School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia.
The George Institute for Global Health, Sydney, NSW, 2000, Australia.
Eur J Nutr. 2024 Sep;63(6):2025-2033. doi: 10.1007/s00394-024-03404-z. Epub 2024 Apr 23.
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.
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.
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).
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.
包装正面标签系统,如健康星级评级(HSR),旨在帮助消费者做出健康的饮食选择,并补充国家饮食指南。饮食指南旨在超越食物的个别营养成分,包括指示饮食质量的其他食物成分,包括全谷物,从而实现全面性。我们旨在测试将全谷物纳入 HSR 算法的可行性,以便更好地为澳大利亚提供与现有饮食指南一致的饮食指导。
我们根据食物的全谷物含量,将全谷物分数作为 HSR 的有利成分。我们使用独立样本中位数检验比较了原始 HSR 算法和三种修改后的 HSR 算法(包括对星级评定阈值的改变)。最后,我们使用斯皮尔曼相关性来衡量每种算法中物品的营养成分(HSR 算法的所有成分,包括所有有利和不利成分)与其 HSR 之间的关联强度。
对于全谷物含量≥50%的产品,最多可获得 10 分,而全谷物含量<25%的产品则没有分数。与原始算法相比,将谷物产品的 HSR 评分截止值调整 3 分,可以在精制谷物和全谷物产品之间产生最大的 HSR 中位数差异(最多相差 2 星级)。
将全谷物纳入 HSR 算法提高了精制谷物和全谷物产品的区分度,因此更符合饮食指南。需要采用全面的食品指导系统方法来提供一致的信息并促进积极的食品选择。