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

mHealth for Wellness, Behavior Change and Prevention (2871) Instruments and Questionnaires for Nutrition and Food Intake (166)

Published on in Vol 6, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7796, first published .
Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial

Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial

Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial

Authors of this article:

Emily Brindal1 Author Orcid Image ;   Gilly A Hendrie1 Author Orcid Image ;   Jill Freyne2 Author Orcid Image ;   Manny Noakes1 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  2. Milne-Ives M, Lam C, De Cock C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046 View
  3. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  4. Christen T, Nagale S, Reinitz S, Narayanan S, Roy K, Allocco D, Osattin A. Using digital health technology to evaluate the impact of chocolate on blood pressure: Results from the COCOA-BP study. Cardiovascular Digital Health Journal 2020;1(2):89 View
  5. Lambrecht A, Vuillerme N, Raab C, Simon D, Messner E, Hagen M, Bayat S, Kleyer A, Aubourg T, Schett G, Hueber A, Knitza J. Quality of a Supporting Mobile App for Rheumatic Patients: Patient-Based Assessment Using the User Version of the Mobile Application Scale (uMARS). Frontiers in Medicine 2021;8 View
  6. Paquette C, Rubalcava D, Chen Y, Anand D, Daughters S. A Mobile App to Enhance Behavioral Activation Treatment for Substance Use Disorder: App Design, Use, and Integration Into Treatment in the Context of a Randomized Controlled Trial. JMIR Formative Research 2021;5(11):e25749 View
  7. Char A, Gaudel P, Kulathinal S, Kinnunen T. Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice 2022;16(3):181 View
  8. Irvin L, Madden L, Marshall P, Vince R. Digital Health Solutions for Weight Loss and Obesity: A Narrative Review. Nutrients 2023;15(8):1858 View
  9. Wang X, Wang S, Zhong L, Zhang C, Guo Y, Li M, Zhao L, Ji S, Pan J, Wu Y. Mobile-Based Platform With a Low-Calorie Dietary Intervention Involving Prepackaged Food for Weight Loss for People With Overweight and Obesity in China: Half-Year Follow-Up Results of a Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e47104 View

Books/Policy Documents

  1. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View