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dc.contributor.authorvan der Berg, Julianne D.
dc.contributor.authorStehouwer, Coen D.A.
dc.contributor.authorBosma, Hans
dc.contributor.authorCaserotti, Paolo
dc.contributor.authorEiríksdóttir, Gudny
dc.contributor.authorArnardóttir, Nanna Y.
dc.contributor.authorvan Domelen, Dane R.
dc.contributor.authorBrychta, Robert J.
dc.contributor.authorChen, Kong Y.
dc.contributor.authorSveinsson, Thorarinn
dc.contributor.authorJohannsson, Erlingur
dc.contributor.authorLauner, Lenore J.
dc.contributor.authorGudnason, Vilmundur
dc.contributor.authorJonsson, Palmi V.
dc.contributor.authorHarris, Tamara B.
dc.contributor.authorKoster, Annemarie
dc.coverage.spatialNetherlands, Maastrichten_US
dc.date.accessioned2020-08-27T11:40:58Z
dc.date.available2020-08-27T11:40:58Z
dc.date.created2020-03-24T13:59:36Z
dc.date.issued2019
dc.identifier.citationvan der Berg, J. D., Stehouwer, C. D. A., Bosma, H., Caserotti, P., Eiriksdottir, G., Arnardottir, N. Y., … Koster, A. (2019). Dynamic sitting: Measurement and associations with metabolic health. Journal of Sports Sciences, 37(15), 1746-1754.en_US
dc.identifier.issn0264-0414
dc.identifier.urihttps://hdl.handle.net/11250/2675387
dc.description.abstractDynamic sitting, such as fidgeting and desk work, might be associated with health, but remains difficult to identify out of accelerometry data. We examined, in a laboratory study, whether dynamic sitting can be identified out of triaxial activity counts. Among 18 participants (56% men, 27.3 ± 6.5 years), up to 236 counts per minute were recorded in the anteroposterior and mediolateral axes during dynamic sitting using a hip-worn accelerometer. Subsequently, we examined in 621 participants (38% men, 80.0 ± 4.7 years) from the AGES-Reykjavik Study whether dynamic sitting was associated with cardio-metabolic health. Compared to participants who recorded the fewest dynamic sitting minutes (Q1), those with more dynamic sitting minutes had a lower BMI (Q2 = −1.39 (95%CI = −2.33;–0.46); Q3 = −1.87 (−2.82;–0.92); Q4 = −3.38 (−4.32;–2.45)), a smaller waist circumference (Q2 = −2.95 (−5.44;–0.46); Q3 = −3.47 (−6.01;–0.93); Q4 = −8.21 (−10.72;–5.71)), and a lower odds for the metabolic syndrome (Q2 = 0.74 [0.45;1.20] Q3 = 0.58 [0.36;0.95]; Q4 = 0.36 [0.22;0.59]). Our findings suggest that dynamic sitting might be identified using accelerometry and that this behaviour was associated with health. This might be important given the large amounts of time people spend sitting. Future studies with a focus on validation, causation and physiological pathways are needed to further examine the possible relevance of dynamic sitting.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectdynamic sittingen_US
dc.subjectsedentary behaviouren_US
dc.subjectmetabolic syndromeen_US
dc.subjectBMIen_US
dc.subjectaccelerometryen_US
dc.titleDynamic sitting: Measurement and associations with metabolic healthen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2019 The Author(s)en_US
dc.source.pagenumber1746-1754en_US
dc.source.volume37en_US
dc.source.journalJournal of Sports Sciencesen_US
dc.source.issue15en_US
dc.identifier.doi10.1080/02640414.2019.1592800
dc.identifier.cristin1803256
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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