Assessment of Six Diseases Resulted From Four Metabolic Biomarkers Using both Statistical Correlation and Viscoplastic Energy Model of Gh-Method: Math-Physical Medicine (No. 955, VMT #354, 11/15-17/2023)

Abstract

Gerald C Hsu

After completing three studies on fundamental aspects of metabolic disorders, specifically body weight (BW), fasting glucose in the early morning (FPG), and post-meal glucose (PPG), the author has scientifically demonstrated that his food portion is the primary factor influencing his BW. And his BW is intricately linked with his FPG, indicating the health status of pancreatic beta cells' insulin quality and emission. Furthermore, his FPG serves as the baseline for his PPG, contributing 50% or more, with diet and exercise as two most important secondary influential factors. The specific ratio between his carbs/sugar intake and post-meal walking steps exhibits a notable ratio of 1.6 (31% dividing by 19%), mirroring the ratio between two pathophysiological pathways of diet (8) versus exercise (5).

Building on these foundations, the author extended his research to investigate six deadly diseases versus four basic biomarkers, including body weight (m1), glucose levels (m2), blood pressures (m3), and blood lipids or cholesterols (m4). This article explores hidden relationships and dynamics (i.e. energies) between these 6 diseases and 4 metabolic biomarkers. His data collection started in 2012 (with incomplete data), focusing on an 11year period from 1/1/2013 to 11/14/2023. Correlations between the six deadly diseases and both body weight (m1) and glucose levels (m2) are higher than those with blood pressure (m3) and cholesterol (m4). These statistical findings resonate closely with the author's observation of his personal health journey, having experienced obesity (220 lbs with BMI 32.5) and type 2 diabetes (averaged daily glucose around 200 mg/dL and postprandial glucose hyperglycemia around 300 mg/dL). Notably, his blood pressure (m3) was elevated during 2013-2014 only, while his cholesterol (m4) exhibited fluctuations below a normalized 100% level (safe ranges).

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