Evidence map›Paper›PMID 33925712›Full record

ArticleNutrients2021

Dietary Patterns Derived from UK Supermarket Transaction Data with Nutrient and Socioeconomic Profiles.

Stephen D Clark, Becky Shute, Victoria Jenneson, Tim Rains, Mark Birkin, Michelle A Morris

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Emerging Technologies for Investigating Food Consumer Behavior: A Systematic Review.Comprehensive reviews in food science and food safety · 2025
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. 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

6 authors.

Stephen D ClarkLeeds Institute for Data Analytics and School of Geography, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-4090-6002
Becky ShuteSainsbury's Supermarkets Ltd., Holborn, London EC1N 2HT, UK.
Victoria JennesonLeeds Institute for Data Analytics and School of Geography, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-2468-8009
Tim RainsSainsbury's Supermarkets Ltd., Holborn, London EC1N 2HT, UK.
Mark BirkinLeeds Institute for Data Analytics and School of Geography, University of Leeds, Leeds LS2 9JT, UK.
Michelle A MorrisLeeds Institute for Data Analytics and School of Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-9325-619X

Funding

Economic and Social Research Council ES/L011891/1
6 · The paper itself

Abstract

Poor diet is a leading cause of death in the United Kingdom (UK) and around the world. Methods to collect quality dietary information at scale for population research are time consuming, expensive and biased. Novel data sources offer potential to overcome these challenges and better understand population dietary patterns. In this research we will use 12 months of supermarket sales transaction data, from 2016, for primary shoppers residing in the Yorkshire and Humber region of the UK (

Indexed as

Food MarketsNutritive ValueSocioeconomic FactorsAdolescentAdultAgedConsumer BehaviorDietFemaleHumansMaleMiddle AgedUnited KingdomYoung Adultbig datadietary assessmentdietary patternsnutrientsnutrition analyticssocioeconomictransaction data

Identifiers

PMID33925712
PMCPMC8147024

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.