Using Quantitative Medicine to Control Type 2 Diabetes 

Weight & Diabetes

Section 3: Weight & Diabetes

Date: 10/22/2016 – 10/23/2016

​It is well known how difficult it is to reduce body weight and maintain for an extended period of time.  In 2000, my average weight was greater than 200 lbs., in 2010 it was 194 lbs., and in 2017 it was 171 lbs.  From 2013 to 2014, my weight fluctuated around 180 lbs. due to my busy travel schedule and not managing my lifestyle and health well.  After developing the metabolism model in 2014, I started to use this tool to manage my overall lifestyle along with reducing the amount of long-distance flying trips.  Combined with my newly developed weight prediction model on April 11, 2015, I have achieved significant weight reduction.  See Figure 3-1 of weight reduction.  Reducing my waistline was a much tougher problem to address than weight reduction.  From 2000 to 2014, my waistline ranged from 42 to 44 inches.  Only until mid-2015, when I started to watch my overall metabolism and use the weight prediction tool, I finally achieved my waistline reduction goal of 32 inches.  See Figure 3-2 for waistline reduction.

Figure 3-1: Weight (1/1/2012 – 7/20/2017)
Figure 3-2: Waistline (1/1/2012 – 7/21/2017)

There are many factors that affect body weight; however, diet and exercise are the two primary components that people can control.  While types and “quality” of food have a strong correlation with types of chronic diseases (to be discussed in future sections), the “quantity” of food has a strong correlation with weight as indicated in Figures 3-3.  Please note that during the period of June 1, 2015 through July 21, 2017, my average weight has been around 174 lbs. while my food and meal quantity was around 89% of my normal portions.

Now, let us examine the correlation between weight and glucose.  Other than genetic factors, being overweight or obese is the main cause of Type 2 Diabetes (T2D). During my analysis of weight vs. glucose, when I plot out my weight >180 lbs. and daily average glucose >160 mg/dL, I have identified a strong correlation between these two factors.  See Figure 3-4 below.  My tool’s capability on predicting post-meal glucose value before my first bite of the meal is crucial for controlling my PPG (Postprandial Plasma Glucose) level.

Figure 3-3: Weight and Food & Meal Quantity (4/11/2015 – 7/21/2017)
Figure 3-4: Weight Over 180 lbs. & Daily Average Glucose Over 160 mg/dL

A person’s weight is constantly changing throughout the day and evening due to food and exercise as the most important factors.  During the day time, food consumption increases weight and exercise burns off calories. Throughout the night, the processes of vaporization, urination, and bowel movement affect body weight reduction. During the past two years, my average weight gain between bedtime and the morning of the same day is between 2.5 to 2.8 lbs.  My weight reduction between bedtime and the next morning is also between 2.5 to 2.8 lbs.  That is why I can maintain a constant weight around 173 lbs. (+/- 5 lbs.) over the past 2 years.  My tool’s functionality of predicting the next morning’s weight is a crucial component of controlling my weight; in turn, my weight control is a crucial part of controlling my diabetic condition.  Figures 3-5 shows two kinds of weight changes.

Figure 3-5: Weight Gain between morning and bedtime of the same day Weight Loss between previous day’s bedtime and this day’s morning