Development of a glycemic index database for food frequency questionnaires used in epidemiologic studies

Marian L Neuhouser; Lesley F Tinker; Cynthia Thomson; Bette Caan; Linda Van Horn; Linda Snetselaar; Linda M Parker; Ruth E Patterson; Ramona Robinson-O'Brien; Shirley A A Beresford; James M Shikany

doi:10.1093/jn/136.6.1604

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Development of a glycemic index database for food frequency questionnaires used in epidemiologic studies

Journal article

Open access

Peer reviewed

Development of a glycemic index database for food frequency questionnaires used in epidemiologic studies

Marian L Neuhouser, Lesley F Tinker, Cynthia Thomson, Bette Caan, Linda Van Horn, Linda Snetselaar, Linda M Parker, Ruth E Patterson, Ramona Robinson-O'Brien, Shirley A A Beresford, …

The Journal of nutrition, Vol.136(6), pp.1604-1609

06/2006

DOI: 10.1093/jn/136.6.1604

PMID: 16702328

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Abstract

Consumption of foods with a high glycemic index (GI) or glycemic load (GL) is hypothesized to contribute to insulin resistance, which is associated with increased risk of diabetes mellitus, obesity, cardiovascular disease, and some cancers. However, dietary assessment of GI and GL is difficult because values are not included in standard food composition databases. Our objective was to develop a database of GI and GL values that could be integrated into an existing dietary database used for the analysis of FFQ. Food GI values were obtained from published human experimental studies or imputed from foods with a similar carbohydrate and fiber content. We then applied the values to the Women's Health Initiative (WHI) FFQ database and tested the output in a random sample of previously completed WHI FFQs. Of the 122 FFQ line items (disaggregated into 350 foods), 83% had sufficient carbohydrate (>5 g/serving) for receipt of GI and GL values. The foods on the FFQ food list with the highest GL were fried breads, potatoes, pastries, pasta, and soft drinks. The fiber content of foods had very little influence on calculated GI or GL estimates. The augmentation of this FFQ database with GI and GL values will enable etiologic investigations of GI and GL with numerous disease outcomes in the WHI and other epidemiologic studies that utilize this FFQ.

Diet

Epidemiologic Methods

Glycemic Index

Humans

Middle Aged

Food - classification

Postmenopause

Female

Databases, Factual

Details

Title: Subtitle: Development of a glycemic index database for food frequency questionnaires used in epidemiologic studies
Creators: Marian L Neuhouser - Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. mneuhous@fhcrc.org
Lesley F Tinker
Cynthia Thomson
Bette Caan
Linda Van Horn
Linda Snetselaar
Linda M Parker
Ruth E Patterson
Ramona Robinson-O'Brien
Shirley A A Beresford
James M Shikany
Resource Type: Journal article
Publication Details: The Journal of nutrition, Vol.136(6), pp.1604-1609
DOI: 10.1093/jn/136.6.1604
PMID: 16702328
NLM abbreviation: J Nutr
ISSN: 0022-3166
eISSN: 1541-6100
Publisher: United States
Grant note: N01WH22110 / WHI NIH HHS R01HL073114 / NHLBI NIH HHS P30CA15794 / NCI NIH HHS
Language: English
Date published: 06/2006
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center; Internal Medicine
Record Identifier: 9983995144402771

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