Department of Central Laboratory and Mitochondrial Medicine Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
School of Clinical Medicine, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China.
Brain Behav. 2024 Nov;14(11):e70151. doi: 10.1002/brb3.70151.
This study leveraged the China Health and Retirement Longitudinal Study (CHARLS) to explore the association between diabetes and stroke in middle-aged and older adults in East Asia and assess the causality of this relationship using Mendelian randomization.
Data from the 2011-2020 CHARLS cohort identified individuals with diabetes at baseline. Stroke incidence was self-reported through standardized questionnaires. Logistic regression and restricted cubic spline analysis examined the relationship between diabetes and stroke risk alongside nonlinear correlations between glucose levels and stroke. Mendelian randomization clarified the causal link and analyzed the mediating effect between diabetes and stroke using genetic methods.
In the study population aged 45 and above, stroke incidence was 5.99% in normoglycemic, 6.82% in prediabetic, and 9.93% in diabetic individuals. Over 7 years, 473 strokes occurred. Diabetes was associated with a 1.35-fold increased stroke risk compared to normoglycemia (OR = 1.35; 95% CI: 1.03-1.79). Subgroup analyses highlighted higher stroke risks in middle-aged women, nonsmokers, and nondrinkers. Mendelian randomization supports a genetic causal relationship between diabetes and stroke. Diabetes may indirectly lead to stroke through the mediating effects of hypertension and high cholesterol.
The findings confirm a significant association and causal link between diabetes and stroke risk in an East Asian population. In addition, the results indicate that controlling blood glucose in prediabetic individuals reduces stroke risk, with no similar benefits in diabetes.
本研究利用中国健康与养老追踪调查(CHARLS)数据,探讨东亚中老年人群中糖尿病与中风的关系,并采用孟德尔随机化方法评估这种关系的因果关系。
本研究基于 CHARLS2011-2020 年的队列数据,在基线时确定患有糖尿病的个体。中风的发病情况通过标准化问卷进行自我报告。采用 logistic 回归和限制三次样条分析探讨了糖尿病与中风风险之间的关系,以及血糖水平与中风之间的非线性关系。孟德尔随机化方法通过遗传方法阐明了糖尿病与中风之间的因果关系,并分析了糖尿病与中风之间的中介效应。
在年龄 45 岁及以上的研究人群中,血糖正常、糖尿病前期和糖尿病患者的中风发病率分别为 5.99%、6.82%和 9.93%。在 7 年的随访期间,共发生 473 例中风。与血糖正常者相比,糖尿病患者的中风风险增加了 1.35 倍(OR=1.35,95%CI:1.03-1.79)。亚组分析表明,中年女性、不吸烟者和不饮酒者的中风风险更高。孟德尔随机化支持糖尿病与中风之间存在遗传因果关系。糖尿病可能通过高血压和高胆固醇的中介作用间接导致中风。
本研究结果在东亚人群中证实了糖尿病与中风风险之间存在显著的关联和因果关系。此外,结果表明,控制糖尿病前期个体的血糖水平可以降低中风风险,但对糖尿病患者没有类似的益处。