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Dataset Information

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM<sub>2·5</sub> air pollution, 1990-2019: an analysis of data from the Global Burden of Disease Study 2019.


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

SUBMITTER: GBD 2019 Diabetes and Air Pollution Collaborators 

PROVIDER: S-EPMC9278144 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature