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

mHealth for Wellness, Behavior Change and Prevention (2871) Web-based and Mobile Health Interventions (3297) Mobile Health (mhealth) (2939) Usability of Apps and User Perceptions of mHealth (974)

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

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

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

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

Authors of this article:

Soleh U Al Ayubi1, 2 ;   Bambang Parmanto1 Author Orcid Image ;   Robert Branch3 ;   Dan Ding4
Article Authors Cited by (82) Tweetations (22) Metrics

Journals

  1. Pham Q, Wiljer D, Cafazzo J. Beyond the Randomized Controlled Trial: A Review of Alternatives in mHealth Clinical Trial Methods. JMIR mHealth and uHealth 2016;4(3):e107 View
  2. Wang Z, Zhang L, Ma L, Liu B. Modeling Medical Services with Mobile Health Applications. Journal of Healthcare Engineering 2018;2018:1 View
  3. Tong H, Coiera E, Tong W, Wang Y, Quiroz J, 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 View
  4. Perle J. 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 View
  5. Fang Y, Lin C. The Usability Testing of VR Interface for Tourism Apps. Applied Sciences 2019;9(16):3215 View
  6. Chang R, 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 View
  7. Setiawan I, Zhou L, Alfikri Z, Saptono A, Fairman A, Dicianno B, 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 View
  8. Losa-Iglesias M, Becerro-de-Bengoa Losa K, López-López D, Jimenez-Fernandez R, Corral-Liria I, Vazquez R, Gallardo C, Becerro-de-Bengoa Vallejo R. The Usability of a Heartbeat Measuring Mobile Phone app: an Observational Study. Journal of Medical Systems 2019;43(7) View
  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 View
  10. Lentferink A, Oldenhuis H, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen J. 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 View
  11. Tong H, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1) View
  12. Miyamoto S, Henderson S, Young H, Pande A, Han J. 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 View
  13. Wu D, Xin C, Bindhu S, Xu C, Sachdeva J, Brown J, 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 View
  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 View
  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 View
  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 View
  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) View
  18. Lee D, Veneri D, Goodworth A. 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 View
  19. Fazzino T, Martin C, 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 View
  20. Fong S, Ng S, Cheng Y, Zhang J, Chung L, Chow G, Chak Y, Chan I, Macfarlane D. 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 View
  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 View
  22. Higgins J. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11 View
  23. James D, 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 View
  24. Steele Gray C, Gill A, Khan A, Hans P, 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 View
  25. Tikkanen S, Barnhouse M. The Effects of Personal and Social Uses of Mobile Health Applications on Healthy Behaviors. Communication Studies 2017;68(2):152 View
  26. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer J. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156 View
  27. Mohadis H, Mohamad Ali N, Smeaton A. Designing a persuasive physical activity application for older workers: understanding end-user perceptions. Behaviour & Information Technology 2016;35(12):1102 View
  28. Brazendale K, Beets M, Weaver R, Turner-McGrievy B, Brazendale A, Chandler J, Moore J, Huberty J, Lemley J, Brownson R. 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 View
  29. Ribeiro N, Moreira L, Almeida A, Santos-Silva F. Pilot study of a smartphone-based intervention to promote cancer prevention behaviours. International Journal of Medical Informatics 2017;108:125 View
  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 View
  31. Fagher K, Jacobsson J, Dahlström Ö, 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 View
  32. Napolitano M, Lynch S, 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 View
  33. McDonald A, Sasangohar F, Jatav A, Rao A. 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 View
  34. Steele Gray C, Tang T, Armas A, Backo-Shannon M, Harvey S, Kuluski K, Loganathan M, Nie J, Petrie J, Ramsay T, Reid R, Thavorn K, Upshur R, Wodchis W, 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 View
  35. White B, Martin A, White J, Burns S, Maycock B, Giglia R, Scott J. 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 View
  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 View
  37. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348 View
  38. Du H, Venkatakrishnan A, Youngblood G, 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 View
  39. Lee H, 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 View
  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 View
  41. O'Reilly M, 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 View
  42. Voth E, Oelke N, Jung M. A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study. JMIR mHealth and uHealth 2016;4(2):e62 View
  43. Silva A, Simões P, Santos R, Queirós A, Rocha N, 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 View
  44. Pereira-Azevedo N, Osório L, Fraga A, Roobol M. Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App. JMIR Cancer 2017;3(1):e1 View
  45. Petersen J, 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 View
  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 View
  47. Díaz J, 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 View
  48. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  49. Hensher M, Cooper P, Dona S, Angeles M, Nguyen D, Heynsbergh N, Chatterton M, 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 View
  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 View
  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 View
  52. Mitchell K, Holtz B, McCarroll A. Assessing College Students' Perceptions of and Intentions to Use a Mobile App for Mental Health. Telemedicine and e-Health 2022;28(4):566 View
  53. Hoevenaars D, Holla J, te Loo L, Koedijker J, Dankers S, Houdijk H, Visser B, Janssen T, 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 View
  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 View
  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 View
  56. Willms A, Rhodes R, 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 View
  57. Feldman A, Moore S, Bull S, Morris M, Wilson K, Bell C, Collins M, Denize K, 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 View
  58. Saha S, Lozano C, Broyles S, Martin C, Apolzan J. 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 View
  59. Shetty V, Soon W, Roberts A, Fried L, Roby H, Smith G, Fournier P, Jones T, Davis E. 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 View
  60. Almohanna A, Win K, 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 View
  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 View
  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 View
  63. Ribaut J, DeVito Dabbs A, Dobbels F, Teynor A, Mess E, Hoffmann T, De Geest S. 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 View
  64. Lozano C, Canty E, Saha S, Broyles S, Beyl R, Apolzan J, Martin C. 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 View
  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 View
  66. Braun M, Carlier S, De Backere F, Van De Velde M, De Turck F, Crombez G, De Paepe A. Identifying app components that promote physical activity: a group concept mapping study. PeerJ 2024;12:e17100 View
  67. Naik P, Álamo-Junquera D, Igual L, Serrajordi M, Pérez A, Pericas C, Pagès-Fernández C, Katapally T, Grau M. A Sustainable mHealth Intervention to Promote Physical Activity for Healthy Aging: A Pilot Study of the “Every Walk You Take” Citizen Science Initiative. Sustainability 2024;16(13):5338 View
  68. Geng Z, Wang J, Lyu W, Li X, Ye W, Zheng W, Yang J, Ning L, Cai L, Liu Y, Zhang Y, Wu F, Yuan C. Effectiveness of a theory-based tailored mHealth physical activity intervention for women undergoing chemotherapy for breast cancer: A quasi-experimental study. International Journal of Nursing Sciences 2024;11(4):405 View
  69. Sharma V, Payal R, Dutta K, Poulose J, Kapse M. A comprehensive examination of factors influencing intention to continue usage of health and fitness apps: a two-stage hybrid SEM-ML analysis. Cogent Business & Management 2024;11(1) View
  70. Cuevas-Castro C, Valencia-Falcón T, Rangel-Colmenero B. Uso de aplicaciones móviles en la actividad física: teoría de la tecnología persuasiva. Revista Ciencia UANL 2024;27(127):8 View

Books/Policy Documents

  1. Liao D. Biofeedback. View
  2. Koskivaara E. Digital Services and Information Intelligence. View
  3. Ferriere M. Prescription des Activités Physiques. View
  4. L. Yurchenko A, O. Zamulina M. Contemporary Advances in Sports Science. View
  5. Silva T, Alves F, Pacheco F, Paiva S, Pereira A. IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges. View