A summarized report on relationships of six mortality disease risks and three glycemic intensities of type 2 diabetes using viscoplastic energy model of GH- Method: math- physical medicine
Abstract
Gerald C Hsu
Numerous medical research papers have established the interconnections of diabetes control and six mortality diseases, including CVD, CKD, Cancer, AD, PD, and DN. The general trajectory starts from unhealthy diet and a sedentary lifestyle, leading to the development of multiple metabolic disorders especially diabetes in addition to obesity, hypertension, and dyslipidemia. Ultimately, these combined metabolic disorders eventually progress into different mortality diseases, like aforementioned six health issues. This article compiles findings from the author's six previously written papers, specifically focusing on the relationships between those six mortality diseases and three diabetic glycemic intensities (GI), TAR-GI (above 180 mg/dL), TBR-GI (below 70 mg/dL), TIR-GI (within the range from 70 to 180mg/dL). Here, the author introduces a novel concept known as "glycemic intensities (GI)" as new biomarkers to examine various diabetic complications.
These GI values are calculated as the averaged glucose levels multiplying with their frequency of occurrence. GI values can shed light on the impact of diabetes glucose management on the development of aforementioned six mortality diseases.
By analyzing data spanning from 8/1/2018 to 12/2/2023, the author synthesizes more than 500,000 collected data during the past 7 years and explores insights from his six previously written papers to produce this summarized paper. This article focuses on the findings from using the research method of space-domain Viscoplastic energy method (SD- VMT).
In summary, his averaged risks over the past 7 years have shown the following order in comparison with his actual personal history:
CKD = 68% (during 2009-2013)
CVD = 54% (during 1995-2004)
DN = 45% (during 2013-2015)
AD = 45% (no sign yet)
PD = 40% (no sign yet) Cancers = 39% (no sign yet)
The space-domain viscoplastic medicine energy (SD-VMT) analysis reveals hidden relationships and averaged energy contributions as follows:
Energy from TAR = 5.6% Energy from TBR = 1.9% Energy from TIR = 92.5%
TAR / TBR = 5.6 / 1.9 = 2.95