Relationships of Parkinson’s Disease Risks and Five Inputs of Bmi, Whr, Eag, Diet and Exercise Using Viscoplastic Energy Model of Gh-Method: Mathphysical Medicine

Abstract

Gerald C Hsu

Diabetes is believed to affect up to 81% of those with Alzheimer's diseases (AD). Additionally, 50% to 80% (averaged 65%) of Parkinson's disease (PD) patients may have diabetes. In a comprehensive metaanalysis based on 7 observational cohort studies analyzing the impact of diabetes on the risk of PD in over 1,761,000 individuals. It is noted that, compared to non-diabetic patients, patients with diabetes were associated with a 38% increase in the risk of developing PD, with an increased risk of 50% and 40% in female and in male, respectively.

From a pathophysiological standpoint, Parkinson’s disease is intricately linked to metabolic disorders, particularly obesity and type 2 diabetes. Body weight, assessed through BMI and WHR, along with blood glucose levels, directly correlates with both diet and exercise.

Hence, the author explores his estimated Parkinson’s disease (PD) risks associated with five inputs: BMI, WHR, eAG, diet (food portion and meal quality), and walking steps, based on personal data collected between 1/1/2013 and 11/30/2023.

The author, having experienced complications from metabolic disorders, has been motivated to conduct numerous studies exploring the connection between mortality diseases and their key inputs. Notably, the waist-to-hip ratio (WHR), reflective of visceral fat, is introduced as a new variable in this analysis—an aspect seldom considered in the author's prior studies.

In summary, a statistical correlation analysis unveils robust correlations (84% to 97%) between the author's PD risk and four inputs, with a much lower 55% correlation with walking steps. This lower correlation is attributed to variations in his walking steps, ranging from 7.5k in 2013, increasing to 18.5k in 2018, later reducing to 12.7k in 2023 due to agerelated discomfort from excessive walking. Applying the space-domain viscoplastic energy (SD-VMT) method, the author reveals hidden relationships and dynamics (i.e.energies) between these 5 inputs and annual PD risk output:

• - BMI Energy: 24%
• - WHR Energy: 22%
• - eAG Energy: 23%
• - Diet Energy: 16%
• - Steps Energy: 16%