Published on in Vol 5, No 10 (2017): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7311, first published .
Determinants for Sustained Use of an Activity Tracker: Observational Study

Determinants for Sustained Use of an Activity Tracker: Observational Study

Determinants for Sustained Use of an Activity Tracker: Observational Study

Journals

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  2. Ummels D, Beekman E, Moser A, Braun S, Beurskens A. Patients’ experiences with commercially available activity trackers embedded in physiotherapy treatment: a qualitative study. Disability and Rehabilitation 2020;42(23):3284 View
  3. Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Computers in Human Behavior 2020;102:223 View
  4. Kooiman T, Dijkstra A, Kooy A, Dotinga A, van der Schans C, de Groot M. The Role of Self-Regulation in the Effect of Self-Tracking of Physical Activity and Weight on BMI. Journal of Technology in Behavioral Science 2020;5(2):206 View
  5. Claes J, Cornelissen V, McDermott C, Moyna N, Pattyn N, Cornelis N, Gallagher A, McCormack C, Newton H, Gillain A, Budts W, Goetschalckx K, Woods C, Moran K, Buys R. PATHway-I: Feasibility, acceptability and clinical effectiveness of a technology enabled cardiac rehabilitation platform. A randomized controlled trial. (Preprint). Journal of Medical Internet Research 2019 View
  6. Cristiano A, Sanna A, Trojaniello D. Validity of a Smart-Glasses-Based Step-Count Measure during Simulated Free-Living Conditions. Information 2020;11(9):404 View
  7. Hartman S, Nelson S, Weiner L. Patterns of Fitbit Use and Activity Levels Throughout a Physical Activity Intervention: Exploratory Analysis from a Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(2):e29 View
  8. Ridgers N, Timperio A, Brown H, Ball K, Macfarlane S, Lai S, Richards K, Mackintosh K, McNarry M, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86 View
  9. Alcántara-Aragón V, Rodrigo-Cano S, Lupianez-Barbero A, Martinez M, Martinez C, Tapia J, Iniesta J, Tenes S, Urgell E, Navarro G, Hernando M, Merino-Torres J, de Leiva A, Gonzalez C. Web Support for Weight-Loss Interventions: PREDIRCAM2 Clinical Trial Baseline Characteristics and Preliminary Results. Diabetes Technology & Therapeutics 2018;20(5):380 View
  10. Voskuil V, Stroup S, Leyden M. Acceptability and Usability of a Wearable Activity Tracker and Application Among Inactive Adolescent Girls. Physical Activity and Health 2020;4(1):52 View
  11. Cox N, Holland A. Current perspectives of physical activity in cystic fibrosis. Expert Review of Respiratory Medicine 2019;13(1):13 View
  12. Wiesner M, Zowalla R, Suleder J, Westers M, Pobiruchin M. Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study. JMIR mHealth and uHealth 2018;6(12):e201 View
  13. Panda N, Solsky I, Huang E, Lipsitz S, Pradarelli J, Delisle M, Cusack J, Gadd M, Lubitz C, Mullen J, Qadan M, Smith B, Specht M, Stephen A, Tanabe K, Gawande A, Onnela J, Haynes A. Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery. JAMA Surgery 2020;155(2):123 View
  14. Meng Y, Speier W, Shufelt C, Joung S, E Van Eyk J, Bairey Merz C, Lopez M, Spiegel B, Arnold C. A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data. IEEE Journal of Biomedical and Health Informatics 2020;24(3):878 View
  15. Waalen J, Peters M, Ranamukhaarachchi D, Li J, Ebner G, Senkowsky J, Topol E, Steinhubl S, Mortazavi B. Real world usage characteristics of a novel mobile health self-monitoring device: Results from the Scanadu Consumer Health Outcomes (SCOUT) Study. PLOS ONE 2019;14(4):e0215468 View
  16. Mueller C, Stollfuss B, Roitenberg A, Harder J, Richter M. Evaluation of Clinical Outcomes and Simultaneous Digital Tracking of Daily Physical Activity, Heart Rate, and Inhalation Behavior in Patients With Pulmonary Arterial Hypertension Treated With Inhaled Iloprost: Protocol for the Observational VENTASTEP Study. JMIR Research Protocols 2019;8(4):e12144 View
  17. Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P. Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis. Journal of Medical Internet Research 2020;22(3):e15790 View
  18. Grym K, Niela-Vilén H, Ekholm E, Hamari L, Azimi I, Rahmani A, Liljeberg P, Löyttyniemi E, Axelin A. Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth. BMC Pregnancy and Childbirth 2019;19(1) View
  19. 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
  20. De Moya J, Pallud J. From panopticon to heautopticon: A new form of surveillance introduced by quantified‐self practices. Information Systems Journal 2020;30(6):940 View
  21. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  22. Degroote L, Hamerlinck G, Poels K, Maher C, Crombez G, De Bourdeaudhuij I, Vandendriessche A, Curtis R, DeSmet A. Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study. JMIR mHealth and uHealth 2020;8(5):e16674 View
  23. Lin F, Windasari N. Continued use of wearables for wellbeing with a cultural probe. The Service Industries Journal 2019;39(15-16):1140 View
  24. Kononova A, Li L, Kamp K, Bowen M, Rikard R, Cotten S, Peng W. The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. JMIR mHealth and uHealth 2019;7(4):e9832 View
  25. Miyamoto S, Henderson S, Fazio S, Saconi B, Thiede E, Greenwood D, Young H. Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching. The Diabetes Educator 2019;45(6):586 View
  26. Flitcroft L, Chen W, Meyer D. The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study. Journal of Medical Internet Research 2020;22(6):e14977 View
  27. Cornejo Müller A, Wachtler B, Lampert T. Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):185 View
  28. Mizdrak A, Telfer K, Direito A, Cobiac L, Blakely T, Cleghorn C, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014 View
  29. Fan K, Mandel J, Agnihotri P, Tai-Seale M. Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison. JMIR mHealth and uHealth 2020;8(5):e16147 View
  30. Kim H. Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits. Journal of Korean Medical Science 2020;35(45) View
  31. 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
  32. Devine J, Chinoy E, Markwald R, Schwartz L, Hursh S. Validation of Zulu Watch against Polysomnography and Actigraphy for On-Wrist Sleep-Wake Determination and Sleep-Depth Estimation. Sensors 2020;21(1):76 View
  33. Peng W, Li L, Kononova A, Cotten S, Kamp K, Bowen M. Habit Formation in Wearable Activity Tracker Use Among Older Adults: Qualitative Study. JMIR mHealth and uHealth 2021;9(1):e22488 View
  34. Lansing J, Ellingson L, DeShaw K, Cruz-Maldonado G, Hurt T, Meyer J. A qualitative analysis of barriers and facilitators to reducing sedentary time in adults with chronic low back pain. BMC Public Health 2021;21(1) View
  35. Hardcastle S, Jiménez-Castuera R, Maxwell-Smith C, Bulsara M, Hince D, Bergman P. Fitbit wear-time and patterns of activity in cancer survivors throughout a physical activity intervention and follow-up: Exploratory analysis from a randomised controlled trial. PLOS ONE 2020;15(10):e0240967 View
  36. Kelly R, Jones S, Price B, Katz D, McCormick C, Pearce O. Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria. JMIR mHealth and uHealth 2021;9(1):e22846 View
  37. van der Velde M, Valkenet K, Geleijn E, Kruisselbrink M, Marsman M, Janssen L, Ruurda J, van der Peet D, Aarden J, Veenhof C, van der Leeden M. Usability and Preliminary Effectiveness of a Preoperative mHealth App for People Undergoing Major Surgery: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(1):e23402 View
  38. Rubin D, Rich Severin , Arena R, Bond S. Leveraging technology to move more and sit less. Progress in Cardiovascular Diseases 2021;64:55 View
  39. Elbers S, van Gessel C, Renes R, van der Lugt R, Wittink H, Hermsen S. Innovation in Pain Rehabilitation Using Co-Design Methods During the Development of a Relapse Prevention Intervention: Case Study. Journal of Medical Internet Research 2021;23(1):e18462 View
  40. Rayward A, Vandelanotte C, Van Itallie A, Duncan M. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. Journal of Medical Internet Research 2021;23(6):e22151 View
  41. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180 View
  42. Rowley N, Steele J, Mann S, Jimenez A, Horton E. Delivery Approaches Within Exercise Referral Schemes: A Survey of Current Practice in England. Journal of Physical Activity and Health 2021;18(4):357 View
  43. Nezami B, Valle C, Nulty A, Espeland M, Wing R, Tate D. Predictors and Outcomes of Digital Weighing and Activity Tracking Lapses Among Young Adults During Weight Gain Prevention. Obesity 2021;29(4):698 View
  44. Östlind E, Sant’Anna A, Eek F, Stigmar K, Ekvall Hansson E. Physical activity patterns, adherence to using a wearable activity tracker during a 12-week period and correlation between self-reported function and physical activity in working age individuals with hip and/or knee osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1) View
  45. Jevsevar D, Molloy I, Gitajn I, Werth P. Orthopaedic Surgeon Physiological Indicators of Strain as Measured by a Wearable Fitness Device. Journal of the American Academy of Orthopaedic Surgeons 2021;Publish Ahead of Print View
  46. Orstad S, Gerchow L, Patel N, Reddy M, Hernandez C, Wilson D, Jay M. Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants’ Barriers to Wear and First 100 Days of Physical Activity. Informatics 2021;8(2):39 View
  47. Lee J, Turchioe M, Creber R, Biviano A, Hickey K, Bakken S. Phenotypes of engagement with mobile health technology for heart rhythm monitoring. JAMIA Open 2021;4(2) View
  48. Ocagli H, Lorenzoni G, Lanera C, Schiavo A, D’Angelo L, Liberti A, Besola L, Cibin G, Martinato M, Azzolina D, D’Onofrio A, Tarantini G, Gerosa G, Cabianca E, Gregori D. Monitoring Patients Reported Outcomes after Valve Replacement Using Wearable Devices: Insights on Feasibility and Capability Study: Feasibility Results. International Journal of Environmental Research and Public Health 2021;18(13):7171 View
  49. König L, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework (Preprint). JMIR mHealth and uHealth 2020 View
  50. Hancı E, Ruijten P, Lacroix J, IJsselsteijn W. The Impact of Mindset on Self-Tracking Experience. Frontiers in Digital Health 2021;3 View
  51. Lee M, Kang D, Kim S, Lim J, Yoon J, Kim Y, Shim S, Kang E, Ahn J, Cho J, Shin S, Oh D. Who is more likely to adopt and comply with the electronic patient-reported outcome measure (ePROM) mobile application? A real-world study with cancer patients undergoing active treatment. Supportive Care in Cancer 2021 View

Books/Policy Documents

  1. Lidynia C, Brauner P, Burbach L, Ziefle M. Advances in Usability, User Experience, Wearable and Assistive Technology. View
  2. Marschollek M, Wolf K. Zusammenwirken von natürlicher und künstlicher Intelligenz. View
  3. Fietkiewicz K, Ilhan A. Human-Computer Interaction. Interaction Techniques and Novel Applications. View