Evidence map›Paper›PMID 29137630›Full record

GuidelineBMC medicine2017

DIET@NET: Best Practice Guidelines for dietary assessment in health research.

Janet E Cade, Marisol Warthon-Medina, Salwa Albar, Nisreen A Alwan, Andrew Ness, Mark Roe, Petra A Wark, Katharine Greathead, Victoria J Burley, Paul Finglas and 8 more

Abstract readPractice Guideline
In one paragraph

Guideline in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  7. Associations Between the Cardiovascular Health Diet Index (CHDI) and Cardiometabolic Risk Factors in Brazilian Workers: A Cross-Sectional Study.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Janet E CadeNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK. J.E.Cade@leeds.ac.uk.ORCID 0000-0003-3421-0121
Marisol Warthon-MedinaNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.ORCID 0000-0003-1318-397X
Salwa AlbarDepartment of Food Science and Nutrition, King Abdulaziz University, PO Box 42807, 21551, Jeddah, Saudi Arabia.
Nisreen A AlwanAcademic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, UK.
Andrew NessNIHR Biomedical Research Unit in Nutrition, Diet and Lifestyle, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, BS8 1TH, UK.
Mark RoeQuadram Institute Bioscience, Norwich, NR4 7UA, UK.
Petra A WarkCentre for Innovative Research Across the Life Course (CIRAL), Faculty of Health and Life Sciences, Coventry University, Coventry, CV1 5FB, UK.
Katharine GreatheadNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.
Victoria J BurleyNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.
Paul FinglasQuadram Institute Bioscience, Norwich, NR4 7UA, UK.
Laura JohnsonCentre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 1TH, UK.
Polly PageMRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL, UK.
Katharine RobertsPublic Health Section, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, S10 2TN, UK.
Toni SteerMRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL, UK.
Jozef HoosonNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK.
Darren C GreenwoodFaculty of Medicine and Health, Division of Biostatistics, University of Leeds, Leeds, LS2 9JT, UK.
Sian RobinsonMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK.
DIET@NET consortium

Funding

Medical Research Council MC_U147574218Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/2Medical Research Council MR/L02019X/1
6 · The paper itself

Abstract

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 .

Indexed as

DietNutrition AssessmentBiomedical ResearchDelphi TechniqueHumansDietary assessment methodsGuidelinesNutritionNutritional epidemiologyPublic health

Identifiers

PMID29137630
PMCPMC5686956

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.