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dc.contributor.authorBort-Roig, Judit
dc.contributor.authorChirveches-Pérez, Emilia
dc.contributor.authorGarcia-Cuyàs, Francesc
dc.contributor.authorDowd, Kieran P.
dc.contributor.authorPuig-Ribera, Anna
dc.date.accessioned2020-06-02T13:43:37Z
dc.date.available2020-06-02T13:43:37Z
dc.date.copyright2019
dc.date.issued2020-05-14
dc.identifier.citationBort-Roig, J., Chirveches-Pérez, E., Garcia-Cuyàs, F., Dowd, K.P., Puig-Ribera, A. (2020). Validation of the W@WApp + MetaWearC sensor to monitor occupational sitting, standing and stepping in office employees: validation study. JMIR mHealth and uHealth. 2020 May 14. doi: 10.2196/15338. Online ahead of print..en_US
dc.identifier.issn2291-5222
dc.identifier.otherArticles - Sports & Health Sciences AITen_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3277
dc.description.abstractBackground: Replacing occupational sitting time with active tasks has several proposed health benefits for office employees. Smartphones and motion sensors, can provide objective information in real time on occupational sedentary behaviour (SB) – a key determinant of health. However, the validity and feasibility of using mHealth devices to quantify and modify occupational sedentary time is unclear. Objective: To validate the new Walk@Work-Application (W@WApp) – including an external motion sensor (MetaWearC) attached to the thigh – for measuring occupational sitting, standing and movement in free-living conditions against the activPAL3M as a criterion measure. evices to quantify and modify occupational sedentary time is unclear. Methods: Twenty office-workers (80% female, 39.5±8.1 yrs.) downloaded the W@WApp to their smartphones, wore a MetaWearC attached to their thigh in a tailored band and wore the activPAL3M for three to eight consecutive working hours. Differences between the two measures were examined using the Wilcoxon signed-rank tests. Associations between both measures were determined using the Spearman rank-order correlation coefficients, while agreement between measures were presented using Bland-Altman plots.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.publisherJMIRen_US
dc.relation.ispartofJMIR mHealth and uHealthen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ie/*
dc.subjectValidityen_US
dc.subjectSelf-monitoringen_US
dc.subjectSedentary behaviouren_US
dc.subjectPhysical activityen_US
dc.subjectSmart phoneen_US
dc.subjectDevice-based measureen_US
dc.titleValidation of the W@WApp + MetaWearC sensor to monitor occupational sitting, standing and stepping in office employees: validation study.en_US
dc.typeArticleen_US
dc.contributor.grantnoW@WApp-Diab; PI17/01788en_US
dc.contributor.sponsorCarlos III Health Institute W@WApp-Diab; PI17/01788en_US
dc.description.peerreviewyesen_US
dc.identifier.doidoi: 10.2196/15338
dc.identifier.orcidhttps://orcid.org/0000-0002-1841-1604
dc.rights.accessOpen Accessen_US
dc.subject.departmentFaculty of Science & Health AITen_US


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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland