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Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density
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 promi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166563/ https://www.ncbi.nlm.nih.gov/pubmed/33508079 http://dx.doi.org/10.1093/advances/nmaa172 |
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author | Drewnowski, Adam McKeown, Nicola Kissock, Katrina Beck, Eleanor Mejborn, Heddie Vieux, Florent Smith, Jessica Masset, Gabriel Seal, Chris J |
author_facet | Drewnowski, Adam McKeown, Nicola Kissock, Katrina Beck, Eleanor Mejborn, Heddie Vieux, Florent Smith, Jessica Masset, Gabriel Seal, Chris J |
author_sort | Drewnowski, Adam |
collection | PubMed |
description | 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 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. |
format | Online Article Text |
id | pubmed-8166563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81665632021-06-02 Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density Drewnowski, Adam McKeown, Nicola Kissock, Katrina Beck, Eleanor Mejborn, Heddie Vieux, Florent Smith, Jessica Masset, Gabriel Seal, Chris J Adv Nutr Perspective 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 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. Oxford University Press 2021-01-28 /pmc/articles/PMC8166563/ /pubmed/33508079 http://dx.doi.org/10.1093/advances/nmaa172 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Perspective Drewnowski, Adam McKeown, Nicola Kissock, Katrina Beck, Eleanor Mejborn, Heddie Vieux, Florent Smith, Jessica Masset, Gabriel Seal, Chris J Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density |
title | Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density |
title_full | Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density |
title_fullStr | Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density |
title_full_unstemmed | Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density |
title_short | Perspective: Why Whole Grains Should Be Incorporated into Nutrient-Profile Models to Better Capture Nutrient Density |
title_sort | perspective: why whole grains should be incorporated into nutrient-profile models to better capture nutrient density |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166563/ https://www.ncbi.nlm.nih.gov/pubmed/33508079 http://dx.doi.org/10.1093/advances/nmaa172 |
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