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

Mobile Health (mhealth) (2765) mHealth for Wellness, Behavior Change and Prevention (2743) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362)

Published on in Vol 19, No 6 (2017): June

Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps

Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps

Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps

Authors of this article:

Quinn Grundy1 Author Orcid Image ;   Fabian P Held2 Author Orcid Image ;   Lisa A Bero1 Author Orcid Image
Article Authors Cited by (34) Tweetations (33) Metrics

Journals

  1. Dinh-Le C, Chuang R, Chokshi S, Mann D. Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions. JMIR mHealth and uHealth 2019;7(9):e12861 View
  2. Grundy Q, Chiu K, Bero L. Commercialization of User Data by Developers of Medicines-Related Apps: a Content Analysis. Journal of General Internal Medicine 2019;34(12):2833 View
  3. Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11) View
  4. Laurie G. Cross-Sectoral Big Data. Asian Bioethics Review 2019;11(3):327 View
  5. Vickey T, Breslin J. Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets. JMIR Public Health and Surveillance 2017;3(4):e82 View
  6. Salazar A, de Sola H, Failde I, Moral-Munoz J. Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale. JMIR mHealth and uHealth 2018;6(10):e10718 View
  7. Flors-Sidro J, Househ M, Abd-Alrazaq A, Vidal-Alaball J, Fernandez-Luque L, Sanchez-Bocanegra C. Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps. JMIR Diabetes 2021;6(1):e16146 View
  8. Shaw J, Rudzicz F, Jamieson T, Goldfarb A. Artificial Intelligence and the Implementation Challenge. Journal of Medical Internet Research 2019;21(7):e13659 View
  9. Nurgalieva L, O'Callaghan D, Doherty G. Security and Privacy of mHealth Applications: A Scoping Review. IEEE Access 2020;8:104247 View
  10. Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219 View
  11. Khan S, Aziz T. Transcending the brain: is there a cost to hacking the nervous system?. Brain Communications 2019;1(1) View
  12. Ellahham S, Ellahham N, Simsekler M. Application of Artificial Intelligence in the Health Care Safety Context: Opportunities and Challenges. American Journal of Medical Quality 2020;35(4):341 View
  13. Schultchen D, Terhorst Y, Holderied T, Stach M, Messner E, Baumeister H, Sander L. Stay Present with Your Phone: A Systematic Review and Standardized Rating of Mindfulness Apps in European App Stores. International Journal of Behavioral Medicine 2021;28(5):552 View
  14. Cole H. The organ supply chain: Geography and the inequalities of transplant logistics. Transactions of the Institute of British Geographers 2021;46(4):1008 View
  15. Sanmarchi F, Toscano F, Fattorini M, Bucci A, Golinelli D. Distributed Solutions for a Reliable Data-Driven Transformation of Healthcare Management and Research. Frontiers in Public Health 2021;9 View
  16. Grundy Q. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117 View
  17. Sun Y, Zhou J, Ji M, Pei L, Wang Z. Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping. Journal of Medical Internet Research 2023;25:e38184 View
  18. Xue Z, Li Q, Zeng X. Social media user behavior analysis applied to the fashion and apparel industry in the big data era. Journal of Retailing and Consumer Services 2023;72:103299 View
  19. Vermeulen E, Grobbelaar S. The structure and information spread capability of the network formed by integrated fitness apps. Information Technology & People 2022;35(8):311 View
  20. Alhajri M, Rudolph C, Shahraki A. A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context. IEEE Access 2022;10:22960 View
  21. R. B, Shome S, Shankar A, Pani S. Consumer privacy in smartphones: a systematic literature review. Journal of Consumer Marketing 2024;41(1):1 View
  22. Gioia S, Vlasac I, Babazadeh D, Fryou N, Do E, Love J, Robbins R, Dashti H, Lane J. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858 View
  23. Jantraporn R, Kian A, Collins M, Baden M, Mendez E, Wehlage J, Wolf E, Austin R. Evaluation of Mobile Health Cycle Tracking Applications Privacy, Security, and Data Sharing Practices. CIN: Computers, Informatics, Nursing 2023;41(9):629 View
  24. Cai T, Yuan C. Iron triangle framework for the health recommender system: perspectives from intelligent care. Interdisciplinary Nursing Research 2023;2(2):65 View
  25. Garcia-Lopez A, Girón-Luque F, Rosselli D. La integración de la inteligencia artificial en la atención médica: desafíos éticos y de implementación. Universitas Médica 2023;64(3) View
  26. Gilbert S, Baca-Motes K, Quer G, Wiedermann M, Brockmann D. Citizen data sovereignty is key to wearables and wellness data reuse for the common good. npj Digital Medicine 2024;7(1) View

Books/Policy Documents

  1. Ebben M, Murphy J. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. View
  2. Ebben M, Murphy J. Research Anthology on Privatizing and Securing Data. View
  3. Nurgalieva L, Doherty G. Digital Therapeutics for Mental Health and Addiction. View
  4. Duan C, Morten C. Digital Health Care outside of Traditional Clinical Settings. View