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An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps

National food consumption surveys are crucial for monitoring the nutritional status of individuals, defining nutrition policies, estimating dietary exposure, and assessing the environmental impact of the diet. The methods for conducting them are time and resource-consuming, so they are usually carri...

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Autores principales: Mistura, Lorenza, Comendador Azcarraga, Francisco Javier, D’Addezio, Laura, Martone, Deborah, Turrini, Aida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465951/
https://www.ncbi.nlm.nih.gov/pubmed/34578951
http://dx.doi.org/10.3390/nu13093073
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author Mistura, Lorenza
Comendador Azcarraga, Francisco Javier
D’Addezio, Laura
Martone, Deborah
Turrini, Aida
author_facet Mistura, Lorenza
Comendador Azcarraga, Francisco Javier
D’Addezio, Laura
Martone, Deborah
Turrini, Aida
author_sort Mistura, Lorenza
collection PubMed
description National food consumption surveys are crucial for monitoring the nutritional status of individuals, defining nutrition policies, estimating dietary exposure, and assessing the environmental impact of the diet. The methods for conducting them are time and resource-consuming, so they are usually carried out after extended periods of time, which does not allow for timely monitoring of any changes in the population’s dietary patterns. This study aims to compare the results of nutrition-related mobile apps that are most popular in Italy, with data obtained with the dietary software Foodsoft 1.0, which was recently used in the Italian national dietary survey IV SCAI. The apps considered in this study were selected according to criteria, such as popularity (downloads > 10,000); Italian language; input characteristics (daily dietary recording ability); output features (calculation of energy and macronutrients associated with consumption), etc. 415 apps in Google Play and 226 in the iTunes Store were examined, then the following five apps were selected: YAZIO, Lifesum, Oreegano, Macro and Fitatu. Twenty 24-hour recalls were extracted from the IV SCAI database and inputted into the apps. Energy and macronutrient intake data were compared with Foodsoft 1.0 output. Good agreement was found between the selected apps and Foodsoft 1.0 (high correlation index), and no significant differences were found in the mean values of energy and macronutrients, except for fat intakes. In conclusion, the selected apps could be a suitable tool for assessing dietary intake.
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spelling pubmed-84659512021-09-27 An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps Mistura, Lorenza Comendador Azcarraga, Francisco Javier D’Addezio, Laura Martone, Deborah Turrini, Aida Nutrients Article National food consumption surveys are crucial for monitoring the nutritional status of individuals, defining nutrition policies, estimating dietary exposure, and assessing the environmental impact of the diet. The methods for conducting them are time and resource-consuming, so they are usually carried out after extended periods of time, which does not allow for timely monitoring of any changes in the population’s dietary patterns. This study aims to compare the results of nutrition-related mobile apps that are most popular in Italy, with data obtained with the dietary software Foodsoft 1.0, which was recently used in the Italian national dietary survey IV SCAI. The apps considered in this study were selected according to criteria, such as popularity (downloads > 10,000); Italian language; input characteristics (daily dietary recording ability); output features (calculation of energy and macronutrients associated with consumption), etc. 415 apps in Google Play and 226 in the iTunes Store were examined, then the following five apps were selected: YAZIO, Lifesum, Oreegano, Macro and Fitatu. Twenty 24-hour recalls were extracted from the IV SCAI database and inputted into the apps. Energy and macronutrient intake data were compared with Foodsoft 1.0 output. Good agreement was found between the selected apps and Foodsoft 1.0 (high correlation index), and no significant differences were found in the mean values of energy and macronutrients, except for fat intakes. In conclusion, the selected apps could be a suitable tool for assessing dietary intake. MDPI 2021-08-31 /pmc/articles/PMC8465951/ /pubmed/34578951 http://dx.doi.org/10.3390/nu13093073 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 Article
Mistura, Lorenza
Comendador Azcarraga, Francisco Javier
D’Addezio, Laura
Martone, Deborah
Turrini, Aida
An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps
title An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps
title_full An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps
title_fullStr An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps
title_full_unstemmed An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps
title_short An Italian Case Study for Assessing Nutrient Intake through Nutrition-Related Mobile Apps
title_sort italian case study for assessing nutrient intake through nutrition-related mobile apps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465951/
https://www.ncbi.nlm.nih.gov/pubmed/34578951
http://dx.doi.org/10.3390/nu13093073
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