Analyzing relations among weight, FPG, and PPG using statistical correlation analysis and Linear Elastic Glucose Theory of GH-Method: math-physical medicine, LEGT Part 20 (No. 402)

Abstract

Gerald C Hsu

The author uses collected health and medical data of three clinic cases during a time period from 3/3/2020 to 2/14/2021. At first, he supplied statistical correlation analysis to study the degree of relationships of weight versus FPG and FPG versus PPG. He then applies his developed two moduli, GH-f and GH-p from the linear elastic glucose theory (LEGT) to calculate and evaluate the separated contribution percentages of three contributors within each period. These three contributors are: (1) postprandial plasma glucose (PPG) baseline factor via fasting plasma glucose (FPG) and GH-f Modulus, (2) diet factor via carbs/sugar intake amount and GH-p Modulus, and (3) exercise factor via post-meal walking steps. His purpose is to identify the FPG variance and its contribution on PPG formation due to the hidden strength from the overall health state of pancreatic beta cells.

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