Relationships of Visceral Fat Ratio and Five Mortality Diseases Using Viscoplastic Energy Model of GH-Method: Math-Physical Medicine (no. 997, vmt #395, 12/15/2023)

Abstract

Gerald C. Hsu

A cross-sectional study was conducted over a one-year period in Western Maharashtra, India, involving 215 healthy adults, with 73% males and 27% females. Among these data samples, 42% of males had a waist-to-hip ratio (WHR) >0.9, and 56% of females had a WHR >0.8. A strong correlation was found between visceral fat area (VFA) and waist-tohip ratio (WHR), with coefficients of 93.6% in males and 92.0% in females. Furthermore, the author has been tracking his body weight (BW) daily since 2010, starting at 183 lbs (83 kg) and reducing to 168 lbs (76 kg) by 2023, and his waistline (WL) quarterly from 2013, beginning at 43 inches (109 cm) and reducing to 34 inches (86 cm) by 2023. Starting on August 11, 2023, he also initiated daily tracking of his visceral fat ratio (VFR), which averaged 16% in 2013, aligning with his average waist-tohip ratio (WHR) of 0.86. He then used this combined dataset to retrospectively estimate his VFR for the years 2013 to 2022. In this particular study, the spacedomain viscoplastic medicine energy theory (SD-VMT) was used to analyze the dynamic relationships between the author’s annual visceral fat rate (VFR) and probabilities of having five mortality diseases, cardiovascular diseases (CVD), chronic kidney diseases (CKD), terrain cancers, Alzheimer’s disease (AD), and Parkinson’s disease (PD).

Background Visceral Fat (VF) is the underlying culprit for cardiovascular diseases, type2 diabetes, breast cancer, etc. VF can be estimated at present only by using expensive instruments as Bio Impedance Analyzer (BIA), DEXA scanner, etc. Measurement of Waist-Hip Ratio (WHR) can be used as a proxy for VF. Hence, the present study was done to assess the role of WHR as appropriate technology for assessment of VF. The aim of this study was to find correlation of Visceral Fat Area (VFA) with (WHR), Waist Circumference (WC) and Body Mass Index (BMI) in young healthy adults.

Methods It was a descriptive cross-sectional study conducted on 215 healthy adults over one year in Western Maharashtra. Biospace 720 was used to assess VF. Data was analyzed by using software SPSS version 20.0. In body 720 was used to assess VF of subjects.

Results Majority 155 (73%) were males and 57 (27%) were females. Nearly half (42% of males, 49% of females) had VFA above cut off value (i.e. 100 cm2) and 42% of males had WHR >0.9 and 56% of females had WHR >0.8. We found a very strong correlation between VFA and WHR (r 0.936, p < 0.05) among males and females (r = 0.920, p < 0.05) and correlation between WC and BMI with VFA (r = 0.739, r = 0.758) for males, (r = 0.774, r = 0.605) for females was modest.

Conclusion There is a strong correlation between VF and WHR. Measurement of WHR is simple, handy, and inexpensive tool which can be used as a surrogate to measure VF.”

PDF