Department of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao, 56000, Thailand.
Unit of Excellence On Research in Health Outcomes and Patient Safety in Elderly (U-R-HOPE), School of Pharmaceutical Sciences, University of Phayao, Phayao, 56000, Thailand.
Acta Diabetol. 2022 Jan;59(1):127-135. doi: 10.1007/s00592-021-01795-7. Epub 2021 Sep 12.
BACKGROUND AND OBJECTIVE: Education might be causal to type 2 diabetes mellitus (T2DM). We triangulated cohort and genetic evidence to consolidate the causality between education and T2DM.
We obtained observational evidence from the English Longitudinal Study of Ageing (ELSA). Self-reporting educational attainment was categorised as high (post-secondary and higher), middle (secondary), and low (below secondary or no academic qualifications) in 6,786 community-dwelling individuals aged ≥ 50 years without diabetes at ELSA wave 2, who were followed until wave 8 for the first diabetes diagnosis. Additionally, we performed two-sample Mendelian randomisation (MR) using an inverse-variance weighted (IVW), MR-Egger, weighted median (WM), and weighted mode-based estimate (WMBE) method. Steiger filtering was further applied to exclude single-nucleotide polymorphisms (SNPs) that were correlated with an outcome (T2DM) stronger than exposure (education attainment).
We observed 598 new diabetes cases after 10.4 years of follow-up. The adjusted hazard ratios (95% CI) of T2DM were 1.20 (0.97-1.49) and 1.58 (1.28-1.96) in the middle- and low-education groups, respectively, compared to the high-education group. Low education was also associated with increased glycated haemoglobin levels. Psychosocial resources, occupation, and health behaviours fully explained these inverse associations. In the MR analysis of 210 SNPs (R = 0.0161), the odds ratio of having T2DM per standard deviation-decreasing years (4.2 years) of schooling was 1.33 (1.01-1.75; IVW), 1.23 (0.37-4.17; MR-Egger), 1.56 (1.09-2.27; WM), and 2.94 (0.98-9.09; WMBE). However, applying Steiger filtering attenuated most MR results towards the null.
Our inconsistent findings between cohort and genetic evidence did not support the causality between education and T2DM.
教育可能是 2 型糖尿病(T2DM)的病因。我们通过队列研究和遗传证据的三角分析来确定教育与 T2DM 之间的因果关系。
我们从英国老龄化纵向研究(ELSA)中获得了观察性证据。在没有糖尿病的 6786 名年龄在 50 岁及以上的社区居住者中,根据自我报告的教育程度,将其分为高(中学后及以上)、中(中学)和低(中学以下或无学历)组。在 ELSA 波 2 时进行评估,随后对这些人进行了 8 年的随访,以首次诊断为糖尿病。此外,我们使用逆方差加权(IVW)、MR-Egger、加权中位数(WM)和加权模态估计(WMBE)方法进行了两样本 Mendelian 随机化(MR)。Steiger 过滤法进一步用于排除与结局(T2DM)相关性强于暴露(教育程度)的单核苷酸多态性(SNP)。
在 10.4 年的随访后,我们观察到 598 例新发糖尿病病例。与高教育组相比,中教育组和低教育组患 T2DM 的调整后的危险比(95%CI)分别为 1.20(0.97-1.49)和 1.58(1.28-1.96)。低教育程度也与糖化血红蛋白水平升高有关。心理社会资源、职业和健康行为充分解释了这些相反的关联。在 210 个 SNP 的 MR 分析中(R=0.0161),每标准偏差减少 4.2 年(4.2 年)受教育年限,患 T2DM 的比值比为 1.33(1.01-1.75;IVW)、1.23(0.37-4.17;MR-Egger)、1.56(1.09-2.27;WM)和 2.94(0.98-9.09;WMBE)。然而,应用 Steiger 过滤法使大多数 MR 结果向无效方向减弱。
我们在队列研究和遗传证据之间的不一致发现并不支持教育与 T2DM 之间的因果关系。