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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/43080
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dc.creatorGiselle Silva e Fariapt_BR
dc.creatorJanaíne Cunha Polesept_BR
dc.creatorGiane Amorim Ribeiro Samorapt_BR
dc.creatorAline Alvim Sciannipt_BR
dc.creatorChristina Danielli Coelho de Morais Fariapt_BR
dc.creatorLuci Fuscaldi Teixeira Salmelapt_BR
dc.date.accessioned2022-07-08T17:12:02Z-
dc.date.available2022-07-08T17:12:02Z-
dc.date.issued2019-05-
dc.citation.volume23pt_BR
dc.citation.issue3pt_BR
dc.citation.spage236pt_BR
dc.citation.epage243pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.bjpt.2018.08.003pt_BR
dc.identifier.issn1413-3555pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/43080-
dc.description.resumoObjective: To examine the concurrent validity of the GT3X® ActiGraph accelerometer and Google Fit® smartphone application in estimating energy expenditure in people who had suffered a stroke, during fast overground walking. Methods: Thirty community-dwelling stroke individuals walked on a 10-meter hallway over 5 min at their fastest speeds, wearing a Cortex Metamax 3B® ergoespirometer, a GT3X® ActiGraph accelerometer, and a smartphone with the Google Fit® application. Pearson correlation coefficients were calculated to verify the associations between measures of energy expenditure, in kilocalories (kcal), estimated by both devices and those obtained with the Cortex Metamax 3B® ergoespirometer (gold-standard measure). Results: Fair association was found between the energy expenditure values estimated from the combined formula of the ActiGraph GT3X® and those obtained with the gold-standard measure (r = 0.37; p = 0.04). No significant associations were found between the energy expenditure values estimated by the Google Fit® application and those provided by the gold-standard measure. Conclusions: The findings demonstrated that both the GT3X®ActiGraph accelerometer and the Google Fit® smartphone application do not provide valid measures of energy expenditure in chronic stroke individuals during fast overground walking.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEEF - DEPARTAMENTO DE FISIOTERAPIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofBrazilian Journal of Physical Therapypt_BR
dc.rightsAcesso Restritopt_BR
dc.subjectStrokept_BR
dc.subjectEnergy expenditurept_BR
dc.subjectValiditypt_BR
dc.subjectMonitoringpt_BR
dc.subjectAccelerometrypt_BR
dc.subjectCell phonespt_BR
dc.subject.otherAcidente vascular cerebralpt_BR
dc.subject.otherEnergia - Consumopt_BR
dc.subject.otherMonitoramentopt_BR
dc.subject.otherAcelerometriapt_BR
dc.subject.otherSmartphonept_BR
dc.titleValidity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic strokept_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S1413355518300078?via%3Dihub#!pt_BR
dc.identifier.orcidhttp://orcid.org/0000-0003-3366-1545pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0001-5102-369Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5968-2195pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9784-9729pt_BR
dc.identifier.orcidhttps://orcid.org/ 0000-0001-8358-8636pt_BR
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