Evidence map›Paper›PMID 32791968›Full record

ArticleNutrition journal2020

Comparing supermarket loyalty card data with traditional diet survey data for understanding how protein is purchased and consumed in older adults for the UK, 2014-16.

Mark A Green, Anthony W Watson, Jeffrey M Brunstrom, Bernard M Corfe, Alexandra M Johnstone, Elizabeth A Williams, Emma Stevenson

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Emerging Technologies for Investigating Food Consumer Behavior: A Systematic Review.Comprehensive reviews in food science and food safety · 2025
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  16. Observational
  17. Fish, Seafood, and Fish Products Purchasing Habits in the Spanish Population during COVID-19 Lockdown.International journal of environmental research and public health · 2022
    Article
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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

7 authors at 5 institutions in 1 country.

Mark A GreenGeographic Data Science Lab, School of Environmental Sciences, University of Liverpool, Liverpool, UK. mark.green@liverpool.ac.uk.ORCID 0000-0002-0942-6628
Anthony W WatsonHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon-Tyne, UK.
Jeffrey M BrunstromSchool of Psychological Science, University of Bristol, Bristol, UK.
Bernard M CorfeDepartment of Oncology & Metabolism, University of Sheffield, Sheffield, UK.
Alexandra M JohnstoneThe Rowett Institute, University of Aberdeen, Aberdeen, UK.
Elizabeth A WilliamsDepartment of Oncology & Metabolism, University of Sheffield, Sheffield, UK.
Emma StevensonHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle Upon-Tyne, UK.
Newcastle University · GBUniversity of Sheffield · GBUniversity of Aberdeen · GBUniversity of Bristol · GBUniversity of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P023886/1
6 · The paper itself

Abstract

backgroundOur ability to understand population-level dietary intake patterns is dependent on having access to high quality data. Diet surveys are common diet assessment methods, but can be limited by bias associated with under-reporting. Food purchases tracked using supermarket loyalty card records may supplement traditional surveys, however they are rarely available to academics and policy makers. The aim of our study is to explore population level patterns of protein purchasing and consumption in ageing adults (40 years onwards).

methodsWe used diet survey data from the National Diet and Nutrition Survey (2014-16) on food consumption, and loyalty card records on food purchases from a major high street supermarket retailer (2016-17) covering the UK. We computed the percentage of total energy derived from protein, protein intake per kg of body mass, and percentage of protein acquired by food type.

resultsWe found that protein consumption (as the percentage of total energy purchased) increased between ages 40-65 years, and declined thereafter. In comparison, protein purchased in supermarkets was roughly 2-2.5 percentage points lower at each year of age. The proportion of adults meeting recommended levels of protein was lowest in age groups 55-69 and 70+. The time of protein consumption was skewed towards evening meals, with low intakes during breakfast or between main meals. Meat, fish and poultry dominated as sources of protein purchased and consumed, although adults also acquired a large share of their protein from dairy and bread, with little from plant protein.

conclusionsOur study provides novel insights into how protein is purchased and consumed by ageing adults in the UK. Supermarket loyalty card data can reveal patterns of protein purchasing that when combined with traditional sources of dietary intake may enhance our understanding of dietary behaviours.

Indexed as

Consumer BehaviorFood MarketsAdultAgedDietDiet SurveysHumansMiddle AgedUnited KingdomBig dataDiet surveysPopulationProteinSupermarket loyalty cards

Identifiers

PMID32791968
PMCPMC7427066
OpenAlexW3048271980

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.