A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases

Cardiovascular diseases or simply heart diseases are considered to be a major cause of death in low- and middle-income countries. One of the major risk factors of heart diseases is the unhealthy diet and obesity. To dive into the depth of the relationship between nutrients and heart diseases, we formulate mathematical equations considering different quantitative and qualitative factors. We computationally simulate the equations using two sets of values. Our experimental results show that for the case of over-nutritional status, the worst form of nutritional status in the context of heart disease, cardiovascular disease development gets very sharp boost. For the case of under-nutritional status, heart disease development gets a boost but compared to over-nutritional status it is a bit better, while for the case of normal-nutritional status, the possibility of cardiovascular disease development is low. These results well explain the impact of nutritional status on the development of cardiovascular diseases at per clinical expectations.