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

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العنوان: 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics
المؤلفون: Orme, MW, Steiner, MC, Morgan, MD, Kingsnorth, AP, Esliger, DW, Singh, SJ, Sherar, LB
بيانات النشر: Dove Medical Press
سنة النشر: 2019
المجموعة: University of Leicester: Leicester Research Archive (LRA)
مصطلحات موضوعية: Science & Technology, Life Sciences & Biomedicine, Respiratory System, accelerometry, COPD, physical activity, principal components analysis, sedentary behavior, TECHNICAL RELIABILITY
الوصف: The PhARaoH data have been described and made available indefinitely, on request. For conditions of use, please visit the following web link: http://www.lboro.ac.uk/research/ mi-lab/research/pharaoh/pharaohconditionsofuse/. To make an enquiry about using this dataset, please submit a request by visiting the following web link: http://www.lboro.ac.uk/ research/mi-lab/research/pharaoh/. Study documentation, including informed consent form, participant information sheet, and monitor instruction sheet are available on request. ; 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 (-), ...
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1178-2005
Relation: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000458893000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8c4e325952a993be76947405d4bce7d5; International Journal of Chronic Obstructive Pulmonary Disease, 2019, 14, pp. 419-430 (12); https://www.dovepress.com/24-hour-accelerometry-in-copd-exploring-physical-activity-sedentary-be-peer-reviewed-article-COPD; http://hdl.handle.net/2381/44312
DOI: 10.2147/COPD.S183029
الاتاحة: https://www.dovepress.com/24-hour-accelerometry-in-copd-exploring-physical-activity-sedentary-be-peer-reviewed-article-COPD
http://hdl.handle.net/2381/44312
https://doi.org/10.2147/COPD.S183029
Rights: Copyright © the authors, 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-commercial License (https://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted use, distribution, and reproduction in any medium non-commercially, provided the original author and source are credited.
رقم الانضمام: edsbas.698ADA0F
قاعدة البيانات: BASE
الوصف
تدمد:11782005
DOI:10.2147/COPD.S183029