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Article: Assigning glycemic index to foods in a recent Australian food composition database
Title | Assigning glycemic index to foods in a recent Australian food composition database |
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Authors | |
Issue Date | 2016 |
Citation | European Journal of Clinical Nutrition, 2016, v. 70 n. 2, p. 280-281 How to Cite? |
Abstract | © 2015 Macmillan Publishers Limited 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.European Journal of Clinical Nutrition advance online publication, 28 October 2015; doi:10.1038/ejcn.2015.186. |
Persistent Identifier | http://hdl.handle.net/10722/222696 |
ISSN | 2023 Impact Factor: 3.6 2023 SCImago Journal Rankings: 1.168 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Louie, J. C Y | - |
dc.contributor.author | Barclay, A. W. | - |
dc.contributor.author | Brand-Miller, J. C. | - |
dc.date.accessioned | 2016-01-19T03:37:01Z | - |
dc.date.available | 2016-01-19T03:37:01Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | European Journal of Clinical Nutrition, 2016, v. 70 n. 2, p. 280-281 | - |
dc.identifier.issn | 0954-3007 | - |
dc.identifier.uri | http://hdl.handle.net/10722/222696 | - |
dc.description.abstract | © 2015 Macmillan Publishers Limited 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.European Journal of Clinical Nutrition advance online publication, 28 October 2015; doi:10.1038/ejcn.2015.186. | - |
dc.language | eng | - |
dc.relation.ispartof | European Journal of Clinical Nutrition | - |
dc.title | Assigning glycemic index to foods in a recent Australian food composition database | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1038/ejcn.2015.186 | - |
dc.identifier.scopus | eid_2-s2.0-84956954694 | - |
dc.identifier.hkuros | 274260 | - |
dc.identifier.eissn | 1476-5640 | - |
dc.identifier.isi | WOS:000369436100023 | - |
dc.identifier.issnl | 0954-3007 | - |