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Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report

Carbohydrate-containing crops provide the bulk of dietary energy worldwide. In addition to their various carbohydrate forms (sugars, starches, fibers) and ratios, these foods may also contain varying amounts and combinations of proteins, fats, vitamins, minerals, phytochemicals, prebiotics, and anti...

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Autores principales: Comerford, Kevin B., Papanikolaou, Yanni, Jones, Julie Miller, Rodriguez, Judith, Slavin, Joanne, Angadi, Siddhartha, Drewnowski, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398407/
https://www.ncbi.nlm.nih.gov/pubmed/34444826
http://dx.doi.org/10.3390/nu13082667
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author Comerford, Kevin B.
Papanikolaou, Yanni
Jones, Julie Miller
Rodriguez, Judith
Slavin, Joanne
Angadi, Siddhartha
Drewnowski, Adam
author_facet Comerford, Kevin B.
Papanikolaou, Yanni
Jones, Julie Miller
Rodriguez, Judith
Slavin, Joanne
Angadi, Siddhartha
Drewnowski, Adam
author_sort Comerford, Kevin B.
collection PubMed
description Carbohydrate-containing crops provide the bulk of dietary energy worldwide. In addition to their various carbohydrate forms (sugars, starches, fibers) and ratios, these foods may also contain varying amounts and combinations of proteins, fats, vitamins, minerals, phytochemicals, prebiotics, and anti-nutritional factors that may impact diet quality and health. Currently, there is no standardized or unified way to assess the quality of carbohydrate foods for the overall purpose of improving diet quality and health outcomes, creating an urgent need for the development of metrics and tools to better define and classify high-quality carbohydrate foods. The present report is based on a series of expert panel meetings and a scoping review of the literature focused on carbohydrate quality indicators and metrics produced over the last 10 years. The report outlines various approaches to assessing food quality, and proposes next steps and principles for developing improved metrics for assessing carbohydrate food quality. The expert panel concluded that a composite metric based on nutrient profiling methods featuring inputs such as carbohydrate–fiber–sugar ratios, micronutrients, and/or food group classification could provide useful and informative measures for guiding researchers, policymakers, industry, and consumers towards a better understanding of carbohydrate food quality and overall healthier diets. The identification of higher quality carbohydrate foods could improve evidence-based public health policies and programming—such as the 2025–2030 Dietary Guidelines for Americans.
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spelling pubmed-83984072021-08-29 Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report Comerford, Kevin B. Papanikolaou, Yanni Jones, Julie Miller Rodriguez, Judith Slavin, Joanne Angadi, Siddhartha Drewnowski, Adam Nutrients Review Carbohydrate-containing crops provide the bulk of dietary energy worldwide. In addition to their various carbohydrate forms (sugars, starches, fibers) and ratios, these foods may also contain varying amounts and combinations of proteins, fats, vitamins, minerals, phytochemicals, prebiotics, and anti-nutritional factors that may impact diet quality and health. Currently, there is no standardized or unified way to assess the quality of carbohydrate foods for the overall purpose of improving diet quality and health outcomes, creating an urgent need for the development of metrics and tools to better define and classify high-quality carbohydrate foods. The present report is based on a series of expert panel meetings and a scoping review of the literature focused on carbohydrate quality indicators and metrics produced over the last 10 years. The report outlines various approaches to assessing food quality, and proposes next steps and principles for developing improved metrics for assessing carbohydrate food quality. The expert panel concluded that a composite metric based on nutrient profiling methods featuring inputs such as carbohydrate–fiber–sugar ratios, micronutrients, and/or food group classification could provide useful and informative measures for guiding researchers, policymakers, industry, and consumers towards a better understanding of carbohydrate food quality and overall healthier diets. The identification of higher quality carbohydrate foods could improve evidence-based public health policies and programming—such as the 2025–2030 Dietary Guidelines for Americans. MDPI 2021-07-31 /pmc/articles/PMC8398407/ /pubmed/34444826 http://dx.doi.org/10.3390/nu13082667 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Comerford, Kevin B.
Papanikolaou, Yanni
Jones, Julie Miller
Rodriguez, Judith
Slavin, Joanne
Angadi, Siddhartha
Drewnowski, Adam
Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report
title Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report
title_full Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report
title_fullStr Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report
title_full_unstemmed Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report
title_short Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report
title_sort toward an evidence-based definition and classification of carbohydrate food quality: an expert panel report
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398407/
https://www.ncbi.nlm.nih.gov/pubmed/34444826
http://dx.doi.org/10.3390/nu13082667
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