Cited by 645Food composition and propertiesDiet, Metabolism, and DiseaseDiabetes Management and Research

The use of the glycemie Index in predicting the blood glucose response to mixed meals

Wolever, TMS, Jenkins, DJA·1986·The American Journal of Clinical Nutrition

Abstract

There has been much interest in the use of the glycemic index (GI). A recent study reporting plasma glucose responses to mixed meals containing fat and protein concluded that the results were totally disparate from what would have been expected from published GI values of the foods fed. However, this conclusion was based upon an inappropriate assessment of the data using absolute rather than incremental blood glucose response areas. The present report demonstrates how data may be analyzed to make use of the GI values of individual foods to predict the GI of mixed meals (r = 0.987; p less than 0.02). It is concluded that the GI concept applies well to mixed meals containing fat and protein.

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Crossref · 10.1093/ajcn/43.1.167

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Authors
Wolever, T., & Jenkins, D.
Corresponding author
Wolever, TMS
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
1986-01
Volume
43
Issue
1
Pages
167-172
ISSN
0002-9165 (ISSN-L)
OpenAlex
W2132216789
Cited by
645
References
2
Citations by year
2026: 11 · 2025: 14 · 2024: 14 · 2023: 19 · 2022: 10 · 2021: 18 · 2020: 20 · 2019: 17 · 2018: 32 · 2017: 30 · 2016: 23 · 2015: 16 · 2014: 25 · 2013: 20 · 2012: 23
FWCI
10.80
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
glycemic index, mixed meal, glycemic response, plasma glucose, food composition
MeSH terms
Blood Glucose, Diabetes Mellitus, Dietary Fats, Dietary Proteins, Humans, Mathematics

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