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Diabetes Technol Ther. 2021 Apr;23(4):277-285. doi: 10.1089/dia.2020.0516. Epub 2020 Dec 1.
2
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Comput Methods Programs Biomed. 2020 Dec;197:105757. doi: 10.1016/j.cmpb.2020.105757. Epub 2020 Sep 21.
3
Impact of Daily Physical Activity as Measured by Commonly Available Wearables on Mealtime Glucose Control in Type 1 Diabetes.常见可穿戴设备测量的日常身体活动对 1 型糖尿病患者进餐时血糖控制的影响。
Diabetes Technol Ther. 2020 Oct;22(10):742-748. doi: 10.1089/dia.2019.0517.
4
In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change.考虑葡萄糖变化率的文献中胰岛素大剂量计算方法的计算机模拟评估
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5
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6
Exercise management in type 1 diabetes: a consensus statement.1 型糖尿病的运动管理:共识声明。
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7
Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association.体力活动/运动与糖尿病:美国糖尿病协会立场声明
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8
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Impact of Physical Activity on Glycemic Control and Prevalence of Cardiovascular Risk Factors in Adults With Type 1 Diabetes: A Cross-sectional Multicenter Study of 18,028 Patients.体力活动对 1 型糖尿病成人血糖控制和心血管危险因素患病率的影响:一项横断面多中心研究,纳入 18028 例患者。
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基于步数的餐时推注方案在 1 型糖尿病患者中的安全性和可行性评估:一项初步研究。

Safety and Feasibility Evaluation of Step Count Informed Meal Boluses in Type 1 Diabetes: A Pilot Study.

机构信息

Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.

出版信息

J Diabetes Sci Technol. 2022 May;16(3):670-676. doi: 10.1177/1932296821997917. Epub 2021 Apr 1.

DOI:10.1177/1932296821997917
PMID:33794675
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9294569/
Abstract

BACKGROUND

Physical activity can cause glucose fluctuations both during and after it is performed, leading to hurdles in optimal insulin dosing in people with type 1 diabetes (T1D). We conducted a pilot clinical trial assessing the safety and feasibility of a physical activity-informed mealtime insulin bolus advisor that adjusts the meal bolus according to previous physical activity, based on step count data collected through an off-the-shelf physical activity tracker.

METHODS

Fifteen adults with T1D, each using a continuous glucose monitor (CGM) and an insulin pump with carbohydrate counting, completed two randomized crossover daily visits. Participants performed a 30 to 45-minute brisk walk before lunch and lunchtime insulin boluses were calculated based on either their standard therapy (ST) or the physical activity-informed bolus method. Post-lunch glycemic excursions were assessed using CGM readings.

RESULTS

There was no significant difference between visits in the time spent in hypoglycemia in the post-lunch period (median [IQR] standard: 0 [0]% vs physical activity-informed: 0 [0]%,  = NS). Standard therapy bolus yielded a higher time spent in 70 to 180 mg/dL target range (mean ± standard: 77% ± 27% vs physical activity-informed: 59% ± 31%,  = .03) yet, it was associated with a steeper negative slope in the early postprandial phase ( = .032).

CONCLUSIONS

Use of step count to adjust mealtime insulin following a walking bout has proved to be safe and feasible in a cohort of 15 T1D subjects. Physical activity-informed insulin dosing of meals eaten soon after a walking bout has a potential of mitigating physical activity related glucose reduction in the early postprandial phase.

摘要

背景

体力活动会在进行过程中和之后引起血糖波动,从而给 1 型糖尿病(T1D)患者的胰岛素最佳剂量带来困难。我们进行了一项试点临床试验,评估了一种根据步数数据调整餐前胰岛素剂量的体力活动知情的餐时胰岛素推注顾问的安全性和可行性,该顾问根据所收集的步数数据,根据之前的体力活动情况调整餐时胰岛素剂量。

方法

15 名使用连续血糖监测仪(CGM)和带有碳水化合物计数的胰岛素泵的 T1D 成人患者,每人完成两次随机交叉每日访问。参与者在午餐前进行 30 至 45 分钟的轻快步行,然后根据标准治疗(ST)或体力活动知情的推注方法计算午餐时的胰岛素推注量。使用 CGM 读数评估午餐后的血糖波动。

结果

在午餐后低血糖期间的时间方面,两次访问之间没有显著差异(中位数[IQR]标准:0 [0]%与体力活动知情:0 [0]%,= NS)。标准治疗推注产生了更高的 70 至 180mg/dL 目标范围内的时间(平均值±标准:77%±27%与体力活动知情:59%±31%,= 0.03),但与餐后早期的斜率更陡峭相关(= 0.032)。

结论

在 15 名 T1D 患者队列中,使用步数来调整餐后胰岛素剂量的方法已被证明是安全可行的。在餐后不久进行体力活动的餐时胰岛素剂量调整,有可能减轻餐后早期与体力活动相关的血糖下降。