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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8465951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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