Predicting glucose and insulin responses in healthy subjects after consuming mixed meals varying in energy, protein, fat, carbohydrates, and glycemic index - Review of the evidence

In healthy adults, mixed-meal studies suggest carbohydrate amount alone poorly predicts postprandial glucose, while glycemic index adds explanatory value.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24140522
Primary Topic
Food composition and properties
Type
article
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article

Predicting glucose and insulin responses in healthy subjects after consuming mixed meals varying in energy, protein, fat, carbohydrates, and glycemic index - Review of the evidence

Melania Mondini
Zenodo (CERN European Organization for Nuclear Research)
Food composition and properties
article

Predicting glucose and insulin responses in healthy subjects after consuming mixed meals varying in energy, protein, fat, carbohydrates, and glycemic index - Review of the evidence

Melania Mondini
article en

Abstract

In healthy adults, mixed-meal studies suggest carbohydrate amount alone poorly predicts postprandial glucose, while glycemic index adds explanatory value.

Zenodo (CERN European Organization for Nuclear Research)
Food composition and properties
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Predicting glucose and insulin responses in healthy subjects after consuming mixed meals varying in energy, protein, fat, carbohydrates, and glycemic index - Review of the evidence — Melania Mondini · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS