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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. Lee U, Han K, Cho H, Chung K, Hong H, Lee S, Noh Y, Park S, Carroll JM. Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks 2019;83:8
    CrossRef
  2. Recio-Rodriguez J, Agudo Conde C, Calvo-Aponte M, Gonzalez-Viejo N, Fernandez-Alonso C, Mendizabal-Gallastegui N, Rodriguez-Martin B, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study. Nutrients 2018;10(10):1473
    CrossRef
  3. Gough A, Prior L, Kee F, Hunter RF. Physical activity and behaviour change: the role of distributed motivation. Critical Public Health 2018;:1
    CrossRef
  4. Siriwoen R, Chongsuwat R, Tansakul S, Siri S. Effectiveness of a Weight Management Program Applying Mobile Health Technology as a Supporting Tool for Overweight and Obese Working Women. Asia Pacific Journal of Public Health 2018;30(6):572
    CrossRef
  5. Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;:1
    CrossRef
  6. van den Boer J, van der Lee A, Zhou L, Papapanagiotou V, Diou C, Delopoulos A, Mars M. The SPLENDID Eating Detection Sensor: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(9):e170
    CrossRef
  7. Ghanvatkar S, Kankanhalli A, Rajan V. User Models for Personalized Physical Activity Interventions: A Scoping Review (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  8. Feldman DI, Theodore Robison W, Pacor JM, Caddell LC, Feldman EB, Deitz RL, Feldman T, Martin SS, Nasir K, Blaha MJ. Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease. Clinical Cardiology 2018;41(7):985
    CrossRef
  9. Kovacs G, Wu Z, Bernstein MS. Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1
    CrossRef
  10. Valle CG, Queen TL, Martin BA, Ribisl KM, Mayer DK, Tate DF. Optimizing Tailored Communications for Health Risk Assessment: A Randomized Factorial Experiment of the Effects of Expectancy Priming, Autonomy Support, and Exemplification. Journal of Medical Internet Research 2018;20(3):e63
    CrossRef
  11. Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120
    CrossRef
  12. 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 2018;24(4):290
    CrossRef
  13. Huang Y, Benford S, Blake H. Digital interventions to reduce sedentary behaviours of office workers: a scoping review (Preprint). Journal of Medical Internet Research 2018;
    CrossRef
  14. Paruthi G, Raj S, Colabianchi N, Klasnja P, Newman MW. Finding the Sweet Spot(s). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(1):1
    CrossRef
  15. Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81
    CrossRef
  16. Rabbi M, Aung MS, Gay G, Reid MC, Choudhury T. Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults. Journal of Medical Internet Research 2018;20(10):e10147
    CrossRef
  17. Schembre SM, Liao Y, Robertson MC, Dunton GF, Kerr J, Haffey ME, Burnett T, Basen-Engquist K, Hicklen RS. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106
    CrossRef
  18. Kim BY, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69
    CrossRef
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. Allen LN, Christie GP. The Emergence of Personalized Health Technology. Journal of Medical Internet Research 2016;18(5):e99
    CrossRef
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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. McLaughlin AC, Matalenas LA, Coleman MG. Aging, Technology and Health. 2018. :261
    CrossRef
  2. Rabbi M, Hane Aung M, Choudhury T. Mobile Health. 2017. Chapter 26:519
    CrossRef