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

Digital Health Reviews (1186) Web-based and Mobile Health Interventions (3114) mHealth for Wellness, Behavior Change and Prevention (2743) Innovations and Technology for Physical Activity Education (702) Mobile Health (mhealth) (2765) Behavior Change (653) Registered Report (518)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26315, first published .
Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review

Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review

Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review

Authors of this article:

Reza Daryabeygi-Khotbehsara1 Author Orcid Image ;   Sheikh Mohammed Shariful Islam1 Author Orcid Image ;   David Dunstan2, 3 Author Orcid Image ;   Jenna McVicar1 Author Orcid Image ;   Mohamed Abdelrazek4 Author Orcid Image ;   Ralph Maddison1 Author Orcid Image
Article Authors Cited by (17) Tweetations (16) Metrics

Journals

  1. Bernabe-Ortiz A, Carrillo-Larco R, Gilman R, Smeeth L, Checkley W, Miranda J. Leisure-Time and Transport-Related Physical Activity and the Risk of Mortality: The CRONICAS Cohort Study. Journal of Physical Activity and Health 2022;19(2):118 View
  2. Abdalrada A, Abawajy J, Al-Quraishi T, Islam S. Prediction of cardiac autonomic neuropathy using a machine learning model in patients with diabetes. Therapeutic Advances in Endocrinology and Metabolism 2022;13:204201882210866 View
  3. Daryabeygi-Khotbehsara R, Shariful Islam S, Dunstan D, Abdelrazek M, Markides B, Pham T, Maddison R. Development of an Android Mobile Application for Reducing Sitting Time and Increasing Walking Time in People with Type 2 Diabetes. Electronics 2022;11(19):3011 View
  4. Castro R, Ribeiro-Alves M, Oliveira C, Romero C, Perazzo H, Simjanoski M, Kapciznki F, Balanzá-Martínez V, De Boni R. What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review. Frontiers in Public Health 2022;9 View
  5. Schneider A, Arnold R. Wearables from Head to Toe: Are They Friend or Foe? An Empirical Landscaping of Health and Fitness Wearables and Apps in Six Countries to Identify Emerging Policy Challenges. SSRN Electronic Journal 2022 View
  6. ZHAO B, SOTRES-ALVAREZ D, EVENSON K, GREENLEE H, MOSSAVAR-RAHMANI Y, QI Q, MARQUEZ D, VIDOT D, ELFASSY T, ARREDONDO E, DIAZ K. Day-of-the-Week and Time-of-the-Day Patterns of Sedentary Behavior in the Hispanic Community Health Study/Study of Latinos. Medicine & Science in Sports & Exercise 2023;55(12):2203 View
  7. Chen S, Wu Y, Bushey E, Pescatello L. Evaluation of Exercise Mobile Applications for Adults with Cardiovascular Disease Risk Factors. Journal of Cardiovascular Development and Disease 2023;10(12):477 View
  8. Longhini J, Marzaro C, Bargeri S, Palese A, Dell’Isola A, Turolla A, Pillastrini P, Battista S, Castellini G, Cook C, Gianola S, Rossettini G. Wearable Devices to Improve Physical Activity and Reduce Sedentary Behaviour: An Umbrella Review. Sports Medicine - Open 2024;10(1) View
  9. Wessel L, Sundermeier J, Rothe H, Hanke S, Baiyere A, Rappert F, Gersch M. Designing as trading-off: a practice-based view on smart service systems. European Journal of Information Systems 2024:1 View
  10. Tong H, Alnasser A, Alshahrani N, Bawaked R, AlAhmed R, Alsukait R, Rakic S, Cetinkaya V, Al-Hazzaa H, Alqahtani S. The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e53651 View
  11. Del-Valle-Soto C, López-Pimentel J, Vázquez-Castillo J, Nolazco-Flores J, Velázquez R, Varela-Aldás J, Visconti P. A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being. Sensors 2024;24(8):2429 View
  12. Zhu Y, Zhang R, Yin S, Sun Y, Womer F, Liu R, Zeng S, Zhang X, Wang F. Digital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation. JMIR Public Health and Surveillance 2024;10:e47428 View
  13. Banerjee S, Kha R, Rivera D, Hekler E. Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach. Journal of Process Control 2024;139:103242 View
  14. Daryabeygi-Khotbehsara R, Dunstan D, Shariful Islam S, Rhodes R, Hojjatinia S, Abdelrazek M, Hekler E, Markides B, Maddison R. A control system model of capability-opportunity-motivation and behaviour (COM-B) framework for sedentary and physical activity behaviours. DIGITAL HEALTH 2024;10 View
  15. de Looff P, Noordzij M, Nijman H, Goedhard L, Bogaerts S, Didden R. Putting the usability of wearable technology in forensic psychiatry to the test: a randomized crossover trial. Frontiers in Psychiatry 2024;15 View

Books/Policy Documents

  1. Leonard K, Mullane S, Pereira M, Buman M. Sedentary Behaviour Epidemiology. View