Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22587, first published .
Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis

Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis

Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis

Journals

  1. Kahnbach L, Lehr D, Brandenburger J, Mallwitz T, Jent S, Hannibal S, Funk B, Janneck M. Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps. Journal of Medical Internet Research 2021;23(6):e27989 View
  2. Park J, Norman G, Klasnja P, Rivera D, Hekler E. Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study. JMIR mHealth and uHealth 2023;11:e44296 View
  3. Domhardt M, Messner E, Eder A, Engler S, Sander L, Baumeister H, Terhorst Y. Mobile-based interventions for common mental disorders in youth: a systematic evaluation of pediatric health apps. Child and Adolescent Psychiatry and Mental Health 2021;15(1) View
  4. De Santis K, Jahnel T, Sina E, Wienert J, Zeeb H. Digitization and Health in Germany: Cross-sectional Nationwide Survey. JMIR Public Health and Surveillance 2021;7(11):e32951 View
  5. Dias S, Oikonomidis Y, Diniz J, Baptista F, Carnide F, Bensenousi A, Botana J, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis L. Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach. Frontiers in Nutrition 2022;9 View
  6. Mendi O, Kiymac Sari M, Stoyanov S, Mendi B. Development and validation of the Turkish version of the Mobile App Rating Scale – MARS-TR. International Journal of Medical Informatics 2022;166:104843 View
  7. Gonzales A, Custodio R, Lapitan M, Ladia M. Mobile applications in the Philippines during the COVID-19 pandemic: systematic search, use case mapping, and quality assessment using the Mobile App Rating Scale (MARS). BMC Digital Health 2023;1(1) View
  8. Hohberg V, Fuchs R, Gerber M, Künzler D, Paganini S, Faude O. Blended Care Interventions to Promote Physical Activity: A Systematic Review of Randomized Controlled Trials. Sports Medicine - Open 2022;8(1) View
  9. Paganini S, Meier E, Terhorst Y, Wurst R, Hohberg V, Schultchen D, Strahler J, Wursthorn M, Baumeister H, Messner E. Stress Management Apps: Systematic Search and Multidimensional Assessment of Quality and Characteristics. JMIR mHealth and uHealth 2023;11:e42415 View
  10. Roystonn K, AshaRani P, Devi F, Wang P, Zhang Y, Jeyagurunathan A, Abdin E, Car L, Chong S, Subramaniam M. Exploring views and experiences of the general public’s adoption of digital technologies for healthy lifestyle in Singapore: a qualitative study. Frontiers in Public Health 2023;11 View
  11. Chembakottu B, Li H, Khomh F. A large-scale exploratory study of android sports apps in the google play store. Information and Software Technology 2023;164:107321 View
  12. Martín F, García-Fernández J, Valcarce-Torrente M, Bernal-García A, Gálvez-Ruiz P, Angosto-Sánchez S. Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age. Frontiers in Public Health 2023;11 View
  13. 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
  14. Oba T, Takano K, Katahira K, Kimura K. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR mHealth and uHealth 2023;11:e49148 View
  15. Toïgo M, Marc J, Hayot M, Moulis L, Carbonnel F. Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search. JMIR mHealth and uHealth 2024;12:e54866 View
  16. Regan C, Rosen P, Andermo S, Hagströmer M, Johansson U, Rossen J. The acceptability, usability, engagement and optimisation of a mHealth service promoting healthy lifestyle behaviours: A mixed method feasibility study. DIGITAL HEALTH 2024;10 View
  17. Watson-Mackie K, Arundell L, Lander N, McKay F, Jerebine A, Venetsanou F, Barnett L. Technology-Supported Physical Activity and Its Potential as a Tool to Promote Young Women’s Physical Activity and Physical Literacy: Systematic Review. Journal of Medical Internet Research 2024;26:e52302 View
  18. Borges P, Sampaio R, Dias J, Mancini M, Ocarino J, Resende R. App-based telerehabilitation program for older adults on waiting list for physiotherapy after hospital discharge: a feasibility pragmatic randomized trial. Pilot and Feasibility Studies 2024;10(1) View
  19. Liu M, Wu X, Li Z, Tan D, Huang C. Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2024;12:e53805 View
  20. Konishi N, Oba T, Takano K, Katahira K, Kimura K. What Functions of Smartphone Apps and Wearable Devices Promote Physical Activity?: Six-Month Longitudinal Study on Japanese-Speaking Adults (Preprint). JMIR mHealth and uHealth 2024 View

Books/Policy Documents

  1. Küchler A, Ebert D, Baumeister H. Digitale Gesundheitsinterventionen. View