Impact of long-term air pollution exposure on metabolic control in children and adolescents with type 1 diabetes: results from the DPV registry.

AIMS/HYPOTHESIS: Studies on the association between air pollution and metabolic control in children and adolescents with type 1 diabetes are rare and findings are inconsistent. We examined the relationship between air pollution variables (particulate matter with an aerodynamic diameter <10 μm [PM], NO and accumulated ozone exposure [O-AOT]) and metabolic variables (HbA and daily insulin dose [U/kg body weight]) in children and adolescents with type 1 diabetes.

METHODS

We investigated 37,372 individuals with type 1 diabetes aged <21 years, documented between 2009 and 2014 in 344 German centres of the prospective diabetes follow-up registry (Diabetes-Patienten-Verlaufsdokumentation [DPV]). Long-term air pollution exposure (annual and quinquennial means) data were linked to participants via the five-digit postcode areas of residency. Cross-sectional multivariable regression analysis was used to examine the association between air pollution and metabolic control.

RESULTS

After comprehensive adjustment, an interquartile range increase in O-AOT was associated with a lower HbA (-3.7% [95% CI -4.4, -3.0]). The inverse association between O-AOT and HbA persisted after additional adjustment for degree of urbanisation or additional adjustment for PM. Moreover, the inverse association remained stable in further sensitivity analyses. No significant associations between HbA and PM or NO were found. No association was observed between any of the three air pollutants and insulin dose.

CONCLUSIONS/INTERPRETATION: The inverse association between O-AOT and HbA could not be explained by regional differences in diabetes treatment or by other differences between urban and rural areas. Furthermore, our results remained stable in sensitivity analyses. Further studies on the association between air pollution and HbA in children and adolescents with type 1 diabetes are needed to confirm our observed association and to elucidate underlying mechanisms.