Published on in Vol 18, No 11 (2016): November

Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors

Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors

Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors

Journals

  1. Smith-Ray R, Nikzad N, Singh T, Jiang J, Taitel M, Quer G, Cherry J, Steinhubl S. A cross-sectional study of physical activity participation among adults with chronic conditions participating in a digital health program. DIGITAL HEALTH 2019;5 View
  2. Ming L, Untong N, Aliudin N, Osili N, Kifli N, Tan C, Goh K, Ng P, Al-Worafi Y, Lee K, Goh H. Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review. JMIR mHealth and uHealth 2020;8(9):e19796 View
  3. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44 View
  4. Bidargaddi N, Pituch T, Maaieh H, Short C, Strecher V. Predicting which type of push notification content motivates users to engage in a self-monitoring app. Preventive Medicine Reports 2018;11:267 View
  5. Flitcroft L, Chen W, Meyer D. The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study. Journal of Medical Internet Research 2020;22(6):e14977 View
  6. Grock S, Ku J, Kim J, Moin T. A Review of Technology-Assisted Interventions for Diabetes Prevention. Current Diabetes Reports 2017;17(11) View
  7. Ryan J, Edney S, Maher C. Engagement, compliance and retention with a gamified online social networking physical activity intervention. Translational Behavioral Medicine 2017;7(4):702 View
  8. Matthews P, Topham P, Caleb-Solly P. Interaction and Engagement with an Anxiety Management App: Analysis Using Large-Scale Behavioral Data. JMIR Mental Health 2018;5(4):e58 View
  9. Park J, Park S, Kim G, Kim K, Jung J, Yoo S, Yi G, Lee D. Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications. IEEE Access 2020;8:79472 View
  10. Mason M, Ickes M, Campbell M, Bollinger L. An Incentivized, Workplace Physical Activity Intervention Preferentially Increases Daily Steps in Inactive Employees. American Journal of Health Promotion 2018;32(3):638 View
  11. Kim H, Seo K. Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2019;17(1):15 View
  12. Fuchs S, Harzheim E, Iochpe C, David C, Gonçalves M, Sesin G, Costa C, Moreira L, Fuchs F. Technologies for Innovative Monitoring to Reduce Blood Pressure and Change Lifestyle Using Mobile Phones in Adult and Elderly Populations (TIM Study): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(8):e169 View
  13. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  14. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  15. Seo K, Han D. Experiences of Physical Activity Using Smartphone Application for the Female University Student : A Focus Group Interview. Journal of Digital Contents Society 2020;21(10):1817 View
  16. Nezami B, Valle C, Nulty A, Espeland M, Wing R, Tate D. Predictors and Outcomes of Digital Weighing and Activity Tracking Lapses Among Young Adults During Weight Gain Prevention. Obesity 2021;29(4):698 View
  17. Rubeis G. Liquid Health. Medicine in the age of surveillance capitalism. Social Science & Medicine 2023;322:115810 View
  18. Bulgin D, Biola H, Whitney C, Bakovic M, Kang Y, Raman R, Eck C, Caesar A, Chaplin J, Eisenson H, Granger B. Patient expectations and preferences for community‐based hypertension classes with implications for action. Worldviews on Evidence-Based Nursing 2022;19(1):42 View
  19. Graham S, Pitter V, Hori J, Stein N, Branch O. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306 View
  20. Ren X, Zhang X, Zou R, Yan R, Yu B. EmoVis: exploring data-enabled analogue journaling to promote self-reflection for mental wellness among college students. Behaviour & Information Technology 2024:1 View
  21. Yi J, Lee S, Lee S. The effect of the Smart Health Continuous Feedback For Elderly Exercise (SHe CoFFEE) program on mobility: a randomized controlled pilot study. Frontiers in Public Health 2024;12 View

Books/Policy Documents

  1. Prashad R, Chen M. Optimizing Health Literacy for Improved Clinical Practices. View
  2. Oldenmenger W, van den Hurk C, Howell D. Developing and Utilizing Digital Technology in Healthcare for Assessment and Monitoring. View
  3. Stepanovic S. Well-Being in the Information Society. Fruits of Respect. View
  4. Prashad R, Chen M. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. View