Department of Epidemiology, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
Eur J Nutr. 2015 Mar;54(2):215-22. doi: 10.1007/s00394-014-0702-3. Epub 2014 Apr 27.
High glycemic load (GL) has been associated with excess stroke risk. Data suggest a different role of diet in the etiology of ischemic and hemorrhagic stroke.
We analyzed data from 19,824 participants of the Greek cohort of the population-based European Prospective Investigation into Cancer and nutrition (EPIC), who were free of cardiovascular diseases, cancer, and diabetes at baseline and had not developed diabetes. Diet was assessed at enrollment through a validated, interviewer-administered semi-quantitative food frequency questionnaire. The average daily GL was derived using standard tables. We also conducted a meta-analysis on GL and stroke (overall, ischemic and hemorrhagic), using random-effects models.
In the Greek EPIC cohort, 304 incident stroke cases were identified (67 ischemic, 49 hemorrhagic). Using Cox proportional hazards regression models adjusted for potential confounders, the hazard ratios for the highest versus the lowest GL tertiles were 1.07 [95 % confidence interval (CI) 0.74-1.54] for overall stroke, 1.55 (95 % CI 0.72-3.36) for ischemic and 0.48 (95 % CI 0.18-1.25) for hemorrhagic stroke (p-heterogeneity <0.01). The meta-analysis, including a total of 3,088 incident cases and 247 deaths from stroke (1,469 cases and 126 deaths ischemic; 576 cases and 94 deaths hemorrhagic), estimated pooled relative risks for the highest versus the lowest GL levels of 1.23 (95 % CI 1.07-1.41) for overall, 1.35 (95 % CI 1.06-1.72) for ischemic, and 1.09 (95 % CI 0.81-1.47) for hemorrhagic stroke (p-heterogeneity = 0.275).
This study indicates that GL is an important determinant of the more common ischemic-though not of the hemorrhagic-stroke.
高血糖负荷(GL)与中风风险增加有关。数据表明,饮食在缺血性和出血性中风的病因学中发挥着不同的作用。
我们分析了希腊人群为基础的欧洲前瞻性癌症与营养研究(EPIC)队列中 19824 名参与者的数据,这些参与者在基线时无心血管疾病、癌症和糖尿病,且未发生糖尿病。饮食在入组时通过验证的、由调查员管理的半定量食物频率问卷进行评估。平均每日 GL 采用标准表计算。我们还使用随机效应模型对 GL 和中风(总体、缺血性和出血性)进行了荟萃分析。
在希腊 EPIC 队列中,共确定了 304 例中风病例(67 例缺血性,49 例出血性)。使用 Cox 比例风险回归模型调整潜在混杂因素后,最高 GL 三分位与最低 GL 三分位的危险比分别为 1.07(95%可信区间[CI]0.74-1.54)总体中风、1.55(95%CI0.72-3.36)缺血性和 0.48(95%CI0.18-1.25)出血性中风(p 异质性<0.01)。包括 3088 例中风事件和 247 例中风死亡的荟萃分析(1469 例和 126 例缺血性死亡;576 例和 94 例出血性死亡),估计最高与最低 GL 水平的汇总相对风险为 1.23(95%CI1.07-1.41)总体、1.35(95%CI1.06-1.72)缺血性和 1.09(95%CI0.81-1.47)出血性中风(p 异质性=0.275)。
本研究表明,GL 是更常见的缺血性中风(而非出血性中风)的重要决定因素。