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Nutrients
Article . 2018 . Peer-reviewed
License: CC BY
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Nutrients
Article
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Nutrients
Article . 2018
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PubMed Central
Article . 2018
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Evaluation of Alignment between the Health Claims Nutrient Profiling Scoring Criterion (NPSC) and the Health Star Rating (HSR) Nutrient Profiling Models

Authors: Dunford, EK; Huang, L; Peters, SAE; Crino, M; Neal, BC; Ni Mhurchu, C;

Evaluation of Alignment between the Health Claims Nutrient Profiling Scoring Criterion (NPSC) and the Health Star Rating (HSR) Nutrient Profiling Models

Abstract

In Australia, manufacturers can use two government-endorsed approaches to advertise product healthiness: the Health Star Rating (HSR) front-of-pack nutrition labelling system, and health claims. Related, but different, algorithms determine the star rating of a product (the HSR algorithm) and eligibility to display claims (the Nutrient Profiling Scoring Criterion (NPSC) algorithm). The objective of this study was to examine the agreement between the HSR and NPSC algorithms. Food composition information for 41,297 packaged products was extracted from The George Institute’s FoodSwitch database. HSR and the NPSC scores were calculated, and the proportion of products in each HSR category that were eligible to display a health claim under the NPSC was examined. The highest agreement between the HSR scoring algorithm and the NPSC threshold to determine eligibility to display a health claim was at the HSR cut-off of 3.5 stars (k = 0.83). Overall, 97.3% (n = 40,167) of products with star ratings of 3.5 or higher were also eligible to display a health claim, and 94.3% (n = 38,939) of products with star ratings less than 3.5 were ineligible to display a health claim. The food group with greatest divergence was “edible oils”, with 45% products (n = 342) with HSR >3.5, but 64% (n = 495) eligible to display a claim. Categories with large absolute numbers of products with HSR <3.5, but eligible to display a claim, were “yoghurts and yoghurt drinks” (335 products, 25.4%) and “soft drinks” (299 products, 29.7%). Categories with a large number of products with HSR ≥3.5, but ineligible to display a claim, were “milk” (260 products, 21.2%) and “nuts and seeds” (173 products, 19.7%). We conclude that there is good agreement between the HSR and the NPSC systems overall, but divergence in some food groups is likely to result in confusion for consumers, particularly where foods with low HSRs are eligible to display a health claim. The alignment of the NPSC and HSR scoring algorithms should be improved.

Countries
United Kingdom, Australia
Keywords

AUSTRALIA, 330, Databases, Factual, NEW-ZEALAND, 610, 32 Biomedical and Clinical Sciences, PROCESSED FOODS, Health Promotion, nutrient profiling, Recommended Dietary Allowances, Article, anzsrc-for: 4206 Public Health, Nutrition Policy, Databases, anzsrc-for: 32 Biomedical and Clinical Sciences, health claims, Food Labeling, food composition, Humans, Factual, Nutrition, anzsrc-for: 42 Health Sciences, Science & Technology, Nutrition & Dietetics, 42 Health Sciences, anzsrc-for: 3210 Nutrition and dietetics, food labelling, PRODUCTS, anzsrc-for: 0908 Food Sciences, anzsrc-for: 3202 Clinical sciences, 4206 Public Health, 1111 Nutrition And Dietetics, NUTRITION, anzsrc-for: 1111 Nutrition and Dietetics, Life Sciences & Biomedicine, Nutritive Value, Health Star Rating, Algorithms, Food Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
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