Assigning glycemic index to foods in a recent Australian food composition database

8Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper describes the compilation of a special edition of the AUSNUT2011-2013 food composition database that includes glycemic index (GI) values. A 6-step, systematic methodology was used to assign GI to 5644 foods included in AUSNUT2011-2013. A total of 1752 (31%) foods were assigned a GI of 0 owing to low carbohydrate content; 363 (6%) had a direct match in 1 of the 4 data tables used; 1738 (31%) were assigned the GI of a 'closely related' food item; 1526 (27%) were assigned the weighted mean GI of ingredients; 205 (4%) were assigned the median GI of their corresponding food subgroup; 49 (<1%) were assigned a GI of 0 because they were not a significant source of carbohydrate in typical diets; and 5 (<1%) were assigned a default GI. We propose that this database should be used for all future Australian GI research until a subsequent version/update is compiled.

Cite

CITATION STYLE

APA

Louie, J. C. Y., Barclay, A. W., & Brand-Miller, J. C. (2016). Assigning glycemic index to foods in a recent Australian food composition database. European Journal of Clinical Nutrition, 70(2), 280–281. https://doi.org/10.1038/ejcn.2015.186

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free