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A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour

BACKGROUND: The widely accepted definition of sedentary behaviour [SB] refers to any waking behaviour characterized by an energy expenditure ≤1.5 metabolic equivalents [METs] while in a sitting or reclining posture. At present, there is no single field-based device which objectively measures sleep,...

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Autores principales: Myers, Anna, Gibbons, Catherine, Butler, Edward, Dalton, Michelle, Buckland, Nicola, Blundell, John, Finlayson, Graham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745922/
https://www.ncbi.nlm.nih.gov/pubmed/29282037
http://dx.doi.org/10.1186/s12889-017-4994-0
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author Myers, Anna
Gibbons, Catherine
Butler, Edward
Dalton, Michelle
Buckland, Nicola
Blundell, John
Finlayson, Graham
author_facet Myers, Anna
Gibbons, Catherine
Butler, Edward
Dalton, Michelle
Buckland, Nicola
Blundell, John
Finlayson, Graham
author_sort Myers, Anna
collection PubMed
description BACKGROUND: The widely accepted definition of sedentary behaviour [SB] refers to any waking behaviour characterized by an energy expenditure ≤1.5 metabolic equivalents [METs] while in a sitting or reclining posture. At present, there is no single field-based device which objectively measures sleep, posture and activity intensity simultaneously. The aim of this study was to develop a novel integrative procedure [INT] to combine information from two validated activity monitors on sleep, activity intensity and posture, the three key dimensions of SB. METHODS: Participants in this analysis were initially recruited from a series of three studies conducted between December 2014 and June 2016 at the University of Leeds. Sixty-three female participants aged 37.1 (13.6) years with a body mass index of 29.6 (4.7) kg/m(2) were continuously monitored for 5–7 days with the SenseWear Armband [SWA] (sleep and activity intensity) and the activPAL [AP] (posture). Data from both activity monitors were analysed separately and integrated resulting in three measures of sedentary time. Differences in Sedentary time between the three measurement methods were assessed as well as how well the three measures correlated. RESULTS: The three measures of sedentary time were positively correlated, with the weakest relationship between SED(SWA) (awake and <1.5 METs) and SED(AP) (awake and sitting/lying posture) [r(61) = .37,p = .003], followed by SED(SWA) and SED(INT) (awake, <1.5 METs and sitting/lying posture) [r(61) = .58,p < .001], and the strongest relationship was between SED(AP) and SED(INT) [r(61) = .91,p < .001]. There was a significant difference between the three measures of sedentary time [F(1.18,73.15) = 104.70,p < .001]. Post-hoc tests revealed all three methods differed significantly from each other [p < .001]. SED(SWA) resulted in the most sedentary time 11.74 (1.60) hours/day, followed by SED(AP) 10.16 (1.75) hours/day, and SED(INT) 9.10 (1.67) hours/day. Weekday and weekend day sedentary time did not differ for any of the measurement methods [p = .04–.25]. CONCLUSION: Information from two validated activity monitors was combined to obtain an objective measure of free-living SB based on posture and activity intensity during waking hours. The amount of sedentary time accumulated varied according to the definition of SB and its measurement. The novel data integration and processing procedures presented in this paper represents an opportunity to investigate whether different components of SB are differentially related to health end points.
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spelling pubmed-57459222018-01-03 A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour Myers, Anna Gibbons, Catherine Butler, Edward Dalton, Michelle Buckland, Nicola Blundell, John Finlayson, Graham BMC Public Health Technical Advance BACKGROUND: The widely accepted definition of sedentary behaviour [SB] refers to any waking behaviour characterized by an energy expenditure ≤1.5 metabolic equivalents [METs] while in a sitting or reclining posture. At present, there is no single field-based device which objectively measures sleep, posture and activity intensity simultaneously. The aim of this study was to develop a novel integrative procedure [INT] to combine information from two validated activity monitors on sleep, activity intensity and posture, the three key dimensions of SB. METHODS: Participants in this analysis were initially recruited from a series of three studies conducted between December 2014 and June 2016 at the University of Leeds. Sixty-three female participants aged 37.1 (13.6) years with a body mass index of 29.6 (4.7) kg/m(2) were continuously monitored for 5–7 days with the SenseWear Armband [SWA] (sleep and activity intensity) and the activPAL [AP] (posture). Data from both activity monitors were analysed separately and integrated resulting in three measures of sedentary time. Differences in Sedentary time between the three measurement methods were assessed as well as how well the three measures correlated. RESULTS: The three measures of sedentary time were positively correlated, with the weakest relationship between SED(SWA) (awake and <1.5 METs) and SED(AP) (awake and sitting/lying posture) [r(61) = .37,p = .003], followed by SED(SWA) and SED(INT) (awake, <1.5 METs and sitting/lying posture) [r(61) = .58,p < .001], and the strongest relationship was between SED(AP) and SED(INT) [r(61) = .91,p < .001]. There was a significant difference between the three measures of sedentary time [F(1.18,73.15) = 104.70,p < .001]. Post-hoc tests revealed all three methods differed significantly from each other [p < .001]. SED(SWA) resulted in the most sedentary time 11.74 (1.60) hours/day, followed by SED(AP) 10.16 (1.75) hours/day, and SED(INT) 9.10 (1.67) hours/day. Weekday and weekend day sedentary time did not differ for any of the measurement methods [p = .04–.25]. CONCLUSION: Information from two validated activity monitors was combined to obtain an objective measure of free-living SB based on posture and activity intensity during waking hours. The amount of sedentary time accumulated varied according to the definition of SB and its measurement. The novel data integration and processing procedures presented in this paper represents an opportunity to investigate whether different components of SB are differentially related to health end points. BioMed Central 2017-12-28 /pmc/articles/PMC5745922/ /pubmed/29282037 http://dx.doi.org/10.1186/s12889-017-4994-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Advance
Myers, Anna
Gibbons, Catherine
Butler, Edward
Dalton, Michelle
Buckland, Nicola
Blundell, John
Finlayson, Graham
A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
title A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
title_full A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
title_fullStr A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
title_full_unstemmed A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
title_short A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
title_sort novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745922/
https://www.ncbi.nlm.nih.gov/pubmed/29282037
http://dx.doi.org/10.1186/s12889-017-4994-0
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