Authors
Helena Mendes-Soares, Tali Raveh-Sadka, Shahar Azulay, Yatir Ben-Shlomo, Yossi Cohen, Tal Ofek, Josh Stevens, Davidi Bachrach, Purna Kashyap, Lihi Segal, Heidi Nelson
Publication date
2019/7/1
Journal
The American journal of clinical nutrition
Volume
110
Issue
1
Pages
63-75
Publisher
Elsevier
Description
Background
Controlled glycemic concentrations are associated with a lower risk of conditions such as cardiovascular disease and diabetes. Models commonly used to guide interventions to control the glycemic response to food have low efficacy, with recent clinical guidelines arguing for the use of personalized approaches.
Objective
We tested the efficacy of a predictive model of personalized postprandial glycemic response to foods that was developed with an Israeli cohort and that takes into consideration food components and specific features, including the microbiome, when applied to individuals from the Midwestern US.
Design
We recruited 327 individuals for this study. Participants provided information regarding lifestyle, dietary habits, and health, as well as a stool sample for characterization of their gut microbiome. Participants were connected to continuous glucose monitors for 6 d, and the glycemic response …
Scholar articles
H Mendes-Soares, T Raveh-Sadka, S Azulay… - The American journal of clinical nutrition, 2019