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...
Autores principales: | , , |
---|---|
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 |