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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/37101

Title: 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
Authors: Orme, Mark W.
Steiner, Michael
Morgan, Matthew David
Kingsnorth, Andrew P.
Esliger, Dale W.
Singh, Sally
Sherar, Lauren B.
Keywords: Accelerometry
COPD
Physical activity
Principal components analysis
Sedentary behavior
Issue Date: 2019
Publisher: Dove Medical Press Ltd
Citation: ORME, M.W. ... et al, 2019. 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics. International Journal of Chronic Obstructive Pulmonary Disease, 14, pp.419-430.
Abstract: 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.
Description: This is an Open Access Article. It is published by Dove Medical Press Ltd under the Creative Commons Attribution-NonCommercial 3.0 Unported Licence (CC BY-NC 3.0). Full details of this licence are available at:https://creativecommons.org/licenses/by-nc/3.0/
Sponsor: The study was funded by facilitation funds from the NHS England.
Version: Published
DOI: 10.2147/copd.s183029
URI: https://dspace.lboro.ac.uk/2134/37101
Publisher Link: https://doi.org/10.2147/copd.s183029
ISSN: 1176-9106
Appears in Collections:Published Articles (Sport, Exercise and Health Sciences)

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