Agreement of dietary fiber and calorie intake values according to the choice of nutrient composition and household measure tables
Keywords:
Food analysis, Nutritional epidemiology, Tables of food compositionAbstract
Objective
To analyze the variations in the daily intake of dietary fiber and calories according to the different nutrient composition and homemade measure tables.
Methods
Five different methods based on different nutrient composition and household measure tables were used to calculate daily calorie and fiber intake, measured using a food frequency questionnaire, of 633 pregnant women receiving care in primary health care units in the Southern region of Brazil; they were selected to participate in a cohort study. The agreement between the five methods was evaluated using the Kappa and weighted Kappa coefficients. The Nutritional Support Table, a Brazilian traditional food composition table and the Brazilian household expenditure survey were used in Method 1. Brazilian Food Composition Table and the Table for the Assessment of Household Measures (Pinheiro) were used in Methods 2 and 3. The average values of all subtypes
of food listed in the Brazilian Food Composition Table for each corresponding item in the food frequency questionnaire were calculated in the method 3. The United States Department of Agriculture Food CompositionTable and the table complied by Pinheiro were used in Method 4. The Brazilian Food Composition Table and the Brazilian household expenditure survey were used in Method 5.
Results
The highest agreement of calorie intake values were found between Methods 2 and 3 (Kappa=0.94; 0.92–0.95), and the lowest agreement was found between Methods 4 and 5 (Kappa=0.46; 0.42–0.50). As for the fiber intake, the highest agreement was found between Methods 2 and 5 (Kappa=0.87; 0.82–0.90), and the lowest agreement was observed between Methods 1 and 4 (Kappa=0.36; 0.3–0.43).
Conclusion
Considerable differences were found between the nutritional composition tables. Therefore, the choice of the table can influence the comparability between studies.
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