Imperial College London
Alternate

PROFESSOR AZEEM MAJEED

Faculty of Medicine, School of Public Health

Chair - Primary Care and Public Health & Head of Department
 
 
 
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Contact

 

+44 (0)20 7594 3368a.majeed Website

 
 
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Assistant

 

Ms Dorothea Cockerell +44 (0)20 7594 3368

 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{GBD:2022:10.1016/S2542-5196(22)00122-X,
author = {GBD, 2019 Diabetes and Air Pollution Collaborators},
doi = {10.1016/S2542-5196(22)00122-X},
journal = {The Lancet Planetary Health},
pages = {e586--e600},
title = {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},
url = {http://dx.doi.org/10.1016/S2542-5196(22)00122-X},
volume = {6},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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 100000 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 100000 population and 167 (117-223) disability-adjusted life-years (DALYs) per 100000 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
AU  - GBD,2019 Diabetes and Air Pollution Collaborators
DO  - 10.1016/S2542-5196(22)00122-X
EP  - 600
PY  - 2022///
SN  - 2542-5196
SP  - 586
TI  - 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
T2  - The Lancet Planetary Health
UR  - http://dx.doi.org/10.1016/S2542-5196(22)00122-X
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35809588
UR  - http://hdl.handle.net/10044/1/99823
VL  - 6
ER  -
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