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Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study

BACKGROUND: Wearable and mobile sensor technologies can be useful tools in precision nutrition research and practice, but few are reliable for obtaining accurate and precise measurements of diet and nutrition. OBJECTIVE: This study aimed to assess the ability of wearable technology to monitor the nu...

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Autores principales: Dimitratos, Sarah M, German, J Bruce, Schaefer, Sara E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407252/
https://www.ncbi.nlm.nih.gov/pubmed/32706729
http://dx.doi.org/10.2196/16405
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author Dimitratos, Sarah M
German, J Bruce
Schaefer, Sara E
author_facet Dimitratos, Sarah M
German, J Bruce
Schaefer, Sara E
author_sort Dimitratos, Sarah M
collection PubMed
description BACKGROUND: Wearable and mobile sensor technologies can be useful tools in precision nutrition research and practice, but few are reliable for obtaining accurate and precise measurements of diet and nutrition. OBJECTIVE: This study aimed to assess the ability of wearable technology to monitor the nutritional intake of adult participants. This paper describes the development of a reference method to validate the wristband’s estimation of daily nutritional intake of 25 free-living study participants and to evaluate the accuracy (kcal/day) and practical utility of the technology. METHODS: Participants were asked to use a nutrition tracking wristband and an accompanying mobile app consistently for two 14-day test periods. A reference method was developed to validate the estimation of daily nutritional intake of participants by the wristband. The research team collaborated with a university dining facility to prepare and serve calibrated study meals and record the energy and macronutrient intake of each participant. A continuous glucose monitoring system was used to measure adherence with dietary reporting protocols, but these findings are not reported. Bland-Altman tests were used to compare the reference and test method outputs (kcal/day). RESULTS: A total of 304 input cases were collected of daily dietary intake of participants (kcal/day) measured by both reference and test methods. The Bland-Altman analysis had a mean bias of −105 kcal/day (SD 660), with 95% limits of agreement between −1400 and 1189. The regression equation of the plot was Y=−0.3401X+1963, which was significant (P<.001), indicating a tendency for the wristband to overestimate for lower calorie intake and underestimate for higher intake. Researchers observed transient signal loss from the sensor technology of the wristband to be a major source of error in computing dietary intake among participants. CONCLUSIONS: This study documents high variability in the accuracy and utility of a wristband sensor to track nutritional intake, highlighting the need for reliable, effective measurement tools to facilitate accurate, precision-based technologies for personal dietary guidance and intervention.
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spelling pubmed-74072522020-08-17 Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study Dimitratos, Sarah M German, J Bruce Schaefer, Sara E JMIR Mhealth Uhealth Original Paper BACKGROUND: Wearable and mobile sensor technologies can be useful tools in precision nutrition research and practice, but few are reliable for obtaining accurate and precise measurements of diet and nutrition. OBJECTIVE: This study aimed to assess the ability of wearable technology to monitor the nutritional intake of adult participants. This paper describes the development of a reference method to validate the wristband’s estimation of daily nutritional intake of 25 free-living study participants and to evaluate the accuracy (kcal/day) and practical utility of the technology. METHODS: Participants were asked to use a nutrition tracking wristband and an accompanying mobile app consistently for two 14-day test periods. A reference method was developed to validate the estimation of daily nutritional intake of participants by the wristband. The research team collaborated with a university dining facility to prepare and serve calibrated study meals and record the energy and macronutrient intake of each participant. A continuous glucose monitoring system was used to measure adherence with dietary reporting protocols, but these findings are not reported. Bland-Altman tests were used to compare the reference and test method outputs (kcal/day). RESULTS: A total of 304 input cases were collected of daily dietary intake of participants (kcal/day) measured by both reference and test methods. The Bland-Altman analysis had a mean bias of −105 kcal/day (SD 660), with 95% limits of agreement between −1400 and 1189. The regression equation of the plot was Y=−0.3401X+1963, which was significant (P<.001), indicating a tendency for the wristband to overestimate for lower calorie intake and underestimate for higher intake. Researchers observed transient signal loss from the sensor technology of the wristband to be a major source of error in computing dietary intake among participants. CONCLUSIONS: This study documents high variability in the accuracy and utility of a wristband sensor to track nutritional intake, highlighting the need for reliable, effective measurement tools to facilitate accurate, precision-based technologies for personal dietary guidance and intervention. JMIR Publications 2020-07-22 /pmc/articles/PMC7407252/ /pubmed/32706729 http://dx.doi.org/10.2196/16405 Text en ©Sarah M Dimitratos, J Bruce German, Sara E Schaefer. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 22.07.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Dimitratos, Sarah M
German, J Bruce
Schaefer, Sara E
Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
title Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
title_full Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
title_fullStr Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
title_full_unstemmed Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
title_short Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
title_sort wearable technology to quantify the nutritional intake of adults: validation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407252/
https://www.ncbi.nlm.nih.gov/pubmed/32706729
http://dx.doi.org/10.2196/16405
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