Sardar Patel Medical College, Bikaner.
J Assoc Physicians India. 2022 Apr;70(4):11-12.
Air pollution exposure have been shown to adversely impact health through a number of biological pathways, and is also associated with glucose metabolism. There are few studies that evaluated the associations between air pollution and fasting blood sugar and HbA1C levels. But no such study occurred in Indian population. Hence to address this knowledge gap, we investigated the associations between air borne fine particulate matter (PM10, PM2.5), nitrogen di-oxide and glucose metabolism in a tertiary care center in north western rajasthan.
We performed cross-sectional analysis in 3457 participants between 30 to 70 years of age group from five different urban and rural areas of Bikaner district. Air pollution concentration of multiple air pollutants (PM10, PM2.5andNitogen dioxide) were estimated by ambient air quality standard method by respiratory dust sampler. Diabetes was defined based on self reported diagnosis, medication prescription, oral glucose tolerance test and HbA1C. We adjusted for potential confounders including socio-economic status, smoking habits, alcohol consumtion, physical activity and Body Mass Index (BMI) by using logistic regression method.
After adjustment for potential confounders, air pollutants PM10, NO2, except PM2.5 were associated with diabetes prevalence. The prevalence of diabetes was 8.93% and the mean HbA1C was 8.67±1.16, where as the concentration of PM10 was 156.12 mcg/m3, NO2 was 5.43 mcg/m3 and PM2.5 was 25.36 mcg/m3. The prevalence of IFG, IGT and diabetes increases with increased concentration of air pollutants. By applying Pearson's co-relation for air pollutants the 'r' value of PM10was 0.163, p value < 0.001, for PM2.5 'r' value was 0.001 and p value 0.965, for NO2 'r' value was 0.149 and p value was 0.001 respectively. By applying step wise logistic regression analysis, air pollutants PM10 (Odd Ratio 0.002, 95% CI 0.002;0.003) and by adding duration of exposure to air pollutants (Odd ratio 0.003,95%CI 0.001,0.005) by adding PM2.5 air pollutant (odd ratio 0.028,95%CI -0.042,-0.015) and by adding NO2 (odd ratio 0.140,95% CI 0.104,0.175).
long term air pollution exposure was associated with impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and prevalence of diabetes mellitus (DM). This study can be used as a good evidence that air pollution is an important and manageable risk factor for diabetes hence awareness about air pollution in the society and at government level is much needed.
评估空气中细颗粒物(PM10、PM2.5)、二氧化氮与血糖代谢之间的关联。
我们对来自比卡内尔区 5 个不同城乡地区的 3457 名 30 至 70 岁的参与者进行了横断面分析。通过呼吸性粉尘采样器,根据环境空气质量标准方法估算了多种空气污染物(PM10、PM2.5 和二氧化氮)的浓度。糖尿病的定义基于自我报告的诊断、药物处方、口服葡萄糖耐量试验和 HbA1C。我们通过使用逻辑回归方法,针对包括社会经济地位、吸烟习惯、酒精摄入、身体活动和体重指数(BMI)在内的潜在混杂因素进行了调整。
在调整了潜在混杂因素后,PM10、NO2(PM2.5 除外)等空气污染物与糖尿病的患病率有关。糖尿病的患病率为 8.93%,平均 HbA1C 为 8.67±1.16,而 PM10 的浓度为 156.12μg/m3,NO2 为 5.43μg/m3,PM2.5 为 25.36μg/m3。IFG、IGT 和糖尿病的患病率随着空气污染物浓度的增加而增加。通过应用 Pearson 相关系数对空气污染物进行分析,PM10 的 r 值为 0.163,p 值<0.001,PM2.5 的 r 值为 0.001,p 值为 0.965,NO2 的 r 值为 0.149,p 值为 0.001。通过逐步逻辑回归分析,PM10 空气污染物(比值比 0.002,95%CI 0.002;0.003)和接触空气污染物的持续时间(比值比 0.003,95%CI 0.001,0.005)、PM2.5 空气污染物(比值比 0.028,95%CI -0.042,-0.015)和 NO2(比值比 0.140,95%CI 0.104,0.175)。
长期接触空气污染与空腹血糖受损(IFG)、葡萄糖耐量受损(IGT)和糖尿病患病率有关。这项研究可以作为一个很好的证据,证明空气污染是糖尿病的一个重要且可管理的危险因素,因此,社会和政府层面都需要提高对空气污染的认识。