Evidence map›Paper›PMID 26652916›Full record

ArticleThe international journal of behavioral nutrition and physical activity2015

Reds are more important than greens: how UK supermarket shoppers use the different information on a traffic light nutrition label in a choice experiment.

Peter Scarborough, Anne Matthews, Helen Eyles, Asha Kaur, Charo Hodgkins, Monique M Raats, Mike Rayner

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

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  14. "Part of the Solution": Food Corporation Strategies for Regulatory Capture and Legitimacy.International journal of health policy and management · 2021
    Review
  15. Article
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  18. Analysing Credibility of UK Social Media Influencers' Weight-Management Blogs: A Pilot Study.International journal of environmental research and public health · 2020
    Article
  19. Article
  20. Review
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.

Peter ScarboroughBritish Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK. peter.scarborough@dph.ox.ac.uk.
Anne MatthewsBritish Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Helen EylesNational Institute for Health Innovation and Department of Epidemiology and Biostatistics, The University of Auckland, Auckland, New Zealand.
Asha KaurBritish Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Charo HodgkinsFood, Consumer Behaviour and Health Research Centre, University of Surrey, Guildford, UK.
Monique M RaatsFood, Consumer Behaviour and Health Research Centre, University of Surrey, Guildford, UK.
Mike RaynerBritish Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

Medical Research Council MR/J000256/1
6 · The paper itself

Abstract

backgroundColour coded front-of-pack nutrition labelling ('traffic light labelling') has been recommended for use in the UK since 2006. The voluntary scheme is used by all the major retailers and some manufacturers. It is not clear how consumers use these labels to make a single decision about the relative healthiness of foods. Our research questions were: Which of the four nutrients on UK traffic light labels (total fat, saturated fat, sugar and salt) has the most influence on decisions? Do green lights or red lights have a greater influence? Are there age and gender differences in how people use the colour and nutrient information?

methodsWe recruited participants from a UK supermarket chain membership list to conduct an online choice experiment in May 2014. We analysed data using multilevel logisitic models with food choices (n = 3321) nested in individuals (n = 187) as the unit of analysis.

resultsA food with more reds was 11.4 (95% confidence intervals: 10.3, 12.5) times less likely to be chosen as healthy, whereas a food with more greens was 6.1 (5.6, 6.6) times more likely to be chosen as healthy. Foods with better colours on saturated fat and salt were 7.3 (6.7, 8.0) and 7.1 (6.5, 7.8) times more likely to be chosen as healthy - significantly greater than for total fat (odds ratio 4.8 (4.4, 5.3)) and sugar (5.2 (4.7, 5.6)). Results were broadly similar for different genders and age groups.

conclusionsWe found that participants were more concerned with avoiding reds than choosing greens, and that saturated fat and salt had a greater influence on decisions regarding healthiness than total fat and sugar. This could influence decisions about food reformulation and guidance on using nutrition labelling.

Indexed as

ColorCommerceAdolescentAdultAgedAge DistributionChoice BehaviorFemaleFood LabelingFood PreferencesHumansMaleMiddle AgedPhotic StimulationSex DistributionSurveys and Questionnaires

Identifiers

PMID26652916
PMCPMC4676872

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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.