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

Research Instruments, Questionnaires, and Tools (586) Instruments and Questionnaires for Nutrition and Food Intake (168)

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

Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Authors of this article:

Hannah Forster1 Author Orcid Image ;   Rosalind Fallaize2 ;   Caroline Gallagher1 ;   Clare B O’Donovan1 ;   Clara Woolhead1 ;   Marianne C Walsh1 ;   Anna L Macready2 Author Orcid Image ;   Julie A Lovegrove2 Author Orcid Image ;   John C Mathers3 ;   Michael J Gibney1 ;   Lorraine Brennan1 Author Orcid Image ;   Eileen R Gibney1 Author Orcid Image
Article Authors Cited by (106) Tweetations (9) Metrics

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  71. Alawadhi B, Fallaize R, Franco R, Hwang F, Lovegrove J. Web-Based Dietary Intake Estimation to Assess the Reproducibility and Relative Validity of the EatWellQ8 Food Frequency Questionnaire: Validation Study. JMIR Formative Research 2021;5(3):e13591 View
  72. Huybrechts I, Miglio R, Mistura L, Grioni S, Pozzebon I, Odorifero C, Borea R, Gitto A, Terrafino M, Scipioni M, Turrini A, Krogh V, Ricci S, Martucci G, Longhi A. Relative Validity of an Italian EPIC Food Frequency Questionnaire for Dietary Factors in Children and Adolescents. A Rizzoli Orthopedic Institute Study. Nutrients 2021;13(4):1245 View
  73. Watkins S, Freeborn E, Mushtaq S. A validated FFQ to determine dietary intake of vitamin D. Public Health Nutrition 2021;24(13):4001 View
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  75. J Stewart–Knox B, Rankin A, P Bunting B, J Frewer L, Celis-Morales C, M Livingstone K, Fischer A, Poínhos R, Kuznesof S, J Gibney M, Mathers J. Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study. British Food Journal 2022;124(1):314 View
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  78. Bennett G, Bardon L, McAteer C, Gibney E. Development of a mapping and merging framework to address data fragmentation in nutritional research: FNS Cloud project. Proceedings of the Nutrition Society 2022;81(OCE4) View
  79. Tousen Y, Shimomura C, Yasudomi A, Kaneda Y, Nishiwaki N, Fujita M, Oya H, Kobori T, Kobori M, Takimoto H. Identification of Factors Necessary for Enabling Technology-Based Dietary Record Surveys: A Qualitative Focus Group Interview with Japanese Dietitians. Nutrients 2022;14(20):4357 View
  80. Bardon L, Bennett G, McAteer C, Yang S, Gibney E. Development of a first-generation Food Cloud for data, tools and services related to the nutrition, health and agri-food sciences–contributions from UCD to the Food Nutrition Security Cloud (FNS-Cloud) project. Proceedings of the Nutrition Society 2022;81(OCE4) View
  81. Rogers B, Somé J, Bakun P, Adams K, Bell W, Carroll D, Wafa S, Coates J. Validation of the INDDEX24 mobile app v. a pen-and-paper 24-hour dietary recall using the weighed food record as a benchmark in Burkina Faso. British Journal of Nutrition 2022;128(9):1817 View
  82. Livingstone K, Brayner B, Celis-Morales C, Moschonis G, Manios Y, Traczyk I, Drevon C, Daniel H, Saris W, Lovegrove J, Gibney M, Gibney E, Brennan L, Martinez J, Mathers J. Associations between dietary patterns, FTO genotype and obesity in adults from seven European countries. European Journal of Nutrition 2022;61(6):2953 View
  83. Béjar L. Weekend–Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students. Nutrients 2022;14(14):2811 View
  84. Henriksen H, Knudsen M, Carlsen M, Hjartåker A, Blomhoff R. A Short Digital Food Frequency Questionnaire (DIGIKOST-FFQ) Assessing Dietary Intake and Other Lifestyle Factors Among Norwegians: Qualitative Evaluation With Focus Group Interviews and Usability Testing. JMIR Formative Research 2022;6(11):e35933 View
  85. Wang W, Min W, Li T, Dong X, Li H, Jiang S. A review on vision-based analysis for automatic dietary assessment. Trends in Food Science & Technology 2022;122:223 View
  86. Béjar L, García-Perea M, Mesa-Rodríguez P. Evaluation of an Application for Mobile Telephones (e-12HR) to Increase Adherence to the Mediterranean Diet in University Students: A Controlled, Randomized and Multicentric Study. Nutrients 2022;14(19):4196 View
  87. Brittain M, Consedine N, Bagot K, Booth N, Rodda S. Sugar Habit Hacker: Initial evidence that a planning intervention reduces sugar intake. Journal of Behavioral Addictions 2021;10(3):471 View
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  90. Kaiser B, Stelzl T, Finglas P, Gedrich K. The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences. JMIR Formative Research 2022;6(8):e34497 View
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  92. Béjar L, Mesa-Rodríguez P, Quintero-Flórez A, Ramírez-Alvarado M, García-Perea M. Effectiveness of a Smartphone App (e-12HR) in Improving Adherence to the Mediterranean Diet in Spanish University Students by Age, Gender, Field of Study, and Body Mass Index: A Randomized Controlled Trial. Nutrients 2023;15(7):1688 View
  93. Lei C, Tao X, Xiao Y. Dietary Iodine Intake and Related Factors among Secondary School Students in Macao. Healthcare 2023;11(10):1472 View
  94. Vitale M, Bruno V, D’Abbronzo G, Rivellese A, Bozzetto L, Scidà G, Annuzzi G. Evaluation of eating habits by 7-day food record: web-PC vs. traditional paper format. International Journal of Food Sciences and Nutrition 2023;74(4):580 View
  95. Shi J, Han Q, Cao Z, Wang Z. DeepTrayMeal: Automatic dietary assessment for Chinese tray meals based on deep learning. Food Chemistry 2024;434:137525 View
  96. Béjar L, Mesa-Rodríguez P, García-Perea M. Short-Term Effect of a Health Promotion Intervention Based on the Electronic 12-Hour Dietary Recall (e-12HR) Smartphone App on Adherence to the Mediterranean Diet Among Spanish Primary Care Professionals: Randomized Controlled Clinical Trial. JMIR mHealth and uHealth 2024;12:e49302 View
  97. Lawson I, Wood C, Syam N, Rippin H, Dagless S, Wickramasinghe K, Amoutzopoulos B, Steer T, Key T, Papier K. Assessing Performance of Contemporary Plant-Based Diets against the UK Dietary Guidelines: Findings from the Feeding the Future (FEED) Study. Nutrients 2024;16(9):1336 View
  98. Henriksen H, Knudsen M, Hjartåker A, Blomhoff R, Carlsen M. Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food–Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study. Journal of Medical Internet Research 2024;26:e53442 View
  99. Davies K, Gibney E, Leonard U, Lindberg L, Woodside J, Kiely M, Nugent A, Arranz E, Conway M, McCarthy S, O’Sullivan A. Developing and testing personalised nutrition feedback for more sustainable healthy diets: the MyPlanetDiet randomised controlled trial protocol. European Journal of Nutrition 2024;63(7):2681 View
  100. Béjar L. Adherence to the Mediterranean Diet in Association with Self-Perception of Dietary Behavior (Discrepancy between Self-Perceived and Actual Diet Quality): A Cross-Sectional Study among Spanish University Students of Both Genders. Nutrients 2024;16(19):3364 View
  101. Lucassen D, Brouwer-Brolsma E, Boshuizen H, Balvers M, Feskes E. Evaluation of the smartphone-based dietary assessment tool ‘Traqq’ for assessing habitual dietary intake by random 2-hour recalls in adults: comparison with a Food Frequency Questionnaire and blood concentration biomarkers. The Journal of Nutrition 2024 View

Books/Policy Documents

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