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

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Abstract

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/m3 increases in ambient air pollutants were estimated from Poisson generalized additive models. Exposure to particulate matter < 10 μm (PM10) and sulfur dioxide (SO2) was associated with increased T2D incidence. The relative risks (RRs) of each increment in 10 μg/m3 of PM10 and SO2 were 1.62 (95% CI, 1.16–2.28) and 1.63 (95% CI, 1.12–2.38) for overall participants, whereas for ozone (O3) 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 PM10 and SO2 is positively associated with T2D incidence, whereas O3 is negatively associated with T2D incidence.

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Funding

The study is supported by grants from National Natural Science Foundation of China (81402745); Natural Science Foundation of Zhejiang Province (LY17H260002); K. C. Wong Magna Fund in Ningbo University; the Ministry of Education, Humanities, and Social Sciences project (14YJC630046); China Postdoctoral Science Foundation funded project (156458); Jiangsu Postdoctoral Science Foundation funded project (1601121B); Ningbo University Scientific Research Fund (XKL14D2098); National Natural Science Foundation of Ningbo (2017A610219); and Ningbo Scientific Innovation Team for Environmental Hazardous Factor Control and Prevention (2016C51001).

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Correspondence to Dingyun You.

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Hui Li and Donghui Duan are co-first authors.

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Li, H., Duan, D., Xu, J. et al. Ambient air pollution and risk of type 2 diabetes in the Chinese. Environ Sci Pollut Res 26, 16261–16273 (2019). https://doi.org/10.1007/s11356-019-04971-z

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