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

Quantified Self and Wellness (68) mHealth for Wellness, Behavior Change and Prevention (2729) Behavior Change (652) Fitness Trackers and Smart Pedometers/Accelerometers (539)

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

Authors of this article:

Mitch Duncan1 Author Orcid Image ;   Beatrice Murawski1 Author Orcid Image ;   Camille E Short2 Author Orcid Image ;   Amanda L Rebar3 Author Orcid Image ;   Stephanie Schoeppe3 Author Orcid Image ;   Stephanie Alley3 Author Orcid Image ;   Corneel Vandelanotte3 Author Orcid Image ;   Morwenna Kirwan4 Author Orcid Image
Article Authors Cited by (42) Tweetations (36) Metrics

Journals

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  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
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  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
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  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
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