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JMIR mHealth and uHealth

Citing this Article

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Published on 14.05.15 in Vol 3, No 2 (2015): Apr-Jun

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

Works citing "Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4160):

(note that this is only a small subset of citations)

  1. Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2017;
    CrossRef
  2. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231
    CrossRef
  3. Kim BY, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69
    CrossRef
  4. Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JE. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277
    CrossRef
  5. Hollis V, Konrad A, Springer A, Antoun M, Antoun C, Martin R, Whittaker S. What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being. Human–Computer Interaction 2017;32(5-6):208
    CrossRef
  6. Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2017;:1357633X1769272
    CrossRef
  7. Vogel J, Auinger A, Riedl R, Kindermann H, Helfert M, Ocenasek H, Tang D. Digitally enhanced recovery: Investigating the use of digital self-tracking for monitoring leisure time physical activity of cardiovascular disease (CVD) patients undergoing cardiac rehabilitation. PLOS ONE 2017;12(10):e0186261
    CrossRef
  8. Gordon EJ, Sohn M, Chang C, McNatt G, Vera K, Beauvais N, Warren E, Mannon RB, Ison MG. Effect of a Mobile Web App on Kidney Transplant Candidatesʼ Knowledge About Increased Risk Donor Kidneys. Transplantation 2017;101(6):1167
    CrossRef
  9. Kunkle S, Christie G, Yach D, El-Sayed AM. The Importance of Computer Science for Public Health Training: An Opportunity and Call to Action. JMIR Public Health and Surveillance 2016;2(1):e10
    CrossRef
  10. Kunkle S, Christie G, Hajat C, Yach D. The Role of the Private Sector in Tilting Health Systems Toward Chronic Disease Prevention. Global Heart 2016;11(4):451
    CrossRef
  11. Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  12. Pollard CM, Howat PA, Pratt IS, Boushey CJ, Delp EJ, Kerr DA. Preferred Tone of Nutrition Text Messages for Young Adults: Focus Group Testing. JMIR mHealth and uHealth 2016;4(1):e1
    CrossRef
  13. Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Annals of Behavioral Medicine 2016;
    CrossRef
  14. Chrisman M, Chow W, Daniel CR, Wu X, Zhao H. Mobile Phone Use and its Association With Sitting Time and Meeting Physical Activity Recommendations in a Mexican American Cohort. JMIR mHealth and uHealth 2016;4(2):e54
    CrossRef
  15. Miyamoto SW, Henderson S, Young HM, Pande A, Han JJ. Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change. JMIR mHealth and uHealth 2016;4(1):e5
    CrossRef
  16. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287
    CrossRef
  17. Brand L, Beltran A, Hughes S, O'Connor T, Baranowski J, Nicklas T, Chen T, Dadabhoy HR, Diep CS, Buday R, Baranowski T. Assessing Feedback in a Mobile Videogame. Games for Health Journal 2016;5(3):203
    CrossRef
  18. Allen LN, Christie GP. The Emergence of Personalized Health Technology. Journal of Medical Internet Research 2016;18(5):e99
    CrossRef
  19. Hales S, Turner-McGrievy GM, Wilcox S, Fahim A, Davis RE, Huhns M, Valafar H. Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics 2016;94:81
    CrossRef
  20. Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth 2016;4(3):e106
    CrossRef
  21. Dempsey W, Liao P, Klasnja P, Nahum-Shani I, Murphy SA. Randomised trials for the Fitbit generation. Significance 2015;12(6):20
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4160)

:
  1. Rabbi M, Hane Aung M, Choudhury T. Mobile Health. 2017. Chapter 26:519
    CrossRef