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Lookup NU author(s): Emeritus Professor Chris SealORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Healthy eating patterns, as described by dietary guidelines, typically favor whole grains, low-fat dairy, vegetables, fruit, legumes, and nuts and seeds. Nutrient profiling (NP) models capture nutrient density of individual foods and can inform healthier food choices. Although whole grains are prominently featured in most dietary guidelines, they are not included in most NP models. Healthy foods, as identified by most NP models, are those that contain limited amounts of energy, saturated fat, total or added sugar, and sodium. As global dietary guidance turns to foods and food groups as opposed to individual nutrients, future nutrient density metrics may need to do the same. Potential methods to incorporate whole grains into the overall concept of nutrient density and into selected NP models are outlined in this review. Incorporating whole grains into the Nutri-Score, Health Star Rating, or the Nutrient Rich Food (NRF) index will require further analyses of dietary nutrient density in relation to health outcomes across diverse population subgroups. We present the rationale for how the inclusion of whole grains in NP models can assist in the implementation of dietary guidance.
Author(s): Drewnowski A, McKeown N, Kissock K, Beck E, Mejborn H, Vieux F, Smith J, Masset G, Seal CJ
Publication type: Article
Publication status: Published
Journal: Advances in Nutrition
Year: 2021
Volume: 12
Issue: 3
Pages: 600-608
Print publication date: 01/05/2021
Online publication date: 28/01/2021
Acceptance date: 07/12/2020
Date deposited: 18/12/2020
ISSN (print): 2161-8313
ISSN (electronic): 2156-5376
Publisher: Oxford University Press
URL: https://doi.org/10.1093/advances/nmaa172
DOI: 10.1093/advances/nmaa172
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