4.4 Article

Validation of Insulin Sensitivity and Secretion Indices Derived from the Liquid Meal Tolerance Test

Journal

DIABETES TECHNOLOGY & THERAPEUTICS
Volume 13, Issue 6, Pages 661-666

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/dia.2010.0240

Keywords

-

Funding

  1. National Starch, LLC
  2. Abbott Nutrition (Columbus, OH)

Ask authors/readers for more resources

Background: A liquid meal tolerance test (LMTT) has been proposed as a useful alternative to more labor-intensive methods of assessing insulin sensitivity and secretion. Objective: This substudy, conducted at the conclusion of a randomized, double-blind crossover trial, compared insulin sensitivity indices from a LMTT (Matsuda insulin sensitivity index [MISI] and LMTT disposition index [LMTT-DI]) with indices derived from minimal model analysis of results from the insulin-modified intravenous glucose tolerance test (IVGTT) (insulin sensitivity index [S-I] and disposition index [DI]). Results: Participants included men (n = 16) and women (n = 8) without diabetes but with increased abdominal adiposity (waist circumference >= 102 cm and >= 89 cm, respectively) and mean age of 48.9 years. The correlation between S-I and the MISI was 0.776 (P < 0.0001). The respective associations between S-I and MISI with waist circumference (r = -0.445 and -0.554, both P < 0.05) and body mass index were similar (r = -0.500 and -0.539, P < 0.05). The correlation between DI and LMTT-DI was 0.604 (P = 0.002). Conclusions: These results indicate that indices of insulin sensitivity and secretion derived from the LMTT correlate well with those from the insulin-modified IVGTT with minimal model analysis, suggesting that they may be useful for application in clinical and population studies of glucose homeostasis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available