Cited by 202Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry

Adam Noah, J., Spierer, David K., Gu, Jialu, Bronner, Shaw·2013·Journal of Medical Engineering & Technology

Abstract

Epidemic levels of inactivity are associated with chronic diseases and rising healthcare costs. To address this, accelerometers have been used to track levels of activity. The Fitbit and Fitbit Ultra are some of the newest commercially available accelerometers. The purpose of this study was to determine the reliability and validity of the Fitbit and Fitbit Ultra. Twenty-three subjects were fitted with two Fitbit and Fitbit Ultra accelerometers, two industry-standard accelerometers and an indirect calorimetry device. Subjects participated in 6-min bouts of treadmill walking, jogging and stair stepping. Results indicate the Fitbit and Fitbit Ultra are reliable and valid for activity monitoring (step counts) and determining energy expenditure while walking and jogging without an incline. The Fitbit and standard accelerometers under-estimated energy expenditure compared to indirect calorimetry for inclined activities. These data suggest the Fitbit and Fitbit Ultra are reliable and valid for monitoring over-ground energy expenditure.

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Crossref · 10.3109/03091902.2013.831135

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Authors
Adam Noah, J., Spierer, D. K., Gu, J., & Bronner, S.
Affiliations
  • Long Island University (US)
  • Northeastern University (US)
Venue
Journal of Medical Engineering & Technology
Published
2013-09-05
Volume
37
Issue
7
Pages
456-462
ISSN
  • 0309-1902 (ISSN-L)
  • 1464-522X
OpenAlex
W2006655881
Cited by
202
References
38
Citations by year
2026: 5 · 2025: 8 · 2024: 5 · 2023: 3 · 2022: 12 · 2021: 7 · 2020: 21 · 2019: 29 · 2018: 32 · 2017: 34 · 2016: 22 · 2015: 18 · 2014: 6
FWCI
10.65
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Medical Engineering & Technology (publishedVersion)
  • PubMed (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
Fitbit, accelerometer, step counting, energy expenditure, activity monitoring, reliability and validity, Actical, indirect calorimetry, treadmill walking, jogging, stair stepping, physical activity
MeSH terms
Adult, Calorimetry, Indirect, Energy Metabolism, Female, Humans, Male, Monitoring, Physiologic, Exercise, Young Adult

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