MS-Nutrition, Marseille, France.
Aix Marseille University, INSERM, INRA, C2VN, Marseille, France.
Adv Nutr. 2018 Sep 1;9(5):602-616. doi: 10.1093/advances/nmy049.
A sustainable diet is, by definition, nutritionally adequate, economically affordable, culturally acceptable, and environmentally respectful. Designing such a diet has to integrate different dimensions of diet sustainability that may not be compatible with each other. Among multicriteria assessment methods, diet optimization is a whole-diet approach that simultaneously combines several metrics for dimensions of diet sustainability. This narrative review based on 67 published studies shows how mathematical diet optimization can help with understanding the relations between the different dimensions of diet sustainability and how it can be properly used to identify sustainable diets. Diet optimization aims to find the optimal combination of foods for a population, a subpopulation, or an individual that fulfills a set of constraints while minimizing or maximizing an objective function. In the studies reviewed, diet optimization was used to examine the links between dimensions of diet sustainability, identify the minimum cost or environmental impact of a nutritionally adequate diet, or identify food combinations able to combine ≥2 sustainability dimensions. If some constraints prove difficult to fulfill, this signals an incompatibility between nutrient recommendations, over-monotonous food-consumption patterns, an inadequate supply of nutrient-rich foods, or an incompatibility with other dimensions. If diet optimization proves successful, it can serve to design nutritionally adequate, culturally acceptable, economically affordable, and environmentally friendly diets. Diet optimization results can help define dietary recommendations, tackle food security issues, and promote sustainable dietary patterns. This review emphasizes the importance of carefully choosing the model parameters (variables, objective function, constraints) and input data and the need for appropriate expertise to correctly interpret and communicate the results. Future research should make improvements in the choice of metrics used to assess each aspect of a sustainable diet, especially the cultural dimension, to improve the practicability of the results.
可持续饮食的定义是在营养充足、经济负担得起、文化上可接受和环境友好的前提下实现的。设计这样的饮食必须整合饮食可持续性的不同维度,这些维度可能彼此不兼容。在多标准评估方法中,饮食优化是一种整体饮食方法,它同时结合了饮食可持续性维度的几个指标。本综述基于 67 篇已发表的研究,展示了数学饮食优化如何帮助理解饮食可持续性的不同维度之间的关系,以及如何正确使用它来确定可持续饮食。饮食优化旨在为人群、亚人群或个体找到最佳的食物组合,以满足一组约束条件,同时最小化或最大化目标函数。在综述中,饮食优化被用于研究饮食可持续性维度之间的联系,确定营养充足饮食的最低成本或环境影响,或确定能够结合≥2 个可持续性维度的食物组合。如果某些约束条件难以满足,这表明营养素推荐、过度单调的食物消费模式、营养丰富食物供应不足或与其他维度不兼容之间存在不兼容性。如果饮食优化成功,它可以用于设计营养充足、文化上可接受、经济上负担得起和环境友好的饮食。饮食优化结果可以帮助定义饮食建议,解决食品安全问题,并促进可持续的饮食模式。本综述强调了仔细选择模型参数(变量、目标函数、约束)和输入数据的重要性,以及需要适当的专业知识来正确解释和传达结果。未来的研究应该改进用于评估可持续饮食各个方面的指标的选择,特别是文化维度,以提高结果的实用性。