A Fardet1, E Rock2. 1. INRA, UMR 1019, CRNH Auvergne, Unité de Nutrition Humaine, UNH, CLERMONT-FERRAND and Clermont Université, Université d'Auvergne, BP 10448, 6300063000, Clermont-Ferrand, France. anthony.fardet@inrae.fr. 2. INRA, UMR 1019, CRNH Auvergne, Unité de Nutrition Humaine, UNH, CLERMONT-FERRAND and Clermont Université, Université d'Auvergne, BP 10448, 6300063000, Clermont-Ferrand, France.
Abstract
PURPOSE: For decades, it has been customary to relate human health to the nutritional composition of foods, and from there was born food composition databases, composition labelling scores and the recommendation to eat varied foods. However, individuals can fully address their nutritional needs and become chronically ill. The nutrient balance of a food is only a small part of its overall health potential. In this paper, we discussed the proof of concept that the increased risk of chronic diseases worldwide is primarily associated with the degradation and artificialization of food matrices, rather than only their nutrient contents, based on the assumption that "food matrices govern the metabolic fate of nutrients". METHODS: An empirico-inductive proof of concept research design has been used, based on scientific data linking the degree of food processing, food matrices and human health, notably on the glycaemic index, nutrient bioavailability, satiety potential, and synergistic effects. RESULTS: We postulate that if the nutrient content is insufficient to fully characterize the diet-global health relationship, one other dimensions is necessary, i.e., the food matrix through the degree of processing. Both matrix and nutrient composition dimensions have been included under the new concept of the 3V index for Real (Vrai), Vegetal (Végétal), and Varied (Varié) foods. The Real metric, reflecting the integrity of the initial food matrix, is the most important, followed by the Vegetal (nutrient origin) and the Varied ("composition" effect) metrics. CONCLUSION: Concerning their effects on health, food matrix comes first, and then nutrient composition, and calorie quality matters more than calorie quantity.
PURPOSE: For decades, it has been customary to relate human health to the nutritional composition of foods, and from there was born food composition databases, composition labelling scores and the recommendation to eat varied foods. However, individuals can fully address their nutritional needs and become chronically ill. The nutrient balance of a food is only a small part of its overall health potential. In this paper, we discussed the proof of concept that the increased risk of chronic diseases worldwide is primarily associated with the degradation and artificialization of food matrices, rather than only their nutrient contents, based on the assumption that "food matrices govern the metabolic fate of nutrients". METHODS: An empirico-inductive proof of concept research design has been used, based on scientific data linking the degree of food processing, food matrices and human health, notably on the glycaemic index, nutrient bioavailability, satiety potential, and synergistic effects. RESULTS: We postulate that if the nutrient content is insufficient to fully characterize the diet-global health relationship, one other dimensions is necessary, i.e., the food matrix through the degree of processing. Both matrix and nutrient composition dimensions have been included under the new concept of the 3V index for Real (Vrai), Vegetal (Végétal), and Varied (Varié) foods. The Real metric, reflecting the integrity of the initial food matrix, is the most important, followed by the Vegetal (nutrient origin) and the Varied ("composition" effect) metrics. CONCLUSION: Concerning their effects on health, food matrix comes first, and then nutrient composition, and calorie quality matters more than calorie quantity.
Authors: Laura Chiavaroli; Danielle Lee; Amna Ahmed; Annette Cheung; Tauseef A Khan; Sonia Blanco; Arash Mirrahimi; David J A Jenkins; Geoffrey Livesey; Thomas M S Wolever; Dario Rahelić; Hana Kahleová; Jordi Salas-Salvadó; Cyril W C Kendall; John L Sievenpiper Journal: BMJ Date: 2021-08-04