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

Research Instruments, Questionnaires, and Tools (576) Instruments and Questionnaires for Nutrition and Food Intake (166)

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

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

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

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

Authors of this article:

Claire M Timon1 Author Orcid Image ;   Richard J Blain1 Author Orcid Image ;   Breige McNulty1 Author Orcid Image ;   Laura Kehoe2 Author Orcid Image ;   Katie Evans2 Author Orcid Image ;   Janette Walton2 Author Orcid Image ;   Albert Flynn2 Author Orcid Image ;   Eileen R Gibney1 Author Orcid Image
Article Authors Cited by (45) Tweetations (9) Metrics

Journals

  1. 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
  2. Connor S. Underreporting of Dietary Intake: Key Issues for Weight Management Clinicians. Current Cardiovascular Risk Reports 2020;14(10) View
  3. 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
  4. Paulsen M, Hagen M, Frøyen M, Foss-Pedersen R, Bergsager D, Tangvik R, Andersen L. 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 View
  5. Lee H, Kim E, Kim S, Lim H, Park Y, Kang J, Kim H, Kim J, Park W, Park S, Kim J, Yang Y. Validation of nutrient intake of smartphone application through comparison of photographs before and after meals. Journal of Nutrition and Health 2020;53(3):319 View
  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 View
  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 J, Hussey J. Rehabilitation strategies following oesophagogastric and Hepatopancreaticobiliary cancer (ReStOre II): a protocol for a randomized controlled trial. BMC Cancer 2020;20(1) View
  8. Lindroos A, 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 View
  9. Conrad J, Koch S, Nöthlings U. New approaches in assessing food intake in epidemiology. Current Opinion in Clinical Nutrition & Metabolic Care 2018;21(5):343 View
  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 View
  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) View
  12. Bradley J, West-Sadler S, Foster E, Sommerville J, Allen R, Stephen A, Adamson A, de Souza R. 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 View
  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) View
  14. O'Neill L, Guinan E, Doyle S, O'Connor L, Sheill G, Smyth E, Fairman C, Segurado R, Connolly D, O'Sullivan J, Reynolds J, 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 View
  15. 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
  16. Timon C, Walton J, Flynn A, Gibney E. Respondent Characteristics and Dietary Intake Data Collected Using Web-Based and Traditional Nutrition Surveillance Approaches: Comparison and Usability Study. JMIR Public Health and Surveillance 2021;7(4):e22759 View
  17. Blanchard C, Chin M, Gilhooly C, Barger K, Matuszek G, Miki A, Côté R, Eldridge A, Green H, Mainardi F, Mehers D, Ronga F, Steullet V, Das S. Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. The Journal of Nutrition 2021;151(5):1347 View
  18. O'Neill L, Guinan E, Brennan L, Doyle S, O'Connor L, Sheill G, Smyth E, Fairman C, Segurado R, Connolly D, O'Sullivan J, Reynolds J, 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 View
  19. Koch S, Conrad J, Cade J, 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 View
  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 View
  21. Saronga N, Mosha I, Stewart S, Bakar S, Sunguya B, Burrows T, Leyna G, Adam M, Collins C, Rollo M. 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 View
  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) View
  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 View
  24. O’Hara C, O’Sullivan A, Gibney E. A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data. The Journal of Nutrition 2022;152(10):2297 View
  25. Azzano P, Samier L, Lachaux A, Truc F, 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 View
  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 View
  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) View
  28. Kim J, Kim H, Lee J, Ko H, Jung S, Kim H, Wie G, Kim Y. Comparison of Energy and Macronutrients Between a Mobile Application and a Conventional Dietary Assessment Method in Korea. Journal of the Academy of Nutrition and Dietetics 2022;122(11):2127 View
  29. Stewart C, Bianchi F, Frie K, Jebb S. 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 View
  30. Brennan L, Sadeghi F, O’Neill L, Guinan E, Smyth L, Sheill G, Smyth E, Doyle S, Timon C, Connolly D, O’Sullivan J, Reynolds J, Hussey J. Telehealth Delivery of a Multi-Disciplinary Rehabilitation Programme for Upper Gastro-Intestinal Cancer: ReStOre@Home Feasibility Study. Cancers 2022;14(11):2707 View
  31. Lucassen D, Brouwer-Brolsma E, Slotegraaf A, Kok E, Feskens E. 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 View
  32. Tricás-Vidal H, Vidal-Peracho M, Lucha-López M, Hidalgo-García C, Monti-Ballano S, Márquez-Gonzalvo S, Tricás-Moreno J. Association between Body Mass Index and the Use of Digital Platforms to Record Food Intake: Cross-Sectional Analysis. Applied Sciences 2022;12(23):12144 View
  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 View
  34. Scott J, Vijayakumar A, Woodside J, Neville C. Feasibility of wearable camera use to improve the accuracy of dietary assessment among adults. Journal of Nutritional Science 2022;11 View
  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) View
  36. Ramírez-Contreras C, Farran-Codina A, Zerón-Rugerio M, 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 View
  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 View
  38. Smeaton A. Teaching Health Literacy and Digital Literacy Together at University Level: The FLOURISH Module. Health Education & Behavior 2023;50(5):622 View
  39. Scully H, McCarroll K, Healy M, Walsh J, Laird E. Vitamin D intake and status in Ireland: a narrative review. Proceedings of the Nutrition Society 2023;82(2):157 View
  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 View
  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 View
  42. O'Hara C, Gibney E. 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 View
  43. Timon C, Evans K, Kehoe L, Blain R, Flynn A, Gibney E, Walton J. Comparison of a Web-Based 24-h Dietary Recall Tool (Foodbook24) to an Interviewer-Led 24-h Dietary Recall. Nutrients 2017;9(5):425 View
  44. Liang Y, Xiao R, Huang F, Lin Q, Guo J, Zeng W, Dong J. AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition. Computers in Biology and Medicine 2024;178:108711 View