Using Regression Analysis Model to Explore the Hidden Linkage between the CGM Sensor Measured Fasting Plasma Glucose from Sleeping Hours and Body Temperature in Early Morning (both are 90-Days Moving Average Values) over a One-Year Period from 11/21/2020 to 11/21/2021 for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 553)

Abstract

Gerald C Hsu

The author started to measure his finger-piercing fasting plasma glucose (FPG) at his wakeup moment in the morning starting on 1/1/2012. In addition, he began to measure his FPG using a continuous glucose monitoring (CGM) device at each 15-minute time interval since 5/8/2018. His sensor uses the average glucose value between 12:00 midnight and 07:00 AM for a total of 29 glucose values. Incidentally, the difference between his average finger FPG and average sensor FPG is a mere 1%. During the period of 2015-2017, he investigated the correlation between his postprandial plasma glucose (PPG) and its 19 influential factors. He identified that both warmer or colder ambient weather temperature affects PPG level. However, the role of the ambient weather temperature is not like the carbs/sugar intake amount or the post-meal exercise that serve as the primary influential factors of PPG. The temperature only provides a secondary and weaker influential factor of the PPG formation.

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