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Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health

High physical activity levels during wake are beneficial for health, while high movement levels during sleep are detrimental to health. Our aim was to compare the associations of accelerometer-assessed physical activity and sleep disruption with adiposity and fitness using standardized and individua...

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Autores principales: Rowlands, Alex V., van Hees, Vincent T., Dawkins, Nathan P., Maylor, Benjamin D., Plekhanova, Tatiana, Henson, Joseph, Edwardson, Charlotte L., Brady, Emer M., Hall, Andrew P., Davies, Melanie J., Yates, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305417/
https://www.ncbi.nlm.nih.gov/pubmed/37420551
http://dx.doi.org/10.3390/s23125382
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author Rowlands, Alex V.
van Hees, Vincent T.
Dawkins, Nathan P.
Maylor, Benjamin D.
Plekhanova, Tatiana
Henson, Joseph
Edwardson, Charlotte L.
Brady, Emer M.
Hall, Andrew P.
Davies, Melanie J.
Yates, Thomas
author_facet Rowlands, Alex V.
van Hees, Vincent T.
Dawkins, Nathan P.
Maylor, Benjamin D.
Plekhanova, Tatiana
Henson, Joseph
Edwardson, Charlotte L.
Brady, Emer M.
Hall, Andrew P.
Davies, Melanie J.
Yates, Thomas
author_sort Rowlands, Alex V.
collection PubMed
description High physical activity levels during wake are beneficial for health, while high movement levels during sleep are detrimental to health. Our aim was to compare the associations of accelerometer-assessed physical activity and sleep disruption with adiposity and fitness using standardized and individualized wake and sleep windows. People (N = 609) with type 2 diabetes wore an accelerometer for up to 8 days. Waist circumference, body fat percentage, Short Physical Performance Battery (SPPB) test score, sit-to-stands, and resting heart rate were assessed. Physical activity was assessed via the average acceleration and intensity distribution (intensity gradient) over standardized (most active 16 continuous hours (M16h)) and individualized wake windows. Sleep disruption was assessed via the average acceleration over standardized (least active 8 continuous hours (L8h)) and individualized sleep windows. Average acceleration and intensity distribution during the wake window were beneficially associated with adiposity and fitness, while average acceleration during the sleep window was detrimentally associated with adiposity and fitness. Point estimates for the associations were slightly stronger for the standardized than for individualized wake/sleep windows. In conclusion, standardized wake and sleep windows may have stronger associations with health due to capturing variations in sleep durations across individuals, while individualized windows represent a purer measure of wake/sleep behaviors.
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spelling pubmed-103054172023-06-29 Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health Rowlands, Alex V. van Hees, Vincent T. Dawkins, Nathan P. Maylor, Benjamin D. Plekhanova, Tatiana Henson, Joseph Edwardson, Charlotte L. Brady, Emer M. Hall, Andrew P. Davies, Melanie J. Yates, Thomas Sensors (Basel) Article High physical activity levels during wake are beneficial for health, while high movement levels during sleep are detrimental to health. Our aim was to compare the associations of accelerometer-assessed physical activity and sleep disruption with adiposity and fitness using standardized and individualized wake and sleep windows. People (N = 609) with type 2 diabetes wore an accelerometer for up to 8 days. Waist circumference, body fat percentage, Short Physical Performance Battery (SPPB) test score, sit-to-stands, and resting heart rate were assessed. Physical activity was assessed via the average acceleration and intensity distribution (intensity gradient) over standardized (most active 16 continuous hours (M16h)) and individualized wake windows. Sleep disruption was assessed via the average acceleration over standardized (least active 8 continuous hours (L8h)) and individualized sleep windows. Average acceleration and intensity distribution during the wake window were beneficially associated with adiposity and fitness, while average acceleration during the sleep window was detrimentally associated with adiposity and fitness. Point estimates for the associations were slightly stronger for the standardized than for individualized wake/sleep windows. In conclusion, standardized wake and sleep windows may have stronger associations with health due to capturing variations in sleep durations across individuals, while individualized windows represent a purer measure of wake/sleep behaviors. MDPI 2023-06-07 /pmc/articles/PMC10305417/ /pubmed/37420551 http://dx.doi.org/10.3390/s23125382 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
Rowlands, Alex V.
van Hees, Vincent T.
Dawkins, Nathan P.
Maylor, Benjamin D.
Plekhanova, Tatiana
Henson, Joseph
Edwardson, Charlotte L.
Brady, Emer M.
Hall, Andrew P.
Davies, Melanie J.
Yates, Thomas
Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health
title Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health
title_full Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health
title_fullStr Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health
title_full_unstemmed Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health
title_short Accelerometer-Assessed Physical Activity in People with Type 2 Diabetes: Accounting for Sleep when Determining Associations with Markers of Health
title_sort accelerometer-assessed physical activity in people with type 2 diabetes: accounting for sleep when determining associations with markers of health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305417/
https://www.ncbi.nlm.nih.gov/pubmed/37420551
http://dx.doi.org/10.3390/s23125382
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