Özet:

Studies show that the high consumption of ultra-processed foods in childhood contributes to the incidence of diseases and non communicable diseases. However, research reports consumers find it difficult to understand the information on food labels. In this context, the Traffic-light labeling (TLL) is presented as a possible ally in the accessibility and comprehension of this information. Objective: The TLL model was applied to ultra-processed products aimed at children. Materials and Methods: 84 products of five categories and different brands were selected, grouped into: G1) instant noodles; G2) packaged snacks; G3) stuffed cookie; G4) industrialized cookies; G5) industrialized juices; G6) dairy drinks. For adaptation of the SN, concentrations of total, saturated and trans fats, sugar, sodium and fibers were observed. The analysis of the labels was carried out according to the parameters established for 100g or 100mL of the product, considering classifications in the colors green (“low quantity”), yellow (“medium quantity”) and red (“high quantity”), only in the item fibers, the green color represents "enough quantity" and the red color "low quantity". Results and dicussion: In G1, the contents of saturated fats (100%), sodium (100%) and fibers (70%) were classified in red. In G2, sodium (100%), total fat (73.3%), saturated (73.3%) and fiber (80%) nutrients were classified in red. In G3, 55% were classified as red for saturated fats, 85% sodium and 80% fiber. In G4, the red classification was dominant in fibers (100%), sodium (90.0%) and saturated fats (80.0%). In G5 and G6, 100% received a red classification in terms of fibers. Conclusion: Most products showed inadequate nutrient values, so their consumption is a risk factor for children's health.

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