Evidence map›Paper›PMID 40419091›Full record

ArticleThe Journal of nutrition2025

Does the Inclusion of Free Sugars as Opposed to Total Sugars in Nutrient Profiling Models Improve Their Performance? A Cross-sectional Analysis From the PREDISE Study.

Alicia Corriveau, Mylène Turcotte, Amélie Bergeron, Simone Lemieux, Marie-Ève Labonté

Abstract read
In one paragraph

Article in The Journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Alicia CorriveauCentre Nutrition, santé, et société (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, Québec, Canada; School of Nutrition, Faculty of Agriculture and Food Sciences, Université Laval, Quebec City, Québec, Canada.
Mylène TurcotteCentre Nutrition, santé, et société (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, Québec, Canada.
Amélie BergeronCentre Nutrition, santé, et société (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, Québec, Canada; School of Nutrition, Faculty of Agriculture and Food Sciences, Université Laval, Quebec City, Québec, Canada; Institut national de santé publique du Québec, Quebec City, Québec, Canada.
Simone LemieuxCentre Nutrition, santé, et société (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, Québec, Canada; School of Nutrition, Faculty of Agriculture and Food Sciences, Université Laval, Quebec City, Québec, Canada.
Marie-Ève LabontéCentre Nutrition, santé, et société (NUTRISS), Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec City, Québec, Canada; School of Nutrition, Faculty of Agriculture and Food Sciences, Université Laval, Quebec City, Québec, Canada. Electronic address: marie-eve.labonte@fsaa.ulaval.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNutrient profiling (NP) models characterize the healthfulness of foods. Few NP models have been validated, and nutrients included in their algorithm do not always reflect the most recent scientific evidence.

objectivesThis study aimed 1) to evaluate the validity of NP models against a diet quality measure and cardiometabolic risk factors in French-Canadians and 2) to compare the validity of each model when replacing total sugars by free sugars in their algorithm.

methodsThe PRÉDicteurs Individuels, Sociaux et Environnementaux cross-sectional study was used to test original and modified versions (i.e., including total or free sugars, respectively) of 3 NP models: Health Star Rating (HSR) system, Nutri-Score, and Nutrient-Rich Food index 6.3. Data from web-based self-administered 24-h recalls completed by 1019 adults were used to calculate energy-weighted NP-derived individual scores for both versions of each model. Associations between individual scores and the Healthy Eating Food Index 2019, as well as 14 biomarkers covering anthropometry, blood pressure, blood lipids, glucose homeostasis, and inflammatory biomarkers, were assessed using multivariable linear models.

resultsHigher quality of foods consumed, as assessed by all 3 original models, was associated with higher Healthy Eating Food Index 2019 (adjusted R

conclusionsAll 3 models are associated with diet quality and some biomarkers of health status in French-Canadians, although no model outranks the others. Replacing total sugars by free sugars has little to no effect on NP models' performance, therefore not supporting this approach for now.

Indexed as

Dietary SugarsNutrientsNutritive ValueAdultCardiometabolic Risk FactorsCross-Sectional StudiesDietDiet, HealthyFemaleHumansMaleMiddle AgedDietary SugarsNutrientscross-sectional studydiet qualityHealth Star RatingHealthy Eating Food IndexHEFI-2019NRFnutrient profiling modelsNutri-ScorePREDISEvalidation study

Identifiers

PMID40419091
PMCPMC12308136

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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.