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

Mobile Health (mhealth) (2765) Participatory Medicine & E-Patients (758) Quantified Self and Wellness (71) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) mHealth for Wellness, Behavior Change and Prevention (2743) mHealth for Treatment Adherence (384) Use and User Demographics of mHealth (311) Prevention and Health Promotion (895) Glucose Tracking and Self-Monitoring of Blood Glucose (150) Diabetes Self-Management (463) Fitness Trackers and Smart Pedometers/Accelerometers (541)

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

Authors of this article:

Ju Young Kim1 Author Orcid Image ;   Nathan E Wineinger2 Author Orcid Image ;   Michael Taitel3 Author Orcid Image ;   Jennifer M Radin4 Author Orcid Image ;   Osayi Akinbosoye3 Author Orcid Image ;   Jenny Jiang3 Author Orcid Image ;   Nima Nikzad4 Author Orcid Image ;   Gregory Orr5 Author Orcid Image ;   Eric Topol2 Author Orcid Image ;   Steve Steinhubl4 Author Orcid Image
Article Authors Cited by (25) Tweetations (90) Metrics

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;5:205520761988098 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
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  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
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  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

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