Abstract

Since 2012, the author has collected his finger-piercing glucoses 4 times (1 FPG and 3 PPG) each day. Over the past 10+ years, he has collected a total of 14,724 glucose data from 3,681 days. He takes the daily average value from the 4 glucose data as his estimated daily glucose (eAG) value. As we know, diabetes (continuous high glucose level) causes many complications, including but not limited to cardiovascular disease (CVD) or chronic heart disease (CHD). In this article, the author applies the viscoelasticity and viscoplasticity theories to conduct his research to discover some hidden behavior or relationship between the CVD risk probability (outcomes or strain) and eAG values (inputs or stress). The hidden behaviors and relationships between the two biomarkers, eAG values and CVD risks, are time-dependent, which are changing from time to time.

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