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Citing this Article

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Published on 11.05.17 in Vol 19, No 5 (2017): May

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

Works citing "The Development, Validation, and User Evaluation of Foodbook24: A Web-Based Dietary Assessment Tool Developed for the Irish Adult Population"

Claire M Timon, Richard J Blain, Breige McNulty, Laura Kehoe, Katie Evans, Janette Walton, Albert Flynn, Eileen R Gibney

J Med Internet Res 2017 (May 11); 19(5):e158 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6407):

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

  1. 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
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  2. . Underreporting of Dietary Intake: Key Issues for Weight Management Clinicians. Current Cardiovascular Risk Reports 2020;14(10)
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  3. 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
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  4. Paulsen MM, Hagen MLL, Frøyen MH, Foss-Pedersen RJ, Bergsager D, Tangvik RJ, Andersen LF. A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App. JMIR mHealth and uHealth 2018;6(9):e175
    CrossRef
  5. Lee H, Kim E, Kim SH, Lim H, Park YM, Kang JH, Kim H, Kim J, Park W, Park S, Kim J, Yang YJ. Validation of nutrient intake of smartphone application through comparison of photographs before and after meals. Journal of Nutrition and Health 2020;53(3):319
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  6. 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
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  7. O’Neill L, Guinan E, Doyle S, Connolly D, O’Sullivan J, Bennett A, Sheill G, Segurado R, Knapp P, Fairman C, Normand C, Geoghegan J, Conlon K, Reynolds JV, Hussey J. Rehabilitation strategies following oesophagogastric and Hepatopancreaticobiliary cancer (ReStOre II): a protocol for a randomized controlled trial. BMC Cancer 2020;20(1)
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  8. Lindroos AK, Petrelius Sipinen J, Axelsson C, Nyberg G, Landberg R, Leanderson P, Arnemo M, Warensjö Lemming E. Use of a Web-Based Dietary Assessment Tool (RiksmatenFlex) in Swedish Adolescents: Comparison and Validation Study. Journal of Medical Internet Research 2019;21(10):e12572
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  9. Conrad J, Koch SA, Nöthlings U. New approaches in assessing food intake in epidemiology. Current Opinion in Clinical Nutrition & Metabolic Care 2018;21(5):343
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  10. Okuda M, Asakura K, Sasaki S. Protein Intake Estimated from Brief-Type Self-Administered Diet History Questionnaire and Urinary Urea Nitrogen Level in Adolescents. Nutrients 2019;11(2):319
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  11. 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)
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  12. Bradley J, West-Sadler S, Foster E, Sommerville J, Allen R, Stephen AM, Adamson AJ, de Souza RJ. Feasibility of an estimated method using graduated utensils to estimate food portion size in infants aged 4 to 18 months. PLOS ONE 2018;13(6):e0197591
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  13. Savard C, Lemieux S, Lafrenière J, Laramée C, Robitaille J, Morisset A. Validation of a self-administered web-based 24-hour dietary recall among pregnant women. BMC Pregnancy and Childbirth 2018;18(1)
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  14. O'Neill L, Guinan E, Doyle SL, O'Connor L, Sheill G, Smyth E, Fairman CM, Segurado R, Connolly D, O'Sullivan J, Reynolds JV, Hussey J. ReStOre@Home: Feasibility study of a virtually delivered 12-week multidisciplinary rehabilitation programme for survivors of upper gastrointestinal (UGI) cancer - study protocol. HRB Open Research 2020;3:86
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  15. 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
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  16. 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
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  17. Blanchard CM, Chin MK, Gilhooly CH, Barger K, Matuszek G, Miki AJ, Côté RG, Eldridge AL, Green H, Mainardi F, Mehers D, Ronga F, Steullet V, Das SK. Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. The Journal of Nutrition 2021;151(5):1347
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  18. O'Neill L, Guinan E, Brennan L, Doyle SL, O'Connor L, Sheill G, Smyth E, Fairman CM, Segurado R, Connolly D, O'Sullivan J, Reynolds JV, Hussey J. ReStOre@Home: Feasibility study of a virtually delivered 12-week multidisciplinary rehabilitation programme for survivors of upper gastrointestinal (UGI) cancer - study protocol. HRB Open Research 2021;3:86
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  19. Koch SAJ, Conrad J, Cade JE, Weinhold L, Alexy U, Nöthlings U. Validation of the web-based self-administered 24-h dietary recall myfood24-Germany: comparison with a weighed dietary record and biomarkers. European Journal of Nutrition 2021;60(7):4069
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  20. Chan V, Davies A, Wellard-Cole L, Lu S, Ng H, Tsoi L, Tiscia A, Signal L, Rangan A, Gemming L, Allman-Farinelli M. Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App. Nutrients 2021;13(6):1806
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  21. Saronga N, Mosha IH, Stewart SJ, Bakar S, Sunguya BF, Burrows TL, Leyna GH, Adam MTP, Collins CE, Rollo ME. A Mixed-Method Study Exploring Experiences and Perceptions of Nutritionists Regarding Use of an Image-Based Dietary Assessment System in Tanzania. Nutrients 2022;14(3):417
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  22. 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)
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  23. Lee H, Huang T, Yen L, Wu P, Chen K, Kung H, Liu C, Hsu C. Precision Nutrient Management Using Artificial Intelligence Based on Digital Data Collection Framework. Applied Sciences 2022;12(9):4167
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  24. 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
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  25. Azzano P, Samier L, Lachaux A, Truc FV, Béghin L. Pilot Study of the Applicability, Usability, and Accuracy of the Nutricate© Online Application, a New Dietary Intake Assessment Tool for Managing Infant Cow’s Milk Allergy. Nutrients 2023;15(4):1045
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  26. Wiemker V, Neufeld M, Bunova A, Danquah I, Ferreira-Borges C, Konigorski S, Rastogi A, Probst C. Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review. Journal of Medical Internet Research 2022;24(3):e28927
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  27. Timon C, Keogh O, Heffernan E, Lee H, Hussey P, Murphy C, Smeaton A. The use of Internet of Things (IoT) technology for identification of eating events in an older adult population, a proof-of-concept study. Proceedings of the Nutrition Society 2022;81(OCE5)
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  28. 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
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  29. Stewart C, Bianchi F, Frie K, Jebb SA. Comparison of Three Dietary Assessment Methods to Estimate Meat Intake as Part of a Meat Reduction Intervention among Adults in the UK. Nutrients 2022;14(3):411
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  30. Brennan L, Sadeghi F, O’Neill L, Guinan E, Smyth L, Sheill G, Smyth E, Doyle SL, Timon CM, Connolly D, O’Sullivan J, Reynolds JV, Hussey J. Telehealth Delivery of a Multi-Disciplinary Rehabilitation Programme for Upper Gastro-Intestinal Cancer: ReStOre@Home Feasibility Study. Cancers 2022;14(11):2707
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  31. Lucassen DA, Brouwer-Brolsma EM, Slotegraaf AI, Kok E, Feskens EJM. DIetary ASSessment (DIASS) Study: Design of an Evaluation Study to Assess Validity, Usability and Perceived Burden of an Innovative Dietary Assessment Methodology. Nutrients 2022;14(6):1156
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  32. Tricás-Vidal HJ, Vidal-Peracho MC, Lucha-López MO, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno JM. Association between Body Mass Index and the Use of Digital Platforms to Record Food Intake: Cross-Sectional Analysis. Applied Sciences 2022;12(23):12144
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  33. Gazan R, Vieux F, Mora S, Havard S, Dubuisson C. Potential of existing online 24-h dietary recall tools for national dietary surveys. Public Health Nutrition 2021;24(16):5361
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  34. Scott JL, Vijayakumar A, Woodside JV, Neville CE. Feasibility of wearable camera use to improve the accuracy of dietary assessment among adults. Journal of Nutritional Science 2022;11
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  35. Yang S, Bennett G, Bardon L, Feeney E, Gibney E. Validation of a developed online 24-h dietary recall tool (Foodbook24) in a Chinese population in Ireland: preliminary results from a comparison study. Proceedings of the Nutrition Society 2022;81(OCE4)
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  36. Ramírez-Contreras C, Farran-Codina A, Zerón-Rugerio MF, Izquierdo-Pulido M. Relative Validity and Reliability of the Remind App as an Image-Based Method to Assess Dietary Intake and Meal Timing in Young Adults. Nutrients 2023;15(8):1824
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  37. Murai U, Tajima R, Matsumoto M, Sato Y, Horie S, Fujiwara A, Koshida E, Okada E, Sumikura T, Yokoyama T, Ishikawa M, Kurotani K, Takimoto H. Validation of Dietary Intake Estimated by Web-Based Dietary Assessment Methods and Usability Using Dietary Records or 24-h Dietary Recalls: A Scoping Review. Nutrients 2023;15(8):1816
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  38. . Teaching Health Literacy and Digital Literacy Together at University Level: The FLOURISH Module. Health Education & Behavior 2023;50(5):622
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  39. Scully H, McCarroll K, Healy M, Walsh JB, Laird E. Vitamin D intake and status in Ireland: a narrative review. Proceedings of the Nutrition Society 2023;82(2):157
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  40. Pigat S, Soshina M, Berezhnaya Y, Kryzhanovskaya E. Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study. JMIR Formative Research 2023;7:e41774
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  41. Sharma V, Chadha R. Development and evaluation of food photograph series software for portion size estimation among urban North Indian adults. Mediterranean Journal of Nutrition and Metabolism 2023;16(4):293
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  42. O'Hara C, Gibney ER. Dietary Intake Assessment Using a Novel, Generic Meal–Based Recall and a 24-Hour Recall: Comparison Study. Journal of Medical Internet Research 2024;26:e48817
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