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

Innovations and Technology for Physical Activity Education (753) mHealth for Wellness, Behavior Change and Prevention (2911) Fitness Trackers and Smart Pedometers/Accelerometers (568) Behavior Change (718)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26063, first published .
Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study

Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study

Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study

Authors of this article:

Yanxiang Yang1 Author Orcid Image ;   Joerg Koenigstorfer1 Author Orcid Image
Article Authors Cited by (27) Tweetations (6) Metrics

Journals

  1. Pape M, Färber T, Seiferth C, Roth T, Schroeder S, Wolstein J, Herpertz S, Steins-Loeber S. A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation. JMIR Formative Research 2022;6(10):e38480 View
  2. Walle A, Jemere A, Tilahun B, Endehabtu B, Wubante S, Melaku M, Tegegne M, Gashu K. Intention to use wearable health devices and its predictors among diabetes mellitus patients in Amhara region referral hospitals, Ethiopia: Using modified UTAUT-2 model. Informatics in Medicine Unlocked 2023;36:101157 View
  3. Fleddermann K, Molfenter T, Vjorn O, Horst J, Hulsey J, Kelly B, Zawislak K, Gustafson D, Gicquelais R. Patient Preferences for Mobile Health Applications to Support Recovery. Journal of Addiction Medicine 2023;17(4):394 View
  4. Balakrishnan P, Owen E, Eberl M, Friedrich B, Etter T. A retrospective real-world observational pilot analysis of Waya: a self-monitoring fitness app in Germany. Cardiovascular Endocrinology & Metabolism 2022;11(3) View
  5. Li Z, Du N, Wang B, Oteng-Darko C. Impact of social influence on users' continuance intention toward sports and fitness applications. Frontiers in Public Health 2022;10 View
  6. Guo J, Chupradit S. Influencing Factors of College Students’ Use of Sports Apps in Mandatory Situations: Based on UTAUT and SDT. BioMed Research International 2022;2022:1 View
  7. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  8. Bo Y, Liu Q, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681 View
  9. Angosto S, García-Fernández J, Grimaldi-Puyana M. A systematic review of intention to use fitness apps (2020–2023). Humanities and Social Sciences Communications 2023;10(1) View
  10. Dunn R, Tamminen K, Kim J, Vanderloo L. Promotion of physical activity among people who identify as women through the ParticipACTION mobile app. Psychology & Health 2023:1 View
  11. Pedersen K, Schlichter B. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205 View
  12. Liu K, Tan W, Saari E. Effects of pervasive game on behavioral intention towards fitness among older adults in Henan: An empirical study. Educational Gerontology 2024;50(3):187 View
  13. Bernstein E, Wolfe E, Huguenel B, Wilhelm S. Lessons and Untapped Potential of Smartphone-Based Physical Activity Interventions for Mental Health: Narrative Review. JMIR mHealth and uHealth 2024;12:e45860 View
  14. Southcott E, Jooste J. Unveiling the Impact of Mobile Fitness Applications on Motivational Orientation in Sustaining Exercise Behaviors: A Qualitative Investigation. Physical Culture and Sport. Studies and Research 2024;103(1):1 View
  15. Demsash A, Kalayou M, Walle A. Health professionals’ acceptance of mobile-based clinical guideline application in a resource-limited setting: using a modified UTAUT model. BMC Medical Education 2024;24(1) View
  16. Gabarron E, Larbi D, Rivera-Romero O, Denecke K. Human Factors in AI-Driven Digital Solutions for Increasing Physical Activity: Scoping Review. JMIR Human Factors 2024;11:e55964 View
  17. Coppens I, De Pessemier T, Martens L. Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial. User Modeling and User-Adapted Interaction 2024;34(5):1835 View
  18. Song L, Li B, Wu H, Wu C, Zhang X, Yu Z. Understanding the factors of wearable devices among the patients with thyroid cancer: A modified UTAUT2 model. PLOS ONE 2024;19(7):e0305944 View
  19. Bellary S, Bala P, Chakraborty S. Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN. Journal of Retailing and Consumer Services 2024;81:104045 View
  20. Abebe S, Endehabtu B, Walle A, Hailu D, Yeshaneh A, Dres E, Yimmam M, Gashu K. Intention to use personal health record system and its predictors among chronic patients enrolled at public hospitals in Bahir Dar city, northwest Ethiopia: using modified UTAUT2 model. Frontiers in Medicine 2024;11 View
  21. Alhur M, Caamaño-Alegre J, Reyes-Santias F. A public value-based model to understand patients’ adoption of eHealth: Theoretical underpinnings and empirical application. DIGITAL HEALTH 2024;10 View
  22. Li J, Wang L, Xia F, Shao Y, Ma X. Can the sports apps using play an intervening role in the process of college students’ exercise motivation affecting mental health by exercise adherence?. Medicine 2024;103(41):e40062 View
  23. Mehrab Ashrafi D, Mone F, Zabeen M, Sarker M, Shahid T. What Drives Users to Recommend Mobile Fitness Apps? A Three-Stage Analysis Using PLS-SEM, Machine Learning, and fsQCA. International Journal of Human–Computer Interaction 2024:1 View

Books/Policy Documents

  1. Boiko A, Asadov A, Gaiduk M, Seepold R, Madrid N. Social Innovation in Long-Term Care Through Digitalization. View
  2. Hayotte M, d'Arripe-Longueville F. Psychologie du Sport et de L'activité Physique. View
  3. Xu P, Zhu B, Saenghiran T. Human-Centered Design, Operation and Evaluation of Mobile Communications. View