Evidence map›Paper›PMID 39632717›Full record

ReviewPublic health nutrition2024

Selecting a dietary assessment method for a national nutrition survey: a review and evaluation of online 24-h dietary recall tools.

Berit Follong, Sally Mackay, Cliona Ni Mhurchu

Abstract readReview
In one paragraph

Review in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Berit FollongNational Institute for Health Innovation, The University of Auckland, Auckland1023, New Zealand.ORCID 0000-0002-2818-1363
Sally MackayDepartment of Epidemiology and Biostatistics, School of Population Health, The University of Auckland, Auckland1023, New Zealand.ORCID 0000-0002-4135-6738
Cliona Ni MhurchuDepartment of Epidemiology and Biostatistics, School of Population Health, The University of Auckland, Auckland1023, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOnline 24-h dietary recall tools are commonly used in nationwide nutrition surveys to assess population diets. With a steep rise in the development of new and more advanced 24-h dietary recall tools, the decision of which tool to use for a national nutrition survey becomes increasingly challenging. Therefore, this short communication outlines the process of selecting a 24-h dietary recall tool for a national nutrition survey in New Zealand.

designTo identify suitable 24-h dietary recall tools, a review of peer-reviewed and grey literature was conducted (2019-2022). Data on functionalities, validation, usability and adaptability were extracted for eighteen pre-specified tools, which were used in the subsequent evaluation process.

resultsSix of the eighteen tools had new relevant publications since 2019. The fourteen new publications described six validation studies and eight usability studies. Based on pre-selection criteria (e.g. availability, adaptability, previous use in national surveys), three tools were shortlisted: ASA24, Intake24 and MyFood24. These tools were further evaluated, and expert advice was sought to determine the most suitable tool for use in the New Zealand context.

conclusionsA comprehensive yet time- and cost-efficient approach was undertaken to identify the potential use of online 24-h dietary recall tools for a national nutrition survey. The selection process included key evaluation criteria to determine the tools' suitability for adaptation within the New Zealand context and ultimately to select a preferred tool. A similar approach may be useful for other countries when having to select 24-h dietary recall tools for use in national nutrition surveys.

Indexed as

Mental RecallNutrition AssessmentNutrition SurveysDietDiet RecordsHumansInternetNew ZealandReproducibility of Results24HDRFood intakePublic healthTechnologyWeb-based

Identifiers

PMID39632717
PMCPMC11705012

What OpenQuestion holds

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LicenceCC BY
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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.