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Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains
PURPOSE: Whole grains, generally recognised as healthy choices, are not included in most nutrient profiling systems. We tested modifications to the Nutri-Score algorithm to determine whether including whole grains would provide an improved measure of food, and overall diet quality. METHODS: The whol...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783881/ https://www.ncbi.nlm.nih.gov/pubmed/34817679 http://dx.doi.org/10.1007/s00394-021-02718-6 |
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author | Kissock, Katrina R. Vieux, Florent Mathias, Kevin C. Drewnowski, Adam Seal, Chris J. Masset, Gabriel Smith, Jessica Mejborn, Heddie McKeown, Nicola M. Beck, Eleanor J. |
author_facet | Kissock, Katrina R. Vieux, Florent Mathias, Kevin C. Drewnowski, Adam Seal, Chris J. Masset, Gabriel Smith, Jessica Mejborn, Heddie McKeown, Nicola M. Beck, Eleanor J. |
author_sort | Kissock, Katrina R. |
collection | PubMed |
description | PURPOSE: Whole grains, generally recognised as healthy choices, are not included in most nutrient profiling systems. We tested modifications to the Nutri-Score algorithm to determine whether including whole grains would provide an improved measure of food, and overall diet quality. METHODS: The whole-grain content of food, with a minimum cut-point of 25%, was added to the algorithm, following similar methods used to score other health-promoting components such as fibre. We applied and compared the original and the modified Nutri-Score to food composition and dietary intake data from Australia, France, the United Kingdom, and the United States. RESULTS: At the food level, correlations between whole-grain content and food nutritional score were strengthened using the modified algorithm in Australian data, but less so for the other countries. Improvements were greater in grain-specific food groups. The largest shift in Nutri-Score class was from B to A (best score). At the dietary intake level, whole-diet nutritional scores for individuals were calculated and compared against population-specific diet-quality scores. With modifications, correlations with diet-quality scores were improved slightly, suggesting that the modified score better aligns with national dietary guidelines. An inverse linear relationship between whole-diet nutritional score and whole-grain intake was evident, particularly with modifications (lower whole-diet nutritional score indicative of better diet quality). CONCLUSION: Including a whole-grain component in the Nutri-Score algorithm is justified to align with dietary guidelines and better reflect whole grain as a contributor to improved dietary quality. Further research is required to test alternative algorithms and potentially other nutrient profiling systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-021-02718-6. |
format | Online Article Text |
id | pubmed-8783881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87838812022-02-02 Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains Kissock, Katrina R. Vieux, Florent Mathias, Kevin C. Drewnowski, Adam Seal, Chris J. Masset, Gabriel Smith, Jessica Mejborn, Heddie McKeown, Nicola M. Beck, Eleanor J. Eur J Nutr Original Contribution PURPOSE: Whole grains, generally recognised as healthy choices, are not included in most nutrient profiling systems. We tested modifications to the Nutri-Score algorithm to determine whether including whole grains would provide an improved measure of food, and overall diet quality. METHODS: The whole-grain content of food, with a minimum cut-point of 25%, was added to the algorithm, following similar methods used to score other health-promoting components such as fibre. We applied and compared the original and the modified Nutri-Score to food composition and dietary intake data from Australia, France, the United Kingdom, and the United States. RESULTS: At the food level, correlations between whole-grain content and food nutritional score were strengthened using the modified algorithm in Australian data, but less so for the other countries. Improvements were greater in grain-specific food groups. The largest shift in Nutri-Score class was from B to A (best score). At the dietary intake level, whole-diet nutritional scores for individuals were calculated and compared against population-specific diet-quality scores. With modifications, correlations with diet-quality scores were improved slightly, suggesting that the modified score better aligns with national dietary guidelines. An inverse linear relationship between whole-diet nutritional score and whole-grain intake was evident, particularly with modifications (lower whole-diet nutritional score indicative of better diet quality). CONCLUSION: Including a whole-grain component in the Nutri-Score algorithm is justified to align with dietary guidelines and better reflect whole grain as a contributor to improved dietary quality. Further research is required to test alternative algorithms and potentially other nutrient profiling systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-021-02718-6. Springer Berlin Heidelberg 2021-11-24 2022 /pmc/articles/PMC8783881/ /pubmed/34817679 http://dx.doi.org/10.1007/s00394-021-02718-6 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Contribution Kissock, Katrina R. Vieux, Florent Mathias, Kevin C. Drewnowski, Adam Seal, Chris J. Masset, Gabriel Smith, Jessica Mejborn, Heddie McKeown, Nicola M. Beck, Eleanor J. Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains |
title | Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains |
title_full | Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains |
title_fullStr | Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains |
title_full_unstemmed | Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains |
title_short | Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains |
title_sort | aligning nutrient profiling with dietary guidelines: modifying the nutri-score algorithm to include whole grains |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783881/ https://www.ncbi.nlm.nih.gov/pubmed/34817679 http://dx.doi.org/10.1007/s00394-021-02718-6 |
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