Evidence map›Paper›PMID 32153966›Full record

ArticleBMC nutrition2019

Measuring energy, macro and micronutrient intake in UK children and adolescents: a comparison of validated dietary assessment tools.

Linda A Bush, Jayne Hutchinson, Jozef Hooson, Marisol Warthon-Medina, Neil Hancock, Katharine Greathead, Bethany Knowles, Elisa J Vargas-Garcia, Lauren E Gibson, Barrie Margetts and 13 more

Open access · goldAbstract read
In one paragraph

Article in BMC nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 30 citations in OpenAlex.

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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

23 authors at 8 institutions in 2 countries.

Linda A Bush1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Jayne Hutchinson1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Jozef Hooson1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Marisol Warthon-Medina1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Neil Hancock1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Katharine Greathead1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Bethany Knowles1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Elisa J Vargas-Garcia1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Lauren E Gibson1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.
Barrie MargettsSchool of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK.
Sian Robinson5NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, UK.
Andy Ness7NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton NHS Foundation Trust, Southampton, UK.
Nisreen A AlwanSchool of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK.
Petra A Wark9Global eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, SW7 2AZ UK.
Mark Roe2Quadram Institute Bioscience, Norwich, NR4 7UA UK.
Paul Finglas2Quadram Institute Bioscience, Norwich, NR4 7UA UK.
Toni Steer11MRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL UK.
Polly Page11MRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL UK.
Laura Johnson12Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 1TH UK.
Katharine Roberts13Public Health Section, School of Health and Related Research (ScHARR), University of Sheffield, S10 2TN, Sheffield, UK.
Birdem Amoutzopoulos11MRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL UK.
Darren C Greenwood15Faculty of Medicine and Health, Division of Biostatistics, University of Leeds, Leeds, LS2 9JT UK.
Janet E Cade1Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2, 9JT, Leeds, UK.ORCID 0000-0003-3421-0121
University of Leeds · GBMRC Human Nutrition Research · GBEuropean Food Information Resource · BESouthampton General Hospital · GBDepartment of Health and Social Care · GBImperial College London · GBUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Medical Research Council MR/L02019X/1
6 · The paper itself

Abstract

backgroundMeasuring dietary intake in children and adolescents can be challenging due to misreporting, difficulties in establishing portion size and reliance on recording dietary data via proxy reporters. The aim of this review was to present results from a recent systematic review of reviews reporting and comparing validated dietary assessment tools used in younger populations in the UK.

methodsValidation data for dietary assessment tools used in younger populations (≤18 years) were extracted and summarised using results from a systematic review of reviews of validated dietary assessment tools. Mean differences and Bland-Altman limits of agreement (LOA) between the test and reference tool were extracted or calculated and compared for energy, macronutrients and micronutrients.

resultsSeventeen studies which reported validation of 14 dietary assessment tools (DATs) were identified with relevant nutrition information. The most commonly validated nutrients were energy, carbohydrate, protein, fat, calcium, iron, folate and vitamin C. There were no validated DATs reporting assessment of zinc, iodine or selenium intake. The most frequently used reference method was the weighed food diary, followed by doubly labelled water and 24 h recall. Summary plots were created to facilitate comparison between tools. On average, the test tools reported higher mean intakes than the reference methods with some studies consistently reporting wide LOA. Out of the 14 DATs, absolute values for LOA and mean difference were obtained for 11 DATs for EI. From the 24 validation results assessing EI, 16 (67%) reported higher mean intakes than the reference. Of the seven (29%) validation studies using doubly labelled water (DLW) as the reference, results for the test DATs were not substantially better or worse than those using other reference measures. Further information on the studies from this review is available on the www.nutritools.org website.

conclusionsValidated dietary assessment tools for use with children and adolescents in the UK have been identified and compared. Whilst tools are generally validated for macronutrient intakes, micronutrients are poorly evaluated. Validation studies that include estimates of zinc, selenium, dietary fibre, sugars and sodium are needed.

Indexed as

Dietary assessmentMacronutrientsMean difference, limits of agreementMicronutrientsValidation

Identifiers

PMID32153966
PMCPMC7050749
OpenAlexW2991590569

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LicenceCC BY
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Registered trials

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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.