Validity of carbohydrate, glycaemic index and glycaemic load data obtained using a semi-quantitative food-frequency questionnaire
Open Access
- 1 June 2008
- journal article
- research article
- Published by Cambridge University Press (CUP) in Public Health Nutrition
- Vol. 11 (6), 573-580
- https://doi.org/10.1017/s1368980007001103
Abstract
Objective: To assess the ability of a food-frequency questionnaire (FFQ) to rank Australians according to their intake of total carbohydrate, sugar, starch, fibre, glycaemic index (GI) and glycaemic load (GL).Design: Cross-sectional sample from a population cohort.Setting: Two postcode areas west of Sydney, Australia.Subjects: From 1992 to 1994, a total of 2868 older Australians provided dietary data using a 145-item Willett-derived FFQ. A representative sub-sample of 78 subjects completed three 4-day weighed food records (WFRs). Pearson and Spearman correlations, Bland–Altman plots and weighted kappa values were calculated.Results: Compared with the WFR, the FFQ provided higher mean estimates of all nutrients except starch and GI. All Pearson and/or Spearman correlations were greater than 0.5, except for GL. For GI, sugar, starch and fibre, the regression lines from the Bland–Altman analysis indicated a non-significant linear trend (P= 0.07,P= 0.36,P= 0.28 andP= 0.10, respectively). For GL and total carbohydrate, however, there was a significant linear trend (P= 0.006 andP< 0.0001, respectively), indicating that as the GL and carbohydrate intake of individuals increased, so did the magnitude of the error between the FFQ and WFR. Weighted kappa values all indicated moderate to good agreement, with the exception of GL which was only fair. The proportions of subjects correctly classified within one quintile for all of the nutrients were over 50% and gross misclassification was low (<10%).Conclusion: This FFQ was able to rank individuals according to their intakes of total carbohydrate, sugar, starch, fibre and GI, but not as well for GL.This publication has 58 references indexed in Scilit:
- Dietary Fiber Intake, Dietary Glycemic Load, and the Risk for Gestational Diabetes MellitusDiabetes Care, 2006
- Validity of Glycemic Index Estimates in the Insulin Resistance Atherosclerosis StudyDiabetes Care, 2006
- Glycemic load, glycemic index and carbohydrate intake in relation to risk of stomach cancer: A prospective studyInternational Journal of Cancer, 2006
- Obesity and Pancreatic Cancer: Overall Evidence and Latency PeriodCancer Epidemiology, Biomarkers & Prevention, 2005
- Dietary carbohydrates and glycaemic load and the incidence of symptomatic gall stone disease in menGut, 2005
- Glycemic index, glycemic load, and pancreatic cancer risk (Canada)Cancer Causes & Control, 2005
- Glycemic Index and Dietary Fiber and the Risk of Type 2 DiabetesDiabetes Care, 2004
- Dietary Carbohydrate (Amount and Type) in the Prevention and Management of DiabetesDiabetes Care, 2004
- Correlation between dietary glycemic index and cardiovascular disease risk factors among Japanese womenEuropean Journal of Clinical Nutrition, 2004
- STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENTThe Lancet, 1986