Published on in Vol 4, No 1 (2015): Jan-Mar

Development of a Fully Automated, Web-Based, Tailored Intervention Promoting Regular Physical Activity Among Insufficiently Active Adults With Type 2 Diabetes: Integrating the I-Change Model, Self-Determination Theory, and Motivational Interviewing Components

Development of a Fully Automated, Web-Based, Tailored Intervention Promoting Regular Physical Activity Among Insufficiently Active Adults With Type 2 Diabetes: Integrating the I-Change Model, Self-Determination Theory, and Motivational Interviewing Components

Development of a Fully Automated, Web-Based, Tailored Intervention Promoting Regular Physical Activity Among Insufficiently Active Adults With Type 2 Diabetes: Integrating the I-Change Model, Self-Determination Theory, and Motivational Interviewing Components

Journals

  1. Dumas A, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Development of an Evidence-Informed Blog to Promote Healthy Eating Among Mothers: Use of the Intervention Mapping Protocol. JMIR Research Protocols 2017;6(5):e92 View
  2. Duncan E, O'Cathain A, Rousseau N, Croot L, Sworn K, Turner K, Yardley L, Hoddinott P. Guidance for reporting intervention development studies in health research (GUIDED): an evidence-based consensus study. BMJ Open 2020;10(4):e033516 View
  3. Jamal A, Khan S, AlHumud A, Al-Duhyyim A, Alrashed M, Bin Shabr F, Alteraif A, Almuziri A, Househ M, Qureshi R. Association of Online Health Information–Seeking Behavior and Self-Care Activities Among Type 2 Diabetic Patients in Saudi Arabia. Journal of Medical Internet Research 2015;17(8):e196 View
  4. Moss E, Tobin L, Campbell T, von Ranson K. Behavioral weight-loss treatment plus motivational interviewing versus attention control: lessons learned from a randomized controlled trial. Trials 2017;18(1) View
  5. Scheerman J, van Empelen P, van Loveren C, van Meijel B. A Mobile App (WhiteTeeth) to Promote Good Oral Health Behavior Among Dutch Adolescents with Fixed Orthodontic Appliances: Intervention Mapping Approach. JMIR mHealth and uHealth 2018;6(8):e163 View
  6. Vluggen S, Hoving C, Schaper N, de Vries H. A web-based program to improve treatment adherence in patients with type 2 diabetes: Development and study protocol. Contemporary Clinical Trials 2018;74:38 View
  7. van het Schip C, Cheung K, Vluggen S, Hoving C, Schaper N, de Vries H. Spoken Animated Self-Management Video Messages Aimed at Improving Physical Activity in People With Type 2 Diabetes: Development and Interview Study. Journal of Medical Internet Research 2020;22(4):e15397 View
  8. Boudreau F, Moreau M, Côté J. Effectiveness of Computer Tailoring Versus Peer Support Web-Based Interventions in Promoting Physical Activity Among Insufficiently Active Canadian Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2016;5(1):e20 View
  9. Sebire S, Toumpakari Z, Turner K, Cooper A, Page A, Malpass A, Andrews R. “I’ve made this my lifestyle now”: a prospective qualitative study of motivation for lifestyle change among people with newly diagnosed type two diabetes mellitus. BMC Public Health 2018;18(1) View
  10. Salari R, R Niakan Kalhori S, Ghazisaeidi M, Fatehi F. Conformity of Diabetes Mobile apps with the Chronic Care Model. BMJ Health & Care Informatics 2019;26(1):e000017 View
  11. Eklund C, Elfström M, Eriksson Y, Söderlund A, Travlos A. Development of the web application My Stress Control—Integrating theories and existing evidence. Cogent Psychology 2018;5(1):1489457 View
  12. Eklund C, Elfström M, Eriksson Y, Söderlund A. User experiences from a web-based, self-management programme: struggling with what I need when stress management is about me. European Journal of Physiotherapy 2019;21(1):39 View
  13. Krukowski R, DiLillo V, Ingle K, Harvey J, West D. Design and Methods of a Synchronous Online Motivational Interviewing Intervention for Weight Management. JMIR Research Protocols 2016;5(2):e69 View
  14. Jattamart A, Leelasantitham A. The Influence of Social Media Lifestyle Interventions on Health Behaviour: A Study on Patients with Major Depressive Disorders and Family Caregivers. The Open Public Health Journal 2019;12(1):387 View
  15. Van der Mispel C, Poppe L, Crombez G, Verloigne M, De Bourdeaudhuij I. A Self-Regulation-Based eHealth Intervention to Promote a Healthy Lifestyle: Investigating User and Website Characteristics Related to Attrition. Journal of Medical Internet Research 2017;19(7):e241 View
  16. Ghanvatkar S, Kankanhalli A, Rajan V. User Models for Personalized Physical Activity Interventions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11098 View
  17. Turchioe M, Heitkemper E, Lor M, Burgermaster M, Mamykina L. Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes. International Journal of Medical Informatics 2019;130:103941 View
  18. Holter M, Johansen A, Brendryen H. How a Fully Automated eHealth Program Simulates Three Therapeutic Processes: A Case Study. Journal of Medical Internet Research 2016;18(6):e176 View
  19. Franklin N, Arena R. Personalized Weight Management Interventions for Cardiovascular Risk Reduction: A Viable Option for African-American Women. Progress in Cardiovascular Diseases 2016;58(6):595 View
  20. Huffman J, DuBois C, Millstein R, Celano C, Wexler D. Positive Psychological Interventions for Patients with Type 2 Diabetes: Rationale, Theoretical Model, and Intervention Development. Journal of Diabetes Research 2015;2015:1 View
  21. Aungst T. Digital Health and the Future of Diabetes Management. Journal of Diabetes, Metabolic Disorders & Control 2015;2(4) View
  22. Tsakanikas V, Gatsios D, Dimopoulos D, Pardalis A, Pavlou M, Liston M, Fotiadis D. Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. Frontiers in Digital Health 2020;2 View
  23. Mino J, Perrin C. Comprendre l’activité physique dans la maladie chronique : proposition d’un cadre théorique d’analyse. Revue d'Épidémiologie et de Santé Publique 2021;69(3):127 View
  24. Abdel Nasser A, Alzahrani R, Ghandoura A, Sultan I. Use of Electronic Health (eHealth) Among Saudi Type 2 Diabetic Patients and Its Association With Their Diabetic Self-Management: A Cross-Sectional Study. Cureus 2021 View
  25. AlBurno H, Mercken L, de Vries H, Al Mohannadi D, Schneider F, Chisati E. Determinants of healthful eating and physical activity among adolescents and young adults with type 1 diabetes in Qatar: A qualitative study. PLOS ONE 2022;17(7):e0270984 View
  26. Baumann H, Fiedler J, Wunsch K, Woll A, Wollesen B. mHealth Interventions to Reduce Physical Inactivity and Sedentary Behavior in Children and Adolescents: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2022;10(5):e35920 View
  27. de Vries H, Verputten W, Preissner C, Kok G. COVID-19 Vaccine Hesitancy: The Role of Information Sources and Beliefs in Dutch Adults. International Journal of Environmental Research and Public Health 2022;19(6):3205 View
  28. Jattamart A, Kwangsawad A. What awareness variables are associated with motivation for changing risky behaviors to prevent recurring victims of cyberbullying?. Heliyon 2021;7(10):e08121 View
  29. Latrille C, Chapel B, Héraud N, Bughin F, Hayot M, Boiché J. An individualized mobile health intervention to promote physical activity in adults with obstructive sleep apnea: An intervention mapping approach. DIGITAL HEALTH 2023;9 View
  30. Preissner C, Oenema A, de Vries H. Examining socio-cognitive factors and beliefs about mindful eating in healthy adults with differing practice experience: a cross-sectional study. BMC Psychology 2022;10(1) View
  31. Uthaileang W, Kiattisin S. Developing the capability of digital financial literacy in developing countries: A Case of online loan for small entrepreneurs. Heliyon 2023;9(12):e21961 View

Books/Policy Documents

  1. Howren M, Roche A, Christensen A. The Wiley Handbook of Healthcare Treatment Engagement. View