Linear Relationship Between Carbohydrates & Sugar Intake Amount and Incremental PPG Amount via Engineering Strength of Materials using GHMethod: Math-Physical Medicine, Part 1 (No. 346)

Abstract

This article is a special research on the linear elasticity behavior of glucose using his defined GH-modulus (or M2) to link the input of carbs/sugar intake amount and output of incremental PPG amount. Here is the formula he used in his previously published papers: Predicted PPG= (FPG* 0.97) + (carbs/sugar grams * M2) - (post-meal waking K-steps * 5) He has connected this biomedical equation with a basic concept of stress and strain, along with the Young’s modulus of strength of materials in structural and mechanical engineering. Using his collected 11,580 data of glucose, food, and exercise, he has demonstrated that a “pseudo-linear” relationship indeed existing between the carbs/sugar intake amount multiplied with a “GH modulus (i.e. M2)”, which is similar to the “stress” on an engineering system; and the incremental PPG amount, which is similar to the “strain” of an engineering system. A newly defined coefficient of “GH-modulus” as the value of M2 multiplier is similar to the Young’s modules of stress-strain relationship in the subject of engineering strength of materials. This investigation has proven the existing pseudo-linear relationship between food as stress on the liver and incremental glucose as strain from the liver, particularly during his better controlled period of diabetes from 7/1/2015 to 10/13/2020. This article is a special research on the linear elasticity of glucose with his defined GH-modulus (or M2) and engineering modeling methodologies to investigate various biomedical problems. This methodology and approach are resulted from his specific academic background and different professional experiences prior to his medical research work beginning in 2010. Therefore, he has been trying to link his newly acquired biomedical knowledge over the past decade with his previously acquired mathematics, physics, computer science, and engineering knowledge over 40 years. The human body is the most complex system he has dealt with. However, by applying his previous acquired knowledge to his newly found interest of medicine, he can discover many hidden facts or truths inside the biomedical systems. Many basic concepts, theoretical frame of thoughts, and practical modeling techniques from his fondamental disciplines in the past can be applied to his medical research endeavor. After all, science is based on theory via creation and proof via evidence, and as long as we can discover hidden truths, it does not matter which method we use and which way we take. This is the foundation of the GH-Method: math-physics medicine.