National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
J Hazard Mater. 2023 Oct 15;460:132412. doi: 10.1016/j.jhazmat.2023.132412. Epub 2023 Aug 25.
The associations between air pollution and diabetes mortality of different subtypes and complications were largely unclear. We performed an individual-level, time-stratified case-crossover study among over 0.9 million diabetes deaths from all administrative regions of Chinese mainland during 2013-2019. Daily concentrations of fine particles (PM), coarse particles (PM), nitrogen dioxide (NO) and ozone (O) were obtained for each decedent using high-resolution prediction models. Conditional logistic regression models were utilized to analyze the data. Each interquartile range increment in PM, PM, NO and O concentrations on lag 0-2 d increased the risks of overall diabetes mortality by 2.81 %, 1.92 %, 3.96 % and 2.15 %, respectively. Type 2 diabetes had stronger associations with air pollution than type 1 diabetes. Air pollutants were associated with diabetic ketoacidosis and diabetic nephropathy, but not other complications. The exposure-response curves were approximately linear with a plateau at higher concentrations of PM, PM, and NO, while the associations for O appear to be statistically significant beyond 60 μg/m. This nationwide study reinforces the evidence of higher risks of acute diabetic events following short-term air pollution exposure. We identified differential effects of air pollutants on various subtypes and complications of diabetes, which require further mechanistic investigations.
空气污染与不同亚型和并发症的糖尿病死亡率之间的关联在很大程度上尚不清楚。我们在 2013 年至 2019 年期间,对来自中国大陆所有行政区域的超过 90 万例糖尿病死亡患者进行了个体水平、时间分层病例交叉研究。使用高分辨率预测模型为每位死者获得了细颗粒物(PM)、粗颗粒物(PM)、二氧化氮(NO)和臭氧(O)的每日浓度。利用条件逻辑回归模型分析数据。滞后 0-2 天内 PM、PM、NO 和 O 浓度每增加一个四分位间距,总体糖尿病死亡率的风险分别增加 2.81%、1.92%、3.96%和 2.15%。2 型糖尿病与空气污染的关联强于 1 型糖尿病。空气污染物与糖尿病酮症酸中毒和糖尿病肾病有关,但与其他并发症无关。暴露-反应曲线呈近似线性,在 PM、PM 和 NO 的较高浓度处出现平台,而 O 的关联似乎在 60μg/m 以上时具有统计学意义。这项全国性研究强化了短期空气污染暴露后急性糖尿病事件风险增加的证据。我们确定了空气污染物对糖尿病不同亚型和并发症的差异影响,这需要进一步的机制研究。