Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Advertisement

Currently submitted to: JMIR mHealth and uHealth

Date Submitted: Sep 26, 2019
Open Peer Review Period: Sep 25, 2019 - Nov 18, 2019
(closed for review but you can still tweet)

NOTE: This is an unreviewed Preprint

Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note “no longer under consideration” will appear above).

Peer-review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a “Peer-Review Me” button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.

Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).

Final version: If our system detects a final peer-reviewed “version of record” (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.

Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.

Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.

New dimensions in precision health; validating a nutrition tracking technology

  • Sarah Dimitratos; 
  • John Bruce German; 
  • Sara Schaefer; 

ABSTRACT

Background:

Wearable and mobile sensors have the potential to provide utility in precision nutrition research and practice, but few reliable tools can obtain accurate and precise measurement of diet and nutrition.

Objective:

A study was conducted to assess the ability of wearable body sensors to monitor the dietary intake and metabolic responses of 25 free-living adult participants during two 14-day testing periods.

Methods:

For each testing period, participants were asked to use two wearable health technologies simultaneously; the GoBe2™ wristband and accompanying smartphone app for estimating daily calorie intake and the FreeStyle Libre™ Pro System continuous glucose monitor (CGM). The capability of the wristband technology to detect calorie intake (kcal/d) was validated by a reference method developed to directly measure participant dietary intake. The research team collaborated with a university dining facility to prepare and serve calibrated study meals and record each participant’s energy and macronutrient intake. The development and implementation of the dietary intake reference method within a normal free living population are described.

Results:

Participant calorie intake recorded by the wristband style of wearable devices was correlated with the reference measurements (Pearson’s coefficient = 0.34). Transient loss signal from sensor technologies even briefly varies across a normal population and is a major source of error in computing dietary intakes. CGM data were collected to examine and control for participant nonadherence to food reporting protocols; these are not factored into the present analyses.

Conclusions:

This study documents the accuracy and utility of current state of the art of wristband based sensor devices and highlights the need for reliable, effective measurement tools to facilitate accurate, precision based technologies for personal dietary guidance and intervention.


 Citation

Please cite as:

Dimitratos S, German JB, Schaefer S

New dimensions in precision health; validating a nutrition tracking technology

JMIR Preprints. 26/09/2019:16405

DOI: 10.2196/preprints.16405

URL: https://preprints.jmir.org/preprint/16405


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.