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本文引用的文献

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Continuous Glucose Monitoring Profiles in Healthy Nondiabetic Participants: A Multicenter Prospective Study.健康非糖尿病参与者的连续血糖监测谱:一项多中心前瞻性研究。
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2
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Diabetes Res Clin Pract. 2019 May;151:56-64. doi: 10.1016/j.diabres.2019.03.038. Epub 2019 Mar 30.
3
Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials.验证时间在范围内作为糖尿病临床试验的结果测量。
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4
Alcohol Use in Young Adults With Type 1 Diabetes Mellitus.1型糖尿病青年成人的饮酒情况
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Behavior Modification in Prediabetes and Diabetes: Potential Use of Real-Time Continuous Glucose Monitoring.糖尿病前期和糖尿病的行为改变:实时连续血糖监测的潜在应用
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6
Glucotypes reveal new patterns of glucose dysregulation.糖谱揭示了葡萄糖失调的新模式。
PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul.
7
Continuous glucose monitoring and glycemic control among youth with type 1 diabetes: International comparison from the T1D Exchange and DPV Initiative.青少年 1 型糖尿病患者的连续血糖监测和血糖控制:来自 T1D Exchange 和 DPV Initiative 的国际比较。
Pediatr Diabetes. 2018 Nov;19(7):1271-1275. doi: 10.1111/pedi.12711. Epub 2018 Jul 1.
8
Continuous glucose monitoring is more sensitive than HbA1c and fasting glucose in detecting dysglycaemia in a Spanish population without diabetes.连续血糖监测在检测无糖尿病的西班牙人群中的糖代谢异常方面比 HbA1c 和空腹血糖更敏感。
Diabetes Res Clin Pract. 2018 Aug;142:100-109. doi: 10.1016/j.diabres.2018.05.026. Epub 2018 May 26.
9
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data.利用连续血糖监测数据中的血糖变异性指标进行糖尿病和糖尿病前期分类
J Diabetes Sci Technol. 2018 Jan;12(1):105-113. doi: 10.1177/1932296817710478. Epub 2017 Jun 1.
10
Exercise management in type 1 diabetes: a consensus statement.1 型糖尿病的运动管理:共识声明。
Lancet Diabetes Endocrinol. 2017 May;5(5):377-390. doi: 10.1016/S2213-8587(17)30014-1. Epub 2017 Jan 24.

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。

Effect of Exercise and Meals on Continuous Glucose Monitor Data in Healthy Individuals Without Diabetes.

机构信息

Jaeb Center for Health Research, Tampa, FL, USA.

Yale School of Medicine, New Haven, CT, USA.

出版信息

J Diabetes Sci Technol. 2021 May;15(3):593-599. doi: 10.1177/1932296820905904. Epub 2020 Feb 17.

DOI:10.1177/1932296820905904
PMID:32064911
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8120054/
Abstract

OBJECTIVE

The aim of these analyses was to characterize the effect of exercise and meals on glucose concentrations in healthy individuals without diabetes.

METHODS

Healthy individuals without diabetes (age ≥6 years) with nonobese body mass index were enrolled at 12 centers within the T1D Exchange Clinic Network. Participants wore a blinded Dexcom G6 for up to ten days. Throughout this sensor wear, participants completed a daily log indicating times and type of any exercise and start times of meals and snacks.

RESULTS

A total of 153 participants (age 7-80 years) were included in the analyses. Exercise induced a mean change of -15 ± 18 mg/dL from baseline to nadir sensor glucose level. Mean nadir glucose concentration during nights following exercise days was 82 ± 11 mg/dL compared with 85 ± 11 mg/dL during nights following nonexercise days ( = .05). Mean change from baseline to nadir sensor glucose level during aerobic exercise was -15 ± 18 and -9 ± 12 mg/dL for resistance exercise ( = .25). Overnight nadir glucose during nights following aerobic and resistance exercise was 83 ± 12 and 76 ± 14 mg/dL, respectively ( = .25). Overall mean peak postprandial glucose per participant increased from 93 ± 10 mg/dL premeal to 130 ± 13 mg/dL with an average time to peak glucose per participant of 97 ± 31 minutes. Consumption of alcohol on the day prior did not impact overnight mean or nadir glucose.

CONCLUSION

The present analysis provides important data characterizing the effect of exercise and meals on glucose in healthy individuals without diabetes. These data provide a repository to which future therapies, whether pharmacologic or technologic, can be compared.

摘要

目的

这些分析旨在描述健康个体(无糖尿病)在运动和进食时的血糖变化特征。

方法

无糖尿病(年龄≥6 岁)且非肥胖的个体纳入 T1D 交换诊所网络的 12 个中心。参与者佩戴 Dexcom G6 持续 10 天。在此期间,参与者每日记录运动类型和时间、用餐和零食的起始时间。

结果

共有 153 名参与者(年龄 7-80 岁)纳入分析。运动导致基线至传感器血糖最低值的平均变化为-15±18mg/dL。运动日后夜间的平均最低血糖浓度为 82±11mg/dL,而非运动日后夜间为 85±11mg/dL( =.05)。有氧运动和抗阻运动期间,从基线到传感器血糖最低值的平均变化分别为-15±18mg/dL 和-9±12mg/dL( =.25)。运动日后夜间,有氧运动和抗阻运动后的最低血糖分别为 83±12mg/dL 和 76±14mg/dL( =.25)。每位参与者的平均餐后最高血糖峰值从餐前的 93±10mg/dL 增加到 130±13mg/dL,平均峰值时间为 97±31 分钟。参与者前一天饮酒不影响夜间平均血糖或最低血糖。

结论

本分析提供了重要数据,描述了健康个体在运动和进食时的血糖变化特征。这些数据为未来的治疗方法(无论是药物治疗还是技术治疗)提供了一个比较的基准。