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The Nutri-Score Scale-A Tool for Assessing the Nutritional Quality of Processed Meat Products Available on the Polish Market.

Katarzyna Czech-ZałubskaAnna DidkowskaDaniel KlichAgnieszka Jackowska-TraczJoanna ZarzyńskaKrzysztof Anusz
Published in: Nutrients (2024)
Although meat and meat products are important sources of protein in the human diet, consumption appears to be a predisposing factor in the onset of several civilisation diseases, particularly red meat and its products. One way to reduce diet-related diseases is to guide consumers towards consciously purchasing healthier foods by including a nutrition declaration on product labels, such as by using a "front-of-pack" (FOP) labelling system. This study aimed to determine the Nutri-Score classes for processed meat products, distinguish products that are potentially better for consumers, and determine whether the refined algorithm significantly contributed to a change in product classification. An analysis of the labels of 1700 products available on the Polish market indicated that most processed meat products qualified as class D and E. Comparing the refined Nutri-Score calculation algorithm with the original algorithm resulted in a slight change in product allocation. Poultry products were ranked more favourably than red meat products. The most significant change in product allocation (by 35.2%) was achieved by reducing salt content by 30% and fat content by 10%. Among the processed meat products, some are more highly ranked and are hence considered better from a nutritional perspective than others in that group.
Keyphrases
  • machine learning
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  • endothelial cells
  • weight loss
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  • small molecule
  • neural network
  • amino acid