Viscoelastic or Viscoplastic Glucose Theory (VGT 43): A Research of Statistics Methods Influences on Math-Physical Medicine Subjects by using Statistical Correlations as Initial Examination Tool to Explore the Inter-Relationships of Three Selected Biomarkers, CVD Risk%, Averaged Daily Glucose (eAG), and HbA1C% (A1C), within Three Different Selected Time-Windows, 15-Months, 46-Months, and 8.2 Years (98-Months), also Applying VGT and Viscoelastic Perturbation Model to Predict Three Sets of Predicted CVD Risk % Based on the GH-Method: Math-Physical Medicine (No. 624)

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 (BP), heart rate (HR), and blood lipids along with lifestyle details (LD). Based on the collected big data, he further organized them into two main groups. The first is the medical conditions group (MC) with 4 categories: weight, glucose, blood pressures, and blood lipids. The second is the LD group with 6 categories: food & diet, exercise, water intake, sleep, stress, and daily routines. At first, he collected his data on a daily basis since Y2012 and then calculated a unique combined daily score for each of the 10 categories within the MC and LD groups. The combined scores of the 2 groups, 10 categories, and 500+ detailed elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes from 6 major lifestyle inputs and symptoms from 4 rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. Therefore, it can serve as the foundation and building block for his additional research work that can expand into various diseases associated with different organs, such as cardiovascular diseases (CVD), and various cancers

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