Viscoelastic or Viscoplastic Glucose Theory (VGT 13): Applying the Theories of Elasticity, Plasticity, Viscoelasticity, and Viscoplasticity to Study the Metabolism Index (MI) and Cardiovascular Disease Risk Probability Percentage Over a 10+ Year Period from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 592)

Abstract

Gerald C Hsu

The author has collected ~1.5 million data of his health condition and lifestyle details over the past 12 years. In 2014, he developed a metabolism index (MI) model using a topology concept, nonlinear algebra, algebraic geometry, and finite element method. The MI model contains key biomarker data, such as body weight, glucose, blood pressure, heart rate, lipids, body temperature, and blood oxygen level, along with important lifestyle details, including diet, exercise, sleep, stress, water intake, and daily life routines. The 10 categories cover about 500 detailed elements that constitute the defined metabolism model which are the root-causes for diabetes complications, including cardiovascular disease (CVD), chronic heart disease (CHD), chronic kidney disease (CKD), retinopathy, neuropathy, foot ulcer, etc. The end result of the MI development is a combined MI value within any selected time period with 73.5% as the dividing line between a healthy state and unhealthy state. That is why he applied the MI value to develop the risk probability model of having CVD or CHD. In this article, the author conducts additional research work to discover some hidden relationship between the CVD risk probability (outcomes or strain) and MI values (inputs or stress) by applying the viscoelasticity and viscoplasticity theories. The behaviors and hidden relationships between the two biomarkers, MI values and CVD risks, are time-dependent, which are changing from time to time.

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