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

mHealth for Wellness, Behavior Change and Prevention (2871) Adoption and Change Management of eHealth Systems (712) Quantified Self and Wellness (77) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 6, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10270, first published .
mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model

mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model

mHealth Self-Report Monitoring in Competitive Middle- and Long-Distance Runners: Qualitative Study of Long-Term Use Intentions Using the Technology Acceptance Model

Authors of this article:

Sara Rönnby1 Author Orcid Image ;   Oscar Lundberg1 Author Orcid Image ;   Kristina Fagher1, 2 Author Orcid Image ;   Jenny Jacobsson1 Author Orcid Image ;   Bo Tillander1 Author Orcid Image ;   Håkan Gauffin1 Author Orcid Image ;   Per-Olof Hansson1, 3 Author Orcid Image ;   Örjan Dahlström1, 3 Author Orcid Image ;   Toomas Timpka1 Author Orcid Image
Article Authors Cited by (15) Tweetations (9) Metrics

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  5. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271 View
  6. Turner J, Rebmann T, Loux T, Tao D, Garza A. First Responders’ and Librarians’ Intention to Use Web-Based Resources for Response Information During Biological, Chemical, and Radiological Terrorism Events. Journal of Homeland Security and Emergency Management 2020;17(3) View
  7. Alshehri F, Alshaikh F. Exploring the Constituent Elements of a Successful Mobile Health Intervention for Prediabetic Patients in King Saud University Medical City Hospitals in Saudi Arabia: Cross-sectional Study. JMIR Formative Research 2021;5(7):e22968 View
  8. Cook-Chennault K, Villanueva Alarcón I, Jacob G. Usefulness of Digital Serious Games in Engineering for Diverse Undergraduate Students. Education Sciences 2022;12(1):27 View
  9. Mascret N, Montagne G, Devrièse-Sence A, Vu A, Kulpa R. Acceptance by athletes of a virtual reality head-mounted display intended to enhance sport performance. Psychology of Sport and Exercise 2022;61:102201 View
  10. Corneli A, Perry B, Des Marais A, Choi Y, Chen H, Lilly R, Ayers D, Bennett J, Kestner L, Meade C, Sachdeva N, McKellar M. Participant perceptions on the acceptability and feasibility of a telemedicine-based HIV PrEP and buprenorphine/naloxone program embedded within syringe services programs: a qualitative descriptive evaluation. Harm Reduction Journal 2022;19(1) View
  11. Schretzlmaier P, Hecker A, Ammenwerth E. Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study. JMIR Human Factors 2022;9(1):e34918 View
  12. Meinke A, Spörri J, Brogli L, Schwab P, Karlen W. Addressing the unresolved challenge of quantifying skiing exposure—A proof of concept using smartphone sensors. Frontiers in Sports and Active Living 2023;5 View

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