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The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China

OBJECTIVE: PM(2.5), which is a major contributor to air pollution, has large effects on lung cancer mortality. We want to analyse the long-term trends in lung cancer burden attributable to PM(2.5) exposure and provide evidence that can be used for preventive measures and health resource planning. ME...

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Autores principales: Wu, Xiaomei, Zhu, Bo, Zhou, Jin, Bi, Yifei, Xu, Shuang, Zhou, Baosen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051098/
https://www.ncbi.nlm.nih.gov/pubmed/33858412
http://dx.doi.org/10.1186/s12889-021-10765-1
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author Wu, Xiaomei
Zhu, Bo
Zhou, Jin
Bi, Yifei
Xu, Shuang
Zhou, Baosen
author_facet Wu, Xiaomei
Zhu, Bo
Zhou, Jin
Bi, Yifei
Xu, Shuang
Zhou, Baosen
author_sort Wu, Xiaomei
collection PubMed
description OBJECTIVE: PM(2.5), which is a major contributor to air pollution, has large effects on lung cancer mortality. We want to analyse the long-term trends in lung cancer burden attributable to PM(2.5) exposure and provide evidence that can be used for preventive measures and health resource planning. METHODS: Mortality data related to lung cancer were obtained from the Global Burden of Disease (GBD) 2019 project. A joinpoint regression analysis was used to assess the magnitude and direction of the trends in mortality from 1990 to 2019, and the age-period-cohort method was used to analyse the temporal trends in the mortality rate of lung cancer attributable to PM(2.5) exposure by age, period, and cohort. RESULTS: From 1990 to 2019, the age-standardized mortality rate (ASMR) attributable to PM(2.5) exposure trended slowly upwards, and the ASMR due to ambient PM(2.5) exposure (APE) increased significantly, that due to household PM(2.5) exposure (HPE) decreased. The longitudinal age curves show that the mortality rates due to PM(2.5) exposure among younger individuals were low, and they significantly increased from their levels among those in the 45–49 age group to their levels among those in the over-85 age group. From 1990 to 2019, the period RRs due to APE increased, but those due to HPE decreased. Similar trends were observed in the cohort RRs. The overall net drift per year attributable to PM(2.5) exposure was below 0. The local drift values increased with age and were above 0 for the over-80 age groups. The overall net drifts per year were above zero for APE and below zero for HPE. The corresponding results among males were higher than those among females. CONCLUSIONS: In China, the type of air pollution responsible for lung cancer has changed from household air pollution to ambient air pollution. PM(2.5) exposure is more harmful among males and older people. Ambient air pollution should be emphasized, and China should strengthen its implementation of effective public policies and other interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10765-1.
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spelling pubmed-80510982021-04-19 The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China Wu, Xiaomei Zhu, Bo Zhou, Jin Bi, Yifei Xu, Shuang Zhou, Baosen BMC Public Health Research Article OBJECTIVE: PM(2.5), which is a major contributor to air pollution, has large effects on lung cancer mortality. We want to analyse the long-term trends in lung cancer burden attributable to PM(2.5) exposure and provide evidence that can be used for preventive measures and health resource planning. METHODS: Mortality data related to lung cancer were obtained from the Global Burden of Disease (GBD) 2019 project. A joinpoint regression analysis was used to assess the magnitude and direction of the trends in mortality from 1990 to 2019, and the age-period-cohort method was used to analyse the temporal trends in the mortality rate of lung cancer attributable to PM(2.5) exposure by age, period, and cohort. RESULTS: From 1990 to 2019, the age-standardized mortality rate (ASMR) attributable to PM(2.5) exposure trended slowly upwards, and the ASMR due to ambient PM(2.5) exposure (APE) increased significantly, that due to household PM(2.5) exposure (HPE) decreased. The longitudinal age curves show that the mortality rates due to PM(2.5) exposure among younger individuals were low, and they significantly increased from their levels among those in the 45–49 age group to their levels among those in the over-85 age group. From 1990 to 2019, the period RRs due to APE increased, but those due to HPE decreased. Similar trends were observed in the cohort RRs. The overall net drift per year attributable to PM(2.5) exposure was below 0. The local drift values increased with age and were above 0 for the over-80 age groups. The overall net drifts per year were above zero for APE and below zero for HPE. The corresponding results among males were higher than those among females. CONCLUSIONS: In China, the type of air pollution responsible for lung cancer has changed from household air pollution to ambient air pollution. PM(2.5) exposure is more harmful among males and older people. Ambient air pollution should be emphasized, and China should strengthen its implementation of effective public policies and other interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10765-1. BioMed Central 2021-04-15 /pmc/articles/PMC8051098/ /pubmed/33858412 http://dx.doi.org/10.1186/s12889-021-10765-1 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 Article
Wu, Xiaomei
Zhu, Bo
Zhou, Jin
Bi, Yifei
Xu, Shuang
Zhou, Baosen
The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China
title The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China
title_full The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China
title_fullStr The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China
title_full_unstemmed The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China
title_short The epidemiological trends in the burden of lung cancer attributable to PM(2.5) exposure in China
title_sort epidemiological trends in the burden of lung cancer attributable to pm(2.5) exposure in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051098/
https://www.ncbi.nlm.nih.gov/pubmed/33858412
http://dx.doi.org/10.1186/s12889-021-10765-1
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