Using multiobjective optimization models to establish healthy diets in Spain following Mediterranean standards
Mónica Hernández (),
Trinidad Gómez (),
Laura Delgado-Antequera () and
Rafael Caballero ()
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Mónica Hernández: Universidad de Málaga
Trinidad Gómez: Universidad de Málaga
Laura Delgado-Antequera: Universidad de Málaga
Rafael Caballero: Universidad de Málaga
Operational Research, 2021, vol. 21, issue 3, No 20, 1927-1961
Abstract Last reviews show how the Spanish consumption patterns have become away from the Mediterranean diet, traditionally consumed in Spain and widely supported by the nutritional expert community. Hence, the aim of this study is to explore and provide different alternatives to the current Spanish diet. The idea is to obtain a set of palatable diets fulfilling the nutritional requirements and conform the Mediterranean standards, while staying as close as possible to the current population pattern, under a budget constraint. In this context, different models are developed using multiobjective techniques. Additionally, this work defines an alternative diet more stable in comparison with the diets on the boundary of the feasible set. The consumption data used in this study is taken from Ministerio de Agricultura y Pesca, Alimentación y Medio Ambiente (in Spanish MAPAMA) that contains relevant information about the foods consumed in Spain. Using this data, each model has been solved with Matlab Software, obtaining different feasible diets, whose composition corresponds to the suggested daily intake for a Spanish adult. In any case, the budget constraint reduces the current cost and fulfills the nutritional requirements, attending to the Mediterranean standards. Results show different food baskets to guide the current Spanish diet towards the consumption of healthy foods in the appropriate proportions, going back to the diet traditionally consumed.
Keywords: Dietary patterns; Mediterranean diet (MD); Goal Programming; Weighted Tchebycheff metric; 90C29; 90C90 (search for similar items in EconPapers)
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