Lin Yi-Hsuan, Huang Yu-Yao, Chen Hsin-Yun, Hsieh Sheng-Hwu, Sun Jui-Hung, Chen Szu-Tah, Lin Chia-Hung
Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan.
Department of Medical Nutrition Therapy, Chang Gung Memorial Hospital, Linkou, Taiwan.
Diabetes Ther. 2019 Dec;10(6):2289-2304. doi: 10.1007/s13300-019-00707-x. Epub 2019 Oct 28.
The aim of this study was to objectively analyze the correlation between dietary components and blood glucose variation by means of continuous glucose monitoring (CGM).
Patients with type 1 diabetes mellitus (T1DM) who received CGM to manage their blood glucose levels were enrolled into the study, and the components of their total caloric intake were analyzed. Glycemic variation parameters were calculated, and dietary components, including percentages of carbohydrate, protein and fat in the total dietary intake, were analyzed by a dietitian. The interaction between parameters of glycemic variability and dietary components was analyzed.
Sixty-one patients with T1DM (33 females, 28 males) were enrolled. The mean age of the participants was 34.7 years, and the average duration of diabetes was 14 years. Glycated hemoglobin before CGM was 8.54%. Participants with a carbohydrate intake that accounted for < 50% of their total caloric intake had a longer DM duration and a higher protein and fat intake than did those with a carbohydrate intake that accounted for ≥ 50% of total caloric intake, but there was no between-group difference in total caloric intake per day. The group with a carbohydrate intake that accounted for < 50% of their total caloric intake also had lower nocturnal continuous overlapping net glycemic action (CONGA) 1, - 2 and - 4 values. The percentage of protein intake had a slightly negative correlation with mean amplitude of glycemic excursions (MAGE) (r = - 0.286, p < 0.05) and a moderately negative correlation with coefficient of variation (CV) (r = 0.289, p < 0.05). One additional percentage of protein calories of total calories per day decreased the MAGE to 4.25 mg/dL and CV to 0.012 (p < 0.05). The optimal dietary protein percentage for MAGE < 140 mg/dL was 15.13%. The performance of predictive models revealed the beneficial effect of adequate carbohydrate intake on glucose variation when combined with protein consumption.
Adequate carbohydrate consumption-but not more than half the daily total calories-combined with protein calories that amount to approximately 15% of the daily caloric intake is important for glucose stability and beneficial for patients with T1DM.
本研究的目的是通过持续葡萄糖监测(CGM)客观分析饮食成分与血糖变化之间的相关性。
纳入接受CGM以管理血糖水平的1型糖尿病(T1DM)患者,并分析其总热量摄入的成分。计算血糖变异参数,由营养师分析饮食成分,包括总饮食摄入中碳水化合物、蛋白质和脂肪的百分比。分析血糖变异性参数与饮食成分之间的相互作用。
纳入61例T1DM患者(33例女性,28例男性)。参与者的平均年龄为34.7岁,糖尿病平均病程为14年。CGM前糖化血红蛋白为8.54%。碳水化合物摄入量占总热量摄入<50%的参与者比碳水化合物摄入量占总热量摄入≥50%的参与者糖尿病病程更长,蛋白质和脂肪摄入量更高,但两组之间每日总热量摄入无差异。碳水化合物摄入量占总热量摄入<50%的组夜间连续重叠净血糖作用(CONGA)1、-2和-4值也较低。蛋白质摄入量百分比与血糖波动平均幅度(MAGE)呈轻度负相关(r = -0.286,p < 0.05),与变异系数(CV)呈中度负相关(r = -0.289,p < 0.05)。每天总热量中蛋白质热量每增加1个百分点,MAGE降低至4.25mg/dL,CV降低至0.012(p < 0.05)。MAGE<140mg/dL时的最佳饮食蛋白质百分比为15.13%。预测模型的表现显示,与蛋白质摄入相结合时,充足的碳水化合物摄入对血糖变化具有有益作用。
充足的碳水化合物摄入——但不超过每日总热量的一半——与约占每日热量摄入15%的蛋白质热量相结合,对血糖稳定性很重要,对T1DM患者有益。