Longevity perspectives versus body weight, glucose, creatinine and risks of cancers and CVD using input data from 2013 to 2023 applying the viscoplastic energy model of GH-Method: mathphysical medicine (No. 945, VGT #345, 10/14-15/2023)

Abstract

Gerald C Hsu

The author recently came across an article published on October 9, 2023, which discussed the relationship between certain biomarkers and longevity in centenarians. The study found that people who live to be a hundred years old tend to have lower levels of glucose, creatinine, and uric acid starting from their sixties (see introduction section below).

The author, who regularly undergoes physical examinations that include a comprehensive assessment of his blood biomarkers, unfortunately does not have a record of his uric acid data. Therefore, for the purpose of this longevity study, he has chosen to focus on five influential factors: cardiovascular disease (CVD) risk, cancer risk, obesity (body weight, BW), glucose (type 2 diabetes, T2D), and creatinine.

To quantitatively analyze longevity using an estimated health age and its association with the aforementioned five influential factors, the author has employed the soace-domain viscoplastic energy model (SDVMT) for this investigation.

The "estimated health age" is calculated using the following formula:

Health Age = Real Biological Age*

(1 + ((MI - 0.735)/0.735)/2)

Here, "MI" refers to the daily "metabolism index" value, which combines four metabolic disorders and six lifestyle details, consisting of over 500 detailed elements.

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