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

Innovations and Technology for Healthy Eating Education (414) Obesity and Nutrition as Public Health Problem (304) Obesity (75) Prevention and Health Promotion (986) Mobile Health (mhealth) (2939) Public Health (197) Web-based and Mobile Health Interventions (3297)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29088, first published .
Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial

Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial

Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial

Authors of this article:

Rodrigo Zenun Franco1 Author Orcid Image ;   Rosalind Fallaize2, 3 Author Orcid Image ;   Michelle Weech2 Author Orcid Image ;   Faustina Hwang1 Author Orcid Image ;   Julie A Lovegrove2 Author Orcid Image
Article Authors Cited by (17) Tweetations (23) Metrics

Journals

  1. Hillesheim E, Brennan L. Metabotyping: a tool for identifying subgroups for tailored nutrition advice. Proceedings of the Nutrition Society 2023;82(2):130 View
  2. Mitrofanova I, P'yankova S, Ergunova O. Trends in Science and Technological Development of market Foodnet in the Russia in Conditions of Geopolitical Turbulence. Scientific Research and Development. Economics 2022;10(6):8 View
  3. Livingstone K, Rawstorn J, Partridge S, Godrich S, McNaughton S, Hendrie G, Blekkenhorst L, Maddison R, Zhang Y, Barnett S, Mathers J, Packard M, Alston L. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  4. Hillesheim E, Yin X, Sundaramoorthy G, Brennan L. Using a Metabotype Framework to Deliver Personalized Nutrition Improves Dietary Quality and Metabolic Health Parameters: A 12‐Week Randomized Controlled Trial. Molecular Nutrition & Food Research 2023;67(10) View
  5. Hoffmann L, Egert S, Allgaier J, Kohlenberg-Müller K. Review of Validated Methods to Evaluate Diet History in Diet Therapy and Counselling: An Overview and Analysis of Screeners Based on Food-Based Dietary Guidelines. Nutrients 2023;15(21):4654 View
  6. Liu Z, Liu M, Meng J, Wang L, Chen M. A review of the interaction between diet composition and gut microbiota and its impact on associated disease. Journal of Future Foods 2024;4(3):221 View
  7. Hillesheim E, Brennan L. Distinct patterns of personalised dietary advice delivered by a metabotype framework similarly improve dietary quality and metabolic health parameters: secondary analysis of a randomised controlled trial. Frontiers in Nutrition 2023;10 View
  8. Norton V, Lovegrove J, Tindall M, Garcia J, Lignou S. Fibre4life: Investigating older adults dietary fibre preferences and the role of targeted educational materials on modulating future dietary fibre intake. Appetite 2024;192:107109 View
  9. Antwi J. Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes. Current Nutrition Reports 2023;12(4):679 View
  10. Bezzina A, Clarke E, Ashton L, Watson T, James C. Workplace Health Promotion Programs Targeting Smoking, Nutrition, Physical Activity, and Obesity in Men: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Health Education & Behavior 2024;51(1):113 View
  11. 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
  12. Lau Y, Wong S, Chee D, Ng B, Ang W, Han C, Cheng L. Technology‐delivered personalized nutrition intervention on dietary outcomes among adults with overweight and obesity: A systematic review, meta‐analysis, and meta‐regression. Obesity Reviews 2024;25(5) View
  13. Mansour S, Alkhaaldi S, Sammanasunathan A, Ibrahim S, Farhat J, Al-Omari B. Precision Nutrition Unveiled: Gene–Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management. Nutrients 2024;16(5):581 View
  14. Emeran A, Burrows R, Loyson J, Behardien M, Wiemers L, Lambert E. The Effect of Text Message-Based mHealth Interventions on Physical Activity and Weight Loss: A Systematic Review and Meta-Analysis. American Journal of Lifestyle Medicine 2024 View
  15. Bobokhidze E, Weech M, Petropoulou K, Wilson T, Pugh J, Fallaize R, Garcia-Perez I, P.-W. Lo F, R Solis A, Vickar J, Giannarou S, Mylonas G, Lo B, Lloyd A, Koulman A, Beckmann M, Draper J, Frost G, Lovegrove J. Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods. F1000Research 2024;13:1144 View
  16. Echefu G, Batalik L, Lukan A, Shah R, Nain P, Guha A, Brown S. The Digital Revolution in Medicine: Applications in Cardio-Oncology. Current Treatment Options in Cardiovascular Medicine 2025;27(1) View

Books/Policy Documents

  1. Weech M, Fallaize R, Kelly E, Hwang F, Franco R, Lovegrove J. Smartphone Apps for Health and Wellness. View