Viscoelastic or Viscoplastic Glucose Theory (VGT 41): Applying VGT to Study the Relationship of CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) and its Calculated HbA1C, while using the Viscoelastic Perturbation Model to Predict Two CVD Risk % Values over a 15-Month Period from October of Y2020 to February of Y2022 Based on the GH-Method: Math-Physical Medicine (No. 622)

Abstract

Gerald C Hsu

Since 2012, the author has been collecting his body weight (m1) and finger-piercing glucose values (m2) each day. In addition, he accumulates medical conditions data including a combination of data for blood pressure (BP) and heart rate (HR), 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 of 6 lifestyle inputs and 4 symptoms of the disease including the rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia.

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