Long-term exposure to particulate matter, NO2 and the oxidative potential of particulates and diabetes prevalence in a large national health survey. (November 2017)

• Record Type: Journal Article
• Authors: Strak, Maciej; Janssen, Nicole; Beelen, Rob; Schmitz, Oliver; Vaartjes, Ilonca; Karssenberg, Derek; van den Brink, Carolien; Bots, Michiel L.; Dijst, Martin; Brunekreef, Bert; Hoek, Gerard
• Is Part Of: Environment international. Volume 108(2017)
• Page Start: 228
• Page End: 236
• Publication Date: 2017-11
• Subjects: Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2017.08.017
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: 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 (PM10, PM2.5, PM10 − 2.5, PM2.5 absorbance, OP DTT, OP ESR and NO2 ) 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. Results: After adjustment for potential confounders, all pollutants (except PM2.5 ) were associated with diabetes prevalence. In two-pollutant models, NO2 and OP DTT remained associated with increased diabetes prevalence. For NO2 and OP DTT, 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. 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 NO2 and oxidative potential of PM2.5 measured by the DTT assay. The finding of an association with the oxidative potential of fine particles but not with PM2.5, suggests that particle composition may be important for a potential effect on diabetes. Highlights: Air pollution was associated with diabetes prevalence in a large Dutch health survey. Most consistent associations were observed for NO2 and oxidative potential of PM2.5 . We found no evidence that associations were stronger in women than in men We found stronger associations in physically active subjects. Particle composition may play an important role in the potential effects on diabetes.