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Methodology for adding glycemic index values to 24-hour recalls.
MedLine Citation:
PMID:  20541365     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
OBJECTIVE: To describe a standardized method to assign glycemic index (GI) values to food items, obtained from 3 x 24-h recalls among Aboriginal and Torres Strait Islander and non-Indigenous Australian children, which can be adapted for use with simple food composition databases.
METHODS: Four published GI databases were used as the source of GI values. Changes were made to a previously published methodology for GI value assignment to accommodate the needs of the Many Rivers Diabetes Prevention Project.
RESULTS: There were 1132 food items in the recall database. Two hundred nineteen (19.3%) food items were directly linked to the FoodWorks GI database and 545 (48.1%) items were assigned the GI value of a "closely related" food item in the four GI databases used. Among the top carbohydrate contributors, 113 (35.3%) items have a direct linkage with the FoodWorks GI database. The mean ± SEM dietary GI and glycemic load (GL) of the study population resulting from this methodology are 57.5 ± 0.3 and 143.4 ± 2.6, respectively.
CONCLUSION: This simple method provides opportunities for countries without food composition database that are comprehensive for GI/GL but which contain accurate information on carbohydrates in foods to assign high-quality GI values to food items in epidemiological studies based on 24-h recalls.
Authors:
Jimmy Chun-Yu Louie; Victoria Flood; Nicole Turner; Christopher Everingham; Josephine Gwynn
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-06-11
Journal Detail:
Title:  Nutrition (Burbank, Los Angeles County, Calif.)     Volume:  27     ISSN:  1873-1244     ISO Abbreviation:  Nutrition     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2010-12-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8802712     Medline TA:  Nutrition     Country:  United States    
Other Details:
Languages:  eng     Pagination:  59-64     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Cluster for Public Health Nutrition, Boden Institute of Obesity, Nutrition and Exercise, The University of Sydney NSW, Australia.
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