The present commentary contains a clear and simple guide designed to identify ultra-processed foods. It responds to the growing interest in ultra-processed foods among policy makers, academic researchers, health professionals, journalists and consumers concerned to devise policies, investigate dietary patterns, advise people, prepare media coverage, and when buying food and checking labels in shops or at home. Ultra-processed foods are defined within the NOVA classification system, which groups foods according to the extent and purpose of industrial processing. Processes enabling the manufacture of ultra-processed foods include the fractioning of whole foods into substances, chemical modifications of these substances, assembly of unmodified and modified food substances, frequent use of cosmetic additives and sophisticated packaging. Processes and ingredients used to manufacture ultra-processed foods are designed to create highly profitable (low-cost ingredients, long shelf-life, emphatic branding), convenient (ready-to-consume), hyper-palatable products liable to displace all other NOVA food groups, notably unprocessed or minimally processed foods. A practical way to identify an ultra-processed product is to check to see if its list of ingredients contains at least one item characteristic of the NOVA ultra-processed food group, which is to say, either food substances never or rarely used in kitchens (such as high-fructose corn syrup, hydrogenated or interesterified oils, and hydrolysed proteins), or classes of additives designed to make the final product palatable or more appealing (such as flavours, flavour enhancers, colours, emulsifiers, emulsifying salts, sweeteners, thickeners, and anti-foaming, bulking, carbonating, foaming, gelling and glazing agents).

Background: Brazil is currently debating the implementation of front-of-package labels. This study tested if Warning labels (WLs) improved consumer understanding, perceptions, and purchase intentions compared to Traffic-Light labels (TLLs) in 1607 Brazilian adults. Methods: In this online, randomized controlled experiment participants saw images of 10 products and answered questions twice—once in a no-label, control condition and then again in a randomly assigned label condition. The relative differences in responses between WLs and TLLs between control and label conditions were estimated using one-way ANOVAs or Chi-square tests. Results: Presenting WLs on products compared to TLLs helped participants: (i) improve their understanding of excess nutrient content (27.0% versus 8.2%, p < 0.001); (ii) improve their ability to identify the healthier product (24.6% versus 3.3%, p < 0.001); (iii) decrease perceptions of product healthfulness; and (iv) correctly identify healthier products (14.0% versus 6.9%, p < 0.001), relative to the control condition. With WLs, there was also an increase in the percentage of people: (v) expressing an intention to purchase the relatively healthier option (16.1% versus 9.8%, p < 0.001); and (vi) choosing not to buy either product (13.0% versus 2.9%, p < 0.001), relative to the control condition. The participants in the WL condition had significantly more favorable opinions of the labels compared to those in the TLL group. Conclusions: WLs would be more effective, compared to the TLL, at improving consumer food choices.

OBJETIVO Descrever o escore Nova de consumo de alimentos ultraprocessados e avaliar seu potencial para refletir, no contexto brasileiro, a participação desses alimentos na dieta. MÉTODOS Estudo realizado na cidade de São Paulo com amostra de conveniência de 300 adultos, que responderam, em cerca de três minutos, em um tablet, a um questionário eletrônico de autorrelato sobre o consumo, no dia anterior, de 23 subgrupos de alimentos ultraprocessados comumente consumidos no Brasil. O escore de cada participante correspondeu ao número de subgrupos reportados. A participação de alimentos ultraprocessados no consumo alimentar do mesmo dia, expressa como percentual da ingestão total de energia, foi calculada por meio das respostas dos participantes a recordatório alimentar completo de 24 horas aplicado em cerca de 30 minutos por nutricionistas treinados. A associação entre o escore e a participação de ultraprocessados na dieta foi estudada por modelos de regressão linear. A concordância na classificação dos participantes segundo quintos do escore e quintos da participação de alimentos ultraprocessados na dieta foi avaliada pelo índice Pabak. RESULTADOS O percentual médio de participação de alimentos ultraprocessados na dieta aumentou linear e significativamente com o aumento do escore Nova de consumo de alimentos ultraprocessados. Observou-se concordância substancial na classificação dos participantes segundo quintos da distribuição do escore e quintos da distribuição do percentual de participação de alimentos ultraprocessados na dieta (índice Pabak = 0,67). Relação inversa da idade com a frequência de consumo relativamente elevado de alimentos ultraprocessados (quinto superior da distribuição) foi observada tanto para o escore quanto para a participação de alimentos ultraprocessados na dieta. CONCLUSÃO O escore Nova de consumo de alimentos ultraprocessados, obtido de forma rápida e prática, apresenta bom potencial para refletir, no contexto brasileiro, a participação desses alimentos na dieta.