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

Environ Sci Pollut Res Int. 2019 Jun;26(16):16261-16273. doi: 10.1007/s11356-019-04971-z. Epub 2019 Apr 11.

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.

Keywords: Ambient air pollutants; Incidence; Type 2 diabetes.

MeSH terms

  • Adult
  • Air Pollutants / analysis
  • Air Pollution / adverse effects*
  • Air Pollution / analysis
  • China / epidemiology
  • Cities
  • Confidence Intervals
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / etiology*
  • Environmental Monitoring
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Ozone / analysis
  • Ozone / toxicity
  • Particulate Matter / analysis
  • Sulfur Dioxide / analysis
  • Sulfur Dioxide / toxicity

Substances

  • Air Pollutants
  • Particulate Matter
  • Sulfur Dioxide
  • Ozone