Health Star Rating of Nonalcoholic, Packaged, and Ready-to-Drink
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Korean Soc Food Science Nutrition
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study aimed to compare the nutritional quality of beverages sold in T & uuml;rkiye according to their labeling profiles. A total of 304 nonalcoholic beverages sold in supermarkets and online markets with the highest market capacity in T & uuml;rkiye were included. Milk and dairy products, sports drinks, and beverages for children were excluded. The health star rating (HSR) was used to assess the nutritional quality of beverages. The nutritional quality of beverages was evaluated using a decision tree model according to the HSR score based on the variables presented on the beverage label. Moreover, confusion matrix tests were used to test the model's accuracy. The mean HSR score of beverages was 2.6 +/- 1.9, of which 30.2% were in the healthy category (HSR >= 3.5). Fermented and 100% fruit juice beverages had the highest mean HSR scores. According to the decision tree model of the training set, the predictors of HSR quality score, in order of importance, were as follows: added sugar (46%), sweetener (28%), additives (19%), fructose-glucose syrup (4%), and caffeine (3%). In the test set, the accuracy rate and F1 score were 0.90 and 0.82, respectively, suggesting that the prediction performance of our model had the perfect fit. According to the HSR classification, most beverages were found to be unhealthy. Thus, they increase the risk of the development of obesity and other diseases because of their easy consumption. The decision tree learning algorithm could guide the population to choose healthy beverages based on their labeling information.
Açıklama
Anahtar Kelimeler
beverages; food quality; nutrient intake; nutritive value; sugar-sweetened beverages
Kaynak
Preventive Nutrition and Food Science
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
29
Sayı
2
