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

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...

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Autores principales: Maylor, Benjamin D., Edwardson, Charlotte L., Clarke-Cornwell, Alexandra M., Davies, Melanie J., Dawkins, Nathan P., Dunstan, David W., Khunti, Kamlesh, Yates, Tom, Rowlands, Alex V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489920/
https://www.ncbi.nlm.nih.gov/pubmed/37687813
http://dx.doi.org/10.3390/s23177353
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author Maylor, Benjamin D.
Edwardson, Charlotte L.
Clarke-Cornwell, Alexandra M.
Davies, Melanie J.
Dawkins, Nathan P.
Dunstan, David W.
Khunti, Kamlesh
Yates, Tom
Rowlands, Alex V.
author_facet Maylor, Benjamin D.
Edwardson, Charlotte L.
Clarke-Cornwell, Alexandra M.
Davies, Melanie J.
Dawkins, Nathan P.
Dunstan, David W.
Khunti, Kamlesh
Yates, Tom
Rowlands, Alex V.
author_sort Maylor, Benjamin D.
collection PubMed
description 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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spelling pubmed-104899202023-09-09 Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health Maylor, Benjamin D. Edwardson, Charlotte L. Clarke-Cornwell, Alexandra M. Davies, Melanie J. Dawkins, Nathan P. Dunstan, David W. Khunti, Kamlesh Yates, Tom Rowlands, Alex V. Sensors (Basel) Article 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. MDPI 2023-08-23 /pmc/articles/PMC10489920/ /pubmed/37687813 http://dx.doi.org/10.3390/s23177353 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maylor, Benjamin D.
Edwardson, Charlotte L.
Clarke-Cornwell, Alexandra M.
Davies, Melanie J.
Dawkins, Nathan P.
Dunstan, David W.
Khunti, Kamlesh
Yates, Tom
Rowlands, Alex V.
Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health
title Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health
title_full Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health
title_fullStr Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health
title_full_unstemmed Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health
title_short Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health
title_sort physical activity assessed by wrist and thigh worn accelerometry and associations with cardiometabolic health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489920/
https://www.ncbi.nlm.nih.gov/pubmed/37687813
http://dx.doi.org/10.3390/s23177353
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