Comparison of Nutrient Calculation Programs for Dietary Intake Analysis.
- Author:
Hyun Kyung MOON
1
;
Eun Kyung KIM
Author Information
1. Department of Food science & Nutrition, Dankook University, Korea.
- Publication Type:Original Article
- Keywords:
nutrients calculation software;
nutrient database;
recipe database
- MeSH:
Beverages;
Edible Grain;
Child, Preschool;
Fishes;
Fruit;
Humans;
Milk;
Niacin;
Riboflavin;
Shellfish;
Vegetables;
Vitamin A
- From:Journal of the Korean Dietetic Association
1999;5(1):100-115
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
With the growing number of nutrient calculation software packages on the market, there are need to compare each programs. Since each program use different nutrient datanases, the result of calculation may be different in value. In this study, we use three(A, B, C) most popular program package to compare the result of nutrient calculation. For the analysis, 24hour recall data from 97 preschool children, 66 university students and 95 aged persona were used. For the calculation if subjects gave the complete recipe, recipes from the subjects were used. Otherwise, recipe from the program database were used. Common 15 nutrients of which all program can give results, are analyzed and compared for mean nutrient intake and nutrient intake for food groups. Ten nutrients among 15 nutrients which have RDA were analyzed for % of RDA and the distribution of RDA. Mean nutrient intake of Fe, vitamin A, Na were statistically different among results of the calculation using three programs(p<0.001). The distribution of Fe, vitamin A and vitamin B2, niacin were statistically different among three results of the calculation using three program(p<0.001, p<0.05). Nutrient intakes of food groups were statistically different in cereal and products, bean and products, vegetables, fruits, fishes and shellfishes, milk and products, beverages, and seasonings(p<0.0001). It os hard to say that the difference among three program are coming from the difference from nutrient database or recipe database in this study. With these result, we conclude that it is necessary to evaluate nutrient database and recipe database as the foremost consideration in selecting nutrient calculation software. Those differences should be considered when interpreting results, comparing results with other studies, and when developing treatment plans in the clinical settings.
