Published on in Vol 18, No 6 (2016): Jun

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study

Journals

  1. Celis-Morales C, Livingstone K, Petermann-Rocha F, Navas-Carretero S, San-Cristobal R, O'Donovan C, Moschonis G, Manios Y, Traczyk I, Drevon C, Daniel H, Marsaux C, Saris W, Fallaize R, Macready A, Lovegrove J, Gibney M, Gibney E, Walsh M, Brennan L, Martinez J, Mathers J. Frequent Nutritional Feedback, Personalized Advice, and Behavioral Changes: Findings from the European Food4Me Internet-Based RCT. American Journal of Preventive Medicine 2019;57(2):209 View
  2. Fallaize R, Celis-Morales C, Macready A, Marsaux C, Forster H, O’Donovan C, Woolhead C, San-Cristobal R, Kolossa S, Hallmann J, Mavrogianni C, Surwillo A, Livingstone K, Moschonis G, Navas-Carretero S, Walsh M, Gibney E, Brennan L, Bouwman J, Grimaldi K, Manios Y, Traczyk I, Drevon C, Martinez J, Daniel H, Saris W, Gibney M, Mathers J, Lovegrove J. The effect of the apolipoprotein E genotype on response to personalized dietary advice intervention: findings from the Food4Me randomized controlled trial. The American Journal of Clinical Nutrition 2016;104(3):827 View
  3. van Ommen B, van den Broek T, de Hoogh I, van Erk M, van Someren E, Rouhani-Rankouhi T, Anthony J, Hogenelst K, Pasman W, Boorsma A, Wopereis S. Systems biology of personalized nutrition. Nutrition Reviews 2017;75(8):579 View
  4. San-Cristobal R, Navas-Carretero S, Celis-Morales C, Livingstone K, Stewart-Knox B, Rankin A, Macready A, Fallaize R, O’Donovan C, Forster H, Woolhead C, Walsh M, Lambrinou C, Moschonis G, Manios Y, Jarosz M, Daniel H, Gibney E, Brennan L, Gundersen T, Drevon C, Gibney M, Marsaux C, Saris W, Lovegrove J, Frewer L, Mathers J, Martinez J. Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  5. Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O’Donovan C, Moschonis G, Manios Y, Traczyk I, Gundersen T, Drevon C, Marsaux C, Fallaize R, Macready A, Daniel H, Saris W, Lovegrove J, Gibney M, Gibney E, Walsh M, Brennan L, Martinez J, Mathers J. Characteristics of participants who benefit most from personalised nutrition: findings from the pan-European Food4Me randomised controlled trial. British Journal of Nutrition 2020;123(12):1396 View
  6. Franco R, Fallaize R, Hwang F, Lovegrove J. Strategies for online personalised nutrition advice employed in the development of the eNutri web app. Proceedings of the Nutrition Society 2019;78(3):407 View
  7. Macready A, Fallaize R, Butler L, Ellis J, Kuznesof S, Frewer L, Celis-Morales C, Livingstone K, Araújo-Soares V, Fischer A, Stewart-Knox B, Mathers J, Lovegrove J. Application of Behavior Change Techniques in a Personalized Nutrition Electronic Health Intervention Study: Protocol for the Web-Based Food4Me Randomized Controlled Trial. JMIR Research Protocols 2018;7(4):e87 View
  8. O’Donovan C, Walsh M, Forster H, Woolhead C, Celis-Morales C, Fallaize R, Macready A, Marsaux C, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou C, Moschonis G, Godlewska M, Surwillo A, Bouwman J, Grimaldi K, Traczyk I, Drevon C, Daniel H, Manios Y, Martinez J, Saris W, Lovegrove J, Mathers J, Gibney M, Brennan L, Gibney E. The impact of MTHFR 677C → T risk knowledge on changes in folate intake: findings from the Food4Me study. Genes & Nutrition 2016;11(1) View
  9. O’Donovan C, Walsh M, Woolhead C, Forster H, Celis-Morales C, Fallaize R, Macready A, Marsaux C, Navas-Carretero S, Rodrigo San-Cristobal S, Kolossa S, Tsirigoti L, Mvrogianni C, Lambrinou C, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Drevon C, Daniel H, Manios Y, Martinez J, Saris W, Lovegrove J, Mathers J, Gibney M, Gibney E, Brennan L. Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study. British Journal of Nutrition 2017;118(8):561 View
  10. Fallaize R, Livingstone K, Celis-Morales C, Macready A, San-Cristobal R, Navas-Carretero S, Marsaux C, O’Donovan C, Kolossa S, Moschonis G, Walsh M, Gibney E, Brennan L, Bouwman J, Manios Y, Jarosz M, Martinez J, Daniel H, Saris W, Gundersen T, Drevon C, Gibney M, Mathers J, Lovegrove J. Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study. Nutrients 2018;10(1):49 View
  11. Araujo Almeida V, Littlejohn P, Cop I, Brown E, Afroze R, Davison K. Comparison of Nutrigenomics Technology Interface Tools for Consumers and Health Professionals: A Sequential Explanatory Mixed Methods Investigation. Journal of Medical Internet Research 2019;21(6):e12580 View
  12. Verma M, Hontecillas R, Tubau-Juni N, Abedi V, Bassaganya-Riera J. Challenges in Personalized Nutrition and Health. Frontiers in Nutrition 2018;5 View
  13. Hillesheim E, Brennan L. Optimisation of a targeted approach to the delivery of personalised dietary advice. Proceedings of the Nutrition Society 2020;79(OCE2) View
  14. Skinner A, Toumpakari Z, Stone C, Johnson L. Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology. Frontiers in Nutrition 2020;7 View
  15. Rollo M, Haslam R, Collins C. Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial. Nutrients 2020;12(11):3334 View
  16. Hillesheim E, Ryan M, Gibney E, Roche H, Brennan L. Optimisation of a metabotype approach to deliver targeted dietary advice. Nutrition & Metabolism 2020;17(1) View
  17. Xiao Y, Zhai Q, Zhang H, Chen W, Hill C. Gut Colonization Mechanisms of Lactobacillus and Bifidobacterium: An Argument for Personalized Designs. Annual Review of Food Science and Technology 2021;12(1):213 View
  18. Polka E, Childs E, Friedman A, Tomsho K, Claus Henn B, Scammell M, Milando C. MCR: Open-Source Software to Automate Compilation of Health Study Report-Back. International Journal of Environmental Research and Public Health 2021;18(11):6104 View
  19. Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O’Donovan C, Moschonis G, Manios Y, Traczyk I, Gundersen T, Drevon C, Marsaux C, Fallaize R, Macready A, Daniel H, Saris W, Lovegrove J, Gibney M, Gibney E, Walsh M, Brennan L, Martinez J, Mathers J. Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  20. Almendrales Rangel C, Noble Y, Radd-Vagenas S, Mavros Y, Flood V, O’Leary F, Brodaty H, Sachdev P, Heffernan M, Valenzuela M, Anstey K, Daniel K, Ginige J, San Jose J, Chau T, Garnés Rancurello S, Fiatarone Singh M. Nutrition Module design in Maintain Your Brain: an internet-based randomised controlled trial to prevent cognitive decline and dementia. British Journal of Nutrition 2022;127(8):1259 View
  21. van der Haar S, Hoevenaars F, van den Brink W, van den Broek T, Timmer M, Boorsma A, Doets E. Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study. JMIR Formative Research 2021;5(6):e25043 View
  22. Kaiser B, Stelzl T, Finglas P, Gedrich K. The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences. JMIR Formative Research 2022;6(8):e34497 View
  23. Murakami K, Shinozaki N, Masayasu S, Livingstone M. Web-Based Personalized Nutrition System for Delivering Dietary Feedback Based on Behavior Change Techniques: Development and Pilot Study among Dietitians. Nutrients 2021;13(10):3391 View
  24. Henriksen H, Knudsen M, Carlsen M, Hjartåker A, Blomhoff R. A Short Digital Food Frequency Questionnaire (DIGIKOST-FFQ) Assessing Dietary Intake and Other Lifestyle Factors Among Norwegians: Qualitative Evaluation With Focus Group Interviews and Usability Testing. JMIR Formative Research 2022;6(11):e35933 View
  25. Chen X, Cheng G, Wang F, Tao X, Xie H, Xu L. Machine and cognitive intelligence for human health: systematic review. Brain Informatics 2022;9(1) View
  26. O’Hara C, O’Sullivan A, Gibney E. A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data. The Journal of Nutrition 2022;152(10):2297 View
  27. Shyam S, Lee K, Tan A, Khoo T, Harikrishnan S, Lalani S, Ramadas A. Effect of Personalized Nutrition on Dietary, Physical Activity, and Health Outcomes: A Systematic Review of Randomized Trials. Nutrients 2022;14(19):4104 View
  28. de Hoogh I, Reinders M, Doets E, Hoevenaars F, Top J. Design Issues in Personalized Nutrition Advice Systems. Journal of Medical Internet Research 2023;25:e37667 View
  29. Xu Z, Gu Y, Xu X, Topaz M, Guo Z, Kang H, Sun L, Li J. Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study. JMIR Formative Research 2024;8:e52170 View

Books/Policy Documents

  1. Braconi D, Cicaloni V, Spiga O, Santucci A. Trends in Personalized Nutrition. View