Published on in Vol 6, No 2 (2017): Jul-Dec

Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors

Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors

Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors

Journals

  1. Düking P, Tafler M, Wallmann-Sperlich B, Sperlich B, Kleih S. Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis. JMIR mHealth and uHealth 2020;8(11):e20820 View
  2. Chia G, Anderson A, McLean L. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768 View
  3. 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
  4. DeSmet A, De Bourdeaudhuij I, Chastin S, Crombez G, Maddison R, Cardon G. Adults’ Preferences for Behavior Change Techniques and Engagement Features in a Mobile App to Promote 24-Hour Movement Behaviors: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2019;7(12):e15707 View
  5. Dijkhuis T, Blaauw F, Van Ittersum M, Velthuijsen H, Aiello M. Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors 2018;18(2):623 View
  6. Murawski B, Plotnikoff R, Rayward A, Vandelanotte C, Brown W, Duncan M. Randomised controlled trial using a theory-based m-health intervention to improve physical activity and sleep health in adults: the Synergy Study protocol. BMJ Open 2018;8(2):e018997 View
  7. Murawski B, Plotnikoff R, Rayward A, Oldmeadow C, Vandelanotte C, Brown W, Duncan M. Efficacy of an m-Health Physical Activity and Sleep Health Intervention for Adults: A Randomized Waitlist-Controlled Trial. American Journal of Preventive Medicine 2019;57(4):503 View
  8. Cauchard J, Frey J, Zahrt O, Johnson K, Crum A, Landay J. The Positive Impact of Push vs Pull Progress Feedback. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(3):1 View
  9. Henriksen A, Haugen Mikalsen M, Woldaregay A, Muzny M, Hartvigsen G, Hopstock L, Grimsgaard S. Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables. Journal of Medical Internet Research 2018;20(3):e110 View
  10. Mackintosh K, Chappel S, Salmon J, Timperio A, Ball K, Brown H, Macfarlane S, Ridgers N. Parental Perspectives of a Wearable Activity Tracker for Children Younger Than 13 Years: Acceptability and Usability Study. JMIR mHealth and uHealth 2019;7(11):e13858 View
  11. Perez-Pozuelo I, Zhai B, Palotti J, Mall R, Aupetit M, Garcia-Gomez J, Taheri S, Guan Y, Fernandez-Luque L. The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digital Medicine 2020;3(1) View
  12. Redeker N. Sensor technology for nursing research. Nursing Outlook 2020;68(6):711 View
  13. Ryan J, Edney S, Maher C. Anxious or empowered? A cross-sectional study exploring how wearable activity trackers make their owners feel. BMC Psychology 2019;7(1) View
  14. Moor C, Gür-Demirel Y, Wijsenbeek M. Feasibility of a Comprehensive Home Monitoring Program for Sarcoidosis. Journal of Personalized Medicine 2019;9(2):23 View
  15. Tong H, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1) View
  16. Murawski B, Wade L, Plotnikoff R, Lubans D, Duncan M. A systematic review and meta-analysis of cognitive and behavioral interventions to improve sleep health in adults without sleep disorders. Sleep Medicine Reviews 2018;40:160 View
  17. Liang Z, Chapa-Martell M. Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors. JMIR mHealth and uHealth 2019;7(6):e13384 View
  18. Kim Y, Lochbaum M. Comparison of Polar Active Watch and Waist- and Wrist-Worn ActiGraph Accelerometers for Measuring Children’s Physical Activity Levels during Unstructured Afterschool Programs. International Journal of Environmental Research and Public Health 2018;15(10):2268 View
  19. Abouzahra M, Ghasemaghaei M. Effective use of information technologies by seniors: the case of wearable device use. European Journal of Information Systems 2022;31(2):241 View
  20. Lewis Z, Cannon M, Rubio G, Swartz M, Lyons E. Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors. Technologies 2020;8(4):75 View
  21. Soprovich A, Bottorff J, Wozniak L, Oliffe J, Seaton C, Duncan M, Caperchione C, Ellehoj E, Johnson S. Sleep Health in Male-dominated Workplaces: A Qualitative Study Examining the Perspectives of Male Employees. Behavioral Sleep Medicine 2022;20(2):224 View
  22. Ridgers N, Timperio A, Ball K, Lai S, Brown H, Macfarlane S, Salmon J. Effect of commercial wearables and digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas: the RAW-PA cluster-randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  23. Blair C, Harding E, Wiggins C, Kang H, Schwartz M, Tarnower A, Du R, Kinney A. A Home-Based Mobile Health Intervention to Replace Sedentary Time With Light Physical Activity in Older Cancer Survivors: Randomized Controlled Pilot Trial. JMIR Cancer 2021;7(2):e18819 View
  24. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  25. Chatterjee A, Pahari N, Prinz A, Riegler M. Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Scientific Reports 2022;12(1) View
  26. Creaser A, Hall J, Costa S, Bingham D, Clemes S. Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study. International Journal of Environmental Research and Public Health 2022;19(6):3472 View
  27. Arroyo A, Zawadzki M. The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review. JMIR mHealth and uHealth 2022;10(4):e33527 View
  28. Burford K, Golaszewski N, Bartholomew J. “I shy away from them because they are very identifiable”: A qualitative study exploring user and non-user's perceptions of wearable activity trackers. DIGITAL HEALTH 2021;7 View
  29. Khowaja K, Syed W, Singh M, Taheri S, Chagoury O, Al-Thani D, Aupetit M. A Participatory Design Approach to Develop Visualization of Wearable Actigraphy Data for Health Care Professionals: Case Study in Qatar. JMIR Human Factors 2022;9(2):e25880 View
  30. Budig M, Stoohs R, Keiner M. Validity of Two Consumer Multisport Activity Tracker and One Accelerometer against Polysomnography for Measuring Sleep Parameters and Vital Data in a Laboratory Setting in Sleep Patients. Sensors 2022;22(23):9540 View
  31. Creaser A, Bingham D, Bennett H, Costa S, Clemes S. The development of a family-based wearable intervention using behaviour change and co-design approaches: move and connect. Public Health 2023;217:54 View
  32. Boudreaux B, Schenck J, Chu Z, Schmidt M. Effectiveness of Fitbit Activity Prompts in Reducing Sitting Time and Increasing Physical Activity in University Employees: A Randomized Controlled Trial. Journal for the Measurement of Physical Behaviour 2022;5(3):178 View
  33. Jayasinghe S, Hills A. Strategies to Improve Physical Activity and Nutrition Behaviours in Children and Adolescents: A Review. Nutrients 2023;15(15):3370 View
  34. Chatterjee A, Pahari N, Prinz A, Riegler M. AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. BMC Medical Informatics and Decision Making 2023;23(1) View
  35. Szeto K, Arnold J, Maher C. The Wearable Activity Tracker Checklist for Healthcare (WATCH): a 12-point guide for the implementation of wearable activity trackers in healthcare. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  36. Del-Valle-Soto C, López-Pimentel J, Vázquez-Castillo J, Nolazco-Flores J, Velázquez R, Varela-Aldás J, Visconti P. A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being. Sensors 2024;24(8):2429 View
  37. Horvath L, Burns R, Brusseau T, Bai Y, Lucero J, King Jensen J. Goal Setting Moderates Behavior Change Outcomes in College Students After an Online Health Coaching Intervention. American Journal of Health Education 2024;55(6):383 View
  38. Szeto K, Arnold J, Horsfall E, Sarro M, Hewitt A, Maher C. Establishing a Consensus-Based Framework for the Use of Wearable Activity Trackers in Health Care: Delphi Study. JMIR mHealth and uHealth 2024;12:e55254 View
  39. Suresh Kumar S, Connolly P, Maier A. Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review. Journal of Medical Internet Research 2024;26:e54405 View
  40. Kwon S, Bai Y, Kim Y, Burns R, Brusseau T, Byun W. Convergent Validity of Garmin Vivofit Jr. 3 and Fitbit Ace 3 for Monitoring Daily Physical Activity of Children. Measurement in Physical Education and Exercise Science 2024:1 View

Books/Policy Documents

  1. Cattivelli R, Guerrini Usubini A, Mirto A, Pietrantonio C, Cau N, Galli M, Granese V, Varallo G, Pietrabissa G, Manzoni G, Molinari E, Castelnuovo G. Rehabilitation interventions in the patient with obesity. View
  2. Ridgers N, Drehlich M. Digital Health. View
  3. Vinogradov M, Chang M, Lin F, Yan Y. ICT for Health, Accessibility and Wellbeing. View
  4. Lewis Z, Christopherson U. The Cambridge Handbook of Cyber Behavior. View
  5. Yukang X, Lin Z. The Cambridge Handbook of Cyber Behavior. View