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宏量营养素摄入和进餐次数对 1 型糖尿病青少年血糖控制的影响:1 年随访研究

Effects of Macronutrient Intake and Number of Meals on Glycemic Outcomes Over 1 Year in Youth with Type 1 Diabetes.

机构信息

Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA.

Institute for Nursing and Interprofessional Research, Children's Hospital Los Angeles, Los Angeles, California, USA.

出版信息

Diabetes Technol Ther. 2024 Jun;26(6):420-425. doi: 10.1089/dia.2023.0464. Epub 2024 Feb 13.

Abstract

Insulin bolus doses derive from glucose levels and planned carbohydrate intake, although fat and protein impact glycemic excursions. We examined the impact of macronutrients and number of daily meals/snacks on glycemic outcomes in youth with type 1 diabetes. Youth ( = 136, ages 8-17) with type 1 diabetes completed 3-day food records, wore 3-day masked continuous glucose monitoring, and had A1c measurements every 3 months for 1 year. Diet data were analyzed using Nutrition Data System for Research. Longitudinal mixed models assessed effects of macronutrient intake and number of meals/snacks on glycemic outcomes. At baseline, youth (48% male) had mean age of 12.8 ± 2.5 years and diabetes duration of 5.9 ± 3.1 years; 73% used insulin pumps. Baseline A1c was 8.1% ± 1.0%, percent time in range 70-180 mg/dL (%TIR) was 49% ± 17%, % time below range <70 mg/dL (%TBR) was 6% ± 8%, % time above range >180 mg/dL (%TAR) was 44% ± 20%, and glycemic variability as coefficient of variation (CV) was 41% ± 8%; macronutrient intake included 48% ± 5% carbohydrate, 36% ± 5% fat, and 16% ± 2% protein. Most youth (56%) reported 3-4 meals/snacks daily (range 1-9). Over 1 year, greater carbohydrate intake was associated with lower A1c ( = 0.0003), more %TBR ( = 0.0006), less %TAR ( = 0.002), and higher CV ( = 0.03). Greater fat intake was associated with higher A1c ( = 0.006), less %TBR ( = 0.002), and more %TAR ( = 0.005). Greater protein intake was associated with higher A1c ( = 0.01). More daily meals/snacks were associated with lower A1c ( = 0.001), higher %TIR ( = 0.0006), and less %TAR ( = 0.0001). Both fat and protein impact glycemic outcomes. Future automated insulin delivery systems should consider all macronutrients for timely insulin provision. The present research study derived from secondary analysis of the study registered under NCT00999375.

摘要

胰岛素推注剂量取决于血糖水平和计划的碳水化合物摄入量,尽管脂肪和蛋白质会影响血糖波动。我们研究了宏量营养素和每日用餐/零食次数对 1 型糖尿病青少年血糖控制的影响。

共有 136 名 8-17 岁的 1 型糖尿病青少年完成了 3 天的饮食记录,佩戴了 3 天的连续血糖监测仪,并在 1 年内每 3 个月测量一次糖化血红蛋白。饮食数据使用 Research 营养数据系统进行分析。纵向混合模型评估了宏量营养素摄入和每日用餐/零食次数对血糖控制的影响。

在基线时,青少年(48%为男性)的平均年龄为 12.8±2.5 岁,糖尿病病程为 5.9±3.1 年;73%的患者使用胰岛素泵。基线糖化血红蛋白为 8.1%±1.0%,70-180mg/dL 时间百分比(%TIR)为 49%±17%,70mg/dL 以下时间百分比(%TBR)为 6%±8%,180mg/dL 以上时间百分比(%TAR)为 44%±20%,变异系数(CV)为 41%±8%;宏量营养素摄入包括 48%±5%的碳水化合物、36%±5%的脂肪和 16%±2%的蛋白质。大多数青少年(56%)每天报告 3-4 餐/零食(范围 1-9 餐)。在 1 年的时间里,更多的碳水化合物摄入与较低的糖化血红蛋白(=0.0003)、更多的 %TBR(=0.0006)、更少的 %TAR(=0.002)和更高的 CV(=0.03)相关。更多的脂肪摄入与较高的糖化血红蛋白(=0.006)、更少的 %TBR(=0.002)和更多的 %TAR(=0.005)相关。更多的蛋白质摄入与较高的糖化血红蛋白(=0.01)相关。更多的每日用餐/零食次数与较低的糖化血红蛋白(=0.001)、更高的 %TIR(=0.0006)和更少的 %TAR(=0.0001)相关。

脂肪和蛋白质都会影响血糖控制。未来的自动化胰岛素输送系统应考虑所有宏量营养素,以适时提供胰岛素。本研究是根据 NCT00999375 注册研究的二次分析得出的。

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