GH.p-Modulus Study During Three Periods using Finger-Piercing Glucoses And Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 15 (No. 369)

Abstract

This article is Part 15 of the author’s linear elastic glucose behavior study. It focuses on a deeper investigation of GH.p-modulus over three periods: 2017-2019, 2020, and 2017-2020. The author plans to conduct additional studies on linear elastic glucose behavior theory in order to obtain a solid and better understanding on the glucose coefficient of GH.p-modulus. Here is the step-by-step explanation for the predicted postprandial plasma glucose (PPG) equation using linear elastic glucose theory as described in [9, 22]: (1) Baseline PPG equals to 97% of fasting plasma glucose (FPG) value, or 97% * (weight * GH.f-Modulus). (2) Baseline PPG plus increased amount of PPG due to food, i.e., plus (carbs/sugar intake amount * GH.p-Modulus). (3) Baseline PPG plus increased PPG due to food, and then subtracts reduction amount of PPG due to exercise, i.e., minus (post-meal walking k-steps * 5). (4) The Predicted PPG equals to Baseline PPG plus the food influences, and then subtracts the exercise influences. The linear elastic glucose equation is: Predicted PPG = (0.97 * GH.f-modulus * Weight) +(GH.p-modulus * Carbs&sugar) - (post-meal walking k-steps * 5) Where, (1) Incremental PPG = Predicted PPG - Baseline PPG + Exercise impact (2) GH.f-modulus = FPG / Weight (3) GH.p-modulus = Incremental PPG / Carbs intake Therefore, GH.p-modulus = (PPG - (0.97 * FPG) + (post-meal walking k-steps * 5)) / (Carbs&Sugar intake) The study in this article calculates and analyzes the glucose coefficient of GH.p-modulus values for three periods. The variation range of GH.p-modulus values are between 1.8 for 2017-2019, and 2.2 for 2020 with an average of 1.8 for 2017-2020. The average GH.p-modulus value of 1.8 for the 2017-2019 (pre-virus) period is quite close to his overall biomarker indicators for health and lifestyle. The average GH.p-modulus value of 2.2 for the 2020 (COVID-19) period is higher than the pre-virus sub-period due to the combination of his lower FPG (-10 mg/dL or -9%), lower PPG (-7 mg/dL or -6%), along with lower carbs/sugar intake amount (-1.6 grams or -11%). However, the average GH.p-modulus value of 1.8 for the total period of 2017-2020 (both pre-virus and COVID-19) reflects his overall and normal situations for health and lifestyle. This paper investigates the likely situations of the author’s health conditions and lifestyle details. The GH.p-modulus values have a small variance between 1.8 to 2.2, where the differences are insignificant. Any number located between the range of 1.8 to 2.2, which skews toward the lower side of the scale, can be used as the application value for the GH.p-modulus in order to predict PPG. The study utilizes a step-by-step illustration, moving from the difference between PPG and FPG, going through the Incremental PPG, then arriving at the Predicted PPG. In the described steps, the most important variable is the GH.p-modulus. That is why the author has conducted many parts of this research of linear elastic glucose theory in order to acquire a good and solid understanding for the GH.p-modulus.