Literature DB >> 22898338

Automation of Food Questionnaires in Medical Studies: a state-of-the-art review and future prospects.

Zoe Falomir1, María Arregui, Francisco Madueño, Dolores Corella, Óscar Coltell.   

Abstract

Applications for automating the most commonly used dietary surveys in nutritional research, Food Frequency Questionnaires (FFQs) and 24 h Dietary Recalls (24HDRs), are reviewed in this paper. A comprehensive search of electronic databases was carried out and findings were classified by a group of experts in nutrition and computer science into: (i) Computerized Questionnaires and Web-based Questionnaires; (ii) FFQs and 24HDRs and combinations of both; and (iii) interviewer-administered or self-administered questionnaires. A discussion on the classification made and the works reported is included. Finally, works that apply innovative technologies are outlined and the future trends for automating questionnaires in nutrition are identified.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22898338     DOI: 10.1016/j.compbiomed.2012.07.008

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  20 in total

1.  Urine excretion of caffeine and select caffeine metabolites is common in the U.S. population and associated with caffeine intake.

Authors:  Michael E Rybak; Maya R Sternberg; Ching-I Pao; Namanjeet Ahluwalia; Christine M Pfeiffer
Journal:  J Nutr       Date:  2015-02-04       Impact factor: 4.798

Review 2.  Considerations in selection of diet assessment methods for examining the effect of nutrition on cognition.

Authors:  K Zuniga; E McAuley
Journal:  J Nutr Health Aging       Date:  2015-03       Impact factor: 4.075

3.  Evaluation of web-based, self-administered, graphical food frequency questionnaire.

Authors:  Alan R Kristal; Ann S Kolar; James L Fisher; Jesse J Plascak; Phyllis J Stumbo; Rick Weiss; Electra D Paskett
Journal:  J Acad Nutr Diet       Date:  2014-01-24       Impact factor: 4.910

Review 4.  Analysis of energy metabolism in humans: A review of methodologies.

Authors:  Yan Y Lam; Eric Ravussin
Journal:  Mol Metab       Date:  2016-09-20       Impact factor: 7.422

5.  The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire.

Authors:  Luis Maria Bejar; Brett Northrop Sharp; María Dolores García-Perea
Journal:  JMIR Res Protoc       Date:  2016-11-02

6.  Development of a Web-Based 24-h Dietary Recall for a French-Canadian Population.

Authors:  Simon Jacques; Simone Lemieux; Benoît Lamarche; Catherine Laramée; Louise Corneau; Annie Lapointe; Maude Tessier-Grenier; Julie Robitaille
Journal:  Nutrients       Date:  2016-11-15       Impact factor: 5.717

7.  The Impact of Health Literacy Status on the Comparative Validity and Sensitivity of an Interactive Multimedia Beverage Intake Questionnaire.

Authors:  Lucy P Hooper; Emily A Myers; Jamie M Zoellner; Brenda M Davy; Valisa E Hedrick
Journal:  Nutrients       Date:  2016-12-23       Impact factor: 5.717

Review 8.  Scaling up Dietary Data for Decision-Making in Low-Income Countries: New Technological Frontiers.

Authors:  Winnie Bell; Brooke A Colaiezzi; Cathleen S Prata; Jennifer C Coates
Journal:  Adv Nutr       Date:  2017-11-15       Impact factor: 8.701

9.  A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics.

Authors:  Rodrigo Zenun Franco; Balqees Alawadhi; Rosalind Fallaize; Julie A Lovegrove; Faustina Hwang
Journal:  JMIR Hum Factors       Date:  2017-05-08

10.  Online dietary intake estimation: the Food4Me food frequency questionnaire.

Authors:  Hannah Forster; Rosalind Fallaize; Caroline Gallagher; Clare B O'Donovan; Clara Woolhead; Marianne C Walsh; Anna L Macready; Julie A Lovegrove; John C Mathers; Michael J Gibney; Lorraine Brennan; Eileen R Gibney
Journal:  J Med Internet Res       Date:  2014-06-09       Impact factor: 5.428

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