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1

American Diabetes Association. "Postprandial Blood Glucose." Clinical Diabetes 19, no. 3 (July 1, 2001): 127–30. http://dx.doi.org/10.2337/diaclin.19.3.127.

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Parker, Lewan, Dale J. Morrison, Andrew C. Betik, Katherine Roberts-Thomson, Gunveen Kaur, Glenn D. Wadley, Christopher S. Shaw, and Michelle A. Keske. "High-glucose mixed-nutrient meal ingestion impairs skeletal muscle microvascular blood flow in healthy young men." American Journal of Physiology-Endocrinology and Metabolism 318, no. 6 (June 1, 2020): E1014—E1021. http://dx.doi.org/10.1152/ajpendo.00540.2019.

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Oral glucose ingestion leads to impaired muscle microvascular blood flow (MBF), which may contribute to acute hyperglycemia-induced insulin resistance. We investigated whether incorporating lipids and protein into a high-glucose load would prevent postprandial MBF dysfunction. Ten healthy young men (age, 27 yr [24, 30], mean with lower and upper bounds of the 95% confidence interval; height, 180 cm [174, 185]; weight, 77 kg [70, 84]) ingested a high-glucose (1.1 g/kg glucose) mixed-nutrient meal (10 kcal/kg; 45% carbohydrate, 20% protein, and 35% fat) in the morning after an overnight fast. Femoral arterial blood flow was measured via Doppler ultrasound, and thigh MBF was measured via contrast-enhanced ultrasound, before meal ingestion and 1 h and 2 h postprandially. Blood glucose and plasma insulin were measured at baseline and every 15 min throughout the 2-h postprandial period. Compared with baseline, thigh muscle microvascular blood volume, velocity, and flow were significantly impaired at 60 min postprandial (−25%, −27%, and −46%, respectively; all P < 0.05) and to a greater extent at 120 min postprandial (−37%, −46%, and −64%; all P < 0.01). Heart rate and femoral arterial diameter, blood velocity, and blood flow were significantly increased at 60 min and 120 min postprandial (all P < 0.05). Higher blood glucose area under the curve was correlated with greater MBF dysfunction ( R2 = 0.742; P < 0.001). Ingestion of a high-glucose mixed-nutrient meal impairs MBF in healthy individuals for up to 2 h postprandial.
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Shrestha, L., B. Jha, B. Yadav, and S. Sharma. "Correlation between fasting blood glucose, postprandial blood glucose and glycated hemoglobin in non-insulin treated type 2 diabetic subjects." Sunsari Technical College Journal 1, no. 1 (September 16, 2013): 18–21. http://dx.doi.org/10.3126/stcj.v1i1.8654.

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Background: Diabetes mellitus (DM) comprises a group of common metabolic disorders that share phenotype of hyperglycemia. Objectives: This study was conducted to determine the correlation between glucose monitoring by fasting blood glucose or two hours postprandial blood glucose with glycated hemoglobin (HbA1c) in type 2 diabetic patients. Method: A cross sectional study was conducted over a period of six month in the Department of Biochemistry. Institute of Medical, Tribhuvan University Teaching Hospital. Sixty inpatients with Diabetes mellitus type 2 were assessed for daily fasting and postprandial blood sugar for 15 consecutive days. HbA1c was measured on the 15th day. Result: Both postprandial blood glucose and fasting blood glucose significantly correlated with HbA1c. Postprandial blood glucose showed better correlation to HbA1c than fasting blood glucose (r = 0.630, P <0.001 vs. r =0.452, P = 0.05). Conclusion: These results show that postprandial blood glucose correlated better than fasting blood glucose to HbA1c. Thus, postprandial blood glucose predicted overall glycemic control better than fasting blood glucose. This finding has potential implications for treatment and monitoring of metabolic control in type-2 diabetes. DOI: http://dx.doi.org/10.3126/stcj.v1i1.8654 Sunsari Technical College Journal Vol.1(1) 2012 18-21
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Adak, Manoranjan, and Hari Prasad Upadhyay. "Influence of Aging on HbA1C: A Cross-Sectional Study on Diabetic Population Attending a Tertiery Care Center of Central Nepal." Journal of College of Medical Sciences-Nepal 18, no. 3 (November 4, 2022): 227–34. http://dx.doi.org/10.3126/jcmsn.v18i3.45504.

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Background: Diabetes mellitus is increasing day by day throughout the globe. So, early diagnosis of diabetes is crucially important in reduction of the complications. This study was conducted to determine the correlation between glucose monitoring by fasting blood glucose and two hours postprandial blood glucose with glycated hemoglobin (HbA1c) in diabetic patients and evaluate whether glycohemoglobin levels increase with age in both sexes Methods: A hospital-based analytical cross-sectional study was carried out from March 2020 to December 2021 in diabetic patients attending at outpatient department (OPD) of College of Medical College and Teaching Hospital, Bharatpur, Chitwan. The total number patients was 696 people. HbA1c, fasting blood sugar (FBS) and postprandial blood sugar (PPBS) were analyzed. Results: Both postprandial blood glucose and fasting blood glucose significantly correlated with HbA1c. Postprandial blood glucose showed better correlation to HbA1c than fasting blood glucose (r = 0.630, P <0.001 vs. r =0.452, P = 0.05). Conclusions: These results show that postprandial blood glucose correlated better than fasting blood glucose to HbA1c. Thus, postprandial blood glucose predicted overall glycemic control better than fasting blood glucose. Based on our study, we may concluded a significant correlation exist between age and HbA1c in Nepalese population.
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Wulansari, Arin, Fryta Ameilia Luthfinnisa, Fuadah Uyun, Dwi Retnoningrum, Fifin Luthfia Rahmi, and Arief Wildan. "Pengaruh lama mengunyah terhadap kadar glukosa postprandial dewasa obesitas." Jurnal Gizi Indonesia 8, no. 1 (February 6, 2020): 24. http://dx.doi.org/10.14710/jgi.8.1.24-30.

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Background: Obesity cause various physiological changes in the body, one of which is insulin resistance causes high blood glucose levels. Chewing is a stimulus of cephalic phase responses and sensory stimulation that can increase hormones releasing such as insulin, ghrelin, cholecystokinin (CCK) and glucagon like peptide-1 (GLP-1). Chewing plays important role in determining postprandial plasma glucose concentration.Objective: Investigate the effect of chewing on postprandial blood glucose in obese adults.Method: This was true experimental research. Research subjects were treated in the form of chewing 22 times and 40 times each mouthful. Blood glucose levels were measured using glucometer on fasting blood glucose and postprandial blood glucose 15 minutes, 30 minutes, 60 minutes, and 120 minutes. Statistical test using Independent t-test.Results: The mean postprandial glucose levels in the 22 chews group at 15 minutes, 30 minutes, 60 minutes, and 120 minutes were 112.11 ± 14.3328, 126.11 ± 15.667, 116.94 ± 15.539, and 89.67 ± 11.668 . While the mean postprandial blood glucose levels in the 40 chews group at 15 minutes, 30 minutes, 60 minutes, and 120 minutes were 122.22 ± 14.381, 129.61 ± 15.112, 109.50 ± 14.995, and 85.83 ± 13.963. There were statistically significant differences between chewing groups 22 times and chewing 40 times on fasting blood glucose and 15 minutes postprandial blood glucose (p = 0.041 and p = 0.042), while on 30 minutes postprandial glucose testing, 60 minutes , and 120 minutes there was no significant difference (p> 0.05).Conclusion: There was significant differences in 15 minutes postprandial blood glucose level between group 22 times chewing and 40 times chewing each mouthful.
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Röhling, Martin, Wonnemann, Kragl, Klein, Heinemann, Martin, and Kempf. "Determination of Postprandial Glycemic Responses by Continuous Glucose Monitoring in a Real-World Setting." Nutrients 11, no. 10 (September 27, 2019): 2305. http://dx.doi.org/10.3390/nu11102305.

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Background: Self-monitoring of blood glucose using capillary glucose testing (C) has a number of shortcomings compared to continuous glucose monitoring (CGM). We aimed to compare these two methods and used blood glucose measurements in venous blood (IV) as a reference. Postprandial blood glucose levels were measured after 50 g oral glucose load and after the consumption of a portion of different foods containing 50 g of carbohydrates. We also evaluated the associations between postprandial glucose responses and the clinical characteristics of the participants at the beginning of the study. Methods: 12 healthy volunteers (age: 36 ± 17 years, BMI: 24.9 ± 3.5 kg/m²) ate white bread (WB) and whole grain (WG) bread and drank a 50 g glucose drink as reference. Postprandial glucose responses were evaluated by CGM, IV and C blood glucose measurements. Incremental area under the curve (AUCi) of postprandial blood glucose was calculated for 1 h (AUCi 0-60) and 2 h (AUCi 0-120). Results: After the consumption of white bread and whole grain bread, the AUCi 0-60 min did not differ between CGM and IV or C. AUCi 0-120 min of CGM showed no difference compared to C. Correlation analyses revealed a positive association of age with glucose AUCi 0-120 (r = 0.768; P = 0.004) and WG AUCi 0-120 (r = 0.758; P = 0.004); fasting blood glucose correlated with WG AUCi 0-120 (r = 0.838; P < 0.001). Conclusion: Despite considerable inter-individual variability of postprandial glycemic responses, CGM evaluated postprandial glycemic excursions which had comparable results compared to standard blood glucose measurements under real-life conditions. Associations of AUCi 0-60 and AUCi 0-120 postprandial glucose response with age or fasting blood glucose could be shown.
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Inoue, Yutaka, Yukari Kitani, Satoshi Osakabe, Yukitoshi Yamamoto, Isamu Murata, and Ikuo Kanamoto. "The Effects of Gold Kiwifruit Intake Timing with or without Pericarp on Postprandial Blood Glucose Level." Nutrients 13, no. 6 (June 19, 2021): 2103. http://dx.doi.org/10.3390/nu13062103.

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The purpose of this study was to examine how gold kiwifruit pericarp (pericarp is defined as the skin of the fruit) consumption and the timing thereof affect the postprandial blood glucose profile. The study was conducted on ten healthy volunteers (six men and four women). According to our results, the simultaneous intake of gold kiwifruit with bread and the prior intake of gold kiwifruit evidently suppressed the postprandial blood glucose elevation compared with exclusive bread intake. There was no significant difference in postprandial blood glucose changes between the ingestion of gold kiwifruit pericarp and pulp and that of gold kiwifruit pulp only. The highest postprandial blood glucose elevation was suppressed by 27.6% and the area under the blood glucose elevation curve by 29.3%, even with the exclusive ingestion of gold kiwifruit pulp. We predicted that the ingestion of both the pericarp and pulp of gold kiwifruit would reduce the postprandial blood glucose elevation to a greater extent than that of gold kiwifruit pulp only; however, there was no significant difference between the two. These results indicate that gold kiwifruit consumption significantly suppresses the postprandial blood glucose elevation regardless of pericarp presence or absence and the timing of ingestion.
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Takano, Akira, Tomoyasu Kamiya, Hiroshi Tomozawa, Shiori Ueno, Masahito Tsubata, Motoya Ikeguchi, Kinya Takagaki, et al. "Insoluble Fiber in Young Barley Leaf Suppresses the Increment of Postprandial Blood Glucose Level by Increasing the Digesta Viscosity." Evidence-Based Complementary and Alternative Medicine 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/137871.

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Barley (Hordeum vulgareL.) is a well-known cereal plant. Young barley leaf is consumed as a popular green-colored drink, which is named “Aojiru” in Japan. We examined the effects of barley leaf powder (BLP) and insoluble fibers derived from BLP on postprandial blood glucose in rats and healthy Japanese volunteers. BLP and insoluble fibers derived from BLP suppressed the increment of postprandial blood glucose levels in rats (), and increased the viscosity of their digesta. The insoluble fibers present in BLP might play a role in controlling blood glucose level by increasing digesta viscosity. In human, BLP suppressed the increment of postprandial blood glucose level only in those which exhibited higher blood glucose levels after meals (). BLP might suppress the increment of postprandial blood glucose level by increasing digesta viscosity in both of rats and humans who require blood glucose monitoring.
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9

Koschinsky, Theodor, Sascha Heckermann, and Lutz Heinemann. "Parameters Affecting Postprandial Blood Glucose: Effects of Blood Glucose Measurement Errors." Journal of Diabetes Science and Technology 2, no. 1 (January 2008): 58–66. http://dx.doi.org/10.1177/193229680800200109.

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Hatamoto, Yoichi, Ryoma Goya, Yosuke Yamada, Eichi Yoshimura, Sena Nishimura, Yasuki Higaki, and Hiroaki Tanaka. "Effect of exercise timing on elevated postprandial glucose levels." Journal of Applied Physiology 123, no. 2 (August 1, 2017): 278–84. http://dx.doi.org/10.1152/japplphysiol.00608.2016.

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There is no consensus regarding optimal exercise timing for reducing postprandial glucose (PPG). The purpose of the present study was to determine the most effective exercise timing. Eleven participants completed four different exercise patterns 1) no exercise; 2) preprandial exercise (jogging); 3) postprandial exercise; and 4) brief periodic exercise intervention (three sets of 1-min jogging + 30 s of rest, every 30 min, 20 times total) in a random order separated by a minimum of 5 days. Preprandial and postprandial exercise consisted of 20 sets of intermittent exercise (1 min of jogging + 30 s rest per set) repeated 3 times per day. Total daily exercise volume was identical for all three exercise patterns. Exercise intensities were 62.4 ± 12.9% V̇o2peak. Blood glucose concentrations were measured continuously throughout each trial for 24 h. After breakfast, peak blood glucose concentrations were lower with brief periodic exercise (99 ± 6 mg/dl) than those with preprandial and postprandial exercise (109 ± 10 and 115 ± 14 mg/dl, respectively, P < 0.05, effect size = 0.517). After lunch, peak glucose concentrations were lower with brief periodic exercise than those with postprandial exercise (97 ± 5 and 108 ± 8 mg/dl, P < 0.05, effect size = 0.484). After dinner, peak glucose concentrations did not significantly differ among exercise patterns. Areas under the curve over 24 h and 2 h postprandially did not differ among exercise patterns. These findings suggest that brief periodic exercise may be more effective than preprandial and postprandial exercise at attenuating PPG in young active individuals. NEW & NOTEWORTHY This was the first study to investigate the effect of different exercise timing (brief periodic vs. preprandial vs. postprandial exercise) on postprandial glucose (PPG) attenuation in active healthy men. We demonstrated that brief periodic exercise attenuated peak PPG levels more than preprandial and postprandial exercise, particularly in the morning. Additionally, PPG rebounded soon after discontinuing postprandial exercise. Thus, brief periodic exercise may be better than preprandial and postprandial exercise at attenuating PPG levels.
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Sinaga, Hotman, Ferasdisa Aditama, and Rosnita Sebayang. "THE DIFFERENCES IN THE RESULTS OF POSTPRANDIAL BLOOD GLUCOSE LEVEL EXAMINATION IN STUDENTS WHO WERE GIVEN INTAKE OF PACKAGE RICE AND SRIKAYA JAM BREAD." Jurnal Kesehatan 15, no. 1 (June 5, 2022): 18–21. http://dx.doi.org/10.24252/kesehatan.v15i1.14148.

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According to the WHO in 2013, postprandial blood glucose examination and Oral Glucose Tolerance Test (TTGO) must use 75 grams of glucose dissolved in 250 ml. But in some laboratories when performing postprandial blood glucose test do not use 75 grams of glucose as recommended by WHO. Anyone use other substitutes such as package rice, which is complemented with side dishes, bread with srikaya jam, sweet tea, and bread with sweet tea. The type of study used is pre-experiment with Pretest and Posttest One Group. From a total subject 26 people. Subjects were asked to fast 10-12 hours, then blood was taken for fasting blood glucose levels. Subjects were divided into two groups, namely the group who received intake package rice and the group that received intake of srikaya jam bread. Subjects were asked to fast 2 hours. The average postprandial blood glucose level of packaged rice intake was 92.2 mg / dL while the average postprandial blood glucose level ofsrikaya jam bread intake was 91.5 mg / dL. No significant differences in the results of postprandial blood glucose level examination given the intake of packaged rice and srikaya bread with values (sig 2 tailed) 0.876> 0.025.
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Gaol Marbun, Putri Itonami, and Tengku Helvi Mardiani. "CORRELATION BETWEEN BLOOD GLUCOSE LEVEL AND THINKING CONCENTRATION." Folia Medica Indonesiana 52, no. 3 (August 14, 2017): 214. http://dx.doi.org/10.20473/fmi.v52i3.5454.

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Cognition function specifically about thinking concentration has not much yet been studied. Society view shown that glucose has role thinking quality. Few studies shown that glucose has role in specific memory quality but not in complex thinking. This study purpose to see correlation between blood glucose level with thinking concentration before eating (preprandial), after eating (postprandial), and the effect of blood glucose rise on thinking concentration. Subjects that accomplished study’s requirement were recruited until forty six people and were followed within thirty minutes. Blood Glucose level was measured by glucose meter at initial admission, thinking concentration were measured with trail making test at initial admission, and compared after eating on the thirtieth minute. Descriptive analytic shown that preprandial blood glucose level in all subject is 55-119 mg/dl with 98.2 mg/dl mean. Postprandial blood glucose level in all subject is 103-171 mg/dl with 134.5 mg/dl mean. Preprandial thinking concentration in all subject is 28-93 seconds with 56.42 seconds mean. Postprandial thinking concentration in all subject is 24-73 seconds with 47.5 seconds mean. Correlation analysis showed that no significance between preprandial blood glucose level and thinking concentration (p = 0.556), postprandial blood glucose level and thinking concentration (p = 0.533), and increase in blood glucose and thinking concentration (p= 0.928). In conclusion there is no significant correlation between blood glucose level and thinking concentration.
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Viapita, Brilianti, Raihanah Suzan, and Erny Kusdiyah. "STUDI LITERATUR : HUBUNGAN ASUPAN SERAT TERHADAP KADAR GLUKOSA DARAH POSTPRANDIAL." Electronic Journal Scientific of Environmental Health And Disease 2, no. 1 (June 30, 2021): 01–09. http://dx.doi.org/10.22437/esehad.v2i1.13733.

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ABSTRACT Background: According to the World Health Organization (WHO), the number of people with Diabetes Mellitus (DM) worldwide in 2000 was 177 million people and increased to 194 million people in 2003. Increased blood glucose levels, especially postprandial blood glucose levels play an important role in the pathogenesis of DM. Diet or nutritional therapy plays an important role in postprandial glucose control, one of them is the consumption of high-fiber diets. Objective: To determine the relationship between between fiber intake and postprandial blood glucose levels. Methods: This study used a literature review approach with a research method scoping review, using ten literatures sourced from search results through the search engine Google Scholar, PubMed, Science Direct, and DOAJ according to the inclusion criteria determined by the researcher. Results: There are 8 literatures show a significant relationship between fiber intake and postprandial blood glucose levels (p value <0.05). Other 2 literatures show no significant relationship between high fiber intake and postprandial blood glucose levels. Conclusion: Adequate fiber intake has a significant relationship in the reduction of postprandial blood glucose levels in subjects with normal glucose tolerance, glucose intolerance, pre-diabetes, and type 2 diabetes mellitus with the age range of subjects 18-85 years (p value <0.05) Keywords: Fiber intake, Postprandial Blood Glucose ABSTRAK Latar Belakang: Menurut World Health Organization (WHO), jumlah penderita Diabetes Mellitus (DM) di seluruh dunia pada tahun 2000 adalah 177 juta orang dan meningkat menjadi 194 juta orang pada tahun 2003. Peningkatan kadar glukosa darah terutama kadar glukosa darah postprandial berperan penting dalam patogenesis terjadinya DM. Pengaturan pola makan atau terapi nutrisi berperan penting dalam kontrol glukosa postprandial yakni, salah satunya dengan konsumsi makanan tinggi serat. Tujuan Penelitian: Untuk mengetahui hubungan asupan serat terhadap kadar glukosa darah postprandial. Metode: Penelitian ini menggunakan pendekatan studi literatur dengan metode penelitian scoping review yang menggunakan sepuluh literatur yang bersumber dari hasil penelusuran melalui search engine Google Scholar, PubMed, Science Direct, dan DOAJ sesuai dengan kriteria inklusi yang sudah ditetapkan peneliti. Hasil : Sebanyak 8 literatur menunjukan adanya hubungan signifikan antara asupan serat dan kadar glukosa darah postprandial (p value < 0.05). Sebanyak 2 literatur menunjukan tidak ada hubungan yang signifikan antara tingginya asupan serat terhadap kadar glukosa darah postprandial. Kesimpulan : Asupan Serat yang cukup memiliki hubungan yang signifikan terhadap penurunan kadar glukosa darah postprandial baik pada subyek dengan toleransi glukosa normal, intoleransi glukosa, pre-diabetes, dan diabetes melitus tipe 2 dengan rentang usia subyek 18-85 tahun (p value < 0.05) Kata Kunci : Asupan Serat, Glukosa Darah Postprandial
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&NA;. "Insulin aspart improves postprandial blood glucose control." Inpharma Weekly &NA;, no. 1189 (May 1999): 10. http://dx.doi.org/10.2165/00128413-199911890-00019.

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15

Ceriello, Antonio. "Does postprandial blood glucose matter and why?" Endocrinología y Nutrición 56 (December 2009): 8–11. http://dx.doi.org/10.1016/s1575-0922(09)73508-9.

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Bernardo, Maria Alexandra, Maria Leonor Silva, Elisabeth Santos, Margarida Maria Moncada, José Brito, Luis Proença, Jaipaul Singh, and Maria Fernanda de Mesquita. "Effect of Cinnamon Tea on Postprandial Glucose Concentration." Journal of Diabetes Research 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/913651.

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Glycaemic control, in particular at postprandial period, has a key role in prevention of different diseases, including diabetes and cardiovascular events. Previous studies suggest that postprandial high blood glucose levels (BGL) can lead to an oxidative stress status, which is associated with metabolic alterations. Cinnamon powder has demonstrated a beneficial effect on postprandial glucose homeostasis in animals and human models. The purpose of this study is to investigate the effect of cinnamon tea (C. burmannii) on postprandial capillary blood glucose level on nondiabetic adults. Participants were given oral glucose tolerance test either with or without cinnamon tea in a randomized clinical trial. The data revealed that cinnamon tea administration slightly decreased postprandial BGL. Cinnamon tea ingestion also results in a significantly lower postprandial maximum glucose concentration and variation of maximum glucose concentration (p< 0.05). Chemical analysis showed that cinnamon tea has a high antioxidant capacity, which may be due to its polyphenol content. The present study provides evidence that cinnamon tea, obtained fromC. burmannii, could be beneficial for controlling glucose metabolism in nondiabetic adults during postprandial period.
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Sutana, Ketut Adi Jaya, Komang Ayu Kartika Sari, and I. Wayan Weta. "Association between blood glucose level with glycemic load, physical activity and compliance to medication among diabetes mellitus (DM) patients in Buleleng District General Hospital, Bali Province." Public Health and Preventive Medicine Archive 5, no. 2 (December 1, 2017): 117. http://dx.doi.org/10.15562/phpma.v5i2.25.

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Background and purpose: The prevalence of diabetes mellitus (DM) in Indonesia is increasing, including in Buleleng District, Bali Province. Studies regarding determinants of blood glucose control in DM patients show varied findings. This study aims to examine association between blood glucose level with physical activity, compliance to medication and glycemic load among DM patients.Methods: A cross-sectional survey was conducted in Buleleng District General Hospital from March to April 2017. A total of 73 patients were concecutively recruited to participate in our study. Data were collected through interview, observation and measurement. Data collected included socio-demographic characteristics, fasting blood glucose level, 1-hour and 2-hour postprandial blood glucose levels, carbohydrate intake, body mass index, glycemic index, glycemic load, physical activity, genetic or family history, and compliance to medication. A bivariate analysis was performed to examine association between independent variables and blood glucose levels. Multivariate analysis was also conducted to calculate adjusted odd ratio using a binary logistic regression.Results: Our study found that blood glucose levels of most respondents were relatively well managed–63% for fasting, 61.6% for 1-hour postprandial, and 63% for 2-hours postprandial. Multivariate analysis revealed that fasting blood glucose level were associated with regular physical activities (AOR=74.09; 95%CI: 7.52-729.69) and compliance to medication (AOR=11.90; 95%CI: 2.24-63.29). Furthermore, 1-hour postprandial blood glucose level were associated with breakfast glycemic load (AOR=0.63; 95%CI: 0.47-0.85) and compliance to medication (AOR=27.29; 95%CI: 2.29-323.95), while 2-hour postprandial blood glucose level were associated with breakfast glycemic load (AOR=0.69; 95%CI: 0.54-0.89) and compliance to medication (AOR=19.81; 95%CI: 2.31-170.14).Conclusions: Factors associated with fasting blood glucose level were regular physical activities and adherence to medication, while 1-hour and 2-hours postprandial blood glucose levels were both influenced by breakfast glycemic load and compliance to medication.
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Putri, Andini Bakti, and Anita Anita. "Obesitas Sentral terhadap Kadar Gula Darah Postprandial pada Pegawai Laki-Laki Dewasa di Lingkungan Kerja." Jurnal Kesehatan 10, no. 3 (November 30, 2019): 445. http://dx.doi.org/10.26630/jk.v10i3.1616.

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<p>Type 2 diabetes patients as much as 80% are overweight (obese). The obesity rate in Lampung province is 8.7%. The lowest prevalence of central obesity is 2.2% in North Lampung and 35.9% is highest in Metro city. Obesity causes changes in body cells to become resistant to the hormone insulin, so that blood levels increase. The effect of it is that insulin-producing cells work harder and become gradually damaged, these are the reason that causes an increase in the number of diabetics. The purpose of this study to determine the relations of central obesity to postprandial blood glucose levels in adult male employees at Lampung University. This research used a cross-sectional approach. The sample of this research is all male employees of Lampung University with ages of 26-45 years determined by consecutive sampling. 65 respondents like to check postprandial blood glucose levels. The data were analyzed by using the Chi-Square test. Most of the respondents had abnormal postprandial blood glucose levels (67.7%) than respondents who had normal postprandial blood glucose levels (32.3%). Based on bivariate analysis with the Chi-square test, the relation of central obesity and postprandial blood glucose levels in male adult employees in Lampung University with a p-value of 0.001. There is a relationship between central obesity in adult male employees and postprandial blood glucose levels at Lampung University.</p>
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Ang, Kim, Carla Bourgy, Haelee Fenton, Ahmed Regina, Marcus Newberry, Dean Diepeveen, Domenico Lafiandra, Sara Grafenauer, Wendy Hunt, and Vicky Solah. "Noodles Made from High Amylose Wheat Flour Attenuate Postprandial Glycaemia in Healthy Adults." Nutrients 12, no. 8 (July 22, 2020): 2171. http://dx.doi.org/10.3390/nu12082171.

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Previous research has not considered the effect of high amylose wheat noodles on postprandial glycaemia. The aim of the study is to investigate the effect of consumption of high amylose noodles on postprandial glycaemia over 2-h periods by monitoring changes in blood glucose concentration and calculating the total area under the blood glucose concentration curve. Twelve healthy young adults were recruited to a repeated measure randomised, single-blinded crossover trial to compare the effect of consuming noodles (180 g) containing 15%, 20% and 45% amylose on postprandial glycaemia. Fasting blood glucose concentrations were taken via finger-prick blood samples. Postprandial blood glucose concentrations were taken at 15, 30, 45, 60, 90 and 120 min. Subjects consuming high amylose noodles made with flour containing 45% amylose had significantly lower blood glucose concentration at 15, 30 and 45 min (5.5 ± 0.11, 6.1 ± 0.11 and 5.6 ± 0.11 mmol/L; p = 0.01) compared to subjects consuming low amylose noodles with 15% amylose (5.8 ± 0.12, 6.6 ± 0.12 and 5.9 ± 0.12 mmol/L). The total area under the blood glucose concentration curve after consumption of high amylose noodles with 45% amylose was 640.4 ± 9.49 mmol/L/min, 3.4% lower than consumption of low amylose noodles with 15% amylose (662.9 ± 9.49 mmol/L/min), p = 0.021. Noodles made from high amylose wheat flour attenuate postprandial glycaemia in healthy young adults, as characterised by the significantly lower blood glucose concentration and a 3.4% reduction in glycaemic response.
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20

Emerson, Sam R., Mark D. Haub, Colby S. Teeman, Stephanie P. Kurti, and Sara K. Rosenkranz. "Summation of blood glucose and TAG to characterise the ‘metabolic load index’." British Journal of Nutrition 116, no. 9 (October 24, 2016): 1553–63. http://dx.doi.org/10.1017/s0007114516003585.

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AbstractResearch points to postprandial glucose and TAG measures as preferable assessments of cardiovascular risk as compared with fasting values. Although elevated postprandial glycaemic and lipaemic responses are thought to substantially increase chronic disease risk, postprandial glycaemia and lipaemia have historically only been considered separately. However, carbohydrates and fats can generally ‘compete’ for clearance from the stomach, small intestine, bloodstream and within the peripheral cell. Further, there are previous data demonstrating that the addition of carbohydrate to a high-fat meal blunts the postprandial lipaemic response, and the addition of fat to a high-carbohydrate meal blunts the postprandial glycaemic response. Thus, postprandial glycaemia and lipaemia are interrelated. The purpose of this brief review is 2-fold: first, to review the current evidence implicating postprandial glycaemia and lipaemia in chronic disease risk, and, second, to examine the possible utility of a single postprandial glycaemic and lipaemic summative value, which will be referred to as the metabolic load index. The potential benefits of the metabolic load index extend to the clinician, patient and researcher.
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21

Coelho, Mariana O. C., Alistair J. Monteyne, Ishara D. Kamalanathan, Vesna Najdanovic-Visak, Tim J. A. Finnigan, Francis B. Stephens, and Benjamin T. Wall. "Short-Communication: Ingestion of a Nucleotide-Rich Mixed Meal Increases Serum Uric Acid Concentrations but Does Not Affect Postprandial Blood Glucose or Serum Insulin Responses in Young Adults." Nutrients 12, no. 4 (April 17, 2020): 1115. http://dx.doi.org/10.3390/nu12041115.

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Circulating uric acid concentrations have been linked to various metabolic diseases. Consumption of large boluses of nucleotides increases serum uric acid concentrations. We investigated the effect of a nucleotide-rich mixed meal on postprandial circulating uric acid, glucose, and insulin responses. Ten healthy adults participated in a randomised, controlled, double-blind, crossover trial in which they consumed a mixed-meal containing either nucleotide-depleted mycoprotein (L-NU) or high-nucleotide mycoprotein (H-NU) on two separate visits. Blood samples were collected in the postabsorptive state and throughout a 24 h postprandial period, and were used to determine circulating uric acid, glucose, and insulin concentrations. Mixed meal ingestion had divergent effects on serum uric acid concentrations across conditions (time x condition interaction; P < 0.001), with L-NU decreasing transiently (from 45 to 240 min postprandially) by ~7% (from 279 ± 16 to 257 ± 14 µmol·L−1) and H-NU resulting in a ~12% increase (from 284 ± 13 to 319 ± 12 µmol·L−1 after 210 min), remaining elevated for 12 h and returning to baseline concentrations after 24 h. There were no differences between conditions in blood glucose or serum insulin responses, nor in indices of insulin sensitivity. The ingestion of a nucleotide-rich mixed-meal increases serum uric acid concentrations for ~12 h, but does not influence postprandial blood glucose or serum insulin concentrations.
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22

Heruc, Gabriella A., Tanya J. Little, Michael R. Kohn, Sloane Madden, Simon D. Clarke, Michael Horowitz, and Christine Feinle-Bisset. "Effects of starvation and short-term refeeding on gastric emptying and postprandial blood glucose regulation in adolescent girls with anorexia nervosa." American Journal of Physiology-Endocrinology and Metabolism 315, no. 4 (October 1, 2018): E565—E573. http://dx.doi.org/10.1152/ajpendo.00149.2018.

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Postprandial glucose is reduced in malnourished patients with anorexia nervosa (AN), but the mechanisms and duration for this remain unclear. We examined blood glucose, gastric emptying, and glucoregulatory hormone changes in malnourished patients with AN and during 2 wk of acute refeeding compared with healthy controls (HCs). Twenty-two female adolescents with AN and 17 age-matched female HCs were assessed after a 4-h fast. Patients were commenced on a refeeding protocol of 2,400 kcal/day. Gastric emptying (13C-octanoate breath test), glucose absorption (3-O-methylglucose), blood glucose, plasma glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), insulin, C-peptide, and glucagon responses to a mixed-nutrient test meal were measured on admission and 1 and 2 wk after refeeding. HCs were assessed once. On admission, patients had slower gastric emptying, lower postprandial glucose and insulin, and higher glucagon and GLP-1 than HCs ( P < 0.05). In patients with AN, the rise in glucose (0–30 min) correlated with gastric emptying ( P < 0.05). With refeeding, postprandial glucose and 3-O-methylglucose were higher, gastric emptying faster, and baseline insulin and C-peptide less ( P < 0.05), compared with admission. After 2 wk of refeeding, postprandial glucose remained lower, and glucagon and GLP-1 higher, in patients with AN than HCs ( P < 0.05) without differences in gastric emptying, baseline glucagon, or postprandial insulin. Delayed gastric emptying may underlie reduced postprandial glucose in starved patients with AN; however, postprandial glucose and glucoregulatory hormone changes persist after 2 wk of refeeding despite improved gastric emptying. Future research should explore whether reduced postprandial glucose in AN is related to medical risk by examining associated symptoms alongside continuous glucose monitoring during refeeding.
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23

Mineshita, Yui, Hiroyuki Sasaki, Hyeon-ki Kim, and Shigenobu Shibata. "Relationship between Fasting and Postprandial Glucose Levels and the Gut Microbiota." Metabolites 12, no. 7 (July 20, 2022): 669. http://dx.doi.org/10.3390/metabo12070669.

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Postprandial hyperglycemia increases the risk of mortality among patients with type 2 diabetes and cardiovascular diseases. Additionally, the gut microbiota and type 2 diabetes and cardio-vascular disease are known to be correlated. Currently, fasting blood glucose is the primary in-dex for the clinical diagnosis of diabetes; however, postprandial blood glucose is associated with the risk of developing type 2 diabetes and cardiovascular disease and mortality. Therefore, the dynamic change in blood glucose levels under free-living conditions is considered an important and better marker than fasting glucose levels to study the relationship between glucose levels and microbiota. Here, we investigated the relationship between fasting and postprandial glucose levels and microbiota under free-living conditions for one week in older adults. In addition, in order to clarify the relationship between blood glucose level and intestinal bacteria, postprandial 4-h AUC was calculated and the correlation with gut bacteria was investigated. As a result of the present study, we observed many of the most significant correlations between the gut bacteria and the peak glucose levels after dinner and the 4-h AUC after dinner. Together, these findings suggest that the individual pattern of microbiota may help to predict post-dinner hyperglycemia and the risk of abnormal glucose metabolism, such as diabetes.
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Murray, Margaret, Aimee Dordevic, Lisa Ryan, and Maxine Bonham. "A Single-Dose of a Polyphenol-Rich Fucus Vesiculosus Extract is Insufficient to Blunt the Elevated Postprandial Blood Glucose Responses Exhibited by Healthy Adults in the Evening: A Randomised Crossover Trial." Antioxidants 8, no. 2 (February 24, 2019): 49. http://dx.doi.org/10.3390/antiox8020049.

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When healthy adults consume carbohydrates at night, postprandial blood glucose responses are elevated and prolonged compared to daytime.Extended postprandial hyperglycaemia is a risk factor for type 2 diabetes. Polyphenols are bioactive secondary metabolites of plants and algae with potential to moderate postprandial glycaemia. This study investigated whether a polyphenol-rich alga (Fucus vesiculosus) extract moderated postprandial glycaemia in the evening in healthy adults. In a double blind, placebo-controlled, randomised three-way crossover trial, 18 participants consumed a polyphenol-rich extract, a cellulose placebo and rice flour placebo (7:15 p.m.) prior to 50 g available carbohydrate from bread (7:45 p.m.), followed by three hours of blood sampling to assess glucose and insulin. A subset of participants (n = 8) completed the same protocol once in the morning with only the cellulose placebo (7:15 a.m.). No effect of the polyphenol-rich extract was observed on postprandial glycaemia in the evening, compared with placebos, in the group as a whole. However, in females only, peak blood glucose concentration was reduced following the polyphenol-rich extract. In the subset analysis, as expected, participants exhibited elevated postprandial blood glucose in the evening compared with the morning following the cellulose placebo. This was the first study to investigate whether a polyphenol intervention moderated evening postprandial hyperglycaemia. The lowering effect observed in females suggests that this warrants further investigation.
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25

Childs, B. P., N. C. Kesty, E. Klein, R. Rubin, and A. Wick. "Considering Pramlintide Therapy for Postprandial Blood Glucose Control." Diabetes Spectrum 20, no. 2 (April 1, 2007): 108–14. http://dx.doi.org/10.2337/diaspect.20.2.108.

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26

Festa, A. "Postprandial blood glucose excursions and low-grade inflammation." International Journal of Clinical Practice 58 (August 27, 2004): 25–28. http://dx.doi.org/10.1111/j.1368-504x.2004.00322.x.

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27

Hayashi, K., T. Hayashi, S. Iwanaga, K. Kawai, H. Ishii, S. 'i Shoji, and K. Murakami. "Laughter Lowered the Increase in Postprandial Blood Glucose." Diabetes Care 26, no. 5 (May 1, 2003): 1651–52. http://dx.doi.org/10.2337/diacare.26.5.1651.

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28

Jones, K., M. Horowitz, M. Berry, J. Wishart, and S. Guha. "Blood Glucose Concentration Influences Postprandial Fullness in IDDM." Diabetes Care 20, no. 7 (July 1, 1997): 1141–46. http://dx.doi.org/10.2337/diacare.20.7.1141.

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29

Moore, Jeff, Jochen Kressler, and Michael Buono. "Hand Heating Lowers Fasting And Postprandial Blood Glucose." Medicine & Science in Sports & Exercise 52, no. 7S (July 2020): 598. http://dx.doi.org/10.1249/01.mss.0000680752.28830.ff.

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30

Sari, Mutiara Indah, Nisrina Sari, Dewi Masyithah Darlan, and Raka Jati Prasetya. "Cigarette Smoking and Hyperglycaemia in Diabetic Patients." Open Access Macedonian Journal of Medical Sciences 6, no. 4 (April 8, 2018): 634–37. http://dx.doi.org/10.3889/oamjms.2018.140.

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BACKGROUND: The incidence rate of diabetes mellitus has increased throughout the year. Various studies indicate that smoking may affect glucose metabolism and cause hyperglycemia in diabetes mellitus. This study aimed to compare the blood glucose and HbA1c level in diabetic smoking patients and non-smoking diabetic patients.METHODS: This study used the cross-sectional approach. The study population consisted of 30 diabetic smoking patients and 30 non-smoking diabetic patients. The diabetes history and the smoking status of the study population obtained by questionnaire-based interview, the blood glucose and HbA1c level were measured by hexokinase and immunoturbidimetry method using cobas 6000 analyser module c501 (Roche Diagnostics, Switzerland).RESULTS: The result in this study showed the fasting blood glucose, postprandial blood glucose, and HbA1c were higher by 23.64 mg/dl (p = 0.325), 58.00 mg/dl (p = 0.016), 0.39% (p = 0.412) in smoking diabetic patients compared to non-smoking diabetic patients. After statistical analysis, there was a significant difference (p < 0.05) of postprandial glucose level between smokers group and non-smokers group, but the non-significant difference of fasting blood glucose and HbA1cCONCLUSIONS: This study concluded that there was a significant difference in postprandial glucose level between smokers group and non-smokers group but the non-significant difference of fasting blood glucose and HbA1c.
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NERY-NETO, Jose A., Andrew O. SANTOS, Larissa C. SILVA, Elison C. HOLANDA, Maria C. BRITO, Lorena A. LIMA, Jonas N. SOUSA, and Carla E. DOURADO. "Glycemic control in diabetes mellitus in patients assisted by a university hospital in the state of Piauí (Brazil)." Revista Brasileira de Farmácia Hospitalar e Serviços de Saúde 11, no. 4 (December 19, 2020): 505. http://dx.doi.org/10.30968/rbfhss.2020.114.0505.

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Objectives: To investigate glycemic control in outpatient clinics at a university hospital, as well as to correlate HbA1c with fasting glucose and post-prandial glycemia, in order to assess which variable best correlates with an HbA1c. Methods: This is a descriptive cross-sectional study, with data that were collected from electronic medical records, from the random consultation of the medical of the blood glucose measurement. To check glycemic control, the parameters defined by the Brazilian Diabetes Society (2017-2018) were used: fasting glucose <100 mg / dL, HbA1c <7% and postprandial glucose <160 mg / dL. A statistical analysis was performed with the aid of the SPSS® program (version 13.0), adopting p <0.05 as the level of statistical significance. Results: 250 medical records were applied, with the average age of the participants being 60.1 ± 12.9 years (87 men and 163 women). A fasting glycemia was altered beyond the recommended in 80.8% of the individuals evaluated, HbA1c in 45.2% of the cases and 66% of the participants in the study possessed postprandial glycemia in addition to the recommended goals. The correlation between HbA1c/fasting blood glucose (rs= 0.74) and HbA1c/postprandial blood glucose (rs = 0.60) was, respectively, strong and moderate. Conclusions: With this study, it was possible to verify that a significant portion of the limits of use did not have good glycemic control. The correlation between fasting glucose and HbA1c confirmed that HbA1c is the best parameter for monitoring blood glucose levels in diabetes mellitus. In addition, the fasting blood glucose / HbA1c correlation showed greater strength in the postprandial blood glucose / HbA1c correlation.
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Li, Yan, Xi Wang, and Ying Zhang. "Clinical Effects of Exercise Rehabilitation Combined with Repaglinide in the Treatment of Diabetes." Disease Markers 2022 (March 25, 2022): 1–5. http://dx.doi.org/10.1155/2022/6309188.

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Objective. Diabetes, a common endocrine and metabolic disease in clinical practice, generally manifests a certain defect in insulin secretion due to several factors, thereafter leading to a metabolic disorder such as hyperglycemia. This study was conducted to explore the clinical effects of repaglinide combined with exercise rehabilitation on improving the blood glucose of patients with diabetes. Methods. In this retrospective study, 100 patients with diabetes treated in our hospital from January 2018 to January 2020 were assessed for eligibility and recruited. They were assigned at a ratio of 1 : 1 to receive either repaglinide (control group) or repaglinide plus exercise rehabilitation (experimental group). Outcome measures include fasting blood glucose, 2 h postprandial blood glucose, glycosylated hemoglobin, time to normal blood glucose, blood glucose fluctuation, insulin dosage, adverse reactions, and blood glucose adequate rate. Results. All eligible patients showed similar pretreatment fasting blood glucose, glycosylated hemoglobin, and 2 h postprandial blood glucose ( P > 0.05 ). After treatment, repaglinide plus exercise rehabilitation resulted in lower levels of fasting blood glucose, glycosylated hemoglobin, and 2 h postprandial blood glucose versus repaglinide alone ( P < 0.05 ). Repaglinide plus exercise rehabilitation was associated with a significantly shorter time to normal blood glucose and a milder fluctuation versus repaglinide ( P < 0.05 ). The incidence of adverse reactions and blood glucose adequate rate was 6% and 94% in the experimental group and 50% and 52% in the control group, respectively ( P < 0.05 ). Conclusion. Repaglinide plus exercise rehabilitation results in effective blood glucose control and reduced incidence of adverse reactions and yields a promising efficacy, so it is worthy of clinical promotion and application.
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Zhang, Yiyu, Chaoyuan Liu, Shuoming Luo, Jin Huang, Yuxin Yang, Xiao Ma, Xia Li, and Zhiguang Zhou. "Effectiveness of the Family Portal Function on the Lilly Connected Care Program (LCCP) for Patients With Type 2 Diabetes: Retrospective Cohort Study With Propensity Score Matching." JMIR mHealth and uHealth 9, no. 2 (February 5, 2021): e25122. http://dx.doi.org/10.2196/25122.

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Background Diabetes is a major health concern worldwide. Family member engagement in diabetes self-management education programs can improve patients’ diabetes management. However, there is limited evidence that the family portal on diabetes management apps is effective in the glycemic control of patients with diabetes. Objective We aimed to evaluate the effectiveness of family support through the family portal function on Lilly Connected Care Program (LCCP) platform. Methods This retrospective cohort study included patients with type 2 diabetes recruited to the LCCP platform from September 1, 2018, to August 31, 2019. Propensity score matching was used to match family (group A) and non–family (group B) portal use groups with similar baseline characteristics. The patients were followed up with for 12 weeks. The main objectives were differences in mean fasting blood glucose, proportion of patients achieving fasting blood glucose target <7mmol/L, mean postprandial blood glucose, proportion of patients achieving postprandial blood glucose target <10mmol/L, proportion of patients achieving both fasting blood glucose <7mmol/L and postprandial blood glucose <10mmol/L, self-monitoring of blood glucose frequency at week 12 and the number of diabetes education courses patients completed during the 12 weeks. Moreover, logistic regression analysis was used to explore the baseline factors which may be associated with the use of family portal, and odds ratios with 95% confidence intervals were calculated. Results A total of 6582 adult patients (aged ≥18 years) with type 2 diabetes who were receiving insulin therapy were enrolled in the study. Overall, 6.1% (402/6582) of the patients chose to engage their family members to use the family portal. Two groups of 394 patients were well-matched regarding baseline characteristics. After matching, mean fasting blood glucose and postprandial blood glucose at week 12 were significantly lower in group A than in group B (fasting blood glucose: 7.12 mmol/L, SD 1.70 vs 7.42 mmol/L, SD 1.88, respectively, P=.02; postprandial blood glucose: 8.56 mmol/L, SD 2.51 vs 9.10 mmol/L, SD 2.69, respectively, P=.002). When comparing group A to group B, the proportion of patients achieving both fasting blood glucose <7mmol and postprandial blood glucose <10mmol/L at week 12 (46.8% vs 39.4%, respectively, P=.04), self-monitoring of blood glucose frequency at week 12 (8.92 times per week, SD 6.77 vs 8.02 times per week, SD 5.97, respectively, P=.05) and number of diabetes education courses completed in 12 weeks (23.00, IQR9.00-38.00 vs 15.00, IQR 4.00-36.00, respectively, P<.001) was higher. Additionally, multivariate logistic regression analysis showed that higher age (OR=0.987, 95% CI 0.978-0.996, P=.006) and higher baseline fasting blood glucose (OR=0.914, 95% CI 0.859-0.972, P=.004) were correlated with less use of the family portal function, while increased baseline self-monitoring of blood glucose frequency (OR=1.022, 95% CI 1.012-1.032], P<.001) as well as increased education courses (OR=1.026, 95% CI 1.015-1.036, P<.001) were associated with more use of the family portal function. Conclusions Family support through the LCCP family portal is effective for glycemic control and self-management behavior improvement in type 2 diabetes patients.
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Zisser, Howard, Cesar C. Palerm, Wendy C. Bevier, Francis J. Doyle, and Lois Jovanovic. "Clinical Update on Optimal Prandial Insulin Dosing Using a Refined Run-to-Run Control Algorithm." Journal of Diabetes Science and Technology 3, no. 3 (May 2009): 487–91. http://dx.doi.org/10.1177/193229680900300312.

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Background: This article provides a clinical update using a novel run-to-run algorithm to optimize prandial insulin dosing based on sparse glucose measurements from the previous day's meals. The objective was to use a refined run-to-run algorithm to calculate prandial insulin-to-carbohydrate ratios (I:CHO) for meals of variable carbohydrate content in subjects with type 1 diabetes (T1DM). Method: The open-labeled, nonrandomized study took place over a 6-week period in a nonprofit research center. Nine subjects with T1DM using continuous subcutaneous insulin infusion participated. Basal insulin rates were optimized using continuous glucose monitoring, with a target fasting blood glucose of 90 mg/dl. Subjects monitored blood glucose concentration at the beginning of the meal and at 60 and 120 minutes after the start of the meal. They were instructed to start meals with blood glucose levels between 70 and 130 mg/dl. Subjects were contacted daily to collect data for the previous 24-hour period and to give them the physician-approved, algorithm-derived I:CHO ratios for the next 24 hours. Subjects calculated the amount of the insulin bolus for each meal based on the corresponding I:CHO and their estimate of the meal's carbohydrate content. One- and 2-hour postprandial glucose concentrations served as the main outcome measures. Results: The mean 1-hour postprandial blood glucose level was 104 ± 19 mg/dl. The 2-hour postprandial levels (96.5 ± 18 mg/dl) approached the preprandial levels (90.1 ± 13 mg/dl). Conclusions: Run-to-run algorithms are able to improve postprandial blood glucose levels in subjects with T1DM.
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Innami, Satoshi, Hiroshi Ishida, Kahoru Nakamura, Mika Kondo, Kimiko Tabata, Takashi Koguchi, Jun Shimizu, and Tadasu Furusho. "Jew's Mellow Leaves (Corchorus olitorius) Suppress Elevation of Postprandial Blood Glucose Levels in Rats and Humans." International Journal for Vitamin and Nutrition Research 75, no. 1 (January 1, 2005): 39–46. http://dx.doi.org/10.1024/0300-9831.75.1.39.

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The study was performed to explore the suppressive effect of Jew's mellow leaves (JML) on postprandial blood glucose levels in rats and humans. A soluble dietary fiber (SDF) was extracted from the freeze-dried JML powder. An elevation of the postprandial blood glucose level in rats given 1% or 2% JML-SDF solution orally together with 20% glucose solution was significantly suppressed as compared with that observed in the control rats given only glucose solution. When seven healthy young male adults ingested 225 mL of JML mixed juice containing 15 g of freeze-dried powder with 75 g of glucose in the fasting state in the morning, the elevation of the postprandial blood glucose level was significantly suppressed as compared with the control subjects. The diffusion rate of glucose and the permeation rate of glucose in the cultured Caco-2 cells were both significantly reduced by the addition of appropriate amounts of JML-SDF when compared to the controls. These results indicate that the effective substance in JML for suppressing blood glucose elevation is a kind of mucilaginous SDF. The mechanism by which this suppression occurs may be largely attributable to the delayed absorption of glucose from the intestinal membrane in the upper digestive tract by viscous SDF.
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Schoenberger, Jennifer Leung, Chung-Kay Koh, Tiffany Hor, David Baldwin, Arati Reddy, and Lara Rondinelli-Hamilton. "Insulin in the Medical Management of Postprandial Hypoglycemia in a Patient with Type 2 Diabetes after Gastric Bypass Surgery." Case Reports in Endocrinology 2012 (2012): 1–4. http://dx.doi.org/10.1155/2012/427565.

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Objective. We evaluated a 47-year-old woman with a history of type 2 diabetes and severe obesity who developed postprandial hypoglycemia after undergoing Roux-en-Y gastric bypass surgery and losing 60% of her total body weight. We studied her insulin secretion and blood glucose dynamics and were able to tailor a therapeutic regimen involving insulin that eliminated episodes of hypoglycemia.Methods. We studied blood glucose levels during a prolonged fast, performed continuous glucose monitoring studies using a subcutaneous glucose sensor, and evaluated regional pancreatic insulin secretion using selective arterial calcium stimulation.Results. Continuous glucose monitoring revealed that the patient had early (1-2 hr) postprandial hyperglycemia followed by late (3-4 hr) postprandial hypoglycemia. Biochemical studies confirmed endogenous pancreatogenous insulin secretion as the cause of episodic hypoglycemia, but imaging studies and selective arterial calcium stimulation failed to localize an insulinoma. The patient was treated with preprandial doses of insulin aspart in order to attenuate the early postprandial hyperglycemia, and the late hypoglycemic episodes were avoided.Conclusion. We describe an interesting and novel nonsurgical approach to the prevention of postprandial hypoglycemia in a patient with noninsulinoma pancreatogenous hypoglycemia after gastric bypass.
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Yamabe, Noriko, Ki Sung Kang, Woojung Lee, Su-Nam Kim, and Bao Ting Zhu. "Estriol blunts postprandial blood glucose rise in male rats through regulating intestinal glucose transporters." American Journal of Physiology-Endocrinology and Metabolism 308, no. 5 (March 1, 2015): E370—E379. http://dx.doi.org/10.1152/ajpendo.00209.2013.

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Despite increased total food intake in healthy, late-stage pregnant women, their peak postprandial blood sugar levels are normally much lower than the levels seen in healthy nonpregnant women. In this study, we sought to determine whether estriol (E3), an endogenous estrogen predominantly produced during human pregnancy, contributes to the regulation of the postprandial blood glucose level in healthy normal rats. In vivo studies using rats showed that E3 blunted the speed and magnitude of the blood glucose rise following oral glucose administration, but it did not appear to affect the total amount of glucose absorbed. E3 also did not affect insulin secretion, but it significantly reduced the rate of intestinal glucose transport compared with vehicle-treated animals. Consistent with this finding, expression of the sodium-dependent glucose transporter 1 and 2 was significantly downregulated by E3 treatment in the brush-border membrane and basolateral membrane, respectively, of enterocytes. Most of the observed in vivo effects were noticeably stronger with E3 than with 17β-estradiol. Using differentiated human Caco-2 enterocyte monolayer culture as an in vitro model, we confirmed that E3 at physiologically relevant concentrations could directly inhibit glucose uptake via suppression of glucose transporter 2 expression, whereas 17β-estradiol did not have a similar effect. Collectively, these data showed that E3 can blunt the postprandial glycemic surge in rats through modulating the level of intestinal glucose transporters.
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38

Gu, Cuifeng, Guojian He, and Chenhong Lin. "EVALUATION OF HIGH LEVELS OF SPORTS ACTIVITY AND THE BENEFICIAL EFFECT ON POSTPRANDIAL BLOOD GLUCOSE PROFILES." Revista Brasileira de Medicina do Esporte 28, no. 5 (October 2022): 465–68. http://dx.doi.org/10.1590/1517-8692202228052022_127.

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ABSTRACT Introduction: Hyperglycemia is the principal characteristic component of type 2 diabetes. High blood glucose concentrations for long periods can be countered with postprandial exercise by increasing glucose retention involuntary muscles. However, no research is present on the relationship between exercise time and glucose levels. Objective: This study evaluates the relationship between sports activity and postprandial glycemia levels. Methodology: Forty-five individuals were included in the study, 10 males and 35 females with an age of 27.11±2.8 years; a body fat percentage of 25.02% ±5.04%; and a body mass index of 22.74±4.55 kg/m2. Participants were included via WhatsApp for daily information on postprandial activity levels. WhatsApp messages were forwarded to a total of 2,500 people at different colleges and universities. Out of the total 60 active people (2.40%) who responded, 45 individuals participated in the study. They were divided into three categories based on self-reported postprandial activity: not very active (15), quite active (15), highly active (15). All active individuals completed an oral glucose intake test with blood samples obtained for evaluation at 15, 30, 45, 60, 90, and 120 minutes post-rest. On a gender basis, the groups could not be associated (P =.057). Results: All active groups showed a remarkable effect on blood glucose level at one hour (P =.031). A mean increase in blood glucose level in the first hour of 1.50 mmol/L was observed for every extra 1.0 mmol/L of standard glycemic amount, on average, women had a higher blood glucose amount of 1.35 mmol/L than men. Conclusion: It can be concluded that a high amount of postprandial activity generates a good outcome on glycemic parameters. Evidence Level II; Therapeutic Studies – Investigating the results.
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Major-Pedersen, A., N. Ihlemann, T. S. Hermann, B. Christiansen, H. Dominguez, B. Kveiborg, D. B. Nielsen, O. L. Svendsen, L. Køber, and C. Torp-Pedersen. "Effects of Oral Glucose Load on Endothelial Function and on Insulin and Glucose Fluctuations in Healthy Individuals." Experimental Diabetes Research 2008 (2008): 1–6. http://dx.doi.org/10.1155/2008/672021.

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Background/aims. Postprandial hyperglycemia, an independent risk factor for cardiovascular disease, is accompanied by endothelial dysfunction. We studied the effect of oral glucose load on insulin and glucose fluctuations, and on postprandial endothelial function in healthy individuals in order to better understand and cope with the postprandial state in insulin resistant individuals.Methods. We assessed post-oral glucose load endothelial function (flow mediated dilation), plasma insulin, and blood glucose in 9 healthy subjects.Results. The largest increases in delta FMD values (fasting FMD value subtracted from postprandial FMD value) occurred at 3 hours after both glucose or placebo load, respectively:4.80±1.41(P= .009) and2.34±1.47(P= .15). Glucose and insulin concentrations achieved maximum peaks at one hour post-glucose load.Conclusion. Oral glucose load does not induce endothelial dysfunction in healthy individuals with mean insulin and glucose values of 5.6 mmol/L and 27.2 mmol/L, respectively, 2 hours after glucose load.
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Bodnaruc, Alexandra M., Denis Prud’homme, and Isabelle Giroux. "Acute effects of an isocaloric macronutrient-matched breakfast meal containing almonds on glycemic, hormonal, and appetite responses in men with type 2 diabetes: a randomized crossover study." Applied Physiology, Nutrition, and Metabolism 45, no. 5 (May 2020): 520–29. http://dx.doi.org/10.1139/apnm-2019-0559.

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This randomized crossover study assessed the acute effects of almonds on postprandial glycemic, hormonal, and appetite responses in a sample of 7 men with type 2 diabetes (T2D). Participants completed 2 experimental visits during which a control (white bread, butter, cheese) and a test (white bread, almonds) meal were ingested. Energy, available carbohydrate, total lipid, and protein content were the same in both meals. Blood samples were collected in fasting state as well as 15, 30, 60, 90, 120, and 240 min postprandially for quantifying blood glucose, as well as insulin and glucagon-like peptide-1 (GLP-1) serum concentrations. Subjective appetite sensations were assessed using visual analog scales at the same time-points. Within this sample of participants, the test meal was found to be associated with lower postprandial glycemia and insulinemia, higher GLP-1 serum concentrations, decreased hunger and desire to eat, and increased fullness. The test meal was also associated with an increased estimated glucose metabolic clearance rate, indicating higher postprandial insulin sensitivity. Overall, results suggest that almonds’ macronutrient subtype profile could have a beneficial impact on postprandial glycemic, hormonal, and appetite responses in men with T2D. Studies with larger sample sizes are warranted to confirm these findings. Novelty A meal containing almonds (vs. isocaloric macronutrient-matched control) induced lower glycemic and insulinemic responses. A meal containing almonds (vs. isocaloric macronutrient-matched control) induced a greater elevation in postprandial GLP-1 serum concentrations. A meal containing almonds (vs. isocaloric macronutrient-matched control) induced more favourable postprandial appetite responses.
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Nygaard, Håvard, Sissel Erland Tomten, and Arne Torbjørn Høstmark. "Slow postmeal walking reduces postprandial glycemia in middle-aged women." Applied Physiology, Nutrition, and Metabolism 34, no. 6 (December 2009): 1087–92. http://dx.doi.org/10.1139/h09-110.

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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.
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Wang, Yannian, Fenfen Wei, Changqing Sun, and Quanzhong Li. "The Research of Improved Grey GM (1, 1) Model to Predict the Postprandial Glucose in Type 2 Diabetes." BioMed Research International 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/6837052.

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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.
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Musa-Veloso, Kathy, Theresa Poon, Laura S. Harkness, Marianne O'Shea, and YiFang Chu. "The effects of whole-grain compared with refined wheat, rice, and rye on the postprandial blood glucose response: a systematic review and meta-analysis of randomized controlled trials." American Journal of Clinical Nutrition 108, no. 4 (October 1, 2018): 759–74. http://dx.doi.org/10.1093/ajcn/nqy112.

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Abstract Background Whole grains are often referred to collectively, despite differences in their composition, physical structure, processing, and potential health benefits. Objective The aim of this study was to compare the postprandial blood glucose response of whole-grain with refined wheat, rice, or rye, while controlling for the food delivery matrix and the processing of the grain (e.g., grinding, germination). Design Eleven electronic databases were systematically searched to identify studies published up to and including November 2017. Randomized controlled trials comparing the effects of whole-grain wheat, rice, or rye with those of each grain's refined counterpart on postprandial blood glucose area under the curve (AUC) were included. Pooled effect sizes were computed by using the difference in the blood glucose AUC after the consumption of the whole compared with the refined grain. Results Twenty publications were included, with 10, 14, and 5 strata (or active-control comparisons) on whole-grain wheat, rice, and rye, respectively. The consumption of ground (wholemeal) wheat, compared with white wheat, was not associated with a significant reduction in blood glucose AUC (−6.7 mmol/L ⋅ min; 95% CI: −25.1, 11.7 mmol/L ⋅ min; P = 0.477). The consumption of wholemeal rye, compared with endosperm rye, was not associated with a significant reduction in blood glucose AUC (−5.5 mmol/L ⋅ min; 95% CI: −24.8, 13.8 mmol/L ⋅ min; P = 0.576). The consumption of intact (whole-grain) rice, compared with white rice, was associated with a significant reduction in blood glucose AUC (−40.5 mmol/L ⋅ min; 95% CI: −59.6, −21.3 mmol/L ⋅ min; P < 0.001). Conclusions Compared with white rice, whole-grain rice significantly attenuates the postprandial blood glucose response. In most of the studies on wheat and rye, the postprandial blood glucose responses to foods formulated with wholemeal compared with refined flours were compared. Whether reductions in the blood glucose AUC can be achieved with whole-grain (as opposed to wholemeal) wheat and rye requires further investigation.
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Oliveira, Barbara, Kaja Falkenhain, and Jonathan P. Little. "Sugar-Free Dark Chocolate Consumption Results in Lower Blood Glucose in Adults With Diabetes." Nutrition and Metabolic Insights 15 (January 2022): 117863882210769. http://dx.doi.org/10.1177/11786388221076962.

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Diabetes is characterized by an impaired ability to appropriately control blood glucose. Postprandial hyperglycemia, in particular, is associated with complications in people with type 1 diabetes (T1D) and type 2 diabetes (T2D). The objective of this study was to determine how sugar-free dark chocolate sweetened with stevia, erythritol, and inulin impacts postprandial blood glucose levels in individuals with diabetes compared to conventional dark chocolate. In a randomized crossover design, 13 participants consumed 1 bar (34 g) of sugar-free dark chocolate or 1 bar (34 g) of conventional dark chocolate with glucose levels measured before and throughout a 120-min postprandial period. The incremental area under the curve (iAUC) was lower after the consumption of sugar-free dark chocolate (−65%, P = .04) compared to conventional dark chocolate. No significant differences between chocolates were found for peak glucose value above baseline, the total area under the curve, or peak glucose values. Our results suggest that a sugar-free dark chocolate bar sweetened with stevia, erythritol and inulin led to a lower blood glucose iAUC compared to the conventional dark chocolate bar in people with diabetes, whilst longer-term effects on glucose control remain to be determined.
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45

Ochola, Lucy A., David G. Nyamu, Eric M. Guantai, and Irene W. Weru. "Metformin's effectiveness in preventing prednisone-induced hyperglycemia in hematological cancers." Journal of Oncology Pharmacy Practice 26, no. 4 (September 7, 2019): 823–34. http://dx.doi.org/10.1177/1078155219873048.

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Background Research has established the development of steroid-induced hyperglycemia as a glucometabolic side effect of high-dose prednisone therapy. Few studies, however, have demonstrated preventative measures that could effectively curtail this side effect in susceptible patients undergoing high-dose prednisone treatment. Objective To assess metformin's prophylactic effectiveness of prednisone-induced hyperglycemia among hematological cancer patients. Setting Prospective randomized controlled trial conducted at the Kenyatta National Hospital Oncology Clinic and Wards, Nairobi, Kenya. Method Non-hyperglycemic hematological cancer patients on current or newly initiated high-dose prednisone-based chemotherapy were randomized to receive metformin 850 mg once then 850 mg twice daily for two successive weeks each or to the control group receiving the standard care. Patients were subjected to once weekly fasting and 2-h postprandial glucose measurements for four weeks. Main outcome measure The primary outcome of measure was the development of hyperglycemia defined by fasting capillary blood glucose values >5.6 mmol/L or 2-h postprandial capillary blood glucose values >7.8 mmol/L. Results Eighteen of 24 randomized patients completed the study (11 control and 7 treatment). The proportion of the control subjects that developed prediabetes was 72.7% (95% confidence interval 45.5–90.9%) using fasting glucose and 54.5% (95% confidence interval 27.3–81.8%) using 2-h postprandial glucose. One treatment group participant developed prediabetes using fasting glucose, representing 14.3% (95% confidence interval 0–42.9%). No prediabetes was detected using the 2-h postprandial glucose. Analysis of mean fasting glucose between the two arms found no significant difference. However, significant differences in mean 2-h postprandial glucose were noted in week 2 ( p = 0.0144), week 3 ( p = 0.0095), and week 4 ( p = 0.0074) of the study. Double dose (1700 mg) metformin was more effective in lowering blood glucose than single dose (850 mg) ( p = 1.0000 (fasting), p = 0.4531(2-h postprandial). Conclusion Metformin's prophylactic effectiveness was demonstrated in this randomized study on new and previously exposed non-diabetic cancer patients on high-dose prednisone-based chemotherapy.
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Innocent, David Chinaecherem, Advait Vasavada, and Angelica Chinecherem Uwaezuoke. "Metformin Versus Glyburide in the Management of Gestational Diabetes; A Systematic Review and Meta-Analysis." International Journal of Science and Healthcare Research 7, no. 3 (September 19, 2022): 336–44. http://dx.doi.org/10.52403/ijshr.20220746.

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Background: Globally gestational diabetes remains one most common medical problem facing a significant proportion of women in pregnancy. Understanding safe therapeutic and management measures is imperative to inform effective and sound decision and judgment for clinicians and concerned groups. Aim: This review aimed to compare the effectiveness and safety of Metformin versus Glyburide in managing gestational diabetes mellitus (GDM). Methods: Cochrane Library, PUBMED, MEDLINE and LILACs were subjected to literature search for randomized controlled trials addressing the primary aim of this study. The Key used for the search strategy was: “Metformin”, “Glyburide”, ‘Gestational Diabetes” and other varying terms from Medical subject Headings. The review systematized a PRISMA Checklist and demonstrated Meta analyzed studies mathematically on weight gain after using glyburide and metformin during and after pregnancy, fasting blood glucose, birthweight and postprandial blood glucose. Results: Neonatal hypoglycaemia, mode of delivery, birth weight, Apgar score, weight during and after pregnancy, postprandial blood glucose and requirement for intensive care were all assessed in the study. In 60% of the studies safety and efficacy of glyburide and metformin diabetes management showed no significant difference. From postprandial blood glucose (P=0.217), birth weight (p=0.194), and fasting blood glucose (p=0.821) revealed no statistical differences between the medications in the meta analysis conducted. However, on the other hand, weight growth during pregnancy among patients revealed significant variations (p=0.036). Conclusion: Both metformin and glyburide showed no differences in safety and efficacy considering birth weight, fasting blood glucose and postprandial blood glucose. However, in babies of women treated with metformin, problems associated with neonates such as respiratory issues and hypoglycemia and also increase in weight during pregnancy or gestation are more less common and lower. Keywords: Diabetes, Therapy, Metformin, Glyburide, Gestational Diabetes Mellitus
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Van Amelsvoort, J. M. M., P. Van Stratum, J. H. Kraal, R. N. Lussenburg, and U. M. T. Houtsmuller. "Effects of varying the carbohydrate: fat ratio in a hot lunch on postprandial variables in male volunteers." British Journal of Nutrition 61, no. 2 (March 1989): 267–83. http://dx.doi.org/10.1079/bjn19890115.

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1. Healthy male volunteers consumed at noon, hot test meals with four different carbohydrate: fat ratios varying between 2.64 and 0.50, and composed of fried beefsteak, mashed potatoes, French beans, and a dessert of custard with mashed peaches. The energy content of the meals was 40% of the daily intake of the volunteers, estimated from their individual dietary histories.2. Before, and at different times after the start of the meal, blood samples were taken and a number of indices of carbohydrate and lipid metabolism were determined in the samples, i.e. glucose, insulin, free fatty acid, free and total glycerol, free and total cholesterol, high-density-lipoprotein (HDL)-cholesterol and low-density-lipoprotein (LDL)-cholesterol.3. Increasing the carbohydrate: fat ratio resulted in higher postprandial peaks of glucose and insulin. In addition, the peak area under the postprandial glucose curve showed a significant increase. The peak area under the postprandial insulin curve had also increased, indicating that a larger amount of insulin was secreted by the pancreas on increasing the carbohydrate content in the meal. There was no significant correlation between the height of the postprandial peak of blood glucose and the size of the meal.4. All four meals caused elevated postprandial blood triacylglycerol levels. However, the decline of this elevated level took a much longer time after the meals with the lower carbohydrate: fat ratios, i.e. containing larger amounts of triacylglycerols. There was a significant decreasing linear relation between the carbohydrate content of the meals and the peak area under the postprandial triacylglycerol curve. Free glycerol and free fatty acids showed lower postprandial levels in the blood after the meals with the higher carbohydrate: fat ratios, and the peak areas of the postprandial curves of both variables displayed a significant decrease. Little or no effect of the meal carbohydrate: fat ratio was observed on the postprandial concentrations of total cholesterol, unesterified cholesterol, HDL-cholesterol or LDL-cholesterol.
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Shylaja, MD, Prashant A. Punde, S. Nubesh Khan, and Ashutosh J. Thorat. "Noninvasive Technique for estimating Blood Glucose Levels among diabetic Patients." Journal of Contemporary Dental Practice 17, no. 3 (2016): 248–52. http://dx.doi.org/10.5005/jp-journals-10024-1835.

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ABSTRACT Aim The present study was aimed to assess the fasting and postprandial gingival crevicular blood (GCB) glucose and finger stick blood glucose measurements using a glucometer. Materials and methods A total of 30 subjects with periodontitis and positive bleeding on probing were considered. Subjects were instructed to report to the department after overnight fasting. Gingival crevicular blood samples were collected from anterior region showing bleeding on probing followed by finger stick blood sample collection. Then, the patients were instructed to take 75 gm of glucose and after 2 hours blood samples from two sites were collected similarly. Results were analyzed using unpaired t test and Pearson's correlation. Results Mean glucose levels form GCB and finger stick blood did not differ either during fasting or postprandial (p > 0.05). Significant correlation was found between GCB glucose levels and capillary finger stick blood (CFB) glucose levels during fasting(r = 0.946, p < 0.001) and postprandial (r = 0.930, p < 0.001) blood estimation. Conclusion Periodontal probing can be considered as an alternate noninvasive method of blood glucose estimation for screening of diabetes mellitus (DM). The technique described is safe, easy to perform, and helps to increase the frequency of diabetes screening in dental office. Clinical significance The GCB from probing can be a good source of blood for estimating blood glucose levels and screening for diabetes using portable glucose monitors. Also, it will be a simple and relatively inexpensive in office screening procedure for any patient suspected to have diabetes. How to cite this article Shylaja MD, Punde PA, Sam G, Khan SN, Latheef AA, Thorat AJ. Noninvasive Technique for Estimating Blood Glucose Levels among diabetic Patients. J Contemp Dent Pract 2016;17(3):248-252.
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Dono, Indarto, Dwipajati Dwipajati, Paramasari Dirgahayu, Yohanes Cakrapradipta Wibowo, and Yoga Mulia Pratama. "Acute Effects of Breakfast Fruits Meal Sequence and Postprandial Exercise on the Blood Glucose Level and DPP4 Activity among Type 2 Diabetes Mellitus Patients: A Pilot Study." Journal of Obesity 2022 (September 27, 2022): 1–8. http://dx.doi.org/10.1155/2022/4875993.

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Objectives. Type 2 diabetes mellitus (T2DM) is a major global public health issue. Diet and physical exercise are modifiable factors that influence the glycaemic status of patients with T2DM. We aimed to investigate the acute effects of breakfast fruits meal sequence and postprandial exercise on the blood glucose level and dipeptidyl peptidase 4 (DPP4) activity among type 2 diabetes mellitus patients. Methods. A randomized pilot study recruited patients with T2DM who attended two primary health care centres in Tasikmadu District, Karanganyar Regency, and Kartasura District, Sukoharjo Regency, Central Java, Indonesia, from July to October 2016. Eligible patients (4 men and 32 women) were randomly divided into four treatment groups. Venous blood samples were analyzed for fasting and one-hour postprandial blood glucose (FBG and 1 h PPG) levels and DPP4 activity. Blood glucose levels were measured using a routine hexokinase method, and serum DPP4 activity was determined spectrophotometrically after incubation with the Gly-Pro-p-nitroanilide substrate. Results. Fruits last meal decreased FBG level whilst fruits first meal did not significantly decrease 1 h PPG level. Both treatments had no acute effects on DPP4 activity but the addition of postprandial exercise helped lower DPP4 activity. Fruit last and first meals showed significant opposite effects on mean changes of FBG level ( p < 0.05 ). Conclusions. This preliminary report of fruits meal sequence is potentially involved in acute regulation of blood glucose levels and that it might be independent of DPP4 activity in Indonesian patients with T2DM. Moreover, postprandial exercise may be an important intervention for T2DM through the mediation of DPP4 but has no acute effects on the regulation of blood glucose levels. Further studies are required to investigate whether or not different types of fruits and longer treatment intervals can affect blood glucose levels and DPP4 activity differently. This study also gives an insight into the feasibility of conducting food order modification with or without the combination of postprandial exercise in a primary health setting for our next studies.
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Tsereteli, Neli, Raphael Vallat, Juan Fernandez-Tajes, Linda M. Delahanty, Jose M. Ordovas, David A. Drew, Ana M. Valdes, et al. "Impact of insufficient sleep on dysregulated blood glucose control under standardised meal conditions." Diabetologia 65, no. 2 (November 30, 2021): 356–65. http://dx.doi.org/10.1007/s00125-021-05608-y.

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Abstract Aims/hypothesis Sleep, diet and exercise are fundamental to metabolic homeostasis. In this secondary analysis of a repeated measures, nutritional intervention study, we tested whether an individual’s sleep quality, duration and timing impact glycaemic response to a breakfast meal the following morning. Methods Healthy adults’ data (N = 953 [41% twins]) were analysed from the PREDICT dietary intervention trial. Participants consumed isoenergetic standardised meals over 2 weeks in the clinic and at home. Actigraphy was used to assess sleep variables (duration, efficiency, timing) and continuous glucose monitors were used to measure glycaemic variation (>8000 meals). Results Sleep variables were significantly associated with postprandial glycaemic control (2 h incremental AUC), at both between- and within-person levels. Sleep period time interacted with meal type, with a smaller effect of poor sleep on postprandial blood glucose levels when high-carbohydrate (low fat/protein) (pinteraction = 0.02) and high-fat (pinteraction = 0.03) breakfasts were consumed compared with a reference 75 g OGTT. Within-person sleep period time had a similar interaction (high carbohydrate: pinteraction = 0.001, high fat: pinteraction = 0.02). Within- and between-person sleep efficiency were significantly associated with lower postprandial blood glucose levels irrespective of meal type (both p < 0.03). Later sleep midpoint (time deviation from midnight) was found to be significantly associated with higher postprandial glucose, in both between-person and within-person comparisons (p = 0.035 and p = 0.051, respectively). Conclusions/interpretation Poor sleep efficiency and later bedtime routines are associated with more pronounced postprandial glycaemic responses to breakfast the following morning. A person’s deviation from their usual sleep pattern was also associated with poorer postprandial glycaemic control. These findings underscore sleep as a modifiable, non-pharmacological therapeutic target for the optimal regulation of human metabolic health. Trial registrationClinicalTrials.gov NCT03479866. Graphical abstract
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