Evidence map›Paper›PMID 31318012›Full record

ArticleAmerican journal of epidemiology2019

Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers.

Darren C Greenwood, Laura J Hardie, Gary S Frost, Nisreen A Alwan, Kathryn E Bradbury, Michelle Carter, Paul Elliott, Charlotte E L Evans, Heather E Ford, Neil Hancock and 10 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 2 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

178 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. The Potential of Microbiota-Modulating Dietary Strategies in Gallstone Prevention: Evidence from 2 Large Population- Based Cohorts.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
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118 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

20 authors.

Darren C GreenwoodSchool of Medicine, University of Leeds, Leeds, United Kingdom.
Laura J HardieSchool of Medicine, University of Leeds, Leeds, United Kingdom.
Gary S FrostNutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, United Kingdom.
Nisreen A AlwanAcademic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Kathryn E BradburyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Michelle CarterNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.
Paul ElliottMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom.
Charlotte E L EvansNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.
Heather E FordNutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, United Kingdom.
Neil HancockNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.
Timothy J KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Bette LiuCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Michelle A MorrisLeeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.
Umme Z MullaGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Katerina PetropoulouNutrition and Dietetic Research Group, Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, United Kingdom.
Gregory D M PotterSchool of Medicine, University of Leeds, Leeds, United Kingdom.
Elio RiboliMRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom.
Heather YoungCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Petra A WarkGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
Janet E CadeNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.

Funding

Medical Research Council G1100235Medical Research Council MR/L01341X/1Medical Research Council MR/L02019X/1
6 · The paper itself

Abstract

The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multiple-pass 24-hour dietary recall against biomarkers for protein, potassium, and total sugar intake and total energy expenditure estimated by accelerometry. We recruited 160 participants in London, United Kingdom, between 2014 and 2016 and measured their biomarker levels at 3 nonconsecutive time points. The measurement error model simultaneously compared all 3 methods. Attenuation factors for protein, potassium, total sugar, and total energy intakes estimated as the mean of 2 applications of the Oxford WebQ were 0.37, 0.42, 0.45, and 0.31, respectively, with performance improving incrementally for the mean of more measures. Correlation between the mean value from 2 Oxford WebQs and estimated true intakes, reflecting attenuation when intake is categorized or ranked, was 0.47, 0.39, 0.40, and 0.38, respectively, also improving with repeated administration. These correlations were similar to those of the more administratively burdensome interviewer-based recall. Using objective biomarkers as the standard, the Oxford WebQ performs well across key nutrients in comparison with more administratively burdensome interviewer-based 24-hour recalls. Attenuation improves when the average value is taken over repeated administrations, reducing measurement error bias in assessment of diet-disease associations.

Indexed as

AccelerometryAdultBiomarkersBlood ProteinsCarbon DioxideDietDietary CarbohydratesDiet SurveysEnergy IntakeEnergy MetabolismFemaleHumansInterviews as TopicLondonMaleMental RecallBiomarkersBlood ProteinsCarbon DioxideDietary CarbohydratesPotassiumdietary assessmentdiet questionnairesMillion Women Studynutrition assessmentrecallrecovery biomarkersUK Biobankvalidation

Identifiers

PMID31318012
PMCPMC7254925

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.