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Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses

1
Nestlé Research Center, 1000 Lausanne, Switzerland
2
Science and Technology, CPW, 1350 Orbe, Switzerland
3
Nestlé R&D Center, Singapore 618802, Singapore
*
Author to whom correspondence should be addressed.
Received: 15 April 2019 / Revised: 22 May 2019 / Accepted: 23 May 2019 / Published: 25 May 2019
Low glycemic index (GI) and/or low glycemic load (GL) are associated with decreased risks of type-2 diabetes and cardiovascular disease. It is therefore relevant to consider GI and GL in the early phases of the development of packaged foods and beverages. This paper proposes a model that predicts GI and GL from macronutrient composition, by quantifying both the impact of glycemic carbohydrates and the GI-lowering effects of nutrients such as proteins, fats and fibers. The precision of the model is illustrated using data on 42 breakfast cereals. The predictions of GI (r = 0.90, median residual = 2.0) and GL (r = 0.96, median residual = 0.40 g) compete well with the precision of the underlying in-vivo data (Standard Error SE = 3.5 for GI). This model can guide product development towards lowering GI and GL, before final confirmation by in vivo testing. View Full-Text
Keywords: glycemic index; glycemic load; macronutrient composition; model glycemic index; glycemic load; macronutrient composition; model
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MDPI and ACS Style

Rytz, A.; Adeline, D.; Lê, K.-A.; Tan, D.; Lamothe, L.; Roger, O.; Macé, K. Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses. Nutrients 2019, 11, 1172. https://0-doi-org.brum.beds.ac.uk/10.3390/nu11051172

AMA Style

Rytz A, Adeline D, Lê K-A, Tan D, Lamothe L, Roger O, Macé K. Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses. Nutrients. 2019; 11(5):1172. https://0-doi-org.brum.beds.ac.uk/10.3390/nu11051172

Chicago/Turabian Style

Rytz, Andreas, Dorothée Adeline, Kim-Anne Lê, Denise Tan, Lisa Lamothe, Olivier Roger, and Katherine Macé. 2019. "Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses" Nutrients 11, no. 5: 1172. https://0-doi-org.brum.beds.ac.uk/10.3390/nu11051172

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