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

Wearables and MHealth Reviews (273) Innovations and Technology for Physical Activity Education (742) mHealth for Wellness, Behavior Change and Prevention (2872)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16282, first published .
Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies

Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies

Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies

Authors of this article:

Karlijn Sporrel1 Author Orcid Image ;   Nicky Nibbeling2 Author Orcid Image ;   Shihan Wang3, 4 Author Orcid Image ;   Dick Ettema1 Author Orcid Image ;   Monique Simons5 Author Orcid Image
Article Authors Cited by (32) Tweetations (36) Metrics

Journals

  1. Sporrel K, De Boer R, Wang S, Nibbeling N, Simons M, Deutekom M, Ettema D, Castro P, Dourado V, Kröse B. The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining. Frontiers in Public Health 2021;8 View
  2. Ash G, Griggs S, Nally L, Stults-Kolehmainen M, Jeon S, Brandt C, Gulanski B, Spanakis E, Baker J, Whittemore R, Weinzimer S, Fucito L. Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study. JMIR Diabetes 2021;6(3):e28309 View
  3. Nibbeling N, Simons M, Sporrel K, Deutekom M. A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App. Frontiers in Public Health 2021;9 View
  4. Lucassen D, Lasschuijt M, Camps G, Van Loo E, Fischer A, de Vries R, Haarman J, Simons M, de Vet E, Bos-de Vos M, Pan S, Ren X, de Graaf K, Lu Y, Feskens E, Brouwer-Brolsma E. Short and Long-Term Innovations on Dietary Behavior Assessment and Coaching: Present Efforts and Vision of the Pride and Prejudice Consortium. International Journal of Environmental Research and Public Health 2021;18(15):7877 View
  5. Nuijten R, Van Gorp P. SciModeler: A Toolbox for Consolidating Scientific Knowledge within the Field of Health Behavior Change. SN Computer Science 2022;4(1) View
  6. Wilde L, Sewell L, Percy C, Ward G, Clark C. What Are the Experiences of People with COPD Using Activity Monitors?: A Qualitative Scoping Review. COPD: Journal of Chronic Obstructive Pulmonary Disease 2022;19(1):88 View
  7. Asbjørnsen R, Hjelmesæth J, Smedsrød M, Wentzel J, Ollivier M, Clark M, van Gemert-Pijnen J, Solberg Nes L. Combining Persuasive System Design Principles and Behavior Change Techniques in Digital Interventions Supporting Long-term Weight Loss Maintenance: Design and Development of eCHANGE. JMIR Human Factors 2022;9(2):e37372 View
  8. Sporrel K, Wang S, Ettema D, Nibbeling N, Krose B, Deutekom M, de Boer R, Simons M. Just-in-Time Prompts for Running, Walking, and Performing Strength Exercises in the Built Environment: 4-Week Randomized Feasibility Study. JMIR Formative Research 2022;6(8):e35268 View
  9. Oyebode O, Orji R. Persuasive strategy implementation choices and their effectiveness: towards personalised persuasive systems. Behaviour & Information Technology 2023;42(13):2176 View
  10. Nuijten R, Van Gorp P, Khanshan A, Le Blanc P, van den Berg P, Kemperman A, Simons M. Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(3):e28801 View
  11. De Santis K, Jahnel T, Matthias K, Mergenthal L, Al Khayyal H, Zeeb H. Evaluation of Digital Interventions for Physical Activity Promotion: Scoping Review. JMIR Public Health and Surveillance 2022;8(5):e37820 View
  12. Liefooghe B, van Maanen L. Three levels at which the user's cognition can be represented in artificial intelligence. Frontiers in Artificial Intelligence 2023;5 View
  13. De Santis K, Jahnel T, Sina E, Wienert J, Zeeb H. Digitization and Health in Germany: Cross-sectional Nationwide Survey. JMIR Public Health and Surveillance 2021;7(11):e32951 View
  14. Kim M, Kim Y, Choi M. Mobile health platform based on user-centered design to promote exercise for patients with peripheral artery disease. BMC Medical Informatics and Decision Making 2022;22(1) View
  15. De Santis K, Jahnel T, Mergenthal L, Zeeb H, Matthias K. Evaluation of Digital Interventions for Physical Activity Promotion: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(3):e35332 View
  16. Schwarz A, Winkens L, de Vet E, Ossendrijver D, Bouwsema K, Simons M. Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies. JMIR mHealth and uHealth 2023;11:e40898 View
  17. De Santis K, Matthias K. Different Approaches to Appraising Systematic Reviews of Digital Interventions for Physical Activity Promotion Using AMSTAR 2 Tool: Cross-Sectional Study. International Journal of Environmental Research and Public Health 2023;20(6):4689 View
  18. Bonn S, Alexandrou C, Trolle Lagerros Y. A Digital Platform and Smartphone App to Increase Physical Activity in Patients With Type 2 Diabetes: Overview Of a Technical Solution. JMIR Formative Research 2023;7:e40285 View
  19. Shibuta T, Waki K, Miyake K, Igarashi A, Yamamoto-Mitani N, Sankoda A, Takeuchi Y, Sumitani M, Yamauchi T, Nangaku M, Ohe K. Preliminary Efficacy, Feasibility, and Perceived Usefulness of a Smartphone-Based Self-Management System With Personalized Goal Setting and Feedback to Increase Step Count Among Workers With High Blood Pressure: Before-and-After Study. JMIR Cardio 2023;7:e43940 View
  20. Kaneoka A, Ogino A, Inokuchi H, Shichiri T, Matsuzaki A, Sato T, Goto T, Yamauchi A, Saito Y, Ueha R. Use of a Patient Booklet to Enhance Adherence to Prophylactic Exercises by Patients Undergoing Chemoradiation Therapy for Head and Neck Cancer. The Japan Journal of Logopedics and Phoniatrics 2023;64(2):85 View
  21. Silva J, Hipólito N, Machado P, Flora S, Cruz J. Technological features of smartphone apps for physical activity promotion in patients with COPD: A systematic review. Pulmonology 2023 View
  22. Shabani Shayeh M, Tajafari M, Sanatjoo A. Toward a persuasive academic library website. Journal of Librarianship and Information Science 2024;56(4):1040 View
  23. Proença N, Do Socorro Morais Pereira Simões M, De Barros Gonze B, Da Costa Padovani R, Zuniga Dourado V. UTILIZAÇÃO DE UM APLICATIVO PARA SMARTPHONE PARA AUMENTAR O NÍVEL DE ATIVIDADE FÍSICA DE ADULTOS E IDOSOS: UM ESTUDO COM GRUPO FOCAL. Revista Enfermagem Atual In Derme 2023;97(4):e023220 View
  24. Manskow U, Sagelv E, Antypas K, Zanaboni P. Adoption, acceptability and sustained use of digital interventions to promote physical activity among inactive adults: a mixed-method study. Frontiers in Public Health 2024;11 View
  25. Bonn S, Hummel M, Peveri G, Eke H, Alexandrou C, Bellocco R, Löf M, Trolle Lagerros Y. Effectiveness of a Smartphone App to Promote Physical Activity Among Persons With Type 2 Diabetes: Randomized Controlled Trial. Interactive Journal of Medical Research 2024;13:e53054 View
  26. 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 View
  27. Dawson J, Ede A, Phan M, Sequeira A, Teng H, Donlin A. Feasibility and Acceptability of a Mobile Health Exercise Intervention for Inactive Adults: 3-Arm Randomized Controlled Pilot Trial. JMIR Formative Research 2024;8:e52428 View
  28. Almohanna A, Meedya S, Vlahu-Gjorgievska E, Win K. Exploring User Experiences with a Persuasive mHealth App for Breastfeeding: An Empirical Investigation. International Journal of Human–Computer Interaction 2024:1 View
  29. Brons A, Wang S, Visser B, Kröse B, Bakkes S, Veltkamp R. Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview. Journal of Medical Internet Research 2024;26:e47774 View

Books/Policy Documents

  1. Oyebode O, Alqahtani F, Orji R. Persuasive Technology. View
  2. Hyypiö H, Giri S, Oinas-Kukkonen H. Persuasive Technology. View