A Study of Postprandial Plasma Glucose Changes, Including Glucose Fluctuations, among three Time Periods Using GH-Method: Math-Physical Medicine (No. 439)

Abstract

Gerald C Hsu

The author uses a continuous glucose monitoring sensor device (CGMS) to collect his glucose data at 15-minute time intervals from 5/5/2018 to 4/21/2021 which contains 1,074 breakfasts. He selects three similar time periods with equal number of breakfasts of 164 for each period. The first period is Case A from 11/8/2018 to 4/20/2019, and without any fasting days. The second period is Case B from 11/8/2019 to 4/20/2020, and also without any fasting days. The third period is Case C from 11/8/2020 to 4/20/2021, but with 115 fasting days (70% of intermittent fasting, drinking tea only as his breakfast). The first two non-fasting periods, Case A and Case B have normal breakfasts. This specific study includes two investigations. The first part examines the changes on his postprandial plasma glucoses (PPG). The second part analyzes PPG wave fluctuations i.e., glycemic variability (GV) or glucose fluctuations (GF). The objective of this study is to explore any significant differences on his PPG magnitude, and his GF between Case C versus both Case A and Case B. The key conclusion is that the Case C (with 70% of IF influences) has indeed shown significant differences versus those two selected non-IF Case A and Case B in regard to breakfast PPG, daily PPG, daily glucose (eAG), and body weight. Even the averaged breakfast glucose fluctuation of Case C (11 mg/dL) is significantly less than those two Non-IF cases (19 mg/dL for Case B and 27 mg/dL for Case A). However, in terms of Case C’s daily glucose GF (~95 mg/dL) and PPG GF (~44 mg/ dL), the Case C has demonstrated comparable GF values as both Case A and Case B. His previous conclusion from his paper No. 438 (Reference 33) was that the IF case did not show any significant differences from the two selected non-IF cases in regard to PPG, daily glucose, and body weight. But now inserting above findings from this particular study’s paper No. 439, his combined and modified conclusions are that the If effect on our body, both Glucose, Weight, and internal organ impact, is a “longer-term” concerning factor. We ought to be ultra-careful about drawing any conclusion quickly from a short time period with a limited amount of data. In addition, the overall lifestyles has a direct impact on medical conditions which out to be included in the IF study as well. For example, in comparison, Case A has the worst outcomes and Case C has the best outcomes while Case B is in the middle. This observation can be verified through his carbs/sugar intake amounts and body weights.

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