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

Formative Evaluation of Digital Health Interventions (2876) Innovations and Technology for Physical Activity Education (837) mHealth for Wellness, Behavior Change and Prevention (3131)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34662, first published .
A Personalized Smartphone-Delivered Just-in-time Adaptive Intervention (JitaBug) to Increase Physical Activity in Older Adults: Mixed Methods Feasibility Study

A Personalized Smartphone-Delivered Just-in-time Adaptive Intervention (JitaBug) to Increase Physical Activity in Older Adults: Mixed Methods Feasibility Study

A Personalized Smartphone-Delivered Just-in-time Adaptive Intervention (JitaBug) to Increase Physical Activity in Older Adults: Mixed Methods Feasibility Study

Authors of this article:

Jacqueline Louise Mair1, 2 Author Orcid Image ;   Lawrence D Hayes3 Author Orcid Image ;   Amy K Campbell4 Author Orcid Image ;   Duncan S Buchan3 Author Orcid Image ;   Chris Easton3 Author Orcid Image ;   Nicholas Sculthorpe3 Author Orcid Image
Article Authors Cited by (33) Tweetations (16) Metrics

Journals

  1. Janols R, Sandlund M, Lindgren H, Pettersson B. Older adults as designers of behavior change strategies to increase physical activity—Report of a participatory design process. Frontiers in Public Health 2022;10 View
  2. de Buisonjé D, Brosig F, Breeman L, Bloom E, Reijnders T, Janssen V, Kraaijenhagen R, Kemps H, Evers A. Put your money where your feet are: The real-world effects of StepBet gamified deposit contracts for physical activity. Internet Interventions 2023;31:100610 View
  3. Park J, Norman G, Klasnja P, Rivera D, Hekler E. Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study. JMIR mHealth and uHealth 2023;11:e44296 View
  4. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500 View
  5. Sanal-Hayes N, Mclaughlin M, Hayes L, Mair J, Ormerod J, Carless D, Hilliard N, Meach R, Ingram J, Sculthorpe N. A scoping review of ‘Pacing’ for management of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): lessons learned for the long COVID pandemic. Journal of Translational Medicine 2023;21(1) View
  6. Hermassi S, Konukman F, Hayes L, Schwesig R. Physical Education and Gender Differences in Physical Activity, Sedentary Behavior Related to Academic Success of Science-Related Courses for Children in the State of Qatar. Applied Sciences 2023;13(19):10771 View
  7. Rohaj A, Bulaj G. Digital Therapeutics (DTx) Expand Multimodal Treatment Options for Chronic Low Back Pain: The Nexus of Precision Medicine, Patient Education, and Public Health. Healthcare 2023;11(10):1469 View
  8. Weizman Y, Tan A, Fuss F. The Use of Wearable Devices to Measure Sedentary Behavior during COVID-19: Systematic Review and Future Recommendations. Sensors 2023;23(23):9449 View
  9. Willms A, Liu S. Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study. JMIR Medical Education 2024;10:e51426 View
  10. Noriega de la Colina A, Morris T, Kramer A, Kaushal N, Geddes M. Your move: A precision medicine framework for physical activity in aging. npj Aging 2024;10(1) View
  11. Tsai Y, Beh J, Ganderton C, Pranata A. Digital interventions for healthy ageing and cognitive health in older adults: a systematic review of mixed method studies and meta-analysis. BMC Geriatrics 2024;24(1) View
  12. Novak J, Jurkova K, Lojkaskova A, Jaklova A, Kuhnova J, Pfeiferova M, Kral N, Janek M, Omcirk D, Malisova K, Maes I, Dyck D, Wahlich C, Ussher M, Elavsky S, Cimler R, Pelclova J, Tufano J, Steffl M, Seifert B, Yates T, Harris T, Vetrovsky T. Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). BMC Public Health 2024;24(1) View
  13. Regan C, Rosen P, Andermo S, Hagströmer M, Johansson U, Rossen J. The acceptability, usability, engagement and optimisation of a mHealth service promoting healthy lifestyle behaviours: A mixed method feasibility study. DIGITAL HEALTH 2024;10 View
  14. Abusamaan M, Ballreich J, Dobs A, Kane B, Maruthur N, McGready J, Riekert K, Wanigatunga A, Alderfer M, Alver D, Lalani B, Ringham B, Vandi F, Zade D, Mathioudakis N. Effectiveness of artificial intelligence vs. human coaching in diabetes prevention: a study protocol for a randomized controlled trial. Trials 2024;25(1) View
  15. Guan K, Adlung C, Keijsers L, Smit C, Vreeker A, Thalassinou E, van Roekel E, de Reuver M, Figueroa C. Just-in-time adaptive interventions for adolescent and young adult health and well-being: protocol for a systematic review. BMJ Open 2024;14(7):e083870 View
  16. Maes I, Carlier S, Latomme J, De Backere F, Cardon G, Van Dyck D, Collins T. Unveiling Digital Pathways to Active Aging: An Exploratory Mixed Methods Study of Older Adults’ Experiences and the Impact of Person‐Level Factors on mHealth Intervention Engagement. Health & Social Care in the Community 2024;2024(1) View
  17. Hsu T, Whelan P, Gandrup J, Armitage C, Cordingley L, McBeth J. Personalized interventions for behaviour change: A scoping review of just‐in‐time adaptive interventions. British Journal of Health Psychology 2025;30(1) View
  18. Sjöberg V, Monnier A, Tseli E, LoMartire R, Hagströmer M, Björk M, Äng B, Vixner L. Feasibility and acceptability of design and conduct of a registry-based randomised clinical trial evaluating eVIS as a digital support for physical activity in interdisciplinary pain rehabilitation programs: A randomised pilot study. DIGITAL HEALTH 2024;10 View
  19. Sanal-Hayes N, Mclaughlin M, Mair J, Ormerod J, Carless D, Meach R, Hilliard N, Ingram J, Sculthorpe N, Hayes L. ‘Pacing’ for management of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a systematic review and meta-analysis. Fatigue: Biomedicine, Health & Behavior 2025;13(1):36 View
  20. Sprint G, Schmitter-Edgecombe M, Weaver R, Wiese L, Cook D. CogProg: Utilizing Large Language Models to Forecast In-the-Moment Health Assessment. ACM Transactions on Computing for Healthcare 2025;6(2):1 View
  21. Daniels K, Vonck S, Robijns J, Quadflieg K, Bergs J, Spooren A, Hansen D, Bonnechère B. Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study. JMIR Aging 2025;8:e63348 View
  22. Hietbrink E, Middelweerd A, d’Hollosy W, Schrijver L, Laverman G, Vollenbroek-Hutten M. Exploring the Acceptance of Just-in-Time Adaptive Lifestyle Support for People With Type 2 Diabetes: Qualitative Acceptability Study. JMIR Formative Research 2025;9:e65026 View
  23. Zhou J, Salvendy G, Boot W, Charness N, Czaja S, Gao Q, Holzinger A, Ntoa S, Rau P, Rogers W, Stephanidis C, Wahl H, Ziefle M. Grand Challenges of Smart Technology for Older Adults. International Journal of Human–Computer Interaction 2025:1 View
  24. Cook D, Walker A, Minor B, Luna C, Tomaszewski Farias S, Wiese L, Weaver R, Schmitter-Edgecombe M. Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis. JMIR mHealth and uHealth 2025;13:e57018 View
  25. Arader L, Miller D, Perrin A, Vicari F, Friel C, Vrany E, Goodwin A, Butler M. Digital, Personalized Clinical Trials Among Older Adults, Lessons Learned From the COVID-19 Pandemic, and Directions for the Future: Aggregated Feasibility Data From Three Trials Among Older Adults. Journal of Medical Internet Research 2025;27:e54629 View
  26. Mair J, Hashim J, Thai L, Tai E, Ryan J, Kowatsch T, Müller-Riemenschneider F, Edney S. Understanding and overcoming barriers to digital health adoption: a patient and public involvement study. Translational Behavioral Medicine 2025;15(1) View
  27. Zainal N, Liu X, Leong U, Yan X, Chakraborty B. Bridging Innovation and Equity: Advancing Public Health Through Just-in-Time Adaptive Interventions. Annual Review of Public Health 2025;46(1):43 View
  28. Berry E, Sculthorpe N, Warner A, Mather J, Sanal-Hayes N, Hayes L. A scoping review of the feasibility, usability, and efficacy of digital interventions in older adults concerning physical activity and/or exercise. Frontiers in Aging 2025;6 View
  29. Maes I, Latomme J, Vetrovsky T, Kühnová J, Mertens L, Cardon G, Van Dyck D. The influence of individual‐level determinants on compliance with mHealth walking suggestions and older adults' experiences: A longitudinal exploratory mixed methods study. Applied Psychology: Health and Well-Being 2025;17(3) View
  30. Ikegaya M, Foo J, Murata T, Oshima K, Kim J. Using Personalized Intervention Criteria in a Mobile Just-in-Time Adaptive Intervention for Increasing Physical Activity in University Students: Pilot Study. JMIR Human Factors 2025;12:e66750 View

Books/Policy Documents

  1. Keller R, Wangenheim F, Mair J, Kowatsch T. Digital Therapeutics for Mental Health and Addiction. View
  2. Kleinert J, Mackenbrock J. Digitalisierung und Innovation im Sport und in der Sportwissenschaft. View
  3. Lisowska A, Lewis N, Gabanelli P, Fraterman I, Sacchi L, Quaglini S, Wilk S, Peleg M. Pervasive Computing Technologies for Healthcare. View