Published on in Vol 4, No 1 (2016): Jan-Mar

A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study

A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study

A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study

Journals

  1. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  2. Chang R, Lu H, Yang P, Luarn P. Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors. JMIR mHealth and uHealth 2016;4(3):e84 View
  3. Tonkin E, Jeffs L, Wycherley T, Maher C, Smith R, Hart J, Cubillo B, Brimblecombe J. A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing. JMIR mHealth and uHealth 2017;5(12):e192 View
  4. Cheung Y, Hsueh P, Ensari I, Willey J, Diaz K. Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study. Sensors 2018;18(9):3056 View
  5. Mendonça F, Mostafa S, Morgado-Dias F, Ravelo-García A, Penzel T. Sleep quality of subjects with and without sleep-disordered breathing based on the cyclic alternating pattern rate estimation from single-lead ECG. Physiological Measurement 2019;40(10):105009 View
  6. Springer A, Venkatakrishnan A, Mohan S, Nelson L, Silva M, Pirolli P. Leveraging Self-Affirmation to Improve Behavior Change: A Mobile Health App Experiment. JMIR mHealth and uHealth 2018;6(7):e157 View
  7. Bhuyan S, Lu N, Chandak A, Kim H, Wyant D, Bhatt J, Kedia S, Chang C. Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults. Journal of Medical Systems 2016;40(6) View
  8. Pirolli P, Youngblood G, Du H, Konrad A, Nelson L, Springer A. Scaffolding the Mastery of Healthy Behaviors with Fittle+ Systems: Evidence-Based Interventions and Theory. Human–Computer Interaction 2021;36(2):73 View
  9. Yang Q, Van Stee S. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244 View
  10. Wu D, Xin C, Bindhu S, Xu C, Sachdeva J, Brown J, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123 View
  11. Lozano-Lozano M, Galiano-Castillo N, Martín-Martín L, Pace-Bedetti N, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Monitoring Energy Balance in Breast Cancer Survivors Using a Mobile App: Reliability Study. JMIR mHealth and uHealth 2018;6(3):e67 View
  12. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  13. Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts H. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(12):e23369 View
  14. Davis A, Parker H, Gallagher R. Gamified applications for secondary prevention in patients with high cardiovascular disease risk: A systematic review of effectiveness and acceptability. Journal of Clinical Nursing 2021;30(19-20):3001 View
  15. Ferreira Barbosa H, García-Fernández J, Pedragosa V, Cepeda-Carrion G. The use of fitness centre apps and its relation to customer satisfaction: a UTAUT2 perspective. International Journal of Sports Marketing and Sponsorship 2022;23(5):966 View
  16. Fuente-Vidal A, Guerra-Balic M, Roda-Noguera O, Jerez-Roig J, Montane J. Adherence to eHealth-Delivered Exercise in Adults with no Specific Health Conditions: A Scoping Review on a Conceptual Challenge. International Journal of Environmental Research and Public Health 2022;19(16):10214 View
  17. Valcarce-Torrente M, Javaloyes V, Gallardo L, García-Fernández J, Planas-Anzano A. Influence of Fitness Apps on Sports Habits, Satisfaction, and Intentions to Stay in Fitness Center Users: An Experimental Study. International Journal of Environmental Research and Public Health 2021;18(19):10393 View
  18. Su J, Dugas M, Guo X, Gao G. Building social identity-based groups to enhance online peer support for patients with chronic disease: a pilot study using mixed-methods evaluation. Translational Behavioral Medicine 2022;12(5):702 View
  19. Hrynyschyn R, Prediger C, Stock C, Helmer S. Evaluation Methods Applied to Digital Health Interventions: What Is Being Used beyond Randomised Controlled Trials?—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(9):5221 View
  20. Tonkin E, Brimblecombe J, Wycherley T. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308 View
  21. Chen Y, Ji M, Wu Y, Wang Q, Deng Y, Liu Y, Wu F, Liu M, Guo Y, Fu Z, Zheng X. An Intelligent Individualized Cardiovascular App for Risk Elimination (iCARE) for Individuals With Coronary Heart Disease: Development and Usability Testing Analysis. JMIR mHealth and uHealth 2021;9(12):e26439 View
  22. Yang Q. Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis. International Journal of Environmental Research and Public Health 2021;18(17):9106 View
  23. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  24. Zanaboni P, Manskow U, Sagelv E, Morseth B, Edvardsen A, Aamot I, Nes B, Hastings B, Gagnon M, Antypas K. Digital interventions to promote physical activity among inactive adults: A study protocol for a hybrid type I effectiveness-implementation randomized controlled trial. Frontiers in Public Health 2022;10 View
  25. Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246 View
  26. Jossa-Bastidas O, Zahia S, Fuente-Vidal A, Sánchez Férez N, Roda Noguera O, Montane J, Garcia-Zapirain B. Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach. International Journal of Environmental Research and Public Health 2021;18(20):10769 View
  27. Yau L, Soutter K, Ekegren C, Hill K, Ashe M, Soh S. Adherence to Exercise Programs in Community-Dwelling Older Adults Postdischarge for Hip Fracture: A Systematic Review and Meta-analysis. Archives of Physical Medicine and Rehabilitation 2022;103(9):1827 View
  28. Kaseva K, Tervaniemi M, Heikura E, Kostilainen K, Pöyhönen-Alho M, Shoemaker J, Petrella R, Peltonen J. Identifying Personality Characteristics and Indicators of Psychological Well-Being Associated With Attrition in the Motivation Makes the Move! Physical Activity Intervention: Randomized Technology-Supported Trial. JMIR Formative Research 2022;6(11):e30285 View
  29. Besoain F, Gallardo I. Think About It: Promoting Physical Activity With a Mobile App With a Theory-Based Approach. IEEE Access 2023;11:37021 View
  30. Milne-Ives M, Homer S, Andrade J, Meinert E. Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review. Frontiers in Psychology 2023;14 View
  31. Zheng S, Edney S, Goh C, Tai B, Mair J, Castro O, Salamanca-Sanabria A, Kowatsch T, van Dam R, Müller-Riemenschneider F. Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis. eClinicalMedicine 2023;66:102309 View
  32. Alexander M, Machado L. Chronic exercise and neuropsychological function in healthy young adults: a randomised controlled trial investigating a running intervention. Cognitive Processing 2024 View

Books/Policy Documents

  1. Van Stee S, Yang Q. Technology and Health. View
  2. Lozano-Lozano M, Moral-Munoz J, Galiano-Castillo N, Martín-Martín L, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Advances in Computational Intelligence. View
  3. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. View
  4. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  5. Sampat B, Sharma A, Prabhakar B. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
  6. Valcarce M, Angosto S. Innovation in Physical Activity and Sport. View
  7. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View