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Eur J Nutr ; 63(6): 2025-2033, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-38653809

RESUMO

PURPOSE: Front-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. METHODS: We 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. RESULTS: Up 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). CONCLUSIONS: The 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.


Assuntos
Rotulagem de Alimentos , Política Nutricional , Valor Nutritivo , Grãos Integrais , Rotulagem de Alimentos/métodos , Rotulagem de Alimentos/normas , Humanos , Austrália , Algoritmos , Dieta Saudável/métodos , Dieta Saudável/normas , Dieta Saudável/estatística & dados numéricos
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