Brocklebank, Laura;
Steptoe, Andrew;
Zhao, Yaohui;
Bloomberg, Mikaela;
Acquah, Aidan;
Yuan, Hang;
Chan, Shing;
... Doherty, Aiden; + view all
(2025)
Comparing Two Wrist-Worn Accelerometers (Axivity AX3 and Matrix 003) for Measuring Movement Behaviors in British and Chinese Older Adults.
Journal for the Measurement of Physical Behaviour
, 8
(1)
, Article 11. 10.1123/jmpb.2025-0011.
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Abstract
Introduction: Two nationally representative cohorts, the English Longitudinal Study of Aging and the China Health and Retirement Longitudinal Study, recently introduced accelerometry to measure movement behaviors. However, the use of different brands (Axivity AX3 and Matrix 003) may hinder data harmonization. This study assessed whether the raw acceleration data and machine learning-derived physical activity and sleep outcomes were equivalent between these two accelerometers in both British and Chinese adults. Methods: Eighty-five British and 117 Chinese adults aged ≥50 years wore both accelerometers in a random order on their dominant wrist for up to 8 days. Data were processed using UK-derived machine learning algorithms to generate outcomes, such as average acceleration (mg), time in 24-hr movement behaviors (hours per day), daily step count, and sleep duration (hours per night). Equivalency was assessed using 95% equivalence tests (±10% equivalence zone). Results: In both British and Chinese adults, average acceleration, sedentary time, time in bed, and sleep duration were equivalent between the two accelerometers, while time in moderate to vigorous physical activity was not (±17.7% in British and ±28.2% in Chinese adults). Time in light physical activity was equivalent in British (±6.2%) but borderline in Chinese adults (±10.3%), whereas the opposite was observed for daily step count (±10.5% in British and ±2.9% in Chinese adults). Conclusion: Average acceleration was comparable between the Axivity AX3 and the Matrix 003 in both British and Chinese adults. Machine learning-derived outcomes were also largely comparable; however, the cross-nationality differences highlight the need for further population-specific algorithm development and validation.
| Type: | Article |
|---|---|
| Title: | Comparing Two Wrist-Worn Accelerometers (Axivity AX3 and Matrix 003) for Measuring Movement Behaviors in British and Chinese Older Adults |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1123/jmpb.2025-0011 |
| Publisher version: | https://doi.org/10.1123/jmpb.2025-0011 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Sport Sciences, raw acceleration, machine learning, physical activity, sleep, data harmonization, cross-nationality comparison, PHYSICAL-ACTIVITY, COHORT PROFILE, HEALTH |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10218718 |
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