Extended goal programming DASH diet plan for stroke patients

Abstract

Goal Programming (GP) optimizes decisions in diet planning by computing efficient solutions that minimize deviations from the recommended nutrient goals target levels. Extended Goal Programming (EGP) enhances the flexibility of the GP model by using additional maximal deviation parameters that create a balance between efficiency and equity in the model. This work presents an EGP 2000-calorie daily Dietary Approaches to Stop Hypertension (DASH) diet plan for stroke patients. The proposed diet plan minimizes deviations from daily recommended nutrient targets, addressing the dual role of diet in stroke prevention and recovery. Data from the recommended food chart and nutrient levels were collected from the Nutritional Epidemiology Institute and DASH diet plan bulletins while the food samples and weights were obtained from Abia State, Nigeria. This study achieves three objectives: formulating an EGP diet model, presenting an efficient diet plan, and comparing results with those of other GP model variants. LINGO software is used in the analysis. The diet plan obtained showed six goals targets out of nine were achieved. A comparison of the EGP diet plan with the Chebyshev GP diet plan highlights the EGP’s flexibility and efficiency than the latter.