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Citing this Article

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Published on 14.08.17 in Vol 6, No 2 (2017): Jul-Dec

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

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

Mitch Duncan, Beatrice Murawski, Camille E Short, Amanda L Rebar, Stephanie Schoeppe, Stephanie Alley, Corneel Vandelanotte, Morwenna Kirwan

Interact J Med Res 2017 (Aug 14); 6(2):e13 

According to Crossref, the following articles are citing this article (DOI 10.2196/ijmr.6685):

(note that this is only a small subset of citations)

  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
    CrossRef
  2. Chia GLC, Anderson A, McLean LA. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768
    CrossRef
  3. Ridgers ND, Timperio A, Brown H, Ball K, Macfarlane S, Lai SK, Richards K, Mackintosh KA, McNarry MA, Foster M, Salmon J. Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study. JMIR mHealth and uHealth 2018;6(4):e86
    CrossRef
  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
    CrossRef
  5. Dijkhuis TB, Blaauw FJ, van Ittersum MW, Velthuijsen H, Aiello M. Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors 2018;18(2):623
    CrossRef
  6. Murawski B, Plotnikoff RC, Rayward AT, Vandelanotte C, Brown WJ, Duncan MJ. 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
    CrossRef
  7. Murawski B, Plotnikoff RC, Rayward AT, Oldmeadow C, Vandelanotte C, Brown WJ, Duncan MJ. 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
    CrossRef
  8. Cauchard JR, Frey J, Zahrt O, Johnson K, Crum A, Landay JA. The Positive Impact of Push vs Pull Progress Feedback. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(3):1
    CrossRef
  9. Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, Hopstock LA, 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
    CrossRef
  10. Mackintosh KA, Chappel SE, Salmon J, Timperio A, Ball K, Brown H, Macfarlane S, Ridgers ND. 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
    CrossRef
  11. Perez-Pozuelo I, Zhai B, Palotti J, Mall R, Aupetit M, Garcia-Gomez JM, 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)
    CrossRef
  12. . Sensor technology for nursing research. Nursing Outlook 2020;68(6):711
    CrossRef
  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)
    CrossRef
  14. Moor CC, Gür-Demirel Y, Wijsenbeek MS. Feasibility of a Comprehensive Home Monitoring Program for Sarcoidosis. Journal of Personalized Medicine 2019;9(2):23
    CrossRef
  15. Tong HL, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1)
    CrossRef
  16. Murawski B, Wade L, Plotnikoff RC, Lubans DR, Duncan MJ. 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
    CrossRef
  17. Liang Z, Chapa-Martell MA. Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors. JMIR mHealth and uHealth 2019;7(6):e13384
    CrossRef
  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
    CrossRef
  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
    CrossRef
  20. Lewis ZH, Cannon M, Rubio G, Swartz MC, Lyons EJ. Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors. Technologies 2020;8(4):75
    CrossRef
  21. Soprovich AL, Bottorff JL, Wozniak LA, Oliffe JL, Seaton CL, Duncan MJ, Caperchione CM, Ellehoj ER, Johnson ST. Sleep Health in Male-dominated Workplaces: A Qualitative Study Examining the Perspectives of Male Employees. Behavioral Sleep Medicine 2022;20(2):224
    CrossRef
  22. Ridgers ND, Timperio A, Ball K, Lai SK, 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)
    CrossRef
  23. Blair CK, Harding E, Wiggins C, Kang H, Schwartz M, Tarnower A, Du R, Kinney AY. 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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  26. Creaser AV, Hall J, Costa S, Bingham DD, Clemes SA. Exploring Families’ Acceptance of Wearable Activity Trackers: A Mixed-Methods Study. International Journal of Environmental Research and Public Health 2022;19(6):3472
    CrossRef
  27. Arroyo AC, Zawadzki MJ. The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review. JMIR mHealth and uHealth 2022;10(4):e33527
    CrossRef
  28. Burford K, Golaszewski NM, 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;7:205520762110549
    CrossRef
  29. Khowaja K, Syed WW, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  32. Boudreaux BD, Schenck JA, Chu Z, Schmidt MD. 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
    CrossRef
  33. Jayasinghe S, Hills AP. Strategies to Improve Physical Activity and Nutrition Behaviours in Children and Adolescents: A Review. Nutrients 2023;15(15):3370
    CrossRef
  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)
    CrossRef
  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)
    CrossRef
  36. Del-Valle-Soto C, López-Pimentel JC, Vázquez-Castillo J, Nolazco-Flores JA, 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/ijmr.6685):

  1. Cattivelli R, Guerrini Usubini A, Mirto AM, Pietrantonio C, Cau N, Galli M, Granese V, Varallo G, Pietrabissa G, Manzoni GM, Molinari E, Castelnuovo G. Rehabilitation interventions in the patient with obesity. 2020. Chapter 14:217
    CrossRef
  2. Ridgers ND, Drehlich M. Digital Health. 2021. :305
    CrossRef
  3. Vinogradov M, Chang M, Lin F, Yan Y. ICT for Health, Accessibility and Wellbeing. 2023. Chapter 8:110
    CrossRef