Suppr超能文献

教育程度与 2 型糖尿病之间关联的中介物:两步多变量孟德尔随机化研究。

Mediators of the association between educational attainment and type 2 diabetes mellitus: a two-step multivariable Mendelian randomisation study.

机构信息

Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China.

出版信息

Diabetologia. 2022 Aug;65(8):1364-1374. doi: 10.1007/s00125-022-05705-6. Epub 2022 Apr 28.

Abstract

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.

METHODS

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.

RESULTS

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.

摘要

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。

方法

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。

结果

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0d9/9283137/8dff67c54c44/125_2022_5705_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验