CHU Lille, Epidemiology, Health Economics and Prevention Service, F-59000 Lille, France.
Inserm UMR1167 - RID-AGE Risk Factors and Molecular Determinants of Aging-related Diseases, Institut Pasteur de Lille, Université de Lille, Lille, France.
Environ Int. 2018 Nov;120:121-129. doi: 10.1016/j.envint.2018.07.034. Epub 2018 Aug 2.
A growing body of evidence suggests that long-term exposure to air pollutants like nitrogen oxides (NO) and particulate matter (PM) is associated with the prevalence and incidence of type 2 diabetes mellitus. Serum glucose and glycosylated hemoglobin (HbA1c) levels are biomarkers of glucose homeostasis. Data on the association between glucose homeostasis biomarkers and air pollution are scarce. HbA1c and fasting blood glucose (FBG) concentrations have been linked to PM and NO exposure in Taiwan, where mean pollution levels are 3 to 7 times higher than the guideline maximum annual mean values of 40 μg/m (for NO) and 20 μg/m (for PM10) set by the World Health Organization (WHO). However, this association is not consistently reported at lower levels of pollution. The objective of the present study was to investigate the relationships between long-term exposure to air pollution at the place of residence, diabetes biomarkers, and prevalent diabetes in two cities with relatively low level of pollution.
Data were recorded for 2895 adults (aged 40 to 65) having participated in the 2011-2013 ELISABET cross-sectional survey of the Lille and Dunkirk urban areas in northern France. Using multiple logistic and generalized linear regression models, we analyzed the associations between individual exposure to pollution on one hand and HbA1c, FBG and prevalent diabetes mellitus (DM) on the other. An atmospheric dispersion modelling system was used to assess annual exposure at the place of residence to coarse particulate matter (PM10), NO, and sulfur dioxide (SO).
The median pollutant levels were 21.96 μg/m for NO, 26.75 μg/m for PM10, and 3.07 μg/m for SO. A 2 μg/m increment in PM10 was associated with an HbA1c increment [95% confidence interval] of 0.044% [0.021; 0.067]. This association was still statistically significant after adjustment for the neighborhood's characteristics. A 5 μg/m increment in NO was associated with an HbA1c increment of 0.031% [0.010; 0.053]. Associations between DM or FBG and air pollution did not achieve statistical significance.
Our study of a middle-aged, urban population evidenced an association between elevated HbA1c levels and long-term exposure to PM10 and NO pollution levels that were relatively low but close to the WHO's guideline maximum values.
越来越多的证据表明,长期暴露于氮氧化物(NO)和颗粒物(PM)等空气污染物与 2 型糖尿病的患病率和发病率有关。血清葡萄糖和糖化血红蛋白(HbA1c)水平是葡萄糖稳态的生物标志物。关于葡萄糖稳态生物标志物与空气污染之间关系的数据很少。在台湾,空气污染水平较高,PM 和 NO 的平均浓度分别为世界卫生组织(WHO)规定的 40μg/m(NO)和 20μg/m(PM10)的年平均最高指导值的 3 至 7 倍,HbA1c 和空腹血糖(FBG)浓度与 PM 和 NO 暴露有关。然而,在较低的污染水平下,这种关联并不一致。本研究的目的是调查在两个污染水平相对较低的城市,居住地长期暴露于空气污染、糖尿病生物标志物与糖尿病患病率之间的关系。
本研究记录了参加法国北部里尔和敦刻尔克城市 2011-2013 年 ELISABET 横断面研究的 2895 名 40-65 岁成年人的数据。我们使用多逻辑回归和广义线性回归模型,分析了一方面个体对污染的暴露与 HbA1c、FBG 和糖尿病患病率之间的关系。大气扩散建模系统用于评估居住地对粗颗粒物(PM10)、NO 和二氧化硫(SO)的年暴露情况。
污染物中位数水平分别为:NO 为 21.96μg/m,PM10 为 26.75μg/m,SO 为 3.07μg/m。PM10 增加 2μg/m,HbA1c 增加 0.044%(95%置信区间:0.021%;0.067%)。调整邻里特征后,这种关联仍然具有统计学意义。NO 增加 5μg/m,HbA1c 增加 0.031%(95%置信区间:0.010%;0.053%)。空气污染与糖尿病或 FBG 之间的关联没有达到统计学意义。
我们对中年城市人群的研究表明,HbA1c 水平升高与 PM10 和 NO 污染水平长期暴露之间存在关联,这些污染水平相对较低,但接近世卫组织的指导值最高值。