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dc.contributor.authorHendrickx, W
dc.contributor.authorRiveros, Carlos
dc.contributor.authorAskim, Torunn
dc.contributor.authorBussmann, JBJ
dc.contributor.authorCallisaya, Michele L.
dc.contributor.authorChastin, Sebastien F.M.
dc.contributor.authorDean, C.
dc.contributor.authorEzeugwu, VE
dc.contributor.authorjones, TM
dc.contributor.authorkuys, SS
dc.contributor.authorMahendran, N
dc.contributor.authorManns, TJ
dc.contributor.authorMead, Gillian
dc.contributor.authorMoore, SA
dc.contributor.authorPaul, L.
dc.contributor.authorPisters, MF
dc.contributor.authorSaunders, DH
dc.contributor.authorSimpson, DB
dc.contributor.authorTieges, Z
dc.contributor.authorVerschuren, O
dc.contributor.authorEnglish, Coralie
dc.date.accessioned2019-06-19T05:54:59Z
dc.date.available2019-06-19T05:54:59Z
dc.date.created2019-06-18T13:26:36Z
dc.date.issued2019
dc.identifier.citationTopics in Stroke Rehabilitation. 2019, 26(5), 327-334nb_NO
dc.identifier.issn1074-9357
dc.identifier.urihttp://hdl.handle.net/11250/2601257
dc.description.abstractBackground: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke. Objective: This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke. Methods: For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data. The data was reprocessed, algorithms were created to identify sleep-wake time and determine the percentage of waking hours spent sedentary. We explored demographic and stroke-related factors associated with total sedentary time and time in uninterrupted sedentary bouts using unique, both univariable and multivariable, regression analyses. Results: The 274 included participants were from Australia, Canada, and the United Kingdom, and spent, on average, 69% (SD 12.4) of their waking hours sedentary. Of the demographic and stroke-related factors, slower walking speeds were significantly and independently associated with a higher percentage of waking hours spent sedentary (p = 0.001) and uninterrupted sedentary bouts of >30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11–19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleIdentifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.journalTopics in Stroke Rehabilitationnb_NO
dc.identifier.doi10.1080/10749357.2019.1601419
dc.identifier.cristin1705704
dc.description.localcode© 2019 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.nb_NO
cristin.unitcode194,65,30,0
cristin.unitnameInstitutt for nevromedisin og bevegelsesvitenskap
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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