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Food composition databases in the era of Big Data: Vegetable oils as a case study
Understanding the population's dietary patterns and their impacts on health requires many different sources of information. The development of reliable food composition databases is a key step in this pursuit. With them, nutrition and health care professionals can provide better public health a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851468/ https://www.ncbi.nlm.nih.gov/pubmed/36687693 http://dx.doi.org/10.3389/fnut.2022.1052934 |
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author | Ferraz de Arruda, Henrique Aleta, Alberto Moreno, Yamir |
author_facet | Ferraz de Arruda, Henrique Aleta, Alberto Moreno, Yamir |
author_sort | Ferraz de Arruda, Henrique |
collection | PubMed |
description | Understanding the population's dietary patterns and their impacts on health requires many different sources of information. The development of reliable food composition databases is a key step in this pursuit. With them, nutrition and health care professionals can provide better public health advice and guide society toward achieving a better and healthier life. Unfortunately, these databases are full of caveats. Focusing on the specific case of vegetable oils, we analyzed the possible obsolescence of the information and the differences or inconsistencies among databases. We show that in many cases, the information is limited, incompletely documented, old or unreliable. More importantly, despite the many efforts carried out in the last decades, there is still much work to be done. As such, institutions should develop long-standing programs that can ensure the quality of the information on what we eat in the long term. In the face of climate change and complex societal challenges in an interconnected world, the full diversity of the food system needs to be recognized and more efforts should be put toward achieving a data-driven food system. |
format | Online Article Text |
id | pubmed-9851468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98514682023-01-20 Food composition databases in the era of Big Data: Vegetable oils as a case study Ferraz de Arruda, Henrique Aleta, Alberto Moreno, Yamir Front Nutr Nutrition Understanding the population's dietary patterns and their impacts on health requires many different sources of information. The development of reliable food composition databases is a key step in this pursuit. With them, nutrition and health care professionals can provide better public health advice and guide society toward achieving a better and healthier life. Unfortunately, these databases are full of caveats. Focusing on the specific case of vegetable oils, we analyzed the possible obsolescence of the information and the differences or inconsistencies among databases. We show that in many cases, the information is limited, incompletely documented, old or unreliable. More importantly, despite the many efforts carried out in the last decades, there is still much work to be done. As such, institutions should develop long-standing programs that can ensure the quality of the information on what we eat in the long term. In the face of climate change and complex societal challenges in an interconnected world, the full diversity of the food system needs to be recognized and more efforts should be put toward achieving a data-driven food system. Frontiers Media S.A. 2023-01-05 /pmc/articles/PMC9851468/ /pubmed/36687693 http://dx.doi.org/10.3389/fnut.2022.1052934 Text en Copyright © 2023 Ferraz de Arruda, Aleta and Moreno. 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 Ferraz de Arruda, Henrique Aleta, Alberto Moreno, Yamir Food composition databases in the era of Big Data: Vegetable oils as a case study |
title | Food composition databases in the era of Big Data: Vegetable oils as a case study |
title_full | Food composition databases in the era of Big Data: Vegetable oils as a case study |
title_fullStr | Food composition databases in the era of Big Data: Vegetable oils as a case study |
title_full_unstemmed | Food composition databases in the era of Big Data: Vegetable oils as a case study |
title_short | Food composition databases in the era of Big Data: Vegetable oils as a case study |
title_sort | food composition databases in the era of big data: vegetable oils as a case study |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851468/ https://www.ncbi.nlm.nih.gov/pubmed/36687693 http://dx.doi.org/10.3389/fnut.2022.1052934 |
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