Evidence map›Paper›PMID 38653809›Full record

ArticleEuropean journal of nutrition2024

Aligning front-of-pack labelling with dietary guidelines: including whole grains in the health star rating.

Caitlin Byron, Katrina R Kissock, Eden M Barrett, Eleanor J Beck

Abstract read
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 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

4 authors.

Caitlin ByronSchool of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia.
Katrina R KissockThe George Institute for Global Health, Sydney, NSW, 2000, Australia.ORCID http://orcid.org/0000-0001-6665-2106
Eden M BarrettThe George Institute for Global Health, Sydney, NSW, 2000, Australia.ORCID http://orcid.org/0000-0003-0190-6130
Eleanor J BeckSchool of Health Sciences, University of New South Wales, Sydney, 2052, Australia. e.beck@unsw.edu.au.ORCID http://orcid.org/0000-0002-3448-6534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFront-of-pack labelling systems, such as the Health Star Rating (HSR), aim to aid healthy consumer dietary choices and complement national dietary guidelines. Dietary guidelines aim to be holistic by extending beyond the individual nutrients of food, including other food components that indicate diet quality, including whole grains. We aimed to test the feasibility of including whole grains in the HSR algorithm, to better inform dietary guidance in Australia coherent with existing dietary guidelines.

methodsWe assigned whole-grain points as a favourable component of the HSR based on the whole-grain content of foods. We compared the original, and three modified HSR algorithms (including altered thresholds for star ratings) using independent-samples median tests. Finally, we used Spearman's correlation to measure the strength of association between an item's nutritional composition (all components of the HSR algorithm including all favourable and unfavourable components) and their HSR using each algorithm.

resultsUp to 10 points were added for products with ≥ 50% whole-grain content, with no points for products with < 25%. Adjusting the HSR score cut-off by 3 points for grain products created the greatest difference in median HSR between refined and whole-grain items (up to 2 stars difference), compared to the original algorithm (a maximum of 1 star).

conclusionsThe addition of whole grains to the HSR algorithm improved the differentiation of refined and whole-grain items, and therefore better aligned with dietary guidelines. Holistic approaches to food guidance systems are required to provide consistent messaging and inform positive food choices.

Indexed as

Food LabelingNutrition PolicyNutritive ValueWhole GrainsAlgorithmsAustraliaDiet, HealthyHumansDietary guidelinesDiet qualityFront of pack labellingNutrient profilingWhole grain

Identifiers

PMID38653809
PMCPMC11377645

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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.