Fitbit®: An accurate and reliable device for wireless physical activity tracking
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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 [116]
Existing validation studies have largely been completed on devices considered outdated, such as earlier Fitbit models (One, Zip, Flex, Ultra), Jawbone Up, and Nike FuelBand.
“However, given the pace of technological change, these existing studies have largely been completed on devices that would be considered outdated, such as earlier Fitbit models (One, Zip, Flex, Ultra), Jawbone Up, and the Nike FuelBand.”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [8]
Most research on wearable device accuracy has primarily focused on estimates of energy expenditure.
“Most research has primarily focused on the accuracy of estimates of EE [7-12].”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [8]
In regard to specific exercise intensity, this study supports previous research that found the Fitbit device to overestimate EE during moderate activity [8].
“In regard to specific exercise intensity, this study supports previous research that found the Fitbit device to overestimate EE during moderate activity [8].”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [8]
The increased error from previous studies for the Fitbit device [8,10] suggests that the Fitbit Charge HR may utilize heart rate in determining EE.
“The increased error from previous studies for the Fitbit device [8,10] suggests that the Fitbit Charge HR may utilize heart rate in determining EE.”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [8]
While Fitbit models have changed over time, the basic error rate has been similar across studies and devices [8,10].
“For example, while Fitbit models have changed over time, the basic error rate has been similar across studies and devices [8,10].”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [8]
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Costantino, A., Ferrara, M., Arnesano, M., & Fabrizio, E. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.106379 · Cited by 36 · see citing works
Ababneh, A., Finlayson, K. J., Edwards, H. E., & Lazzarini, P. A. (2022) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2021-002640 · Cited by 35 · see citing works
Buckinx, F., Mouton, A., Reginster, J.-Y., Croisier, J. ‐., Dardenne, N., Beaudart, C., Nelis, J., Lambert, E., Appelboom, G., & Bruyère, O. (2017) · Gait & Posture · doi:10.1016/j.gaitpost.2017.02.010 · Cited by 35 · see citing works
Physical Activity and Sleep Patterns in Hemodialysis Patients in a Suburban Environment
Williams, S., Han, M., Ye, X., Zhang, H., Meyring-Wösten, A., Bonner, M., Young, C., Thijssen, S., Marsh, D., & Kotanko, P. (2017) · Blood Purification · doi:10.1159/000452751 · Cited by 35 · see citing works
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Are Nomothetic or Ideographic Approaches Superior in Predicting Daily Exercise Behaviors?
Cheung, Y. K., Hsueh, P.-Y. S., Qian, M., Yoon, S., Meli, L., Diaz, K. M., Schwartz, J. E., Kronish, I. M., & Davidson, K. W. (2017) · Methods of Information in Medicine · doi:10.3414/me16-02-0051 · Cited by 34 · see citing works
Self-citationLocomotor Profiling from Rodents to the Clinic and Back Again
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VALIDITY AND RELIABILITY OF THE FITBIT FLEX™ AND ACTIGRAPH GT3X+ AT JOGGING AND RUNNING SPEEDS
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- Authors
- Diaz, K. M., Krupka, D. J., Chang, M. J., Peacock, J., Ma, Y., Goldsmith, J., Schwartz, J. E., & Davidson, K. W.
- Affiliations
- Columbia University Irving Medical Center (US)
- Columbia University (US)
- Corresponding author
- Diaz, Keith M.
- Venue
- International Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 185
- Pages
- 138-140
- ISSN
- 0167-5273 (ISSN-L)
- PMC
- PMC4406840
- OpenAlex
- W2076953400
- Cited by
- 405
- References
- 3
- Citations by year
- 2026: 13 · 2025: 18 · 2024: 24 · 2023: 20 · 2022: 19 · 2021: 42 · 2020: 61 · 2019: 61 · 2018: 52 · 2017: 54 · 2016: 32 · 2015: 9
- FWCI
- 36.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- National Heart, Lung, and Blood Institute (R01-HL115941)
- NIH Diversity Supplement (R01-HL116470-02S1)
- 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
- Fitbit, wearable activity trackers, wearable devices, physical activity monitoring, device validity, device reliability, primary care, physical activity counseling
- MeSH terms
- Adult, Equipment Design, Female, Humans, Male, Middle Aged, Motor Activity, Reproducibility of Results, Monitoring, Ambulatory, Young Adult, Accelerometry, Healthy Volunteers
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