Abstract
The nutrient intake dataset is crucial in epidemiological studies. The latest version of the food composition database includes more types of nutrients than previous ones and can be used to obtain data on nutrient intake that could not be estimated before. Usual food consumption data were collected among 910 twins between 1969 and 1973 through dietary history interviews, and then used to calculate intake of eight types of nutrients (energy intake, carbohydrate, protein, cholesterol, total fat, and saturated, monounsaturated, and polyunsaturated fatty acids) in the National Heart, Lung, and Blood Institute Twin Study. We recalculated intakes using the food composition database updated in 2008. Several different statistical methods were used to evaluate the validity and the reliability of the recalculated intake data. Intra-class correlation coefficients between recalculated and original intake values were above 0.99 for all nutrients. R2 values for regression models were above 0.90 for all nutrients except polyunsaturated fatty acids (R2 = 0.63). In Bland–Altman plots, the percentage of scattering points that outlay the mean plus or minus two standard deviations lines was less than 5% for all nutrients. The arithmetic mean percentage of quintile agreement was 78.5% and that of the extreme quintile disagreement was 0.1% for all nutrients between the two datasets. Recalculated nutrient intake data is in strong agreement with the original one, supporting the reliability of the recalculated data. It is also implied that recalculation is a cost-efficient approach to obtain the intake of nutrients unavailable at baseline.
Highlights
Data on food consumption, nutrient intake, and dietary compounds is essential to examine the role of diet in disease
Data on nutrient intake and other dietary compounds is conventionally calculated through the joint use of food consumption data and the food composition database
A food composition database is composed of nutrients and dietary compounds and their amount in a defined amount of an edible food item, i.e., 100 g and/or one serving
Summary
Nutrient intake, and dietary compounds is essential to examine the role of diet in disease. A food composition database is composed of nutrients and dietary compounds and their amount in a defined amount of an edible food item, i.e., 100 g and/or one serving It is updated and expanded continuously [3]. Abaseline nutrient dataset contains a limited number of nutrients in longitudinal studies, as the earlier versions of the database contained far fewer nutrients and dietary compounds than updated versions of the database. With advancement in both knowledge and role of Nutrients 2019, 11, 109; doi:10.3390/nu11010109 www.mdpi.com/journal/nutrients
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