The effect of walking on postprandial glycemic excursion in patients with type 1 diabetes and healthy people.
The effect of walking on postprandial glycemic excursion in patients with type 1 diabetes and healthy people.
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DOI：
10.2337/dc11-2381
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发表时间：
2012-12
期刊：
影响因子：
16.2
通讯作者：
Kudva YC
中科院分区：
文献类型：
--
作者：
Manohar C;Levine JA;Nandy DK;Saad A;Dalla Man C;McCrady-Spitzer SK;Basu R;Cobelli C;Carter RE;Basu A;Kudva YC
体力活动 (PA)，即使是低强度，也能促进健康并改善高血糖。然而，尚未检查用加速度计捕获的低强度 PA 对健康个体和 1 型糖尿病患者的血糖变异性的影响。量化 PA 对血糖变异性的影响将改进人工内分泌胰腺 (AEP) 算法。我们对 12 名健康对照受试者（5 名男性，37.7 ± 13.7 岁）和 12 名 1 型糖尿病患者（5 名男性，37.4 ± 14.2 岁）进行了 88 小时的研究。参与者进行的 PA 大约是其基础代谢率的三倍。使用 PA 监测系统捕获 PA，并使用连续血糖监测仪捕获间质液葡萄糖浓度。按照随机顺序，每天一顿饭后不活动，其他餐后步行。从进餐前 30 分钟到餐后 270 分钟，分析了总共 216 餐的血糖和 PA 数据。在健康受试者中，进餐后步行的曲线下葡萄糖增量面积为 4.5 mmol/L/270 分钟，而进餐后不活动的曲线下葡萄糖面积增量为 9.6 mmol/L/270 分钟 (P = 0.022)。 1 型糖尿病患者相应的血糖波动分别为 7.5 mmol/L/270 分钟和 18.4 mmol/L/270 分钟（P < 0.001）。步行对健康人群和 1 型糖尿病患者的餐后血糖波动有显着影响。结合 PA 的 AEP 算法可以增强严格的血糖控制终点。
Physical activity (PA), even at low intensity, promotes health and improves hyperglycemia. However, the effect of low-intensity PA captured with accelerometery on glucose variability in healthy individuals and patients with type 1 diabetes has not been examined. Quantifying the effects of PA on glycemic variability would improve artificial endocrine pancreas (AEP) algorithms. We studied 12 healthy control subjects (five males, 37.7 ± 13.7 years of age) and 12 patients with type 1 diabetes (five males, 37.4 ± 14.2 years of age) for 88 h. Participants performed PA approximating a threefold increase over their basal metabolic rate. PA was captured using a PA-monitoring system, and interstitial fluid glucose concentrations were captured with continuous glucose monitors. In random order, one meal per day was followed by inactivity, and the other meals were followed by walking. Glucose and PA data for a total of 216 meals were analyzed from 30 min prior to meal ingestion to 270 min postmeal. In healthy subjects, the incremental glucose area under the curve was 4.5 mmol/L/270 min for meals followed by walking, whereas it was 9.6 mmol/L/270 min (P = 0.022) for meals followed by inactivity. The corresponding glucose excursions for those with type 1 diabetes were 7.5 mmol/L/270 min and 18.4 mmol/L/270 min, respectively (P < 0.001). Walking significantly impacts postprandial glucose excursions in healthy populations and in those with type 1 diabetes. AEP algorithms incorporating PA may enhance tight glycemic control end points.