Honda Trenton, Pun Vivian C, Manjourides Justin, Suh Helen
Department of Health Sciences, Northeastern University, 202 Robinson Hall, 360 Huntington Ave., Boston, MA, 02115, United States.
Department of Health Sciences, Northeastern University, 202 Robinson Hall, 360 Huntington Ave., Boston, MA, 02115, United States.
Int J Hyg Environ Health. 2017 Oct;220(7):1124-1132. doi: 10.1016/j.ijheh.2017.06.004. Epub 2017 Jun 26.
Air pollution exposures have been shown to adversely impact health through a number of biological pathways associated with glucose metabolism. However, few studies have evaluated the associations between air pollution and glycosylated hemoglobin (HbA1c) levels. Further, no studies have evaluated these associations in US populations or investigated whether associations differ in diabetic as compared to non-diabetic populations. To address this knowledge gap, we investigated the associations between airborne fine particulate matter (PM) and nitrogen dioxide (NO) and HbA1c levels in both diabetic and non-diabetic older Americans. We also examined the impact of PM and NO on prevalent diabetes mellitus (DM) in this cohort.
We used multilevel logistic and linear regression models to evaluate the association between long-term average air pollutant levels and prevalence of DM and HbA1c levels, respectively, among 4121 older (57+ years) Americans enrolled in the National Social Life, Health, and Aging Project between 2005 and 2011. All models adjusted for age, sex, body mass index, smoking status, race, household income, education level, neighborhood socioeconomic status, geographic region, urbanicity and diabetic medication use. We estimated participant-specific exposures to PM on a six-kilometer grid covering the conterminous U.S. using spatio-temporal models, and to NO using nearest measurements from the Environmental Protection Agency's Air Quality System. HbA1c levels were measured for participants in each of two data collection waves from dried blood spots and log-transformed prior to analysis. Participants were considered diabetic if they had HbA1c values≥6.5% or reported taking diabetic medication.
The prevalence of diabetes at study entry was 22.2% (n=916) and the mean HbA1c was 6.0±1.1%. Mean one-year moving average PM and NO exposures were 10.4±3.0μg/m and 13.1±7.0 ppb, respectively. An inter-quartile range (IQR, 3.9μg/m) increase in one-year moving average PM was positively associated with increased diabetes prevalence (prevalence odds ratio, POR 1.35, 95% CI: 1.19, 1.53). Similarly, an IQR (8.6 ppb) increase in NO was also significantly associated with diabetes prevalence (POR 1.27, 95% CI: 1.10, 1.48). PM (1.8%±0.6%, p<0.01) and NO (2.0%±0.7%, p<0.01) exposures were associated with higher HbA1c levels in diabetic participants, while only NO was significantly associated with HbA1c in non-diabetic participants (0.8%±0.2%, p<0.01). Significant dose response relationships were identified for both pollutants in diabetic participants and for NO in non-diabetic participants.
CONCLUSIONS/INTERPRETATIONS: In a cohort of older men and women in the United States, PM and NO exposures were significantly associated with prevalence of DM and increased HbA1c levels among both non-diabetic and diabetic participants. These associations suggest that air pollution could be a key risk factor for abnormal glucose metabolism and diabetes in the elderly.
空气污染暴露已被证明可通过多种与葡萄糖代谢相关的生物学途径对健康产生不利影响。然而,很少有研究评估空气污染与糖化血红蛋白(HbA1c)水平之间的关联。此外,尚无研究在美国人群中评估这些关联,也未调查糖尿病患者与非糖尿病患者之间的关联是否存在差异。为填补这一知识空白,我们调查了美国老年糖尿病患者和非糖尿病患者空气中细颗粒物(PM)和二氧化氮(NO)与HbA1c水平之间的关联。我们还研究了PM和NO对该队列中糖尿病(DM)患病率的影响。
我们使用多级逻辑回归和线性回归模型,分别评估了2005年至2011年参加国家社会生活、健康与老龄化项目的4121名年龄较大(57岁及以上)美国人中,长期平均空气污染物水平与DM患病率及HbA1c水平之间的关联。所有模型均对年龄、性别、体重指数、吸烟状况、种族、家庭收入、教育水平、邻里社会经济地位、地理区域、城市化程度和糖尿病用药情况进行了调整。我们使用时空模型估计了参与者在覆盖美国本土的6公里网格上的PM暴露量,并使用美国环境保护局空气质量系统的最近测量值估计了NO暴露量。在两次数据收集浪潮中,对每位参与者的干血斑进行HbA1c水平测量,并在分析前进行对数转换。如果参与者的HbA1c值≥6.5%或报告正在服用糖尿病药物,则被视为糖尿病患者。
研究开始时糖尿病患病率为22.2%(n = 916),平均HbA1c为6.0±1.1%。一年移动平均PM和NO暴露量分别为10.4±3.0μg/m和13.1±7.0 ppb。一年移动平均PM增加一个四分位间距(IQR,3.9μg/m)与糖尿病患病率增加呈正相关(患病率比值比,POR 1.35,95%置信区间:1.19,1.53)。同样,NO增加一个IQR(8.6 ppb)也与糖尿病患病率显著相关(POR 1.27,95%置信区间:1.10,1.48)。PM(1.8%±0.6%,p<0.01)和NO(2.0%±0.7%,p<0.01)暴露与糖尿病患者较高的HbA1c水平相关,而在非糖尿病患者中,只有NO与HbA1c显著相关(0.8%±0.2%,p<0.01)。在糖尿病患者中,两种污染物均发现有显著的剂量反应关系,在非糖尿病患者中,NO有显著剂量反应关系。
结论/解读:在美国老年男性和女性队列中,PM和NO暴露与非糖尿病和糖尿病参与者的DM患病率及HbA1c水平升高显著相关。这些关联表明,空气污染可能是老年人葡萄糖代谢异常和糖尿病的关键危险因素。