Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34278, first published .
User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review

User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review

User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review

Journals

  1. Woldamanuel Y, Rossen J, Andermo S, Bergman P, Åberg L, Hagströmer M, Johansson U. Perspectives on Promoting Physical Activity Using eHealth in Primary Care by Health Care Professionals and Individuals With Prediabetes and Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e39474 View
  2. Watanabe K, Tsutsumi A. Workers’ perceptions of mHealth services for physical activity and mental health: A qualitative study using a text-mining method. Environmental and Occupational Health Practice 2023;5(1):n/a View
  3. Rhodes A, Pimprikar A, Baum A, Smith A, Llewellyn C. Using the Person-Based Approach to Develop a Digital Intervention Targeting Diet and Physical Activity in Pregnancy: Development Study. JMIR Formative Research 2023;7:e44082 View
  4. Ismond K, Cruz C, Limon-Miro A, Low G, Prado C, Spence J, Raman M, McNeely M, Tandon P. An open label feasibility study of a nutrition and exercise app-based solution in cirrhosis. Canadian Liver Journal 2024;7(1):5 View
  5. Braun M, Carlier S, De Backere F, Van De Velde M, De Turck F, Crombez G, De Paepe A. Identifying app components that promote physical activity: a group concept mapping study. PeerJ 2024;12:e17100 View
  6. Gabarron E, Larbi D, Rivera-Romero O, Denecke K. Human Factors in AI-Driven Digital Solutions for Increasing Physical Activity: Scoping Review. JMIR Human Factors 2024;11:e55964 View
  7. Xu X, Zhang G, Xia Y, Xie H, Ding Z, Wang H, Ma Z, Sun T. Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study. JMIR mHealth and uHealth 2024;12:e59610 View
  8. Chan K, Zhuo Y. Developing and marketing mobile health applications for low-income working adults in Hong Kong. International Journal of Pharmaceutical and Healthcare Marketing 2024 View
  9. Almohanna A, Vlahu-Gjorgievska E, Meedya S, Win K. Evaluating user perceptions of the persuasive system design in a breastfeeding mHealth app: a cross-sectional study. Behaviour & Information Technology 2024:1 View

Books/Policy Documents

  1. Almohanna A, Meedya S, Vlahu-Gjorgievska E, Win K. Persuasive Technology. View