Evidence map›Paper›PMID 34817679›Full record

ArticleEuropean journal of nutrition2022

Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains.

Katrina R Kissock, Florent Vieux, Kevin C Mathias, Adam Drewnowski, Chris J Seal, Gabriel Masset, Jessica Smith, Heddie Mejborn, Nicola M McKeown, Eleanor J Beck

Erratum issuedAbstract read
In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Katrina R KissockSchool of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0001-6665-2106
Florent VieuxMS-Nutrition, Marseille, France.ORCID https://orcid.org/0000-0003-0752-5830
Kevin C MathiasSkidmore College, Health and Human Physiological Sciences, Saratoga Springs, NY, USA.
Adam DrewnowskiCenter for Public Health Nutrition, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-6509-3290
Chris J SealPublic Health Sciences Institute, University of Newcastle, Newcastle upon Tyne, NE2 4HH, UK.ORCID https://orcid.org/0000-0001-6313-6691
Gabriel MassetCereal Partners Worldwide, Prilly, Switzerland.ORCID https://orcid.org/0000-0001-6977-0247
Jessica SmithGeneral Mills Scientific and Regulatory Affairs, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0003-1947-1075
Heddie MejbornNational Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0002-6302-8575
Nicola M McKeownJean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA.
Eleanor J BeckSchool of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, 2522, Australia. eleanor@uow.edu.au.ORCID https://orcid.org/0000-0002-3448-6534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhole grains, generally recognised as healthy choices, are not included in most nutrient profiling systems. We tested modifications to the Nutri-Score algorithm to determine whether including whole grains would provide an improved measure of food, and overall diet quality.

methodsThe whole-grain content of food, with a minimum cut-point of 25%, was added to the algorithm, following similar methods used to score other health-promoting components such as fibre. We applied and compared the original and the modified Nutri-Score to food composition and dietary intake data from Australia, France, the United Kingdom, and the United States.

resultsAt the food level, correlations between whole-grain content and food nutritional score were strengthened using the modified algorithm in Australian data, but less so for the other countries. Improvements were greater in grain-specific food groups. The largest shift in Nutri-Score class was from B to A (best score). At the dietary intake level, whole-diet nutritional scores for individuals were calculated and compared against population-specific diet-quality scores. With modifications, correlations with diet-quality scores were improved slightly, suggesting that the modified score better aligns with national dietary guidelines. An inverse linear relationship between whole-diet nutritional score and whole-grain intake was evident, particularly with modifications (lower whole-diet nutritional score indicative of better diet quality).

conclusionIncluding a whole-grain component in the Nutri-Score algorithm is justified to align with dietary guidelines and better reflect whole grain as a contributor to improved dietary quality. Further research is required to test alternative algorithms and potentially other nutrient profiling systems.

Indexed as

DietWhole GrainsAlgorithmsAustraliaEdible GrainHumansNutrientsNutritive ValueUnited StatesNutrientsIntakeNutrient densityNutrient profilingNutri-ScoreWhole grain

Identifiers

PMID34817679
PMCPMC8783881

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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.