Predicting carbohydrate quality in a global database of packaged foods.

ABSTRACT:

Background

Carbohydrates are the major contributor to the energy intake of worldwide population. There is established evidence of links of carbohydrate quality with human health. Knowledge of specific carbohydrate in packaged food, such as added and free sugars, could help further investigate this link, however this information is generally not available.

Objective

To develop an algorithm to predict the content of free sugars in a global database of packaged foods and beverages; and test the applicability of the algorithm to assess carbohydrate quality in packaged food products from different countries and monitor the evolution over time. Carbohydrate quality was defined using a 10:1|1:2 ratio for carbohydrate, fibers and free sugar, i.e., for every 10 g of total carbohydrat

SUBMITTER: Scuccimarra EA 

PROVIDER: S-EPMC11936779 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature