Using Starchy Food to Investigate Insulin Resistance State of Pancreatic Beta Cells Based on Viscoplastic Energy Model of GH-Method: Math-Physical Medicine (No. 1047, VMT #445)

Abstract

Gerald C. Hsu

Pathophysiologically, insulin resistance (IR) results in decreased glucose uptake by cells and a failure to regulate the liver's overproduction of glucose, leading to elevated fasting plasma glucose (FPG) levels. Additionally, due to IR, the body is unable to efficiently clear the postprandial glucose (PPG) surge from the blood. Obesity is often linked with insulin resistance, creating a cycle where IR can lead to body weight (BW) gain, and excessive BW, in turn, exacerbates IR.

The author's previous research work using the math-physical medicine (MPM) method has already indicated that FPG levels in the early morning are a relatively accurate indicator of IR severity. Moreover, FPG also contributes to approximately 70% to 80% of the PPG level, acting as its baseline, while the remaining 20% to 30% of PPG is primarily influenced by carbohydrate and sugar intake and post-meal physical activity. Based on data collected from 1/1/2015 to 3/28/2024, a high correlation of 83% between body weight (BW) and FPG has also been established.

In this study, the author isolated 264 meals (2.6%) containing "starchy food," such as rice and toast, from a total of 10,039 meals (100%) over nine years (May 1, 2015, to March 28, 2024) for a space-domain Viscoplastic medicine energy (SD-VMT) analysis. This analysis estimated his “linear annual IR% values” based on an average annual reduction rate of 2.8%, from 100% in 2015 to 72% in 2024, with input values of FPG, PPG, and BW from selected meals with starchy foods.

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