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

Usability of Apps and User Perceptions of mHealth (899) Innovations and Technology for Physical Activity Education (702) mHealth for Wellness, Behavior Change and Prevention (2743) Usability and Technology Use Studies with Elder Subjects (143)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18653, first published .
Engagement, Acceptability, Usability, and Preliminary Efficacy of a Self-Monitoring Mobile Health Intervention to Reduce Sedentary Behavior in Belgian Older Adults: Mixed Methods Study

Engagement, Acceptability, Usability, and Preliminary Efficacy of a Self-Monitoring Mobile Health Intervention to Reduce Sedentary Behavior in Belgian Older Adults: Mixed Methods Study

Engagement, Acceptability, Usability, and Preliminary Efficacy of a Self-Monitoring Mobile Health Intervention to Reduce Sedentary Behavior in Belgian Older Adults: Mixed Methods Study

Authors of this article:

Sofie Compernolle1 Author Orcid Image ;   Greet Cardon1 Author Orcid Image ;   Hidde P van der Ploeg2 Author Orcid Image ;   Femke Van Nassau2 Author Orcid Image ;   Ilse De Bourdeaudhuij1 Author Orcid Image ;   Judith J Jelsma2 Author Orcid Image ;   Ruben Brondeel1, 3 Author Orcid Image ;   Delfien Van Dyck1 Author Orcid Image
Article Authors Cited by (16) Tweetations (17) Metrics

Journals

  1. Compernolle S, Van Dyck D, Cardon G, Brondeel R. Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study. JMIR mHealth and uHealth 2021;9(5):e26387 View
  2. Rager T, Koepfli C, Khan W, Ahmed S, Mahmud Z, Clayton K. Usability of Rapid Cholera Detection Device (OmniVis) for Water Quality Workers in Bangladesh: Iterative Convergent Mixed Methods Study. Journal of Medical Internet Research 2021;23(5):e22973 View
  3. Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Medical Informatics and Decision Making 2022;22(1) View
  4. Tuominen M, Koski P, Axelin A, Stenholm S, Leskinen T. Acceptable, useful, and ineffective? Recent retirees’ experiences of a 12-month activity tracker-based physical activity intervention. DIGITAL HEALTH 2023;9:205520762211474 View
  5. Bernardo J, Apóstolo J, Loureiro R, Santana E, Yaylagul N, Dantas C, Ventura F, Duque F, Jøranson N, Zechner M, Staalduinen W, De Luca V, Illario M, Silva R. eHealth Platforms to Promote Autonomous Life and Active Aging: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(23):15940 View
  6. Sheng Y, Doyle J, Bond R, Jaiswal R, Gavin S, Dinsmore J. Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial. DIGITAL HEALTH 2022;8:205520762211259 View
  7. Liu N, Yin J, Tan S, Ngiam K, Teo H. Mobile health applications for older adults: a systematic review of interface and persuasive feature design. Journal of the American Medical Informatics Association 2021;28(11):2483 View
  8. Willms A, Rhodes R, Liu S. Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial. JMIR Formative Research 2023;7:e36562 View
  9. De Santis K, Mergenthal L, Christianson L, Busskamp A, Vonstein C, Zeeb H. Digital Technologies for Health Promotion and Disease Prevention in Older People: Scoping Review. Journal of Medical Internet Research 2023;25:e43542 View
  10. Bentlage E, Nyamadi J, Dubbeldam R. The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic Review. JMIR mHealth and uHealth 2023;11:e42968 View
  11. Velciu M, Spiru L, Dan Marzan M, Reithner E, Geli S, Borgogni B, Cramariuc O, Mocanu I, Kołakowski J, Ayadi J, Rampioni M, Stara V. How Technology-Based Interventions Can Sustain Ageing Well in the New Decade through the User-Driven Approach. Sustainability 2023;15(13):10330 View
  12. Bayrami R, Rahimi B, Masudi S, Ebrahimi S. THE EFFECT OF EDUCATIONAL AND COUNSELING INTERVENTION THROUGH SMARTPHONE APPLICATION ON THE AWARENESS OF BEHAVIORS RELATED TO SEDENTARY AND CONSUMPTION OF PREPARED FOODS AND WEIGHT GAIN IN WOMEN OF REPRODUCTIVE AGE WITH HIGH BODY MASS INDEX. Nursing and Midwifery Journal 2023;21(1):66 View
  13. van Acker J, Maenhout L, Compernolle S, Albert S. Older Adults’ User Engagement With Mobile Health: A Systematic Review of Qualitative and Mixed-Methods Studies. Innovation in Aging 2023;7(2) View
  14. Gangachin S, Bayrami R, Rahimi B, Masudi S. Smartphone-based educational and counseling interventions for women with high body mass index at Urmia’s health centers. BMC Women's Health 2024;24(1) View
  15. Ohr S, Ball J, Teber E, Ferguson J, Petherbridge R, Giles M. Effectiveness of HealthTracker for post‐caesarean section surgical site infection surveillance: An intervention study. Nursing & Health Sciences 2024;26(1) View

Books/Policy Documents

  1. Swartz A, Welch W. Sedentary Behaviour Epidemiology. View