Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition
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AuthorHinojosa Nogueira, Daniel José; Ortiz Viso, Bartolomé; Navajas Porras, Beatriz; Pérez Burillo, Sergio; González Vigil, Verónica; Pastoriza de la Cueva, Silvia; Rufián Henares, José Ángel
Computational nutritionMeal plan generatorNutritional appNutritional interventionSmartphone applicationDiet appDiet records
Hinojosa-Nogueira, D.; Ortiz-Viso, B.; Navajas-Porras, B.; Pérez-Burillo, S.; González-Vigil, V.; de la Cueva, S.P.; Rufián-Henares, J.Á. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients2023,15,276. [https://doi.org/10.3390/nu15020276]
SponsorshipEuropean Union’s Horizon 2020 research and innovation programme under grant agreement No 816303; Plan Propio de Investigación y Transferencia of the University of Granada under the program “Intensificación de la Investigación, modalidad B”
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.
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