Evidence map›Paper›PMID 39974839›Full record

ArticleFood & nutrition research2025

Improvements to the Nutri-Score to address challenges identified in a Nordic setting.

Anna Amberntsson, Mari Mohn Paulsen, Marta Angela Bianchi, Bryndís Eva Birgisdóttir, Anja Pia Biltoft-Jensen, Dina Moxness Konglevoll, Anne Lise Brantsæter, Kaja Lund-Iversen, Lene Frost Andersen, Marianne Hope Abel

Abstract read
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Article in Food & nutrition research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Anna AmberntssonDepartment of Food Safety, Norwegian Institute of Public Health, Oslo, Norway.
Mari Mohn PaulsenDepartment of Food Safety, Norwegian Institute of Public Health, Oslo, Norway.
Marta Angela BianchiDepartment of Agriculture and Food, RISE Research Institutes of Sweden, Gothenburg, Sweden.
Bryndís Eva BirgisdóttirUnit for Nutrition Research, Faculty of Food Science and Nutrition, School of Health Sciences, University of Iceland, Reykjavík, Iceland.
Anja Pia Biltoft-JensenNational Food Institute, Technical University of Denmark, Copenhagen, Denmark.
Dina Moxness KonglevollDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Anne Lise BrantsæterDepartment of Food Safety, Norwegian Institute of Public Health, Oslo, Norway.
Kaja Lund-IversenCentre for Sustainable Diets, Norwegian Institute of Public Health, Oslo, Norway.
Lene Frost AndersenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Marianne Hope AbelCentre for Sustainable Diets, Norwegian Institute of Public Health, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Front-of-pack nutrition labelling is an important policy tool for public health. The Nutri-Score classifies foods according to nutritional quality from A (high quality) to E (low quality). We have previously identified inconsistencies between Nutri-Score and the Norwegian food-based dietary guidelines. The objective was to propose revisions to the Nutri-Score 2023 algorithms and determine if the revised algorithms better align with the Nordic Nutrition Recommendations 2023 (NNR2023) and the Keyhole label. Methods: Items in the Norwegian pre-packed foods databases Tradesolution ( Results: In total, 5.5% of all products received a less favourable Nutri-Score with the revised carbohydrate quality components. Most refined pastas and flour shifted shifted from A to B or C, whilst whole grain pasta largely remained A. Sugar-rich breakfast cereals shifted from B to C or D. For fish, 11% (1% of all products) were moved from D or E to C or D. The variation in scores for cheese and creams increased. Around 5% of all products were affected by the revisions related to fat quality. Conclusions: The proposed revisions make the Nutri-Score more coherent with the NNR2023 and the Keyhole label. The proposed revisions also hold relevance for other European countries and should therefore be considered in the next revision of the Nutri-Score.

Indexed as

carbohydrate qualityfat qualityfood classificationfront-of-pack nutrition labelnordic nutrition recommendationsnutrient profilingnutritional qualitypublic health policy

Identifiers

PMID39974839
PMCPMC11836775

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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.