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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (393) Innovations and Technology for Physical Activity Education (810) Instruments and Questionnaires for Physical Activity and Lifestyle (91) Fitness Trackers and Smart Pedometers/Accelerometers (606) mHealth for Wellness, Behavior Change and Prevention (3080)

Published on in Vol 6, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11281, first published .
Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search in App Stores

Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search in App Stores

Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search in App Stores

Authors of this article:

Patrícia Simões1 Author Orcid Image ;   Anabela G Silva1, 2 Author Orcid Image ;   João Amaral3 Author Orcid Image ;   Alexandra Queirós1, 4 Author Orcid Image ;   Nelson P Rocha4, 5 Author Orcid Image ;   Mário Rodrigues3, 4 Author Orcid Image
Article Authors Cited by (28) Tweetations (13) Metrics

Journals

  1. 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
  2. Rodrigues M, Santos R, Queirós A, Silva A, Amaral J, Simões P, Gonçalves J, Martins C, Pereira A, Rocha N. Supporting Better Physical Activity in a Smart City: a Framework for Suggesting and Supervising Walking Paths. Advances in Science, Technology and Engineering Systems Journal 2019;4(4):404 View
  3. Akbar S, Coiera, E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. Journal of the American Medical Informatics Association 2020;27(2):330 View
  4. 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
  5. 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
  6. 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
  7. Ferreira J, Queirós A, Silva A. Criterion validity of two mobile applications to count the number of steps in older adults with chronic pain. European Journal of Physiotherapy 2021;23(5):325 View
  8. Gkrozou F, Tsonis O, Godden M, Siafaka V, Paschopoulos M. Mobile Health (mHealth) apps focused on menopause: Are they any good?. Post Reproductive Health 2019;25(4):191 View
  9. Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal. The Open Bioinformatics Journal 2019;12(1):50 View
  10. 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
  11. Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal. The Open Bioinformatics Journal 2019;13(1):50 View
  12. Mandracchia F, Llauradó E, Tarro L, Valls R, Solà R. Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth 2020;8(9):e18339 View
  13. Silva A, Caravau H, Martins A, Almeida A, Silva T, Ribeiro Ó, Santinha G, Rocha N. Procedures of User-Centered Usability Assessment for Digital Solutions: Scoping Review of Reviews Reporting on Digital Solutions Relevant for Older Adults. JMIR Human Factors 2021;8(1):e22774 View
  14. Iribarren S, Akande T, Kamp K, Barry D, Kader Y, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563 View
  15. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  16. Dafny H, Champion S, Gebremichael L, Pearson V, Nesbitt K, de Plaza M, Bulto L, Noonan S, Hines S, Hendriks J, Clark R, Beleigoli A. Effectiveness of using activity-monitoring devices on patients with cardiovascular disease participating in cardiac rehabilitation programs: an umbrella review protocol. JBI Evidence Synthesis 2022 View
  17. McAleese D, Linardakis M, Papadaki A. Quality and Presence of Behaviour Change Techniques in Mobile Apps for the Mediterranean Diet: A Content Analysis of Android Google Play and Apple App Store Apps. Nutrients 2022;14(6):1290 View
  18. Gil-Espinosa F, Nielsen-Rodríguez A, Romance R, Burgueño R. Smartphone applications for physical activity promotion from physical education. Education and Information Technologies 2022;27(8):11759 View
  19. Ma N, Chau J, Liang W, Choi K. A review of the behaviour change techniques used in physical activity promotion or maintenance interventions in pregnant women. Midwifery 2023;117:103574 View
  20. Standen E, Rothman A. Capitalizing on the potential of mobile health applications as behavioral interventions: A research agenda for calorie‐tracking and activity‐tracking applications. Social and Personality Psychology Compass 2023;17(3) View
  21. 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
  22. 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
  23. 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
  24. Novak J, Jurkova K, Lojkaskova A, Jaklova A, Kuhnova J, Pfeiferova M, Kral N, Janek M, Omcirk D, Malisova K, Maes I, Dyck D, Wahlich C, Ussher M, Elavsky S, Cimler R, Pelclova J, Tufano J, Steffl M, Seifert B, Yates T, Harris T, Vetrovsky T. Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). BMC Public Health 2024;24(1) View
  25. Mateo-Orcajada A, Abenza-Cano L, Vaquero-Cristóbal R. Importance of perceived quality and usability of step tracker mobile apps for their use by adolescents. International Journal of Adolescence and Youth 2024;29(1) View

Books/Policy Documents

  1. Bastardo R, Pavão J, Rocha N. Information Systems and Technologies. View
  2. Bastardo R, Pavão J, Rocha N. Information Technology and Systems. View

Conference Proceedings

  1. Torres S, Santos R, Simoes P, Silva A, Rodrigues M. 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). Video Content to Support Physical Activity in Older Adults a Strategy for Content Production Centered on User Preferences View