Evidence map›Paper›PMID 33768317›Full record

ArticleEuropean journal of nutrition2021

Describing a new food group classification system for UK biobank: analysis of food groups and sources of macro- and micronutrients in 208,200 participants.

Carmen Piernas, Aurora Perez-Cornago, Min Gao, Heather Young, Zoe Pollard, Angela Mulligan, Marleen Lentjes, Jennifer Carter, Kathryn Bradbury, Tim J Key and 1 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
14.1field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 115 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 4 countries.

Carmen Piernas *Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK. carmen.piernas-sanchez@phc.ox.ac.uk.ORCID http://orcid.org/0000-0002-7536-922X
Aurora Perez-Cornago *Cancer Epidemiology Unit, Department of Population Health, University of Oxford, Nuffield, UK.
Min GaoNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Heather YoungCancer Epidemiology Unit, Department of Population Health, University of Oxford, Nuffield, UK.
Zoe PollardCancer Epidemiology Unit, Department of Population Health, University of Oxford, Nuffield, UK.
Angela MulliganDepartment of Public Health & Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK.
Marleen LentjesDepartment of Public Health & Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK.
Jennifer CarterNuffield Department of Population Health, University of Oxford, Oxford, UK.
Kathryn BradburySchool of Population Health, National Institute for Health Innovation, University of Auckland, Auckland, New Zealand.
Tim J KeyCancer Epidemiology Unit, Department of Population Health, University of Oxford, Nuffield, UK.
Susan A JebbNuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
University of Oxford · GBUniversity of Cambridge · GBPeking University · CNUniversity of Auckland · NZ

Funding

Cancer Research UK 14136Cancer Research UK 16896Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

purposeThe UK Biobank study collected detailed dietary data using a web-based self-administered 24 h assessment tool, the Oxford WebQ. We aimed to describe a comprehensive food grouping system for this questionnaire and to report dietary intakes and key sources of selected nutrients by sex and education.

methodsParticipants with at least one valid 24-h questionnaire were included (n = 208,200). Dietary data were grouped based on the presence of nutrients as well as culinary use, processing, and plant/animal origin. For each food group, we calculated the contribution to energy intake, key macronutrients, and micronutrients. We also identified the top contributors to energy intake, free sugars and saturated fat by sex and education.

resultsFrom the 93 food groups, the top five contributors to energy intake (in descending order) were: desserts/cakes/pastries; white bread; white pasta/rice; bananas/other fruit; semi-skimmed milk. Wine, beer, and fruit juices were the top beverage contributors to overall energy intake. Biscuits, and desserts/cakes/pastries were the highest contributors to free sugars, total fat, and saturated fat intakes, but also contributed to the calcium and iron intakes. Top contributors to energy, saturated fat, and free sugars were broadly similar by sex and education category, with small differences in average nutrient intakes across the population.

conclusionThis new food classification system will support the growing interest in the associations between food groups and health outcomes and the development of food-based dietary guidelines. Food group variables will be available to all users of the UK Biobank WebQ questionnaire.

Indexed as

Biological Specimen BanksMicronutrientsDietDietary FatsEnergy IntakeHumansUnited KingdomDietary FatsMicronutrientsDietary intakeFood groupsMacronutrientsMicronutrients

Identifiers

PMID33768317
PMCPMC8275520
OpenAlexW4230690639

What OpenQuestion 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 OpenQuestion graph.