Center for Public Health Nutrition, University of Washington, Seattle, Washington, USA.
Nutr Rev. 2021 Sep 7;79(10):1134-1144. doi: 10.1093/nutrit/nuaa117.
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 100 g or per 100 kcal. Most beans, pulses, legumes, grains, and vegetables provided <10% DV of protein per 100 g or per 100 kcal. 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.
方法来评估食物的营养密度，通常被称为营养成分分析（NP），通常包括蛋白质作为一个组成部分。在这项研究中，目标是通过食物来源对选定的 NP 算法进行蛋白质质量校正。对弗雷德哈钦森食物频率问卷的 378 种成分食物的分析表明，动物源食品（即肉、蛋和奶制品）以及一些豆制品和坚果是唯一每 100 克或每 100 千卡提供超过 20%的蛋白质日推荐值（DV）的食物。大多数豆类、豆类、豆类、谷物和蔬菜每 100 克或每 100 千卡提供的蛋白质<10%DV。使用简化的蛋白质消化率校正氨基酸评分（PDCAAS）进行蛋白质质量调整，对基于点的 NP 模型（即 Nutri-Score）和连续营养密度评分（即营养丰富的食物）产生了影响。使用蛋白质含量来捕捉营养密度的定量方法可能需要进行蛋白质质量调整，特别是在适应于低和中等收入国家使用时，这些国家的蛋白质质量是一个公共卫生关注的问题。
