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

Research Instruments, Questionnaires, and Tools (541) Instruments and Questionnaires for Nutrition and Food Intake (159)

Published on in Vol 16, No 6 (2014): June

Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Authors of this article:

Hannah Forster1 Author Orcid Image ;   Rosalind Fallaize2 ;   Caroline Gallagher1 ;   Clare B O’Donovan1 ;   Clara Woolhead1 ;   Marianne C Walsh1 ;   Anna L Macready2 Author Orcid Image ;   Julie A Lovegrove2 Author Orcid Image ;   John C Mathers3 ;   Michael J Gibney1 ;   Lorraine Brennan1 Author Orcid Image ;   Eileen R Gibney1 Author Orcid Image
Article Authors Cited by (104) Tweetations (9) Metrics

Journals

  1. 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
  2. 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
  3. 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
  4. Fuscà E, Bolzon A, Buratin A, Ruffolo M, Berchialla P, Gregori D, Perissinotto E, Baldi I. Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study. JMIR Research Protocols 2019;8(3):e12116 View
  5. 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
  6. Loh M, Sarigiannis D, Gotti A, Karakitsios S, Pronk A, Kuijpers E, Annesi-Maesano I, Baiz N, Madureira J, Oliveira Fernandes E, Jerrett M, Cherrie J. How Sensors Might Help Define the External Exposome. International Journal of Environmental Research and Public Health 2017;14(4):434 View
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. Fallaize R, Forster H, Macready A, Walsh M, Mathers J, Brennan L, Gibney E, Gibney M, Lovegrove J. Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record. Journal of Medical Internet Research 2014;16(8):e190 View
  18. 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
  19. 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
  20. 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
  21. Medin A, Astrup H, Kåsin B, Andersen L. Evaluation of a Web-Based Food Record for Children Using Direct Unobtrusive Lunch Observations: A Validation Study. Journal of Medical Internet Research 2015;17(12):e273 View
  22. 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
  23. Ladyzynski P, Krzymien J, Foltynski P, Rachuta M, Bonalska B. Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes. Nutrients 2018;10(4):518 View
  24. Wald J, Asare E, Nakua E, Nohr D, Lambert C, Riedel S, Gola U, Biesalski H. Validation of a computer-based analysis tool for real-time dietary assessment within a Ghanaian region. NFS Journal 2019;16:15 View
  25. 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
  26. 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
  27. 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
  28. Hasslöf P, Videhult F, Silfverdal S, West C, Stecksén-Blicks C. Vitamin D Insufficiency among Women Post-Partum in Northern Sweden—A Public Health Concern. Food and Nutrition Sciences 2017;08(01):99 View
  29. 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
  30. Gardener S, Rainey-Smith S, Macaulay S, Taddei K, Rembach A, Maruff P, Ellis K, Masters C, Rowe C, Ames D, Keogh J, Martins R. Comparative analysis of the Cancer Council of Victoria and the online Commonwealth Scientific and Industrial Research Organisation FFQ. British Journal of Nutrition 2015;114(10):1683 View
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. Al Marzooqi H, Burke S, Al Ghazali M, Duffy E, Yousuf M. The development of a food atlas of portion sizes for the United Arab Emirates. Journal of Food Composition and Analysis 2015;43:140 View
  45. 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
  46. 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
  47. Boushey C, Spoden M, Zhu F, Delp E, Kerr D. New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. Proceedings of the Nutrition Society 2017;76(3):283 View
  48. Haydar S, Paillot T, Fagot C, Cogne Y, Fountas A, Tutuncu Y, Vintila M, Tsatsoulis A, Thanh Chi P, Garandeau P, Chetea D, Badiu C, Gheorghiu M, Ylli D, Lautier C, Jarec M, Monnier L, Normand C, Šarac J, Barakat A, Missoni S, Pugeat M, Poucheret P, Hanzu F, Gomis R, Macias J, Litvinov S, Khusnutdinova E, Poiana C, Pasquali R, Lauro D, Sesti G, Trischitta V, Abdelhak S, Zenati A, Ylli A, Satman I, Kanninen T, Rinato Y, Grigorescu F. Branched-Chain Amino Acid Database Integrated in MEDIPAD Software as a Tool for Nutritional Investigation of Mediterranean Populations. Nutrients 2018;10(10):1392 View
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. Cade J. Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276 View
  55. 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
  56. Chan T, Yen T, Fu Y, Hwang J. ClickDiary: Online Tracking of Health Behaviors and Mood. Journal of Medical Internet Research 2015;17(6):e147 View
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. Kang M, Park S, Boushey C, Wilkens L, Monroe K, Le Marchand L, Kolonel L, Murphy S, Paik H. Portion Sizes from 24-Hour Dietary Recalls Differed by Sex among Those Who Selected the Same Portion Size Category on a Food Frequency Questionnaire. Journal of the Academy of Nutrition and Dietetics 2018;118(9):1711 View
  63. Ji Y, Plourde H, Bouzo V, Kilgour R, Cohen T. Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(9):e16953 View
  64. 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
  65. 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
  66. 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
  67. 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
  68. Woolhead C, Walsh M, Gibney M, Daniel H, Drevon C, Lovegrove J, Manios Y, Martinez J, Mathers J, Traczyk I, Saris W, Gibney E, Brennan L. Dietary patterns in Europe: the Food4Me proof of principle study. Proceedings of the Nutrition Society 2015;74(OCE4) View
  69. Amoutzopoulos B, Steer T, Roberts C, Cade J, Boushey C, Collins C, Trolle E, Boer E, Ziauddeen N, van Rossum C, Buurma E, Coyle D, Page P. Traditional methodsv.new technologies – dilemmas for dietary assessment in large-scale nutrition surveys and studies: a report following an international panel discussion at the 9th International Conference on Diet and Activity Methods (ICDAM9), Brisbane, 3 September 2015. Journal of Nutritional Science 2018;7 View
  70. 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
  71. 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
  72. 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
  73. Watkins S, Freeborn E, Mushtaq S. A validated FFQ to determine dietary intake of vitamin D. Public Health Nutrition 2021;24(13):4001 View
  74. 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
  75. J Stewart–Knox B, Rankin A, P Bunting B, J Frewer L, Celis-Morales C, M Livingstone K, Fischer A, Poínhos R, Kuznesof S, J Gibney M, Mathers J. Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study. British Food Journal 2022;124(1):314 View
  76. 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
  77. 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
  78. Bennett G, Bardon L, McAteer C, Gibney E. Development of a mapping and merging framework to address data fragmentation in nutritional research: FNS Cloud project. Proceedings of the Nutrition Society 2022;81(OCE4) View
  79. Tousen Y, Shimomura C, Yasudomi A, Kaneda Y, Nishiwaki N, Fujita M, Oya H, Kobori T, Kobori M, Takimoto H. Identification of Factors Necessary for Enabling Technology-Based Dietary Record Surveys: A Qualitative Focus Group Interview with Japanese Dietitians. Nutrients 2022;14(20):4357 View
  80. Bardon L, Bennett G, McAteer C, Yang S, Gibney E. Development of a first-generation Food Cloud for data, tools and services related to the nutrition, health and agri-food sciences–contributions from UCD to the Food Nutrition Security Cloud (FNS-Cloud) project. Proceedings of the Nutrition Society 2022;81(OCE4) View
  81. Rogers B, Somé J, Bakun P, Adams K, Bell W, Carroll D, Wafa S, Coates J. Validation of the INDDEX24 mobile app v. a pen-and-paper 24-hour dietary recall using the weighed food record as a benchmark in Burkina Faso. British Journal of Nutrition 2022;128(9):1817 View
  82. 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
  83. Béjar L. Weekend–Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students. Nutrients 2022;14(14):2811 View
  84. 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
  85. Wang W, Min W, Li T, Dong X, Li H, Jiang S. A review on vision-based analysis for automatic dietary assessment. Trends in Food Science & Technology 2022;122:223 View
  86. Béjar L, García-Perea M, Mesa-Rodríguez P. Evaluation of an Application for Mobile Telephones (e-12HR) to Increase Adherence to the Mediterranean Diet in University Students: A Controlled, Randomized and Multicentric Study. Nutrients 2022;14(19):4196 View
  87. Brittain M, Consedine N, Bagot K, Booth N, Rodda S. Sugar Habit Hacker: Initial evidence that a planning intervention reduces sugar intake. Journal of Behavioral Addictions 2021;10(3):471 View
  88. 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
  89. González-Alzaga B, Hernández A, Kim Pack L, Iavicoli I, Tolonen H, Santonen T, Vinceti M, Filippini T, Moshammer H, Probst- Hensch N, Kolossa-Gehring M, Lacasaña M. The questionnaire design process in the European Human Biomonitoring Initiative (HBM4EU). Environment International 2022;160:107071 View
  90. 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
  91. 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
  92. Béjar L, Mesa-Rodríguez P, Quintero-Flórez A, Ramírez-Alvarado M, García-Perea M. Effectiveness of a Smartphone App (e-12HR) in Improving Adherence to the Mediterranean Diet in Spanish University Students by Age, Gender, Field of Study, and Body Mass Index: A Randomized Controlled Trial. Nutrients 2023;15(7):1688 View
  93. Lei C, Tao X, Xiao Y. Dietary Iodine Intake and Related Factors among Secondary School Students in Macao. Healthcare 2023;11(10):1472 View
  94. Vitale M, Bruno V, D’Abbronzo G, Rivellese A, Bozzetto L, Scidà G, Annuzzi G. Evaluation of eating habits by 7-day food record: web-PC vs. traditional paper format. International Journal of Food Sciences and Nutrition 2023;74(4):580 View
  95. Shi J, Han Q, Cao Z, Wang Z. DeepTrayMeal: Automatic dietary assessment for Chinese tray meals based on deep learning. Food Chemistry 2024;434:137525 View
  96. Béjar L, Mesa-Rodríguez P, García-Perea M. Short-Term Effect of a Health Promotion Intervention Based on the Electronic 12-Hour Dietary Recall (e-12HR) Smartphone App on Adherence to the Mediterranean Diet Among Spanish Primary Care Professionals: Randomized Controlled Clinical Trial. JMIR mHealth and uHealth 2024;12:e49302 View
  97. 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
  98. Henriksen H, Knudsen M, Hjartåker A, Blomhoff R, Carlsen M. Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food–Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study. Journal of Medical Internet Research 2024;26:e53442 View
  99. Davies K, Gibney E, Leonard U, Lindberg L, Woodside J, Kiely M, Nugent A, Arranz E, Conway M, McCarthy S, O’Sullivan A. Developing and testing personalised nutrition feedback for more sustainable healthy diets: the MyPlanetDiet randomised controlled trial protocol. European Journal of Nutrition 2024 View

Books/Policy Documents

  1. Barnett M, Ferguson L. Molecular Diagnostics. View
  2. Yeomans M. Methods in Consumer Research, Volume 2. View
  3. de Las Hazas M, Dávalos A. Advances in Precision Nutrition, Personalization and Healthy Aging. View