Cargando…

Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model

BACKGROUND: PM2.5 has become a major component of air pollution in China and has led to a series of health problems. The mortality rate caused by lung cancer has reached the point where it cannot be ignored in China. Air pollution is becoming more and more serious in China, which is increasingly aff...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Qilong, Rui, Guoqiang, Liang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062941/
https://www.ncbi.nlm.nih.gov/pubmed/30053859
http://dx.doi.org/10.1186/s12889-018-5844-4
_version_ 1783342464845742080
author Cao, Qilong
Rui, Guoqiang
Liang, Ying
author_facet Cao, Qilong
Rui, Guoqiang
Liang, Ying
author_sort Cao, Qilong
collection PubMed
description BACKGROUND: PM2.5 has become a major component of air pollution in China and has led to a series of health problems. The mortality rate caused by lung cancer has reached the point where it cannot be ignored in China. Air pollution is becoming more and more serious in China, which is increasingly affecting people’s lives and health. METHODS: Considering the variations in the geographical environment in China, this paper studied the relationship between PM2.5 concentration and lung cancer mortality based on the geographical weighted regression model in 31 provinces in 2004 and 2008, autonomous regions and municipalities of China. RESULTS: The results indicated there was a significant positive correlation between PM2.5 concentration and lung cancer mortality (r = 0.0052, P = 0.036). Additionally, the longer the time of exposure to PM2.5 is, the higher morbidity is. CONCLUSION: It is suggested that the Chinese government should launch some environmental policy, especially in those areas with severe PM2.5 pollutions, and keep the citizens away from exposure to PM2.5 pollution in the long term.
format Online
Article
Text
id pubmed-6062941
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60629412018-07-31 Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model Cao, Qilong Rui, Guoqiang Liang, Ying BMC Public Health Research Article BACKGROUND: PM2.5 has become a major component of air pollution in China and has led to a series of health problems. The mortality rate caused by lung cancer has reached the point where it cannot be ignored in China. Air pollution is becoming more and more serious in China, which is increasingly affecting people’s lives and health. METHODS: Considering the variations in the geographical environment in China, this paper studied the relationship between PM2.5 concentration and lung cancer mortality based on the geographical weighted regression model in 31 provinces in 2004 and 2008, autonomous regions and municipalities of China. RESULTS: The results indicated there was a significant positive correlation between PM2.5 concentration and lung cancer mortality (r = 0.0052, P = 0.036). Additionally, the longer the time of exposure to PM2.5 is, the higher morbidity is. CONCLUSION: It is suggested that the Chinese government should launch some environmental policy, especially in those areas with severe PM2.5 pollutions, and keep the citizens away from exposure to PM2.5 pollution in the long term. BioMed Central 2018-07-27 /pmc/articles/PMC6062941/ /pubmed/30053859 http://dx.doi.org/10.1186/s12889-018-5844-4 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
Cao, Qilong
Rui, Guoqiang
Liang, Ying
Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model
title Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model
title_full Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model
title_fullStr Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model
title_full_unstemmed Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model
title_short Study on PM2.5 pollution and the mortality due to lung cancer in China based on geographic weighted regression model
title_sort study on pm2.5 pollution and the mortality due to lung cancer in china based on geographic weighted regression model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062941/
https://www.ncbi.nlm.nih.gov/pubmed/30053859
http://dx.doi.org/10.1186/s12889-018-5844-4
work_keys_str_mv AT caoqilong studyonpm25pollutionandthemortalityduetolungcancerinchinabasedongeographicweightedregressionmodel
AT ruiguoqiang studyonpm25pollutionandthemortalityduetolungcancerinchinabasedongeographicweightedregressionmodel
AT liangying studyonpm25pollutionandthemortalityduetolungcancerinchinabasedongeographicweightedregressionmodel