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Multi-Objective Optimization of Nutritional Environmental and Economic Aspects of Diets Applied to the Spanish Context

机译:营养环境和经济方面的多目标优化适用于西班牙背景

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摘要

Current food consumption patterns must be revised in order to improve their sustainability. The nutritional, environmental, and economic consequences of these dietary patterns must be taken into consideration when diet guidelines are proposed. This study applied a systematic optimization methodology to define sustainable dietary patterns complying with nutritional, environmental, and economic issues. The methodology was based on a multi-objective optimization model that considered a distance-to-target approach. Although the three simultaneous objectives (maximal nutritional contribution, minimal greenhouse gas emissions, and minimal costs) could be divergent, the proposed model identified the optimal intake of each food product to achieve the maximal level of nutritional, environmental, and economic diets. This model was applied to six different eating patterns within the Spanish context: one based on current food consumption and five alternative diets. The results revealed that dietary patterns with improved nutritional profiles and reduced environmental impacts could be defined without additional costs just by increasing the consumption of vegetables, fruits, and legumes, while reducing the intake of meat and fish.
机译:必须修改当前的食品消费模式,以提高其可持续性。在提出饮食指南时,必须考虑这些饮食模式的营养,环境和经济后果。本研究应用了系统优化方法,以确定符合营养,环境和经济问题的可持续饮食模式。该方法基于多目标优化模型,其考虑了距离目标方法。虽然三个同时的目标(最大营养贡献,最小的温室气体排放和最小成本)可能是发散的,但该模型确定了每种食品的最佳摄入,以实现营养,环境和经济饮食的最大水平。该模型应用于西班牙背景下的六种不同的饮食模式:一个基于当前食品消费和五种替代饮食。结果表明,通过增加蔬菜,水果和豆类的消费,可以在没有额外成本的情况下定义具有改善的营养谱和降低环境影响的饮食模式,同时减少肉类和鱼的摄入量。

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