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Endocrine Abstracts (2020) 70 AEP287 | DOI: 10.1530/endoabs.70.AEP287

ECE2020 Audio ePoster Presentations Diabetes, Obesity, Metabolism and Nutrition (285 abstracts)

The day-to-day variability of insulin sensitivity measured during ogtt in young adult males

Adriana Kauffmann 1,2 & Davide Carvalho 3


1Queensland University of Technology, Brisbane, Australia; 2Institute of Health and Biomedical Innovation, Health, Brisbane City, Australia; 3Faculty of Medicine Universidade do Porto, Porto, Portugal


There are a wide range of tests to measure insulin sensitivity. Alternative techniques for estimating insulin sensitivity include measurements made during the oral glucose tolerance test (OGTT). We aimed to describe the weekly intraindividual daily variability of measures of insulin sensitivity indexes (HOMA-IR, QUICKI, Matsuda’s insulin sensitivity index (ISIM), Insulinogenic Index, Early C Peptide, Stumvoll’s Insulin Sensitivity Index (ISIS), OGIS_120) and the impact of body composition, physical activity behaviour, and dietary intake, when using OGTT. Twenty-six healthy, weight stable, young males that visited QUT on 3 occasions over a 3-week period, completed the study. At 1-wk participants had a DXA scan to assess body composition, and received an accelerometer (ActiGraph- GT3X) which they wore during 14 days. Over the next 2-wks, participants undertaken repeated OGTTs, scheduled 7 days apart. Glucose, insulin and C-peptide were measured to assess each participant insulin sensitivity using OGTT at 0, 30, 60, 90 and 120 minutes. Dietary interviews were conducted by phone during a 3-week period, using a multiple-day, multiple-pass, 24-h recall and dietary intakes were assessed using FoodWorks 7 software. Despite of being one of the simplest and largely used surrogate measures of insulin sensitivity, the dailyvariability for HOMA (CV32%) was markedly higher compared with QUICKI (CV5%). The lowest variability was demonstrated by the ISIS (CV2%) and the highest reproducibility (ICC.927). The OGIS 120 also showed a low variability (CV4%). The fat trunk % was negative correlated with fasting insulin (r = −.433, P < .05), confirming relationship between abdominal fat, hyperinsulinemia and the clinical risk of diabetes. Significant correlation was found between OGIS120 and the length of vigorous physical activity spent a day (r = 573, P = .001). These findings reinforce that reduction of daily physical activity resulted in negative impact on insulin sensitivity in young healthy men. The Fiberintake had a significant negative correlation between OGIS120 Day 2 (P = 0.013; r = .478). However, the Fiberintake explained only 0.03% of the variance of OGTT by OGIS120 Day 2. A significant negative correlation (P = .013;r = −.481) was observed between percentage of body fat and Fiberintake, suggesting higher Fiberintake predicted lower body fatness. In conclusion, the insulin sensitivity evaluation obtained from OGTT in apparently healthy individuals is quite consistent and produced reliable results using ISIS. We suggest the use of QUICKI when only fasting measures are available to measure insulin sensitivity.

Volume 70

22nd European Congress of Endocrinology

Online
05 Sep 2020 - 09 Sep 2020

European Society of Endocrinology 

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