Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke |
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| Affiliation: | 1. NeuroGroup, Department of Physical Therapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil;2. Department of Physical Therapy, Faculdade Ciências Médicas de Minas Gerais (FCMMG), Belo Horizonte, Minas Gerais, Brazil;3. LabCare, Department of Physical Therapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil;1. Discipline of Physical Therapy, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina, MG, Brazil;2. Discipline of Physical Therapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil;1. Departmento de Fisioterapia, Faculdade de Ciências e Tecnologia, Universidade Estadual Paulista (UNESP), Presidente Prudente, SP, Brazil;2. Sydney Medical School, University of Sydney, Sydney, NSW, Australia;3. Centre for Evidence-Based Physiotherapy, Musculoskeletal Health Sydney, School of Public Health, University of Sydney, Sydney, NSW, Australia;4. La Trobe Sports and Exercise Medicine Research Centre, School of Allied Health, La Trobe University, Bundoora, Victoria, Australia;5. Departamento de Educação Física, Faculdade de Ciências, Universidade Estadual Paulista (UNESP), Bauru, SP, Brazil;6. Departamento de Fisioterapia, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil;1. Universidade Federal de Minas Gerais (UFMG), Departamento de Fisioterapia, Belo Horizonte, MG, Brazil;2. Cardiovascular Prevention and Rehabilitation Program, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada;3. Universidade Federal de Juiz de Fora (UFJF), Faculdade de Fisioterapia, Juiz de Fora, MG, Brazil;4. Universidade Federal do Triângulo Mineiro (UFTM), Departamento de Fisioterapia Aplicada, Uberaba, MG, Brazil;5. Universidade Federal do Vale do Jequitinhonha e Mucuri (UFVJM), Departamento de Fisioterapia, Diamantina, MG, Brazil;6. School of Kinesiology and Health Science, Toronto, Canada;1. Universidade Federal do Ceará, Faculdade de Medicina, Departmento de Fisioterapia, Fortaleza, CE, Brazil;2. Universidade Federal de Minas Gerais (UFMG), Escola de Educação Física, Fisioterapia e Terapia Ocupacional, Departamento de Fisioterapia, Belo Horizonte, Brazil;3. The University of Sydney, Faculty of Health Sciences, Sydney, New South Wales, Australia;4. The University of Sydney, Sydney Medical School, Institute of Bone and Joint Research, Sydney, New South Wales, Australia;1. Center of Health Sciences, Discipline of Physiotherapy, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil;2. NeuroGroup, Discipline of Physiotherapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil;3. Department of Occupational Therapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil |
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| Abstract: | ObjectiveTo 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.MethodsThirty 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).ResultsFair 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.ConclusionsThe 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. |
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| Keywords: | Stroke Energy expenditure Validity Monitoring Accelerometry Cell phones |
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