The effects of long-term ambient air pollutant mixture exposure on incident diabetes: A prospective cohort study in China.

BACKGROUND

Although an increasing number of studies have shown air pollution exposure is associated with diabetes, the potential causal effects of air pollutants on incident diabetes and the joint effects of air pollutant mixtures remain unclear.

METHODS

We conducted a prospective cohort study that included 25,801 adults based on Chronic Disease of the Community Natural Population in the Beijing-Tianjin-Hebei region. Three-year mean concentrations of air pollutants (PM, PM, PM, and NO) and PM components (ammonium [NH], nitrate [NO], sulfate [SO], and chloride ion [Cl]) were obtained from China High Air Pollutants database. Targeted maximum likelihood estimation was used to estimate potential causal relationships between long-term air pollution exposure and diabetes incidence. The joint effects of air pollutant mixtures on diabetes and the contribution of each pollutant were assessed using Quantile G-computation.

RESULTS

In single-pollutant models, moderate and high concentrations of PM, PM, PM, NO, NH, NO, SO, and Cl exposure were significantly associated with diabetes risk compared with low concentrations of air pollutants. In multi-pollutant models, the joint effect of air pollutant mixture (PM, PM, PM, and NO) on diabetes was 1.006 (1.004, 1.009). After replacing PM with PM components in the mixture, the effect estimates remained robust at 1.015 (1.008, 1.021), and the positive effect was driven primarily by NH at 43.66 %, followed by NO at 39.20 %.

CONCLUSIONS

Our results revealed relationships between long-term air pollutant exposure and incident diabetes. Furthermore, NH and NO might be strong contributors. These findings support targeted air quality interventions to reduce diabetes risk.