Viscoelastic or Viscoplastic Glucose Theory (VGT #44): Applying VGT to Study the Relationship of CGM Sensor Fasting Plasma Glucose (FPG) Versus Body Temperature in Early Morning, While Using a Viscoelastic Perturbation Model to Predict FPG values over a 18-Month Period from 10/1/2020 to 3/7/2022 Based on the GH-Method: Math-Physical Medicine (No. 625)

Abstract

Gerald C Hsu

Since 2012, the author has been collecting his body weight (BW) and finger-piercing glucose values 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 gathers 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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