Assessment of Six Diseases Resulted From Four Lifestyle Details Using both Statistical Correlation and Viscoplastic Energy Model of Ghmethod: Math-Physical Medicine (No. 956, VMT #355)

Abstract

Gerald C Hsu

After conducting three studies on metabolic disorders, focusing on the author’s body weight (BW), fasting morning glucose (FPG), and postmeal glucose (PPG), the author scientifically established that food portion is the primary factor influencing his BW. His body weight is intricately linked to his FPG level, reflecting his pancreatic beta cells' insulin quality and emission. The FPG value further serves as the baseline for PPG formation, contributing over 50%, while diet and exercise are two significant secondary factors. He has proven that the ratio between his carb/sugar intake and his post-meal walking steps is 1.6 (31% divided by 19%), mirroring the explanation of pathophysiological pathways of 8 with diet versus 5 with exercise.

Building on these findings, the author extended his research to examine six deadly diseases against four basic biomarkers: body weight (m1), glucose levels (m2), blood pressures (m3), and blood lipids/ cholesterols (m4). And then, this particular article delves into hidden relationships and dynamics (i.e. energies) between these six diseases and four lifestyle details. Data collection spanned from 2012 (incomplete data) to an 11-year period from 1/1/2013 to 11/14/2023 for this study. Highest correlations (95-96%) exist between the 6 diseases and food plus drinking water (food/H2O) and stress plus daily routines (stress/routines), followed by sleep conditions (85%). The lowest correlation (70%) is observed with his walking exercise (steps), attributed to the author's aging and reduced exercise level after 2018, forming a "bowel" curve shape.

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