Mendez Michelle A, Covas Maria Isabel, Marrugat Jaume, Vila Joan, Schröder Helmut
Center for Research in Environmental Epidemiology, Municipal Institute of Medical Research, Biomedical Research Park, Barcelona, Spain.
Am J Clin Nutr. 2009 Jan;89(1):316-22. doi: 10.3945/ajcn.2008.26444. Epub 2008 Dec 3.
Studies on obesity and glycemic index (GI) or glycemic load (GL) have had inconsistent results, perhaps in part because of underreporting or to heterogeneous dietary patterns across food cultures.
We examined associations between body mass index (BMI) and GI or GL in a Mediterranean population, accounting for underreporting. We also constructed dietary factors related to GI and GL to better understand food patterns related to these measures.
Cross-sectional data on 8195 Spanish adults aged 35-74 y were analyzed. A validated food-frequency questionnaire was used to estimate GI and GL, with glucose as the reference value. Reduced-rank regression was used to construct dietary patterns that explained variation in GI and GL. Multivariate linear regression was used to estimate associations between BMI and GI, GL, and their respective diet factors with and without adjusting for energy, which may lie on the causal pathway between glycemic quality and obesity. Effects of excluding underreporters (ratio of energy intake:basal metabolic rate < 1.20) were examined.
Food patterns underlying high GI differed substantially from those of high GL, with fruits, vegetables, and legumes related positively to GL but negatively to GI. After excluding underreporters, GL was negatively associated with BMI, adjusting for energy. GI was not associated with BMI in any model.
After adjusting for energy, GL was associated with reduced BMI in this Mediterranean population. Underreporting did not explain this inverse relation, which was observed among subjects with plausible intakes.
关于肥胖与血糖指数(GI)或血糖负荷(GL)的研究结果并不一致,部分原因可能是报告不足或不同食物文化中的饮食模式存在异质性。
我们研究了地中海人群中体重指数(BMI)与GI或GL之间的关联,并考虑了报告不足的情况。我们还构建了与GI和GL相关的饮食因素,以更好地理解与这些指标相关的食物模式。
分析了8195名年龄在35 - 74岁的西班牙成年人的横断面数据。使用经过验证的食物频率问卷以葡萄糖作为参考值来估计GI和GL。采用降秩回归构建能够解释GI和GL变化的饮食模式。使用多元线性回归估计BMI与GI、GL及其各自饮食因素之间的关联,同时考虑是否调整可能处于血糖质量与肥胖因果路径上的能量因素。研究了排除报告不足者(能量摄入与基础代谢率之比<1.20)的影响。
高GI的食物模式与高GL的食物模式有很大差异,水果、蔬菜和豆类与GL呈正相关,但与GI呈负相关。排除报告不足者后,调整能量因素后,GL与BMI呈负相关。在任何模型中,GI与BMI均无关联。
调整能量因素后,在这个地中海人群中,GL与较低的BMI相关。报告不足并不能解释这种反向关系,这种关系在摄入量合理的受试者中也观察到了。