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Vol. 23. Issue 3.
Pages 187-276 (01 May 2019)
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Vol. 23. Issue 3.
Pages 187-276 (01 May 2019)
Original Research
DOI: 10.1016/j.bjpt.2018.08.003
Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke
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Giselle S. Fariaa, Janaine C. Polesea,b,
Corresponding author
janainepolese@yahoo.com.br

Corresponding author at: Department of Physical Therapy, Faculdade Ciências Médicas de Minas Gerais, Alameda Ezequiel Dias, 275, Centro. 30130-110 Belo Horizonte, Minas Gerais, Brazil. Tel.: +55 31 3248 7219.
, Giane A. Ribeiro-Samorac, Aline A. Sciannia, Christina D.C.M. Fariaa, Luci F. Teixeira-Salmelaa
a NeuroGroup, Department of Physical Therapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil
b Department of Physical Therapy, Faculdade Ciências Médicas de Minas Gerais (FCMMG), Belo Horizonte, Minas Gerais, Brazil
c LabCare, Department of Physical Therapy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil
Highlights

  • The GT3X®ActiGraph accelerometer does not provide valid measures of energy expenditure in individuals with chronic stroke.

  • The Google Fit® smartphone application does not provide valid measures of energy expenditure in individuals with chronic stroke.

  • Objective measures of energy expenditure of stroke individuals are necessary.

  • Physical activity monitors should be created based upon group-specific equations.

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Tables (4)
Table 1. Technical specifications of the GT3X® ActiGraph accelerometer and the Google Fit® smartphone application.
Table 2. Participants’ characteristics for a study looking at the validity of accelerometer and smartphone applications in estimating energy expenditure in stroke patients.
Table 3. Pearson's correlation coefficients (r and p values) between the energy expenditure estimations (in kcal) obtained from the GT3X® ActiGraph accelerometer and the Google Fit® smartphone application and those obtained by the gold-standard measure (Cortex Metamax 3B).
Table 4. Pearson's correlation coefficients (r and p values) between the raw data (in counts) from all of the GT3X® ActiGraph accelerometer axes and those obtained using the Cortex Metamax 3B (VO2, in mL/kg/min).
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Abstract
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 5min 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.

Keywords:
Stroke
Energy expenditure
Validity
Monitoring
Accelerometry
Cell phones

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