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Toward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Review

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dc.contributor.authorMoore, Christopher C.
dc.contributor.authorMcCullough, Aston K.
dc.contributor.authorAguiar, Elroy J.
dc.contributor.authorDucharme, Scott W.
dc.contributor.authorTudor-Locke, Catrine
dc.contributor.otherUniversity of North Carolina
dc.contributor.otherUniversity of North Carolina Chapel Hill
dc.contributor.otherUniversity of Massachusetts Amherst
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherCalifornia State University Long Beach
dc.contributor.otherUniversity of North Carolina Charlotte
dc.date.accessioned2023-09-28T19:03:45Z
dc.date.available2023-09-28T19:03:45Z
dc.date.issued2020
dc.description.abstractThe authors conducted a scoping review as a first step toward establishing harmonized (ie, consistent and compatible), empirically based best practices for validating step-counting wearable technologies. Purpose: To catalog studies validating step-counting wearable technologies during treadmill ambulation. Methods: The authors searched PubMed and SPORTDiscus in August 2019 to identify treadmill-based validation studies that employed the criterion of directly observed (including video recorded) steps and cataloged study sample characteristics, protocol details, and analytical procedures. Where reported, speed- and wear location-specific mean absolute percentage error (MAPE) values were tabulated. Weighted median MAPE values were calculated by wear location and a 0.2-m/s speed increment. Results: Seventy-seven eligible studies were identified: most had samples averaging 54% (SD = 5%) female and 27 (5) years of age, treadmill protocols consisting of 3 to 5 bouts at speeds of 0.8 (0.1) to 1.6 (0.2) m/s, and reported measures of bias. Eleven studies provided MAPE values at treadmill speeds of 1.1 to 1.8m/s; their weighted medianMAPE values were 7% to 11% for wrist-worn, 1% to 4% for waist-worn, and <= 1% for thigh-worn devices. Conclusions: Despite divergent study methodologies, the authors identified common practices and summarized MAPE values representing device step-count accuracy during treadmill walking. These initial empirical findings should be further refined to ultimately establish harmonized best practices for validating wearable technologies.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationMoore, C. C., McCullough, A. K., Aguiar, E. J., Ducharme, S. W., & Tudor-Locke, C. (2020). Toward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Review. In Journal of Physical Activity and Health (Vol. 17, Issue 8, pp. 840–852). Human Kinetics. https://doi.org/10.1123/jpah.2019-0205
dc.identifier.doi10.1123/jpah.2019-0205
dc.identifier.orcidhttps://orcid.org/0000-0003-4763-0491
dc.identifier.urihttps://ir.ua.edu/handle/123456789/10744
dc.languageEnglish
dc.language.isoen_US
dc.publisherHuman Kinetics
dc.subjectaccelerometry
dc.subjectmeasurement
dc.subjectpedometry
dc.subjectphysical activity assessment
dc.subjectscoping review/meta-analysis
dc.subjectmotion sensors
dc.subjectPHYSICAL-ACTIVITY MONITORS
dc.subjectPEDOMETER ACCURACY
dc.subjectENERGY-EXPENDITURE
dc.subjectACTIVITY TRACKERS
dc.subjectELECTRONIC PEDOMETERS
dc.subjectACTIGRAPH GT3X+
dc.subjectWALKING SPEED
dc.subjectGAIT SPEED
dc.subjectVALIDITY
dc.subjectACCELEROMETER
dc.subjectPublic, Environmental & Occupational Health
dc.titleToward Harmonized Treadmill-Based Validation of Step-Counting Wearable Technologies: A Scoping Reviewen_US
dc.typeReview
dc.typetext

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