Showing 7 results for Blood Sugar
Maryam Razaghi-Azar, Nazanin Noori, Kamran Afsharian,
Volume 4, Issue 3 (5-2005)
Abstract
Background: The importance of feed controlling has been proved in metabolic control of diabetic patients. An appropriate metabolic control prevents later complications. Patients with diabetes mellitus are deprived from eating sweat foods. Considering the effect of different carbohydrates on blood sugar, physicians and patients confront a lot of questions about eating these foods. The aim of this study was to compare the effect of sugar cube and Date consumption on blood sugar in patients with type 1 diabetes.
Methods: As a clinical-trial, we selected 20 patients with type I diabetes mellitus sequentially. They were divided into two groups with 10 subjects in each group. The patient’s blood sugar was measured in 2 days with one week interval, before and after eating a Date (10gr) and a sugar cube (5gr). We measured blood sugar at 30, 60, 90 and 120 minutes after consumption. Data analysis was performed by SPSS software version 11, and the results were compared by paired t test.
Results: There was no significant difference between the blood sugar after eating Date and sugar cube. We also compared the surface under the curve of blood sugar after eating date and sugar cube in 2 hours, which was 1619.4 ± 614 mg.min/dL and 1572 ± 967 mg.min/dL for sugar cube and Date respectively, which the difference was not significant.
Conclusion: Rising in blood sugar after Date consumption has not significant difference in comparison with sugar cube consumption in patients with type I diabetes. So, eating Date in diabetic patients is not preferable to eating sugar cube.
Mohammad-Reza Rouini, Sima Sadray, Yalda H. Ardakani, Maryam Mokhberi, Sedaghat Solmaz,
Volume 6, Issue 2 (9-2006)
Abstract
Background: Metformin is used in treatment of non-insulin-dependent diabetes mellitus (NIDDM). The present study was aimed to study the pharmacokinetic and pharmaco-dynamic of metformin 500 mg tablet in healthy volunteers.
Methods: The test and reference metformin hydrochloride 500 mg tablets were administered to 12 healthy volunteers in a cross-over study. Metformin serum concentration and decrease in blood sugar levels (dBSL) were used for study of pharmacokinetic and pharmacodynamic.
Results: There was no correlation between phramacodynamic and pharmacokinetic para-meters. Also there was no increase in dBSL-(AUC0-12) with increase metformin serum concentration-time. The results of our study show that both products could be bioequivalent according to serum concentration and not blood sugar data.
Conclusion: There was no concentration – effect (dBSL) correlation for both products. Metformin didn’t decrease the blood glucose in healthy volunteers. In some volunteers there was no increase in blood sugar after meal and dextrose 20% oral solution administration which could be related to decreased absorption of glucose from gastrointestinal tract caused by metformin.
Zeynab Nezamdoust , Marziyeh Saghebjoo, Afson Barzgar,
Volume 14, Issue 2 (1-2015)
Abstract
Background: This study was conducted to determine the effect of 12 weeks of aerobic training on serum levels of vaspin and glucose homeostasis variables in patients with type 2 diabetes. Methods: In this quasi-experimental study, 20 women with type П diabetes (mean±SD: age 43.30 ±3.02 yr, body mass index 27.089±3.23 kg/m2 and body fat 29.46 ±2.71%) were randomized into experimental (n = 10) and control (n = 10) groups. Experimental group performed twelve weeks aerobic training (3 times per week at an intensity of 75-85 % of maximum heart rate reserve). Blood samples were collected 24h before and 48h after the training. Data was analyzed by paired and independent samples t-test (P <0.05). Results: Results showed a significant decrease in serum levels of vaspin, fasting blood sugar and insulin resistance index (P value 0.001, 0.01 and 0.007 respectively) ) in experimental group and body weight, body mass index, percent body fat and waist to hip ratio significantly decreased in experimental group (P value 0.002, 0.01, 0.04 and 0.03 respectively). Conclusion: The results of this study showed that aerobic training along with decrease in body weight and percent body fat leads to significant decrease in serum levels of vaspin, fasting glucose and insulin resistance index, so can be considered as a complementary therapy method in patients with type 2 diabetes.
Ali Delpisheh, Hosein Azizi, Elham Dantalab Esmaeili, Lotfali Haghiri, Gholamali Karimi, Fariba Abbasi,
Volume 14, Issue 3 (3-2015)
Abstract
Background: According to the importance of the family physicians program results in rural areas and government decision to apply this program in urban areas of Iran, This study aimed to determine the quality of care and blood sugar control, blood pressure and blood lipids in diabetic type &Iota&Iota patients in rural areas covered by family physicians. Methods: In this study, 380 patients 30-76 years old with medical records in the health centers of the malekan-Iran in rural areas in 2013, after informed consents were enrolled. Data were collected by interview and HbA1c examinations and using a standard questionnaire. Data analyzed by SPSS19 version. Multivariate logistic regression was used to estimate odds ratios adjusting for diabetes complications and related risk factors. Results: Results showed that 68% Study participants was women’s and average age of patients was 57.86±11.9 and sex ratio of females to males was almost 2.2 with 1. Final analysis showed that HbA1c levels more than 7% (PHbA1c=0.002), cholesterol over 240 mm/dl (Pcholesterol=0.04) and hypertensive over 140/90mm/Hg (PHTN=0.007) 1.52, 2.44 and 1.44 times increased risk of diabetes complications, respectively. Conclusions: The quality of care and blood sugar control in diabetic patients was lower than compared to the American Diabetes Association (ADA) standards, but our results are near to results of Country studies.
Hossein Farzalivand,
Volume 14, Issue 4 (5-2015)
Abstract
Background: One of the serious complications of type 1 diabetes is a sudden increase and drop in blood glucose levels causing risks of anesthesia and coma. Thus, an important step towards the optimal control of the disease is to use intelligent methods with low error rate and available information in order to predict and prevent such complications. In this paper, a combined Fuzzy SARSA algorithm was employed to design an expert system to predict fluctuations in blood glucose levels in patients with type 1 diabetes. The aim of this paper is to propose and implement a new algorithm based on reinforcement learning and fuzzy logic called FSA (Fuzzy SARSA Algorithm) to develop an expert system. Methods: The medical data used in this article were related to 3 Iranian female patients with type 1 diabetes. The data included parameters such as the type and dose of injected insulin and time interval between the hours of recorded blood glucose level and the one at the beginning of the period. A well-known reinforcement learning algorithm called SARSA was implemented with fuzzy logic. The Fuzzy SARSA algorithm was used in an expert system to predict fluctuations in blood glucose levels in patients with type 1 diabetes. Results: The results of the expert system with the proposed FSA algorithm for a learning factor included the parameters of blood glucose level at the beginning of the period (mg/dlit), short-acting injected insulin dose in to the body (unit), long-acting injected insulin dose (unit), stress level (unit), physical activity level (unit), used carbs (gr), and the interval between the beginning and end of the period (hour). They indicated that the factor managed to keep blood glucose levels at 85% in a normal range of 80 to 120, and it had 15% error. The error was observed in cases in which there was no proper exploratory factor for short-acting and long-acting injected insulin. Conclusion: According to the results, it was found that the proposed algorithm for intelligent system, with an approximate reduction of 15% in prediction error, can be used as a good model to predict fluctuations in blood glucose levels in patients with type 1 diabetes in comparison with other conventional methods including the ones based on reinforcement learning. In addition, other prediction methods based on artificial intelligence such as neural networks can be used to predict the results accurately.
Roohangiz Alirezaei Shahraki, Ahmad Aliakbari Kamrani, Robab Sahaf, Yahola Abolfathi Momtaz, Narjes Khosravi Samani,
Volume 17, Issue 5 (7-2018)
Abstract
Background: Diabetes is a chronic disease that is increasing in the world that has a different outbreak in different societies. 90% to 95% of all types of diabetes include type 2 diabetes. This disease is spreading due to the Industrial life and urbanization .The Nationwide Program for Prevention and Control of Diabetes is already under way for controlling the disease and its side-effects. This study is intended to probe into the effects of the program in the country.
Methods: This study used a cross-sectional pre- and post-test design involving 100 elderly patients newly introduced to be suffering from diabetes who were selected by convenience sampling in Isfahan. The data collection methods were a questionnaire on demography and health, and another one on patients’ levels of fasting blood sugar (FBS) and hemoglobin glycosides (HbA1c(The data was gathered before and three months after the patients’ entrance into the program.
Results: The mean and standard deviation of the fasting blood sugar before the program were 172.73 and 71.68 and after the program 143.02 and 51.19, respectively (P<.001; t=5.30). And finally, glycated hemoglobin mean and standard deviation before the program were 8.24 and 1.9 and after the program 7.44 and 1.66, respectively (P<.001; t=4.79).
Conclusion: The results indicate the importance of the program for the prevention and control of the elderly patients’ diabetes by controlling their fasting blood sugar and glycated hemoglobin.It is recommended that this program be implemented in all health centers of the country.
Farzaneh Shojaei, Zohreh Latifi, Sheida Jabalameli, Mansour Siavash,
Volume 24, Issue 4 (10-2024)
Abstract
Background: Type 2 diabetes is a common disease, which is associated with psychological problems. This study aimed to compare the effectiveness of self-healing on difficulties in emotion regulation and blood sugar index in patients with type 2 diabetes.
Methods: This research was semi-experimental (pre-test, post-test, follow-up with control group). The statistical population consisted of 300 people with type 2 diabetes who visited Sedighe Tahereh Clinic in Isfahan in 2021. Of these, 40 people were selected through purposive sampling and were assigned randomly in the experimental and control groups. Data collection tool was Gratz and Romer’s (2004) Difficulties in Emotion Regulation Scale (DERS) and laboratory equipment to measure blood sugar index. the experimental groups underwent 12 sessions of self-healing therapy and the control group did not receive any treatment. Analysis of variance with repeated measures and Bonferroni’s post hoc test were used to analyze the data. SPSS version 24 was used to analyze the data
Results: The results showed that self-healing has an effect on difficulties in emotion regulation and blood sugar index (P<0.05) and this result is continuous (P<0.05).
Conclusions: According to the results, it can be said that self-healing is effective in manegment of blood sugar of people with type 2 diabetes.
