Viscoelastic or Viscoplastic Glucose Theory (VGT #70): A Study of Biophysical Characteristics of Strain and Stress Using Risk Probability % of Cardiovascular Disease (CVD), Chronic Kidney Disease (CKD), and Cancers Versus the Same Set of Three Selected Viscosity Factors or Risk Factors, m2 (glucose), m3 (blood pressure), and m4 (blood lipids) Using a Customized Software Program and VGT Energy Tool

Abstract

The author has been a type 2 diabetes (T2D) patient since 1995. Beginning in 2012, he started to collect his body weight and finger-piercing glucose data every day. In addition, since 2015, he accumulates other medical condition-related biomarker data, including a combination of blood pressure (BP), heart rate (HR), and blood lipid data along with important 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 chronic disease-related categories: weight, glucose, BP, and blood lipids. The second is the lifestyle details group (LD) with 6 root-cause and lifestyle-related categories: food & diet, exercise, water intake, sleep, stress, and daily life routine. As of 1/1/2015, he calculated a unique combined daily score for 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)” value.