Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China.
Diabetologia. 2022 Aug;65(8):1364-1374. doi: 10.1007/s00125-022-05705-6. Epub 2022 Apr 28.
AIMS/HYPOTHESIS: Type 2 diabetes mellitus is a major health burden disproportionately affecting those with lower educational attainment (EA). We aimed to obtain causal estimates of the association between EA and type 2 diabetes and to quantify mediating effects of known modifiable risk factors.
We applied two-step, two-sample multivariable Mendelian randomisation (MR) techniques using SNPs as genetic instruments for exposure and mediators, thereby minimising bias due to confounding and reverse causation. We leveraged summary data on genome-wide association studies for EA, proposed mediators (i.e. BMI, blood pressure, smoking, television watching) and type 2 diabetes. The total effect of EA on type 2 diabetes was decomposed into a direct effect and indirect effects through multiple mediators. Additionally, traditional mediation analysis was performed in a subset of the National Health and Nutrition Examination Survey 2013-2014.
EA was inversely associated with type 2 diabetes (OR 0.53 for each 4.2 years of schooling; 95% CI 0.49, 0.56). Individually, the largest contributors were BMI (51.18% mediation; 95% CI 46.39%, 55.98%) and television watching (50.79% mediation; 95% CI 19.42%, 82.15%). Combined, the mediators explained 83.93% (95% CI 70.51%, 96.78%) of the EA-type 2 diabetes association. Traditional analysis yielded smaller effects but showed consistent direction and priority ranking of mediators.
CONCLUSIONS/INTERPRETATION: These results support a potentially causal protective effect of EA against type 2 diabetes, with considerable mediation by a number of modifiable risk factors. Interventions on these factors thus have the potential of substantially reducing the burden of type 2 diabetes attributable to low EA.
目的/假设:2 型糖尿病是一个主要的健康负担,不成比例地影响那些受教育程度较低的人群。我们旨在获得教育程度与 2 型糖尿病之间的关联的因果估计,并量化已知可改变的风险因素的中介效应。
我们应用两步、两样本多变量孟德尔随机化(MR)技术,使用 SNP 作为暴露和中介的遗传工具,从而最大限度地减少因混杂和反向因果关系引起的偏倚。我们利用了关于教育程度、提议的中介因素(即 BMI、血压、吸烟、看电视)和 2 型糖尿病的全基因组关联研究的汇总数据。教育程度对 2 型糖尿病的总效应被分解为直接效应和通过多个中介的间接效应。此外,在 2013-2014 年全国健康和营养调查的一个子集中进行了传统的中介分析。
教育程度与 2 型糖尿病呈负相关(每增加 4.2 年学校教育,OR 为 0.53;95%CI 为 0.49,0.56)。单独来看,最大的贡献因素是 BMI(51.18%的中介作用;95%CI 为 46.39%,55.98%)和看电视(50.79%的中介作用;95%CI 为 19.42%,82.15%)。综合来看,中介因素解释了教育程度与 2 型糖尿病关联的 83.93%(95%CI 为 70.51%,96.78%)。传统分析得出的影响较小,但显示了中介因素的方向和优先级一致。
结论/解释:这些结果支持了教育程度对 2 型糖尿病的潜在保护作用,且许多可改变的风险因素具有相当大的中介作用。因此,针对这些因素的干预有可能显著降低因教育程度低而导致的 2 型糖尿病负担。