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Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran
BACKGROUND: Ambient air pollution, is one of the most frequently stated environmental problems. Many epidemiological studies have documented adverse health effects for ambient air pollution. This study aimed to investigate the association between ambient air pollution and respiratory hospital admiss...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514473/ https://www.ncbi.nlm.nih.gov/pubmed/28725443 http://dx.doi.org/10.1186/s40201-017-0277-z |
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author | Vahedian, Mostafa Khanjani, Narges Mirzaee, Moghaddameh Koolivand, Ali |
author_facet | Vahedian, Mostafa Khanjani, Narges Mirzaee, Moghaddameh Koolivand, Ali |
author_sort | Vahedian, Mostafa |
collection | PubMed |
description | BACKGROUND: Ambient air pollution, is one of the most frequently stated environmental problems. Many epidemiological studies have documented adverse health effects for ambient air pollution. This study aimed to investigate the association between ambient air pollution and respiratory hospital admissions. METHODS: In this ecological time series study data about air pollutant concentrations including CO, NO(2), O(3), PM(2.5), PM(10) and SO(2) and, respiratory hospital admissions in the urban population of Arak, from January 1st 2010 to December 31st 2015; were inquired, from the Arak Department of Environment, and two major hospitals, respectively. Meteorological data were inquired for the same period as well. Time-series regression analysis with a distributed lag model, controlled for seasonality long-time trends, weather and day of the week, was used for data analysis. RESULTS: Every 10 μg/m(3) increase in NO(2), and PM(10) and every 1 mg/m(3) increase in CO at lag 0 corresponded to a RR = 1.032 (95%CI, 1.003–1.06), RR = 1.01 (95%CI, 1.004–1.017) and RR = 1.09 (95%CI, 1.04–1.14), increase in respiratory disease hospitalizations, respectively. Males and the elderly were found to be more susceptible than females and other age groups to air pollutants in regard to respiratory disease admissions. CONCLUSIONS: The results of this study showed that outdoor air pollutants significantly increase respiratory hospital admissions; especially among the men and elders in Arak. |
format | Online Article Text |
id | pubmed-5514473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55144732017-07-19 Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran Vahedian, Mostafa Khanjani, Narges Mirzaee, Moghaddameh Koolivand, Ali J Environ Health Sci Eng Research Article BACKGROUND: Ambient air pollution, is one of the most frequently stated environmental problems. Many epidemiological studies have documented adverse health effects for ambient air pollution. This study aimed to investigate the association between ambient air pollution and respiratory hospital admissions. METHODS: In this ecological time series study data about air pollutant concentrations including CO, NO(2), O(3), PM(2.5), PM(10) and SO(2) and, respiratory hospital admissions in the urban population of Arak, from January 1st 2010 to December 31st 2015; were inquired, from the Arak Department of Environment, and two major hospitals, respectively. Meteorological data were inquired for the same period as well. Time-series regression analysis with a distributed lag model, controlled for seasonality long-time trends, weather and day of the week, was used for data analysis. RESULTS: Every 10 μg/m(3) increase in NO(2), and PM(10) and every 1 mg/m(3) increase in CO at lag 0 corresponded to a RR = 1.032 (95%CI, 1.003–1.06), RR = 1.01 (95%CI, 1.004–1.017) and RR = 1.09 (95%CI, 1.04–1.14), increase in respiratory disease hospitalizations, respectively. Males and the elderly were found to be more susceptible than females and other age groups to air pollutants in regard to respiratory disease admissions. CONCLUSIONS: The results of this study showed that outdoor air pollutants significantly increase respiratory hospital admissions; especially among the men and elders in Arak. BioMed Central 2017-07-17 /pmc/articles/PMC5514473/ /pubmed/28725443 http://dx.doi.org/10.1186/s40201-017-0277-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Vahedian, Mostafa Khanjani, Narges Mirzaee, Moghaddameh Koolivand, Ali Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran |
title | Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran |
title_full | Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran |
title_fullStr | Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran |
title_full_unstemmed | Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran |
title_short | Associations of short-term exposure to air pollution with respiratory hospital admissions in Arak, Iran |
title_sort | associations of short-term exposure to air pollution with respiratory hospital admissions in arak, iran |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514473/ https://www.ncbi.nlm.nih.gov/pubmed/28725443 http://dx.doi.org/10.1186/s40201-017-0277-z |
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