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

Digital Health Reviews (1701) Web-based and Mobile Health Interventions (3986) mHealth for Wellness, Behavior Change and Prevention (3279) Innovations and Technology for Physical Activity Education (916) Mobile Health (mhealth) (3436) Behavior Change (857) Registered Report (784)

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 (32) Tweetations (15) 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 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 2025;34(2):181 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
  16. Suffoletto B. Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health. Journal of Medical Internet Research 2024;26:e58726 View
  17. Zhao X, Forbes A, Ghazaleh H, He Q, Huang J, Asaad M, Cheng L, Duaso M. Interventions and behaviour change techniques for improving physical activity level in working-age people (18–60 years) with type 2 diabetes: A systematic review and network meta-analysis. International Journal of Nursing Studies 2024;160:104884 View
  18. Bushey E, Wu Y, Wright A, Pescatello L. The Influence of Physical Activity and Diet Mobile Apps on Cardiovascular Disease Risk Factors: Meta-Review. Journal of Medical Internet Research 2024;26:e51321 View
  19. Brons A, Wang S, Visser B, Kröse B, Bakkes S, Veltkamp R. Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview. Journal of Medical Internet Research 2024;26:e47774 View
  20. Islam S, Singh A, Moreno S, Akhter S, Chandir Moses J. Perceptions of healthcare professionals and patients with cardiovascular diseases on mHealth lifestyle apps: A qualitative study. International Journal of Medical Informatics 2025;194:105706 View
  21. Macedo P, Madeira R, Santos P, Mota P, Alves B, Pereira C. A Conversational Agent for Empowering People with Parkinson’s Disease in Exercising Through Motivation and Support. Applied Sciences 2024;15(1):223 View
  22. Yang F, Wang C, Lindsey M, An R. Use of Artificial-Intelligence-Based Chatbots to Promote Physical Activity: A Systematic Review of Interventions. Kinesiology Review 2025;14(1):80 View
  23. Dorigo T, Brown G, Casonato C, Cerdà A, Ciarrochi J, da Lio M, D’Souza N, Gauger N, Hayes S, Hofmann S, Johansson R, Liwicki M, Lotte F, Nieto J, Olivato G, Parnes P, Perry G, Plebe A, Rao I, Rezaei N, Sandin F, Ustyuzhanin A, Vallortigara G, Vischia P, Yazdanpanah N. Artificial Intelligence in Science and Society: The Vision of USERN. IEEE Access 2025;13:15993 View
  24. El Mistiri M, Khan O, Martin C, Hekler E, Rivera D. Data-Driven Mobile Health: System Identification and Hybrid Model Predictive Control to Deliver Personalized Physical Activity Interventions. IEEE Open Journal of Control Systems 2025;4:83 View
  25. Russell E, Kirk A, Dunlop M, Hodgson W, Patience M, Egan K. Digital Physical Activity and Sedentary Behavior Interventions for Community-Living Adults: Umbrella Review. Journal of Medical Internet Research 2025;27:e66294 View
  26. Chandrasekaran B, Rao C, Pesola A, Arumugam A. Effectiveness of technology-assisted and self-directed interventions to sit less and move more among Indian desk-based office workers: A three-arm cluster randomised controlled trial (SMART-STEP trial). Applied Ergonomics 2025;127:104528 View
  27. Chandrasekaran B, Arumugam A, Pesola A, Kundapur P, Rao C. Development, implementation and evaluation of a smartphone application aimed to reduce sedentary time and increase physical activity among Indian sedentary office workers – findings from SMART-STEP trial. BMC Public Health 2025;25(1) View
  28. Zhang Y, Ngai F, Yang Q, Xie Y. Effectiveness of Digital Health Interventions on Sedentary Behavior Among Patients With Chronic Diseases: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2025;13:e59943 View
  29. Chen X, Liu H, Fang J, Wang S, Han Y, Meng J, Han Y, Zou H, Gu Q, Hu X, Ma Q, Huang F. Effects of Tai Chi on Cognitive Function in Older Adults With Type 2 Diabetes Mellitus: Randomized Controlled Trial Using Wearable Devices in a Mobile Health Model. Journal of Medical Internet Research 2025;27:e77014 View
  30. Chandrasekaran B, Rao C. Mobile Interventions for Reducing Sedentary Behavior and Promoting Physical Activity Among Office Workers: Bibliometric Study. Health Education & Behavior 2025 View

Books/Policy Documents

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

Conference Proceedings

  1. El Mistiri M, Khan O, Rivera D, Hekler E. 2023 American Control Conference (ACC). System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity View