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Título del libro: Generator Of Diets For Individuals With Diabetes With Minimization Of Glycemic Index

Autores UNAM:
ESTHER SEGURA PEREZ;
Autores externos:

Idioma:
Inglés
Año de publicación:
2017
Palabras clave:

Health care; Linear programming; Optimization; Energy requirements; Glycemic index; Linear programming models; Objective functions; Simulation; Type 1 diabetes mellitus; Nutrition


Resumen:

In the present paper, the concept of glycemic index of foods is taken as a measure for the dietary control of type 1 diabetes mellitus and it is included as an "objective function" in a linear programming model that will serve to generate a proposal of diet; it takes into consideration the energy requirements and the number of macronutrients (carbohydrates, proteins, and lipids). The linear programming model is based on "equivalent" food groups with standardized measures that, on average, have the same number of macronutrients, thus facilitating the exchange of food within each group. The flexibility of the model allows changes in the matrix of resources and constraints, generating scenarios for various diet proposals for different energy requirements based on a low glycemic index.


Entidades citadas de la UNAM: