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Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019

BACKGROUND: Epidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM(2.5)) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM(2.5) pollution, including ambient particulate matter pollution (AP...

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Autores principales: Wu, Ying, Fu, Rongguo, Lei, Chen, Deng, Yujiao, Lou, Weiyang, Wang, Li, Zheng, Yi, Deng, Xinyue, Yang, Si, Wang, Meng, Zhai, Zhen, Zhu, Yuyao, Xiang, Dong, Hu, Jingjing, Dai, Zhijun, Gao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414895/
https://www.ncbi.nlm.nih.gov/pubmed/34484113
http://dx.doi.org/10.3389/fendo.2021.689079
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author Wu, Ying
Fu, Rongguo
Lei, Chen
Deng, Yujiao
Lou, Weiyang
Wang, Li
Zheng, Yi
Deng, Xinyue
Yang, Si
Wang, Meng
Zhai, Zhen
Zhu, Yuyao
Xiang, Dong
Hu, Jingjing
Dai, Zhijun
Gao, Jie
author_facet Wu, Ying
Fu, Rongguo
Lei, Chen
Deng, Yujiao
Lou, Weiyang
Wang, Li
Zheng, Yi
Deng, Xinyue
Yang, Si
Wang, Meng
Zhai, Zhen
Zhu, Yuyao
Xiang, Dong
Hu, Jingjing
Dai, Zhijun
Gao, Jie
author_sort Wu, Ying
collection PubMed
description BACKGROUND: Epidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM(2.5)) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM(2.5) pollution, including ambient particulate matter pollution (APMP) and household air pollution (HAP), from 1990–2019. METHODS: Data were obtained from the Global Burden of Disease Study 2019 and were analyzed by age, sex, year, and location. Joinpoint regression analysis was applied in the analysis of temporal trends in type 2 diabetes mellitus burden over the 30 years. RESULTS: Globally, PM(2.5) pollution contributed to 292.5 thousand deaths and 13 million disability-adjusted life-years (DALYs) in 2019. APMP ranked third among all risk factors, causing an increase in type 2 diabetes mellitus burden from 1990, whereas the impact of HAP significantly fell during the same period. Both APMP and HAP contributed the most to deaths and DALYs of type 2 diabetes mellitus among older people. However, the age-standardized death and DALY rates of type 2 diabetes mellitus attributable to APMP were greater among males and people in the middle socio-demographic index countries, especially in Southern Sub-Saharan Africa. For HAP, type 2 diabetes mellitus burden was modestly higher in females and was highest in Oceania, which was the only region with an increase from 1990. CONCLUSIONS: PM(2.5) pollution resulted in substantial and increasing type 2 diabetes mellitus burden worldwide. Hence, governments and health systems should take steps to reduce air pollution to mitigate this increasing burden.
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spelling pubmed-84148952021-09-04 Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019 Wu, Ying Fu, Rongguo Lei, Chen Deng, Yujiao Lou, Weiyang Wang, Li Zheng, Yi Deng, Xinyue Yang, Si Wang, Meng Zhai, Zhen Zhu, Yuyao Xiang, Dong Hu, Jingjing Dai, Zhijun Gao, Jie Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Epidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM(2.5)) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM(2.5) pollution, including ambient particulate matter pollution (APMP) and household air pollution (HAP), from 1990–2019. METHODS: Data were obtained from the Global Burden of Disease Study 2019 and were analyzed by age, sex, year, and location. Joinpoint regression analysis was applied in the analysis of temporal trends in type 2 diabetes mellitus burden over the 30 years. RESULTS: Globally, PM(2.5) pollution contributed to 292.5 thousand deaths and 13 million disability-adjusted life-years (DALYs) in 2019. APMP ranked third among all risk factors, causing an increase in type 2 diabetes mellitus burden from 1990, whereas the impact of HAP significantly fell during the same period. Both APMP and HAP contributed the most to deaths and DALYs of type 2 diabetes mellitus among older people. However, the age-standardized death and DALY rates of type 2 diabetes mellitus attributable to APMP were greater among males and people in the middle socio-demographic index countries, especially in Southern Sub-Saharan Africa. For HAP, type 2 diabetes mellitus burden was modestly higher in females and was highest in Oceania, which was the only region with an increase from 1990. CONCLUSIONS: PM(2.5) pollution resulted in substantial and increasing type 2 diabetes mellitus burden worldwide. Hence, governments and health systems should take steps to reduce air pollution to mitigate this increasing burden. Frontiers Media S.A. 2021-08-13 /pmc/articles/PMC8414895/ /pubmed/34484113 http://dx.doi.org/10.3389/fendo.2021.689079 Text en Copyright © 2021 Wu, Fu, Lei, Deng, Lou, Wang, Zheng, Deng, Yang, Wang, Zhai, Zhu, Xiang, Hu, Dai and Gao 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 Endocrinology
Wu, Ying
Fu, Rongguo
Lei, Chen
Deng, Yujiao
Lou, Weiyang
Wang, Li
Zheng, Yi
Deng, Xinyue
Yang, Si
Wang, Meng
Zhai, Zhen
Zhu, Yuyao
Xiang, Dong
Hu, Jingjing
Dai, Zhijun
Gao, Jie
Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
title Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
title_full Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
title_fullStr Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
title_full_unstemmed Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
title_short Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
title_sort estimates of type 2 diabetes mellitus burden attributable to particulate matter pollution and its 30-year change patterns: a systematic analysis of data from the global burden of disease study 2019
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414895/
https://www.ncbi.nlm.nih.gov/pubmed/34484113
http://dx.doi.org/10.3389/fendo.2021.689079
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