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Providing a Basis for Harmonization of Accelerometer-Assessed Physical Activity Outcomes Across Epidemiological Datasets

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journal contribution
posted on 2019-04-17, 14:58 authored by A Rowlands, T Plekhanova, T Yates, E Mirkes, M Davies, K Khunti, C Edwardson
Introduction: To capitalize on the increasing availability of accelerometry data for epidemiological research it is desirable to compare and/or pool data from surveys worldwide. This study aimed to establish whether free-living physical activity outcomes can be considered equivalent between three research-grade accelerometer brands worn on the dominant and non-dominant wrist. Of prime interest were the average acceleration (ACC) and the intensity gradient (IG). These two metrics describe the volume and intensity of the complete activity profile; further, they are comparable across populations making them ideal for comparing and/or pooling activity data. Methods: Forty-eight adults wore a GENEActiv, Axivity, and ActiGraph on both wrists for up to 7-days. Data were processed using open-source software (GGIR) to generate physical activity outcomes, including ACC and IG. Agreement was assessed using pairwise 95% equivalence tests (±10% equivalence zone) and intra-class correlation coefficients (ICC). Results: ACC was equivalent between brands when measured at the non-dominant wrist (ICC ≥ 0.93), but approximately 10% higher when measured at the dominant wrist (GENEActiv and Axivity only, ICC ≥ 0.83). The IG was equivalent irrespective of monitor brand or wrist (ICC ≥ 0.88). After adjusting ACC measured at the dominant wrist by −10% (GENEActiv and Axivity only), ACC was also within (or marginally outside) the 10% equivalence zone for all monitor pairings. Conclusion: If average acceleration is decreased by 10% for studies deploying monitors on the dominant wrist (GENEActiv and Axivity only), ACC and IG may be suitable for comparing and/or collating physical activity outcomes across accelerometer datasets, regardless of monitor brand and wrist.

Funding

This research was supported by the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre and the NIHR Collaboration for Leadership in Applied Health Research and Care – East Midlands.

History

Citation

Journal for the Measurement of Physical Behaviours, 2019, 2 (3), pp. 131-142

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Diabetes Research Centre

Version

  • AM (Accepted Manuscript)

Published in

Journal for the Measurement of Physical Behaviours

Volume

2

Issue

3

Pagination

131-142

Publisher

Human Kinetics

issn

2575-6605

eissn

2575-6613

Acceptance date

2019-03-14

Copyright date

2019

Available date

2019-09-01

Notes

Anonymised datasets generated during the current study are available on reasonable request. Requests for access to data should be addressed to the corresponding author at alex.rowlands@le.ac.uk. All proposals requesting data access will need to specify how it is planned to use the data, and all proposals will need approval of the co-investigator team before data release.;The file associated with this record is under embargo until publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en

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