Free-Living Comparison of Physical Activity and Sleep Data from Fitbit Activity Trackers Worn on the Dominant and Nondominant Wrists
Abstract
Despite proprietary algorithms to account for differences, output from activity trackers worn on different wrists may not be comparable because individuals vary in their reliance on each hand during free-living activities.Participants (n = 48) wore Fitbit Flex or Flex2 monitors on each wrist for three days. T tests, equivalence tests, and correlations were used to compare steps, Calories, distance, active minutes, and sleep duration recorded by dominant and nondominant wrist-worn monitors and effect sizes and mean absolute and percent difference were calculated.The nondominant Flex2 monitor was not equivalent to the dominant wrist-worn monitor and recorded significantly more steps/day (absolute difference = 708), miles/day (0.3), and active minutes/day (7.9) than the dominant Flex2 monitor. For all variables, nondominant and dominant output was correlated (r>0.75).Nondominant and dominant Flex2 monitors are significantly different, but there were small differences for Flex monitors. Research should investigate effects on behavior and replicate findings using other monitors.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Five studies (50 comparisons) reported interdevice reliability for energy expenditure, with analyzed sample sizes ranging from 13 to 29.
“Five studies (50 comparisons) reported on interdevice reliability [85,113,116,117,166], with analyzed sample sizes ranging from 13 [117] to 29 [113].”
From Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review (2020) · cites this paper as [113]
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
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
Lakens, D. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617697177 · Cited by 2,161 · cited 3× · see citing works
“Second, the two one-sided tests (TOST) approach was used to assess whether the nondominant and dominant monitor output was equivalent (Dixon et al., 2018; Lakens, 2017).”
MethodBİLGEN, M. S., Bilgen, Ö. F., ahmed, Ç. I., Kara, H., mutlu, M., & Yaray, O. (2022) · Singapore Medical Journal · doi:10.11622/smedj · Cited by 1,730 · see citing works
Systematic review of the validity and reliability of consumer-wearable activity trackers
Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0314-1 · Cited by 1,232 · see citing works
DAOUD, G. (1965) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpedi.1965.02090030355030 · Cited by 1,170 · see citing works
Evolution of accelerometer methods for physical activity research
Troiano, R. P., McClain, J. J., Brychta, R. J., & Chen, K. Y. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093546 · Cited by 968 · see citing works
Validity of 10 Electronic Pedometers for Measuring Steps, Distance, and Energy Cost
CROUTER, S. E., SCHNEIDER, P. L., KARABULUT, M., & BASSETT, D. R. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078932.61440.a2 · Cited by 899 · see citing works
Validation of the GENEA Accelerometer
ESLIGER, D. W., ROWLANDS, A. V., HURST, T. L., CATT, M., MURRAY, P., & ESTON, R. G. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31820513be · Cited by 625 · see citing works
Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women
Cadmus-Bertram, L. A., Marcus, B. H., Patterson, R. E., Parker, B. A., & Morey, B. L. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.01.020 · Cited by 469 · see citing works
Fitbit®: An accurate and reliable device for wireless physical activity tracking
Diaz, K. M., Krupka, D. J., Chang, M. J., Peacock, J., Ma, Y., Goldsmith, J., Schwartz, J. E., & Davidson, K. W. (2015) · International Journal of Cardiology · doi:10.1016/j.ijcard.2015.03.038 · Cited by 405 · see citing works
Reliability and validity of ten consumer activity trackers
Kooiman, T. J. M., Dontje, M. L., Sprenger, S. R., Krijnen, W. P., van der Schans, C. P., & de Groot, M. (2015) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-015-0018-5 · Cited by 360 · see citing works
Grip strength: effect of hand dominance.
İncel, N. A., Ceceli, E., Durukan, P. B., Erdem, H. R., & Yorgancioglu, Z. R. (2002) · PubMed · Cited by 356 · see citing works
Wang, J. B., Cadmus-Bertram, L. A., Natarajan, L., White, M. M., Madanat, H., Nichols, J. F., Ayala, G. X., & Pierce, J. P. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2014.0176 · Cited by 308 · see citing works
Movement toward a novel activity monitoring device
Montgomery-Downs, H. E., Insana, S. P., & Bond, J. A. (2012) · Sleep and Breathing · doi:10.1007/s11325-011-0585-y · Cited by 301 · see citing works
Meltzer, L. J., Hiruma, L., Avis, K. T., Montgomery‐Downs, H. E., & Valentin, J. (2015) · SLEEP · doi:10.5665/sleep.4918 · Cited by 228 · see citing works
A Primer on the Use of Equivalence Testing for Evaluating Measurement Agreement
DIXON, P. M., SAINT-MAURICE, P. F., KIM, Y., HIBBING, P., BAI, Y., & WELK, G. J. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001481 · Cited by 227 · see citing works
Validity of Consumer-Based Physical Activity Monitors for Specific Activity Types
Nelson, M. B., Kaminsky, L. A., Dickin, D. C., & Montoye, A. H. K. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000933 · Cited by 206 · see citing works
Self-citationAdam 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
Foster, R. C., Lanningham-Foster, L. M., Manohar, C., McCrady, S. K., Nysse, L. J., Kaufman, K. R., Padgett, D. J., & Levine, J. A. (2005) · Preventive Medicine · doi:10.1016/j.ypmed.2005.07.006 · Cited by 187 · 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
Accuracy of Wristband Activity Monitors during Ambulation and Activities
CHEN, M.-D., KUO, C.-C., PELLEGRINI, C. A., & HSU, M.-J. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000984 · Cited by 90 · see citing works
Hickey, A. M., & Freedson, P. S. (2016) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2016.02.006 · Cited by 77 · see citing works
Odom, L. R., & Morrow, J. R. (2006) · Measurement in Physical Education and Exercise Science · doi:10.1207/s15327841mpee1002_5 · Cited by 39 · see citing works
Montoye, A. H. K., Conger, S. A., Connolly, C. P., Imboden, M. T., Nelson, M. B., Bock, J. M., & Kaminsky, L. A. (2017) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2017.1337638 · Cited by 31 · see citing works
Self-citationVarela-Mato, V., Yates, T. E., Stensel, D. J., Biddle, S., & Clemes, S. A. (2017) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2017.1335204 · Cited by 12 · see citing works
Man, M. D., Vanderploeg, E., Aimers, N., et al. (2016) · Sensoria A Journal of Mind Brain and Culture · doi:10.7790/sa.v12i2.442 · Cited by 11 · see citing works
Determining the Reliability of Several Consumer-Based Physical Activity Monitors
Bock, J. M., Kaminsky, L. A., Harber, M. P., & Montoye, A. H. K. (2017) · Technologies · doi:10.3390/technologies5030047 · Cited by 5 · see citing works
Self-citationEdwardson, C. L., Davies, M. J., Khunti, K. K., Yates, T. E., & Rowlands, A. V. (2018) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2017-0001 · Cited by 5 · see citing works
Video-Recorded Direct Observation: A Step Forward for Physical Activity Measurement
Keadle, S. K. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001586 · Cited by 3 · 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
- Authors
- Clevenger, K. A., Molesky, M. J., Vusich, J., & Montoye, A. H. K.
- Affiliations
- Michigan State University (US)
- Alma College (US)
- Corresponding author
- Clevenger, Kimberly A.
- Venue
- Measurement in Physical Education and Exercise Science
- Publisher
- Informa UK Limited
- Published
- 2019-02-12
- Volume
- 23
- Issue
- 2
- Pages
- 194-204
- ISSN
- 1091-367X (ISSN-L)
- 1532-7841
- OpenAlex
- W2913057168
- Cited by
- 13
- References
- 30
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 2 · 2022: 1 · 2021: 2 · 2020: 4
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Measurement in Physical Education and Exercise Science (publishedVersion)
- 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
- wrist-worn accelerometers, physical activity measurement, sleep duration, step count, device comparability, free-living physical activity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review