Using the metabolism model of GH-Method: math-physical medicine to study geriatric concerns

It is obvious that endocrine-related chronic diseases are the major concerns. The author has been living with severe type 2 diabetes for 25 years and has suffered five cardiac episodes, renal complications, retinal problems, bladder infections, foot ulcer, and thyroid issues. Therefore, he started to self-study diabetes since 2010. In 2014, he utilized his learned medical knowledge of metabolic disorders with finite-element modeling technique of structural and mechanical engineering and advanced mathematics to develop a mathematical metabolism model. This model contains 10 categories (Figure 2: body output: weight, glucose, blood pressure, lipid; body input: food, exercise, sleep, stress, water drinking, routine life patterns) and ~500 detailed elements to calculate two dynamic variables, metabolism index (MI) and general health status unit (GHSU). Based on continuous data input, an APP on the smartphone can show both MI and GHSU continuously and dynamically on the screen to inform patients about their general health status, especially endocrine-related chronic disease conditions through body outputs (Figure 3). By using his research results and developed tool, his overall chronic disease conditions and complications, caused by his elevated glucose and HbA1C, are all under control (Figure 4).