None listed
Conditions
Brief summary
The Food Insulin Index (FII) is a novel algorithm for ranking foods based on insulin responses in healthy subjects relative to an isoenergetic reference food. Our aim was to compare postprandial glycemic responses in adults with type 1 diabetes who used both carbohydrate counting and the FII algorithm to estimate the insulin dosage for a variety of protein-containing foods. Subjects/Methods: 11 adults on insulin pump therapy consumed 6 individual foods (steak, battered fish, poached eggs, low fat yoghurt, baked beans and peanuts) on two occasions in random order, with the insulin dose determined once by the FII algorithm, and once with carbohydrate counting. Postprandial glycemia was measured in capillary blood glucose samples at 30 min intervals over 3 h. Researchers and participants were blinded to treatment.
Interventions
In this randomised, crossover trial, 11 adults on insulin pump therapy consumed 6 individual foods (steak, battered fish, poached eggs, low fat yoghurt, baked beans and peanuts) with the insulin dose determined by the Food Insulin Index (FII) algorithm. Postprandial glycemia was measured in capillary blood glucose samples at 30 min intervals over 3 h. Researchers and participants were blinded to treatment. The order of the foods and algorithms was randomised and there was a 24 h washout period.
Sponsors
Study design
Eligibility
Inclusion criteria
Aged between 18 to 70 years; type 1 diabetes diagnosed for greater than or equal to 1 year; use of insulin pump therapy, including proficiency with use of a bolus dose calculator for at least 3 months; HbA1c between 6.0 and 8.5% (42 – 69mmol/mol); reliably performing self-monitoring of blood glucose at least four times daily
Exclusion criteria
food allergies and/or intolerances eating disorders use of other medication that may influence blood glucose