Long-term exposure to particulate matter, NO2 and the oxidative potential of particulates and diabetes prevalence in a large national health survey

Sep 9, 2017Environment international

Long-term exposure to air pollution and particle-driven oxidation linked to diabetes rates in a large national health survey

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Abstract

Among 289,703 adults, long-term exposure to air pollutants is associated with diabetes prevalence, with odds ratios for nitrogen dioxide and oxidative potential of fine particles at 1.07 and 1.08, respectively.

All measured air pollutants, except fine particulate matter (PM), were linked to increased diabetes prevalence.
Nitrogen dioxide (NO2) and oxidative potential (OP) showed consistent associations with diabetes in two-pollutant models.
For NO2 and OP, odds ratios per interquartile range were 1.07 and 1.08, indicating a potential increase in diabetes risk with higher exposure.
Stratified analysis did not reveal consistent modifications by known diabetes risk factors such as socio-economic status or lifestyle choices.
The lack of association with PM suggests that the composition of air pollutants might be significant in relation to diabetes risk.

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BACKGROUND: The evidence from observational epidemiological studies of a link between long-term air pollution exposure and diabetes prevalence and incidence is currently mixed. Some studies found the strongest associations of diabetes with fine particles, other studies with nitrogen dioxide and some studies found no associations.

OBJECTIVES: Our aim was to investigate associations between long-term exposure to multiple air pollutants and diabetes prevalence in a large national survey in the Netherlands.

METHODS: We performed a cross-sectional analysis using the 2012 Dutch national health survey to investigate the associations between the 2009 annual average concentrations of multiple air pollutants (PM, PM, PM, PMabsorbance, OP, OPand NO) and diabetes prevalence, among 289,703 adults. Air pollution exposure was assessed by land use regression models. Diabetes was defined based on a combined measure of self-reported physician diagnosis and medication prescription from an external database. Using logistic regression, we adjusted for potential confounders, including neighborhood- and individual socio-economic status and lifestyle-related risk factors such as smoking habits, alcohol consumption, physical activity and BMI. 10 2.5 10-2.5 2.5 2DTT ESR

RESULTS: After adjustment for potential confounders, all pollutants (except PM) were associated with diabetes prevalence. In two-pollutant models, NOand OPremained associated with increased diabetes prevalence. For NOand OP, single-pollutant ORs per interquartile range were 1.07 (95% CI: 1.05, 1.09) and 1.08 (95% CI: 1.05, 1.10), respectively. Stratified analysis showed no consistent effect modification by any of the included known diabetes risk factors. 2.5 2 2DTT DTT

CONCLUSIONS: Long-term residential air pollution exposure was associated with diabetes prevalence in a large health survey in the Netherlands, strengthening the evidence of air pollution being an important diabetes risk factor. Most consistent associations were observed for NOand oxidative potential of PMmeasured by the DTT assay. The finding of an association with the oxidative potential of fine particles but not with PM, suggests that particle composition may be important for a potential effect on diabetes. 2 2.5 2.5

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Long-term exposure to particulate matter, NO2 and the oxidative potential of particulates and diabetes prevalence in a large national health survey

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