Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 09.06.14 in Vol 16, No 6 (2014): June

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

Works citing "Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3105):

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

  1. 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
  2. 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
  3. 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
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  7. 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
  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
    CrossRef
  9. 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
  10. 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
  11. 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
  12. 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
  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
    CrossRef
  14. 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
  15. 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
  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
    CrossRef
  17. Fallaize R, Forster H, Macready AL, Walsh MC, Mathers JC, Brennan L, Gibney ER, Gibney MJ, Lovegrove JA. 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
    CrossRef
  18. 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
  19. 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
  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
    CrossRef
  21. Medin AC, Astrup H, Kåsin BM, Andersen LF. 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
    CrossRef
  22. 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
  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
    CrossRef
  24. Wald JP, Asare E, Nakua EK, Nohr D, Lambert C, Riedel S, Gola U, Biesalski HK. Validation of a computer-based analysis tool for real-time dietary assessment within a Ghanaian region. NFS Journal 2019;16:15
    CrossRef
  25. 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
  26. 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
  27. 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
  28. Hasslöf P, Videhult FK, Silfverdal SA, West CE, 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
    CrossRef
  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
    CrossRef
  30. Gardener SL, Rainey-Smith SR, Macaulay SL, Taddei K, Rembach A, Maruff P, Ellis KA, Masters CL, Rowe CC, Ames D, Keogh JB, Martins RN. 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
    CrossRef
  31. 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
  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
    CrossRef
  33. 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
  34. 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
  35. 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
  36. 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
  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
    CrossRef
  38. 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
  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
    CrossRef
  40. 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
  41. 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
  42. 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
  43. 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
  44. Al Marzooqi HM, Burke SJ, Al Ghazali MR, Duffy E, Yousuf MHSA. The development of a food atlas of portion sizes for the United Arab Emirates. Journal of Food Composition and Analysis 2015;43:140
    CrossRef
  45. 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
  46. 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
  47. Boushey CJ, Spoden M, Zhu FM, Delp EJ, Kerr DA. 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
    CrossRef
  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
    CrossRef
  49. 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
  50. . 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
  51. 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
  52. 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
  53. 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
  54. . Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276
    CrossRef
  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
    CrossRef
  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
    CrossRef
  57. 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
  58. 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
  59. 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
  60. 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
  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
    CrossRef
  62. Kang M, Park S, Boushey CJ, Wilkens LR, Monroe KR, Le Marchand L, Kolonel LN, Murphy SP, 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
    CrossRef
  63. Ji Y, Plourde H, Bouzo V, Kilgour RD, Cohen TR. 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
    CrossRef
  64. 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
  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
    CrossRef
  66. 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
  67. 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
  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)
    CrossRef
  69. Amoutzopoulos B, Steer T, Roberts C, Cade JE, Boushey CJ, Collins CE, Trolle E, Boer EJD, 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
    CrossRef
  70. 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
  71. 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
  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
    CrossRef
  73. Watkins S, Freeborn E, Mushtaq S. A validated FFQ to determine dietary intake of vitamin D. Public Health Nutrition 2021;24(13):4001
    CrossRef
  74. 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
  75. J Stewart–Knox B, Rankin A, P Bunting B, J Frewer L, Celis-Morales C, M Livingstone K, Fischer AR, Poínhos R, Kuznesof S, J Gibney M, Mathers JC. Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study. British Food Journal 2022;124(1):314
    CrossRef
  76. 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
  77. 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
  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)
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  81. Rogers B, Somé JW, Bakun P, Adams KP, Bell W, Carroll DA, 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
    CrossRef
  82. 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
  83. . Weekend–Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students. Nutrients 2022;14(14):2811
    CrossRef
  84. Henriksen HB, Knudsen MD, Carlsen MH, 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
    CrossRef
  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
    CrossRef
  86. Béjar LM, García-Perea MD, 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
    CrossRef
  87. Brittain M, Consedine N, Bagot KL, Booth N, Rodda SN. Sugar Habit Hacker: Initial evidence that a planning intervention reduces sugar intake. Journal of Behavioral Addictions 2021;10(3):471
    CrossRef
  88. 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
  89. González-Alzaga B, Hernández AF, 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
    CrossRef
  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
    CrossRef
  91. 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
  92. Béjar LM, Mesa-Rodríguez P, Quintero-Flórez A, Ramírez-Alvarado MDM, García-Perea MD. 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
    CrossRef
  93. Lei C, Tao X, Xiao Y. Dietary Iodine Intake and Related Factors among Secondary School Students in Macao. Healthcare 2023;11(10):1472
    CrossRef
  94. Vitale M, Bruno V, D’Abbronzo G, Rivellese AA, 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
    CrossRef
  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
    CrossRef
  96. Béjar LM, Mesa-Rodríguez P, García-Perea MD. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3105):

  1. Barnett M, Ferguson L. Molecular Diagnostics. 2017. :305
    CrossRef
  2. . Methods in Consumer Research, Volume 2. 2018. :119
    CrossRef
  3. de Las Hazas ML, Dávalos A. Advances in Precision Nutrition, Personalization and Healthy Aging. 2022. Chapter 2:25
    CrossRef