diabetestalk.net

An Insulin Index Of Foods: The Insulin Demand Generated By 1000-kj Portions Of Common Foods.

Share on facebook

An Insulin Index Of Foods: The Insulin Demand Generated By 1000-kj Portions Of Common Foods.

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 Continue reading >>

Share on facebook

Popular Questions

  1. Valtor

    An insulin index of foods:the insulin demand generated by 1000-kJ portions of common foods. (http://www.ajcn.org/cgi/reprint/66/5/1264)
    ABSTRACT The aim of this study was to systematically compare postprandial insulin responses to isoenergetic 1000-U (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 mm over 120 mm. 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=-0.2N7S, , n 36) and protein (r=-0.2N4S, , 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. Am J Clin Nutr l997;66:l264-76.
    Patrick

  2. KJF

    Some of the discrepancies between glycemic index and insulin index are very interesting.

  3. Nancy LC

    I wonder if this was the study I'd been looking for? I can't see the charts, only the abstract.

  4. -> Continue reading
read more close

Related Articles

Popular Articles

More in diabetic diet