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O c t o b e r 1 5 - 1 6 , 2 0 1 8 | T o k y o , J a p a n
Obesity Congress 2018, Diabetes Congress 2018 & Vaccines Congress 2018 Biomedical Research | ISSN: 0976-1683| Volume 29
2nd WORLD OBESITY CONGRESS
2nd WORLD VACCINES AND IMMUNOLOGY CONGRESS
&
&
DIABETES AND ENDOCRINOLOGY
International Conference on
Joint Event on
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
YEARS
Gerald C Hsu, Biomed Res 2018, Volume 29 | DOI: 10.4066/biomedicalresearch-C5-013
RELATIONSHIP BETWEEN WEIGHT AND
GLUCOSE USING MATH-PHYSICAL
MEDICINE
Gerald C Hsu
EclaireMD Foundation, USA
Background & Aim: This paper investigates the relationship between weight
and glucose based on 9,855 data covering three years or 1,095 days (9/4/2015-
9/3/ 2018) of one type 2 diabetes (T2D) patient’s data.
Method: Health conditions comparison (2012 vs. 2018): weight: 210 lbs. vs.
170 lbs. BMI: 31 vs. 24.7 daily postprandial glucose (PPG): 280 mg/dL vs.
115 mg/dL A1C: 10.0% vs. 6.5%. This diabetes research project of eight years
and 20,000 hours combined utilized advanced mathematics, finite element
modeling, signal processing, optical physics, big data analytics, statistics, and
artificial intelligence.
Results: Among the five fasting plasma glucose’s (FPG) influential factors,
weight is the most dominant one, contributing ~85%. Weight and FPG have
a high correlation of 68% -82%. In spatial analysis, 94% of the total collect-
ed data is covered by a +/- 20% band around a skewed line. This relationship
band stretched from point A (24.6, 100) to point B (26.6, 140) on a map with
coordinates of x=BMI and y=glucose. However, among the PPG’s 19 influen-
tial factors, weight is not the dominating factor. Instead, the combined effect
of carbs/sugar intake and post-meal exercise contributes 79% of PPG forma-
tion. Weather temperature counts for ~10% and the other factors impact 11%.
Weight and PPG have a low correlation (between 3% and 36%). In spatial anal-
ysis, 95% of the total collected data covers by a +/- 20% band centering around
a horizontal PPG line of 118 mg/dL.
Conclusion: The results show that 94% of FPG data are directly related to
weight according to a fixed slope. However, 95% of PPG data are kept within a
horizontal range from 94 mg/dL to 142 mg/dL due to carbs/sugar intake and
post-meal exercise, but not by weight.
Gerald C Hsu has received an honorary PhD in Mathe-
matics and majored in engineering at MIT. He attend-
ed different universities over 17 years and studied sev-
en academic disciplines. He has spent 20,000 hours in
T2D research. First, he studied six metabolic diseases
and food nutrition during 2010-2013, then conducted
research during 2014-2018.
BIOGRAPHY