The effect of improved food composition data on intake estimates in the United States of America.
Authors:
Ahuja, J.K.C. Goldman, J.D. Perloff, B.P. USDA, ARS
Source:
Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems. 2006 Aug., v. 19, suppl. 1, p. S7-S13.
NALT Subjects:
food intake nutrient intake estimation Continuing Survey of Food Intakes by Individuals food composition nutrient databanks data analysis dietary minerals vitamins National Health and Nutrition Examination Survey United States
Other Subjects:
trends analysis system data improvements Food and Nutrient database for Dietary Studies (FNDDS)
Issue Date:
Aug-2006
Abstract:
The effect of improved food composition data on nutrient intake estimates was determined by re-analyzing dietary intake data from the Continuing Survey of Food Intake by Individuals (CSFII) 1994-1996, 1998 with the multi-year version of the Food and Nutrient Database for Dietary Studies (FNDDS) 1.0, wherein only the data improvements such as those due to new analytical data replaced the older values. Mean differences between the old and revised estimates were determined. Improved data resulted in minor but statistically significant ( P=0.001) differences in mean intake estimates for most nutrients. Nutrients or food components with greatest differences included vitamin C, riboflavin, magnesium, and caffeine. As a result of these changes, 4-7% more adults have inadequate intakes of vitamin C and magnesium. Caffeine intakes were lower by about 25%. Changes in the food composition values for fluid milk, tomatoes, coffee, and mixed dishes appear to have had the most impact. These artifactual changes require adjustments to the earlier intake estimates to improve comparability with more current intakes.
