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Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Sep 9
PMID 37687813
Authors
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Abstract

Physical activity is increasingly being captured by accelerometers worn on different body locations. The aim of this study was to examine the associations between physical activity volume (average acceleration), intensity (intensity gradient) and cardiometabolic health when assessed by a thigh-worn and wrist-worn accelerometer. A sample of 659 office workers wore an Axivity AX3 on the non-dominant wrist and an activPAL3 micro on the right thigh concurrently for 24 h a day for 8 days. An average acceleration (proxy for physical activity volume) and intensity gradient (intensity distribution) were calculated from both devices using the open-source raw accelerometer processing software GGIR. Clustered cardiometabolic risk (CMR) was calculated using markers of cardiometabolic health, including waist circumference, triglycerides, HDL-cholesterol, mean arterial pressure and fasting glucose. Linear regression analysis assessed the associations between physical activity volume and intensity gradient with cardiometabolic health. Physical activity volume derived from the thigh-worn activPAL and the wrist-worn Axivity were beneficially associated with CMR and the majority of individual health markers, but associations only remained significant after adjusting for physical activity intensity in the thigh-worn activPAL. Physical activity intensity was associated with CMR score and individual health markers when derived from the wrist-worn Axivity, and these associations were independent of volume. Associations between cardiometabolic health and physical activity volume were similarly captured by the thigh-worn activPAL and the wrist-worn Axivity. However, only the wrist-worn Axivity captured aspects of the intensity distribution associated with cardiometabolic health. This may relate to the reduced range of accelerations detected by the thigh-worn activPAL.

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References
1.
Backes A, Aguayo G, Collings P, El Fatouhi D, Fagherazzi G, Malisoux L . Associations Between Wearable-Specific Indicators of Physical Activity Behaviour and Insulin Sensitivity and Glycated Haemoglobin in the General Population: Results from the ORISCAV-LUX 2 Study. Sports Med Open. 2022; 8(1):146. PMC: 9743939. DOI: 10.1186/s40798-022-00541-9. View

2.
Strain T, Wijndaele K, Dempsey P, Sharp S, Pearce M, Jeon J . Wearable-device-measured physical activity and future health risk. Nat Med. 2020; 26(9):1385-1391. PMC: 7116559. DOI: 10.1038/s41591-020-1012-3. View

3.
Bastianelli K, Ledin S, Chen J . Comparing the Accuracy of 2 Point-of-Care Lipid Testing Devices. J Pharm Pract. 2016; 30(5):490-497. DOI: 10.1177/0897190016651546. View

4.
Rowlands A, Fairclough S, Yates T, Edwardson C, Davies M, Munir F . Activity Intensity, Volume, and Norms: Utility and Interpretation of Accelerometer Metrics. Med Sci Sports Exerc. 2019; 51(11):2410-2422. DOI: 10.1249/MSS.0000000000002047. View

5.
Grant D, Dunseath G, Churm R, Luzio S . Comparison of a point-of-care analyser for the determination of HbA1c with HPLC method. Pract Lab Med. 2017; 8:26-29. PMC: 5575368. DOI: 10.1016/j.plabm.2017.04.001. View