Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke
| dc.creator | Giselle Silva e Faria | |
| dc.creator | Janaíne Cunha Polese | |
| dc.creator | Giane Amorim Ribeiro Samora | |
| dc.creator | Aline Alvim Scianni | |
| dc.creator | Christina Danielli Coelho de Morais Faria | |
| dc.creator | Luci Fuscaldi Teixeira Salmela | |
| dc.date.accessioned | 2022-07-08T17:12:02Z | |
| dc.date.accessioned | 2025-09-09T01:29:31Z | |
| dc.date.available | 2022-07-08T17:12:02Z | |
| dc.date.issued | 2019-05 | |
| dc.description.sponsorship | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
| dc.description.sponsorship | FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais | |
| dc.identifier.doi | https://doi.org/10.1016/j.bjpt.2018.08.003 | |
| dc.identifier.issn | 1413-3555 | |
| dc.identifier.uri | https://hdl.handle.net/1843/43080 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | Brazilian Journal of Physical Therapy | |
| dc.rights | Acesso Restrito | |
| dc.subject | Acidente vascular cerebral | |
| dc.subject | Energia - Consumo | |
| dc.subject | Monitoramento | |
| dc.subject | Acelerometria | |
| dc.subject | Smartphone | |
| dc.subject.other | Stroke | |
| dc.subject.other | Energy expenditure | |
| dc.subject.other | Validity | |
| dc.subject.other | Monitoring | |
| dc.subject.other | Accelerometry | |
| dc.subject.other | Cell phones | |
| dc.title | Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke | |
| dc.type | Artigo de periódico | |
| local.citation.epage | 243 | |
| local.citation.issue | 3 | |
| local.citation.spage | 236 | |
| local.citation.volume | 23 | |
| local.description.resumo | Objective: 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. | |
| local.identifier.orcid | http://orcid.org/0000-0003-3366-1545 | |
| local.identifier.orcid | https://orcid.org/ 0000-0001-5102-369X | |
| local.identifier.orcid | https://orcid.org/0000-0002-5968-2195 | |
| local.identifier.orcid | https://orcid.org/0000-0001-9784-9729 | |
| local.identifier.orcid | https://orcid.org/ 0000-0001-8358-8636 | |
| local.publisher.country | Brasil | |
| local.publisher.department | EEF - DEPARTAMENTO DE FISIOTERAPIA | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://www.sciencedirect.com/science/article/pii/S1413355518300078?via%3Dihub#! |
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