Viscoelastic or Viscoplastic Glucose Theory (VGT #73): A Study on a Chain-Effect of Multiple Causes Versus Single Symptom Starting with Lifestyle Through Diabetes, Cardiovascular Disease, and Cancers to Longevity using a Type 2 Diabetes Patient’s Collected Data of Lifestyle and Biomarkers by Applying the VGT Energy Tool from Physics and Engineering Based on GH-Method: MathPhysical Medicine (No. 663)

Abstract

The author focuses on investigating the relationships between biomedical causes and symptoms. In the medical field, it is clear that some symptoms can turn into causes for other symptoms as explained by the “m by n” matrix model in the Method Section. To date, he has applied viscoelasticity and viscoplasticity from engineering and physics to his medical research work with 72 written papers. However, most of his VGT studies are (1 x n) matrix, which is a single symptom corresponding to multiple causes. Here, he attempts to develop a “chain-effect” study of four sets of (1 x n) studies, from postprandial plasma glucose (PPG) through estimated average glucose (eAG) and cardiovascular disease (CVD) to the final estimated health age (geriatrics). The first set is PPG vs. carbs & steps, the second set is eAG vs. FPG & PPG, the third set is CVD risk vs. obesity & type 2 diabetes (T2D), and the fourth set is health age (longevity) vs. cancers risk & CVD risk. After conducting four individual VGT analyses, he further investigates a combined VGT study of longevity vs. obesity, CVD, T2D, and cancer (a 1 x 4 model). Since December 2021, the author has written and published ~70 articles using the viscoelasticity and viscoplasticity theories (VGT) from physics and engineering disciplines on chosen medical subjects. These papers aim to explore some hidden biophysical behaviors and provide a quantitative understanding of inter-relationships between a selected symptom biomarker and a few intermediate steps that include a variety of selected multiple influential factors, “causes”, or “risk factors”. The hidden biophysical behaviors and possible inter-relationships between diseases, complications, or longevity, and selected different sets of multiple risk factors are “time-dependent” which means that all of these variables are changing from time to time. This is why he utilizes VGT from physics and engineering to conduct his medical research work. His research of various biomarkers starts with fasting plasma glucose (FPG). FPG not only reveals many key facts regarding human health, such as pancreatic beta cells, but it also serves as the baseline of PPG. After knowing the PPG baseline level from FPG, the influences from both carbs/sugar intake amount (a “plus” effect) and post-meal walking steps of exercise (a “minus” effect) then enter into the equation to form the ultimate PPG level. After combining FPG and PPG, the HbA1C level can be determined. If hyperglycemic (high glucose level) conditions last for a long period, diabetes will develop. Eventually, diabetes will damage many internal organs of the human body which may result in many complications, such as CVD, stroke, chronic kidney disease (CKD), diabetic retinopathy (DR), neuropathy, foot ulcer, bladder infection, hypothyroidism, even diabetic constipation, and diabetic skin fungal infection.