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Lookup NU author(s): Professor Sian RobinsonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
BackgroundDietary assessment is complex, and strategies to select the most appropriate dietary assessment tool (DAT) in epidemiological research are needed. The DIETary Assessment Tool NETwork (DIET@NET) aimed to establish expert consensus on Best Practice Guidelines (BPGs) for dietary assessment using self-report.MethodsThe BPGs were developed using the Delphi technique. Two Delphi rounds were conducted. A total of 131 experts were invited, and of these 65 accepted, with 48 completing Delphi round I and 51 completing Delphi round II. In all, a total of 57 experts from North America, Europe, Asia and Australia commented on the 47 suggested guidelines.ResultsForty-three guidelines were generated, grouped into the following four stages: Stage I. Define what is to be measured in terms of dietary intake (what? who? and when?); Stage II. Investigate different types of DATs; Stage III. Evaluate existing tools to select the most appropriate DAT by evaluating published validation studies; Stage IV. Think through the implementation of the chosen DAT and consider sources of potential biases.ConclusionsThe Delphi technique consolidated expert views on best practice in assessing dietary intake. The BPGs provide a valuable guide for health researchers to choose the most appropriate dietary assessment method for their studies. These guidelines will be accessible through the Nutritools website, www.nutritools.org.
Author(s): Cade JE, Warthon-Medina M, Albar S, Alwan NA, Ness A, Roe M, Wark PA, Greathead K, Burley VJ, Finglas P, Johnson L, Page P, Roberts K, Steer T, Hooson J, Greenwood DC, Robinson S
Publication type: Article
Publication status: Published
Journal: BMC Medicine
Year: 2017
Volume: 15
Print publication date: 15/11/2017
Acceptance date: 19/10/2017
Date deposited: 11/03/2019
ISSN (electronic): 1741-7015
Publisher: Springer Nature
URL: https://doi.org/10.1186/s12916-017-0962-x
DOI: 10.1186/s12916-017-0962-x
PubMed id: 29137630
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