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Citing this Article

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Published on 11.08.14 in Vol 16, No 8 (2014): August

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

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

Rosalind Fallaize, Hannah Forster, Anna L Macready, Marianne C Walsh, John C Mathers, Lorraine Brennan, Eileen R Gibney, Michael J Gibney, Julie A Lovegrove

J Med Internet Res 2014 (Aug 11); 16(8):e190 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3355):

(note that this is only a small subset of citations)

  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
    CrossRef
  2. . 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
    CrossRef
  3. Livingstone KM, Celis-Morales C, Macready AL, Fallaize R, Forster H, Woolhead C, O’Donovan CB, Marsaux CF, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WH, Daniel H, Gibney M, Mathers JC. Characteristics of European adults who dropped out from the Food4Me Internet-based personalised nutrition intervention. Public Health Nutrition 2017;20(1):53
    CrossRef
  4. Bejar LM, Sharp BN, García-Perea MD. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208
    CrossRef
  5. Fallaize R, Zenun Franco R, Pasang J, Hwang F, Lovegrove JA. Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method. JMIR mHealth and uHealth 2019;7(2):e9838
    CrossRef
  6. Marshall SJ, Livingstone KM, Celis-Morales C, Forster H, Fallaize R, O’Donovan CB, Woolhead C, Marsaux CF, Macready AL, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Martínez JA, Saris WH, Daniel H, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Gibney M, Mathers JC. Reproducibility of the Online Food4Me Food-Frequency Questionnaire for Estimating Dietary Intakes across Europe. The Journal of Nutrition 2016;146(5):1068
    CrossRef
  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
    CrossRef
  8. Zenun Franco R, Fallaize R, Lovegrove JA, Hwang F, de Souza RJ. Online dietary intake assessment using a graphical food frequency app (eNutri): Usability metrics from the EatWellUK study. PLOS ONE 2018;13(8):e0202006
    CrossRef
  9. Riordan F, McGann R, Kingston C, Perry IJ, Schulze MB, Frost Andersen L, Geelen A, van’t Veer P, Eussen SJPM, Van Dongen MCJM, Wijckmans-Duysens NEG, Harrington JM. 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)
    CrossRef
  10. Navas-Carretero S, San-Cristobal R, Livingstone KM, Celis-Morales C, Marsaux CF, Macready AL, Fallaize R, O’Donovan CB, Forster H, Woolhead C, Moschonis G, Lambrinou CP, Jarosz M, Manios Y, Daniel H, Gibney ER, Brennan L, Walsh MC, Drevon CA, Gibney M, Saris WHM, Lovegrove JA, Mathers JC, Martinez JA. 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
    CrossRef
  11. Kirwan L, Walsh MC, Celis-Morales C, Marsaux CFM, Livingstone KM, Navas-Carretero S, Fallaize R, O’Donovan CB, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Manios Y, Surwillo A, Godlewska M, Traczyk I, Drevon CA, Gibney MJ, Lovegrove JA, Martinez JA, Saris WHM, Mathers JC, Gibney ER, 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
    CrossRef
  12. O’Donovan CB, Walsh MC, Woolhead C, Forster H, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, Rodrigo San-Cristobal S, Kolossa S, Tsirigoti L, Mvrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  16. Salvesen L, Hillesund ER, Vik FN, Brantsæter AL, Øverby NC. Reproducibility and relative validity of a newly developed web-based food-frequency questionnaire for assessment of preconception diet. BMC Nutrition 2019;5(1)
    CrossRef
  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
    CrossRef
  18. Franco RZ, Alawadhi B, Fallaize R, Lovegrove JA, Hwang F. A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics. JMIR Human Factors 2017;4(2):e13
    CrossRef
  19. Aoun C, Bou Daher R, El Osta N, Papazian T, Khabbaz LR, Moran JM. 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
    CrossRef
  20. O’Donovan CB, Walsh MC, Forster H, Woolhead C, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Bouwman J, Grimaldi K, Traczyk I, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Mathers JC, Gibney MJ, Brennan L, Gibney ER. The impact of MTHFR 677C → T risk knowledge on changes in folate intake: findings from the Food4Me study. Genes & Nutrition 2016;11(1)
    CrossRef
  21. Béjar LM, García-Perea MD, Reyes A, 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
    CrossRef
  22. Albani V, Celis‐Morales C, O'Donovan CB, Walsh MC, Woolhead C, Forster H, Fallaize R, Macready AL, Marsaux CFM, Navas‐Carretero S, San‐Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Traczyk I, Gundersen TE, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Gibney MJ, Gibney ER, Mathers JC, Adamson AJ, 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)
    CrossRef
  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
    CrossRef
  24. Celis-Morales C, Lara J, Mathers JC. Personalising nutritional guidance for more effective behaviour change. Proceedings of the Nutrition Society 2015;74(2):130
    CrossRef
  25. Riordan F, Ryan K, Perry IJ, Schulze MB, Andersen LF, Geelen A, van’t Veer P, Eussen S, Dagnelie P, Wijckmans-Duysens N, Harrington JM. 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
    CrossRef
  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)
    CrossRef
  27. Franco RZ, Fallaize R, Hwang F, Lovegrove JA. Strategies for online personalised nutrition advice employed in the development of the eNutri web app. Proceedings of the Nutrition Society 2019;78(3):407
    CrossRef
  28. Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O’Donovan CB, Moschonis G, Manios Y, Traczyk I, Gundersen TE, Drevon CA, Marsaux CFM, Fallaize R, Macready AL, Daniel H, Saris WHM, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC. 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
    CrossRef
  29. Verger EO, Armstrong P, Nielsen T, Chakaroun R, Aron-Wisnewsky J, Gøbel RJ, Schütz T, Delaere F, Gausseres N, Clément K, Holmes BA, 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
    CrossRef
  30. Kirwan L, Walsh MC, Brennan L, Gibney ER, Drevon CA, Daniel H, Lovegrove JA, Manios Y, Martínez JA, Saris WHM, Traczyk I, Mathers JC, 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
    CrossRef
  31. Hallmann J, Kolossa S, Gedrich K, Celis-Morales C, Forster H, O'Donovan CB, Woolhead C, Macready AL, Fallaize R, Marsaux CFM, Lambrinou C, Mavrogianni C, Moschonis G, Navas-Carretero S, San-Cristobal R, Godlewska M, Surwiłło A, Mathers JC, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Saris WHM, Manios Y, Martinez JA, Traczyk I, Gibney MJ, 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
    CrossRef
  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
    CrossRef
  33. Celis-Morales C, Livingstone KM, Petermann-Rocha F, Navas-Carretero S, San-Cristobal R, O'Donovan CB, Moschonis G, Manios Y, Traczyk I, Drevon CA, Daniel H, Marsaux CF, Saris WH, Fallaize R, Macready AL, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC. 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
    CrossRef
  34. Béjar LM, Reyes A, García-Perea MD. 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
    CrossRef
  35. Fallaize R, Franco RZ, Hwang F, Lovegrove JA, 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
    CrossRef
  36. Tam R, Beck KL, Gifford JA, Flood VM, O’Connor HT. Development of an Electronic Questionnaire to Assess Sports Nutrition Knowledge in Athletes. Journal of the American College of Nutrition 2020;39(7):636
    CrossRef
  37. O’Kane SM, Pourshahidi LK, Farren KM, Mulhern MS, Strain JJ, Yeates AJ. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  40. O'Donovan CB, Walsh MC, Gibney MJ, Brennan L, Gibney ER. Knowing your genes: does this impact behaviour change?. Proceedings of the Nutrition Society 2017;76(3):182
    CrossRef
  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
    CrossRef
  42. . Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276
    CrossRef
  43. Barchitta M, Maugeri A, Agrifoglio O, Favara G, La Mastra C, La Rosa MC, 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
    CrossRef
  44. Mayén A, Bovet P, Marti-Soler H, Viswanathan B, Gedeon J, Paccaud F, Marques-Vidal P, Stringhini S, Triche EW. Socioeconomic Differences in Dietary Patterns in an East African Country: Evidence from the Republic of Seychelles. PLOS ONE 2016;11(5):e0155617
    CrossRef
  45. Kim S, Kim J, Yun EJ, Kim KH. Food metabolomics: from farm to human. Current Opinion in Biotechnology 2016;37:16
    CrossRef
  46. Livingstone KM, Celis-Morales C, Lara J, Woolhead C, O’Donovan CB, Forster H, Marsaux CF, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WH, Daniel H, Gibney M, Mathers JC. Clustering of adherence to personalised dietary recommendations and changes in healthy eating index within the Food4Me study. Public Health Nutrition 2016;19(18):3296
    CrossRef
  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
    CrossRef
  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
    CrossRef
  49. Forster H, Walsh MC, O'Donovan CB, Woolhead C, McGirr C, Daly E, O'Riordan R, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou CP, Godlewska M, Surwiłło A, Gjelstad IMF, Drevon CA, Manios Y, Traczyk I, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, 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
    CrossRef
  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
    CrossRef
  51. Celis-Morales C, Livingstone KM, Marsaux CFM, Macready AL, Fallaize R, O’Donovan CB, Woolhead C, Forster H, Walsh MC, Navas-Carretero S, San-Cristobal R, Tsirigoti L, Lambrinou CP, Mavrogianni C, Moschonis G, Kolossa S, Hallmann J, Godlewska M, Surwiłło A, Traczyk I, Drevon CA, Bouwman J, van Ommen B, Grimaldi K, Parnell LD, Matthews JN, Manios Y, Daniel H, Martinez JA, Lovegrove JA, Gibney ER, Brennan L, Saris WHM, Gibney M, Mathers; JC. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4me European randomized controlled trial. International Journal of Epidemiology 2016;:dyw186
    CrossRef
  52. San-Cristobal R, Navas-Carretero S, Celis-Morales C, Livingstone KM, Stewart-Knox B, Rankin A, Macready AL, Fallaize R, O’Donovan CB, Forster H, Woolhead C, Walsh MC, Lambrinou CP, Moschonis G, Manios Y, Jarosz M, Daniel H, Gibney ER, Brennan L, Gundersen TE, Drevon CA, Gibney M, Marsaux CFM, Saris WHM, Lovegrove JA, Frewer LJ, Mathers JC, Martinez JA. 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)
    CrossRef
  53. Timon CM, van den Barg R, Blain RJ, Kehoe L, Evans K, Walton J, Flynn A, Gibney ER. A review of the design and validation of web- and computer-based 24-h dietary recall tools. Nutrition Research Reviews 2016;29(2):268
    CrossRef
  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
    CrossRef
  55. Livingstone KM, Celis‐Morales C, Hoeller U, Lambrinou CP, Moschonis G, Macready AL, Fallaize R, Baur M, Roos FF, Bendik I, Grimaldi K, Navas‐Carretero S, San‐Cristobal R, Weber P, Drevon CA, Manios Y, Traczyk I, Gibney ER, Lovegrove JA, Saris WH, Daniel H, Gibney M, Martinez JA, Brennan L, Hill TR, Mathers JC. 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)
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  59. Riordan F, Ryan K, Perry IJ, Schulze MB, Andersen LF, Geelen A, van’t Veer P, Eussen S, van Dongen M, Wijckmans-Duysens N, Harrington JM. 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
    CrossRef
  60. Pendergast FJ, Leech RM, McNaughton SA. Novel Online or Mobile Methods to Assess Eating Patterns. Current Nutrition Reports 2017;6(3):212
    CrossRef
  61. Gila-Díaz A, Arribas SM, López de Pablo L, López-Giménez MR, 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
    CrossRef
  62. Forster H, Walsh MC, Gibney MJ, Brennan L, Gibney ER. Personalised nutrition: the role of new dietary assessment methods. Proceedings of the Nutrition Society 2016;75(1):96
    CrossRef
  63. Fallaize R, Celis-Morales C, Macready AL, Marsaux CF, Forster H, O’Donovan C, Woolhead C, San-Cristobal R, Kolossa S, Hallmann J, Mavrogianni C, Surwillo A, Livingstone KM, Moschonis G, Navas-Carretero S, Walsh MC, Gibney ER, Brennan L, Bouwman J, Grimaldi K, Manios Y, Traczyk I, Drevon CA, Martinez JA, Daniel H, Saris WH, Gibney MJ, Mathers JC, Lovegrove JA. 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
    CrossRef
  64. Vu T, Lin F, Alshurafa N, Xu W. Wearable Food Intake Monitoring Technologies: A Comprehensive Review. Computers 2017;6(1):4
    CrossRef
  65. Walker C, Gibney ER, Hellweg S. Comparison of Environmental Impact and Nutritional Quality among a European Sample Population – findings from the Food4Me study. Scientific Reports 2018;8(1)
    CrossRef
  66. Baspinar B, Özçelik A. Comparison of commonly used dietary assessment methods in individuals without obesity. Nutrition & Food Science 2021;51(3):560
    CrossRef
  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
    CrossRef
  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
    CrossRef
  69. Manios Y, Moschonis G, Lambrinou CP, Mavrogianni C, Tsirigoti L, Hoeller U, Roos FF, Bendik I, Eggersdorfer M, Celis-Morales C, Livingstone KM, Marsaux CFM, Macready AL, Fallaize R, O’Donovan CB, Woolhead C, Forster H, Walsh MC, Navas-Carretero S, San-Cristobal R, Kolossa S, Hallmann J, Jarosz M, Surwiłło A, Traczyk I, Drevon CA, van Ommen B, Grimaldi K, Matthews JNS, Daniel H, Martinez JA, Lovegrove JA, Gibney ER, Brennan L, Saris WHM, Gibney M, Mathers JC. 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
    CrossRef
  70. Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, O’Donovan CB, Forster H, Woolhead C, Marsaux CFM, Macready AL, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WH, Daniel H, Gibney M, Mathers JC. Profile of European adults interested in internet-based personalised nutrition: the Food4Me study. European Journal of Nutrition 2016;55(2):759
    CrossRef
  71. Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, O’Donovan CB, Woolhead C, Marsaux CFM, Macready AL, Fallaize R, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Martinez JA, Saris WHM, Daniel H, Gibney M, Mathers JC. 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
    CrossRef
  72. Timon CM, Blain RJ, McNulty B, Kehoe L, Evans K, Walton J, Flynn A, Gibney ER. 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
    CrossRef
  73. Ryan NM, O'Donovan CB, Forster H, Woolhead C, Walsh MC. New tools for personalised nutrition: The Food4Me project. Nutrition Bulletin 2015;40(2):134
    CrossRef
  74. Celis-Morales C, Livingstone KM, Affleck A, Navas-Carretero S, San-Cristobal R, Martinez JA, Marsaux CFM, Saris WHM, O’Donovan CB, Forster H, Woolhead C, Gibney ER, Walsh MC, Brennan L, Gibney M, Moschonis G, Lambrinou C, Mavrogianni C, Manios Y, Macready AL, Fallaize R, Lovegrove JA, Kolossa S, Daniel H, Traczyk I, Drevon CA, Mathers JC. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  77. Hooson (Jzh) J, Hutchinson (Jyh) J, Warthon-Medina M, Hancock N, Greathead K, Knowles B, Vargas-Garcia E, Gibson LE, Bush LA, Margetts B, Robinson S, Ness A, Alwan NA, Wark PA, Roe M, Finglas P, Steer T, Page P, Johnson L, Roberts K, Amoutzopoulos B, Burley VJ, Greenwood DC, Cade JE. 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
    CrossRef
  78. Celis-Morales C, Livingstone KM, Marsaux CFM, Forster H, O’Donovan CB, Woolhead C, Macready AL, Fallaize R, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Grimaldi K, Bouwman J, Daly EJ, Akujobi V, O’Riordan R, Hoonhout J, Claassen A, Hoeller U, Gundersen TE, Kaland SE, Matthews JNS, Manios Y, Traczyk I, Drevon CA, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Alfredo Martinez J, Saris WHM, Daniel H, Gibney M, Mathers JC. 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)
    CrossRef
  79. Alawadhi B, Fallaize R, Franco RZ, 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
    CrossRef
  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)
    CrossRef
  81. Martínez-Martínez MI, 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
    CrossRef
  82. Timon CM, Walton J, Flynn A, Gibney ER. 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
    CrossRef
  83. Blaurock J, Kaiser B, Stelzl T, Weech M, Fallaize R, Franco RZ, Hwang F, Lovegrove J, Finglas PM, 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
    CrossRef
  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
    CrossRef
  85. Apostolopoulou A, Magriplis E, Tsekitsidi E, Oikonomidou AC, 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
    CrossRef
  86. Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Forster H, Woolhead C, O’Donovan CB, Moschonis G, Manios Y, Traczyk I, Gundersen TE, Drevon CA, Marsaux CFM, Fallaize R, Macready AL, Daniel H, Saris WHM, Lovegrove JA, Gibney M, Gibney ER, Walsh M, Brennan L, Martinez JA, Mathers JC. 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)
    CrossRef
  87. Watkins S, Freeborn E, Mushtaq S. A validated FFQ to determine dietary intake of vitamin D. Public Health Nutrition 2021;24(13):4001
    CrossRef
  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
    CrossRef
  89. O’Hara C, O’Sullivan A, Gibney ER. A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data. The Journal of Nutrition 2022;152(10):2297
    CrossRef
  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
    CrossRef
  91. El Mesmoudi N, Al Dhaheri AS, Feehan J, Stojanovska L, Ali HI, 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
    CrossRef
  92. Kim J, Kim H, Lee J, Ko H, Jung S, Kim HJ, 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
    CrossRef
  93. Murakami K, Shinozaki N, Masayasu S, Livingstone MBE. 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
    CrossRef
  94. Akpınar , 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  97. Wu J, Fuchs K, Lian J, Haldimann ML, 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
    CrossRef
  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
    CrossRef
  99. Dorrington N, Fallaize R, Hobbs D, Weech M, Lovegrove JA. 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
    CrossRef
  100. Tanweer A, Khan S, Mustafa FN, 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
    CrossRef
  101. Lai JS, Loh J, Toh JY, Sugianto R, Colega M, Tan KH, Yap FKP, Chong Y, Godfrey KM, Chong MF. 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
    CrossRef
  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)
    CrossRef
  103. Carlsen MH, Andersen LF, Hjartåker A. Reproducibility and feasibility of an online self-administered food frequency questionnaire for use among adult Norwegians. Food & Nutrition Research 2021;65
    CrossRef
  104. Navas-Carretero S, San-Cristobal R, Alvarez-Alvarez I, Celis-Morales C, Livingstone KM, O’Donovan CB, Mavrogianni C, Lambrinou CP, Manios Y, Traczyck I, Drevon CA, Marsaux CF, Saris WH, Fallaize R, Macready AL, Lovegrove JA, Gundersen TE, Walsh M, Brennan L, Gibney ER, Gibney M, Mathers JC, Martinez JA. Interactions of Carbohydrate Intake and Physical Activity with Regulatory Genes Affecting Glycaemia: A Food4Me Study Analysis. Lifestyle Genomics 2021;14(3):63
    CrossRef
  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
    CrossRef
  106. Livingstone KM, Brayner B, Celis-Morales C, Moschonis G, Manios Y, Traczyk I, Drevon CA, Daniel H, Saris WHM, Lovegrove JA, Gibney M, Gibney ER, Brennan L, Martinez JA, Mathers JC. Associations between dietary patterns, FTO genotype and obesity in adults from seven European countries. European Journal of Nutrition 2022;61(6):2953
    CrossRef
  107. Das SK, Miki AJ, Blanchard CM, Sazonov E, Gilhooly CH, Dey S, Wolk CB, Khoo CSH, Hill JO, Shook RP. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Advances in Nutrition 2022;13(1):1
    CrossRef
  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
    CrossRef
  109. Song S, Kim B, Pang Y, Kim O, Lee JE. Reproducibility of a food frequency questionnaire: Korea Nurses' Health Study. Nutrition Research and Practice 2022;16(1):106
    CrossRef
  110. Gioia SC, Guirette M, Chen A, Tucker C, Gray BE, Vetter C, Garaulet M, Scheer FA, Saxena R, Dashti HS. 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
    CrossRef
  111. Kusuma JD, Yang H, Yang Y, Chen Z, Shiao SPK. Validating Accuracy of a Mobile Application against Food Frequency Questionnaire on Key Nutrients with Modern Diets for mHealth Era. Nutrients 2022;14(3):537
    CrossRef
  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
    CrossRef
  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
    CrossRef
  114. Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Macready AL, Fallaize R, Forster H, Woolhead C, O’Donovan CB, Marsaux CF, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Saris WH, Daniel H, Gibney M, Martinez JA, Mathers JC. 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
    CrossRef
  115. Khan MI, Acharya B, Chaurasiya RK. Automatic Prediction of Glycemic Index Category from Food Images Using Machine Learning Approaches. Arabian Journal for Science and Engineering 2022;47(8):10823
    CrossRef
  116. Zenun Franco R, Fallaize R, Weech M, Hwang F, Lovegrove JA. 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
    CrossRef
  117. Rostgaard-Hansen AL, Rosthøj S, Brunius C, Olsen SF, Bjerregaard AA, Cade JE, 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
    CrossRef
  118. Smiliotopoulos T, Zampelas A, Houliaras G, Sgouros SN, Michas G, Bamias G, Panagiotakos D, Cholopoulos N, Chrousos GP, 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
    CrossRef
  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
    CrossRef
  120. Sebastiá-Rico J, Soriano JM, Sanchis-Chordà J, Alonso-Calvar M, López-Mateu P, Romero-García D, Martínez-Sanz JM. Dietary Habits of Elite Soccer Players: Variations According to Competitive Level, Playing Position and Sex. Nutrients 2023;15(20):4323
    CrossRef
  121. . Readiness, resilience, and engagement: Analyzing the core building blocks of online education. Education and Information Technologies 2024;
    CrossRef

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