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

mHealth for Wellness, Behavior Change and Prevention (4240) mHealth for Data Collection and Research (1706) Usability of Apps and User Perceptions of mHealth (1786) Design and Formative Evaluation of Mobile Apps (1000) Fitness Trackers and Smart Pedometers/Accelerometers (789) Physical Activity for Older People (474) Innovations and Technology for Physical Activity Education (1059)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27208, first published .
Person checking fitness app on phone, showing 7905 steps and goal reached.

Walking and Daily Affect Among Sedentary Older Adults Measured Using the StepMATE App: Pilot Randomized Controlled Trial

Walking and Daily Affect Among Sedentary Older Adults Measured Using the StepMATE App: Pilot Randomized Controlled Trial

Authors of this article:

Alycia N Bisson1, 2 Author Orcid Image ;   Victoria Sorrentino1 Author Orcid Image ;   Margie E Lachman1 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Lee J, Kim J, Lee J, Lee S, Lee S, Kim H. mHealth interventions to increase physical activity for older adults: A meta-analysis of effectiveness. Korean Journal of Health Education and Promotion 2022;39(5):111 View
  2. Bisson A, Lachman M. The relationship of daily physical activity and sleep in adults: variations by age, sex, and race. Journal of Behavioral Medicine 2023;46(4):642 View
  3. Presta V, Gobbi G, Condello G, Carubbi C, Masselli E, Mirandola P, Vitale M. Evolution led humans to bipedalism, but we live in a sedentary society: Will “Sunday running” protect us from NCDs at no cost?. Frontiers in Public Health 2023;10 View
  4. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  5. Stieger M, Allemand M, Lachman M. Effects of a digital self-control intervention to increase physical activity in middle-aged adults. Journal of Health Psychology 2023;28(10):984 View
  6. Jones C, Chandarana S, Vyas A, Napolitano M. Attitudes, Barriers, and Motivators Toward Daily Walking and a Mobile App to Increase Walking Among Women: Web-Based Anonymous Survey. JMIR Formative Research 2024;8:e48668 View
  7. Zhu Y, Long Y, Wang H, Lee K, Zhang L, Wang S. Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review. Journal of Medical Internet Research 2024;26:e54375 View
  8. Abdullah R, Namgung H, Varghese V, Chikaraishi M, Fujiwara A. Developing a mobile phone application to encourage walking: What works and for whom?. Asian Transport Studies 2025;11:100163 View
  9. Bombassei De Bona F, Câmpanu I, Langheinrich M, Gjoreski M, Juravle G. LIFETRACE: A Longitudinal Multimodal Dataset on Daily Physical Activity, Well-Being, and Habits. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(4):1 View
  10. Daniels K, Quadflieg K, Bergs J, Spooren A, Hansen D, Bonnechère B. Sitting still while the world gets sicker: Rethinking physical inactivity as a public health emergency. BMC Global and Public Health 2026;4(1) View
  11. Vitorino Fandim J, Carballo-Costa L, Santana P, Parker R, Jacob M, Verhagen A, Tirotti Saragiotto B. Exploring equity in telehealth interventions in physiotherapy: A meta-epidemiological study. Brazilian Journal of Physical Therapy 2026;30(5):101632 View
  12. Omkar A, Bertrand J, Sadasivan C, Osness E, Vandermeer B, Ding X, Dennett L, Mansour J, Ezeugwu V, Hyde A, Tandon P. Behaviour change techniques in eHealth interventions for older, frail, or sarcopenic adults: A systematic review and meta-analysis. DIGITAL HEALTH 2026;12 View