Interchangeability of research and commercial wearable device data for assessing associations with cardiometabolic risk markers

Andrew Kingsnorth, Elena Moltchanova, Jonah Thomas, Maxine Whelan, Mark W Orme, Dale W Esliger, Matt Hobbs

Research output: Contribution to journalArticlepeer-review

4 Downloads (Pure)


Introduction: Whilst there is evidence on agreement, it is unknown whether commercial wearables can be used as surrogates for research grade devices when investigating links with markers of cardiometabolic risk. Therefore, the aim of this study was to investigate if data from a commercial wearable device could be used to assess associations between behaviour and cardiometabolic risk markers, compared to physical activity from a research grade monitor.
Methods: Forty-five adults concurrently wore a wrist-worn Fitbit Charge 2 and a waist-worn ActiGraph wGT3X-BT during waking hours over 7 consecutive days. Log-linear regression models were fitted, and predictive fit via a 1-out cross-validation was performed for each device between behavioural (steps, light and moderate-to-vigorous physical activity) and cardiometabolic variables (body mass index [BMI], weight, body fat %, systolic and diastolic blood pressure, glycated haemoglobin, grip strength, estimated maximal oxygen uptake and waist circumference).
Results: Overall, step count was the most consistent predictor of cardiometabolic risk factors, with negative associations across both Fitbit and ActiGraph devices for BMI (-0.017 vs. -0.020, pConclusions: Step count data from a commercial grade wearable device showed similar associations and predictive relationships with cardiometabolic risk markers compared to a research-grade wearable device, providing preliminary support for their use in health research.
Original languageEnglish
Pages (from-to)(In-Press)
Number of pages7
JournalJournal for the Measurement of Physical Behaviour
Early online date18 Aug 2023
Publication statusE-pub ahead of print - 18 Aug 2023

Bibliographical note

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.


  • Commercial wearables
  • step count
  • cardiometabolic risk markers
  • physical activity


Dive into the research topics of 'Interchangeability of research and commercial wearable device data for assessing associations with cardiometabolic risk markers'. Together they form a unique fingerprint.

Cite this