Investigation of Food and Relative Risk Probability of Having Five Different Diseases, Including Diabetes Using Collected Food Data Over A 6.5-Year Period Based on GHMethod: Math-Physical Medicine (No. 492)

Abstract

Gerald C Hsu

The author is a professionally trained mathematician, physicist and engineer. His view of health and medicine is similar to his past experience on designing a physical object, such as a building structure or a working machine, which he calls an “object”. The object’s strength or its expected lifespan is similar to the health conditions and longevity of a human being based on the following three key factors: (1) The original strength of the object’s material which is similar to the genetic factors of a human body. (2) The engineering design and site construction of this object are similar to the fundamental influential causes, including lifestyle details, life-long habits, and environmental factors, on the human health. Among those external causes, if the author has to pick up one category which has the most influence above of all that is the “food”. (3) The object endures different operational problems due to external forces or impacts which are similar to various diseases suffered by humans. After the object experiences external forces or impacts, we use some structural reinforcements to fix the building’s damaged cracks or replace the malfunctioned part of the machine. These engineering actions are similar to the “medical treatments” doctors provide patients. The medical treatments, including medication interventions (oral drugs or biochemical injections), necessary surgeries, or certain organ transplants are similar to the engineering repair of the damaged object. This article emphasizes the relationship between causes and results such as symptoms of diseases. It particularly addresses the inter-relationship of 5 selected diseases: cancers, cardiovascular diseases (CVD), chronic kidney diseases (CKD), diabetic retinopathy (DR), and type 2 diabetes (T2D), where the most important cause for most diseases is “food”. This food category in his study contains 25 defined elements include input data of food are collected via the developed iPhone APP. There are 5 elements for “Food Quantity”: breakfast amount, lunch amount, dinner amount, amount of between-meals snacks and fruits, and the average daily food consumption amount. In addition, there are 20 selected elements for “Food Quality” (see Figure 1). The combined Food score is the average value of both food quantity score and food quality score.

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