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Introduction: Standards of Medical Care in Diabetes-2022.引言:《2022年糖尿病医疗护理标准》
Diabetes Care. 2022 Jan 1;45(Suppl 1):S1-S2. doi: 10.2337/dc22-Sint.
2
Evaluation of Reference Metrics for Continuous Glucose Monitoring in Persons Without Diabetes and Prediabetes.评估无糖尿病和糖尿病前期人群连续血糖监测的参考指标。
J Diabetes Sci Technol. 2022 Mar;16(2):373-382. doi: 10.1177/1932296820965599. Epub 2020 Oct 26.
3
Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake.超加工食品饮食导致热量摄入过多和体重增加:一项关于随意进食的住院随机对照试验。
Cell Metab. 2020 Oct 6;32(4):690. doi: 10.1016/j.cmet.2020.08.014.
4
Diet-induced differences in estimated plasma glucose concentrations in healthy, non-diabetic adults are detected by continuous glucose monitoring-a randomized crossover trial.通过连续血糖监测,可检测到健康的非糖尿病成年人在饮食诱导下的血浆葡萄糖浓度估计值的差异——一项随机交叉试验。
Nutr Res. 2020 Aug;80:36-43. doi: 10.1016/j.nutres.2020.06.001. Epub 2020 Jun 6.
5
Review of methods for detecting glycemic disorders.血糖紊乱检测方法的综述。
Diabetes Res Clin Pract. 2020 Jul;165:108233. doi: 10.1016/j.diabres.2020.108233. Epub 2020 Jun 1.
6
Effect of Exercise and Meals on Continuous Glucose Monitor Data in Healthy Individuals Without Diabetes.运动和进餐对无糖尿病健康个体连续血糖监测数据的影响。
J Diabetes Sci Technol. 2021 May;15(3):593-599. doi: 10.1177/1932296820905904. Epub 2020 Feb 17.
7
Glucose Variability Assessed with Continuous Glucose Monitoring: Reliability, Reference Values, and Correlations with Established Glycemic Indices-The Maastricht Study.使用连续血糖监测评估血糖变异性:可靠性、参考值以及与既定血糖指标的相关性——马斯特里赫特研究。
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Nutr Diabetes. 2019 Aug 8;9(1):22. doi: 10.1038/s41387-019-0089-6.
9
Effect of exercise on glucose variability in healthy subjects: randomized crossover trial.运动对健康受试者血糖变异性的影响:随机交叉试验。
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Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.临床连续血糖监测数据解读目标:时间范围国际共识推荐意见。
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健康人群在固定用餐时间和日常生活条件下的连续血糖谱。

Continuous Glucose Profiles in Healthy People With Fixed Meal Times and Under Everyday Life Conditions.

机构信息

Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.

出版信息

J Diabetes Sci Technol. 2024 Mar;18(2):407-413. doi: 10.1177/19322968221113341. Epub 2022 Jul 25.

DOI:10.1177/19322968221113341
PMID:35876145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10973852/
Abstract

BACKGROUND

The increased use of continuous glucose monitoring (CGM) and automated insulin delivery systems raises the question about therapeutic targets for glucose profiles in people with diabetes. This study aimed to assess averaged pre- and postprandial glucose profiles in people without diabetes to provide guidance for normal glucose patterns in clinical practice. For that, number and timing of meal intake were predefined.

MATERIAL AND METHODS

To assess glucose traces in 36 participants without diabetes (mean age = 23.7 ± 5.7 years), CGM was performed for up to 14 days, starting with a run-in phase (first 3 days, excluded from analysis) followed by 4 days with fixed meal times at 8:00 am, 1:00 pm, and 6:00 pm and the remaining 7 days spent under everyday life conditions. Data from two simultaneously worn CGM sensors were averaged and adjusted to capillary plasma-equivalent glucose values. Glucose data were evaluated through descriptive statistics.

RESULTS

Median glucose concentration on days with fixed meal times and under everyday life conditions was 95.0 mg/dL (91.6-99.1 mg/dL, interquartile range) and 98.1 mg/dL (93.7-100.8 mg/dL), respectively. On days with fixed meal times, mean premeal glucose was 92.8 ± 9.4 mg/dL, and mean peak postmeal glucose was 143.3 ± 23.5 mg/dL.

CONCLUSIONS

By defining the time of meal intake, a clear pattern of distinct postprandial glucose excursions in participants without diabetes could be demonstrated and analyzed. The presented glucose profiles might be helpful as an estimate for adequate clinical targets in people with diabetes.

摘要

背景

连续血糖监测(CGM)和自动化胰岛素输送系统的广泛应用引发了人们对于糖尿病患者血糖谱治疗目标的疑问。本研究旨在评估无糖尿病个体的餐前和餐后平均血糖谱,为临床实践中的正常血糖模式提供指导。为此,预先设定了进餐的次数和时间。

材料和方法

为了评估 36 名无糖尿病个体(平均年龄 23.7±5.7 岁)的血糖轨迹,进行了长达 14 天的 CGM 监测,首先是为期 3 天的预试验阶段(不纳入分析),然后是 4 天的固定进餐时间(上午 8 点、下午 1 点和 6 点),最后 7 天在日常生活条件下进行。从两个同时佩戴的 CGM 传感器中获取的数据进行平均处理,并调整为毛细血管血浆等效葡萄糖值。通过描述性统计评估血糖数据。

结果

固定进餐时间和日常生活条件下的平均血糖浓度分别为 95.0mg/dL(91.6-99.1mg/dL,四分位间距)和 98.1mg/dL(93.7-100.8mg/dL)。在固定进餐时间的日子里,餐前平均血糖为 92.8±9.4mg/dL,餐后平均峰值血糖为 143.3±23.5mg/dL。

结论

通过定义进餐时间,可以清楚地展示和分析无糖尿病个体餐后血糖的明显波动模式。所呈现的血糖谱可能有助于作为糖尿病患者适当的临床目标的估计值。