Type

Journal Article

Authors

Lorraine Brennan
Eileen R Gibney
Michael J Gibney
John C Mathers
Julie A Lovegrove
Hannelore Daniel
Wim H M Saris
J Alfredo Martinez
Iwona Traczyk
Yannis Manios
and 22 others

Subjects

Agriculture & Food Science

Topics
saturated fatty acids dietary fiber dietary assessment feedback healthy eating delivery decision tree web based

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study. (2016)

Abstract 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. 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. 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. 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. 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. Clinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6ht5Dgj8I).
Collections Ireland -> University College Dublin -> PubMed

Full list of authors on original publication

Lorraine Brennan, Eileen R Gibney, Michael J Gibney, John C Mathers, Julie A Lovegrove, Hannelore Daniel, Wim H M Saris, J Alfredo Martinez, Iwona Traczyk, Yannis Manios and 22 others

Experts in our system

1
Lorraine Brennan
University College Dublin
Total Publications: 166
 
2
Eileen R Gibney
University College Dublin
Total Publications: 98
 
3
Michael J Gibney
University College Dublin
Total Publications: 102
 
4
John C Mathers
University College Dublin
Total Publications: 33
 
5
Julie A Lovegrove
University College Dublin
Total Publications: 46
 
6
Hannelore Daniel
University College Dublin
Total Publications: 33
 
7
Wim H M Saris
University College Dublin
Total Publications: 39
 
8
J Alfredo Martinez
University College Dublin
Total Publications: 32
 
9
Yannis Manios
University College Dublin
Total Publications: 38