4.7 Article

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

Journal

NUTRIENTS
Volume 13, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/nu13093073

Keywords

diet tracker apps; 24 hours dietary recall; dietary monitoring; food consumption survey

Funding

  1. Knowledge Hub on Nutrition and Food Security
  2. Belgium (FWO)
  3. France (INRA)
  4. Germany (BLE)
  5. Italy (MIPAAF)
  6. Latvia (IZM)
  7. Norway (RCN)
  8. Portugal (FCT)
  9. Spain (AEI) [696295]

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This study compared the results of popular nutrition-related mobile apps in Italy with data obtained from a recent national dietary survey. The selected apps showed good agreement with professional software in assessing dietary intake, with the exception of fat intake. This suggests that these apps could be a suitable tool for assessing dietary intake.
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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