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A lifestyle medicine model for family medical practices based on 9-years of clinical data including food, weight, glucose, carbs/sugar, and walking using linear elastic glucose theory and GH-Method: math-physical medicine, Part 14 (No. 367)


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Abstract

This article is aimed at assisting family medical practices for obesity and type 2 diabetes (T2D) control using the lifestyle medicine model, which is also the Part 14 of his recently developed linear elastic glucose theory (LEGT).

More than 33 million Americans, about 1 in 10, have diabetes, and approximately 90% to 95% of them have type 2 diabetes (T2D), where 86% also have problems with being overweight or obese. In other words, 7.7% to 8.2 % of the US population or 25 to 27 million Americans have issues with weight, T2D conditions and multiple complications.

The author is a patient who suffered with being overweight/obesity and T2D for over 25 years. He faced many complications from 2002 to 2010. Over the past 11 years, he dedicated himself to research diabetes and its complications. In this article, he describes the simple and straightforward yet highly precise method to control his chronic disease conditions, including weight and glucose. The results of his research provide proof through a big data analytics of his collected input data through the continuous research and implementation efforts during the past 9 years. His findings have finally achieved satisfactory health results with high mathematical precision on his various biomarker predictions.

He named this the lifestyle medicine” approach. The purpose of writing this article is to offer a simple but practical approach to patients with chronic diseases like him self.

In summary, the author describes his straightforward implementation model in the following four steps:

  1. By reducing his weight from 189 lb. to 170 lb. (-19 lb. or -10% in total weight), cutting off about 50% of his original over-eating food portion size (from 130% in 2012 down to 66% in 2020, which is -7% of his annual food portion reduction from original amount, or -6% averaged annual reduction continuously). This food portion reduction will automatically reduce the intake amount of fat and carbohydrates. Although he strictly controls his sugar, and sodium amounts, he maintains a sufficient intake amount of high-quality protein.
  2. When his weight dropped from 189 lbs. to 170 lbs. (-10% or -1.1% per year), his FPG then decreased from 140 mg/dL to 102 mg/dL (-38 mg/dL or -27%, or -3% per year) accordingly. Weight and FPG are highly correlated (93%).
  3. When his FPG dropped, his PPG also reduced from 128 mg/dL to 108 mg/dL (-20 mg/dL or -16%, or -1.7% per year), providing he limits his carb/sugar intake amount below 15 grams per meal and walking at least 30 minutes after each meal. He also increased his post-meal walking from 500 steps to 4,400 steps (+433 post-meal steps per year or +87% per year in comparison with his walking steps in 2012).
  4. He wants to re-emphasize the importance of diet and exercise. Normally, reduction on food and meal portion will automatically assist on limiting the carbs/sugar intake amount. However, patients should always watch out for the overall nutritional balance. For the author, his carbs/sugar intake amount has been cut down from 20 grams to 12.5 grams per meal (-7.5 grams or -38%, or -4% per year) as a result of his food portion reduction from 130% to 66% (-64% of food portion or -7% per year).

This article merely provides a clinical proof using a quantitative and precision approach. These mathematical and biomedical accomplishments are based on careful physical phenomena observations and related biomedical interpretation and proof process. This particular research project of food nutrition and biomedicine has utilized his developed GH-Method: math-physical medicine in which 366 medical papers have been published. The above four statements are simple to understand; therefore, there is no need to learn fancy theories, complex formulas or equations. No need to take special seminars or attend college courses, take high dosages of medications or supplements, or go through any unnecessary surgeries. There are straight-line relationships existing among food, exercise, weight, and glucose that follow a simple and straight-line route from food portion control to weight reduction and arrive at glucose stability for both FPG and PPG.

 

Keywords

clinical proof, food, exercise, weight, biomarker predictions, math-physical medicine, foot ulcer, diabetic retinopathy, bladder infections, hypothyroidism, postprandial plasma glucose, coefficient calculations, influential factors, post-meal walking steps, conclusive phenomena

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