scholarly journals Chickpeas suppress postprandial blood glucose concentration, and appetite and reduce energy intake at the next meal

2016 ◽  
Vol 54 (4) ◽  
pp. 987-994 ◽  
Author(s):  
Tasleem A. Zafar ◽  
Yearul Kabir
Keyword(s):  
Blood Glucose ◽  
Energy Intake ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Postprandial Blood Glucose ◽  
Reduce Energy Intake

scholarly journals The Research of Improved Grey GM (1, 1) Model to Predict the Postprandial Glucose in Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Yannian Wang ◽  
Fenfen Wei ◽  
Changqing Sun ◽  
Quanzhong Li
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Prediction Model ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Original Data ◽  
Postprandial Glucose ◽  
Postprandial Blood Glucose ◽  
Glucose Prediction

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.

The effect of premixed insulin to blood glucose concentration in patients with type 2 diabetes mellitus

2020 ◽  
Vol 30 (6) ◽  
Author(s):  
Arina D. Puspitasari ◽  
Hayu Kusuma ◽  
Dinda M.N. Ratri ◽  
Cahyo Wibisono ◽  
Budi Suprapti
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Postprandial Blood Glucose ◽  
Premixed Insulin ◽  
Acting Insulin ◽  
Blood Glucose Concentrations

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.

Influence of Dihydromyricetin on Lowering Blood Glucose Concentration and Reducing Early Kidney Damage in Imparied Glucose Tolerance Rats

2014 ◽  
Vol 1004-1005 ◽  
pp. 857-863 ◽  
Author(s):  
Yong Qiang Zhou ◽  
Tao Yan Mao
Keyword(s):  
Blood Glucose ◽  
Glucose Tolerance ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Early Stage ◽  
Fasting Blood Glucose ◽  
Kidney Damage ◽  
Postprandial Blood Glucose ◽  
Control Groups ◽  
Dose Levels

Diabetic nephropathy (DN) is a common complication of diabetes and it is related to irreversible kidney damages and chronic renal failure. Impaired glucose tolerance (IGT) is an early stage in the development of diabetes and DN. Early detection of IGT and treatment of its associated early kidney damage can effectively prevent the development of DN. In this paper, the influence of dihydromyricetin (DHM) on lowering blood glucose concentration and reducing early kidney damage in IGT rats was studied. Animal model of IGT rats was built by two week intragastric injection of D-galactose and treated with eight weeks of intragastric injection of DHM at two dose levels. The concentrations of fasting blood glucose (FBG), two-hour postprandial blood glucose (2hBG), insulin levels, contents of microalbuminuia (mAlb) and blood urea nitrogen (BUN), and activities of lactate dehydrogenase (LDH) in kidney were analysed and compared with those in control groups. Experimental results indicated that DHM treatment can significantly lower the levels of two-hour postprandial blood glucose and insulin, decrease the content of mAlb and the activities of LDH in kidney, but does not influence the level of BUN. The study suggested that DHM can effectively improve the states of IGT rats and provide a protective effect against early kidney damage.

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
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Negative Relationship ◽  
Postprandial Blood Glucose ◽  
Moderate Intensity ◽  
Glucose Response ◽  
Postprandial Glycemia ◽  
Blood Glucose Response ◽  
The Individual

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.

scholarly journals Effect of Ayunohikari, a Sugary Rice, on Postprandial Blood Glucose Concentration and Insulin Response in Humans

2011 ◽  
Vol 64 (4) ◽  
pp. 239-243 ◽  
Author(s):  
Youichi Arai ◽  
Noboru Shirahata ◽  
Junichi Fukasawa ◽  
Mayuko Tsuchida ◽  
Yoshinobu Nakajima ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Insulin Response ◽  
Postprandial Blood Glucose

scholarly journals The Comparative Effect on Satiety and Subsequent Energy Intake of Ingesting Sucrose or Isomaltulose Sweetened Trifle: A Randomized Crossover Trial

Nutrients ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1504 ◽  
Author(s):  
Fiona Kendall ◽  
Olivia Marchand ◽  
Jillian Haszard ◽  
Bernard Venn
Keyword(s):  
Blood Glucose ◽  
Energy Intake ◽  
Glucose Concentration ◽  
Crossover Trial ◽  
Blood Glucose Concentration ◽  
Area Under The Curve ◽  
Double Blind ◽  
Satiety Response ◽  
Diet Records ◽  
Significant Difference

The effect that blood glucose concentration has on feelings of satiety is unclear. Our aims were to assess satiety and subsequent energy intake following the ingestion of trifle sweetened with sucrose or isomaltulose whilst measuring plasma glucose concentration to confirm glycemic differences between trifles. Seventy-seven healthy adults participated in a double-blind crossover trial where trifle sweetened with sucrose or isomaltulose was consumed on separate days with a two-week washout. Blood was sampled at the baseline, 1 and 2 h postprandially, and satiety assessed using visual analogue scales (VAS). Weighed diet records were taken on test days. A statistically significant difference in blood glucose concentration between trifles was found at 60 min following consumption, with the isomaltulose trifle having a 0.69 mmol/L (95% confidence interval: −1.07, −0.31) lower concentration when compared with the sucrose trifle. Mean satiety response by area-under-the-curve (AUC) was not significantly different between trifles. Mean (SD) appetite scores for the sucrose and isomaltulose trifles were 4493 (2393) and 4527 (2590) mm·min, respectively, with a between trifle difference of −9 (95% CI: −589, 572) mm·min. Mean (SD) energy intake for the remainder of the day following trifle consumption was 3894 kJ (1950 kJ) and 3530 kJ (1926 kJ) after the sucrose and isomaltulose trifles, respectively, and was not significantly different (p = 0.133). The differing glycemic response to trifle was not related to satiety or to subsequent energy intake.

scholarly journals Decreased Consumption of Added Fructose Reduces Waist Circumference and Blood Glucose Concentration in Patients with Overweight and Obesity. The DISFRUTE Study: A Randomised Trial in Primary Care

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1149
Author(s):  
Santiago Domínguez-Coello ◽  
Lourdes Carrillo-Fernández ◽  
Jesús Gobierno-Hernández ◽  
Manuel Méndez-Abad ◽  
Carlos Borges-Álamo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Energy Intake ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Fasting Blood Glucose ◽  
Overweight And Obesity ◽  
Hepatic Insulin Resistance ◽  
Fructose 2

The relationship between fructose intake and insulin resistance remains controversial. Our purpose was to determine whether a reduction in dietary fructose is effective in decreasing insulin resistance (HOMA2-IR). This field trial was conducted on 438 adults with overweight and obese status, without diabetes. A total of 121 patients in a low fructose diet (LFD) group and 118 in a standard diet (SD) group completed the 24-week study. Both diets were prescribed with 30–40% of energy intake restriction. There were no between-group differences in HOMA2-IR. However, larger decreases were seen in the LFD group in waist circumference (−7.0 vs. −4.8 = −2.2 cms, 95% CI: −3.7, −0.7) and fasting blood glucose −0.25 vs. −0.11 = −0.14 mmol/L, 95% CI: −0.028, −0.02). The percentage of reduction in calorie intake was similar. Only were differences observed in the % energy intake for some nutrients: total fructose (−2 vs. −0.6 = −1.4, 95% CI: −2.6, −0.3), MUFA (−1.7 vs. −0.4 = −1.3, 95% CI: −2.4, −0.2), protein (5.1 vs. 3.6 = 1.4, 95% CI: 0.1, 2.7). The decrease in fructose consumption originated mainly from the reduction in added fructose (−2.8 vs. −1.9 = −0.9, 95% CI: −1.6, −0.03). These results were corroborated after multivariate adjustments. The low fructose diet did not reduce insulin resistance. However, it reduced waist circumference and fasting blood glucose concentration, which suggests a decrease in hepatic insulin resistance.

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