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Advances in Theoretical & Computational Physics(ATCP)

ISSN: 2639-0108 | DOI: 10.33140/ATCP

Impact Factor: 2.62

Relationships of Alzheimer’s Disease Risks and Three Glycemic Intensities of Type 2 Diabetes Using Viscoplastic Energy Model of Ghmethod: Math-Physical Medicine

Abstract

Gerald C Hsu

Diabetes is linked to Alzheimer's diseases ( AD) in up to 81% of cases, and similarly, 65% of Parkinson's disease patients may have diabetes. A study of 10,095 individuals (67.3% male, aged 35-55 during 1985-1988) found 1,710 cases of diabetes (17%) and 639 cases of dementia (6%) over 31.7 years. The American Diabetes Association categorizes glucose levels as: Hyperglycemia TAR (glucose above 180 mg/dL), Hypoglycemic TBR (glucose below 70 mg/dL), Normal Glycemic TIR (glucose between 70 and 180 mg/dL).

This paper explores the author’s Alzheimer's risk related to his type 2 diabetes conditions, introducing the “glycemic intensities (GI)” as new biomarkers. The GI values, defined as average glucose levels times their occurrence frequency, may reveal the impact of diabetes management on developing diseases like Alzheimer's dementia. This study analyzes the author's Alzheimer's risk through three GI measures: TAR-GI (TAR), TBR-GI (TBR), and TIR-GI (TIR), using personal data collected from 8/1/2018 to 12/2/2023.

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