Validation of the Fitbit Wireless Activity Tracker for Prediction of Energy Expenditure

in Journal of Physical Activity and Health

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Jeffer Eidi Sasaki
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Amanda Hickey
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Marianna Mavilia
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Jacquelynne Tedesco
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Dinesh John
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Sarah Kozey Keadle
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Patty S. Freedson
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Objective:

The purpose of this study was to examine the accuracy of the Fitbit wireless activity tracker in assessing energy expenditure (EE) for different activities.

Methods:

Twenty participants (10 males, 10 females) wore the Fitbit Classic wireless activity tracker on the hip and the Oxycon Mobile portable metabolic system (criterion). Participants performed walking and running trials on a treadmill and a simulated free-living activity routine. Paired t tests were used to test for differences between estimated (Fitbit) and criterion (Oxycon) kcals for each of the activities.

Results:

Mean bias for estimated energy expenditure for all activities was −4.5 ± 1.0 kcals/6 min (95% limits of agreement: −25.2 to 15.8 kcals/6 min). The Fitbit significantly underestimated EE for cycling, laundry, raking, treadmill (TM) 3 mph at 5% grade, ascent/descent stairs, and TM 4 mph at 5% grade, and significantly overestimated EE for carrying groceries. Energy expenditure estimated by the Fitbit was not significantly different than EE calculated from the Oxycon Mobile for 9 activities.

Conclusion:

The Fitbit worn on the hip significantly underestimates EE of activities. The variability in underestimation of EE for the different activities may be problematic for weight loss management applications since accurate EE estimates are important for tracking/monitoring energy deficit.

Sasaki, Hickey, Mavilia, Tedesco, Keadle, and Freedson (psf@kin.umass.edu) are with the Dept of Kinesiology, University of Massachusetts, Amherst, MA. John is with the Dept of Health Sciences, Northeastern University, Boston, MA.

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