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The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models

BACKGROUND: Some epidemiological evidence has shown a relation between ambient air pollution and adverse health outcomes. The aim of this study was to investigate the effect of air pollution on mortality from respiratory diseases in Tehran, Iran. METHODS: In this ecological study, air pollution data...

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Autores principales: Dehghan, Azizallah, Khanjani, Narges, Bahrampour, Abbas, Goudarzi, Gholamreza, Yunesian, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859399/
https://www.ncbi.nlm.nih.gov/pubmed/29558916
http://dx.doi.org/10.1186/s12890-018-0613-9
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author Dehghan, Azizallah
Khanjani, Narges
Bahrampour, Abbas
Goudarzi, Gholamreza
Yunesian, Masoud
author_facet Dehghan, Azizallah
Khanjani, Narges
Bahrampour, Abbas
Goudarzi, Gholamreza
Yunesian, Masoud
author_sort Dehghan, Azizallah
collection PubMed
description BACKGROUND: Some epidemiological evidence has shown a relation between ambient air pollution and adverse health outcomes. The aim of this study was to investigate the effect of air pollution on mortality from respiratory diseases in Tehran, Iran. METHODS: In this ecological study, air pollution data was inquired from the Tehran Province Environmental Protection Agency and the Tehran Air Quality Control Company. Meteorological data was collected from the Tehran Meteorology Organization and mortality data from the Tehran Cemetery Mortality Registration. Generalized Additive Models (GAM) was used for data analysis with different lags, up to 15 days. A 10-unit increase in all pollutants except CO (1-unit) was used to compute the Relative Risk of deaths. RESULTS: During 2005 until 2014, 37,967 respiratory deaths occurred in Tehran in which 21,913 (57.7%) were male. The strongest relationship between NO(2) and PM(10)and respiratory death was seen on the same day (lag 0), and was respectively (RR = 1.04, 95% CI: 1.02–1.07) and (RR = 1.03, 95% CI: 1.02–1.04). O(3) and PM(2.5) had the strongest relationship with respiratory deaths on lag 2 and 1 respectively, and the RR was equal to 1.03, 95% CI: 1.01–1.05 and 1.06, 95% CI: 1.02–1.10 respectively. NO(2), O(3), PM(10) and PM(2.5) also showed significant relations with respiratory deaths in the older age groups. CONCLUSIONS: The findings of this study showed that O(3), NO(2), PM(10) and PM(2.5) air pollutants were related to respiratory deaths in Tehran. Reducing ambient air pollution can save lives in Tehran.
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spelling pubmed-58593992018-03-20 The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models Dehghan, Azizallah Khanjani, Narges Bahrampour, Abbas Goudarzi, Gholamreza Yunesian, Masoud BMC Pulm Med Research Article BACKGROUND: Some epidemiological evidence has shown a relation between ambient air pollution and adverse health outcomes. The aim of this study was to investigate the effect of air pollution on mortality from respiratory diseases in Tehran, Iran. METHODS: In this ecological study, air pollution data was inquired from the Tehran Province Environmental Protection Agency and the Tehran Air Quality Control Company. Meteorological data was collected from the Tehran Meteorology Organization and mortality data from the Tehran Cemetery Mortality Registration. Generalized Additive Models (GAM) was used for data analysis with different lags, up to 15 days. A 10-unit increase in all pollutants except CO (1-unit) was used to compute the Relative Risk of deaths. RESULTS: During 2005 until 2014, 37,967 respiratory deaths occurred in Tehran in which 21,913 (57.7%) were male. The strongest relationship between NO(2) and PM(10)and respiratory death was seen on the same day (lag 0), and was respectively (RR = 1.04, 95% CI: 1.02–1.07) and (RR = 1.03, 95% CI: 1.02–1.04). O(3) and PM(2.5) had the strongest relationship with respiratory deaths on lag 2 and 1 respectively, and the RR was equal to 1.03, 95% CI: 1.01–1.05 and 1.06, 95% CI: 1.02–1.10 respectively. NO(2), O(3), PM(10) and PM(2.5) also showed significant relations with respiratory deaths in the older age groups. CONCLUSIONS: The findings of this study showed that O(3), NO(2), PM(10) and PM(2.5) air pollutants were related to respiratory deaths in Tehran. Reducing ambient air pollution can save lives in Tehran. BioMed Central 2018-03-20 /pmc/articles/PMC5859399/ /pubmed/29558916 http://dx.doi.org/10.1186/s12890-018-0613-9 Text en © The Author(s). 2018 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
Dehghan, Azizallah
Khanjani, Narges
Bahrampour, Abbas
Goudarzi, Gholamreza
Yunesian, Masoud
The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
title The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
title_full The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
title_fullStr The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
title_full_unstemmed The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
title_short The relation between air pollution and respiratory deaths in Tehran, Iran- using generalized additive models
title_sort relation between air pollution and respiratory deaths in tehran, iran- using generalized additive models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859399/
https://www.ncbi.nlm.nih.gov/pubmed/29558916
http://dx.doi.org/10.1186/s12890-018-0613-9
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