Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17709, first published .
Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study

Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study

Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study

Journals

  1. Bischoff L, Baumann H, Meixner C, Nixon P, Wollesen B. App-Tailoring Requirements to Increase Stress Management Competencies Within Families: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(7):e26376 View
  2. Mendoza-Catalán G, Rodríguez-Santamaría Y, Domínguez-Chávez C, Juárez-Medina L, Villa-Rueda A, González-Ramírez J, Gutiérrez-Valverde J. Personality Traits and Self-Care Behaviors in Adults with Type 2 Diabetes Mellitus. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:1 View
  3. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  4. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  5. Alhmiedat T, Alotaibi M. Design and Evaluation of a Personal Robot Playing a Self-Management for Children with Obesity. Electronics 2022;11(23):4000 View
  6. Wang X, Wu Y, Meng Z, Li J, Xu L, Sun X, Zang S. Willingness to Use Mobile Health Devices in the Post–COVID-19 Era: Nationwide Cross-sectional Study in China. Journal of Medical Internet Research 2023;25:e44225 View
  7. Alhmiedat T, Alotaibi M. Employing Social Robots for Managing Diabetes Among Children: SARA. Wireless Personal Communications 2023;130(1):449 View
  8. Zhang W, Yang P, Wang H, Pan X, Wang Y. The effectiveness of a mHealth-based integrated hospital-community-home program for people with type 2 diabetes in transitional care: a protocol for a multicenter pragmatic randomized controlled trial. BMC Primary Care 2022;23(1) View
  9. 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
  10. Wang T, Sun Y, Liao S. Physical Self Matters: How the Dual Nature of Body Image Influences Smart Watch Purchase Intention. Frontiers in Psychology 2022;13 View
  11. Larsen L, Lauritzen M, Sinkjaer M, Kjaer T. The Effect of Wearable Tracking Devices on Cardiorespiratory Fitness Among Inactive Adults: Crossover Study. JMIR Cardio 2022;6(1):e31501 View
  12. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  13. Sladić Rimac D, Bilić Ćurčić I, Prpić Križevac I, Schonberger E, Centner M, Barišić M, Canecki Varžić S. The Association of Personality Traits and Parameters of Glycemic Regulation in Type 1 Diabetes Mellitus Patients Using isCGM. Healthcare 2022;10(9):1792 View
  14. Oinas-Kukkonen H, Pohjolainen S, Agyei E. Mitigating Issues With/of/for True Personalization. Frontiers in Artificial Intelligence 2022;5 View
  15. Huang J, Chan S, Ko S, Tong E, Cheung C, Wong W, Cheung N, Wong M. Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients. npj Digital Medicine 2023;6(1) View
  16. Choi J, Ma D, Wolfson J, Wyman J, Adam T, Fu H. Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes. CIN: Computers, Informatics, Nursing 2023;41(12):1026 View
  17. Weik L, Fehring L, Mortsiefer A, Meister S. Big 5 Personality Traits and Individual- and Practice-Related Characteristics as Influencing Factors of Digital Maturity in General Practices: Quantitative Web-Based Survey Study. Journal of Medical Internet Research 2024;26:e52085 View
  18. Weik L, Fehring L, Mortsiefer A, Meister S. Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis. npj Digital Medicine 2024;7(1) View
  19. Yoon S, Tang H, Tan C, Phang J, Kwan Y, Low L. Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2024;9:e48310 View
  20. Tan H, Neo L, Chen X, Ahmad N, Low R, Loong K. Are we Ready for Telehealth? A Latent Profile Analysis of Telehealth Receptiveness, Personality Traits and Socio-Demographics. Journal of Technology in Behavioral Science 2024 View

Books/Policy Documents

  1. Altuwayrib S, Win K, Freeman M. Persuasive Technology. View