Abstract
Since 2012, the author has been collecting his body weight and finger-piercing glucose values each day. In addition, he accumulates medical conditions data including blood pressure (BP), heart rate (HR), and blood lipids along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on these collected big data, he further organized them into two main groups. The first group is medical conditions (MC) with 4 categories: weight, glucose, BP, and lipids. The second group is lifestyle details (LD) with 6 categories: food, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each of these 2 groups of MC and LD and their 10 categories. His calculated risk probability percentage of developing complicated diseases, such as cardiovascular disease (CVD) or cancers, are based on this above-described metabolism model. This metabolism index model (MI) includes the root causes of 6 lifestyle details and 4 disease symptoms including rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia. As we know, lifestyle details cause rudimentary chronic diseases which further influence more complicated diseases, such as heart problems (CVD), strokes, and others. However, on top of the lifestyle-induced chronic disease and complications, environmental factors, such as radiation, air and water pollution, food poison and pollution, toxic chemicals, and hormonal therapy, can also contribute to the causes of a variety of cancer. Some genetic conditions and lifetime unhealthy habits, such as smoking, alcohol consumption, illicit drug use would account for approximately 15% to 25% of the root cause for rudimentary chronic diseases, CVD, and cancer.
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