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 Patients Collected Data Lifestyle and Biomarkers by Applying the VGT Energy Tool from Physics and Engineering Based on GH-Method: MathPhysical Medicine (No. 663)

Abstract

Gerald C Hsu

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).

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