Evidence map›Paper›PMID 41677913›Full record

ArticleEuropean journal of nutrition2026

Impact simulation of portion guidance on commonly consumed packaged food to reduce discretionary energy and public health sensitive nutrients in the United States, United Kingdom, and France.

Li-Tang Tsai, Charlotte Debras, Eric Scuccimarra, Florent Vieux, Matthieu Maillot, Fabio Mainardi, Alison L Eldridge

Erratum issuedAbstract read
In one paragraph

Article in European journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Li-Tang TsaiNestlé Institute of Health Sciences, Nestlé Research, Vers-Chez-Les-Blanc, Lausanne, Switzerland. litangtsai@gmail.com.ORCID http://orcid.org/0000-0001-6571-3376
Charlotte DebrasNestlé Institute of Health Sciences, Nestlé Research, Vers-Chez-Les-Blanc, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0395-7161
Eric ScuccimarraNestlé Institute of Health Sciences, Nestlé Research, Vers-Chez-Les-Blanc, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-8241-1329
Florent VieuxMS-Nutrition, Marseille, France.ORCID http://orcid.org/0000-0003-0752-5830
Matthieu MaillotMS-Nutrition, Marseille, France.ORCID http://orcid.org/0000-0003-4120-0802
Fabio MainardiNestlé Institute of Health Sciences, Nestlé Research, Vers-Chez-Les-Blanc, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-4825-4283
Alison L EldridgeNestlé Institute of Health Sciences, Nestlé Research, Vers-Chez-Les-Blanc, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-9477-7130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExcessive consumption of discretionary food is a global concern linked to obesity prevalence. Providing reference portion sizes and reducing portion size is a potential solution to tackle this issue. The aim of this study was to model the impact of systematically established portion values, without changing food choices, on discretionary energy and public health-sensitive nutrients using nationally representative datasets from the United States (NHANES), United Kingdom (NDNS), and France (INCA3).

methodsDiet modeling was used to adjust large portions to reference portion sizes per eating occasion for selected discretionary, energy-dense food categories. Nutritional quality and adherence to World Health Organization guidelines were compared before and after substitutions. Linear regressions assessed whether reductions in daily total energy and added/free sugar were associated with participants’ demographic and anthropometric characteristics.

resultsAfter substitution, daily energy from discretionary foods decreased by 5.4 percentage points for NHANES (mean ± SD from 20.7 ± 13.1 to 15.3 ± 9.8%, p < 0.001), 3.1 percentage points for NDNS (from 15.6 ± 9.8 to 12.5 ± 8.0%, p < 0.001), and 3.6 percentage points for INCA3 (from 16.1 ± 10.7 to 12.5 ± 8.1%, p < 0.001) data. Following portion guidance improved diet quality, reduced public health-sensitive nutrients (e.g., saturated fat, added sugar, sodium) and enhanced adherence to WHO guidelines. Older age was associated with smaller reductions in discretionary energy and added/free sugar among participants in UK and France.

conclusionAdjusting portion sizes without altering food preferences may decrease energy and public health-sensitive nutrients intakes. Further research is needed to explore these findings in other regions and their potential health outcomes.

Indexed as

DietEnergy IntakeNutrition PolicyPortion SizePublic HealthAdultFemaleFood PackagingFood, ProcessedFranceHumansMaleMiddle AgedNutrientsNutrition SurveysNutritive ValueDiet modeling analysisDiscretionary foodNutrient recommendationsPortion sizePublic health policy

Identifiers

PMID41677913
PMCPMC12901252

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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.