Published on in Vol 19, No 3 (2017): March

Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument

Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument

Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument

Journals

  1. 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
  2. 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
  3. 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
  4. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646 View
  5. Dallinga J, Janssen M, van der Werf J, Walravens R, Vos S, Deutekom M. Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach. JMIR mHealth and uHealth 2018;6(6):e143 View
  6. 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
  7. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97 View
  8. Modave F, Guo Y, Bian J, Gurka M, Parish A, Smith M, Lee A, Buford T. Mobile Device Accuracy for Step Counting Across Age Groups. JMIR mHealth and uHealth 2017;5(6):e88 View
  9. Wang H, Liu C, Kilpatrick M, Jim H, McMillan S, Vijayakumar N, McDonald S, Padhya T, Russell J, Vondruska K, Visovsky C. Exergame Grading Scheme: Concept Development and Preliminary Psychometric Evaluations in Cancer Survivors. Rehabilitation Research and Practice 2017;2017:1 View
  10. Kennedy A, Hales S. Tools Clinicians Can Use to Help Get Patients Active. Current Sports Medicine Reports 2018;17(8):271 View
  11. Gür F, Gür G, Ayan V. The Effect of the ERVE Smartphone App on Physical Activity, Quality of Life, Self-Efficacy, and Exercise Motivation for Inactive People: A Randomized Controlled Trial. European Journal of Integrative Medicine 2020;39:101198 View
  12. Neufeld E, Seltzer R, Sazzad T, Dolezal B. A Multidomain Approach to Assessing the Convergent and Concurrent Validity of a Mobile Application When Compared to Conventional Methods of Determining Body Composition. Sensors 2020;20(21):6165 View
  13. Li A, Sun Y, Guo X, Guo F, Guo J. Understanding how and when user inertia matters in fitness app exploration: A moderated mediation model. Information Processing & Management 2021;58(2):102458 View
  14. Jasiulewicz A, Waśkowski Z. Possibilities of Brand Promotion Through Lifestyle Mobile Sports Applications. Marketing of Scientific and Research Organizations 2020;37(3):1 View
  15. 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
  16. Kariuki J, Gibbs B, Erickson K, Kriska A, Sereika S, Ogutu D, Milton H, Wagner L, Rao N, Peralta R, Bobb J, Bermudez A, Hirshfield S, Goetze T, Burke L. The feasibility and acceptability of a web-based physical activity for the heart (PATH) intervention designed to reduce the risk of heart disease among inactive African Americans: Protocol for a pilot randomized controlled trial. Contemporary Clinical Trials 2021;104:106380 View
  17. Gadde N, Yap K. Mobile Health Apps That Act as Surgical Preparatory Guides: App Store Search and Quality Evaluation. JMIR Perioperative Medicine 2021;4(2):e27037 View
  18. Vandoni M, Codella R, Pippi R, Carnevale Pellino V, Lovecchio N, Marin L, Silvestri D, Gatti A, Magenes V, Regalbuto C, Fabiano V, Zuccotti G, Calcaterra V. Combatting Sedentary Behaviors by Delivering Remote Physical Exercise in Children and Adolescents with Obesity in the COVID-19 Era: A Narrative Review. Nutrients 2021;13(12):4459 View
  19. Malinka C, von Jan U, Albrecht U. Prioritization of Quality Principles for Health Apps Using the Kano Model: Survey Study. JMIR mHealth and uHealth 2022;10(1):e26563 View
  20. Xu P, Chen J, Chang Y, Wang X, Jiang X, Griffiths M, Pakpour A, Lin C. Gender Differences in the Associations Between Physical Activity, Smartphone Use, and Weight Stigma. Frontiers in Public Health 2022;10 View
  21. Elder A, Guillen G, Isip R, Zepeda R, Lewis Z. A Deeper Look into Exercise Intensity Tracking through Mobile Applications: A Brief Report. Technologies 2023;11(3):66 View
  22. Liu J. Promoting a healthy lifestyle: exploring the role of social media and fitness applications in the context of social media addiction risk. Health Education Research 2024;39(3):272 View

Books/Policy Documents

  1. Guo Y, Bian J. Smartphone Apps for Health and Wellness. View
  2. Ren S, Shen B. Translational Informatics. View