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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"

Soleh U Al Ayubi, Bambang Parmanto, Robert Branch, Dan Ding

JMIR Mhealth Uhealth 2014 (May 22); 2(2):e25 

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)

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  3. 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
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  4. . A Practical Guide for Health Service Providers on the Design, Development, and Deployment of Smartphone Apps for the Delivery of Clinical Services. Journal of Technology in Behavioral Science 2020;5(1):1
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  6. 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
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  7. 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
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  8. Losa-Iglesias ME, Becerro-de-Bengoa Losa K, López-López D, Jimenez-Fernandez R, Corral-Liria I, Vazquez RR, Gallardo CE, Becerro-de-Bengoa Vallejo R. The Usability of a Heartbeat Measuring Mobile Phone app: an Observational Study. Journal of Medical Systems 2019;43(7)
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  9. Hamamatsu Y, Ide H, Kakinuma M, Furui Y. Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2020;8(7):e16159
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  10. 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
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  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)
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  12. 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
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  13. Wu DTY, Xin C, Bindhu S, Xu C, Sachdeva J, Brown JL, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123
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  14. Mwaisaka J, Gonsalves L, Thiongo M, Waithaka M, Sidha H, Otieno A, Mukiira C, Gichangi P. Young people’s experiences using an on-demand mHealth sexual and reproductive health text message intervention in Kenya: A qualitative study (Preprint). JMIR mHealth and uHealth 2020;
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  15. Pereira Azevedo N, Gravas S, de la Rosette J. Mobile Health in Urology: The Good, the Bad and the Ugly. Journal of Clinical Medicine 2020;9(4):1016
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  16. Azad-Khaneghah P, Neubauer N, Miguel Cruz A, Liu L. Mobile health app usability and quality rating scales: a systematic review. Disability and Rehabilitation: Assistive Technology 2021;16(7):712
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  17. 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)
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  18. Lee DJ, Veneri DA, Goodworth AD. Self-Management Problem-Solving Tools for Lower-Limb Prosthesis Wearers: Mobile App Usability and Acceptability Study. JPO Journal of Prosthetics and Orthotics 2019;31(1):33
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  19. Fazzino TL, Martin CK, Forbush K. The Remote Food Photography Method and SmartIntake App for the Assessment of Alcohol Use in Young Adults: Feasibility Study and Comparison to Standard Assessment Methodology. JMIR mHealth and uHealth 2018;6(9):e10460
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  20. 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
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  21. Zhang X, Xu X. Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International Journal of Nursing Sciences 2020;7:S80
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  22. . Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
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  23. 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
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  24. 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
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  25. Tikkanen SA, Barnhouse M. The Effects of Personal and Social Uses of Mobile Health Applications on Healthy Behaviors. Communication Studies 2017;68(2):152
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  26. 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
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  27. 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
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  28. 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 2020;27(1):33
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  29. 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
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  30. 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
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  31. 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
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  32. Napolitano MA, Lynch SB, Mavredes M, Shambon B, Posey L. Evaluating an Interactive Digital Intervention for College Weight Gain Prevention. Journal of Nutrition Education and Behavior 2020;52(9):890
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  33. 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;9(3):201
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  34. Steele Gray C, Tang T, Armas A, Backo-Shannon M, Harvey S, Kuluski K, Loganathan M, Nie JX, Petrie J, Ramsay T, Reid R, Thavorn K, Upshur R, Wodchis WP, Nelson M. Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study. JMIR Research Protocols 2020;9(11):e20220
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  35. 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
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  36. 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
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  37. . My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
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  38. 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
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  39. 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
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  40. Chaniaud N, Métayer N, Megalakaki O, Loup-Escande E. Effect of Prior Health Knowledge on the Usability of Two Home Medical Devices: Usability Study. JMIR mHealth and uHealth 2020;8(9):e17983
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  41. 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
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  42. 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
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  43. Silva AG, Simões P, Santos R, Queirós A, Rocha NP, Rodrigues M. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research 2019;21(11):e14829
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  44. 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
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  45. Petersen JM, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687
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  46. Geng Z, Ning L, Cai L, Liu Y, Wang J, Zhang Y, Wu F, Yuan C. Usability of a Theory-based Mobile Health Physical Activity Intervention for Breast Cancer Patients during Chemotherapy: Mixed Method Study (Preprint). JMIR Formative Research 2020;
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  47. Díaz JL, Codern-Bové N, Zomeño M, Lassale C, Schröder H, Grau M. Quantitative and qualitative evaluation of the COMPASS mobile app: a citizen science project. Informatics for Health and Social Care 2021;46(4):412
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  48. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429
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  49. Hensher M, Cooper P, Dona SWA, Angeles MR, Nguyen D, Heynsbergh N, Chatterton ML, Peeters A. Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers. Journal of the American Medical Informatics Association 2021;28(6):1318
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  50. Shelby T, Zhou X, Barber D, Altice F. Acceptability of an mHealth App That Provides Harm Reduction Services Among People Who Inject Drugs: Survey Study. Journal of Medical Internet Research 2021;23(7):e25428
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  51. Herrmanny K, Schwarz M, Paldán K, Beckmann N, Sell J, Wagner N, Dogangün A. Designing a Holistic Behavior Change Support System for Healthy Aging. i-com 2017;16(2):99
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  52. Mitchell KM, Holtz BE, McCarroll AM. Assessing College Students' Perceptions of and Intentions to Use a Mobile App for Mental Health. Telemedicine and e-Health 2022;28(4):566
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  53. Hoevenaars D, Holla JFM, te Loo L, Koedijker JM, Dankers S, Houdijk H, Visser B, Janssen TWJ, de Groot S, Deutekom M. Mobile App (WHEELS) to Promote a Healthy Lifestyle in Wheelchair Users With Spinal Cord Injury or Lower Limb Amputation: Usability and Feasibility Study. JMIR Formative Research 2021;5(8):e24909
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  54. Kozak K, Seidel A, Matvieieva N, Neupetsch C, Teicher U, Lemme G, Ben Achour A, Barth M, Ihlenfeldt S, Drossel W. Unique Device Identification–Based Linkage of Hierarchically Accessible Data Domains in Prospective Surgical Hospital Data Ecosystems: User-Centered Design Approach. JMIR Medical Informatics 2023;11:e41614
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  55. Jebraeily M, Eghtedar S, Ayatollahi H, Mohammadzadeh Z. Identifying Educational Contents and Technical Features of a Self-Management Smartphone Application for Women with Breast Cancer. Journal of Advances in Medical and Biomedical Research 2022;30(139):129
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  56. Willms A, Rhodes RE, Liu S. Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial. JMIR Formative Research 2023;7:e36562
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  57. Feldman AG, Moore S, Bull S, Morris MA, Wilson K, Bell C, Collins MM, Denize KM, Kempe A. A Smartphone App to Increase Immunizations in the Pediatric Solid Organ Transplant Population: Development and Initial Usability Study. JMIR Formative Research 2022;6(1):e32273
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  58. Saha S, Lozano CP, Broyles S, Martin CK, Apolzan JW. Assessing the Initial Validity of the PortionSize App to Estimate Dietary Intake Among Adults: Pilot and Feasibility App Validation Study. JMIR Formative Research 2022;6(6):e38283
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  59. Shetty VB, Soon WHK, Roberts AG, Fried L, Roby HC, Smith GJ, Fournier PA, Jones TW, Davis EA. A Novel Mobile Health App to Educate and Empower Young People With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Mixed Methods Pilot Study. JMIR Diabetes 2021;6(4):e29739
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  60. Almohanna AAS, Win KT, Meedya S, Vlahu-Gjorgievska E. Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study. International Journal of Medical Informatics 2022;164:104789
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  61. Perkes S, Huntriss B, Skinner N, Leece B, Dobson R, Mattes J, Hall K, Bonevski B. Growin’ Up Healthy Jarjums: Evaluation of engagement and acceptability of an mHealth intervention designed with and for Aboriginal and Torres Strait Islander mothers (Preprint). JMIR Pediatrics and Parenting 2022;
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  62. Sharif R, Zafar H, Vellinga A, Flaherty G, Sharif F. Analysis of Web and Mobile Apps for Monitoring of Childhood Physical Activity. International Journal of Digital Health 2022;2(1):1
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  63. Ribaut J, DeVito Dabbs A, Dobbels F, Teynor A, Mess EV, Hoffmann T, De Geest SM. Developing a comprehensive list of criteria to assess and evaluate the characteristics and quality of eHealth smartphone applications: Systematic review (Preprint). JMIR mHealth and uHealth 2023;
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  64. Lozano CP, Canty EN, Saha S, Broyles ST, Beyl RA, Apolzan JW, Martin CK. Validity of an Artificial Intelligence-Based Application to Identify Foods and Estimate Energy Intake Among Adults: A Pilot Study. Current Developments in Nutrition 2023;7(11):102009
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  65. Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1
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  66. Braun M, Carlier S, De Backere F, Van De Velde M, De Turck F, Crombez G, De Paepe AL. Identifying app components that promote physical activity: a group concept mapping study. PeerJ 2024;12:e17100
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2902):

  1. . Biofeedback. 2018. Chapter 3
    CrossRef
  2. . Digital Services and Information Intelligence. 2014. Chapter 18:185
    CrossRef
  3. . Prescription des Activités Physiques. 2016. :195
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  4. L. Yurchenko A, O. Zamulina M. Contemporary Advances in Sports Science. 2021. Chapter 10
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  5. Silva T, Alves F, Pacheco F, Paiva S, Pereira AI. IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges. 2023. Chapter 11:183
    CrossRef