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Estimating Insulin Demand for Protein-Containing Foods Using the Food Insulin Index

Estimating Insulin Demand for Protein-Containing Foods Using the Food Insulin Index compared to Traditional Carbohydrate Counting for Glycemic Control in Type 1 Diabetes.

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12614000170628
Enrollment
11
Registered
2014-02-11
Start date
2013-01-21
Completion date
2013-03-25
Last updated
2020-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

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

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

University of Sydney
Lead SponsorUniversity

Study design

Allocation
Randomised controlled trial
Intervention model
Crossover
Primary purpose
Treatment
Masking
Blinded (masking used) (Subject, Caregiver, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years
Healthy volunteers
No

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

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026