The 2016 global and national burden of diabetes mellitus attributable to PM 2·5 air pollution

作者：Benjamin Bowe, Yan Xie, Tingting Li, Yan Yan, Hong Xian, Ziyad Al‐Aly · 发表于：The Lancet Planetary Health · 年份：2018 · DOI：10.1016/s2542-5196(18)30140-2 · 被引用次数：377 · 研究领域：Air Quality and Health Impacts、Climate Change and Health Impacts、Energy and Environment Impacts

Background PM 2·5 air pollution is associated with increased risk of diabetes; however, a knowledge gap exists to further define and quantify the burden of diabetes attributable to PM 2·5 air pollution. Therefore, we aimed to define the relationship between PM 2·5 and diabetes. We also aimed to characterise an integrated exposure response function and to provide a quantitative estimate of the global and national burden of diabetes attributable to PM 2·5 . Methods We did a longitudinal cohort study of the association of PM 2·5 with diabetes. We built a cohort of US veterans with no previous history of diabetes from various databases. Participants were followed up for a median of 8·5 years, we and used survival models to examine the association between PM 2·5 and the risk of diabetes. All models were adjusted for sociodemographic and health characteristics. We tested a positive outcome control (ie, risk of all-cause mortality), negative exposure control (ie, ambient air sodium concentrations), and a negative outcome control (ie, risk of lower limb fracture). Data for the models were reported as hazard ratios (HRs) and 95% CIs. Additionally, we reviewed studies of PM 2·5 and the risk of diabetes, and used the estimates to build a non-linear integrated exposure response function to characterise the relationship across all concentrations of PM 2·5 exposure. We included studies into the building of the integrated exposure response function if they scored at least a four on the Newc...