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

Innovations and Technology for Physical Activity Education (742) Fitness Trackers and Smart Pedometers/Accelerometers (561) Mobile Health (mhealth) (2941) mHealth for Wellness, Behavior Change and Prevention (2872) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493) Wearable Devices and Sensors (889) Web-based and Mobile Health Interventions (3299)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22151, first published .
The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study

The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study

The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study

Authors of this article:

Anna T Rayward1, 2 Author Orcid Image ;   Corneel Vandelanotte1 Author Orcid Image ;   Anetta Van Itallie1 Author Orcid Image ;   Mitch J Duncan3 Author Orcid Image
Article Authors Cited by (10) Tweetations (12) Metrics

Journals

  1. 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
  2. Vandelanotte C, Hooker C, Van Itallie A, Urooj A, Duncan M, Rowe R. Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study. PLOS ONE 2022;17(10):e0274975 View
  3. Idris M, Mubasher M, Alema-Mensah E, Awad C, Vordzorgbe K, Ofili E, Ali Quyyumi A, Pemu P, Mordaunt D. The law of non-usage attrition in a technology-based behavioral intervention for black adults with poor cardiovascular health. PLOS Digital Health 2022;1(10):e0000119 View
  4. Murphy L, Dascombe B, Murawski B, Rayward A, Brown W, Plotnikoff R, Vandelanotte C, Holliday E, Duncan M. Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials. Journal of Activity, Sedentary and Sleep Behaviors 2023;2(1) View
  5. Fukui K, Suzuki Y, Kaneda K, Kuroda S, Komiya M, Maeda N, Urabe Y. Do “Stay-at-Home Exercise” Videos Induce Behavioral Changes in College Students? A Randomized Controlled Trial. Sustainability 2021;13(21):11600 View
  6. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  7. Cheng Q, Dang T, Nguyen T, Velen K, Nguyen V, Nguyen B, Vu D, Long C, Do T, Vu T, Marks G, Yapa M, Fox G, Wiseman V. mHealth application for improving treatment outcomes for patients with multidrug-resistant tuberculosis in Vietnam: an economic evaluation protocol for the V-SMART trial. BMJ Open 2023;13(12):e076778 View
  8. Santos J, Oliveira R. The online community role in physical activity interventions. Procedia Computer Science 2024;239:781 View
  9. Jansson A, Lubans D, Duncan M, Smith J, Bauman A, Attia J, Robards S, Cox E, Beacroft S, Plotnikoff R. Increasing participation in resistance training using outdoor gyms: A study protocol for the ecofit type III hybrid effectiveness implementation trial. Contemporary Clinical Trials Communications 2024;41:101358 View
  10. Kaneda K, Maeda N, Fukui K, Tashiro T, Komiya M, Urabe Y. Impact of the simultaneous distribution of e-learning and exercise videos on the health literacy and lifestyle of college students during the COVID-19 pandemic: a randomized controlled trial. Journal of Physical Therapy Science 2024;36(11):703 View