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

Wearables and MHealth Reviews (276) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Patient Education (240) mHealth for Wellness, Behavior Change and Prevention (2922)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41235, first published .
Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

Authors of this article:

Emily Salas-Groves1 Author Orcid Image ;   Shannon Galyean1 Author Orcid Image ;   Michelle Alcorn2 Author Orcid Image ;   Allison Childress1 Author Orcid Image
Article Authors Cited by (19) Tweetations (5) Metrics

Journals

  1. Romero-Tapiador S, Lacruz-Pleguezuelos B, Tolosana R, Freixer G, Daza R, Fernández-Díaz C, Aguilar-Aguilar E, Fernández-Cabezas J, Cruz-Gil S, Molina S, Crespo M, Laguna T, Marcos-Zambrano L, Vera-Rodriguez R, Fierrez J, Ramírez de Molina A, Ortega-Garcia J, Espinosa-Salinas I, Morales A, Carrillo de Santa Pau E. AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence. Database 2023;2023 View
  2. Wu Q, Wang X, Zhang J, Zhang Y, van Velthoven M. The effectiveness of a WeChat-based self-assessment with a tailored feedback report on improving complementary feeding and movement behaviour of children aged 6–20 months in rural China: a cluster randomized controlled trial. The Lancet Regional Health - Western Pacific 2023;37:100796 View
  3. SHIBAYAMA K, SAKAMOTO T, FURUSHIMA C. Mobile App-based Interventions for Patients with Noncommunicable Diseases in Japan: A Scoping Review. Asian Journal of Human Services 2023;25(0):177 View
  4. Nadjarzadeh A, Fallahzadeh A, Abasi A, Poornematy M, Farahzadi H, Fatemi Aghda S. Determining the content and needs assessment a mobile-based self-care program in infertile men. BMC Medical Informatics and Decision Making 2023;23(1) View
  5. Tu W, Yan S, Yin T, Zhang S, Xu W, Zhang P, Xu G. Mobile-based program improves healthy eating of ulcerative colitis patients: A pilot study. DIGITAL HEALTH 2023;9 View
  6. Seid A, Fufa D, Bitew Z. The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials. Frontiers in Digital Health 2024;6 View
  7. Guzman S, Melara R. Effects of Covid-19-related anxiety on overeating and weight gain in a diverse college sample. Journal of American College Health 2024:1 View
  8. Del-Valle-Soto C, López-Pimentel J, Vázquez-Castillo J, Nolazco-Flores J, Velázquez R, Varela-Aldás J, Visconti P. A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being. Sensors 2024;24(8):2429 View
  9. Carfora V, Festa S, Pompili S, Azzena I, Guidetti M, Scaglioni G, Carraro L, Lenzi M, Scatolon A, Cavazza N, Catellani P. Regulatory Fit to Enhance User Engagement with an App Promoting Healthy and Sustainable Eating. An Experimental Study to Match Regulatory Concern and Anticipated Emotions. Sustainability 2024;16(15):6388 View
  10. Liang B, Yang D, Tan F, Sun D, Li J. How psychological ownership over nutritional products affects purchase intentions of high-pressure working groups. Frontiers in Nutrition 2024;11 View
  11. He Y, Liu X, Yang X. Effects of multidimensional exercise management on self-efficacy, blood glucose control, and delivery outcomes in pregnant women with gestational diabetes mellitus. Frontiers in Physiology 2024;15 View
  12. Saliasi I, Lan R, Rhanoui M, Fraticelli L, Viennot S, Tardivo D, Clément C, du Sartz de Vigneulles B, Bernard S, Darlington-Bernard A, Dussart C, Bourgeois D, Carrouel F. French Version of the User Mobile Application Rating Scale: Adaptation and Validation Study. JMIR mHealth and uHealth 2024;12:e63776 View
  13. 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
  14. Alsahli S, Hor S. The adoption of mobile health applications by physicians during the COVID-19 pandemic in developing countries: The case of Saudi Arabia. International Journal of Information Management Data Insights 2024;4(2):100289 View
  15. Zhou Y, Li S, Huang R, Ma H, Wang A, Tang X, Pei R, Piao M. Behavior Change Techniques Used in Self-Management Interventions Based on mHealth Apps for Adults With Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2024;26:e54978 View
  16. Shibuya B, Ferreira A, Malafaia J, Barbosa L, Antunes C, Tanizaki L, Caldeira P, Tarifa A, Pimentel C. Avaliação do manejo glicêmico de usuários com diabetes em um aplicativo de saúde e bem-estar. Congresso Brasileiro de Medicina do Estilo de Vida 2024;7 View
  17. Mo P, Xie L, Lee T, Li A. Use of Behavior Change Techniques in Online HIV Prevention Programmes for Adolescents and Young People: A Systematic Review (Preprint). JMIR Public Health and Surveillance 2024 View
  18. Martin-Payo R, González-Nuevo-Vázquez C, Álvarez-Gómez E, Surendran S, Cachero-Rodríguez J, Fernandez-Alvarez M, Cudejko T. Spanish versión of The App Behavior Change Scale (ABACUS-Es): Adaptation and validation study. PLOS ONE 2024;19(12):e0314753 View

Books/Policy Documents

  1. Bergoeing M, Neyem A, Jofré P, Hernández C, Chacón J, Morales R, Giddings M. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View