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Citing this Article

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Published on 22.05.14 in Vol 2, No 2 (2014): Apr-Jun

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

Works citing "A Persuasive and Social mHealth Application for Physical Activity: A Usability and Feasibility Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2902):

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

  1. McDonald AD, Sasangohar F, Jatav A, Rao AH. Continuous Monitoring and Detection of Post-Traumatic Stress Disorder (PTSD) Triggers Among Veterans: A Supervised Machine Learning Approach. IISE Transactions on Healthcare Systems Engineering 2019;:1
    CrossRef
  2. Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
    CrossRef
  3. Setiawan IMA, Zhou L, Alfikri Z, Saptono A, Fairman AD, Dicianno BE, Parmanto B. An Adaptive Mobile Health System to Support Self-Management for Persons With Chronic Conditions and Disabilities: Usability and Feasibility Studies. JMIR Formative Research 2019;3(2):e12982
    CrossRef
  4. Lee DJ, Veneri DA, Goodworth AD. Self-Management Problem-Solving Tools for Lower-Limb Prosthesis Wearers. Journal of Prosthetics and Orthotics 2019;31(1):33
    CrossRef
  5. Brazendale K, Beets MW, Weaver RG, Turner-McGrievy B, Brazendale AB, Chandler JL, Moore JB, Huberty JL, Lemley J, Brownson RC. The application of mHealth to monitor implementation of best practices to support healthy eating and physical activity in afterschool programs. Global Health Promotion 2018;:175797591876844
    CrossRef
  6. O'Reilly MA, Slevin P, Ward T, Caulfield B. A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift. JMIR mHealth and uHealth 2018;6(1):e33
    CrossRef
  7. Fazzino TL, Martin C, Forbush K. Photography-based mobile assessment of alcohol use in young adults: Feasibility and comparison to standard assessment methodology (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  8. Bediang G, Stoll B, Elia N, Abena J, Geissbuhler A. SMS reminders to improve adherence and cure of tuberculosis patients in Cameroon (TB-SMS Cameroon): a randomised controlled trial. BMC Public Health 2018;18(1)
    CrossRef
  9. James DCS, Harville C. Smartphone Usage, Social Media Engagement, and Willingness to Participate in mHealth Weight Management Research Among African American Women. Health Education & Behavior 2018;45(3):315
    CrossRef
  10. Simblett S, Greer B, Matcham F, Curtis H, Polhemus A, Ferrão J, Gamble P, Wykes T. Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings. Journal of Medical Internet Research 2018;20(7):e10480
    CrossRef
  11. Tong HL, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1)
    CrossRef
  12. Wang Z, Zhang L, Ma L, Liu B. Modeling Medical Services with Mobile Health Applications. Journal of Healthcare Engineering 2018;2018:1
    CrossRef
  13. Lee HE, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445
    CrossRef
  14. Tikkanen SA, Barnhouse M. The Effects of Personal and Social Uses of Mobile Health Applications on Healthy Behaviors. Communication Studies 2017;68(2):152
    CrossRef
  15. Ribeiro N, Moreira L, Almeida AMP, Santos-Silva F. Pilot study of a smartphone-based intervention to promote cancer prevention behaviours. International Journal of Medical Informatics 2017;108:125
    CrossRef
  16. Pereira-Azevedo N, Osório L, Fraga A, Roobol MJ. Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App. JMIR Cancer 2017;3(1):e1
    CrossRef
  17. 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
  18. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer JK. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156
    CrossRef
  19. Fagher K, Jacobsson J, Dahlström , Timpka T, Lexell J. An eHealth Application of Self-Reported Sports-Related Injuries and Illnesses in Paralympic Sport: Pilot Feasibility and Usability Study. JMIR Human Factors 2017;4(4):e30
    CrossRef
  20. Steele Gray C, Gill A, Khan AI, Hans PK, Kuluski K, Cott C. The Electronic Patient Reported Outcome Tool: Testing Usability and Feasibility of a Mobile App and Portal to Support Care for Patients With Complex Chronic Disease and Disability in Primary Care Settings. JMIR mHealth and uHealth 2016;4(2):e58
    CrossRef
  21. Voth EC, Oelke ND, Jung ME. A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study. JMIR mHealth and uHealth 2016;4(2):e62
    CrossRef
  22. Torquati L, Kolbe-Alexander T, Pavey T, Persson C, Leveritt M. Diet and physical activity behaviour in nurses: a qualitative study. International Journal of Health Promotion and Education 2016;54(6):268
    CrossRef
  23. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
    CrossRef
  24. Fong SS, Ng SS, Cheng YT, Zhang J, Chung LM, Chow GC, Chak YT, Chan IK, Macfarlane DJ. Comparison between smartphone pedometer applications and traditional pedometers for improving physical activity and body mass index in community-dwelling older adults. Journal of Physical Therapy Science 2016;28(5):1651
    CrossRef
  25. Du H, Venkatakrishnan A, Youngblood GM, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4
    CrossRef
  26. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
    CrossRef
  27. Pham Q, Wiljer D, Cafazzo JA. Beyond the Randomized Controlled Trial: A Review of Alternatives in mHealth Clinical Trial Methods. JMIR mHealth and uHealth 2016;4(3):e107
    CrossRef
  28. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
    CrossRef
  29. 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
  30. Chang RC, Lu H, Yang P, Luarn P. Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors. JMIR mHealth and uHealth 2016;4(3):e84
    CrossRef
  31. Mohadis HM, Mohamad Ali N, Smeaton AF. Designing a persuasive physical activity application for older workers: understanding end-user perceptions. Behaviour & Information Technology 2016;35(12):1102
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2902)

:
  1. Liao D. Biofeedback. 2018. Chapter 3
    CrossRef
  2. Koskivaara E. Digital Services and Information Intelligence. 2014. Chapter 18:185
    CrossRef