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An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China
OBJECTIVE: To explore the association between Particulate Matter (PM)(2.5) (particles with an aerodynamic diameter less than 2.5 µm) and lung cancer mortality rates and to estimate the potential risk of lung cancer mortality related to exposure to high PM(2.5) concentrations. DESIGN: Geographically...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663405/ https://www.ncbi.nlm.nih.gov/pubmed/26603253 http://dx.doi.org/10.1136/bmjopen-2015-009452 |
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author | Fu, Jingying Jiang, Dong Lin, Gang Liu, Kun Wang, Qiao |
author_facet | Fu, Jingying Jiang, Dong Lin, Gang Liu, Kun Wang, Qiao |
author_sort | Fu, Jingying |
collection | PubMed |
description | OBJECTIVE: To explore the association between Particulate Matter (PM)(2.5) (particles with an aerodynamic diameter less than 2.5 µm) and lung cancer mortality rates and to estimate the potential risk of lung cancer mortality related to exposure to high PM(2.5) concentrations. DESIGN: Geographically weighted regression was performed to evaluate the relation between PM(2.5) concentrations and lung cancer mortality for males, females and for both sexes combined, in 2008, based on newly available long-term data. Lung cancer fatalities from long-term exposure to PM(2.5) were calculated according to studies by Pope III et al and the WHO air quality guidelines (AQGs). SETTING: 31 provinces in China. RESULTS: PM(2.5) was associated with the lung cancer mortality of males, females and both sexes combined, in China, although there were exceptions in several regions, for males and females. The number of lung cancer fatalities calculated by the WHO AQGs ranged from 531 036 to 532 004, whereas the number calculated by the American Cancer Society (ACS) reached 614 860 after long-term (approximately 3–4 years) exposure to PM(2.5) concentrations since 2008. CONCLUSIONS: There is a positive correlation between PM(2.5) and lung cancer mortality rate, and the relationship between them varies across the entire country of China. The number of lung cancer fatalities estimated by ACS was closer to the actual data than those of the WHO AQGs. Therefore, the ACS estimate of increased risk of lung cancer mortality from long-term exposure to PM(2.5) might be more applicable for evaluating lung cancer fatalities in China than the WHO estimate. |
format | Online Article Text |
id | pubmed-4663405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46634052015-12-03 An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China Fu, Jingying Jiang, Dong Lin, Gang Liu, Kun Wang, Qiao BMJ Open Public Health OBJECTIVE: To explore the association between Particulate Matter (PM)(2.5) (particles with an aerodynamic diameter less than 2.5 µm) and lung cancer mortality rates and to estimate the potential risk of lung cancer mortality related to exposure to high PM(2.5) concentrations. DESIGN: Geographically weighted regression was performed to evaluate the relation between PM(2.5) concentrations and lung cancer mortality for males, females and for both sexes combined, in 2008, based on newly available long-term data. Lung cancer fatalities from long-term exposure to PM(2.5) were calculated according to studies by Pope III et al and the WHO air quality guidelines (AQGs). SETTING: 31 provinces in China. RESULTS: PM(2.5) was associated with the lung cancer mortality of males, females and both sexes combined, in China, although there were exceptions in several regions, for males and females. The number of lung cancer fatalities calculated by the WHO AQGs ranged from 531 036 to 532 004, whereas the number calculated by the American Cancer Society (ACS) reached 614 860 after long-term (approximately 3–4 years) exposure to PM(2.5) concentrations since 2008. CONCLUSIONS: There is a positive correlation between PM(2.5) and lung cancer mortality rate, and the relationship between them varies across the entire country of China. The number of lung cancer fatalities estimated by ACS was closer to the actual data than those of the WHO AQGs. Therefore, the ACS estimate of increased risk of lung cancer mortality from long-term exposure to PM(2.5) might be more applicable for evaluating lung cancer fatalities in China than the WHO estimate. BMJ Publishing Group 2015-11-24 /pmc/articles/PMC4663405/ /pubmed/26603253 http://dx.doi.org/10.1136/bmjopen-2015-009452 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Public Health Fu, Jingying Jiang, Dong Lin, Gang Liu, Kun Wang, Qiao An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China |
title | An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China |
title_full | An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China |
title_fullStr | An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China |
title_full_unstemmed | An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China |
title_short | An ecological analysis of PM(2.5) concentrations and lung cancer mortality rates in China |
title_sort | ecological analysis of pm(2.5) concentrations and lung cancer mortality rates in china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663405/ https://www.ncbi.nlm.nih.gov/pubmed/26603253 http://dx.doi.org/10.1136/bmjopen-2015-009452 |
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