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Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019

BACKGROUND: Understanding the effects of demographic drivers on lung cancer mortality trends is critical for lung cancer control. We have examined the drivers of lung cancer mortality at the global, regional, and national levels. METHODS: Data on lung cancer death and mortality were extracted from t...

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Autores principales: Fan, Yaguang, Jiang, Yong, Gong, Lei, Wang, Ying, Su, Zheng, Li, Xuebing, Wu, Heng, Pan, Hongli, Wang, Jing, Meng, Zhaowei, Zhou, Qinghua, Qiao, Youlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196253/
https://www.ncbi.nlm.nih.gov/pubmed/37213644
http://dx.doi.org/10.3389/fpubh.2023.1054200
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author Fan, Yaguang
Jiang, Yong
Gong, Lei
Wang, Ying
Su, Zheng
Li, Xuebing
Wu, Heng
Pan, Hongli
Wang, Jing
Meng, Zhaowei
Zhou, Qinghua
Qiao, Youlin
author_facet Fan, Yaguang
Jiang, Yong
Gong, Lei
Wang, Ying
Su, Zheng
Li, Xuebing
Wu, Heng
Pan, Hongli
Wang, Jing
Meng, Zhaowei
Zhou, Qinghua
Qiao, Youlin
author_sort Fan, Yaguang
collection PubMed
description BACKGROUND: Understanding the effects of demographic drivers on lung cancer mortality trends is critical for lung cancer control. We have examined the drivers of lung cancer mortality at the global, regional, and national levels. METHODS: Data on lung cancer death and mortality were extracted from the Global Burden of Disease (GBD) 2019. Estimated annual percentage change (EAPC) in the age-standardized mortality rate (ASMR) for lung cancer and all-cause mortality were calculated to measure temporal trends in lung cancer from 1990 to 2019. Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality. RESULTS: Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. This increase was due to the changes in the number of deaths attributable to population aging (59.6%), population growth (56.7%), and non-GBD risks (3.49%) compared with 1990 data. Conversely, the number of lung cancer deaths due to GBD risks decreased by 19.8%, mainly due to tobacco (−12.66%), occupational risks (−3.52%), and air pollution (−3.47%). More lung cancer deaths (1.83%) were observed in most regions, which were due to high fasting plasma glucose levels. The temporal trend of lung cancer ASMR and the patterns of demographic drivers varied by region and gender. Significant associations were observed between the contributions of population growth, GBD risks and non-GBD risks (negative), population aging (positive), and ASMR in 1990, the sociodemographic index (SDI), and the human development index (HDI) in 2019. CONCLUSION: Population aging and population growth increased global lung cancer deaths from 1990 to 2019, despite a decrease in age-specific lung cancer death rates due to GBD risks in most regions. A tailored strategy is needed to reduce the increasing burden of lung cancer due to outpacing demographic drivers of epidemiological change globally and in most regions, taking into account region- or gender-specific risk patterns.
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spelling pubmed-101962532023-05-20 Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019 Fan, Yaguang Jiang, Yong Gong, Lei Wang, Ying Su, Zheng Li, Xuebing Wu, Heng Pan, Hongli Wang, Jing Meng, Zhaowei Zhou, Qinghua Qiao, Youlin Front Public Health Public Health BACKGROUND: Understanding the effects of demographic drivers on lung cancer mortality trends is critical for lung cancer control. We have examined the drivers of lung cancer mortality at the global, regional, and national levels. METHODS: Data on lung cancer death and mortality were extracted from the Global Burden of Disease (GBD) 2019. Estimated annual percentage change (EAPC) in the age-standardized mortality rate (ASMR) for lung cancer and all-cause mortality were calculated to measure temporal trends in lung cancer from 1990 to 2019. Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality. RESULTS: Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. This increase was due to the changes in the number of deaths attributable to population aging (59.6%), population growth (56.7%), and non-GBD risks (3.49%) compared with 1990 data. Conversely, the number of lung cancer deaths due to GBD risks decreased by 19.8%, mainly due to tobacco (−12.66%), occupational risks (−3.52%), and air pollution (−3.47%). More lung cancer deaths (1.83%) were observed in most regions, which were due to high fasting plasma glucose levels. The temporal trend of lung cancer ASMR and the patterns of demographic drivers varied by region and gender. Significant associations were observed between the contributions of population growth, GBD risks and non-GBD risks (negative), population aging (positive), and ASMR in 1990, the sociodemographic index (SDI), and the human development index (HDI) in 2019. CONCLUSION: Population aging and population growth increased global lung cancer deaths from 1990 to 2019, despite a decrease in age-specific lung cancer death rates due to GBD risks in most regions. A tailored strategy is needed to reduce the increasing burden of lung cancer due to outpacing demographic drivers of epidemiological change globally and in most regions, taking into account region- or gender-specific risk patterns. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196253/ /pubmed/37213644 http://dx.doi.org/10.3389/fpubh.2023.1054200 Text en Copyright © 2023 Fan, Jiang, Gong, Wang, Su, Li, Wu, Pan, Wang, Meng, Zhou and Qiao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Fan, Yaguang
Jiang, Yong
Gong, Lei
Wang, Ying
Su, Zheng
Li, Xuebing
Wu, Heng
Pan, Hongli
Wang, Jing
Meng, Zhaowei
Zhou, Qinghua
Qiao, Youlin
Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
title Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
title_full Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
title_fullStr Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
title_full_unstemmed Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
title_short Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
title_sort epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196253/
https://www.ncbi.nlm.nih.gov/pubmed/37213644
http://dx.doi.org/10.3389/fpubh.2023.1054200
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