Step-count mean absolute percent errors during treadmill walking: Setting an acceptable tolerance-for-error
ISPAH ePoster Library. Moore C. Oct 16, 2018; 225261
Mr. Christopher Moore
Mr. Christopher Moore
Login now to access Regular content available to all registered users.
Rate & Comment (0)
Abstract The emergence of physical activity (PA) monitors has enabled the development of objective-based PA guidelines and improved evaluations of PA interventions. These monitors commonly utilize steps as a simple and communicable output. Still, there is a need to develop validation standards for such devices, including setting acceptable tolerances-for-error. PURPOSE: To evaluate the mean absolute percent error (MAPE) of multiple step-counting devices at various treadmill walking speeds, and aggregate results to determine an empirically-based tolerance-for-error. Methods:<\b>
Eighty adults (mean±SD; age=50.2±5.9 years; BMI=26.0±4.0 kg/m2) performed 5-minute treadmill walking bouts, beginning at 0.22m/s (0.5mph) and increasing in 0.22m/s increments until a maximum speed of 2.24m/s (5.0mph). Participants concurrently wore ten step-counting devices: five waist (ActiGraph GT9X, Actical, Digiwalker SW-200, NL-1000, Fitbit One), three wrist (Apple Watch Series 1, Samsung GearFit 2, Garmin VivoFit 3), one thigh (ActivPAL), and one ankle (StepWatch). Directly-observed steps served as the criterion measure. MAPE was calculated for each device at each speed, and device MAPEs were averaged at each speed. RESULTS: Step-count accuracy was highest between walking speeds of 1.10–1.54m/s (2.5-3.5mph), evidenced by the lowest average MAPE values (<3%). Average MAPEs from 0.88–1.76m/s (2.0-4.0mph) were consistently ≤5.2%. Very slow walking speeds (≤0.66m/s; 1.5mph) had the highest average MAPEs (16.3–80.4%). CONCLUSION: For moderately-slow to fast walking speeds (0.88–1.76m/s), current PA monitors attain an MAPE below 5%, with an MAPE below 3% at normal walking speeds (1.10-1.54m/s). Newly-developed devices should be validated with a tolerance-for-error that meets or improves upon this current standard. External funding details NIH/NIA Grant 5R01AG049024-CADENCE-Adults study
    This eLearning portal is powered by:
    This eLearning portal is powered by MULTIEPORTAL
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.

Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.

Save Settings