Adjusting for protein quality by food source may affect nutrient density metrics

被引:19
作者
Drewnowski, Adam [1 ]
机构
[1] Univ Washington, Ctr Publ Hlth Nutr, Box 353410, Seattle, WA 98195 USA
关键词
animal protein; FSA-Ofcom; PDCAAS; plant protein; protein quality; NRF index; nutrient profiling; Nutri-Score; PROFILE MODELS; RICH FOODS; VALIDATION; ENERGY; SCORE; DIGESTIBILITY; CALORIE; MILK;
D O I
10.1093/nutrit/nuaa117
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Methods to assess nutrient density of foods, commonly known as nutrient profiling (NP), typically include protein as a component. In this study, the goal was to apply a correction for protein quality by food source to selected NP algorithms. Analyses of 378 component foods of the Fred Hutch food frequency questionnaire showed that animal-source foods (ie, meat, eggs, and dairy) along with some soy products and nuts were the only foods that provided > 20% of the daily value (DV) of protein per 100g or per 100kcal. Most beans, pulses, legumes, grains, and vegetables provided <10% DV of protein per 100g or per 100kcal. Adjusting for protein quality using a simplified Protein Digestibility Corrected Amino Acid Score (PDCAAS) had consequences for point-based NP models (namely, Nutri-Score) and for continuous nutrient density scores (namely, Nutrient Rich Foods). Quantitative methods that use protein content to capture nutrient density may require a protein-quality adjustment, especially when adapted for use in low- and middle-income countries where protein quality is an issue of public health concern.
引用
收藏
页码:1134 / 1144
页数:11
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