Relationships between Parkinson’s disease 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 GHMethod: Math-Physical Medicine (No. 960, VMT #359, 11/21/2023)

Abstract

Gerald C Hsu

The interplay of diet quality and portion control significantly impacts body weight, a pivotal factor in type 2 diabetes (T2D) progression. T2D is marked by four key biomarkers, including insulin resistance (via morning fasting glucose - FPG), glycemic control (via daily averaged glucose - eAG), quarterly glycemic control (via HbA1c levels), and hyperglycemia situation control (via hyperglycemia intensity - HyGI). Here, his HyGI is calculated as the product of averaged glucose above 180 mg/dL multiplied by the frequency of glucose above 180 mg/ dL. This study delves into the author's Parkinson's disease (PD) risks linked to the aforementioned four T2D biomarkers, drawing from personal data collected over past six years, from 5/1/2018 to 11/20/2023. Traditional statistical analysis reveals strong correlations (ranging from 65% to 91%) between the author's PD risk and his four influential T2D biomarkers. Furthermore, the author employs the space- domain viscoplastic energy (SD-VMT) method from advanced engineering to uncover hidden relationships and dynamics (i.e. energies) between these T2D biomarkers and the author's annual PD risk output.

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