Evidence map›Paper›PMID 30428939›Full record

ReviewPublic health nutrition2019

Dietary assessment toolkits: an overview.

Maria Carlota Dao, Amy F Subar, Marisol Warthon-Medina, Janet E Cade, Tracy Burrows, Rebecca K Golley, Nita G Forouhi, Matthew Pearce, Bridget A Holmes

Abstract readReview
In one paragraph

Review in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 5 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

90 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Synergistic Effects of High-Intensity Interval Training andInternational journal of molecular sciences · 2025
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  20. Dietary intervention among young cancer survivors within the CARE for CAYA program.Journal of cancer survivorship : research and practice · 2026
    Article

30 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

9 authors.

Maria Carlota DaoSorbonne University, INSERM, NutriOmics Team, ICAN, Paris, France.ORCID http://orcid.org/0000-0001-6284-7352
Amy F SubarNational Cancer Institute, Division of Cancer Control and Population Sciences, Bethesda, MD, USA.
Marisol Warthon-MedinaNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-1318-397X
Janet E CadeNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-3421-0121
Tracy BurrowsFaculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.
Rebecca K GolleyNutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Matthew PearceMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Bridget A HolmesDanone Nutricia Research, R.D. 128 Avenue de la Vauve, 91767 Palaiseau Cedex, France.

Funding

Department of HealthMedical Research Council G1100235Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/5Medical Research Council MR/L02019X/1
6 · The paper itself

Abstract

objectiveA wide variety of methods are available to assess dietary intake, each one with different strengths and weaknesses. Researchers face multiple challenges when diet and nutrition need to be accurately assessed, particularly in the selection of the most appropriate dietary assessment method for their study. The goal of the current collaborative work is to present a collection of available resources for dietary assessment implementation.Design/Setting/ParticipantsAs a follow-up to the 9th International Conference on Diet and Physical Activity Methods held in 2015, developers of dietary assessment toolkits agreed to collaborate in the preparation of the present paper, which provides an overview of each toolkit. The toolkits presented include: the Diet, Anthropometry and Physical Activity Measurement Toolkit (DAPA; UK); the National Cancer Institute's (NCI) Dietary Assessment Primer (USA); the Nutritools website (UK); the Australasian Child and Adolescent Obesity Research Network (ACAORN) method selector (Australia); and the Danone Dietary Assessment Toolkit (DanoneDAT; France). An at-a-glance summary of features and comparison of the toolkits is provided.

resultsThe present review contains general background on dietary assessment, along with a summary of each of the included toolkits, a feature comparison table and direct links to each toolkit, all of which are freely available online.

conclusionsThis overview of dietary assessment toolkits provides comprehensive information to aid users in the selection and implementation of the most appropriate dietary assessment method, or combination of methods, with the goal of collecting the highest-quality dietary data possible.

Indexed as

Diet SurveysInternetNutrition AssessmentSoftwareAnthropometryEatingHumansDietary assessmentDietary assessment methodDietary intakeToolkit

Identifiers

PMID30428939
PMCPMC6368251

What OpenQuestion holds

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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 OpenQuestion graph.