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

Research Instruments, Questionnaires, and Tools (541) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) Instruments and Questionnaires for Nutrition and Food Intake (159)

Published on in Vol 16, No 8 (2014): August

Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record

Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record

Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record

Authors of this article:

Rosalind Fallaize1 Author Orcid Image ;   Hannah Forster2 Author Orcid Image ;   Anna L Macready1 Author Orcid Image ;   Marianne C Walsh2 Author Orcid Image ;   John C Mathers3 Author Orcid Image ;   Lorraine Brennan2 Author Orcid Image ;   Eileen R Gibney2 Author Orcid Image ;   Michael J Gibney2 Author Orcid Image ;   Julie A Lovegrove1 Author Orcid Image
Article Authors Cited by (133) Tweetations (10) Metrics

Journals

  1. McCray S, Maunder K, Norris R, Moir J, MacKenzie-Shalders K. Bedside Menu Ordering System increases energy and protein intake while decreasing plate waste and food costs in hospital patients. Clinical Nutrition ESPEN 2018;26:66 View
  2. Béjar L. First evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata. Public Health Nutrition 2017;20(15):2660 View
  3. Livingstone K, Celis-Morales C, Macready A, Fallaize R, Forster H, Woolhead C, O’Donovan C, Marsaux C, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Surwiłło A, Drevon C, Manios Y, Traczyk I, Gibney E, Brennan L, Walsh M, Lovegrove J, Martinez J, Saris W, Daniel H, Gibney M, Mathers J. Characteristics of European adults who dropped out from the Food4Me Internet-based personalised nutrition intervention. Public Health Nutrition 2017;20(1):53 View
  4. Bejar L, Sharp B, García-Perea M. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208 View
  5. Fallaize R, Zenun Franco R, Pasang J, Hwang F, Lovegrove J. Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method. JMIR mHealth and uHealth 2019;7(2):e9838 View
  6. Marshall S, Livingstone K, Celis-Morales C, Forster H, Fallaize R, O’Donovan C, Woolhead C, Marsaux C, Macready A, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Drevon C, Manios Y, Traczyk I, Martínez J, Saris W, Daniel H, Gibney E, Brennan L, Walsh M, Lovegrove J, Gibney M, Mathers J. Reproducibility of the Online Food4Me Food-Frequency Questionnaire for Estimating Dietary Intakes across Europe. The Journal of Nutrition 2016;146(5):1068 View
  7. De Toro-Martín J, Arsenault B, Després J, Vohl M. Precision Nutrition: A Review of Personalized Nutritional Approaches for the Prevention and Management of Metabolic Syndrome. Nutrients 2017;9(8):913 View
  8. Zenun Franco R, Fallaize R, Lovegrove J, Hwang F, de Souza R. Online dietary intake assessment using a graphical food frequency app (eNutri): Usability metrics from the EatWellUK study. PLOS ONE 2018;13(8):e0202006 View
  9. Riordan F, McGann R, Kingston C, Perry I, Schulze M, Frost Andersen L, Geelen A, van’t Veer P, Eussen S, Van Dongen M, Wijckmans-Duysens N, Harrington J. A systematic review of methods to assess intake of saturated fat (SF) among healthy European adults and children: a DEDIPAC (Determinants of Diet and Physical Activity) study. BMC Nutrition 2018;4(1) View
  10. Navas-Carretero S, San-Cristobal R, Livingstone K, Celis-Morales C, Marsaux C, Macready A, Fallaize R, O’Donovan C, Forster H, Woolhead C, Moschonis G, Lambrinou C, Jarosz M, Manios Y, Daniel H, Gibney E, Brennan L, Walsh M, Drevon C, Gibney M, Saris W, Lovegrove J, Mathers J, Martinez J. Higher vegetable protein consumption, assessed by an isoenergetic macronutrient exchange model, is associated with a lower presence of overweight and obesity in the web-based Food4me European study. International Journal of Food Sciences and Nutrition 2019;70(2):240 View
  11. Kirwan L, Walsh M, Celis-Morales C, Marsaux C, Livingstone K, Navas-Carretero S, Fallaize R, O’Donovan C, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Manios Y, Surwillo A, Godlewska M, Traczyk I, Drevon C, Gibney M, Lovegrove J, Martinez J, Saris W, Mathers J, Gibney E, Brennan L. Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4Me study. British Journal of Nutrition 2016;116(12):2011 View
  12. 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
  13. Ferguson L, Barnett M. Why Are Omics Technologies Important to Understanding the Role of Nutrition in Inflammatory Bowel Diseases?. International Journal of Molecular Sciences 2016;17(10):1763 View
  14. Kato E, Takachi R, Ishihara J, Ishii Y, Sasazuki S, Sawada N, Iwasaki M, Shinozawa Y, Umezawa J, Tanaka J, Yokoyama Y, Kitamura K, Nakamura K, Tsugane S. Online version of the self-administered food frequency questionnaire for the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT) protocol: Relative validity, usability, and comparison with a printed questionnaire. Journal of Epidemiology 2017;27(9):435 View
  15. Gibney M, O’Sullivan A, Flynn A, Walton J, Daniel H, Manios Y, Martinez A, Saris W, Gibney E, Uzhova I. Analysis of the National Adult Nutrition Survey (Ireland) and the Food4Me Nutrition Survey Databases to Explore the Development of Food Labelling Portion Sizes for the European Union. Nutrients 2018;11(1):6 View
  16. Salvesen L, Hillesund E, Vik F, Brantsæter A, Øverby N. Reproducibility and relative validity of a newly developed web-based food-frequency questionnaire for assessment of preconception diet. BMC Nutrition 2019;5(1) View
  17. Blondin S, Mueller M, Bakun P, Choumenkovitch S, Tucker K, Economos C. Cross-Sectional Associations between Empirically-Derived Dietary Patterns and Indicators of Disease Risk among University Students. Nutrients 2015;8(1):3 View
  18. Franco R, Alawadhi B, Fallaize R, Lovegrove J, Hwang F. A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics. JMIR Human Factors 2017;4(2):e13 View
  19. Aoun C, Bou Daher R, El Osta N, Papazian T, Khabbaz L, Moran J. Reproducibility and relative validity of a food frequency questionnaire to assess dietary intake of adults living in a Mediterranean country. PLOS ONE 2019;14(6):e0218541 View
  20. 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
  21. Béjar L, García-Perea M, Reyes Ó, Vázquez-Limón E. Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults. JMIR mHealth and uHealth 2019;7(4):e11531 View
  22. Albani V, Celis‐Morales C, O'Donovan C, Walsh M, Woolhead C, Forster H, Fallaize R, Macready A, Marsaux C, Navas‐Carretero S, San‐Cristobal R, Kolossa S, Mavrogianni C, Lambrinou C, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Gundersen T, Drevon C, Daniel H, Manios Y, Martinez J, Saris W, Lovegrove J, Gibney M, Gibney E, Mathers J, Adamson A, Brennan L. Within‐person reproducibility and sensitivity to dietary change of C15:0 and C17:0 levels in dried blood spots: Data from the European Food4Me Study. Molecular Nutrition & Food Research 2017;61(10) View
  23. Smiliotopoulos T, Magriplis E, Zampelas A. Validation of a Food Propensity Questionnaire for the Hellenic National Nutrition and Health Survey (HNNHS) and Results on This Population’s Adherence to Key Food-Group Nutritional Guidelines. Nutrients 2020;12(6):1808 View
  24. Celis-Morales C, Lara J, Mathers J. Personalising nutritional guidance for more effective behaviour change. Proceedings of the Nutrition Society 2015;74(2):130 View
  25. Riordan F, Ryan K, Perry I, Schulze M, Andersen L, Geelen A, van’t Veer P, Eussen S, Dagnelie P, Wijckmans-Duysens N, Harrington J. A systematic review of methods to assess intake of fruits and vegetables among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study. Public Health Nutrition 2017;20(3):417 View
  26. Putz P, Kogler B, Bersenkowitsch I. Reliability and validity of assessing energy and nutrient intake with the Vienna food record: a cross-over randomised study. Nutrition Journal 2019;18(1) View
  27. 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
  28. 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
  29. Verger E, Armstrong P, Nielsen T, Chakaroun R, Aron-Wisnewsky J, Gøbel R, Schütz T, Delaere F, Gausseres N, Clément K, Holmes B, Andreelli F, Bluher M, Bruckert E, Giral P, Girerd X, Hansen T, Harteman A, Helft G, Hulot J, Isnard R, Køber L, Montalescot G, Oppert J, Poitou C, Pedersen O, Stumvoll M, Vestergaard H. Dietary Assessment in the MetaCardis Study: Development and Relative Validity of an Online Food Frequency Questionnaire. Journal of the Academy of Nutrition and Dietetics 2017;117(6):878 View
  30. Kirwan L, Walsh M, Brennan L, Gibney E, Drevon C, Daniel H, Lovegrove J, Manios Y, Martínez J, Saris W, Traczyk I, Mathers J, Gibney M. Comparison of the portion size and frequency of consumption of 156 foods across seven European countries: insights from the Food4ME study. European Journal of Clinical Nutrition 2016;70(5):642 View
  31. Hallmann J, Kolossa S, Gedrich K, Celis-Morales C, Forster H, O'Donovan C, Woolhead C, Macready A, Fallaize R, Marsaux C, Lambrinou C, Mavrogianni C, Moschonis G, Navas-Carretero S, San-Cristobal R, Godlewska M, Surwiłło A, Mathers J, Gibney E, Brennan L, Walsh M, Lovegrove J, Saris W, Manios Y, Martinez J, Traczyk I, Gibney M, Daniel H. Predicting fatty acid profiles in blood based on food intake and the FADS1 rs174546 SNP. Molecular Nutrition & Food Research 2015;59(12):2565 View
  32. San-Cristobal R, Navas-Carretero S, Celis-Morales C, Brennan L, Walsh M, Lovegrove J, Daniel H, Saris W, Traczyk I, Manios Y, Gibney E, Gibney M, Mathers J, Martinez J. Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort. Nutrients 2015;7(11):9523 View
  33. 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
  34. Béjar L, Reyes Ó, García-Perea M. Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records. JMIR mHealth and uHealth 2018;6(6):e10409 View
  35. Fallaize R, Franco R, Hwang F, Lovegrove J, Portero-Otin M. Evaluation of the eNutri automated personalised nutrition advice by users and nutrition professionals in the UK. PLOS ONE 2019;14(4):e0214931 View
  36. Tam R, Beck K, Gifford J, Flood V, O’Connor H. Development of an Electronic Questionnaire to Assess Sports Nutrition Knowledge in Athletes. Journal of the American College of Nutrition 2020;39(7):636 View
  37. O’Kane S, Pourshahidi L, Farren K, Mulhern M, Strain J, Yeates A. Iodine knowledge is positively associated with dietary iodine intake among women of childbearing age in the UK and Ireland. British Journal of Nutrition 2016;116(10):1728 View
  38. Buscail C, Bourcier V, Fezeu L, Roulot D, Brulé S, Ben-Abdesselam Z, Cagnot C, Hercberg S, Nahon P, Ganne-Carrié N, Julia C. Eating Patterns in Patients with Compensated Cirrhosis: A Case-Control Study. Nutrients 2018;10(1):60 View
  39. McCray S, Maunder K, Krikowa R, MacKenzie-Shalders K. Room Service Improves Nutritional Intake and Increases Patient Satisfaction While Decreasing Food Waste and Cost. Journal of the Academy of Nutrition and Dietetics 2018;118(2):284 View
  40. O'Donovan C, Walsh M, Gibney M, Brennan L, Gibney E. Knowing your genes: does this impact behaviour change?. Proceedings of the Nutrition Society 2017;76(3):182 View
  41. Steinemann N, Grize L, Ziesemer K, Kauf P, Probst-Hensch N, Brombach C. Relative validation of a food frequency questionnaire to estimate food intake in an adult population. Food & Nutrition Research 2017;61(1):1305193 View
  42. Cade J. Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276 View
  43. Barchitta M, Maugeri A, Agrifoglio O, Favara G, La Mastra C, La Rosa M, Magnano San Lio R, Agodi A. Comparison of Self-Administered Web-Based and Interviewer Printed Food Frequency Questionnaires for Dietary Assessment in Italian Adolescents. International Journal of Environmental Research and Public Health 2019;16(11):1949 View
  44. Mayén A, Bovet P, Marti-Soler H, Viswanathan B, Gedeon J, Paccaud F, Marques-Vidal P, Stringhini S, Triche E. Socioeconomic Differences in Dietary Patterns in an East African Country: Evidence from the Republic of Seychelles. PLOS ONE 2016;11(5):e0155617 View
  45. Kim S, Kim J, Yun E, Kim K. Food metabolomics: from farm to human. Current Opinion in Biotechnology 2016;37:16 View
  46. Livingstone K, Celis-Morales C, Lara J, Woolhead C, O’Donovan C, Forster H, Marsaux C, Macready A, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Surwiłło A, Drevon C, Manios Y, Traczyk I, Gibney E, Brennan L, Walsh M, Lovegrove J, Martinez J, Saris W, Daniel H, Gibney M, Mathers J. Clustering of adherence to personalised dietary recommendations and changes in healthy eating index within the Food4Me study. Public Health Nutrition 2016;19(18):3296 View
  47. Gazan R, Vieux F, Darmon N, Maillot M. Structural Validation of a French Food Frequency Questionnaire of 94 Items. Frontiers in Nutrition 2017;4 View
  48. Postma E, De Graaf C, Boesveldt S. Food preferences and intake in a population of Dutch individuals with self-reported smell loss: An online survey. Food Quality and Preference 2020;79:103771 View
  49. Forster H, Walsh M, O'Donovan C, Woolhead C, McGirr C, Daly E, O'Riordan R, Celis-Morales C, Fallaize R, Macready A, Marsaux C, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou C, Godlewska M, Surwiłło A, Gjelstad I, Drevon C, Manios Y, Traczyk I, Martinez J, Saris W, Daniel H, Lovegrove J, Mathers J, Gibney M, Gibney E, Brennan L. A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study. Journal of Medical Internet Research 2016;18(6):e150 View
  50. Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, De Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55 View
  51. Celis-Morales C, Livingstone K, Marsaux C, Macready A, Fallaize R, O’Donovan C, Woolhead C, Forster H, Walsh M, Navas-Carretero S, San-Cristobal R, Tsirigoti L, Lambrinou C, Mavrogianni C, Moschonis G, Kolossa S, Hallmann J, Godlewska M, Surwiłło A, Traczyk I, Drevon C, Bouwman J, van Ommen B, Grimaldi K, Parnell L, Matthews J, Manios Y, Daniel H, Martinez J, Lovegrove J, Gibney E, Brennan L, Saris W, Gibney M, Mathers; J. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial. International Journal of Epidemiology 2016:dyw186 View
  52. 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
  53. Timon C, van den Barg R, Blain R, Kehoe L, Evans K, Walton J, Flynn A, Gibney E. A review of the design and validation of web- and computer-based 24-h dietary recall tools. Nutrition Research Reviews 2016;29(2):268 View
  54. Matsuzaki E, Michie M, Kawabata T. Validity of Nutrient Intakes Derived from an Internet Website Dish-Based Dietary Record for Self-Management of Weight among Japanese Women. Nutrients 2017;9(10):1058 View
  55. Livingstone K, Celis‐Morales C, Hoeller U, Lambrinou C, Moschonis G, Macready A, Fallaize R, Baur M, Roos F, Bendik I, Grimaldi K, Navas‐Carretero S, San‐Cristobal R, Weber P, Drevon C, Manios Y, Traczyk I, Gibney E, Lovegrove J, Saris W, Daniel H, Gibney M, Martinez J, Brennan L, Hill T, Mathers J. Weekday sunlight exposure, but not vitamin D intake, influences the association between vitamin D receptor genotype and circulating concentration 25‐hydroxyvitamin D in a pan‐European population: the Food4Me study. Molecular Nutrition & Food Research 2017;61(2) View
  56. Affret A, El Fatouhi D, Dow C, Correia E, Boutron-Ruault M, Fagherazzi G. Relative Validity and Reproducibility of a New 44-Item Diet and Food Frequency Questionnaire Among Adults: Online Assessment. Journal of Medical Internet Research 2018;20(7):e227 View
  57. Tollosa D, Van Camp J, Huybrechts I, Huybregts L, Van Loco J, De Smet S, Sterck E, Rabâi C, Van Hecke T, Vanhaecke L, Vossen E, Peeters M, Lachat C. Validity and Reproducibility of a Food Frequency Questionnaire for Dietary Factors Related to Colorectal Cancer. Nutrients 2017;9(11):1257 View
  58. Kucianski T, Thodis A, Vally H, Kouris-Blazos A, Moschonis G, Wilson A, van Gaal W, Tierney A, Itsiopoulos C. The Cardio-Med survey tool: development and pilot validation of a FFQ in a multicultural cardiology cohort. Public Health Nutrition 2020;23(13):2303 View
  59. Riordan F, Ryan K, Perry I, Schulze M, Andersen L, Geelen A, van’t Veer P, Eussen S, van Dongen M, Wijckmans-Duysens N, Harrington J. A systematic review of methods to assess intake of sugar-sweetened beverages among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study. Public Health Nutrition 2017;20(4):578 View
  60. Pendergast F, Leech R, McNaughton S. Novel Online or Mobile Methods to Assess Eating Patterns. Current Nutrition Reports 2017;6(3):212 View
  61. Gila-Díaz A, Arribas S, López de Pablo Á, López-Giménez M, Phuthong S, Ramiro-Cortijo D. Development and Validation of a Questionnaire to Assess Adherence to the Healthy Food Pyramid in Spanish Adults. Nutrients 2020;12(6):1656 View
  62. Forster H, Walsh M, Gibney M, Brennan L, Gibney E. Personalised nutrition: the role of new dietary assessment methods. Proceedings of the Nutrition Society 2016;75(1):96 View
  63. 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
  64. Vu T, Lin F, Alshurafa N, Xu W. Wearable Food Intake Monitoring Technologies: A Comprehensive Review. Computers 2017;6(1):4 View
  65. Walker C, Gibney E, Hellweg S. Comparison of Environmental Impact and Nutritional Quality among a European Sample Population – findings from the Food4Me study. Scientific Reports 2018;8(1) View
  66. Baspinar B, Özçelik A. Comparison of commonly used dietary assessment methods in individuals without obesity. Nutrition & Food Science 2021;51(3):560 View
  67. Khalesi S, Doshi D, Buys N, Sun J. Validation of a short food frequency questionnaire in Australian adults. International Journal of Food Sciences and Nutrition 2017;68(3):349 View
  68. McCray S, Maunder K, Barsha L, Mackenzie‐Shalders K. Room service in a public hospital improves nutritional intake and increases patient satisfaction while decreasing food waste and cost. Journal of Human Nutrition and Dietetics 2018;31(6):734 View
  69. Manios Y, Moschonis G, Lambrinou C, Mavrogianni C, Tsirigoti L, Hoeller U, Roos F, Bendik I, Eggersdorfer M, Celis-Morales C, Livingstone K, Marsaux C, Macready A, Fallaize R, O’Donovan C, Woolhead C, Forster H, Walsh M, Navas-Carretero S, San-Cristobal R, Kolossa S, Hallmann J, Jarosz M, Surwiłło A, Traczyk I, Drevon C, van Ommen B, Grimaldi K, Matthews J, Daniel H, Martinez J, Lovegrove J, Gibney E, Brennan L, Saris W, Gibney M, Mathers J. Associations of vitamin D status with dietary intakes and physical activity levels among adults from seven European countries: the Food4Me study. European Journal of Nutrition 2018;57(4):1357 View
  70. Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, O’Donovan C, Forster H, Woolhead C, Marsaux C, Macready A, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Drevon C, Manios Y, Traczyk I, Gibney E, Brennan L, Walsh M, Lovegrove J, Alfredo Martinez J, Saris W, Daniel H, Gibney M, Mathers J. Profile of European adults interested in internet-based personalised nutrition: the Food4Me study. European Journal of Nutrition 2016;55(2):759 View
  71. Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, O’Donovan C, Woolhead C, Marsaux C, Macready A, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Drevon C, Manios Y, Traczyk I, Gibney E, Brennan L, Walsh M, Lovegrove J, Martinez J, Saris W, Daniel H, Gibney M, Mathers J. Fat mass- and obesity-associated genotype, dietary intakes and anthropometric measures in European adults: the Food4Me study. British Journal of Nutrition 2016;115(3):440 View
  72. Timon C, Blain R, McNulty B, Kehoe L, Evans K, Walton J, Flynn A, Gibney E. The Development, Validation, and User Evaluation of Foodbook24: A Web-Based Dietary Assessment Tool Developed for the Irish Adult Population. Journal of Medical Internet Research 2017;19(5):e158 View
  73. Ryan N, O'Donovan C, Forster H, Woolhead C, Walsh M. New tools for personalised nutrition: The Food4Me project. Nutrition Bulletin 2015;40(2):134 View
  74. Celis-Morales C, Livingstone K, Affleck A, Navas-Carretero S, San-Cristobal R, Martinez J, Marsaux C, Saris W, O’Donovan C, Forster H, Woolhead C, Gibney E, Walsh M, Brennan L, Gibney M, Moschonis G, Lambrinou C, Mavrogianni C, Manios Y, Macready A, Fallaize R, Lovegrove J, Kolossa S, Daniel H, Traczyk I, Drevon C, Mathers J. Correlates of overall and central obesity in adults from seven European countries: findings from the Food4Me Study. European Journal of Clinical Nutrition 2018;72(2):207 View
  75. 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
  76. San-Cristobal R, Navas-Carretero S, Livingstone K, Celis-Morales C, Macready A, Fallaize R, O’Donovan C, Lambrinou C, Moschonis G, Marsaux C, Manios Y, Jarosz M, Daniel H, Gibney E, Brennan L, Drevon C, Gundersen T, Gibney M, Saris W, Lovegrove J, Grimaldi K, Parnell L, Bouwman J, Van Ommen B, Mathers J, Martinez J. Mediterranean Diet Adherence and Genetic Background Roles within a Web-Based Nutritional Intervention: The Food4Me Study. Nutrients 2017;9(10):1107 View
  77. Hooson (Jzh) J, Hutchinson (Jyh) J, Warthon-Medina M, Hancock N, Greathead K, Knowles B, Vargas-Garcia E, Gibson L, Bush L, Margetts B, Robinson S, Ness A, Alwan N, Wark P, Roe M, Finglas P, Steer T, Page P, Johnson L, Roberts K, Amoutzopoulos B, Burley V, Greenwood D, Cade J. A systematic review of reviews identifying UK validated dietary assessment tools for inclusion on an interactive guided website for researchers: www.nutritools.org. Critical Reviews in Food Science and Nutrition 2020;60(8):1265 View
  78. Celis-Morales C, Livingstone K, Marsaux C, Forster H, O’Donovan C, Woolhead C, Macready A, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Grimaldi K, Bouwman J, Daly E, Akujobi V, O’Riordan R, Hoonhout J, Claassen A, Hoeller U, Gundersen T, Kaland S, Matthews J, Manios Y, Traczyk I, Drevon C, Gibney E, Brennan L, Walsh M, Lovegrove J, Alfredo Martinez J, Saris W, Daniel H, Gibney M, Mathers J. Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries. Genes & Nutrition 2015;10(1) View
  79. Alawadhi B, Fallaize R, Franco R, Hwang F, Lovegrove J. Web-Based Dietary Intake Estimation to Assess the Reproducibility and Relative Validity of the EatWellQ8 Food Frequency Questionnaire: Validation Study. JMIR Formative Research 2021;5(3):e13591 View
  80. Cui Q, Xia Y, Wu Q, Chang Q, Niu K, Zhao Y. A meta-analysis of the reproducibility of food frequency questionnaires in nutritional epidemiological studies. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  81. Martínez-Martínez M, Alegre-Martínez A, Cauli O. Omega-3 Long-Chain Polyunsaturated Fatty Acids Intake in Children: The Role of Family-Related Social Determinants. Nutrients 2020;12(11):3455 View
  82. Timon C, Walton J, Flynn A, Gibney E. Respondent Characteristics and Dietary Intake Data Collected Using Web-Based and Traditional Nutrition Surveillance Approaches: Comparison and Usability Study. JMIR Public Health and Surveillance 2021;7(4):e22759 View
  83. Blaurock J, Kaiser B, Stelzl T, Weech M, Fallaize R, Franco R, Hwang F, Lovegrove J, Finglas P, Gedrich K. Dietary Quality in Vegetarian and Omnivorous Female Students in Germany: A Retrospective Study. International Journal of Environmental Research and Public Health 2021;18(4):1888 View
  84. Huybrechts I, Miglio R, Mistura L, Grioni S, Pozzebon I, Odorifero C, Borea R, Gitto A, Terrafino M, Scipioni M, Turrini A, Krogh V, Ricci S, Martucci G, Longhi A. Relative Validity of an Italian EPIC Food Frequency Questionnaire for Dietary Factors in Children and Adolescents. A Rizzoli Orthopedic Institute Study. Nutrients 2021;13(4):1245 View
  85. Apostolopoulou A, Magriplis E, Tsekitsidi E, Oikonomidou A, Papaefstathiou E, Tsakiridis I, Dagklis T, Chourdakis M. Development and validation of a short culture-specific food frequency questionnaire for Greek pregnant women and their adherence to the Mediterranean diet. Nutrition 2021;90:111357 View
  86. 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
  87. Watkins S, Freeborn E, Mushtaq S. A validated FFQ to determine dietary intake of vitamin D. Public Health Nutrition 2021;24(13):4001 View
  88. Cieśla E, Suliga E, Kadučáková H, Michel S, Ižová M, Simočková V, Martin T, Braun A, Kozieł D, Głuszek S. Reproducibility of the German and Slovakian Versions of the Dietary Habits and Nutrition Beliefs Questionnaire (KomPAN). Nutrients 2022;14(22):4893 View
  89. 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
  90. Cui Q, Xia Y, Liu Y, Sun Y, Ye K, Li W, Wu Q, Chang Q, Zhao Y. Validity and reproducibility of a FFQ for assessing dietary intake among residents of northeast China: northeast cohort study of China. British Journal of Nutrition 2023;129(7):1252 View
  91. El Mesmoudi N, Al Dhaheri A, Feehan J, Stojanovska L, Ali H, Elfalleh W. Validation of a quantitative web-based food frequency questionnaire to assess dietary intake in the adult Emirati population. PLOS ONE 2022;17(1):e0262150 View
  92. Kim J, Kim H, Lee J, Ko H, Jung S, Kim H, Wie G, Kim Y. Comparison of Energy and Macronutrients Between a Mobile Application and a Conventional Dietary Assessment Method in Korea. Journal of the Academy of Nutrition and Dietetics 2022;122(11):2127 View
  93. 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
  94. Akpınar Ş, Köksal E. Validity and reliability of food frequency questionnaire used in age-related eye disease studies in Turkish adults. Journal of Nutritional Science 2023;12 View
  95. Negrati M, Razza C, Biasini C, Di Nunzio C, Vancini A, Dall’Asta M, Lovotti G, Trevisi E, Rossi F, Cavanna L. Mediterranean Diet Affects Blood Circulating Lipid-Soluble Micronutrients and Inflammatory Biomarkers in a Cohort of Breast Cancer Survivors: Results from the SETA Study. Nutrients 2021;13(10):3482 View
  96. Cui Q, Xia Y, Wu Q, Chang Q, Niu K, Zhao Y. Validity of the food frequency questionnaire for adults in nutritional epidemiological studies: A systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition 2023;63(12):1670 View
  97. Wu J, Fuchs K, Lian J, Haldimann M, Schneider T, Mayer S, Byun J, Gassmann R, Brombach C, Fleisch E. Estimating Dietary Intake from Grocery Shopping Data—A Comparative Validation of Relevant Indicators in Switzerland. Nutrients 2021;14(1):159 View
  98. Cornelli U, Belcaro G, Recchia M, D’Orazio N. Long-Term Treatment of Overweight and Obesity with Polyglucosamine (PG L112): Randomized Study Compared with Placebo in Subjects after Caloric Restriction. Current Developments in Nutrition 2017;1(10):e000919 View
  99. Dorrington N, Fallaize R, Hobbs D, Weech M, Lovegrove J. Diet Quality Index for older adults (DQI-65): development and use in predicting adherence to dietary recommendations and health markers in the UK National Diet and Nutrition Survey. British Journal of Nutrition 2022;128(11):2193 View
  100. Tanweer A, Khan S, Mustafa F, Imran S, Humayun A, Hussain Z. Improving dietary data collection tools for better nutritional assessment – A systematic review. Computer Methods and Programs in Biomedicine Update 2022;2:100067 View
  101. Lai J, Loh J, Toh J, Sugianto R, Colega M, Tan K, Yap F, Chong Y, Godfrey K, Chong M. Evaluation of paper-based and web-based food frequency questionnaires for 7-year-old children in Singapore. British Journal of Nutrition 2022;128(8):1626 View
  102. Mohammadifard N, Grau N, Khosravi A, Esmaillzadeh A, Feizi A, Abdollahi Z, Sarrafzadegan N. Validation and reproducibility of a semi-qualitative food frequency questionnaire for assessment of sodium intake in Iranian population. Nutrition Journal 2022;21(1) View
  103. Carlsen M, Andersen L, Hjartåker A. Reproducibility and feasibility of an online self-administered food frequency questionnaire for use among adult Norwegians. Food & Nutrition Research 2021;65 View
  104. Navas-Carretero S, San-Cristobal R, Alvarez-Alvarez I, Celis-Morales C, Livingstone K, O’Donovan C, Mavrogianni C, Lambrinou C, Manios Y, Traczyck I, Drevon C, Marsaux C, Saris W, Fallaize R, Macready A, Lovegrove J, Gundersen T, Walsh M, Brennan L, Gibney E, Gibney M, Mathers J, Martinez J. Interactions of Carbohydrate Intake and Physical Activity with Regulatory Genes Affecting Glycaemia: A Food4Me Study Analysis. Lifestyle Genomics 2021;14(3):63 View
  105. Yang Y, Wang H, Jiang R, Guo X, Cheng J, Chen Y. A Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future Trends. IEEE Internet of Things Journal 2022;9(12):9478 View
  106. Livingstone K, Brayner B, Celis-Morales C, Moschonis G, Manios Y, Traczyk I, Drevon C, Daniel H, Saris W, Lovegrove J, Gibney M, Gibney E, Brennan L, Martinez J, Mathers J. Associations between dietary patterns, FTO genotype and obesity in adults from seven European countries. European Journal of Nutrition 2022;61(6):2953 View
  107. Das S, Miki A, Blanchard C, Sazonov E, Gilhooly C, Dey S, Wolk C, Khoo C, Hill J, Shook R. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Advances in Nutrition 2022;13(1):1 View
  108. Madali B, Inan-Eroglu E, Ozsin-Ozler C, Karahan S, Uzamıs-Tekcicek M, Buyuktuncer Z. Development and validation of a comprehensive food frequency questionnaire that assesses the dietary intake related with dental health in children: A pilot study. Clinical Nutrition ESPEN 2023;54:130 View
  109. Song S, Kim B, Pang Y, Kim O, Lee J. Reproducibility of a food frequency questionnaire: Korea Nurses' Health Study. Nutrition Research and Practice 2022;16(1):106 View
  110. Gioia S, Guirette M, Chen A, Tucker C, Gray B, Vetter C, Garaulet M, Scheer F, Saxena R, Dashti H. How Accurately Can We Recall the Timing of Food Intake? A Comparison of Food Times from Recall-Based Survey Questions and Daily Food Records. Current Developments in Nutrition 2022;6(2):nzac002 View
  111. Kusuma J, Yang H, Yang Y, Chen Z, Shiao S. Validating Accuracy of a Mobile Application against Food Frequency Questionnaire on Key Nutrients with Modern Diets for mHealth Era. Nutrients 2022;14(3):537 View
  112. Liu S, Wang J, He G, Chen B, Jia Y. Evaluation of Dietary Quality Based on Intelligent Ordering System and Chinese Healthy Eating Index in College Students from a Medical School in Shanghai, China. Nutrients 2022;14(5):1012 View
  113. Murakami K, Shinozaki N, Kimoto N, Masayasu S, Sasaki S. Relative Validity of the Meal-Based Diet History Questionnaire for Estimating Nutrient Intake among Japanese Women and Men aged 30–76 Years. Nutrients 2022;14(20):4270 View
  114. Livingstone K, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Macready A, Fallaize R, Forster H, Woolhead C, O’Donovan C, Marsaux C, Kolossa S, Tsirigoti L, Lambrinou C, Moschonis G, Godlewska M, Surwiłło A, Drevon C, Manios Y, Traczyk I, Gibney E, Brennan L, Walsh M, Lovegrove J, Saris W, Daniel H, Gibney M, Martinez J, Mathers J. Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study. The American Journal of Clinical Nutrition 2016;104(2):288 View
  115. Khan M, Acharya B, Chaurasiya R. Automatic Prediction of Glycemic Index Category from Food Images Using Machine Learning Approaches. Arabian Journal for Science and Engineering 2022;47(8):10823 View
  116. Zenun Franco R, Fallaize R, Weech M, Hwang F, Lovegrove J. Effectiveness of Web-Based Personalized Nutrition Advice for Adults Using the eNutri Web App: Evidence From the EatWellUK Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(4):e29088 View
  117. Rostgaard-Hansen A, Rosthøj S, Brunius C, Olsen S, Bjerregaard A, Cade J, Tjønneland A, Landberg R, Halkjær J. Relative Validity and Reproducibility of a Web-Based Semi-Quantitative Food Frequency Questionnaire in the Danish Diet, Cancer, and Health—Next Generations MAX Study. Nutrients 2023;15(10):2389 View
  118. Smiliotopoulos T, Zampelas A, Houliaras G, Sgouros S, Michas G, Bamias G, Panagiotakos D, Cholopoulos N, Chrousos G, Roma E, Magriplis E. Association of fructose consumption with prevalence of functional gastrointestinal disorders manifestations: results from Hellenic National Nutrition and Health Survey (HNNHS). British Journal of Nutrition 2023;130(11):1961 View
  119. Fu M, Guo W, Ren Z, Zhang H, Wu W, Sun Y, Pan Z, Ji F, Zhang W. Iodine-specific food frequency questionnaire can evaluate iodine intakes of Chinese pregnant women. Nutrition Research 2023;118:146 View
  120. Sebastiá-Rico J, Soriano J, Sanchis-Chordà J, Alonso-Calvar M, López-Mateu P, Romero-García D, Martínez-Sanz J. Dietary Habits of Elite Soccer Players: Variations According to Competitive Level, Playing Position and Sex. Nutrients 2023;15(20):4323 View
  121. Polat M. Readiness, resilience, and engagement: Analyzing the core building blocks of online education. Education and Information Technologies 2024 View
  122. Lawson I, Wood C, Syam N, Rippin H, Dagless S, Wickramasinghe K, Amoutzopoulos B, Steer T, Key T, Papier K. Assessing Performance of Contemporary Plant-Based Diets against the UK Dietary Guidelines: Findings from the Feeding the Future (FEED) Study. Nutrients 2024;16(9):1336 View
  123. TOJI C, SAITO Y, HIROTA N, NOTSU A, FUKUI M, SASAKI S, DATE C. Validity and Reproducibility of a Food Frequency Questionnaire for Dietary Assessment in Japanese People. Journal of Nutritional Science and Vitaminology 2024;70(2):106 View
  124. 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

Books/Policy Documents

  1. Barnett M, Ferguson L. Molecular Diagnostics. View
  2. Javadi B, Calheiros R, Matawie K, Ginige A, Cook A. Internet and Distributed Computing Systems. View
  3. Yeomans M. Methods in Consumer Research, Volume 2. View
  4. Brouwer-Brolsma E, Lucassen D, de Rijk M, Slotegraaf A, Perenboom C, Borgonjen K, Siebelink E, Feskens E, de Vries J. Environmental Software Systems. Data Science in Action. View
  5. Mamud S, Chatterjee P, Bandyopadhyay S, Bhandari S. ICT Systems and Sustainability. View
  6. Mamud S, Bandyopadhyay S, Chatterjee P, Bhandari S, Chakraborty N. Data Management, Analytics and Innovation. View
  7. Patel S, George B, Jain N, Rai V. Sustainable Agriculture Reviews 59. View