Reliability and validity of ten consumer activity trackers
Open accessAbstract
BACKGROUND: Activity trackers can potentially stimulate users to increase their physical activity behavior. The aim of this study was to examine the reliability and validity of ten consumer activity trackers for measuring step count in both laboratory and free-living conditions. METHOD: Healthy adult volunteers (n = 33) walked twice on a treadmill (4.8 km/h) for 30 min while wearing ten different activity trackers (i.e. Lumoback, Fitbit Flex, Jawbone Up, Nike+ Fuelband SE, Misfit Shine, Withings Pulse, Fitbit Zip, Omron HJ-203, Yamax Digiwalker SW-200 and Moves mobile application). In free-living conditions, 56 volunteers wore the same activity trackers for one working day. Test-retest reliability was analyzed with the Intraclass Correlation Coefficient (ICC). Validity was evaluated by comparing each tracker with the gold standard (Optogait system for laboratory and ActivPAL for free-living conditions), using paired samples t-tests, mean absolute percentage errors, correlations and Bland-Altman plots. RESULTS: Test-retest analysis revealed high reliability for most trackers except for the Omron (ICC .14), Moves app (ICC .37) and Nike+ Fuelband (ICC .53). The mean absolute percentage errors of the trackers in laboratory and free-living conditions respectively, were: Lumoback (-0.2, -0.4), Fibit Flex (-5.7, 3.7), Jawbone Up (-1.0, 1.4), Nike+ Fuelband (-18, -24), Misfit Shine (0.2, 1.1), Withings Pulse (-0.5, -7.9), Fitbit Zip (-0.3, 1.2), Omron (2.5, -0.4), Digiwalker (-1.2, -5.9), and Moves app (9.6, -37.6). Bland-Altman plots demonstrated that the limits of agreement varied from 46 steps (Fitbit Zip) to 2422 steps (Nike+ Fuelband) in the laboratory condition, and 866 steps (Fitbit Zip) to 5150 steps (Moves app) in the free-living condition. CONCLUSION: The reliability and validity of most trackers for measuring step count is good. The Fitbit Zip is the most valid whereas the reliability and validity of the Nike+ Fuelband is low.
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Fitbit One, Zip and Charge HR, Jawbone Up, LumoBack, and Withings Pulse have all demonstrated excellent test-retest reliability for step count (ICC >.90).
“Fitbit One, Zip and Charge HR, Jawbone Up, LumoBack, and Withings Pulse have all demonstrated excellent test-retest reliability for step count (Intraclass Correlation Coefficient [ICC] >.90) [78-80]”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [79]
The Results (Test-retest reliability, Table 1) classify LumoBack, Fitbit Zip and Withings Pulse as having excellent test-retest reliability for step count. They classify Jawbone Up as good (ICC 0.83), not excellent; the Methods (Study design) list Fitbit Flex but not Fitbit One or Charge HR among the tested trackers. Table 1 reports ICCs of 0.90 for LumoBack and Zip and 0.92 for Withings Pulse, so its displayed values do not establish >0.90 for all three. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe Fitbit ZipTM was reported to be the most valid of the ten consumer activity trackers.
“which was also reported to be the most valid of the ten trackers [61].”
A recent study comparing reliability and validity of ten consumer activity trackers reported excellent test-retest reliability of the Fitbit ZipTM.
“A recent study comparing the reliability and validity of ten consumer activity trackers reported excellent test-retest reliability of the Fitbit ZipTM”
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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965 · see citing works
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526 · see citing works
Foundations of Clinical Research: Applications to Practice,
(2002) · Survey of Ophthalmology · doi:10.1016/s0039-6257(02)00362-4 · Cited by 9,485 · see citing works
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771 · see citing works
Lee, I.-M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61031-9 · Cited by 8,215 · see citing works
Health benefits of physical activity: the evidence
Warburton, D. E. R. (2006) · Canadian Medical Association Journal · doi:10.1503/cmaj.051351 · Cited by 8,007 · see citing works
HASKELL, W. L., LEE, I.-M., PATE, R. R., POWELL, K. E., BLAIR, S. N., FRANKLIN, B. A., MACERA, C. A., HEATH, G. W., THOMPSON, P. D., & BAUMAN, A. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616b27 · Cited by 4,616 · see citing works
Fit Yourself and Take Your Lungs to Heart
Palange, P., & Bonini, M. (2013) · Respiration · doi:10.1159/000350831 · Cited by 2,780 · see citing works
Using Pedometers to Increase Physical Activity and Improve Health: A Systematic Review
Bravata, D. M., Smith-Spangler, C., Sundaram, V., Gienger, A. L., Lin, N., Lewis, R., Stave, C. D., Olkin, I., & Sirard, J. R. (2007) · JAMA · doi:10.1001/jama.298.19.2296 · Cited by 2,064 · see citing works
How many steps/day are enough? for adults
Tudor-Locke, C., Craig, C. L., Brown, W. J., Clemes, S. A., De Cocker, K., Giles-Corti, B., Hatano, Y., Inoue, S., Matsudo, S. M., Mutrie, N., et al. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-79 · Cited by 1,087 · see citing works
Accuracy of Smartphone Applications and Wearable Devices for Tracking Physical Activity Data
Case, M. A., Burwick, H. A., Volpp, K. G., & Patel, M. S. (2015) · JAMA · doi:10.1001/jama.2014.17841 · Cited by 694 · see citing works
The validity and reliability of a novel activity monitor as a measure of walking
Ryan, C. G., Grant, P., Tigbe, W. W., & Granat, M. H. (2006) · British Journal of Sports Medicine · doi:10.1136/bjsm.2006.027276 · Cited by 490 · see citing works
Ferguson, T., Rowlands, A. V., Olds, T., & Maher, C. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0201-9 · Cited by 468 · see citing works
Validity of Consumer-Based Physical Activity Monitors
LEE, J.-M., KIM, Y., & WELK, G. J. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000287 · Cited by 401 · cited 5× · see citing works
“[12] indicated similar results for the Fitbit Zip, Jawbone Up, and the Nike+ Fuelband, i.”
BackgroundResultInfluentialActivity Recognition Using a Single Accelerometer Placed at the Wrist or Ankle
MANNINI, A., INTILLE, S. S., ROSENBERGER, M., SABATINI, A. M., & HASKELL, W. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31829736d6 · Cited by 383 · see citing works
Sensor Positioning for Activity Recognition Using Wearable Accelerometers
Atallah, L., Lo, B., King, R., & Yang, G.-Z. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2160540 · Cited by 346 · see citing works
Validation of the Fitbit One activity monitor device during treadmill walking
Takacs, J., Pollock, C. L., Guenther, J. R., Bahar, M., Napier, C., & Hunt, M. A. (2013) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2013.10.241 · Cited by 322 · see citing works
Commercially available pedometers: considerations for accurate step counting
Melanson, E. L., Knoll, J. R., Bell, M. L., Donahoo, W. T., Hill, J. O., Nysse, L. J., Lanningham‐Foster, L., Peters, J. C., & Levine, J. A. (2004) · Preventive Medicine · doi:10.1016/j.ypmed.2004.01.032 · Cited by 280 · see citing works
Adam Noah, J., Spierer, D. K., Gu, J., & Bronner, S. (2013) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2013.831135 · Cited by 202 · see citing works
Tully, M. A., McBride, C., Heron, L., & Hunter, R. F. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-952 · Cited by 172 · see citing works
The Accuracy of Pedometer Steps and Time during Walking in Children
Beets, M. W., Patton-López, M. M., & EDWARDS, S. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000155395.49960.31 · Cited by 166 · see citing works
Fortune, E., Lugade, V. A., Morrow, M. M. B., & Kaufman, K. R. (2014) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2014.02.006 · Cited by 150 · see citing works
A systematic review of IT for diabetes self-management: Are we there yet?
El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.05.006 · Cited by 148 · see citing works
Évaluation de la qualité des podomètres commerciaux
Tudor-Locke, C., Sisson, S. B., Lee, S. M., Craig, C. L., Plotnikoff, R. C., & Bauman, A. (2006) · Canadian Journal of Public Health · doi:10.1007/bf03405359 · Cited by 142 · see citing works
A Comparison of Energy Expenditure Estimation of Several Physical Activity Monitors
Dannecker, K. L., Sazonova, N. A., Melanson, E. L., Sazonov, E. E., & Browning, R. C. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318299d2eb · Cited by 124 · see citing works
Dowd, K., Harrington, D. M., & Donnelly, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047633 · Cited by 120 · see citing works
Vooijs, M., Alpay, L., Snoeck-Stroband, J. B., Beerthuizen, T., Siemonsma, P. C., Abbink, J. J., Sont, J. K., & Rövekamp, T. (2014) · Interactive Journal of Medical Research · doi:10.2196/ijmr.3056 · Cited by 118 · see citing works
Test–retest reliability of step counts with the ActivPAL™ device in common daily activities
Dahlgren, G., Carlsson, D., Moorhead, A., Häger, C. K., & McDonough, S. (2010) · Gait & Posture · doi:10.1016/j.gaitpost.2010.06.022 · Cited by 95 · see citing works
Measuring steps with the Fitbit activity tracker: an inter-device reliability study
Dontje, M. L., de Groot, M., Lengton, R. R., van der Schans, C. P., & Krijnen, W. P. (2015) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2015.1050125 · Cited by 76 · see citing works
Self-citationGodino, J., Watkinson, C., Corder, K. L., Sutton, S. R., Griffin, S. J., & van Sluijs, E. M. F. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-421 · Cited by 53 · see citing works
Shin, S.-H. (2014) · Medical Science Monitor · doi:10.12659/msm.890658 · Cited by 51 · see citing works
Cocker, K. A. D., Meyer, J. D., Bourdeaudhuij, I. M. D., & Cardon, G. (2012) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2012.02.002 · Cited by 46 · see citing works
Stahl, S. T., & Insana, S. (2013) · Journal of Health Psychology · doi:10.1177/1359105313490771 · Cited by 21 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Fuller, D., Colwell, E., Low, J., Orychock, K., Tobin, M. A., Simango, B., Buote, R., Van Heerden, D., Luan, H., Cullen, K., et al. (2020) · JMIR mHealth and uHealth · doi:10.2196/18694 · Cited by 715 · see citing works
Brickwood, K.-J., Watson, G., O'Brien, J., & Williams, A. D. (2019) · JMIR mHealth and uHealth · doi:10.2196/11819 · Cited by 690 · see citing works
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data
Feehan, L. M., Geldman, J., Sayre, E. C., Park, C., Ezzat, A. M., Yoo, J. Y., Hamilton, C. B., & Li, L. C. (2018) · JMIR mHealth and uHealth · doi:10.2196/10527 · Cited by 616 · see citing works
Henriksen, A., Haugen Mikalsen, M., Woldaregay, A. Z., Muzny, M., Hartvigsen, G., Hopstock, L. A., & Grimsgaard, S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9157 · Cited by 542 · see citing works
Lobelo, F., Rohm Young, D., Sallis, R., Garber, M. D., Billinger, S. A., Duperly, J., Hutber, A., Pate, R. R., Thomas, R. J., Widlansky, M. E., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000559 · Cited by 402 · see citing works
Shin, G., Jarrahi, M. H., Fei, Y., Karami, A., Gafinowitz, N., Byun, A., & Lu, X. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103153 · Cited by 326 · see citing works
Mantua, J., Gravel, N., & Spencer, R. (2016) · Sensors · doi:10.3390/s16050646 · Cited by 314 · see citing works
McDermott, M. M., Spring, B., Berger, J. S., Treat-Jacobson, D., Conte, M. S., Creager, M. A., Criqui, M. H., Ferrucci, L., Gornik, H. L., Guralnik, J. M., et al. (2018) · JAMA · doi:10.1001/jama.2018.3275 · Cited by 211 · see citing works
Franssen, W. M. A., Franssen, G. H. L. M., Spaas, J., Solmi, F., & Eijnde, B. O. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00955-2 · Cited by 188 · see citing works
Video-Recorded Validation of Wearable Step Counters under Free-living Conditions
TOTH, L. P., PARK, S., SPRINGER, C. M., FEYERABEND, M. D., STEEVES, J. A., & BASSETT, D. R. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001569 · Cited by 154 · see citing works
Sushames, A., Edwards, A., Thompson, F., McDermott, R., & Gebel, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0161224 · Cited by 152 · see citing works
Falter, M., Budts, W., Goetschalckx, K., Cornelissen, V., & Buys, R. (2019) · JMIR mHealth and uHealth · doi:10.2196/11889 · Cited by 142 · see citing works
Straiton, N., Alharbi, M., Bauman, A., Neubeck, L., Gullick, J., Bhindi, R., & Gallagher, R. (2018) · Maturitas · doi:10.1016/j.maturitas.2018.03.016 · Cited by 147 · see citing works
Chow, H.-W., & Yang, C.-C. (2020) · JMIR mHealth and uHealth · doi:10.2196/14707 · Cited by 140 · see citing works
“Importantly, while generally producing accurate results, these devices did not report reliable step-count readings in certain conditions, such as slow walking or while performing unnatural hand movements [21-24].”
Wahl, Y., Düking, P., Droszez, A., Wahl, P., & Mester, J. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00725 · Cited by 133 · see citing works
de Vries, H. J., Kooiman, T. J. M., van Ittersum, M. W., van Brussel, M., & de Groot, M. (2016) · Obesity · doi:10.1002/oby.21619 · Cited by 123 · see citing works
Self-citationTedesco, S., Sica, M., Ancillao, A., Timmons, S., Barton, J., & O’Flynn, B. (2019) · PLOS ONE · doi:10.1371/journal.pone.0216891 · Cited by 116 · see citing works
Adams, M. A., Hurley, J. C., Todd, M., Bhuiyan, N., Jarrett, C. L., Tucker, W. J., Hollingshead, K. E., & Angadi, S. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4197-8 · Cited by 110 · see citing works
Godino, J. G., Wing, D., de Zambotti, M., Baker, F. C., Bagot, K., Inkelis, S., Pautz, C., Higgins, M., Nichols, J., Brumback, T., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237719 · Cited by 107 · see citing works
Sun, V., Dumitra, S., Ruel, N., Lee, B., Melstrom, L., Melstrom, K., Woo, Y., Sentovich, S., Singh, G., & Fong, Y. (2017) · JAMA Surgery · doi:10.1001/jamasurg.2017.1519 · Cited by 98 · see citing works
The role of wearables in heart failure
Singhal, A., & Cowie, M. R. (2020) · Current Heart Failure Reports · doi:10.1007/s11897-020-00467-x · Cited by 85 · see citing works
Self-tracking of Physical Activity in People With Type 2 Diabetes: A Randomized Controlled Trial
Kooiman, T. J. M., de Groot, M., Hoogenberg, K., Krijnen, W. P., van der Schans, C. P., & Kooy, A. (2018) · CIN: Computers, Informatics, Nursing · doi:10.1097/cin.0000000000000443 · Cited by 78 · see citing works
Self-citationLeth, S., Hansen, J., Nielsen, O., & Dinesen, B. (2017) · Sensors · doi:10.3390/s17010211 · Cited by 64 · see citing works
Degroote, L., Hamerlinck, G., Poels, K., Maher, C., Crombez, G., De Bourdeaudhuij, I., Vandendriessche, A., Curtis, R. G., & DeSmet, A. (2020) · JMIR mhealth and uhealth · doi:10.2196/16674 · Cited by 60 · see citing works
Braakhuis, H., Berger, M., & Bussmann, J. (2019) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-2522 · Cited by 51 · see citing works
Thijs, I., Fresiello, L., Oosterlinck, W., Sinnaeve, P., & Rega, F. (2019) · JMIR mHealth and uHealth · doi:10.2196/mhealth.9865 · Cited by 44 · see citing works
Pal, D., Vanijja, V., Arpnikanondt, C., Zhang, X., & Papasratorn, B. (2019) · IEEE Access · doi:10.1109/access.2019.2917061 · Cited by 39 · see citing works
Comparison of wrist-worn and hip-worn activity monitors under free living conditions
Hargens, T. A., Deyarmin, K. N., Snyder, K. M., Mihalik, A. G., & Sharpe, L. E. (2017) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2016.1271046 · Cited by 30 · see citing works
Accuracy of Consumer Monitors for Estimating Energy Expenditure and Activity Type
WOODMAN, J. A., CROUTER, S. E., BASSETT, D. R., FITZHUGH, E. C., & BOYER, W. R. (2017) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001090 · Cited by 29 · see citing works
Casey, M.-B., Smart, K., Segurado, R., Hearty, C., Gopal, H., Lowry, D., Flanagan, D., McCracken, L., & Doody, C. (2018) · Trials · doi:10.1186/s13063-018-2543-5 · Cited by 25 · see citing works
Congruent Accuracy of Wrist-worn Activity Trackers during Controlled and Free-living Conditions
Dondzila, C. J., Lewis, C., Lopez, J. R., & Parker, T. (2018) · International Journal of Exercise Science · doi:10.70252/ubbt6886 · Cited by 16 · see citing works
“Numerous studies have explored wrist-worn Fitbit devices during various treadmill speeds (2, 5, 9, 10, 13, 15, 18, 25).”
BackgroundClevenger, K. A., Molesky, M. J., Vusich, J., & Montoye, A. H. K. (2019) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2019.1577737 · Cited by 13 · see citing works
Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach
Pal, D., Triyason, T., Varadarajan, V., & Zhang, X. (2019) · 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew.2019.00-32 · Cited by 10 · see citing works
Technology and Human Connection to Prevent Diabetes in Rural United States
Dachel, T. A., & Mota, D. (2021) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2021.06.001 · Cited by 1 · see citing works
- Authors
- Kooiman, T. J. M., Dontje, M. L., Sprenger, S. R., Krijnen, W. P., van der Schans, C. P., & de Groot, M.
- Affiliations
- Hanze University of Applied Sciences (NL)
- University of Groningen (NL)
- Corresponding author
- Kooiman, Thea J. M.
- Venue
- BMC Sports Science, Medicine and Rehabilitation
- Published
- 2015-10-12
- Volume
- 7
- Issue
- 1
- Pages
- 24-24
- ISSN
- 2052-1847 (ISSN-L)
- PMC
- PMC4603296
- OpenAlex
- W2151278576
- Cited by
- 360
- References
- 33
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 12 · 2023: 17 · 2022: 20 · 2021: 32 · 2020: 47 · 2019: 67 · 2018: 67 · 2017: 47 · 2016: 33 · 2015: 1
- FWCI
- 35.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Sports Science Medicine and Rehabilitation (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- wearable activity trackers, step counting, wearable devices, test-retest reliability, measurement validity, physical activity monitoring, Fitbit, free-living conditions, treadmill walking, OptoGait, activPAL
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