This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) JMIR Theme Issue: COVID-19 Special Issue (2554) Instruments and Questionnaires for Physical Activity and Lifestyle (114) Fitness Trackers and Smart Pedometers/Accelerometers (665) Wearable Devices and Sensors (1133) Surveillance Systems (514) Innovative Methods in Public Health and Surveillance (383) Participatory Epidemiology and Surveillance (127) Innovations and Technology for Physical Activity Education (926)

Published on in Vol 7, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23806, first published .
Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study

Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study

Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study

Authors of this article:

André Henriksen1 Author Orcid Image ;   Erlend Johannessen2 Author Orcid Image ;   Gunnar Hartvigsen2 Author Orcid Image ;   Sameline Grimsgaard1 Author Orcid Image ;   Laila Arnesdatter Hopstock1 Author Orcid Image
Article Authors Cited by (17) Tweetations (4) Metrics

Journals

  1. Hamasaki H. Daily Physical Activity and Sleep Measured by Wearable Activity Trackers during the Coronavirus Disease 2019 Pandemic: A Lesson for Preventing Physical Inactivity during Future Pandemics. Applied Sciences 2021;11(21):9956 View
  2. Dekkers T, Heirbaut T, Schouten S, Kelders S, Beerlage-de Jong N, Ludden G, Deenik J, Bouman Y, Kip H. A Mobile Self-control Training App to Improve Self-control and Physical Activity in People With Severe Mental Illness: Protocol for 2 Single-Case Experimental Designs. JMIR Research Protocols 2023;12:e37727 View
  3. Henriksen A, Johannessen E, Hartvigsen G, Grimsgaard S, Hopstock L. Dataset of consumer-based activity trackers as a tool for physical activity monitoring in epidemiological studies during the COVID-19 Pandemic. Data in Brief 2022;41:108003 View
  4. Brakenridge C, Salim A, Healy G, Grigg R, Carver A, Rickards K, Owen N, Dunstan D. The Associations of COVID-19 Lockdown Restrictions With Longer-Term Activity Levels of Working Adults With Type 2 Diabetes: Cohort Study. JMIR Diabetes 2022;7(2):e36181 View
  5. Panicker R, Chandrasekaran B. “Wearables on vogue”: a scoping review on wearables on physical activity and sedentary behavior during COVID-19 pandemic. Sport Sciences for Health 2022;18(3):641 View
  6. Davergne T, Kedra J, Gossec L. Wearable activity trackers and artificial intelligence in the management of rheumatic diseases. Zeitschrift für Rheumatologie 2021;80(10):928 View
  7. Wu Z, Wang Y, Zhang Y, Bennell K, White D, Shen L, Ren W, Wei J, Zeng C, Lei G. The COVID-19 Pandemic and Daily Steps in the General Population: Meta-analysis of Observational Studies. JMIR Public Health and Surveillance 2023;9:e40650 View
  8. Luong N, Barnett I, Aledavood T. The impact of the COVID-19 pandemic on daily rhythms. Journal of the American Medical Informatics Association 2023;30(12):1943 View
  9. Straiton N, Moons P, Verstrael A, Liu M, Winter M. Beyond validation: getting wearable activity trackers into cardiovascular care—a discussion paper. European Journal of Cardiovascular Nursing 2024;23(6):685 View
  10. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review. Journal of Medical Internet Research 2025;27:e51955 View
  11. Triana A, Salmi J, Hayward N, Saramäki J, Glerean E, Lewis L, Chambers C. Longitudinal single-subject neuroimaging study reveals effects of daily environmental, physiological, and lifestyle factors on functional brain connectivity. PLOS Biology 2024;22(10):e3002797 View
  12. Chung J, Pretzer-Aboff I, Parsons P, Falls K, Bulut E. Using a Device-Free Wi-Fi Sensing System to Assess Daily Activities and Mobility in Low-Income Older Adults: Protocol for a Feasibility Study. JMIR Research Protocols 2024;13:e53447 View
  13. Rusmitaningsih F, Subarjah H, Yustiana Y, Saputra D. Enhancing students’ engagement and motivation in physical education: the role of fitness tracker apps. Edu Sportivo: Indonesian Journal of Physical Education 2024;5(3):274 View
  14. Keppler A, Zaccaria R, Weigert M, Keppler L, Böcker W, Neuerburg C, Schniepp R, Fürmetz J. Wearable technology for mobility measurement in orthopedics and traumatology: a comparison of commercially available systems. Archives of Orthopaedic and Trauma Surgery 2025;145(1) View
  15. Johansson J, Deraas T, Hopstock L, Henriksen A, Grimsgaard S. Improving and preserving cardiorespiratory fitness, muscle strength and adiposity through a complex lifestyle intervention in community-dwelling older adults with elevated cardiometabolic risk: study protocol for the RESTART randomised controlled trial. BMJ Open 2025;15(4):e095810 View
  16. Weitz M, Syed S, Hopstock L, Morseth B, Henriksen A, Horsch A, da Costa J. Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study. PLOS One 2025;20(5):e0321558 View

Conference Proceedings

  1. Purawat S, Dasgupta S, Song J, Davis S, Claypool K, Chandra S, Mason A, Viswanath V, Klein A, Kasl P, Wen Y, Smarr B, Gupta A, Altintas I. 2021 IEEE International Conference on Big Data (Big Data). TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19 View