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Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition
Access to good nutritional health is one of the principal objectives of current society. Several e-services offer dietary advice. However, multifactorial and more individualized nutritional recommendations should be developed to recommend healthy menus according to the specific user’s needs. In this...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864275/ https://www.ncbi.nlm.nih.gov/pubmed/36678148 http://dx.doi.org/10.3390/nu15020276 |
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author | Hinojosa-Nogueira, Daniel Ortiz-Viso, Bartolomé Navajas-Porras, Beatriz Pérez-Burillo, Sergio González-Vigil, Verónica de la Cueva, Silvia Pastoriza Rufián-Henares, José Ángel |
author_facet | Hinojosa-Nogueira, Daniel Ortiz-Viso, Bartolomé Navajas-Porras, Beatriz Pérez-Burillo, Sergio González-Vigil, Verónica de la Cueva, Silvia Pastoriza Rufián-Henares, José Ángel |
author_sort | Hinojosa-Nogueira, Daniel |
collection | PubMed |
description | Access to good nutritional health is one of the principal objectives of current society. Several e-services offer dietary advice. However, multifactorial and more individualized nutritional recommendations should be developed to recommend healthy menus according to the specific user’s needs. In this article, we present and validate a personalized nutrition system based on an application (APP) for smart devices with the capacity to offer an adaptable menu to the user. The APP was developed following a structured recommendation generation scheme, where the characteristics of the menus of 20 users were evaluated. Specific menus were generated for each user based on their preferences and nutritional requirements. These menus were evaluated by comparing their nutritional content versus the nutrient composition retrieved from dietary records. The generated menus showed great similarity to those obtained from the user dietary records. Furthermore, the generated menus showed less variability in micronutrient amounts and higher concentrations than the menus from the user records. The macronutrient deviations were also corrected in the generated menus, offering a better adaptation to the users. The presented system is a good tool for the generation of menus that are adapted to the user characteristics and a starting point to nutritional interventions. |
format | Online Article Text |
id | pubmed-9864275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98642752023-01-22 Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition Hinojosa-Nogueira, Daniel Ortiz-Viso, Bartolomé Navajas-Porras, Beatriz Pérez-Burillo, Sergio González-Vigil, Verónica de la Cueva, Silvia Pastoriza Rufián-Henares, José Ángel Nutrients Article Access to good nutritional health is one of the principal objectives of current society. Several e-services offer dietary advice. However, multifactorial and more individualized nutritional recommendations should be developed to recommend healthy menus according to the specific user’s needs. In this article, we present and validate a personalized nutrition system based on an application (APP) for smart devices with the capacity to offer an adaptable menu to the user. The APP was developed following a structured recommendation generation scheme, where the characteristics of the menus of 20 users were evaluated. Specific menus were generated for each user based on their preferences and nutritional requirements. These menus were evaluated by comparing their nutritional content versus the nutrient composition retrieved from dietary records. The generated menus showed great similarity to those obtained from the user dietary records. Furthermore, the generated menus showed less variability in micronutrient amounts and higher concentrations than the menus from the user records. The macronutrient deviations were also corrected in the generated menus, offering a better adaptation to the users. The presented system is a good tool for the generation of menus that are adapted to the user characteristics and a starting point to nutritional interventions. MDPI 2023-01-05 /pmc/articles/PMC9864275/ /pubmed/36678148 http://dx.doi.org/10.3390/nu15020276 Text en © 2023 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 | Article Hinojosa-Nogueira, Daniel Ortiz-Viso, Bartolomé Navajas-Porras, Beatriz Pérez-Burillo, Sergio González-Vigil, Verónica de la Cueva, Silvia Pastoriza Rufián-Henares, José Ángel Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition |
title | Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition |
title_full | Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition |
title_fullStr | Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition |
title_full_unstemmed | Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition |
title_short | Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition |
title_sort | stance4health nutritional app: a path to personalized smart nutrition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864275/ https://www.ncbi.nlm.nih.gov/pubmed/36678148 http://dx.doi.org/10.3390/nu15020276 |
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