Viscoelastic Or Viscoplastic Glucose Theory (VGT #39): Applying the VEGT or VPGT to Study the Effect of Role Switching for Cause and Symptom, CVD Risk Versus Cancer Risk and Cancer Risk Versus CVD Risk, And Using Viscoelastic Perturbation Model to Predict the Risks of Having CVD or Cancer Using Calculated Risk Data of a 12+ Years Period from Y2012 to

Abstract

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 blood pressure (BP), heart rate (HR), and blood lipids along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on these 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 lipids. The second group is lifestyle details (LD) with 6 categories: food, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each of these 2 groups of MC and LD and their 10 categories. His calculated risk probability percentage of developing complicated diseases, such as cardiovascular disease (CVD) or cancers, are based on this above-described metabolism model. This metabolism index model (MI) includes the root causes of 6 lifestyle details and 4 disease symptoms including rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia.