Reliability and Validity of Ten Consumer Activity Trackers Depend on Walking Speed
| Autor: | Tryntsje Fokkema, Cees P. van der Schans, Wim P. Krijnen, Thea J. M. Kooiman, Martijn de Groot |
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| Přispěvatelé: | Extremities Pain and Disability (EXPAND), Health Psychology Research (HPR), Healthy Ageing, Allied Health Care and Nursing, Ageing and Allied Health Care, Statistical Techniques for Applied Research |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
Intraclass correlation ACCURACY DEVICE Accelerometer WEARABLE TECHNOLOGY 0302 clinical medicine QUANTIFIED SELF Accelerometry Orthopedics and Sports Medicine 030212 general & internal medicine Prospective Studies Treadmill bewegen (activiteit) Reliability (statistics) Activity tracker Equipment Design ACTIVITY MONITOR STEPS/DAY Female Psychology Adult medicine.medical_specialty education consumenten Physical Therapy Sports Therapy and Rehabilitation Fitness Trackers consumers 03 medical and health sciences Physical medicine and rehabilitation ACCELEROMETER medicine Humans WRIST PEDOMETER SELF-MANAGEMENT TREADMILL WALKING Reproducibility of Results 030229 sport sciences ADULTS sensortechnologie Walking Speed Preferred walking speed PHYSICAL-ACTIVITY Pedometer Exercise Test activity trackers human activities INTRACLASS CORRELATION-COEFFICIENT |
| Zdroj: | Medicine and Science in Sports and Exercise, 49(4), 793-800. LIPPINCOTT WILLIAMS & WILKINS Medicine & science in sports & exercise, 49(4), 793-800. American College of Sports Medicine |
| ISSN: | 1530-0315 0195-9131 |
| Popis: | Purpose: To examine the test-retest reliability and validity of ten activity trackers for step counting at three different walking speeds. Methods: Thirty-one healthy participants walked twice on a treadmill for 30 min while wearing 10 activity trackers (Polar Loop, Garmin Vivosmart, Fitbit Charge HR, Apple Watch Sport, Pebble Smartwatch, Samsung Gear S, Misfit Flash, Jawbone Up Move, Flyfit, and Moves). Participants walked three walking speeds for 10 min each; slow (3.2 km.h(-1)), average (4.8 km.h(-1)), and vigorous (6.4 km.h(-1)). To measure test-retest reliability, intraclass correlations (ICC) were determined between the first and second treadmill test. Validity was determined by comparing the trackers with the gold standard (hand counting), using mean differences, mean absolute percentage errors, and ICC. Statistical differences were calculated by paired-sample t tests, Wilcoxon signed-rank tests, and by constructing Bland-Altman plots. Results: Test-retest reliability varied with ICC ranging from -0.02 to 0.97. Validity varied between trackers and different walking speeds with mean differences between the gold standard and activity trackers ranging from 0.0 to 26.4%. Most trackers showed relatively low ICC and broad limits of agreement of the Bland-Altman plots at the different speeds. For the slow walking speed, the Garmin Vivosmart and Fitbit Charge HR showed the most accurate results. The Garmin Vivosmart and Apple Watch Sport demonstrated the best accuracy at an average walking speed. For vigorous walking, the Apple Watch Sport, Pebble Smartwatch, and Samsung Gear S exhibited the most accurate results. Conclusion: Test-retest reliability and validity of activity trackers depends on walking speed. In general, consumer activity trackers perform better at an average and vigorous walking speed than at a slower walking speed. |
| Databáze: | OpenAIRE |
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