Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13261, first published .
Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality

Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality

Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality

Journals

  1. Zhang P, He F, Li Y, Li C, Wu J, Ma J, Zhang B, Wang H, Li Y, Han J, Luo R, He J, Li X, Liu Y, Wang C, Tan M, MacGregor G, Li X. Reducing Salt Intake in China with “Action on Salt China” (ASC): Protocol for Campaigns and Randomized Controlled Trials. JMIR Research Protocols 2020;9(4):e15933 View
  2. Rodrigues A, Sousa C, Pereira J, Figueiredo I, Lima T. Mobile Applications (Apps) to Support the Hepatitis C Treatment: A Systematic Search in App Stores. Therapeutic Innovation & Regulatory Science 2021;55(1):152 View
  3. Liu Y, Avello M. Status of the research in fitness apps: A bibliometric analysis. Telematics and Informatics 2021;57:101506 View
  4. Pandit K, Wanjale K. Implementation of Nutrition based REST APIs for Health Management Applications and Testing with Automation. International Journal of Scientific Research in Science, Engineering and Technology 2020:62 View
  5. 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
  6. Nguyen M, Hossain N, Tangri R, Shah J, Agarwal P, Thompson-Hutchison F, Halperin I. Systematic Evaluation of Canadian Diabetes Smartphone Applications for People With Type 1, Type 2 and Gestational Diabetes. Canadian Journal of Diabetes 2021;45(2):174 View
  7. 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
  8. Shen C, Jiang B, Yang Q, Wang C, Lu K, Gu M, Yuan J. Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e26262 View
  9. Vasiloglou M, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S. Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mHealth and uHealth 2021;9(7):e27885 View
  10. Song Y, Chen H. Evaluating Chinese Mobile Health Apps for Ankylosing Spondylitis Management: Systematic App Search. JMIR mHealth and uHealth 2021;9(7):e27234 View
  11. Woulfe F, Fadahunsi K, Smith S, Chirambo G, Larsson E, Henn P, Mawkin M, O’ Donoghue J. Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review. JMIR mHealth and uHealth 2021;9(10):e28384 View
  12. Horiuchi Y, Kato T. A feature assessment of smartphone applications providing menus. Journal for the Integrated Study of Dietary Habits 2021;32(2):87 View
  13. Fijačko N, Masterson Creber R, Gosak L, Kocbek P, Cilar L, Creber P, Štiglic G. A Review of Mortality Risk Prediction Models in Smartphone Applications. Journal of Medical Systems 2021;45(12) View
  14. Noël R, Taramasco C, Márquez G. Standards, Processes, and Tools Used to Evaluate the Quality of Health Information Systems: Systematic Literature Review. Journal of Medical Internet Research 2022;24(3):e26577 View
  15. Ko S, Lee J, An D, Woo H. Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study. JMIR mHealth and uHealth 2023;11:e40921 View
  16. Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
  17. Guo L, Gu L, Peng Y, Gao Y, Mei L, Kang Q, Chen C, Hu Y, Xu W, Chen J. Online media exposure and weight and fitness management app use correlate with disordered eating symptoms: evidence from the mainland of China. Journal of Eating Disorders 2022;10(1) View
  18. Sun L, Buijsen M. Mobile health in China: Does it meet availability, accessibility, acceptability and quality standards?. Health Policy and Technology 2022;11(3):100660 View
  19. Yang L, Wu J, Mo X, Chen Y, Huang S, Zhou L, Dai J, Xie L, Chen S, Shang H, Rao B, Weng B, Abulimiti A, Wu S, Xie X. Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey. JMIR Public Health and Surveillance 2023;9:e40552 View
  20. Martinon P, Saliasi I, Bourgeois D, Smentek C, Dussart C, Fraticelli L, Carrouel F. Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2022;10(3):e35879 View
  21. Francis L, Spaulding E, Bloom I, Patel A, Perrin N. A systematic appraisal of the information, engagement, aesthetic and functional quality of nutrition-related smartphone apps for children and adolescents. Public Health Nutrition 2023;26(7):1368 View
  22. Batista S, Cupertino A, Cupertino A, Botelho R, Pimentel J, Cartujano-Barrera F, Ginani V. Nutrition and Diet Apps: Brazilian Panorama before and during the COVID-19 Pandemic. Nutrients 2023;15(16):3606 View
  23. Iqbal M, Nurrahmawati E, Husin H. Feasibility Evaluation of an Android-based Nutrition App (Dietducate) Among Nutritionists Using the User Version of The Mobile Apps Rating Scale (uMARS). JTIM : Jurnal Teknologi Informasi dan Multimedia 2023;5(1):1 View
  24. Yuan S, Liu M, Peng Y, Hu J, Li B, Ding X, Xie L. “Internet+Nursing Service” Mobile Apps in China App Stores: Functionality and Quality Assessment Study. JMIR mHealth and uHealth 2024;12:e52169 View
  25. Chen T, Lee S, Ma W. Attributes, Quality, and Downloads of Dementia-Related Mobile Apps for Patients With Dementia and Their Caregivers: App Review and Evaluation Study. JMIR Formative Research 2024;8:e51076 View
  26. Liang Y, Xiao R, Huang F, Lin Q, Guo J, Zeng W, Dong J. AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition. Computers in Biology and Medicine 2024;178:108711 View
  27. Sun H, Wu Y, Sun J, Zhou W, Xu Q, Hu D. Nutrition Management Miniprograms in WeChat: Evaluation of Functionality and Quality. JMIR Human Factors 2024;11:e56486 View
  28. Tan Y, Lattie E, Xiang H, Tang H, Teng Z, Qiu Y, Chen J, Wu H. Acceptability and usability of a WeChat-based intervention for depression in China: A mixed-methods study. DIGITAL HEALTH 2024;10 View
  29. Albahri O, Alamoodi A, Pamucar D, Simic V, Chen J, Mahmoud M, Albahri A, Sharaf I. Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework. Engineering Applications of Artificial Intelligence 2024;137:109191 View
  30. Fernandez-Lazaro C, Santamaría G, Fernandez Milano A, Martin-Vergel M, Fernandez-Lazaro D. Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis. JMIR mHealth and uHealth 2024;12:e52424 View