Evidence map›Paper›PMID 37484539›Full record

ArticleBMJ nutrition, prevention & health2023

Effect of a new graphically modified Nutri-Score on the objective understanding of foods' nutrient profile and ultraprocessing: a randomised controlled trial.

Bernard Srour, Serge Hercberg, Pilar Galan, Carlos Augusto Monteiro, Fabien Szabo de Edelenyi, Laurent Bourhis, Morgane Fialon, Barthélémy Sarda, Nathalie Druesne-Pecollo, Younes Esseddik and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05610930 (Effect of a New Graphically Modified Nutri-Score on the Objective Understanding of Foods' Nutritional Quality and Ultra-processing - a Randomised Controlled Trial), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

NCT05610930 nacompletednot on this map

Effect of a New Graphically Modified Nutri-Score on the Objective Understanding of Foods' Nutritional Quality and Ultra-processing - a Randomised Controlled Trial

TypeinterventionalSponsorUniversity of Paris 13Ran2022 to 2022Enrolled21,159ConditionsObjective Understanding of Nutritional LabelArmsFront-of-pack label NutriScore 2.0
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. The gut microbiome connects nutrition and human health.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  7. Article
  8. Review
  9. Health and Environmental Impacts of Major Foods Consumed in Regional Food Systems of Brazil.International journal of environmental research and public health · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Modifying the Health Star Rating nutrient profiling algorithm to account for ultra-processing.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025
    Article
  14. Article
  15. Article
  16. Ultra-processed foods and food additives in gut health and disease.Nature reviews. Gastroenterology & hepatology · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. 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

13 authors.

Bernard SrourUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.ORCID 0000-0002-1277-3380
Serge HercbergUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Pilar GalanUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Carlos Augusto MonteiroDepartment of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
Fabien Szabo de EdelenyiUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Laurent BourhisUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Morgane FialonUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Barthélémy SardaUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Nathalie Druesne-PecolloUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Younes EsseddikUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Mélanie Deschasaux-TanguyUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Chantal JuliaUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Mathilde TouvierUniversité Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: When considering health-related impacts of foods, nutrient profile and (ultra)processing are two complementary dimensions. The Nutri-Score informs on the nutrient profile dimension. Recently, mounting evidence linked ultraprocessed food consumption to various adverse health outcomes, independently of their nutrient profile. To inform consumers about each of these health-related dimensions of food, we tested, in a randomised controlled trial, if a graphically modified version 'Nutri-Score V.2.0', including a black 'ultraprocessed' banner, would improve the capacity of consumers to rank products according to their nutrient profile and to detect those ultra-processed, compared with a no-label situation. Methods: 21 159 participants included in the NutriNet-Santé web-cohort were randomly assigned to a control arm (no front-of-pack label) or an experimental arm (Nutri-Score 2.0) and were presented an online questionnaire with three sets of food products (cookies, breakfast cereals and ready-to-eat meals) to rank according to nutrient profile and to identify ultraprocessed foods. The primary outcome was objective understanding of nutrient profile and ultraprocessing, represented by a score of correct answers. Secondary outcomes were purchasing intentions and the healthiest-perceived product. Multinomial logistic regressions were performed. Results: The Nutri-Score V.2.0 increased the objective understanding of both the nutrient profile dimension (OR Conclusion: This randomised controlled trial demonstrates the interest of a front-of-pack label combining the Nutri-Score (informing on the nutrient profile dimension) with an additional graphic mention, indicating when the food is ultraprocessed, compared with a no-label situation. Our results show that a combined label enabled participants to independently understand these two complementary dimensions of foods. Trial registration number: NCT05610930.

Indexed as

MalnutritionNutrition assessment

Identifiers

PMID37484539
PMCPMC10359533

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Registered trials

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.