Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort - BMC Medicine

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Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort - BMC Medicine
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A study published in BMCMedicine reports that ambient air pollution exposure may contribute to increased risk of incidence and progressions of type 2 diabetes.

In this study, we observed some notable evidence for effect modification. Our results found stronger associations between air pollution exposure and incidence of T2D among participants residing in a rural area, consistent with previous findings [

]. This may be associated with some specific community types, such as healthy food access and the construction of primary health care. Although ambient air pollution is considered as a leading risk factor for diabetic morbidity and mortality [], this cannot reflect the association on the dynamic progression. Our findings provide evidence that ambient air pollution, including particulate matter and nitrogen oxides, is associated with both the incidence and the subsequent progressions of T2D. This suggests ambient air pollution may contribute to both the long-term progression of T2D and the mortality risk of existing disease.

The major strengths of our study were a large population-based cohort and the detailed information on socioeconomic, behavioral, and clinical profile data in the UK Biobank, which enabled us to structure a multi-state model of T2D development and to control for potential confounding factors. Compared with traditional Cox regression models, we used the multi-state model to distinguish the impacts of air pollution on the five transition phases.

Our study had some limitations. The participants in the UK Biobank were healthy-volunteer. Second, the outcome identification relied on the ICD-10 codes, and some of the complications are not specific to T2D. The identification of diabetes complications may be open to potential misclassification. Third, some participants were simultaneously diagnosed with diabetes and its complications, which can also lead to outcome misclassification.

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