Balti Eric V, Echouffo-Tcheugui Justin B, Yako Yandiswa Y, Kengne Andre P
Diabetes Research Center, Faculty of Medicine and Pharmacy, Brussels Free University, Brussels, Belgium.
Hubert Department of Global Health, Rollins School of Public Health, Emory University; Atlanta, GA, USA; MedStar Hospital System, Baltimore, MD, USA.
Diabetes Res Clin Pract. 2014 Nov;106(2):161-72. doi: 10.1016/j.diabres.2014.08.010. Epub 2014 Sep 10.
Whether exposure to relatively high levels of air pollution is associated with diabetes occurrence remains unclear. We sought to assess and quantify the association between exposure to major air pollutants and risk of type 2 diabetes.
PubMed and EMBASE databases (through September 2013) were searched using a combination of terms related to exposure to gaseous (NO2 and NOx) or particulate matter pollutants (PM2.5, PM10 and PM10-2.5) and type 2 diabetes. Descriptive and quantitative information were extracted from selected studies. We used random-effects models meta-analysis to derive overall risk estimates per type of pollutant.
We included ten studies (five cross-sectional and five prospective), assessing the effects of air pollutants on the occurrence of diabetes. In prospective investigations, the overall effect on diabetes occurrence was significant for both NO2 (adjusted hazard ratio [HR], 1.13; 95% confidence interval [95%CI], 1.01-1.22; p < 0.001; I(2) = 36.4%, pheterogeneity = 0.208) and PM2.5 (HR, 1.11; 95%CI, 1.03-1.20; p < 0.001; I(2) = 0.0%, pheterogeneity = 0.827). Odds ratios were reported by two cross-sectional studies which revealed similar associations between both NO2 and PM2.5 with type 2 diabetes. Across studies, risk estimates were generally adjusted for age, gender, body mass index and cigarette smoking.
Available evidence supports a prospective association of main air pollutants with an increased risk for type 2 diabetes. This finding may have implications for population-based strategies to reduce diabetes risk.
暴露于相对高水平的空气污染是否与糖尿病的发生相关仍不清楚。我们试图评估并量化主要空气污染物暴露与2型糖尿病风险之间的关联。
通过结合与气态污染物(二氧化氮和氮氧化物)或颗粒物污染物(细颗粒物、可吸入颗粒物和粗颗粒物)暴露以及2型糖尿病相关的术语,检索了PubMed和EMBASE数据库(截至2013年9月)。从选定的研究中提取描述性和定量信息。我们使用随机效应模型荟萃分析得出每种污染物类型的总体风险估计值。
我们纳入了10项研究(5项横断面研究和5项前瞻性研究),评估空气污染物对糖尿病发生的影响。在前瞻性调查中,二氧化氮(调整后的风险比[HR],1.13;95%置信区间[95%CI],1.01 - 1.22;p < 0.001;I(2)=36.4%,p异质性 = 0.208)和细颗粒物(HR,1.11;95%CI,1.03 - 1.20;p < 0.001;I(2)=0.0%,p异质性 = 0.827)对糖尿病发生的总体影响均显著。两项横断面研究报告了比值比,揭示了二氧化氮和细颗粒物与2型糖尿病之间类似的关联。在各项研究中,风险估计值一般针对年龄、性别、体重指数和吸烟情况进行了调整。
现有证据支持主要空气污染物与2型糖尿病风险增加之间存在前瞻性关联。这一发现可能对基于人群的降低糖尿病风险策略具有启示意义。