Slow postmeal walking reduces postprandial glycemia in middle-aged women

2009 ◽  
Vol 34 (6) ◽  
pp. 1087-1092 ◽  
Author(s):  
Håvard Nygaard ◽  
Sissel Erland Tomten ◽  
Arne Torbjørn Høstmark

Postprandial blood glucose concentration is a risk factor for the development of cardiovascular diseases and diabetes, even at states well below hyperglycemic levels. A previous study has shown that postmeal exercise of moderate intensity blunts the blood glucose increase after carbohydrate intake (Høstmark et al. Prev. Med. 42(5): 369–371). The objective of the present study was to examine whether even postmeal slow walking would have a similar effect. Fourteen healthy women aged >50 years participated in 3 experiments in a random crossover design: after a carbohydrate-rich meal, either they were seated (control experiment) or they performed slow postmeal walking for 15 min (W15) or 40 min (W40). Blood glucose concentration was determined prior to the meal (fasting), and at 11 time points throughout each experiment. The W15 trial lowered the blood glucose values during walking and delayed the peak blood glucose value (p = 0.003). In W40, the postmeal blood glucose increase during walking was blunted, the peak glucose value was delayed (p = 0.001), and the incremental area under the 2-h blood glucose curve (IAUC) was reduced (p = 0.014). There was a negative relationship between IAUC and walking time (p = 0.016). The individual reducing effect of walking on IAUC correlated strongly with IAUC on the control day (p < 0.001). We conclude that even slow postmeal walking can reduce the blood glucose response to a carbohydrate-rich meal. The magnitude of this effect seems to be related to the duration of walking and to the magnitude of the postprandial blood glucose response when resting after a carbohydrate-rich meal.

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Yannian Wang ◽  
Fenfen Wei ◽  
Changqing Sun ◽  
Quanzhong Li

Diabetes may result in some complications and increase the risk of many serious health problems. The purpose of clinical treatment is to carefully manage the blood glucose concentration. If the blood glucose concentration is predicted, treatments can be taken in advance to reduce the harm to patients. For this purpose, an improved grey GM (1, 1) model is applied to predict blood glucose with a small amount of data, and especially in terms of improved smoothness it can get higher prediction accuracy. The original data of blood glucose of type 2 diabetes is acquired by CGMS. Then the prediction model is established. Finally, 50 cases of blood glucose from the Henan Province People’s Hospital are predicted in 5, 10, 15, 20, 25, and 30 minutes, respectively, in advance to verify the prediction model. The prediction result of blood glucose is evaluated by the EGA, MSE, and MAE. Particularly, the prediction results of postprandial blood glucose are presented and analyzed. The result shows that the improved grey GM (1, 1) model has excellent performance in postprandial blood glucose prediction.


2017 ◽  
Vol 8 (10) ◽  
pp. 3783-3791 ◽  
Author(s):  
D. Dan Ramdath ◽  
Qiang Liu ◽  
Elizabeth Donner ◽  
Aileen Hawke ◽  
Danusha Kalinga ◽  
...  

Using human studies we confirm that lentils lower blood glucose response, which is correlated to the rapidly digestible starch and resistant starch content.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bhupinder Kaur ◽  
Melvin Koh ◽  
Shalini Ponnalagu ◽  
Christiani Jeyakumar Henry

Author(s):  
Arina D. Puspitasari ◽  
Hayu Kusuma ◽  
Dinda M.N. Ratri ◽  
Cahyo Wibisono ◽  
Budi Suprapti

AbstractBackgroundOne of the therapies used to treat type 2 diabetes mellitus (T2DM) disease is combination insulin which consists of rapid-acting insulin and intermediate-acting insulin (premixed). This study aimed to examine the profile of premixed insulin related to blood glucose concentration and to identify the drug interactions due to the combination of premixed insulin with other drugs taken by T2DM patients.MethodsThis study was a prospective observational study with cross-sectional data that were analyzed descriptively. The respondents invited were T2DM patients with or without complication or comorbid disease who received premixed insulin with or without a combination of oral antidiabetic therapy in the Outpatient Unit of Universitas Airlangga Hospital, Surabaya. The research instruments used are data sheet, patient medical record, and fasting and postprandial blood glucose concentration.ResultsA total of 118 patients received premixed insulin therapy, but only 80 patients were included in the inclusion criteria. Based on types of insulin, the combination of 30% aspart and 70% protamine aspart was used by 91.25% T2DM patients, and a combination of 25% insulin lispro and 75% protamine lispro was used by 8.75% T2DM patients. There were 30.3% of patients who could achieve the target of 80–130 mg/dL in fasting blood glucose concentrations, and 35.1% of patients achieved the target of ≤180 mg/dL in postprandial blood glucose concentration. Drug interactions may occur in patients who use premixed insulin with glimepiride, lisinopril, fenofibrate, candesartan, irbesartan, and gemfibrozil.ConclusionsIn this study, premixed insulin have not reached the target of fasting and postprandial blood glucose concentrations in most patients.


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