Abstract Title:

Ambient air pollution and risk of type 2 diabetes in the Chinese.

Abstract Source:

Environ Sci Pollut Res Int. 2019 Jun ;26(16):16261-16273. Epub 2019 Apr 11. PMID: 30977004

Abstract Author(s):

Hui Li, Donghui Duan, Jiaying Xu, Xiaoqi Feng, Thomas Astell-Burt, Tianfeng He, Guodong Xu, Jinshun Zhao, Lina Zhang, Dingyun You, Liyuan Han

Article Affiliation:

Hui Li


We performed a time series analysis to investigate the potential association between exposure to ambient air pollution and type 2 diabetes (T2D) incidence in the Chinese population. Monthly time series data between 2008 and 2015 on ambient air pollutants and incident T2D (N = 25,130) were obtained from the Environment Monitoring Center of Ningbo and the Chronic Disease Surveillance System of Ningbo. Relative risks (RRs) and 95% confidence intervals (95% CIs) of incident T2D per 10 μg/mincreases in ambient air pollutants were estimated from Poisson generalized additive models. Exposure to particulate matter< 10 μm (PM) and sulfur dioxide (SO) was associated with increased T2D incidence. The relative risks (RRs) of each increment in 10 μg/mof PMand SOwere 1.62 (95% CI, 1.16-2.28) and 1.63 (95% CI, 1.12-2.38) for overall participants, whereas for ozone (O) exposure, the RRs were 0.78 (95% CI, 0.68-0.90) for overall participants, 0.78 (95% CI, 0.69-0.90) for males, and 0.78 (95% CI, 0.67-0.91) for females, respectively. Exposure to PMand SOis positively associated with T2D incidence, whereas Ois negatively associated with T2D incidence.

Study Type : Human Study

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