Published on in Vol 6, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10527, first published .
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data

Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data

Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data

Journals

  1. Liew S, Gorny A, Tan C, Müller-Riemenschneider F. A Mobile Health Team Challenge to Promote Stepping and Stair Climbing Activities: Exploratory Feasibility Study. JMIR mHealth and uHealth 2020;8(2):e12665 View
  2. Greenberg J, Mace R, Popok P, Kulich R, Patel K, Burns J, Somers T, Keefe F, Schatman M, Vrancenanu A. <p>Psychosocial Correlates of Objective, Performance-Based, and Patient-Reported Physical Function Among Patients with Heterogeneous Chronic Pain</p>. Journal of Pain Research 2020;Volume 13:2255 View
  3. Schwab M, Brindl N, Studier-Fischer A, Tu T, Gsenger J, Pilgrim M, Friedrich M, Frey P, Achilles C, Leuck A, Bürgel T, Feisst M, Klose C, Tenckhoff S, Dörr-Harim C, Mihaljevic A. Postoperative complications and mobilisation following major abdominal surgery with vs. without fitness tracker-based feedback (EXPELLIARMUS): study protocol for a student-led multicentre randomised controlled trial (CHIR-Net SIGMA study group). Trials 2020;21(1) View
  4. Patterson J, Wu H, Chung C, Bendich I, Barry J, Bini S. Wearable activity sensors and early pain after total joint arthroplasty. Arthroplasty Today 2020;6(1):68 View
  5. Rykov Y, Thach T, Dunleavy G, Roberts A, Christopoulos G, Soh C, Car J. Activity Tracker–Based Metrics as Digital Markers of Cardiometabolic Health: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e16409 View
  6. Herkert C, Kraal J, van Loon E, van Hooff M, Kemps H. Usefulness of Modern Activity Trackers for Monitoring Exercise Behavior in Chronic Cardiac Patients: Validation Study. JMIR mHealth and uHealth 2019;7(12):e15045 View
  7. Doryab A, Villalba D, Chikersal P, Dutcher J, Tumminia M, Liu X, Cohen S, Creswell K, Mankoff J, Creswell J, Dey A. Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data. JMIR mHealth and uHealth 2019;7(7):e13209 View
  8. Pardamean B, Soeparno H, Budiarto A, Mahesworo B, Baurley J. Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health. Healthcare Informatics Research 2020;26(2):83 View
  9. Kline K, Moorman V. Evaluation of a Commercial Activity Monitor for Determining Step Counts in Horses. Journal of Equine Veterinary Science 2020;95:103272 View
  10. Silveira S, Motl R. Activity monitor use among persons with multiple sclerosis: Report on rate, pattern, and association with physical activity levels. Multiple Sclerosis Journal - Experimental, Translational and Clinical 2019;5(4):205521731988798 View
  11. Azza Y, Grueschow M, Karlen W, Seifritz E, Kleim B. How stress affects sleep and mental health: nocturnal heart rate increases during prolonged stress and interacts with childhood trauma exposure to predict anxiety. Sleep 2020;43(6) View
  12. O’Driscoll R, Turicchi J, Hopkins M, Gibbons C, Larsen S, Palmeira A, Heitmann B, Horgan G, Finlayson G, Stubbs R. The validity of two widely used commercial and research-grade activity monitors, during resting, household and activity behaviours. Health and Technology 2020;10(3):637 View
  13. Vollmer-Conna U, Beilharz J, Cvejic E, Macnamara C, Doherty M, Steel Z, Hadzi-Pavlovic D, Harvey S, Parker G. The well-being of medical students: A biopsychosocial approach. Australian & New Zealand Journal of Psychiatry 2020;54(10):997 View
  14. O’Driscoll R, Turicchi J, Duarte C, Michalowska J, Larsen S, Palmeira A, Heitmann B, Horgan G, Stubbs R, Najafi B. A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors. PLOS ONE 2020;15(6):e0235144 View
  15. Michalsen H, Wangberg S, Hartvigsen G, Jaccheri L, Muzny M, Henriksen A, Olsen M, Thrane G, Jahnsen R, Pettersen G, Arntzen C, Anke A. Physical Activity With Tailored mHealth Support for Individuals With Intellectual Disabilities: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(6):e19213 View
  16. Reed J, Dinkel D, Bice M, Estabrooks P, Pozehl B, Heelan K. Perceptions of participants and staff of implementing a physical activity program in rural primary care. Evaluation and Program Planning 2020;79:101772 View
  17. Bonten T, Rauwerdink A, Wyatt J, Kasteleyn M, Witkamp L, Riper H, van Gemert-Pijnen L, Cresswell K, Sheikh A, Schijven M, Chavannes N. Online Guide for Electronic Health Evaluation Approaches: Systematic Scoping Review and Concept Mapping Study. Journal of Medical Internet Research 2020;22(8):e17774 View
  18. Whittle R. Distance travelled by military recruits during basic training is a significant risk factor for lower limb overuse injury. BMJ Military Health 2020:bmjmilitary-2020-001445 View
  19. Fuller D, Colwell E, Low J, Orychock K, Tobin M, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, Taylor N. Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR mHealth and uHealth 2020;8(9):e18694 View
  20. Turicchi J, O'Driscoll R, Horgan G, Duarte C, Santos I, Encantado J, Palmeira A, Larsen S, Olsen J, Heitmann B, Stubbs R. Body weight variability is not associated with changes in risk factors for cardiometabolic disease. International Journal of Cardiology Hypertension 2020;6:100045 View
  21. Semanik P, Lee J, Pellegrini C, Song J, Dunlop D, Chang R. Comparison of Physical Activity Measures Derived From the Fitbit Flex and the ActiGraph GT3X+ in an Employee Population With Chronic Knee Symptoms. ACR Open Rheumatology 2020;2(1):48 View
  22. Lozano-Lozano M, Cantarero-Villanueva I, Martin-Martin L, Galiano-Castillo N, Sanchez M, Fernández-Lao C, Postigo-Martin P, Arroyo-Morales M. A Mobile System to Improve Quality of Life Via Energy Balance in Breast Cancer Survivors (BENECA mHealth): Prospective Test-Retest Quasiexperimental Feasibility Study. JMIR mHealth and uHealth 2019;7(6):e14136 View
  23. Baek S, Ha Y, Park H. Accuracy of Wearable Devices for Measuring Heart Rate During Conventional and Nordic Walking. PM&R 2021;13(4):379 View
  24. Junaid H, Bulla A, Benjamin M, Wind T, Nazaruk D. Using Self-Management and Social Media to Increase Steps in Sedentary College Students. Behavior Analysis in Practice 2020 View
  25. Jones D, Hart H, Crossley K, Ackerman I, Kemp J. What is the Agreement Between Two Generations of Commercial Accelerometer in a Free-Living Environment for Young to Middle-Aged Adults?. Journal for the Measurement of Physical Behaviour 2019;2(2):49 View
  26. Tamura T. Wearable oxygen uptake and energy expenditure monitors. Physiological Measurement 2019;40(8):08TR01 View
  27. Haghayegh S, Khoshnevis S, Smolensky M, Diller K, Castriotta R. Performance assessment of new-generation Fitbit technology in deriving sleep parameters and stages. Chronobiology International 2020;37(1):47 View
  28. Blondeel A, Demeyer H, Janssens W, Troosters T, Cavalheri V. Accuracy of consumer-based activity trackers as measuring tool and coaching device in patients with COPD and healthy controls. PLOS ONE 2020;15(8):e0236676 View
  29. Brickwood K, Watson G, O'Brien J, Williams A. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2019;7(4):e11819 View
  30. Mosler A, Kemp J, King M, Lawrenson P, Semciw A, Freke M, Jones D, Casartelli N, Wörner T, Ishøi L, Ageberg E, Diamond L, Hunt M, Di Stasi S, Reiman M, Drew M, Friedman D, Thorborg K, Leunig M, Bizzini M, Khan K, Crossley K, Agricola R, Bloom N, Dijkstra H, Griffin D, Gojanovic B, Harris-Hayes M, Heerey J, Hölmich P, Impellizzeri F, Kassarjian A, Warholm K, Mayes S, Moksnes H, Risberg M, Scholes M, Serner A, van Klij P, Lewis C. Standardised measurement of physical capacity in young and middle-aged active adults with hip-related pain: recommendations from the first International Hip-related Pain Research Network (IHiPRN) meeting, Zurich, 2018. British Journal of Sports Medicine 2020;54(12):702 View
  31. Brazendale K, Beets M, Weaver R, Perry M, Tyler E, Hunt E, Decker L, Chaput J. Comparing measures of free-living sleep in school-aged children. Sleep Medicine 2019;60:197 View
  32. Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954 View
  33. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
  34. Nemec E, Thomas M, Gile K, Tong J, Mattison M. Examining the Relationship Between Biometric Indicators and Pharmacy Students' Academic Performance. American Journal of Pharmaceutical Education 2020;84(5):7683 View
  35. Henriksen A, Sand A, Deraas T, Grimsgaard S, Hartvigsen G, Hopstock L. Succeeding with prolonged usage of consumer-based activity trackers in clinical studies: a mixed methods approach. BMC Public Health 2020;20(1) View
  36. Jonker L, Hendriks S, Lahr M, van Munster B, de Bock G, van Leeuwen B. Postoperative recovery of accelerometer-based physical activity in older cancer patients. European Journal of Surgical Oncology 2020;46(11):2083 View
  37. Khundaqji H, Hing W, Furness J, Climstein M. Smart Shirts for Monitoring Physiological Parameters: Scoping Review. JMIR mHealth and uHealth 2020;8(5):e18092 View
  38. Foster K, Torous J. The Opportunity and Obstacles for Smartwatches and Wearable Sensors. IEEE Pulse 2019;10(1):22 View
  39. Tang M, Moore K, McGavigan A, Clark R, Ganesan A. Effectiveness of Wearable Trackers on Physical Activity in Healthy Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(7):e15576 View
  40. Mikkelsen M, Berg-Beckhoff G, Frederiksen P, Horgan G, O’Driscoll R, Palmeira A, Scott S, Stubbs J, Heitmann B, Larsen S, Bergman P. Estimating physical activity and sedentary behaviour in a free-living environment: A comparative study between Fitbit Charge 2 and Actigraph GT3X. PLOS ONE 2020;15(6):e0234426 View
  41. Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O'Flynn B. Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort. JMIR mHealth and uHealth 2019;7(6):e13084 View
  42. Faust L, Wang C, Hachen D, Lizardo O, Chawla N. Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data. JMIR mHealth and uHealth 2019;7(3):e11075 View
  43. Qureshi S, Purdy N, Neumann W. Development of a Methodology for Healthcare System Simulations to Quantify Nurse Workload and Quality of Care. IISE Transactions on Occupational Ergonomics and Human Factors 2020;8(1):27 View
  44. Lee S, Ha Y, Jung M, Yang S, Kang W. The Effects of a Mobile Wellness Intervention with Fitbit Use and Goal Setting for Workers. Telemedicine and e-Health 2019;25(11):1115 View
  45. Elmagboul N, Coburn B, Foster J, Mudano A, Melnick J, Bergman D, Yang S, Chen L, Filby C, Mikuls T, Curtis J, Saag K. Physical activity measured using wearable activity tracking devices associated with gout flares. Arthritis Research & Therapy 2020;22(1) View
  46. Faust L, Feldman K, Mattingly S, Hachen D, V. Chawla N. Deviations from normal bedtimes are associated with short-term increases in resting heart rate. npj Digital Medicine 2020;3(1) View
  47. Singhal A, Cowie M. The Role of Wearables in Heart Failure. Current Heart Failure Reports 2020;17(4):125 View
  48. Mittlesteadt J, Bambach S, Dawes A, Wentzel E, Debs A, Sezgin E, Digby D, Huang Y, Ganger A, Bhatnagar S, Ehrenberg L, Nunley S, Glynn P, Lin S, Rust S, Patel A. Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning. Journal of Child Neurology 2020;35(13):873 View
  49. Tedesco S, Sica M, Ancillao A, Timmons S, Barton J, O’Flynn B, Najafi B. Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults. PLOS ONE 2019;14(5):e0216891 View
  50. Darvall J, Wang A, Nazeem M, Harrison C, Clarke L, Mendoza C, Parker A, Harrap B, Teale G, Story D, Hessian E. A Pedometer-Guided Physical Activity Intervention for Obese Pregnant Women (the Fit MUM Study): Randomized Feasibility Study. JMIR mHealth and uHealth 2020;8(5):e15112 View
  51. Henriksen A, Grimsgaard S, Horsch A, Hartvigsen G, Hopstock L. Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study. JMIR Formative Research 2019;3(3):e14438 View
  52. Kwon S, Ahn J, Lee S, Lee J, Lee D, Hong J, Kim H, Yoon H. Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(6):e13327 View
  53. Arumugam S, Colburn D, Sia S. Biosensors for Personal Mobile Health: A System Architecture Perspective. Advanced Materials Technologies 2020;5(3):1900720 View
  54. Rüdiger S, Stuckenschneider T, Abeln V, Askew C, Wollseiffen P, Schneider S. Validation of a widely used heart rate monitor to track steps in older adults. The Journal of Sports Medicine and Physical Fitness 2019;59(10) View
  55. Kim B, Kwon H, Chun M, Park K, Lim S, Jeong J, Kim G. White Matter Integrity Is Associated With the Amount of Physical Activity in Older Adults With Super-aging. Frontiers in Aging Neuroscience 2020;12 View
  56. Feng S, Yi J, Deitz G, Ding L, Van Gelder R, Menda S. Relationships Between Sleep, Activity, and Burnout in Ophthalmology Residents. Journal of Surgical Education 2021;78(3):1035 View
  57. Collins J, Yang H, Trentadue T, Gong Y, Losina E, Parmenter B. Validation of the Fitbit Charge 2 compared to the ActiGraph GT3X+ in older adults with knee osteoarthritis in free-living conditions. PLOS ONE 2019;14(1):e0211231 View
  58. Thota D. Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study. JMIR Formative Research 2020;4(9):e18086 View
  59. Buckingham S, Morrissey K, Williams A, Price L, Harrison J. The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact. BMC Public Health 2020;20(1) View
  60. Sjöberg V, Westergren J, Monnier A, Lo Martire R, Hagströmer M, Äng B, Vixner L. Wrist-Worn Activity Trackers in Laboratory and Free-Living Settings for Patients With Chronic Pain: Criterion Validity Study. JMIR mHealth and uHealth 2021;9(1):e24806 View
  61. Weisberg A, Campelo A, Bhaidani T, Katz L. Physical Activity Tracking Wristbands for Use in Research With Older Adults: An Overview and Recommendations. Journal for the Measurement of Physical Behaviour 2020;3(4):265 View
  62. Rahimy E, Usoz M, von Eyben R, Fujimoto D, Watanabe D, Karam A, Jairam-Thodla A, Mills M, Dorigo O, Diver E, Teng N, English D, Kidd E. Phase II trial evaluating efficacy of a Fitbit program for improving the health of endometrial cancer survivors. Gynecologic Oncology 2021;161(1):275 View
  63. Twomey R, Culos-Reed S, Daun J, Ferber R, Dort J. Wearable activity trackers and mobilization after major head and neck cancer surgery: You can't improve what you don't measure. International Journal of Surgery 2020;84:120 View
  64. Tan L, Tivey D, Kopunic H, Babidge W, Langley S, Maddern G. Part 1: Artificial intelligence technology in surgery. ANZ Journal of Surgery 2020;90(12):2409 View
  65. Viceconti M, Hernandez Penna S, Dartee W, Mazzà C, Caulfield B, Becker C, Maetzler W, Garcia-Aymerich J, Davico G, Rochester L. Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson’s Patients Using Digital Mobility Outcomes. Sensors 2020;20(20):5920 View
  66. Biondi A, Laiou P, Bruno E, Viana P, Schreuder M, Hart W, Nurse E, Pal D, Richardson M. Remote and Long-Term Self-Monitoring of Electroencephalographic and Noninvasive Measurable Variables at Home in Patients With Epilepsy (EEG@HOME): Protocol for an Observational Study. JMIR Research Protocols 2021;10(3):e25309 View
  67. Shapiro A, Bradshaw B, Landes S, Kammann P, Bois De Fer B, Lee W, Lange R. A novel digital approach to describe real world outcomes among patients with constipation. npj Digital Medicine 2021;4(1) View
  68. McVeigh J, Ellis J, Ross C, Tang K, Wan P, Halse R, Dhaliwal S, Kerr D, Straker L. Convergent Validity of the Fitbit Charge 2 to Measure Sedentary Behavior and Physical Activity in Overweight and Obese Adults. Journal for the Measurement of Physical Behaviour 2021;4(1):39 View
  69. Claudel S, Tamura K, Troendle J, Andrews M, Ceasar J, Mitchell V, Vijayakumar N, Powell-Wiley T. Comparing Methods to Identify Wear-Time Intervals for Physical Activity With the Fitbit Charge 2. Journal of Aging and Physical Activity 2021;29(3):529 View
  70. Fowler S, Walker S, Jones T, Gell L. Sleep in Aneurysmal Subarachnoid Hemorrhage Patients During Critical and Acute Care. Dimensions of Critical Care Nursing 2021;40(2):118 View
  71. Fore R, Hart J, Choirat C, Thompson J, Lynch K, Laden F, Chavarro J, James P. Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer. Cancer Epidemiology Biomarkers & Prevention 2020;29(4):736 View
  72. Hartung V, Sarshar M, Karle V, Shammas L, Rashid A, Roullier P, Eilers C, Mäurer M, Flachenecker P, Pfeifer K, Tallner A. Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types. International Journal of Environmental Research and Public Health 2020;17(24):9314 View
  73. Ma J, Chan A, Sandhu A, Li L. Wearable Physical Activity Measurement Devices Used in Arthritis. Arthritis Care & Research 2020;72(S10):703 View
  74. Venetsanou F, Emmanouilidou K, Soutos K, Sotiriou S, Bastida L, Moya A, Kambas A. Towards a Functional Approach to the Assessment of Daily Life Physical Activity in Children: Are the PAQ-C and Fitbit Flex-2 Technically Adequate?. International Journal of Environmental Research and Public Health 2020;17(22):8503 View
  75. Carlin T, Vuillerme N. Step and Distance Measurement From a Low-Cost Consumer-Based Hip and Wrist Activity Monitor: Protocol for a Validity and Reliability Assessment. JMIR Research Protocols 2021;10(1):e21262 View
  76. Lang C, Barth J, Holleran C, Konrad J, Bland M. Implementation of Wearable Sensing Technology for Movement: Pushing Forward into the Routine Physical Rehabilitation Care Field. Sensors 2020;20(20):5744 View
  77. Ong J, Lau T, Massar S, Chong Z, Ng B, Koek D, Zhao W, Yeo B, Cheong K, Chee M. COVID-19-related mobility reduction: heterogenous effects on sleep and physical activity rhythms. Sleep 2021;44(2) View
  78. Schumacher L, Thomas C, Ainsworth M, Arigo D. Social predictors of daily relations between college women’s physical activity intentions and behavior. Journal of Behavioral Medicine 2021;44(2):270 View
  79. Lam T, Cheema B, Hayden A, Lord S, Gurney H, Gounden S, Reddy N, Shahidipour H, Read S, Stone G, McLean M, Birzniece V. Androgen deprivation in prostate cancer: benefits of home-based resistance training. Sports Medicine - Open 2020;6(1) View
  80. Mair J, Campbell A, Hayes L, Sculthorpe N. The Power of Wearables: Is it Time to Use Commercially Available Activity Tracker Data Retrospectively to Understand Population Physical Activity Patterns?. SSRN Electronic Journal 2021 View
  81. Spencer J, Staffileno B. Exercise Intervention: A Pilot Study to Assess the Feasibility and Impact on Cancer-Related Fatigue and Quality of Life Among Patients With High-Grade Glioma. Clinical Journal of Oncology Nursing 2021;25(2):194 View
  82. McClung H, Raynor H, Volpe S, Dwyer J, Papoutsakis C. A Primer for the Evaluation and Integration of Dietary Intake and Physical Activity Digital Measurement Tools into Nutrition and Dietetics Practice. Journal of the Academy of Nutrition and Dietetics 2021 View
  83. St Fleur R, St George S, Leite R, Kobayashi M, Agosto Y, Jake-Schoffman D. Use of Fitbit Devices in Physical Activity Intervention Studies Across the Life Course: Narrative Review. JMIR mHealth and uHealth 2021;9(5):e23411 View
  84. Allen R, Burney C, Davis A, Henkin J, Kelly J, Judd B, Ivatury S. Deep Sleep and Beeps: Sleep Quality Improvement Project in General Surgery Patients. Journal of the American College of Surgeons 2021;232(6):882 View
  85. Pino-Ortega J, Gómez-Carmona C, Rico-González M. Accuracy of Xiaomi Mi Band 2.0, 3.0 and 4.0 to measure step count and distance for physical activity and healthcare in adults over 65 years. Gait & Posture 2021;87:6 View
  86. Fiedler J, Eckert T, Burchartz A, Woll A, Wunsch K. Comparison of Self-Reported and Device-Based Measured Physical Activity Using Measures of Stability, Reliability, and Validity in Adults and Children. Sensors 2021;21(8):2672 View
  87. Browne J, Battaglini C, Jarskog L, Sheeran P, Abrantes A, McDermott J, Elliott T, Gonzalez O, Penn D. Targeting physical health in schizophrenia: Results from the Physical Activity Can Enhance Life (PACE-Life) 24-week open trial. Mental Health and Physical Activity 2021;20:100393 View
  88. Hogan J, Grant G, Kelly F, O’Hare J. A time in motion study of impact of robotics on medication supply in an Australian hospital pharmacy. Journal of Pharmacy Practice and Research 2021;51(2):129 View
  89. Reynolds R, Smith V, Macniven R, Judd J. Comparison of free‐living physical activity data obtained from a Fitbit Zip, the Apple iPhone Health app and a modified Bouchard Activity Record. Health Promotion Journal of Australia 2021 View
  90. Singhal A, Cowie M. Digital Health: Implications for Heart Failure Management. Cardiac Failure Review 2021;7 View
  91. Hibbing P, Lamoureux N, Matthews C, Welk G. Protocol and Data Description: The Free-Living Activity Study for Health. Journal for the Measurement of Physical Behaviour 2021:1 View
  92. Chevance G, Baretta D, Heino M, Perski O, Olthof M, Klasnja P, Hekler E, Godino J, Jan Y. Characterizing and predicting person-specific, day-to-day, fluctuations in walking behavior. PLOS ONE 2021;16(5):e0251659 View
  93. Bai Y, Tompkins C, Gell N, Dione D, Zhang T, Byun W, Bergman P. Comprehensive comparison of Apple Watch and Fitbit monitors in a free-living setting. PLOS ONE 2021;16(5):e0251975 View
  94. Hakala S, Kivistö H, Paajanen T, Kankainen A, Anttila M, Heinonen A, Sjögren T. Effectiveness of Distance Technology in Promoting Physical Activity in Cardiovascular Disease Rehabilitation: Cluster Randomized Controlled Trial, A Pilot Study. JMIR Rehabilitation and Assistive Technologies 2021;8(2):e20299 View
  95. Walsh J, Richmond J, Mc Sharry J, Groarke A, Glynn L, Kelly M, Harney O, Groarke J. Examining the Impact of an mHealth Behavior Change Intervention With a Brief In-Person Component for Cancer Survivors With Overweight or Obesity: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(7):e24915 View
  96. Rhodes R, Blanchard C, Quinlan A, Symons Downs D, Warburton D, Beauchamp M. Couple-Based Physical Activity Planning for New Parents: A Randomized Trial. American Journal of Preventive Medicine 2021 View
  97. Hagemann N, Kirtley O, Lafit G, Wampers M, Achterhof R, Hermans K, Hiekkaranta A, Lecei A, Vancampfort D, Myin-Germeys I. Objectively measured physical activity and symptoms of psychopathology in general population adolescents from the SIGMA cohort. Mental Health and Physical Activity 2021;21:100416 View
  98. Jourdan T, Debs N, Frindel C. The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. Sensors 2021;21(14):4808 View
  99. Rykov Y, Thach T, Bojic I, Christopoulos G, Car J. Digital biomarkers for depression screening: a cross-sectional study with machine learning modelling (Preprint). JMIR mHealth and uHealth 2020 View
  100. Farmer C, van den Berg M, Vuu S, Barr C. A study of the accuracy of the Fitbit Zip in measuring steps both indoors and outdoors in a mixed rehabilitation population. Clinical Rehabilitation 2021:026921552110352 View
  101. Adamakis M. Criterion Validity of iOS and Android Applications to Measure Steps and Distance in Adults. Technologies 2021;9(3):55 View
  102. Parsons B, Nagelhout E, Wankier A, Hu N, Lensink R, Zhu A, Nottingham K, Grossman D, Jensen J, Wu Y. Reactivity to Ultraviolet Radiation Exposure Monitoring Using Personal Exposure Devices for Skin Cancer Prevention: Longitudinal Observational Study (Preprint). JMIR mHealth and uHealth 2021 View
  103. O'Driscoll R, Turicchi J, Hopkins M, Duarte C, Horgan G, Finlayson G, Stubbs R. Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study. JMIR mHealth and uHealth 2021;9(8):e23938 View
  104. Anchouche K, Elharram M, Oulousian E, Razaghizad A, Avram R, Marquis-Gravel G, Randhawa V, Nkulikiyinka R, Ni W, Fiuzat M, O'Connor C, Psotka M, Fox J, Tyl B, Kao D, Sharma A. Use of Actigraphy (Wearable Digital Sensors to Monitor Activity) in Heart Failure Randomized Clinical Trials: A Scoping Review. Canadian Journal of Cardiology 2021 View
  105. Curran M, Tierney A, Collins L, Kennedy L, McDonnell C, Sheikhi A, Walsh C, Casserly B, Cahalan R. Accuracy of the ActivPAL and Fitbit Charge 2 in measuring step count in Cystic Fibrosis. Physiotherapy Theory and Practice 2021:1 View
  106. Minen M, Stieglitz E. Wearables for Neurologic Conditions. Neurology: Clinical Practice 2021;11(4):e537 View
  107. Abrantes A, Van Noppen D, Bailey G, Uebelacker L, Buman M, Stein M. A feasibility study of a peer-facilitated physical activity intervention in methadone maintenance. Mental Health and Physical Activity 2021:100419 View
  108. Sokas D, Paliakaitė B, Rapalis A, Marozas V, Bailón R, Petrėnas A. Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device. Frontiers in Physiology 2021;12 View
  109. Garza J, Wu Z, Singh M, Cherniack M. Comparison of the Wrist-Worn Fitbit Charge 2 and the Waist-Worn Actigraph GTX3 for Measuring Steps Taken in Occupational Settings. Annals of Work Exposures and Health 2021 View

Books/Policy Documents

  1. . The Handbook of Wellness Medicine. View
  2. Gonzalez A, Bufe J, Tran H. Reference Module in Neuroscience and Biobehavioral Psychology. View
  3. Gómez-Martínez M, Orte S, Ros-Freixedes L, Seif K, Vargiu E. Wearables in Healthcare. View