University of Hertfordshire

From the same journal

By the same authors

Documents

  • Hannah Forster
  • Marianne C Walsh
  • Clare B O'Donovan
  • Clara Woolhead
  • Caroline McGirr
  • E J Daly
  • Richard O'Riordan
  • Carlos Celis-Morales
  • Anna L Macready
  • Cyril F M Marsaux
  • Santiago Navas-Carretero
  • Rodrigo San-Cristobal
  • Silvia Kolossa
  • Kai Hartwig
  • Christina Mavrogianni
  • Lydia Tsirigoti
  • Christina P Lambrinou
  • Magdalena Godlewska
  • Agnieszka Surwiłło
  • Ingrid Merethe Fange Gjelstad
  • Christian A Drevon
  • Yannis Manios
  • Iwona Traczyk
  • J Alfredo Martinez
  • Wim H M Saris
  • Hannelore Daniel
  • Julie A Lovegrove
  • John C Mathers
  • Michael J Gibney
  • Eileen R Gibney
  • Lorraine Brennan
View graph of relations
Original languageEnglish
Article numbere150
JournalJournal of Medical Internet Research
Journal publication date30 Jun 2016
Volume18
Issue6
DOIs
Publication statusPublished - 30 Jun 2016

Abstract

BACKGROUND: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.

OBJECTIVE: The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.

METHODS: The development of the dietary feedback system included 4 components: (1) designing a system for categorizing nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3) constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.

RESULTS: Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers. Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%, respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.

CONCLUSIONS: The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems for personalizing dietary advice.

TRIAL REGISTRATION: Clinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6ht5Dgj8I).

Notes

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. © The Authors 2016

ID: 10385339