A simple formula based on postprandial plasma glucose prediction using 5,640 meals data via GH-Method: math-physical medicine (No. 301)

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Abstract

This article is based on the continuation of the author’s research work, a simple and practical, yet highly accurate postprandial plasma glucose (PPG) prediction formula for type 2 diabetes (T2D) patients. His methodology is the developed GH-Method: math-physical medicine (MPM) which has been utilized repeatedly in the past decade. The predicted PPG formula-based on the status of fasting plasma glucose (FPG), carbs/sugar intake amount, and postmeal walking steps are as follows: Predicted PPG = 0.97 * FPG + (carbs/sugar grams * 1.8) - (post-meal walking steps in thousand * 5) The conclusive results have the order of values m1 / m2 /m3 / prediction accuracy %. Case A: 1.8 / 5.0 / 0.97 / 99.8% Case B: 2.0 / 5.0 / 0.945 / 99.9% Case C: 2.2 / 5.0 / 0.92 / 99.9% Exercise is important, contributing ~3% higher than food, is easily achieved compared to the required knowledge of diet. As a result, the author spent four years to study food nutrition. Most T2D patients are seniors; therefore, he suggests that walking is the best form of exercise. However, the most difficult part of exercise is the behavior psychology related to the issue of “discipline and persistence”. T2D patients need to walk between 2,000 to 4,000 steps after each meal. The author walks an average of 4,300 steps after each meal. On the other hand, diet (carbs/sugar amount and nutritional balance) requires much more and deeper knowledge of food nutrition in order to control diabetes. Therefore, the author developed an AI-based tool to assist T2D patients. For non-tech patients, the following simple guidelines can assist with meal intake: Starchy food: Eat an amount half of your fist or hand at most Colorful vegetables: Eat an amount limited to one fist or hand. Green vegetables: Eat an amount limited to 2.5 fists or hands. Please note: you must combine two types of vegetable together in order to get the total intake limitation. The author highly recommends the patients to measure their FPG at least several times a quarter, in order to get a quarterly average FPG value. The other three PPG values can then utilize the formula-based predicted PPG to control their overall diabetes conditions. The described method mentioned above in regard to the predicted PPG formula along with the post-meal walking exercise and carbs/sugar intake amount can help patients control their diabetes without painful and troublesome fingerpiercing glucose measurements. The author has been measuring his glucoses for 8.5 years (3,126 days) with fingerpiercing glucose testing combined with his 10-years of diabetes research work. He hopes this article can provide useful guidelines to other diabetes patients to take back their lives from this dreadful chronic disease.
基于5640餐数据的餐后血糖预测的简单公式-方法:数学-物理医学(No. 301)
本文是在延续作者研究工作的基础上,提出一种简单实用、准确度高的2型糖尿病(T2D)患者餐后血糖(PPG)预测公式。他的方法是发展起来的gh方法:数学物理医学(MPM),在过去的十年中被反复使用。基于空腹血糖(FPG)、碳水化合物/糖摄入量、餐后步行步数的预测PPG公式为:预测PPG= 0.97 * FPG +(碳水化合物/糖克数* 1.8)-(餐后步行步数以千计* 5)。结论的数量级为m1 / m2 /m3 /预测准确度%。案例A: 1.8 / 5.0 / 0.97 / 99.8%案例B: 2.0 / 5.0 / 0.945 / 99.9%案例C: 2.2 / 5.0 / 0.92 / 99.9%案例C: 2.2 / 5.0 / 0.92 / 99.9%运动很重要,比食物贡献高~3%,与所需的饮食知识相比,很容易实现。因此,作者花了四年时间研究食品营养。t2dm患者以老年人居多;因此,他建议步行是最好的锻炼方式。然而,运动中最困难的部分是与“纪律和坚持”问题相关的行为心理学。糖尿病患者每顿饭后需要走2000到4000步。作者每顿饭后平均步行4300步。另一方面,饮食(碳水化合物/糖的量和营养平衡)需要更多和更深入的食物营养知识,以控制糖尿病。因此,作者开发了一种基于人工智能的工具来辅助T2D患者。对于不懂科技的患者,以下简单的指导可以帮助他们进餐:淀粉类食物:最多吃拳头或手的一半量。绿色蔬菜:吃的量限制在2.5拳头或双手。请注意:您必须将两种蔬菜组合在一起才能获得总摄入量限制。作者强烈建议患者每季度至少测量几次FPG,以获得每季度的平均FPG值。其他三个PPG值可以利用基于公式的预测PPG来控制他们的整体糖尿病状况。上述关于预测PPG公式的方法以及餐后步行运动和碳水化合物/糖摄入量可以帮助患者控制糖尿病,而无需痛苦和麻烦的手指穿刺血糖测量。作者在过去的8.5年(3126天)里,结合10年的糖尿病研究工作,进行了手指穿刺血糖检测。他希望这篇文章可以为其他糖尿病患者提供有用的指导,帮助他们从这种可怕的慢性疾病中恢复生活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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