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Advances in Theoretical & Computational Physics(ATCP)

ISSN: 2639-0108 | DOI: 10.33140/ATCP

Impact Factor: 2.62

A Summarized Report of Three Research Reports Regarding the Ability of Accurately Predicting Body Weight, Fasting Morning Glucose, and Post-Meal Glucose and Their Impacts on Daily Averaged Glucose, Overall Metabolism, and CVD Risks Using Viscoplastic Energy Model of GH-Method: Math-Physical Medicine (No. 1002, VMT #400, 12/16-17/2023)

Abstract

Gerald C. Hsu

This article presents a summarized report of three individual analyses conducted by the author on glucose, metabolism, CVD risk and their three common influential factors of both measured and predicted body weight (BW), fasting morning glucose (FPG), and post-meal glucose (PPG)

  • Paper number 999: daily average glucose (eAG or M2) vs. BW, FPG, PPG.
  • Paper number 1000: metabolism index (MI) vs. BW, FPG, PPG.
  • Paper number 1001: cardiovascular disease risks (CVD) vs. BW, FPG, PPG.

The author utilized the space-domain viscoplastic medicine energy theory (SD-VMT) to explore dynamic interactions between these three biomedical outputs and three common influential factors over a period of 8.5 years from 8/1/2015 to 12/15/2023.

In conclusion, the summarized findings, based on SD-VMT energies, are: Firstly, his developed 3 prediction equations for body weight, FPG and PPG had demonstrated exceptionally high accuracy and very high waveform similarities, both exceeding 99% (based on 90days moving average data over 8.5 years from 8/1/2025 to 12/15/2923). Secondly, in these three cases of daily average glucose (eAG or M2), metabolism index (MI), and cardiovascular disease risks (CVD), the most significant influential factor is his fasting glucose (FPG, an indicator of pancreatic beta cells’ health state, including insulin resistance), ranking at 38%-39%, followed by his body weight (BW) at 32%, and his post-meal glucose (PPG) at 29%-30%.

Thirdly, all of correlations between outputs and inputs for both measured and predicted cases are high and shown below:

  • M2: 91%-99%
  • MI: 78%-92%
  • CAV: 79%-92%

All of 18 calculated waveform similarities (correlations) are quite high and greater than 78%.

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