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Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019
Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation.

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GBD 2019 Diabetes and Air Pollution Collaborators (2022) Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019. The Lancet Planetary Health, 6 (7), e586-e600. (doi:10.1016/S2542-5196(22)00122-X).

Record type: Article

Abstract

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation.

This record has no associated files available for download.

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Published date: July 2022
Additional Information: Publisher Copyright: © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Identifiers

Local EPrints ID: 499259
URI: http://eprints.soton.ac.uk/id/eprint/499259
ISSN: 2542-5196
PURE UUID: e9532c42-7e44-42a2-a41d-d449c8a47d85
ORCID for Paul H. Lee: ORCID iD orcid.org/0000-0002-5729-6450

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Date deposited: 12 Mar 2025 18:24
Last modified: 13 Mar 2025 03:09

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Contributors

Author: Katrin Burkart
Author: Kate Causey
Author: Aaron J. Cohen
Author: Sarah S. Wozniak
Author: Devashri Digvijay Salvi
Author: Cristiana Abbafati
Author: Victor Adekanmbi
Author: Jose C. Adsuar
Author: Keivan Ahmadi
Author: Fares Alahdab
Author: Ziyad Al-Aly
Author: Vahid Alipour
Author: Nelson Alvis-Guzman
Author: Adeladza Kofi Amegah
Author: Catalina Liliana Andrei
Author: Tudorel Andrei
Author: Fereshteh Ansari
Author: Jalal Arabloo
Author: Olatunde Aremu
Author: Timur Aripov
Author: Ebrahim Babaee
Author: MacIej Banach
Author: Anthony Barnett
Author: Till Winfried Bärnighausen
Author: Neeraj Bedi
Author: Masoud Behzadifar
Author: Yannick Béjot
Author: Derrick A. Bennett
Author: Isabela M. Bensenor
Author: Robert S. Bernstein
Author: Krittika Bhattacharyya
Author: Ali Bijani
Author: Antonio Biondi
Author: Somayeh Bohlouli
Author: Susanne Breitner
Author: Hermann Brenner
Author: Zahid A. Butt
Author: Luis Alberto Cámera
Author: Carlos Cantu-Brito
Author: Felix Carvalho
Author: Ester Cerin
Author: Vijay Kumar Chattu
Author: Bal Govind Chauhan
Author: Jee Young Jasmine Choi
Author: Dinh Toi Chu
Author: Xiaochen Dai
Author: Paul H. Lee ORCID iD
Author: Yong Liu
Author: Irfan Ullah
Author: Stephen S. Lim
Corporate Author: GBD 2019 Diabetes and Air Pollution Collaborators

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