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Long-term exposure to ambient fine particulate matter (PM2.5) and incident type 2 diabetes: a longitudinal cohort study.

Authors :
Lao, Xiang Qian
Guo, Cui
Chang, Ly-yun
Bo, Yacong
Zhang, Zilong
Chuang, Yuan Chieh
Jiang, Wun Kai
Lin, Changqing
Tam, Tony
Lau, Alexis K. H.
Lin, Chuan-Yao
Chan, Ta-Chien
Source :
Diabetologia; May2019, Vol. 62 Issue 5, p759-769, 11p, 3 Charts, 2 Graphs
Publication Year :
2019

Abstract

Aims/hypothesis: Information on the associations of long-term exposure to fine particulate matter (with an aerodynamic diameter less than 2.5 μm; PM<subscript>2.5</subscript>) with the development of type 2 diabetes is scarce, especially for south-east Asia, where most countries are experiencing serious air pollution. This study aimed to investigate the long-term effects of exposure to ambient PM<subscript>2.5</subscript> on the incidence of type 2 diabetes in a population of Taiwanese adults. Methods: A total of 147,908 participants without diabetes, at least 18 years of age, were recruited in a standard medical examination programme between 2001 and 2014. They were encouraged to take medical examinations periodically and underwent at least two measurements of fasting plasma glucose (FPG). Incident type 2 diabetes was identified as FPG ≥7 mmol/l or self-reported physician-diagnosed diabetes in the subsequent medical visits. The PM<subscript>2.5</subscript> concentration at each participant's address was estimated using a satellite-based spatiotemporal model with a resolution of 1 × 1 km<superscript>2</superscript>. The 2 year average of PM<subscript>2.5</subscript> concentrations (i.e. the year of and the year before the medical examination) was treated as an indicator of long-term exposure to ambient PM<subscript>2.5</subscript> air pollution. We performed Cox regression models with time-dependent covariates to analyse the long-term effects of exposure to PM<subscript>2.5</subscript> on the incidence of type 2 diabetes. A wide range of covariates were introduced in the models to control for potential effects, including age, sex, education, season, year, smoking status, alcohol drinking, physical activity, vegetable intake, fruit intake, occupational exposure, BMI, hypertension and dyslipidaemia (all were treated as time-dependent covariates except for sex). Results: Compared with the participants exposed to the first quartile of ambient PM<subscript>2.5</subscript>, participants exposed to the second, third and fourth quartiles of ambient PM<subscript>2.5</subscript> had HRs of 1.28 (95% CI 1.18, 1.39), 1.27 (95% CI 1.17, 1.38) and 1.16 (95% CI 1.07, 1.26), respectively, for the incidence of type 2 diabetes. Participants who drank occasionally or regularly (more than once per week) or who had a lower BMI (<23 kg/m<superscript>2</superscript>) were more sensitive to the long-term effects of exposure to ambient PM<subscript>2.5</subscript>. Conclusions/interpretation: Long-term exposure to ambient PM<subscript>2.5</subscript> appears to be associated with a higher risk of developing type 2 diabetes in this Asian population experiencing high levels of air pollution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0012186X
Volume :
62
Issue :
5
Database :
Complementary Index
Journal :
Diabetologia
Publication Type :
Academic Journal
Accession number :
135780273
Full Text :
https://doi.org/10.1007/s00125-019-4825-1