Published on in Vol 4, No 3 (2016): Jul-Sept

Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis

Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis

Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis

Authors of this article:

Sarah Zaidan 1 Author Orcid Image ;   Erin Roehrer 1 Author Orcid Image

Journals

  1. Khachian A, Fazeli M, Sabour H, Haghani H, Akhoondian G. Effects of Smartphone-based Nutritional Education on the Biochemical Indicators of Patients with Ileostomy. Iran Journal of Nursing 2019;32(118):72 View
  2. Lee Y, Cui Y, Tu M, Chen Y, Chang P. Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps. JMIR mHealth and uHealth 2018;6(4):e10173 View
  3. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40 View
  4. Peña Fernández , Youssef , Heeren , Matthys , Aerts . Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake. Applied Sciences 2019;9(13):2609 View
  5. Fakih El Khoury C, Crutzen R, Schols J, Halfens R, Karavetian M. A Dietary Mobile App for Patients Undergoing Hemodialysis: Prospective Pilot Study to Improve Dietary Intakes. Journal of Medical Internet Research 2020;22(7):e17817 View
  6. Maheu M, Nicolucci V, Pulier M, Wall K, Frye T, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3 View
  7. Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619 View
  8. Villasana M, Pires I, Sá J, Garcia N, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies. Journal of Personalized Medicine 2020;10(1):12 View
  9. Maringer M, van’t Veer P, Klepacz N, Verain M, Normann A, Ekman S, Timotijevic L, Raats M, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1) View
  10. Bardis G, Koumpouros Y, Sideris N, Voulodimos A, Doulamis N. WebGL enabled smart avatar warping for body weight animated evolution. Entertainment Computing 2019;32:100324 View
  11. Régnier F, Chauvel L. Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors. JMIR mHealth and uHealth 2018;6(4):e101 View
  12. Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients 2020;12(11):3327 View
  13. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  14. Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160 View
  15. Al-Abbadey M, Fong M, Wilde L, Ingham R, Ghio D. Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application. DIGITAL HEALTH 2021;7:205520762110149 View
  16. Ryan M. The ethics of dietary apps: Technology, health, and the capability approach. Technology in Society 2022;68:101873 View
  17. Alzahrani A, Gay V, Alturki R, AlGhamdi M, Dogra A. Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications. Journal of Healthcare Engineering 2021;2021:1 View
  18. Martin-Vicario L, Bustos Díaz J, Nicolas-Sans R, Yan Z. Weight Loss App Descriptors in App Stores: A Qualitative Analysis of the Spanish Market. Human Behavior and Emerging Technologies 2023;2023:1 View
  19. Hamideh Kerdar S, Gwiasda M, Berger B, Rathjens L, Schwarz S, Jenetzky E, Martin D. Predictors of sustained use of mobile health applications: Content analysis of user perspectives from a fever management app. DIGITAL HEALTH 2023;9:205520762311804 View
  20. Thomé C. Quantifier le corps menstrué. Réseaux 2023;N° 241(5):275 View
  21. Martin-Vicario L, Martínez-Sánchez M, Nicolas-Sans R. Factors influencing perceived usefulness of a branded weight-loss app. British Food Journal 2024;126(4):1725 View

Books/Policy Documents

  1. de Moraes Lopes M, Ferreira D, Ferreira A, da Silva G, Caetano A, Braz V. Artificial Intelligence in Precision Health. View
  2. McKain D. Chronic Stress and Its Effect on Brain Structure and Connectivity. View
  3. Marvel F, Huynh P, Martin S. Precision Medicine in Cardiovascular Disease Prevention. View
  4. Weech M, Fallaize R, Kelly E, Hwang F, Franco R, Lovegrove J. Smartphone Apps for Health and Wellness. View