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A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator
BACKGROUND AND AIMS: Diversity is a key element of diet quality. The Food Variety Score (FVS) is used to assess diversity, especially in low- and middle-income countries. It sums up the number of foods consumed ignoring their nutrient content. A more suitable index should combine the number of foods...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620300/ https://www.ncbi.nlm.nih.gov/pubmed/37927502 http://dx.doi.org/10.3389/fnut.2023.1170831 |
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author | Di Maso, Matteo Bravi, Francesca Polesel, Jerry Dal Maso, Luigino Patel, Linia La Vecchia, Carlo Ferraroni, Monica |
author_facet | Di Maso, Matteo Bravi, Francesca Polesel, Jerry Dal Maso, Luigino Patel, Linia La Vecchia, Carlo Ferraroni, Monica |
author_sort | Di Maso, Matteo |
collection | PubMed |
description | BACKGROUND AND AIMS: Diversity is a key element of diet quality. The Food Variety Score (FVS) is used to assess diversity, especially in low- and middle-income countries. It sums up the number of foods consumed ignoring their nutrient content. A more suitable index should combine the number of foods consumed and their nutritional composition. We adapted the Nutritional Functional Diversity indicator (NFD), proposed by ecologists, to measure diversity in the human diet. We compared NFD and FVS evaluating subjects’ distributions across quartiles of the two diversity indices. To evaluate which one reflected a higher diet quality, we estimated associations between these two diversity indices and diet quality measures, i.e., the Mediterranean Diet Score (MDS) and the Healthy Eating Index-2015 (HEI-2015). Associations were expressed by odds ratios (OR) and corresponding 95% confidence intervals (CI). MATERIALS AND METHODS: We used the data of controls only derived from an integrated series of hospital-based case-control cancer studies conducted in different Italian areas. The NFD identifies groups of foods based on a set of nutrients according to a cluster analysis. Some steps are required: creating a food-nutrient matrix; clustering of the Euclidean food-food distance matrix to identify groups of foods with nutritional (dis)similarities; and calculating the NFD as the ratio between the sum of branch lengths of the dendrogram belonging to the number of foods consumed by individuals (i.e., subject-specific diversity) and the sum of all branch lengths of the dendrogram (i.e., maximal diversity). RESULTS: More than one quarter of individuals (28.4%) were differently classified within quartiles of the two diversity indices. For both indices, increasing the diversity level increased the risk for adhering to MDS (OR for NFD = 11.26; 95% CI: 7.88–16.09, and OR for FVS = 6.80; 95% CI: 4.84–9.54) and to HEI-2015 (OR for NDF = 2.86; 95% CI: 2.39–3.42, and OR for FVS = 2.72; 95% CI: 2.27–3.26). Associations were stronger for NFD. CONCLUSION: Our findings showed a greater ability of NFD to assess diet quality quantifying the degree of diversity. |
format | Online Article Text |
id | pubmed-10620300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106203002023-11-03 A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator Di Maso, Matteo Bravi, Francesca Polesel, Jerry Dal Maso, Luigino Patel, Linia La Vecchia, Carlo Ferraroni, Monica Front Nutr Nutrition BACKGROUND AND AIMS: Diversity is a key element of diet quality. The Food Variety Score (FVS) is used to assess diversity, especially in low- and middle-income countries. It sums up the number of foods consumed ignoring their nutrient content. A more suitable index should combine the number of foods consumed and their nutritional composition. We adapted the Nutritional Functional Diversity indicator (NFD), proposed by ecologists, to measure diversity in the human diet. We compared NFD and FVS evaluating subjects’ distributions across quartiles of the two diversity indices. To evaluate which one reflected a higher diet quality, we estimated associations between these two diversity indices and diet quality measures, i.e., the Mediterranean Diet Score (MDS) and the Healthy Eating Index-2015 (HEI-2015). Associations were expressed by odds ratios (OR) and corresponding 95% confidence intervals (CI). MATERIALS AND METHODS: We used the data of controls only derived from an integrated series of hospital-based case-control cancer studies conducted in different Italian areas. The NFD identifies groups of foods based on a set of nutrients according to a cluster analysis. Some steps are required: creating a food-nutrient matrix; clustering of the Euclidean food-food distance matrix to identify groups of foods with nutritional (dis)similarities; and calculating the NFD as the ratio between the sum of branch lengths of the dendrogram belonging to the number of foods consumed by individuals (i.e., subject-specific diversity) and the sum of all branch lengths of the dendrogram (i.e., maximal diversity). RESULTS: More than one quarter of individuals (28.4%) were differently classified within quartiles of the two diversity indices. For both indices, increasing the diversity level increased the risk for adhering to MDS (OR for NFD = 11.26; 95% CI: 7.88–16.09, and OR for FVS = 6.80; 95% CI: 4.84–9.54) and to HEI-2015 (OR for NDF = 2.86; 95% CI: 2.39–3.42, and OR for FVS = 2.72; 95% CI: 2.27–3.26). Associations were stronger for NFD. CONCLUSION: Our findings showed a greater ability of NFD to assess diet quality quantifying the degree of diversity. Frontiers Media S.A. 2023-10-19 /pmc/articles/PMC10620300/ /pubmed/37927502 http://dx.doi.org/10.3389/fnut.2023.1170831 Text en Copyright © 2023 Di Maso, Bravi, Polesel, Dal Maso, Patel, La Vecchia and Ferraroni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Di Maso, Matteo Bravi, Francesca Polesel, Jerry Dal Maso, Luigino Patel, Linia La Vecchia, Carlo Ferraroni, Monica A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator |
title | A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator |
title_full | A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator |
title_fullStr | A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator |
title_full_unstemmed | A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator |
title_short | A novel approach to assess diet diversity: a development of the Nutritional Functional Diversity indicator |
title_sort | novel approach to assess diet diversity: a development of the nutritional functional diversity indicator |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620300/ https://www.ncbi.nlm.nih.gov/pubmed/37927502 http://dx.doi.org/10.3389/fnut.2023.1170831 |
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