## GH-METHODS

Math-Physical Medicine

### NO. 011

Relationship between weight and glucose Using GH-Method: math-physical medicine

Corresponding Author: Gerald C. Hsu, eclaireMD Foundation, USA.

Introduction
This paper investigates the relationship between weight and glucose, including fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) based on 13,480 data covering 2,245 days (1/1/2012 – 12/31/2018) from a diabetes patient’s 1.5 million data.

Methods
Health conditions prior to 2012 vs. after 2012:

• Weight – 210 lbs. vs. 166.9-193.8 lbs.
• BMI – 31 vs. 24.65-28.65
• Max. PPG – 380 mg/dL vs. 52-280 mg/dL
• Average PPG – 280 mg/dL vs. 126.5 mg/dL
• A1C – above 10.0% vs. 6.5%

This 8.5-year research project utilized advanced mathematics, finite element modeling, optical physics, wave theory, signal processing, energy theory, big data analytics, statistics, machine learning, and artificial intelligence.

Results
Among the five FPG’s influential factors, weight is the most dominant one, contributing ~85%. Weight and FPG have a high correlation of 84%. In spatial analysis, 94% of the total collected data is covered by a +/- 20% band around a “skewed line”. This “relationship band” stretched from point A (165, 98) to point B (185, 148) on a map with coordinates of x=weight and y=FPG.

###### Figure1: High correlation between FPG and Weight

However, among the PPG’s 19 influential factors, weight is not the dominating factor. Instead, the combined effect of carbs/sugar intake and post-meal exercise contributes ~81% of PPG formation. Weather and measurement time delay count for 14% and the other factors impact 5%. Weight and PPG have a low 21% correlation. In spatial analysis, 94% of the total collected data covers by a +/- 20% band centering around a “horizontal” PPG line of 118 mg/dL.

###### Figure 2: Low correlation between PPG and Weight / FPG

Conclusion
The results show that ~94% of the FPG data are directly related to weight according to a “fixed” slope. However, ~94% of PPG data are kept within a horizontal band ranging from 106 mg/dL to 130 mg/dL due to a combination of carbs/sugar intake and post-meal exercise – not from weight. It should be noted that T2D patients will most likely consume more carbs/sugar when they increase their weight via eating larger food portion.