Castro-Quezada Itandehui, Sánchez-Villegas Almudena, Estruch Ramón, Salas-Salvadó Jordi, Corella Dolores, Schröder Helmut, Alvarez-Pérez Jacqueline, Ruiz-López María Dolores, Artacho Reyes, Ros Emilio, Bulló Mónica, Covas María-Isabel, Ruiz-Gutiérrez Valentina, Ruiz-Canela Miguel, Buil-Cosiales Pilar, Gómez-Gracia Enrique, Lapetra José, Pintó Xavier, Arós Fernando, Fiol Miquel, Lamuela-Raventós Rosa María, Martínez-González Miguel Ángel, Serra-Majem Lluís
Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain.
PLoS One. 2014 Sep 24;9(9):e107968. doi: 10.1371/journal.pone.0107968. eCollection 2014.
Different types of carbohydrates have diverse glycemic response, thus glycemic index (GI) and glycemic load (GL) are used to assess this variation. The impact of dietary GI and GL in all-cause mortality is unknown. The objective of this study was to estimate the association between dietary GI and GL and risk of all-cause mortality in the PREDIMED study.
The PREDIMED study is a randomized nutritional intervention trial for primary cardiovascular prevention based on community-dwelling men and women at high risk of cardiovascular disease. Dietary information was collected at baseline and yearly using a validated 137-item food frequency questionnaire (FFQ). We assigned GI values of each item by a 5-step methodology, using the International Tables of GI and GL Values. Deaths were ascertained through contact with families and general practitioners, review of medical records and consultation of the National Death Index. Cox regression models were used to estimate multivariable-adjusted hazard ratios (HR) and their 95% CI for mortality, according to quartiles of energy-adjusted dietary GI/GL. To assess repeated measures of exposure, we updated GI and GL intakes from the yearly FFQs and used Cox models with time-dependent exposures.
We followed 3,583 non-diabetic subjects (4.7 years of follow-up, 123 deaths). As compared to participants in the lowest quartile of baseline dietary GI, those in the highest quartile showed an increased risk of all-cause mortality [HR = 2.15 (95% CI: 1.15-4.04); P for trend = 0.012]. In the repeated-measures analyses using as exposure the yearly updated information on GI, we observed a similar association. Dietary GL was associated with all-cause mortality only when subjects were younger than 75 years.
High dietary GI was positively associated with all-cause mortality in elderly population at high cardiovascular risk.
不同类型的碳水化合物具有不同的血糖反应,因此血糖生成指数(GI)和血糖负荷(GL)被用于评估这种差异。饮食GI和GL对全因死亡率的影响尚不清楚。本研究的目的是在PREDIMED研究中估计饮食GI和GL与全因死亡率风险之间的关联。
PREDIMED研究是一项针对社区居住的心血管疾病高危男性和女性进行的原发性心血管预防随机营养干预试验。在基线和每年使用经过验证的137项食物频率问卷(FFQ)收集饮食信息。我们采用五步方法,使用国际GI和GL值表为每个项目分配GI值。通过与家属和全科医生联系、查阅医疗记录以及查询国家死亡指数来确定死亡情况。根据能量调整后的饮食GI/GL四分位数,使用Cox回归模型估计多变量调整后的死亡率风险比(HR)及其95%置信区间(CI)。为了评估暴露的重复测量,我们更新了每年FFQ中的GI和GL摄入量,并使用具有时间依赖性暴露的Cox模型。
我们对3583名非糖尿病受试者进行了随访(随访4.7年,123例死亡)。与基线饮食GI最低四分位数的参与者相比,最高四分位数的参与者全因死亡率风险增加[HR = 2.15(95% CI:(1.15 - 4.04));趋势P值 = 0.012]。在使用每年更新的GI信息作为暴露的重复测量分析中,我们观察到了类似的关联。仅当受试者年龄小于75岁时,饮食GL与全因死亡率相关。
在心血管疾病高危的老年人群中,高饮食GI与全因死亡率呈正相关。