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Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties

BACKGROUND: Many studies have reported the effects of PM(2.5) and PM(10) on human health, however, it remains unclear whether particular matter with finer particle size has a greater effect. OBJECTIVES: This work aims to examine the varying associations of the incidence rate of female lung cancer wi...

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Autores principales: Guo, Huagui, Li, Xin, Wei, Jing, Li, Weifeng, Wu, Jiansheng, Zhang, Yanji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855598/
https://www.ncbi.nlm.nih.gov/pubmed/35180870
http://dx.doi.org/10.1186/s12889-022-12622-1
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author Guo, Huagui
Li, Xin
Wei, Jing
Li, Weifeng
Wu, Jiansheng
Zhang, Yanji
author_facet Guo, Huagui
Li, Xin
Wei, Jing
Li, Weifeng
Wu, Jiansheng
Zhang, Yanji
author_sort Guo, Huagui
collection PubMed
description BACKGROUND: Many studies have reported the effects of PM(2.5) and PM(10) on human health, however, it remains unclear whether particular matter with finer particle size has a greater effect. OBJECTIVES: This work aims to examine the varying associations of the incidence rate of female lung cancer with PM(1), PM(2.5) and PM(10) in 436 Chinese cancer registries between 2014 and 2016. METHODS: The effects of PM(1), PM(2.5) and PM(10) were estimated through three regression models, respectively. Mode l only included particular matter, while Model 2 and Model 3 further controlled for time and location factors, and socioeconomic covariates, respectively. Moreover, two sensitivity analyses were performed to investigate the robustness of three particular matte effects. Then, we examined the modifying role of urban-rural division on the effects of PM(1), PM(2.5) and PM(10), respectively. RESULTS: The change in the incidence rate of female lung cancer relative to its mean was 5.98% (95% CI: 3.40, 8.56%) for PM(1), which was larger than the values of PM(2.5) and PM(10) at 3.75% (95% CI: 2.33, 5.17%) and 1.57% (95% CI: 0.73, 2.41%), respectively. The effects of three particular matters were not sensitive in the two sensitivity analyses. Moreover, urban-rural division positively modified the associations of the incidence rate of female lung cancer with PM(1), PM(2.5) and PM(10). CONCLUSIONS: The effect on the incidence rate of female lung cancer was greater for PM(1), followed by PM(2.5) and PM(10). There were positive modifying roles of urban-rural division on the effects of three particular matters. The finding supports the argument that finer particular matters are more harmful to human health, and also highlights the great significance to develop guidelines for PM(1) control and prevention in Chinese setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12622-1.
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spelling pubmed-88555982022-02-23 Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties Guo, Huagui Li, Xin Wei, Jing Li, Weifeng Wu, Jiansheng Zhang, Yanji BMC Public Health Research BACKGROUND: Many studies have reported the effects of PM(2.5) and PM(10) on human health, however, it remains unclear whether particular matter with finer particle size has a greater effect. OBJECTIVES: This work aims to examine the varying associations of the incidence rate of female lung cancer with PM(1), PM(2.5) and PM(10) in 436 Chinese cancer registries between 2014 and 2016. METHODS: The effects of PM(1), PM(2.5) and PM(10) were estimated through three regression models, respectively. Mode l only included particular matter, while Model 2 and Model 3 further controlled for time and location factors, and socioeconomic covariates, respectively. Moreover, two sensitivity analyses were performed to investigate the robustness of three particular matte effects. Then, we examined the modifying role of urban-rural division on the effects of PM(1), PM(2.5) and PM(10), respectively. RESULTS: The change in the incidence rate of female lung cancer relative to its mean was 5.98% (95% CI: 3.40, 8.56%) for PM(1), which was larger than the values of PM(2.5) and PM(10) at 3.75% (95% CI: 2.33, 5.17%) and 1.57% (95% CI: 0.73, 2.41%), respectively. The effects of three particular matters were not sensitive in the two sensitivity analyses. Moreover, urban-rural division positively modified the associations of the incidence rate of female lung cancer with PM(1), PM(2.5) and PM(10). CONCLUSIONS: The effect on the incidence rate of female lung cancer was greater for PM(1), followed by PM(2.5) and PM(10). There were positive modifying roles of urban-rural division on the effects of three particular matters. The finding supports the argument that finer particular matters are more harmful to human health, and also highlights the great significance to develop guidelines for PM(1) control and prevention in Chinese setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12622-1. BioMed Central 2022-02-18 /pmc/articles/PMC8855598/ /pubmed/35180870 http://dx.doi.org/10.1186/s12889-022-12622-1 Text en © The Author(s) 2022 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
Wei, Jing
Li, Weifeng
Wu, Jiansheng
Zhang, Yanji
Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
title Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
title_full Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
title_fullStr Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
title_full_unstemmed Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
title_short Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
title_sort smaller particular matter, larger risk of female lung cancer incidence? evidence from 436 chinese counties
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855598/
https://www.ncbi.nlm.nih.gov/pubmed/35180870
http://dx.doi.org/10.1186/s12889-022-12622-1
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