Viscoelastic or Viscoplastic Glucose Theory (VGT 42): Using Statistical Correlation as an Initial Examination Tool Before Applying VGT to Study the Inter-Relationships of the CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) & HbA1C, Before Applying the Viscoelastic Perturbation Model to Predict Two CVD Risk Probability % over a 46-Month Period from May of Y2018 to February of Y2022 Based on the GH-Method: Math-Physical Medicine (No. 623)

Abstract

Gerald C Hsu

Since 2012, the author has been collecting his body weight and finger-piercing glucose values each day. In addition, he accumulates medical conditions data including a combination of data for blood pressure, heart rate, and blood lipids along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on the collected big data, he further organized them into two main groups. The first group is medical conditions (MC) with 4 categories: weight, glucose, BP, and blood lipids. The second group is lifestyle details (LD) with 6 categories: food & diet, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each MC and LD with their 10 categories. The combined scores of the 2 groups, 10 categories, and 500+ elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes for 6 lifestyle inputs and 4 symptoms of diseases including the rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. It serves as the foundation and building block for his additional research work expanded into various diseases associated with different organs

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