Evidence map›Paper›PMID 40072578›Full record

ArticleEuropean journal of nutrition2025

The potential of Nutri-Score to discriminate foods according to environmental impact.

Elly Steenbergen, Reina E Vellinga, Joline Wj Beulens, Elisabeth Hm Temme

Abstract read
In one paragraph

Article in European journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Elly SteenbergenNational Institute for Public Health and the Environment, Bilthoven, The Netherlands. elly.steenbergen@rivm.nl.ORCID http://orcid.org/0000-0002-2811-6115
Reina E VellingaNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Joline Wj BeulensDepartment of Epidemiology & Data Science, Amsterdam UMC, location Vrije Universiteit, Amsterdam, The Netherlands.
Elisabeth Hm TemmeNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.

Funding

Ministerie van Volksgezondheid, Welzijn en Sport Ministerie van Volksgezondheid, Welzijn en Sport
6 · The paper itself

Abstract

purposeNutri-Score aims to aid consumers in making informed food choices based on nutritional quality. To guide consumers regarding both the nutritional quality and environmental impact of foods, it would be beneficial when Nutri-Score could also discriminate foods by environmental impact. This study investigated the association of Nutri-Score with the environmental impact indicators greenhouse gas (GHG) emissions and blue water consumption.

methodsNutri-Score classifications were calculated for generic foods of the Dutch Food Composition Database, combined with GHG emissions (kg CO

resultsNutri-Score (final score) correlated significantly with GHG emissions for general foods (r = 0.29), added fats, nuts and seeds (r = 0.25), and negatively with blue water consumption for added fats, nuts and seeds (r=-0.51). Saturated fatty acids and protein were significantly correlated with GHG emissions (r = 0.52 and r = 0.43) for general foods, and some general food groups with GHG emissions and blue water consumption, namely bread (r = 0.60 and r = 0.53) and savoury sauces (r = 0.52 and r = 0.53).

conclusionCurrently, Nutri-Score's ability to discriminate foods according to environmental impact is limited. To use Front-of-Pack labeling to guide consumers on both nutritional quality and environmental impact, exploration of revisions to Nutri-Score or the use of additional tools is needed.

Indexed as

EnvironmentNutritive ValueAlgorithmsGreenhouse EffectGreenhouse GasesHumansNetherlandsGreenhouse GasesEnvironmental impactFront-of-pack labelHuman healthNutri-scorePlanetary healthSustainability

Identifiers

PMID40072578
PMCPMC11903517

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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.