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24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics

BACKGROUND: The constructs and interdependency of physical behaviors are not well described and the complexity of physical activity (PA) data analysis remains unexplored in COPD. This study examined the interrelationships of 24-hour physical behaviors and investigated their associations with partici...

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Autores principales: Orme, Mark W, Steiner, Michael C, Morgan, Mike D, Kingsnorth, Andrew P, Esliger, Dale W, Singh, Sally J, Sherar, Lauren B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388788/
https://www.ncbi.nlm.nih.gov/pubmed/30863042
http://dx.doi.org/10.2147/COPD.S183029
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author Orme, Mark W
Steiner, Michael C
Morgan, Mike D
Kingsnorth, Andrew P
Esliger, Dale W
Singh, Sally J
Sherar, Lauren B
author_facet Orme, Mark W
Steiner, Michael C
Morgan, Mike D
Kingsnorth, Andrew P
Esliger, Dale W
Singh, Sally J
Sherar, Lauren B
author_sort Orme, Mark W
collection PubMed
description BACKGROUND: The constructs and interdependency of physical behaviors are not well described and the complexity of physical activity (PA) data analysis remains unexplored in COPD. This study examined the interrelationships of 24-hour physical behaviors and investigated their associations with participant characteristics for individuals with mild–moderate airflow obstruction and healthy control subjects. PATIENTS AND METHODS: Vigorous PA (VPA), moderate-to-vigorous PA (MVPA), light PA (LPA), stationary time (ST), average movement intensity (vector magnitude counts per minute), and sleep duration for 109 individuals with COPD and 135 healthy controls were obtained by wrist-worn accelerometry. Principal components analysis (PCA) examined interrelationships of physical behaviors to identify distinct behavioral constructs. Using the PCA component loadings, linear regressions examined associations with participant (+, positive correlation; -, negative correlation), and were compared between COPD and healthy control groups. RESULTS: For both groups PCA revealed ST, LPA, and average movement intensity as distinct behavioral constructs to MVPA and VPA, labeled “low-intensity movement” and “high-intensity movement,” respectively. Sleep was also found to be its own distinct behavioral construct. Results from linear regressions supported the identification of distinct behavioral constructs from PCA. In COPD, low-intensity movement was associated with limitations with mobility (−), daily activities (−), health status (+), and body mass index (BMI) (−) independent of high-intensity movement and sleep. High-intensity movement was associated with age (−) and self-care limitations (−) independent of low-intensity movement and sleep. Sleep was associated with gender (0= female, 1= male; [−]), lung function (−), and percentage body fat (+) independent of low-intensity and high-intensity movement. CONCLUSION: Distinct behavioral constructs comprising the 24-hour day were identified as “low-intensity movement,” “high-intensity movement,” and “sleep” with each construct independently associated with different participant characteristics. Future research should determine whether modifying these behaviors improves health outcomes in COPD.
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spelling pubmed-63887882019-03-12 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics Orme, Mark W Steiner, Michael C Morgan, Mike D Kingsnorth, Andrew P Esliger, Dale W Singh, Sally J Sherar, Lauren B Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: The constructs and interdependency of physical behaviors are not well described and the complexity of physical activity (PA) data analysis remains unexplored in COPD. This study examined the interrelationships of 24-hour physical behaviors and investigated their associations with participant characteristics for individuals with mild–moderate airflow obstruction and healthy control subjects. PATIENTS AND METHODS: Vigorous PA (VPA), moderate-to-vigorous PA (MVPA), light PA (LPA), stationary time (ST), average movement intensity (vector magnitude counts per minute), and sleep duration for 109 individuals with COPD and 135 healthy controls were obtained by wrist-worn accelerometry. Principal components analysis (PCA) examined interrelationships of physical behaviors to identify distinct behavioral constructs. Using the PCA component loadings, linear regressions examined associations with participant (+, positive correlation; -, negative correlation), and were compared between COPD and healthy control groups. RESULTS: For both groups PCA revealed ST, LPA, and average movement intensity as distinct behavioral constructs to MVPA and VPA, labeled “low-intensity movement” and “high-intensity movement,” respectively. Sleep was also found to be its own distinct behavioral construct. Results from linear regressions supported the identification of distinct behavioral constructs from PCA. In COPD, low-intensity movement was associated with limitations with mobility (−), daily activities (−), health status (+), and body mass index (BMI) (−) independent of high-intensity movement and sleep. High-intensity movement was associated with age (−) and self-care limitations (−) independent of low-intensity movement and sleep. Sleep was associated with gender (0= female, 1= male; [−]), lung function (−), and percentage body fat (+) independent of low-intensity and high-intensity movement. CONCLUSION: Distinct behavioral constructs comprising the 24-hour day were identified as “low-intensity movement,” “high-intensity movement,” and “sleep” with each construct independently associated with different participant characteristics. Future research should determine whether modifying these behaviors improves health outcomes in COPD. Dove Medical Press 2019-02-18 /pmc/articles/PMC6388788/ /pubmed/30863042 http://dx.doi.org/10.2147/COPD.S183029 Text en © 2019 Orme et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Orme, Mark W
Steiner, Michael C
Morgan, Mike D
Kingsnorth, Andrew P
Esliger, Dale W
Singh, Sally J
Sherar, Lauren B
24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
title 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
title_full 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
title_fullStr 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
title_full_unstemmed 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
title_short 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
title_sort 24-hour accelerometry in copd: exploring physical activity, sedentary behavior, sleep and clinical characteristics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388788/
https://www.ncbi.nlm.nih.gov/pubmed/30863042
http://dx.doi.org/10.2147/COPD.S183029
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