Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14645, first published .
User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial

User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial

User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial

Journals

  1. Smith N, Liu S. A systematic review of the dose-response relationship between usage and outcomes of online physical activity weight-loss interventions. Internet Interventions 2020;22:100344 View
  2. Landers M, Ellis T. A Mobile App Specifically Designed to Facilitate Exercise in Parkinson Disease: Single-Cohort Pilot Study on Feasibility, Safety, and Signal of Efficacy. JMIR mHealth and uHealth 2020;8(10):e18985 View
  3. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180 View
  4. Simmich J, Mandrusiak A, Smith S, Hartley N, Russell T. A Co-Designed Active Video Game for Physical Activity Promotion in People With Chronic Obstructive Pulmonary Disease: Pilot Trial. JMIR Serious Games 2021;9(1):e23069 View
  5. Young C, Mohebbi M, Staudacher H, Kay-Lambkin F, Berk M, Jacka F, O'Neil A. Optimizing Engagement in an Online Dietary Intervention for Depression (My Food & Mood Version 3.0): Cohort Study. JMIR Mental Health 2021;8(3):e24871 View
  6. Rubin D, Rich Severin , Arena R, Bond S. Leveraging technology to move more and sit less. Progress in Cardiovascular Diseases 2021;64:55 View
  7. Boudreau F, Dagenais G, de Vries H, Walthouwer M, Côté J, Turbide G, Bourlaud A, Poirier P. Effectiveness of a web-based computer-tailored intervention promoting physical activity for adults from Quebec City: a randomized controlled trial. Health Psychology and Behavioral Medicine 2020;8(1):601 View
  8. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  9. Eicher-Miller H, Prapkree L, Palacios C. Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications. Advances in Nutrition 2021;12(3):1032 View
  10. 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
  11. Kim M, Yang J, Ahn W, Choi H. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218 View
  12. Shah L, Ding J, Spaulding E, Yang W, Lee M, Demo R, Marvel F, Martin S. Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction. Journal of Cardiovascular Translational Research 2021;14(5):951 View
  13. Mehta P, Moore S, Bull S, Kwan B. Building MedVenture – A mobile health application to improve adolescent medication adherence – Using a multidisciplinary approach and academic–industry collaboration. DIGITAL HEALTH 2021;7:205520762110198 View
  14. Li J, Yu K, Bao X, Liu X, Yao J. Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study. Journal of Medical Internet Research 2021;23(8):e29299 View
  15. Warsinsky S, Schmidt-Kraepelin M, Rank S, Thiebes S, Sunyaev A. Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING). Journal of Medical Internet Research 2021;23(9):e30390 View
  16. Cho I, Kaplanidou K, Sato S. Gamified Wearable Fitness Tracker for Physical Activity: A Comprehensive Literature Review. Sustainability 2021;13(13):7017 View
  17. Ryan J, Wiggins B, Edney S, Brinkworth G, Luscombe-March N, Carson-Chahhoud K, Taylor P, Haveman-Nies A, Cox D, Borsci S. Identifying critical features of type two diabetes prevention interventions: A Delphi study with key stakeholders. PLOS ONE 2021;16(8):e0255625 View
  18. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  19. Lavikainen P, Mattila E, Absetz P, Harjumaa M, Lindström J, Järvelä-Reijonen E, Aittola K, Männikkö R, Tilles-Tirkkonen T, Lintu N, Lakka T, van Gils M, Pihlajamäki J, Martikainen J. Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e31530 View
  20. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  21. Lisowska A, Wilk S, Peleg M. SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications. Journal of Biomedical Informatics 2023;138:104276 View
  22. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  23. Chew H. The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations. JMIR Medical Informatics 2022;10(4):e32578 View
  24. Kanai M, Toda T, Yamamoto K, Akimoto M, Hagiwara Y. A Mobile Health-Based Disease Management Program Improves Blood Pressure in People With Multiple Lifestyle-Related Diseases at Risk of Developing Vascular Disease ― A Retrospective Observational Study ―. Circulation Reports 2022;4(7):322 View
  25. Lorenzi L, Belo L, Frohlich D, Dourado V, Castro P, Gomes G. Factors related to the adoption and adherence of physical activity mobile applications by older people: a scoping review protocol. BMJ Open 2021;11(10):e052414 View
  26. Kernebeck S, Busse T, Ehlers J, Vollmar H. Adhärenz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(10):1278 View
  27. García-Estela A, Cantillo J, Angarita-Osorio N, Mur-Milà E, Anmella G, Pérez V, Vieta E, Hidalgo-Mazzei D, Colom F. Real-world Implementation of a Smartphone-Based Psychoeducation Program for Bipolar Disorder: Observational Ecological Study. Journal of Medical Internet Research 2022;24(2):e31565 View
  28. Vandelanotte C, Hooker C, Van Itallie A, Urooj A, Duncan M, Rowe R. Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study. PLOS ONE 2022;17(10):e0274975 View
  29. Fillol F, Paris L, Pascal S, Mulliez A, Roques C, Rousset S, Duclos M. Possible Impact of a 12-Month Web- and Smartphone-Based Program to Improve Long-term Physical Activity in Patients Attending Spa Therapy: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(6):e29640 View
  30. Fiedler J, Seiferth C, Eckert T, Woll A, Wunsch K. Sleep quality, valence, energetic arousal, and calmness as predictors of device-based measured physical activity during a three-week mHealth intervention. German Journal of Exercise and Sport Research 2022;52(2):237 View
  31. Madujibeya I, Lennie T, Aroh A, Chung M, Moser D. Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review. JMIR mHealth and uHealth 2022;10(8):e35657 View
  32. Maher C, Olds T, Vandelanotte C, Plotnikoff R, Edney S, Ryan J, DeSmet A, Curtis R. Gamification in a Physical Activity App: What Gamification Features Are Being Used, by Whom, and Does It Make a Difference?. Games for Health Journal 2022;11(3):193 View
  33. Coumans J, Oenema A, Bolman C, Lechner L. Use and Appreciation of a Web-Based, Computer-Tailored Diet and Physical Activity Intervention Based on the Self-determination Theory: Evaluation Study of Process and Predictors. JMIR Formative Research 2021;5(12):e22390 View
  34. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  35. Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR mHealth and uHealth 2022;10(5):e36404 View
  36. Werner N, Brown J, Loganathar P, Holden R. Quality of Mobile Apps for Care Partners of People With Alzheimer Disease and Related Dementias: Mobile App Rating Scale Evaluation. JMIR mHealth and uHealth 2022;10(3):e33863 View
  37. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  38. Kay M, Miller H, Askew S, Spaulding E, Chisholm M, Christy J, Yang Q, Steinberg D. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037 View
  39. Buller D, Pagoto S, Henry K, Baker K, Walkosz B, Hillhouse J, Berteletti J, Bibeau J. Effects of Engagement with a Social Media Campaign for Mothers to Prevent Indoor Tanning by Teens in a Randomized Trial. Journal of Health Communication 2022;27(6):394 View
  40. Murphy L, Dascombe B, Murawski B, Rayward A, Brown W, Plotnikoff R, Vandelanotte C, Holliday E, Duncan M. Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials. Journal of Activity, Sedentary and Sleep Behaviors 2023;2(1) View
  41. Kaye L, Gondalia R, Thompson A, Stempel D, Barrett M. The relationship between objective app engagement and medication adherence in asthma and COPD: a retrospective analysis. Scientific Reports 2021;11(1) View
  42. Nelson L, Spieker A, Mayberry L, McNaughton C, Greevy R. Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials. Journal of the American Medical Informatics Association 2021;29(1):128 View
  43. Tersa-Miralles C, Bravo C, Bellon F, Pastells-Peiró R, Rubinat Arnaldo E, Rubí-Carnacea F. Effectiveness of workplace exercise interventions in the treatment of musculoskeletal disorders in office workers: a systematic review. BMJ Open 2022;12(1):e054288 View
  44. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  45. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  46. Stewart C, Ranjan Y, Conde P, Rashid Z, Sankesara H, Bai X, Dobson R, Folarin A. Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study). JMIR Research Protocols 2021;10(12):e32587 View
  47. Gorny A, Chee W, Müller-Riemenschneider F. Active Use and Engagement in an mHealth Initiative Among Young Men With Obesity: Mixed Methods Study. JMIR Formative Research 2022;6(1):e33798 View
  48. Madujibeya I, Lennie T, Pelzel J, Moser D. Patients’ Experiences Using a Mobile Health App for Self-Care of Heart Failure in a Real-World Setting: Qualitative Analysis. JMIR Formative Research 2023;7:e39525 View
  49. 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
  50. Bent M, Valenzuela-Moss J, Smith K, Castillo P, Van Speybroeck A, Omar H, Antoniak K, Lin A, Wren T. Using a mobile health app in a weight management program for overweight and obese adolescents and young adults with spina bifida. The Journal of Spinal Cord Medicine 2023:1 View
  51. Bang M, Jang C, Kim H, Park J, Cho H. Mobile applications for cognitive training: Content analysis and quality review. Internet Interventions 2023;33:100632 View
  52. Monroe C, Cai B, Edney S, Jake-Schoffman D, Brazendale K, Bucko A, Armstrong B, Yang C, Turner-McGrievy G. Harnessing technology and gamification to increase adult physical activity: a cluster randomized controlled trial of the Columbia Moves pilot. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  53. Fletcher R, Regan C, Dizon J, Leigh L. Understanding Attrition in Text-Based Health Promotion for Fathers: Survival Analysis. JMIR Formative Research 2023;7:e44924 View
  54. Grady A, Pearson N, Lamont H, Leigh L, Wolfenden L, Barnes C, Wyse R, Finch M, Mclaughlin M, Delaney T, Sutherland R, Hodder R, Yoong S. The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e47987 View
  55. Edwardson C, Abell L, Clarke-Cornwell A, Dunstan D, Gray L, Healy G, Hadjiconstantinou M, Wilson P, Maylor B, Munir F, Biddle S. Implementation and engagement of the SMART Work & Life sitting reduction intervention: an exploratory analysis on intervention effectiveness. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  56. Ester M, McDonough M, Bansal M, Dreger J, Daun J, McNeely M, Luu T, Culos-Reed S. Perspectives on Ease of Use and Value of a Self-Monitoring Application to Support Physical Activity Maintenance among Individuals Living with and beyond Cancer. Current Oncology 2024;31(3):1572 View
  57. Prapkree L, Deringer R, Coccia C, Huffman F, Palacios C. Effect of using the snackability app on snack quality among US college students with overweight and obesity: A randomized controlled trial. Journal of American College Health 2024:1 View
  58. Nataletti S, Banerjee A, Macaluso R, Prokup S, Jayaraman A, Wong A. Developing a mobile exercise program for individuals with Spinal Cord Injury: Stakeholder perceptions of app features and implementation determinants. Disability and Health Journal 2024:101667 View
  59. Jakob R, Narauskas J, Fleisch E, König L, Kowatsch T. Factors associated with adherence to a public mobile nutritional health intervention: retrospective cohort study. Computers in Human Behavior Reports 2024:100445 View

Books/Policy Documents

  1. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View
  2. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View
  3. Ögel Aydın S. Handbook of Research on Cross-Disciplinary Uses of Gamification in Organizations. View