The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Fitbit®: An accurate and reliable device for wireless physical activity tracking
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In the citing paper
“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]
In the citing paper
“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pace of technological change, these existing studies have largely been completed on devices that would be considered outdated, such as earlier Fitbit models (One, Zip, Flex, Ultra), Jawbone Up, and the Nike FuelBand.”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]
In the citing paper
“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 the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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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Citations
Cites
Hébert, E. T., Caughy, M. O., & Shuval, K. (2012) · British Journal of Sports Medicine · doi:10.1136/bjsports-2011-090734 · Cited by 418
Physical Activity Promotion in the Health Care System
VUORI, I. M., Lavie, C. J., & Blair, S. N. (2013) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2013.08.020 · Cited by 344
VanWormer, J. J., Pronk, N. P., & Kroeninger, G. J. (2009) · Diabetes Spectrum · doi:10.2337/diaspect.22.1.48 · Cited by 35
Cited by
Sorted by citations
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
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
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors · doi:10.3390/s22041476 · Cited by 625
Sullivan, A. N., & Lachman, M. E. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00289 · Cited by 458
Wearable and Miniaturized Sensor Technologies for Personalized and Preventive Medicine
Tricoli, A., Nasiri, N., & De, S. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201605271 · Cited by 352
Metadata
- 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 › Public Health, Environmental and Occupational Health › 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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