The Application of the Food Insulin Index in the Prevention and Management of Insulin Resistance and Diabetes: A Scoping Review.
Hildegard StrydomElizabeth DelportJane W MuchiriZelda WhitePublished in: Nutrients (2024)
The food insulin index (FII) is a novel algorithm used to determine insulin responses of carbohydrates, proteins, and fats. This scoping review aimed to provide an overview of all scientifically relevant information presented on the application of the FII in the prevention and management of insulin resistance and diabetes. The Arksey and O'Malley framework and the PRISMA Extension for Scoping Reviews 22-item checklist were used to ensure that all areas were covered in the scoping review. Our search identified 394 articles, of which 25 articles were included. Three main themes emerged from the included articles: 1. the association of FII with the development of metabolic syndrome, insulin resistance, and diabetes, 2. the comparison of FII with carbohydrate counting (CC) for the prediction of postprandial insulin response, and 3. the effect of metabolic status on the FII. Studies indicated that the FII can predict postprandial insulin response more accurately than CC, and that a high DII and DIL diet is associated with the development of metabolic syndrome, insulin resistance, and diabetes. The FII could be a valuable tool to use in the prevention and management of T1DM, insulin resistance, and T2DM, but more research is needed in this field.
Keyphrases
- insulin resistance
- glycemic control
- type diabetes
- metabolic syndrome
- blood glucose
- high fat diet
- adipose tissue
- polycystic ovary syndrome
- skeletal muscle
- high fat diet induced
- cardiovascular disease
- weight loss
- uric acid
- deep learning
- cardiovascular risk factors
- machine learning
- physical activity
- health information
- social media