Cade, Janet E., Warthon-Medina, Marisol, Albar, Salwa, Alwan, Nisreen A., Ness, Andrew, Roe, Mark, Wark, Petra A., Greathead, Katharine, Burley, Victoria J., Finglas, Paul, Johnson, Laura, Page, Polly, Roberts, Katharine, Steer, Toni, Hooson, Jozef, Greenwood, Darren C. and Robinson, Sian and on behalf of the DIET@NET consortium (2017) DIET@NET: Best Practice Guidelines for dietary assessment in health research. BMC Medicine, 15 (1). ISSN 1741-7015
Full text not available from this repository.Abstract
Background: Dietary 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. Methods: The 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. Results: Forty-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. Conclusions: The 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.
Item Type: | Article |
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Additional Information: | Funding: This work was supported by the UK Medical Research Council (Grant number MR/L02019X/1). |
Uncontrolled Keywords: | dietary assessment methods,guidelines,nutrition,nutritional epidemiology,public health,medicine(all),sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2700 |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Centres > Population Health (former - to 2025) Faculty of Medicine and Health Sciences > Research Centres > Public Health |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 14 Jul 2025 08:31 |
Last Modified: | 30 Jul 2025 10:33 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/99898 |
DOI: | 10.1186/s12916-017-0962-x |
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