Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35626, first published .
Accuracy and Precision of Energy Expenditure, Heart Rate, and Steps Measured by Combined-Sensing Fitbits Against Reference Measures: Systematic Review and Meta-analysis

Accuracy and Precision of Energy Expenditure, Heart Rate, and Steps Measured by Combined-Sensing Fitbits Against Reference Measures: Systematic Review and Meta-analysis

Accuracy and Precision of Energy Expenditure, Heart Rate, and Steps Measured by Combined-Sensing Fitbits Against Reference Measures: Systematic Review and Meta-analysis

Journals

  1. Modde Epstein C, McCoy T. Linking Electronic Health Records With Wearable Technology From the All of Us Research Program. Journal of Obstetric, Gynecologic & Neonatal Nursing 2023;52(2):139 View
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  6. Park J, Kim M, El Mistiri M, Kha R, Banerjee S, Gotzian L, Chevance G, Rivera D, Klasnja P, Hekler E. Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions. JMIR Research Protocols 2023;12:e52161 View
  7. Colonna G, Hoye J, de Laat B, Stanley G, Ibrahimy A, Tinaz S, Morris E. Measuring Heart Rate Accurately in Patients With Parkinson Disease During Intense Exercise: Usability Study of Fitbit Charge 4. JMIR Biomedical Engineering 2023;8:e51515 View
  8. Suau Q, Bianchini E, Bellier A, Chardon M, Milane T, Hansen C, Vuillerme N. Current Knowledge about ActiGraph GT9X Link Activity Monitor Accuracy and Validity in Measuring Steps and Energy Expenditure: A Systematic Review. Sensors 2024;24(3):825 View
  9. Ogata H, Negishi Y, Koizumi N, Nagayama H, Kaneko M, Kiyono K, Omi N. Individually optimized estimation of energy expenditure in rescue workers using a tri-axial accelerometer and heart rate monitor. Frontiers in Physiology 2024;15 View
  10. McMahon S, Lewis B, Guan W, Wang Q, Hayes S, Wyman J, Rothman A. Effect of Intrapersonal and Interpersonal Behavior Change Strategies on Physical Activity Among Older Adults. JAMA Network Open 2024;7(2):e240298 View
  11. BUENDIA R, KARPEFORS M, FOLKVALJON F, HUNTER R, SILLEN H, LUU L, DOCHERTY K, COWIE M. Wearable Sensors to Monitor Physical Activity in Heart Failure Clinical Trials: State-of-the-Art Review. Journal of Cardiac Failure 2024;30(5):703 View
  12. Lang A, Bruhn R, Fehling M, Heidenreich A, Reisdorf J, Khanyaree I, Henningsen M, Remschmidt C. Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study. JMIR mHealth and uHealth 2024;12:e50135 View
  13. Bragada J, Magalhães P, São-Pedro E, Bartolomeu R, Morais J. Net Heart Rate for Estimating Oxygen Consumption in Active Adults. Journal of Functional Morphology and Kinesiology 2024;9(2):66 View
  14. Chan A, Te Ao B, Baggott C, Cavadino A, Eikholt A, Harwood M, Hikaka J, Gibbs D, Hudson M, Mirza F, Naeem M, Semprini R, Chang C, Tsang K, Shah S, Jeremiah A, Abeysinghe B, Roy R, Wall C, Wood L, Dalziel S, Pinnock H, van Boven J, Roop P, Harrison J. DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks—a prospective observational study using digital markers and artificial intelligence—study protocol. BMJ Open Respiratory Research 2024;11(1):e002275 View
  15. Fanaroff A, Patel M, Chokshi N, Coratti S, Farraday D, Norton L, Rareshide C, Zhu J, Klaiman T, Szymczak J, Russell L, Small D, Volpp K. Effect of Gamification, Financial Incentives, or Both to Increase Physical Activity Among Patients at High Risk of Cardiovascular Events: The BE ACTIVE Randomized Controlled Trial. Circulation 2024;149(21):1639 View
  16. Doherty C, Baldwin M, Keogh A, Caulfield B, Argent R. Keeping Pace with Wearables: A Living Umbrella Review of Systematic Reviews Evaluating the Accuracy of Consumer Wearable Technologies in Health Measurement. Sports Medicine 2024;54(11):2907 View
  17. Rosato A, Larsson M, Rullman E, Dual S. Evidence of spontaneous cardiac-locomotor coupling during daily activities in healthy adults. Frontiers in Physiology 2024;15 View
  18. Prokopakis I, Gialelis J, Protopsaltis G. Real Time Estimation of Energy Expenditure during Physical Activity Using Ensemble Methods. Procedia Computer Science 2024;241:582 View
  19. Maes I, Carlier S, Latomme J, De Backere F, Cardon G, Van Dyck D, Collins T. Unveiling Digital Pathways to Active Aging: An Exploratory Mixed Methods Study of Older Adults’ Experiences and the Impact of Person‐Level Factors on mHealth Intervention Engagement. Health & Social Care in the Community 2024;2024(1) View
  20. Mun S, Park K, Kim J, Kim J, Lee S. Assessment of heart rate measurements by commercial wearable fitness trackers for early identification of metabolic syndrome risk. Scientific Reports 2024;14(1) View
  21. Tanriver G, Stanojevic S, Filipow N, Douglas H, Raywood E, Kapoor K, Davies G, Murray N, O'Connor R, Robinson E, Main E. Using heart rate data from wrist worn activity trackers to define thresholds for moderate to vigorous physical activity in children and young people with cystic fibrosis. Journal of Cystic Fibrosis 2024 View
  22. Li Z, Feng W, Zhou L, Gong S. Accuracy of wrist-worn activity trackers for measuring steps in patients after major abdominal surgery: A validation study. DIGITAL HEALTH 2024;10 View
  23. Maylor B, Rowlands A, Daley A, Sanders J, Yates T, Edwardson C. Research-Grade Accelerometers to Assess Intervention Effectiveness and Commercial Wearables as a Self-Monitoring Tool: Are the Two Aligned on Moderate to Vigorous Physical Activity?. Journal for the Measurement of Physical Behaviour 2024;7(1) View