Abstract

The author became interested in geriatrics in early 2019, especially in regard to longevity. During the period of 2010-2013, he self-studied metabolism, endocrinology, chronic diseases, and food nutrition. In 2014, he applied topology concept and engineering finite element method to develop a mathematical model of metabolism. His collected big data of ~2 million on metabolism, chronic diseases, and lifestyle details allowed him to extend his research work into the area of longevity. In January 2020, he published his first geriatric paper, No. 223, regarding effective health age. Back in July 2010, he developed a simplified APP (application software program) on the iPhone for estimating a patients’ effective health age (Health Age) with or without chronic diseases to compare against the biological real age (Real Age). He then published his findings in paper, No. 292, where the data were utilized from four key medical conditions based on the health examination reports of 4 biomarkers weight, glucose, blood pressure, and lipids; along with the input by the patient of six lifestyle details involving diet, water intake, exercise, sleep, stress, and daily life routines. The APP can instantly calculate and show the metabolism index (MI) score and Health Age on the iPhone. Furthermore, he published two papers, No. 313 and No. 323, regarding the amplification factor used in the equation for effective health age.

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