Published on in Vol 6, No 3 (2018): March

Preprints (earlier versions) of this paper are available at, first published .
Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Authors of this article:

Claire McCallum 1 Author Orcid Image ;   John Rooksby 2 Author Orcid Image ;   Cindy M Gray 1 Author Orcid Image


  1. Düking P, Stammel C, Sperlich B, Sutehall S, Muniz-Pardos B, Lima G, Kilduff L, Keramitsoglou I, Li G, Pigozzi F, Pitsiladis Y. Necessary Steps to Accelerate the Integration of Wearable Sensors Into Recreation and Competitive Sports. Current Sports Medicine Reports 2018;17(6):178 View
  2. Clark M, Driller M. University Student’s Perceptions of Self-Tracking Devices, Data Privacy, and Sharing Digital Data for Research Purposes. Journal for the Measurement of Physical Behaviour 2020;3(2):128 View
  3. Korpershoek Y, Hermsen S, Schoonhoven L, Schuurmans M, Trappenburg J. User-Centered Design of a Mobile Health Intervention to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease (Copilot): Mixed Methods Study. Journal of Medical Internet Research 2020;22(6):e15449 View
  4. 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
  5. Brower J, LaBarge M, White L, Mitchell M. Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(8):e16797 View
  6. Liang J, Xian D, Liu X, Fu J, Zhang X, Tang B, Lei J. Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation. JMIR mHealth and uHealth 2018;6(11):e11066 View
  7. Müller A, Wang N, Yao J, Tan C, Low I, Lim N, Tan J, Tan A, Müller-Riemenschneider F. Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study. JMIR mHealth and uHealth 2019;7(10):e14120 View
  8. Shcherbina A, Hershman S, Lazzeroni L, King A, O'Sullivan J, Hekler E, Moayedi Y, Pavlovic A, Waggott D, Sharma A, Yeung A, Christle J, Wheeler M, McConnell M, Harrington R, Ashley E. The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study. The Lancet Digital Health 2019;1(7):e344 View
  9. Materia F, Faasse K, Smyth J. Understanding and Preventing Health Concerns About Emerging Mobile Health Technologies. JMIR mHealth and uHealth 2020;8(5):e14375 View
  10. Dickman Portz J, Ford K, Bekelman D, Boxer R, Kutner J, Czaja S, Elsbernd K, Bull S. “We're Taking Something So Human and Trying to Digitize”: Provider Recommendations for mHealth in Palliative Care. Journal of Palliative Medicine 2020;23(2):240 View
  11. Dobkin B, Martinez C. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice. Current Neurology and Neuroscience Reports 2018;18(12) View
  12. Silarova B, Nelis S, Ashworth R, Ballard C, Bieńkiewicz M, Henderson C, Hillman A, Hindle J, Hughes J, Lamont R, Litherland R, Jones I, Jones R, Knapp M, Kotting P, Martyr A, Matthews F, Morris R, Quinn C, Regan J, Rusted J, van den Heuvel E, Victor C, Wu Y, Clare L. Protocol for the IDEAL-2 longitudinal study: following the experiences of people with dementia and their primary carers to understand what contributes to living well with dementia and enhances active life. BMC Public Health 2018;18(1) View
  13. Hawkins J, Charles J, Edwards M, Hallingberg B, McConnon L, Edwards R, Jago R, Kelson M, Morgan K, Murphy S, Oliver E, Simpson S, Moore G. Acceptability and Feasibility of Implementing Accelorometry-Based Activity Monitors and a Linked Web Portal in an Exercise Referral Scheme: Feasibility Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(3):e12374 View
  14. Perez-Aranda J, González Robles E, Urbistondo P. Sport-related physical activity in tourism: an analysis of antecedents of sport based applications use. Information Technology & Tourism 2021;23(1):97 View
  15. Buckingham S, Williams A, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5:205520761983988 View
  16. Billmann M, Böhm M, Krcmar H. Use of workplace health promotion apps: Analysis of employee log data. Health Policy and Technology 2020;9(3):285 View
  17. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  18. Bidargaddi N, Pituch T, Maaieh H, Short C, Strecher V. Predicting which type of push notification content motivates users to engage in a self-monitoring app. Preventive Medicine Reports 2018;11:267 View
  19. Ng K, Badura P, Dzielska A, Kokko S, Woods C, Hamrik Z. Test-retest reliability of survey items on ownership and use of physical activity trackers. Acta Gymnica 2019;49(2):67 View
  20. Yamamoto K, Ebara T, Matsuda F, Matsukawa T, Yamamoto N, Ishii K, Kurihara T, Yamada S, Matsuki T, Tani N, Kamijima M. Can self‐monitoring mobile health apps reduce sedentary behavior? A randomized controlled trial. Journal of Occupational Health 2020;62(1) View
  21. Marin-Gomez F, Garcia Cuyas F, Reig-Bolano R, Mendioroz J, Roura-Poch P, Pico-Nicolau M, Vidal-Alaball J. Social Networking App Use Among Primary Health Care Professionals: Web-Based Cross-Sectional Survey. JMIR mHealth and uHealth 2018;6(12):e11147 View
  22. Chia G, Anderson A, McLean L. Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis. JMIR mHealth and uHealth 2019;7(7):e12768 View
  23. Liao J, Xiao H, Li X, Sun S, Liu S, Yang Y, Xu D. A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14969 View
  24. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
  25. 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
  26. Nadal C, Earley C, Enrique A, Vigano N, Sas C, Richards D, Doherty G. Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance. Contemporary Clinical Trials 2021;103:106323 View
  27. 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
  28. Hendker A, Jetzke M, Eils E, Voelcker-Rehage C. The Implication of Wearables and the Factors Affecting Their Usage among Recreationally Active People. International Journal of Environmental Research and Public Health 2020;17(22):8532 View
  29. Alizadeh A, Negarandeh R, Bagheri Amiri F, Yazdani Z. The study of Iranian children and adolescents’ physical activity: a systematic review and meta-analysis. International Journal of Adolescent Medicine and Health 2021;33(3):65 View
  30. Ometov A, Shubina V, Klus L, Skibińska J, Saafi S, Pascacio P, Flueratoru L, Gaibor D, Chukhno N, Chukhno O, Ali A, Channa A, Svertoka E, Qaim W, Casanova-Marqués R, Holcer S, Torres-Sospedra J, Casteleyn S, Ruggeri G, Araniti G, Burget R, Hosek J, Lohan E. A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Computer Networks 2021;193:108074 View
  31. 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
  32. 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
  33. Dong Y, Wang K, Zhu S, Li W, Yang P. Design and Development of an Intelligent Skipping Rope and Service System for Pupils. Healthcare 2021;9(8):954 View
  34. Chandrasekaran B, Rao C, Davis F, Arumugam A. SMART STEP – SMARTphone-driven exercise and pedometer-based STEP intervention to promote physical activity among desk-based employees: Study protocol for a three-arm cluster randomized controlled trial. Work 2021:1 View

Books/Policy Documents

  1. Arshad R, Baig M, Tariq M, Shahid S. Human-Computer Interaction – INTERACT 2019. View
  2. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  3. John M, Kleppisch M. Prävention und Gesundheitsförderung. View