inner-banner-bg

Journal of Applied Material Science & Engineering Research(AMSE)

ISSN: 2689-1204 | DOI: 10.33140/AMSE

Impact Factor: 0.98

Psychological Behaviors and Pathophysiological Characteristics of a Diabetes Patient using Space-Domain Analysis and Viscoplastic Energy Model in GH-Method: Math-Physical Medicine (No. 1021, Viscoelastic Medicine Theory #419)

Abstract

Gerald C. Hsu

A patient's management of type 2 diabetes (T2D) through lifestyle choices is intricately connected to his/ her understanding of diet and exercise, specifically food nutrition, as well as psychological traits such as determination, willpower, and persistence. Unlike taking medications, which is simple and easy, adhering to a diet and exercise regimen demands a comprehensive knowledge of food nutrition and strong persistence to maintain a routine over the long term to achieve positive results.

This paper investigates the relationship between hemoglobin A1C (HbA1C or A1C) levels and five input factors: body weight (BW), fasting glucose (FPG), post-meal glucose (PPG), carbohydrate and sugar intake grams (carbs), and post-meal walking steps (steps).

The analysis leverages personal data collected by the author since 2010. Data collection began on January 1, 2010, with limited data available. However, daily data collection, including each meal, commenced on May 1, 2015.

The first part of this study compares the psychological behaviors with the pathophysiological changes in both A1C and carbs/steps over the past 15 years using a two-dimensional space-domain analysis. The second part of this study, focusing on viscoplastic energy, utilizes the most recent 10 years of collected data.

In summary, the initial part of this study reveals a significant disparity in carbohydrate/sugar intake (on the x-axis) and walking steps (on the y-axis) between 2010-2014 and 2015-2024. During the first five years, the author's average carbohydrate intake was high, and walking steps were low, indicating a lack of understanding of food nutrition and inadequate engagement in exercise. This is reflected in his A1C levels, demonstrating the impact of his diet and exercise. These trends are clearly depicted in the two-dimensional space-domain chart for the initial five years. Post-2015, the chart illustrates a smaller, more concentrated area, signifying a stronger correlation between the author's psychological behavior, nutritional knowledge, and pathophysiological characteristics, leading to consistently lower HbA1C levels (below 7%).

In the subsequent part of this study, the viscoplastic energy ratios are:

BW = 29%

FPG = 20%

PPG = 18%

Carbs = 25%

Steps = 16%

The body weight significantly affects FPG, serving as a measure of insulin resistance from pancreatic beta cells and forming a baseline for daily PPG levels. The combined influence of BW, FPG, and PPG contributes to approximately 60% of total A1C formation, with lifestyle choices such as diet and exercise accounting for the remaining 40%.

The ratio between carbohydrates (influencing all 8 pathophysiological pathways of diabetes) and steps (influencing 5 pathophysiological pathways of diabetes) is 1.6 (25% divided by 16%), indicating that diet plays a more substantial role than exercise in A1C formation and diabetes control. 

PDF