Abstract：
OBJECTIVE: Maintaining plasma glucose homeostasis is vital for mammalian survival, but the masticatory function, which influences glucose regulation, has, to our knowledge, been overlooked.
METHODS: In this study, we investigated the relationship between the glycemic response curve and chewing performance in a group of 8 individuals who consumed 80 g of apple. A device called \"Chewing\" utilizing electromyographic (EMG) technology quantitatively assesses chewing pattern, while glycemic response is analyzed using continuous glucose monitoring. We assessed chewing pattern characterizing chewing time (tchew), number of bites (nchew), work (w), power (wr), and chewing cycles (tcyc). Moreover, we measured the principal features of the glycemic response curve, including the area under the curve (α) and the mean time to reach the glycemic peak (tmean). We used linear regression models to examine the correlations between these variables.
RESULTS: tchew, nchew, and wr were correlated with α (R2 = 0.44, P < 0.05 for tchew and nchew, P < 0.001 for wr), and tmean was correlated with tchew (R2 = 0.25, P < 0.05). These findings suggest that increasing chewing time and power, while reducing the number of chews, resulted in a wider glycemic curve and an earlier attainment of the glycemic peak.
CONCLUSIONS: These results emphasize the influence of proper chewing techniques on blood sugar levels. Implementing correct chewing habits could serve as an additional approach to managing the glycemic curve, particularly for individuals with diabetes.
METHODS: In this study, we investigated the relationship between the glycemic response curve and chewing performance in a group of 8 individuals who consumed 80 g of apple. A device called \"Chewing\" utilizing electromyographic (EMG) technology quantitatively assesses chewing pattern, while glycemic response is analyzed using continuous glucose monitoring. We assessed chewing pattern characterizing chewing time (tchew), number of bites (nchew), work (w), power (wr), and chewing cycles (tcyc). Moreover, we measured the principal features of the glycemic response curve, including the area under the curve (α) and the mean time to reach the glycemic peak (tmean). We used linear regression models to examine the correlations between these variables.
RESULTS: tchew, nchew, and wr were correlated with α (R2 = 0.44, P < 0.05 for tchew and nchew, P < 0.001 for wr), and tmean was correlated with tchew (R2 = 0.25, P < 0.05). These findings suggest that increasing chewing time and power, while reducing the number of chews, resulted in a wider glycemic curve and an earlier attainment of the glycemic peak.
CONCLUSIONS: These results emphasize the influence of proper chewing techniques on blood sugar levels. Implementing correct chewing habits could serve as an additional approach to managing the glycemic curve, particularly for individuals with diabetes.
摘要：
目的：维持血浆葡萄糖稳态对哺乳动物生存至关重要，但是咀嚼功能，影响葡萄糖调节，has,根据我们的知识，被忽视了。
方法：在本研究中，我们调查了8名食用80克苹果的人的血糖反应曲线与咀嚼性能之间的关系。一种名为“咀嚼”的装置利用肌电图（EMG）技术定量评估咀嚼模式，而使用连续血糖监测分析血糖反应。我们评估了表征咀嚼时间的咀嚼模式（tchew），咬伤次数(咬伤),工作（w），功率(wr),和咀嚼周期（tcyc）。此外，我们测量了血糖反应曲线的主要特征，包括曲线下面积(α)和达到血糖峰值的平均时间(tmean)。我们使用线性回归模型来检验这些变量之间的相关性。
结果：tchew，nchew,和wr与α相关(R2=0.44，P<0.05，wr的P<0.001)，tmean与咀嚼相关（R2=0.25，P<0.05）。这些发现表明，增加咀嚼时间和力量，在减少咀嚼次数的同时，导致更宽的血糖曲线和更早地达到血糖峰值。
结论：这些结果强调了正确的咀嚼技术对血糖水平的影响。实施正确的咀嚼习惯可以作为管理血糖曲线的另一种方法，特别是对于糖尿病患者。
方法：在本研究中，我们调查了8名食用80克苹果的人的血糖反应曲线与咀嚼性能之间的关系。一种名为“咀嚼”的装置利用肌电图（EMG）技术定量评估咀嚼模式，而使用连续血糖监测分析血糖反应。我们评估了表征咀嚼时间的咀嚼模式（tchew），咬伤次数(咬伤),工作（w），功率(wr),和咀嚼周期（tcyc）。此外，我们测量了血糖反应曲线的主要特征，包括曲线下面积(α)和达到血糖峰值的平均时间(tmean)。我们使用线性回归模型来检验这些变量之间的相关性。
结果：tchew，nchew,和wr与α相关(R2=0.44，P<0.05，wr的P<0.001)，tmean与咀嚼相关（R2=0.25，P<0.05）。这些发现表明，增加咀嚼时间和力量，在减少咀嚼次数的同时，导致更宽的血糖曲线和更早地达到血糖峰值。
结论：这些结果强调了正确的咀嚼技术对血糖水平的影响。实施正确的咀嚼习惯可以作为管理血糖曲线的另一种方法，特别是对于糖尿病患者。
