Relationships between Cancer Risks and Four Biomarkers of type 2 Diabetes Disease, Insulin Resistance via FPG, Glycemic Control via HbA1c and eAG, Hyperglycemia Intensity using Viscoplastic Energy Model of GH-Method: Mathphysical Medicine (No. 959, VMT #358, 11/20/2023)

Abstract

Gerald C Hsu

Combination of diet quality and food portion control play a crucial role in influencing human’s body weight which is a primary factor in the progression of type 2 diabetes (T2D) conditions. Furthermore, T2D is characterized by four key biomarkers: insulin resistance (via morning fasting glucose - FPG levels), glycemic control status (via daily averaged glucose - eAG), quarterly glycemic control status (via HbA1c levels), and hyperglycemia control (via hyperglycemia intensity - HyGI). Here, HyGI is defined as the product of averaged glucose above 180 mg/dL multiplied by frequency counts of glucose above 180 mg/dL).

This article delves into the author's investigation of his own cancer risks related to the aforementioned four T2D biomarkers. The author’s collected personal data spans six years, from 5/1/2018 through 11/19/2023. Traditional statistical correlations revealed four low correlations (ranging between 14% and 41%) between the author's cancer risk waveform and the four influential input waveforms. Subsequently, the author employed the space-domain viscoplastic energy (SD-VMT) method from advanced engineering to unveil hidden relationships and dynamics (i.e., energies) among these four T2D biomarker inputs and the author's output of his annual cancer risks.

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