Wolever Thomas M S, Yang Ming, Zeng Xiao Yi, Atkinson Fiona, Brand-Miller Janette C
Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Canada.
Am J Clin Nutr. 2006 Jun;83(6):1306-12. doi: 10.1093/ajcn/83.6.1306.
Recent studies have concluded that the carbohydrate content and glycemic index (GI) of individual foods do not predict the glycemic and insulinemic effects of mixed meals. We hypothesized that these conclusions may be unwarranted because of methodologic considerations.
The aim was to ascertain whether the GI and carbohydrate content of individual foods influence glucose and insulin responses elicited by realistic mixed meals in normal subjects.
With the use of a crossover design, we determined the glucose and insulin responses of 6 test meals in 16 subjects in Sydney and the glucose responses of 8 test meals in 10 subjects in Toronto and then the results were pooled. The 14 different test meals varied in energy (220-450 kcal), protein (0-18 g), fat (0-18 g), and available carbohydrate (16-79 g) content and in GI (35-100; values were rounded).
The glucose and insulin responses of the Sydney test meals varied over a 3-fold range (P < 0.001), and the glucose responses of the Toronto test meals varied over a 2.4-fold range (P < 0.001). The glucose responses were not related to the fat or protein content of the test meal. Carbohydrate content (P = 0.002) and GI (P = 0.022) alone were related to glucose responses; together they accounted for 88% of the variation in the glycemic response (P < 0.0001). The insulin response was significantly related to the glucose response (r = 0.94, P = 0.005).
When properly applied in realistic settings, GI is a significant determinant of the glycemic effect of mixed meals in normal subjects. For mixed meals within the broad range of nutrient composition that we tested, carbohydrate content and GI together explained approximately 90% of the variation in the mean glycemic response, with protein and fat having negligible effects.
近期研究得出结论,单一食物的碳水化合物含量和血糖生成指数(GI)无法预测混合餐食的血糖和胰岛素效应。我们推测,由于方法学上的考量,这些结论可能并不合理。
旨在确定单一食物的GI和碳水化合物含量是否会影响正常受试者食用实际混合餐食后引发的葡萄糖和胰岛素反应。
采用交叉设计,我们测定了悉尼16名受试者对6种测试餐食的葡萄糖和胰岛素反应,以及多伦多10名受试者对8种测试餐食的葡萄糖反应,然后将结果汇总。14种不同的测试餐食在能量(220 - 450千卡)、蛋白质(0 - 18克)、脂肪(0 - 18克)和可利用碳水化合物(16 - 79克)含量以及GI(35 - 100;数值已四舍五入)方面存在差异。
悉尼测试餐食的葡萄糖和胰岛素反应变化范围达3倍(P < 0.001),多伦多测试餐食的葡萄糖反应变化范围达2.4倍(P < 0.001)。葡萄糖反应与测试餐食的脂肪或蛋白质含量无关。仅碳水化合物含量(P = 0.002)和GI(P = 0.022)与葡萄糖反应相关;二者共同解释了血糖反应变化的88%(P < 0.0001)。胰岛素反应与葡萄糖反应显著相关(r = 0.94,P = 0.005)。
在实际场景中正确应用时,GI是正常受试者混合餐食血糖效应的重要决定因素。对于我们测试的广泛营养成分范围内的混合餐食,碳水化合物含量和GI共同解释了平均血糖反应变化的约90%,蛋白质和脂肪的影响可忽略不计。