarify the association between air pollution and hospital admissions for chronic obstructive pulmonary disease (COPD) and mortality in Beijing, China. METHODS: In this retrospective study, we recruited 510 COPD patients from 1 January 2006 to 31 December 2009. The patient dat...

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Autores principales: Zhu, Rui‐xia, Chen, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363839/
https://www.ncbi.nlm.nih.gov/pubmed/37392082
http://dx.doi.org/10.1111/crj.13656
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author Zhu, Rui‐xia
Chen, Jin
author_facet Zhu, Rui‐xia
Chen, Jin
author_sort Zhu, Rui‐xia
collection PubMed
description OBJECTIVE: We aimed to clarify the association between air pollution and hospital admissions for chronic obstructive pulmonary disease (COPD) and mortality in Beijing, China. METHODS: In this retrospective study, we recruited 510 COPD patients from 1 January 2006 to 31 December 2009. The patient data were obtained from the electronic medical records of Peking University Third Hospital in Beijing. Air pollution and meteorological data were obtained from the Institute of Atmospheric Physics of the Chinese Academy of Sciences. Monthly COPD hospital admissions, mortality and air pollution data were analysed using Poisson regression in generalised additive models adjusted for mean temperature, pressure and relative humidity. RESULTS: There were positive correlations between sulfur dioxide (SO(2)), particulate matter with an aerodynamic diameter ≤ 10 μm (PM(10)) and COPD hospital admissions in the single‐pollutant model. An increase of 10 μg/m(3) in SO(2) and PM(10) were associated with an increase of 4.053% (95% CI: 1.470–5.179%) and 1.401% (95%CI: 0.6656–1.850%) in COPD hospital admissions. In the multiple‐pollutant model [SO(2) and nitrogen dioxide (NO(2)) combinations], there was only a positive correlation between SO(2) and COPD hospital admissions. An increase of 10 μg/m(3) in SO(2) were associated with an increase of 1.916% (95% CI: 1.118–4.286%) in COPD hospital admissions. There was no correlation between three pollutant combinations and COPD hospital admissions. We did not find correlations between air pollution and COPD mortality in either single‐ or multiple‐pollutant models. CONCLUSIONS: SO(2) and PM(10) may be important factors for the increase in COPD hospital admissions in Beijing, China.
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spelling pubmed-103638392023-07-25 Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China Zhu, Rui‐xia Chen, Jin Clin Respir J Original Articles OBJECTIVE: We aimed to clarify the association between air pollution and hospital admissions for chronic obstructive pulmonary disease (COPD) and mortality in Beijing, China. METHODS: In this retrospective study, we recruited 510 COPD patients from 1 January 2006 to 31 December 2009. The patient data were obtained from the electronic medical records of Peking University Third Hospital in Beijing. Air pollution and meteorological data were obtained from the Institute of Atmospheric Physics of the Chinese Academy of Sciences. Monthly COPD hospital admissions, mortality and air pollution data were analysed using Poisson regression in generalised additive models adjusted for mean temperature, pressure and relative humidity. RESULTS: There were positive correlations between sulfur dioxide (SO(2)), particulate matter with an aerodynamic diameter ≤ 10 μm (PM(10)) and COPD hospital admissions in the single‐pollutant model. An increase of 10 μg/m(3) in SO(2) and PM(10) were associated with an increase of 4.053% (95% CI: 1.470–5.179%) and 1.401% (95%CI: 0.6656–1.850%) in COPD hospital admissions. In the multiple‐pollutant model [SO(2) and nitrogen dioxide (NO(2)) combinations], there was only a positive correlation between SO(2) and COPD hospital admissions. An increase of 10 μg/m(3) in SO(2) were associated with an increase of 1.916% (95% CI: 1.118–4.286%) in COPD hospital admissions. There was no correlation between three pollutant combinations and COPD hospital admissions. We did not find correlations between air pollution and COPD mortality in either single‐ or multiple‐pollutant models. CONCLUSIONS: SO(2) and PM(10) may be important factors for the increase in COPD hospital admissions in Beijing, China. John Wiley and Sons Inc. 2023-07-01 /pmc/articles/PMC10363839/ /pubmed/37392082 http://dx.doi.org/10.1111/crj.13656 Text en © 2023 The Authors. The Clinical Respiratory Journal published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zhu, Rui‐xia
Chen, Jin
Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China
title Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China
title_full Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China
title_fullStr Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China
title_full_unstemmed Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China
title_short Long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China
title_sort long‐term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in beijing, china
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363839/
https://www.ncbi.nlm.nih.gov/pubmed/37392082
http://dx.doi.org/10.1111/crj.13656
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