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Climatic modification effects on the association between PM1 and lung cancer incidence in China
BACKGROUND: Nationwide studies that examine climatic modification effects on the association between air pollution and health outcome are limited in developing countries. Moreover, few studies focus on PM1 pollution despite its greater health effect. OBJECTIVES: This study aims to determine the modi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106137/ https://www.ncbi.nlm.nih.gov/pubmed/33962607 http://dx.doi.org/10.1186/s12889-021-10912-8 |
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author | Guo, Huagui Li, Xin Li, Weifeng Wu, Jiansheng Wang, Siying Wei, Jing |
author_facet | Guo, Huagui Li, Xin Li, Weifeng Wu, Jiansheng Wang, Siying Wei, Jing |
author_sort | Guo, Huagui |
collection | PubMed |
description | BACKGROUND: Nationwide studies that examine climatic modification effects on the association between air pollution and health outcome are limited in developing countries. Moreover, few studies focus on PM1 pollution despite its greater health effect. OBJECTIVES: This study aims to determine the modification effects of climatic factors on the associations between PM1 and the incidence rates of lung cancer for males and females in China. METHODS: We conducted a nationwide analysis in 345 Chinese counties (districts) from 2014 to 2015. Mean air temperature and relative humidity over the study period were used as the proxies of climatic conditions. In terms of the multivariable linear regression model, we examined climatic modification effects in the stratified and combined datasets according to the three-category and binary divisions of climatic factors. Moreover, we performed three sensitivity analyses to test the robustness of climatic modification effects. RESULTS: We found a stronger association between PM1 and the incidence rate of male lung cancer in counties with high levels of air temperature or relative humidity. If there is a 10 μg/m(3) shift in PM1, then the change in male incidence rate relative to its mean was higher by 4.39% (95% CI: 2.19, 6.58%) and 8.37% (95% CI: 5.18, 11.56%) in the middle and high temperature groups than in the low temperature group, respectively. The findings of climatic modification effects were robust in the three sensitivity analyses. No significant modification effect was discovered for female incidence rate. CONCLUSIONS: Male residents in high temperature or humidity counties suffer from a larger effect of PM1 on the incidence rate of lung cancer in China. Future research on air pollution-related health impact assessment should consider the differential air pollution effects across different climatic conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10912-8. |
format | Online Article Text |
id | pubmed-8106137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81061372021-05-10 Climatic modification effects on the association between PM1 and lung cancer incidence in China Guo, Huagui Li, Xin Li, Weifeng Wu, Jiansheng Wang, Siying Wei, Jing BMC Public Health Research BACKGROUND: Nationwide studies that examine climatic modification effects on the association between air pollution and health outcome are limited in developing countries. Moreover, few studies focus on PM1 pollution despite its greater health effect. OBJECTIVES: This study aims to determine the modification effects of climatic factors on the associations between PM1 and the incidence rates of lung cancer for males and females in China. METHODS: We conducted a nationwide analysis in 345 Chinese counties (districts) from 2014 to 2015. Mean air temperature and relative humidity over the study period were used as the proxies of climatic conditions. In terms of the multivariable linear regression model, we examined climatic modification effects in the stratified and combined datasets according to the three-category and binary divisions of climatic factors. Moreover, we performed three sensitivity analyses to test the robustness of climatic modification effects. RESULTS: We found a stronger association between PM1 and the incidence rate of male lung cancer in counties with high levels of air temperature or relative humidity. If there is a 10 μg/m(3) shift in PM1, then the change in male incidence rate relative to its mean was higher by 4.39% (95% CI: 2.19, 6.58%) and 8.37% (95% CI: 5.18, 11.56%) in the middle and high temperature groups than in the low temperature group, respectively. The findings of climatic modification effects were robust in the three sensitivity analyses. No significant modification effect was discovered for female incidence rate. CONCLUSIONS: Male residents in high temperature or humidity counties suffer from a larger effect of PM1 on the incidence rate of lung cancer in China. Future research on air pollution-related health impact assessment should consider the differential air pollution effects across different climatic conditions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10912-8. BioMed Central 2021-05-07 /pmc/articles/PMC8106137/ /pubmed/33962607 http://dx.doi.org/10.1186/s12889-021-10912-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Guo, Huagui Li, Xin Li, Weifeng Wu, Jiansheng Wang, Siying Wei, Jing Climatic modification effects on the association between PM1 and lung cancer incidence in China |
title | Climatic modification effects on the association between PM1 and lung cancer incidence in China |
title_full | Climatic modification effects on the association between PM1 and lung cancer incidence in China |
title_fullStr | Climatic modification effects on the association between PM1 and lung cancer incidence in China |
title_full_unstemmed | Climatic modification effects on the association between PM1 and lung cancer incidence in China |
title_short | Climatic modification effects on the association between PM1 and lung cancer incidence in China |
title_sort | climatic modification effects on the association between pm1 and lung cancer incidence in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106137/ https://www.ncbi.nlm.nih.gov/pubmed/33962607 http://dx.doi.org/10.1186/s12889-021-10912-8 |
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