Published on in Vol 6, No 3 (2018): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9069, first published .
Quality of Publicly Available Physical Activity Apps: Review and Content Analysis

Quality of Publicly Available Physical Activity Apps: Review and Content Analysis

Quality of Publicly Available Physical Activity Apps: Review and Content Analysis

Journals

  1. Simões P, Silva A, Amaral J, Queirós A, Rocha N, Rodrigues M. Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search in App Stores. JMIR mHealth and uHealth 2018;6(10):e11281 View
  2. Wang G, Zhou S, Rezaei S, Liu X, Huang A. An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study. JMIR mHealth and uHealth 2019;7(10):e14926 View
  3. Petersen J, Kemps E, Lewis L, Prichard I. Associations Between Commercial App Use and Physical Activity: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(6):e17152 View
  4. Benjumea J, Ropero J, Rivera-Romero O, Dorronzoro-Zubiete E, Carrasco A. Privacy Assessment in Mobile Health Apps: Scoping Review. JMIR mHealth and uHealth 2020;8(7):e18868 View
  5. Lee J, Woo H. Quality evaluation of smartphone applications for physical activity promotion. Korean Journal of Health Education and Promotion 2019;36(4):67 View
  6. Lee A, Chavez S, Bian J, Thompson L, Gurka M, Williamson V, Modave F. Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review. JMIR mHealth and uHealth 2019;7(2):e11847 View
  7. Tiffany B, Blasi P, Catz S, McClure J. Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis. JMIR mHealth and uHealth 2018;6(9):e11432 View
  8. Tavares B, Pires I, Marques G, Garcia N, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343 View
  9. McKay F, Wright A, Shill J, Stephens H, Uccellini M. Using Health and Well-Being Apps for Behavior Change: A Systematic Search and Rating of Apps. JMIR mHealth and uHealth 2019;7(7):e11926 View
  10. Arigo D, Brown M, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642 View
  11. Martínez A, Brunauer R, Venek V, Snyder C, Jahnel R, Buchecker M, Thorwartl C, Stöggl T. Development and Validation of a Gyroscope-Based Turn Detection Algorithm for Alpine Skiing in the Field. Frontiers in Sports and Active Living 2019;1 View
  12. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
  13. Huang Z, Lum E, Car J. Medication Management Apps for Diabetes: Systematic Assessment of the Transparency and Reliability of Health Information Dissemination. JMIR mHealth and uHealth 2020;8(2):e15364 View
  14. 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
  15. Murphy J, Uttamlal T, Schmidtke K, Vlaev I, Taylor D, Ahmad M, Alsters S, Purkayastha P, Scholtz S, Ramezani R, Ahmed A, Chahal H, Darzi A, Blakemore A. Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development. BMC Medical Informatics and Decision Making 2020;20(1) View
  16. Mizdrak A, Telfer K, Direito A, Cobiac L, Blakely T, Cleghorn C, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014 View
  17. Benjumea J, Ropero J, Rivera-Romero O, Dorronzoro-Zubiete E, Carrasco A. Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps. JMIR mHealth and uHealth 2020;8(7):e17134 View
  18. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
  19. Ng K, Kokko S, Tammelin T, Kallio J, Belton S, O'Brien W, Murphy M, Powell C, Woods C. Clusters of Adolescent Physical Activity Tracker Patterns and Their Associations With Physical Activity Behaviors in Finland and Ireland: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e18509 View
  20. Nurgalieva L, O'Callaghan D, Doherty G. Security and Privacy of mHealth Applications: A Scoping Review. IEEE Access 2020;8:104247 View
  21. Loughran M, Lyons S, Plack C, Armitage C. Which interventions increase hearing protection behaviors during noisy recreational activities? A systematic review. BMC Public Health 2020;20(1) View
  22. Baretta D, Perski O, Steca P. Exploring Users’ Experiences of the Uptake and Adoption of Physical Activity Apps: Longitudinal Qualitative Study. JMIR mHealth and uHealth 2019;7(2):e11636 View
  23. 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
  24. Olsen S, Saperstein S, Gold R. Content and Feature Preferences for a Physical Activity App for Adults with Physical Disabilities: Focus Group Findings (Preprint). JMIR mHealth and uHealth 2019 View
  25. Alessa T, Hawley M, Hock E, de Witte L. Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth 2019;7(5):e13645 View
  26. Martin Payo R, Fernandez Álvarez M, Blanco Díaz M, Cuesta Izquierdo M, Stoyanov S, Llaneza Suárez E. Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire. International Journal of Medical Informatics 2019;129:95 View
  27. Friel C, Garber C. Who Uses Wearable Activity Trackers and Why? A Comparison of Former and Current Users in the United States. American Journal of Health Promotion 2020;34(7):762 View
  28. Bearne L, Sekhon M, Grainger R, La A, Shamali M, Amirova A, Godfrey E, White C. Smartphone Apps Targeting Physical Activity in People With Rheumatoid Arthritis: Systematic Quality Appraisal and Content Analysis. JMIR mHealth and uHealth 2020;8(7):e18495 View
  29. Honary M, Bell B, Clinch S, Wild S, McNaney R. Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR mHealth and uHealth 2019;7(6):e14239 View
  30. Khamzina M, Parab K, An R, Bullard T, Grigsby-Toussaint D. Impact of Pokémon Go on Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(2):270 View
  31. Boehme P, Hansen A, Roubenoff R, Scheeren J, Herrmann M, Mondritzki T, Ehlers J, Truebel H. How soon will digital endpoints become a cornerstone for future drug development?. Drug Discovery Today 2019;24(1):16 View
  32. Direito A, Tooley M, Hinbarji M, Albatal R, Jiang Y, Whittaker R, Maddison R. Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention. Telemedicine and e-Health 2020;26(4):426 View
  33. Dunphy E, Gardner E. Telerehabilitation to Address the Rehabilitation Gap in Anterior Cruciate Ligament Care: Survey of Patients. JMIR Formative Research 2020;4(9):e19296 View
  34. Carlin A, Logue C, Flynn J, Murphy M, Gallagher A. Development and Feasibility of a Family-Based Health Behavior Intervention Using Intelligent Personal Assistants: Randomized Controlled Trial. JMIR Formative Research 2021;5(1):e17501 View
  35. Paganini S, Terhorst Y, Sander L, Catic S, Balci S, Küchler A, Schultchen D, Plaumann K, Sturmbauer S, Krämer L, Lin J, Wurst R, Pryss R, Baumeister H, Messner E. Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e22587 View
  36. Rubin D, Rich Severin , Arena R, Bond S. Leveraging technology to move more and sit less. Progress in Cardiovascular Diseases 2021;64:55 View
  37. D'Addario M, Baretta D, Zanatta F, Greco A, Steca P. Engagement Features in Physical Activity Smartphone Apps: Focus Group Study With Sedentary People. JMIR mHealth and uHealth 2020;8(11):e20460 View
  38. Brown M, Araújo-Soares V, Skinner R, Glaser A, Sarwar N, Saxton J, Montague K, Hall J, Burns O, Sharp L. Using qualitative and co-design methods to inform the development of an intervention to support and improve physical activity in childhood cancer survivors: a study protocol for BEing Active after ChildhOod caNcer (BEACON). BMJ Open 2020;10(12):e041073 View
  39. Wiemeyer J. Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework. International Journal of Computer Science in Sport 2019;18(3):12 View
  40. Radcliffe E, Lippincott B, Anderson R, Jones M. A Pilot Evaluation of mHealth App Accessibility for Three Top-Rated Weight Management Apps by People with Disabilities. International Journal of Environmental Research and Public Health 2021;18(7):3669 View
  41. Resnick D, Schapira M, Smith J, Bautista A, Xu C, Jones L, Aysola J. Promoting Collaborative Goal Setting for Cancer Prevention Among Primary Care Patients Through mHealth: Mixed Methods Evaluation of a New App. JMIR Formative Research 2021;5(7):e22510 View
  42. Chandrasekaran B, Kundapur P, Rao C. Are free workplace health promotion apps adequately mapped with behavior change theories, techniques and desired features? A content analysis. Translational Behavioral Medicine 2021;11(8):1507 View
  43. Petersen J, Kemps E, Lewis L, Prichard I. Promoting physical activity during the COVID-19 lockdown in Australia: The roles of psychological predictors and commercial physical activity apps. Psychology of Sport and Exercise 2021;56:102002 View
  44. Gasteiger N, Dowding D, Ali S, Scott A, Wilson P, van der Veer S. Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps. Journal of the American Medical Informatics Association 2021;28(9):2027 View
  45. Chen Y, Ji M, Wu Y, Deng Y, Wu F, Lu Y. Individualized mobile health interventions for cardiovascular event prevention in patients with coronary heart disease: study protocol for the iCARE randomized controlled trial. BMC Cardiovascular Disorders 2021;21(1) View
  46. Schroeder T, Haug M, Gewald H. Data Privacy Concerns Using mHealth Apps and Smart Speakers: Comparative Interview Study Among Mature Adults. JMIR Formative Research 2022;6(6):e28025 View
  47. Randine P, Sharma A, Hartvigsen G, Johansen H, Årsand E. Information and communication technology-based interventions for chronic diseases consultation: Scoping review. International Journal of Medical Informatics 2022;163:104784 View
  48. Mateo-Orcajada A, Abenza-Cano L, Albaladejo-Saura M, Vaquero-Cristóbal R. Mandatory after-school use of step tracker apps improves physical activity, body composition and fitness of adolescents. Education and Information Technologies 2023;28(8):10235 View
  49. Gasteiger N, Vercell A, Davies A, Dowding D, Khan N, Davies A. Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality. Journal of Community Genetics 2022;13(2):171 View
  50. Hayman M, Alfrey K, Waters K, Cannon S, Mielke G, Keating S, Mena G, Mottola M, Evenson K, Davenport M, Barlow S, Budzynski-Seymour E, Comardelle N, Dickey M, Harrison C, Kebbe M, Moholdt T, Moran L, Nagpal T, Schoeppe S, Alley S, Brown W, Williams S, Vincze L. Evaluating Evidence-Based Content, Features of Exercise Instruction, and Expert Involvement in Physical Activity Apps for Pregnant Women: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2022;10(1):e31607 View
  51. Lazarevic N, Lecoq M, Bœhm C, Caillaud C. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia. International Journal of Environmental Research and Public Health 2023;20(2):1012 View
  52. Rondina R, Hong M, Sarma S, Mitchell M. Is it worth it? Cost-effectiveness analysis of a commercial physical activity app. BMC Public Health 2021;21(1) View
  53. Chakraborty D, Paul J. Healthcare apps’ purchase intention: A consumption values perspective. Technovation 2023;120:102481 View
  54. Chan A, Chan D, Lee H, Ng C, Yeo A. Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review. International Journal of Medical Informatics 2022;160:104696 View
  55. Alfawzan N, Christen M, Spitale G, Biller-Andorno N. Privacy, Data Sharing, and Data Security Policies of Women’s mHealth Apps: Scoping Review and Content Analysis. JMIR mHealth and uHealth 2022;10(5):e33735 View
  56. Elnaggar A, von Oppenfeld J, Whooley M, Merek S, Park L. Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study. JMIR Human Factors 2021;8(3):e25356 View
  57. Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, Hunt S. System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. JMIR mHealth and uHealth 2022;10(8):e37290 View
  58. Grundy Q. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117 View
  59. Butler S, Sculley D, Santos D, Fellas A, Gironès X, Singh-Grewal D, Coda A. Effectiveness of eHealth and mHealth Interventions Supporting Children and Young People Living With Juvenile Idiopathic Arthritis: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(2):e30457 View
  60. Western M, Armstrong M, Islam I, Morgan K, Jones U, Kelson M. The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  61. Grout L, Telfer K, Wilson N, Cleghorn C, Mizdrak A. Prescribing Smartphone Apps for Physical Activity Promotion in Primary Care: Modeling Study of Health Gain and Cost Savings. Journal of Medical Internet Research 2021;23(12):e31702 View
  62. Resnick D, Kearney M, Smith J, Bautista A, Jones L, Schapira M, Aysola J. Designing a Cancer Prevention Collaborative Goal-Setting Mobile App for Non-Hispanic Black Primary Care Patients: An Iterative, Qualitative Patient-Led Process. JMIR Formative Research 2022;6(3):e28157 View
  63. Soltero E, Lopez C, Musaad S, O'Connor T, Thompson D. Fit24, a digital health intervention to reduce type 2 diabetes risk among Hispanic youth: Protocol for a feasibility pilot study. Contemporary Clinical Trials 2023;127:107117 View
  64. Newbold J, Rudnicka A, Cox A. Staying Active While Staying Home: The Use of Physical Activity Technologies During Life Disruptions. Frontiers in Digital Health 2021;3 View
  65. Voorheis P, Zhao A, Kuluski K, Pham Q, Scott T, Sztur P, Khanna N, Ibrahim M, Petch J. Integrating Behavioral Science and Design Thinking to Develop Mobile Health Interventions: Systematic Scoping Review. JMIR mHealth and uHealth 2022;10(3):e35799 View
  66. AlSwayied G, Guo H, Rookes T, Frost R, Hamilton F. Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature. JMIR mHealth and uHealth 2022;10(12):e40271 View
  67. Chen Y, Ji M, Wu Y, Wang Q, Deng Y, Liu Y, Wu F, Liu M, Guo Y, Fu Z, Zheng X. An Intelligent Individualized Cardiovascular App for Risk Elimination (iCARE) for Individuals With Coronary Heart Disease: Development and Usability Testing Analysis. JMIR mHealth and uHealth 2021;9(12):e26439 View
  68. KAMADA M, HAYASHI H, SHIBA K, TAGURI M, KONDO N, LEE I, KAWACHI I. Large-Scale Fandom-based Gamification Intervention to Increase Physical Activity: A Quasi-experimental Study. Medicine & Science in Sports & Exercise 2022;54(1):181 View
  69. ERCAN C. Multi-Criteria Evaluation of Mobile Fitness Applications During COVID-19 Pandemic Based on AHP. Pamukkale Journal of Sport Sciences 2023;14(1):43 View
  70. Tobin M, Jones T, Ho Y, Short C. Using photovoice to explore young women’s experiences of behaviour change techniques in physical activity mobile apps. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  71. Zhang T, Zhao J, Yu L. The Effect of Fitness Apps Usage Intensity on Exercise Adherence Among Chinese College Students: Testing a Moderated Mediation Model. Psychology Research and Behavior Management 2023;Volume 16:1485 View
  72. Bak J, Thorborg K, Clausen M, Johannsen F, Kirk J, Bandholm T, Shah J. Using the app “Injurymap” to provide exercise rehabilitation for people with acute lateral ankle sprains seen at the Hospital Emergency Department–A mixed-method pilot study. PLOS Digital Health 2023;2(5):e0000221 View
  73. Mateo-Orcajada A, Vaquero-Cristóbal R, Abenza-Cano L. Importance of training volume through the use of step trackers apps promoted from the subject of physical education to change body composition, physical fitness and physical activity in adolescents and the influence of gender✰,✰✰. Physiology & Behavior 2024;273:114402 View
  74. Berbeka J, Borodako K, Rudnicki M, Łapczyński M. The role of mobile fitness applications in student leisure activities. Journal of Leisure Research 2023;54(5):519 View
  75. Feter N, Rocha J, Leite J, Delpino F, Caputo E, Cassuriaga J, de Almeida Paz I, Silveira da Silva L, Vieira Y, Schröeder N, Nascimento da Silva C, Baptista Gonçalves J, da Costa Pereira H, Barbosa T, Reichert F, Silva M, Rombaldi A. Using digital platform for physical activity practice attenuated the trajectory of depressive symptoms during the Covid-19 pandemic: Findings of the PAMPA cohort. Mental Health and Physical Activity 2023;25:100543 View
  76. Hughes M, Chico T. How Could Sensor-Based Measurement of Physical Activity Be Used in Cardiovascular Healthcare?. Sensors 2023;23(19):8154 View
  77. Geng L, Jiang G, Yu L, Xu Y, Huang W, Chen Z, Qi X, Zhang T, Zhao M. The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques. JMIR mHealth and uHealth 2023;11:e50226 View
  78. Alnooh G, Alessa T, Noorwali E, Albar S, Williams E, de Witte L, Hawley M. Identification of the Most Suitable Mobile Apps to Support Dietary Approaches to Stop Hypertension (DASH) Diet Self-Management: Systematic Search of App Stores and Content Analysis. Nutrients 2023;15(15):3476 View
  79. Bernstein E, Wolfe E, Huguenel B, Wilhelm S. Lessons and Untapped Potential of Smartphone-Based Physical Activity Interventions for Mental Health: Narrative Review (Preprint). JMIR mHealth and uHealth 2023 View
  80. Mateo-Orcajada A, Vaquero-Cristóbal R, Abenza-Cano L. Gender and academic year as moderators of the efficacy of mobile app interventions to promote physical activity in adolescents: a randomized controlled trial. Humanities and Social Sciences Communications 2023;10(1) View
  81. Benjumea J, Ropero J, Dorronzoro-Zubiete E, Rivera-Romero O, Carrasco A. A Proposal for a Robust Validated Weighted General Data Protection Regulation-Based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: An eDelphi Study. Methods of Information in Medicine 2023;62(05/06):154 View
  82. MacPherson M, Grieve N, Gala B, Braaten K, Jung M. Development of a Small Steps for Big Changes Diabetes Prevention App: Application of the Development Phase of FASTER. Journal of Technology in Behavioral Science 2024 View

Books/Policy Documents

  1. Pálsdóttir Á. Well-Being in the Information Society. Fruits of Respect. View
  2. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  3. Brunauer R, Kremser W, Stöggl T. Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019). View
  4. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  5. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View
  6. Lodha C, Dhingra K, Mondal R, Goyal S. Smart Intelligent Computing and Applications, Volume 2. View
  7. Timko C. Verbraucherforschung zwischen Empowerment und Verletzlichkeit. View