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

Authors :
Dimitratos SM
German JB
Schaefer SE
Source :
JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2020 Jul 22; Vol. 8 (7), pp. e16405. Date of Electronic Publication: 2020 Jul 22.
Publication Year :
2020

Abstract

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.<br />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.<br />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).<br />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.<br />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.<br /> (©Sarah M Dimitratos, J Bruce German, Sara E Schaefer. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 22.07.2020.)

Details

Language :
English
ISSN :
2291-5222
Volume :
8
Issue :
7
Database :
MEDLINE
Journal :
JMIR mHealth and uHealth
Publication Type :
Academic Journal
Accession number :
32706729
Full Text :
https://doi.org/10.2196/16405