Cargando…

Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food

The present study aimed to assess the feasibility and reliability of an a3utomatic food intake measurement device in estimating energy intake from energy-dense foods. Eighteen volunteers aged 20–36 years were recruited from the University of Padova. The device used in the present study was the Bite...

Descripción completa

Detalles Bibliográficos
Autores principales: Lorenzoni, Giulia, Bottigliengo, Daniele, Azzolina, Danila, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566449/
https://www.ncbi.nlm.nih.gov/pubmed/31137750
http://dx.doi.org/10.3390/nu11051170
_version_ 1783426854876610560
author Lorenzoni, Giulia
Bottigliengo, Daniele
Azzolina, Danila
Gregori, Dario
author_facet Lorenzoni, Giulia
Bottigliengo, Daniele
Azzolina, Danila
Gregori, Dario
author_sort Lorenzoni, Giulia
collection PubMed
description The present study aimed to assess the feasibility and reliability of an a3utomatic food intake measurement device in estimating energy intake from energy-dense foods. Eighteen volunteers aged 20–36 years were recruited from the University of Padova. The device used in the present study was the Bite Counter (Bite Technologies, Pendleton, USA). The rationale of the device is that the wrist movements occurring in the act of bringing food to the mouth present unique patterns that are recognized and recorded by the Bite Counter. Subjects were asked to wear the Bite Counter on the wrist of the dominant hand, to turn the device on before the first bite and to turn it off once he or she finished his or her meal. The accuracy of caloric intake was significantly different among the methods used. In addition, the device’s accuracy in estimating energy intake varied according to the type and amount of macronutrients present, and the difference was independent of the number of bites recorded. Further research is needed to overcome the current limitations of wearable devices in estimating caloric intake, which is not independent of the food being eaten.
format Online
Article
Text
id pubmed-6566449
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-65664492019-06-17 Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food Lorenzoni, Giulia Bottigliengo, Daniele Azzolina, Danila Gregori, Dario Nutrients Article The present study aimed to assess the feasibility and reliability of an a3utomatic food intake measurement device in estimating energy intake from energy-dense foods. Eighteen volunteers aged 20–36 years were recruited from the University of Padova. The device used in the present study was the Bite Counter (Bite Technologies, Pendleton, USA). The rationale of the device is that the wrist movements occurring in the act of bringing food to the mouth present unique patterns that are recognized and recorded by the Bite Counter. Subjects were asked to wear the Bite Counter on the wrist of the dominant hand, to turn the device on before the first bite and to turn it off once he or she finished his or her meal. The accuracy of caloric intake was significantly different among the methods used. In addition, the device’s accuracy in estimating energy intake varied according to the type and amount of macronutrients present, and the difference was independent of the number of bites recorded. Further research is needed to overcome the current limitations of wearable devices in estimating caloric intake, which is not independent of the food being eaten. MDPI 2019-05-24 /pmc/articles/PMC6566449/ /pubmed/31137750 http://dx.doi.org/10.3390/nu11051170 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lorenzoni, Giulia
Bottigliengo, Daniele
Azzolina, Danila
Gregori, Dario
Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
title Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
title_full Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
title_fullStr Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
title_full_unstemmed Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
title_short Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food
title_sort food composition impacts the accuracy of wearable devices when estimating energy intake from energy-dense food
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566449/
https://www.ncbi.nlm.nih.gov/pubmed/31137750
http://dx.doi.org/10.3390/nu11051170
work_keys_str_mv AT lorenzonigiulia foodcompositionimpactstheaccuracyofwearabledeviceswhenestimatingenergyintakefromenergydensefood
AT bottigliengodaniele foodcompositionimpactstheaccuracyofwearabledeviceswhenestimatingenergyintakefromenergydensefood
AT azzolinadanila foodcompositionimpactstheaccuracyofwearabledeviceswhenestimatingenergyintakefromenergydensefood
AT gregoridario foodcompositionimpactstheaccuracyofwearabledeviceswhenestimatingenergyintakefromenergydensefood