Nutrition classification schemes for plant-based meat analogues: Drivers to assess nutritional quality and identity profile.

Changes in dietary patterns promoted by the emergence of alternative food systems are becoming increasingly common. The decrease in the consumption of animal-derived products promoted exponential growth in plant-based product demand and, consequently, the availability of several meat analogues for this consumer market. Plant-based meat analogues (PBMAs) were developed to mimic the physical and sensory characteristics of meats and their derivatives. Therefore, the composition of these products has been studied in some countries as an attempt to evaluate their nutritional quality in comparison with that of traditional meat products. The main aim of this study was to employ different Nutrition Classification Schemes (NCSs) to assess the nutritional quality of plant-based meat and to discuss the application of one or more NCSs in defining the identity and quality profile of these foods. Five NCSs were used: three nutrient-based (Nutri-Score; Nutrient Profiling Model (NPM) from Brazil; NPM from PAHO); one food-based (NOVA classification); and one hybrid (Plant-Based Nutrient Profile Model). The nutritional composition and ingredients were collected from labels of 349 PBMAs; 117 were classified as burgers, and 182 products employed soy as the main protein ingredient. The use of different NCSs is strategic for PBMAs' nutritional quality evaluation, and the Nutri-Score was able to show the effectiveness of differentiating products as having poor nutritional quality. In this way, the employment of NPM from Brazil is recommended as a driver for PBMAs choices, especially due to the excellent agreement between the Nutri-Score and NPM from Brazil for burgers.

Front-of-package nutrition labeling as a driver for healthier food choices: Lessons learned and future perspectives.

This work aims to provide a comprehensive overview of the use of front-of-package nutritional labeling (FOPL), identify and characterize the major existing FOPL systems, examine the impact of FOPL systems on consumer behavior, and discuss future perspectives. The searched databases were PubMed, Scopus, and Web of Science, and papers in English, Portuguese, Spanish, and French were considered. The integrative review method was used, comprising 68 papers. The FOPL system from more than 47 countries from North America, South America, Africa, Europe, Australia, and Asia was included in this study. The two main ways to characterize FOPL are the level of interpretation and the type of information provided. Interpretive schemes (such as warning labels, multiple traffic lights, and Nutri-Score) appear to lead to better consumer understanding and support healthier food purchases. However, due to the differences among the results and the specificity of the contexts in which they are used, it is impossible to define one FOPL interpretation scheme superior to the others. Some potential factors that influence the effectiveness of FOPL on consumer attitudes have been identified, such as food taste, as a major intrinsic factor. Extrinsic factors, such as price, food category, cultural diversity, politics, and economics, were also relevant. The lack of availability of similar alternatives, lack of understanding of the importance of FOPL, and lower levels of income and education were also some cognitive and social aspects impairing FOPL effectiveness. Prospects for the United States, Europe, Brazil, Colombia, and Argentina were discussed.