Holt S H, Miller J C, Petocz P
Department of Biochemistry, University of Sydney, Australia.
Am J Clin Nutr. 1997 Nov;66(5):1264-76. doi: 10.1093/ajcn/66.5.1264.
The aim of this study was to systematically compare postprandial insulin responses to isoenergetic 1000-kJ (240-kcal) portions of several common foods. Correlations with nutrient content were determined. Thirty-eight foods separated into six food categories (fruit, bakery products, snacks, carbohydrate-rich foods, protein-rich foods, and breakfast cereals) were fed to groups of 11-13 healthy subjects. Finger-prick blood samples were obtained every 15 min over 120 min. An insulin score was calculated from the area under the insulin response curve for each food with use of white bread as the reference food (score = 100%). Significant differences in insulin score were found both within and among the food categories and also among foods containing a similar amount of carbohydrate. Overall, glucose and insulin scores were highly correlated (r = 0.70, P < 0.001, n = 38). However, protein-rich foods and bakery products (rich in fat and refined carbohydrate) elicited insulin responses that were disproportionately higher than their glycemic responses. Total carbohydrate (r = 0.39, P < 0.05, n = 36) and sugar (r = 0.36, P < 0.05, n = 36) contents were positively related to the mean insulin scores, whereas fat (r = -0.27, NS, n = 36) and protein (r = -0.24, NS, n = 38) contents were negatively related. Consideration of insulin scores may be relevant to the dietary management and pathogenesis of non-insulin-dependent diabetes mellitus and hyperlipidemia and may help increase the accuracy of estimating preprandial insulin requirements.
本研究的目的是系统比较几种常见食物等能量的1000千焦(240千卡)份量的餐后胰岛素反应。确定其与营养成分的相关性。将38种食物分为六类食物(水果、烘焙食品、零食、富含碳水化合物的食物、富含蛋白质的食物和早餐谷物),喂食给11至13名健康受试者组成的小组。在120分钟内每隔15分钟采集一次指尖血样。以白面包作为参考食物,根据每种食物胰岛素反应曲线下的面积计算胰岛素评分(评分 = 100%)。在食物类别内部和之间以及含相似碳水化合物量的食物之间均发现胰岛素评分存在显著差异。总体而言,葡萄糖和胰岛素评分高度相关(r = 0.70,P < 0.001,n = 38)。然而,富含蛋白质的食物和烘焙食品(富含脂肪和精制碳水化合物)引发的胰岛素反应与其血糖反应相比过高。总碳水化合物含量(r = 0.39,P < 0.05,n = 36)和糖含量(r = 0.36,P < 0.05,n = 36)与平均胰岛素评分呈正相关,而脂肪含量(r = -0.27,无显著性差异,n = 36)和蛋白质含量(r = -0.24,无显著性差异,n = 38)与平均胰岛素评分呈负相关。考虑胰岛素评分可能与非胰岛素依赖型糖尿病和高脂血症的饮食管理及发病机制相关,且可能有助于提高估计餐前胰岛素需求量的准确性。