Criteria for optimizing food composition tables in relation to studies of habitual food intakes.
The purpose of this study is to increase the accuracy, reliability, and precision of food composition data and, in consequence, better approximate nutrient intake estimations and recommendations. To do this it is necessary to specify and taken into account factors that play an important role in the variation of composition in order to avoid excessively broad dispersions and irregularities in data distributions. This implies the presentation of representative and, as consequence, extrapolable data, with nutritionally grounded confidence intervals. This study suggests a methodology that better approaches the accuracy, reliability, and precision of food composition data.
Joyanes
María
M
Agencia Española de Seguridad Alimentaria, Ministerio de Sanidad y Consumo, Madrid, Spain. gjoyanes@isciii.es
Lema
Lourdes
L
D005247:Feeding Behavior; D005504:Food Analysis / Q000379:methods / Q000592:standards / Q000706:statistics & numerical data; D006801:Humans; D009749:Nutrition Surveys; D009753:Nutritive Value