scholarly journals Acute Effect of Aerobic Exercise Performed at Different Times of Day on Glucose Levels in Patients with Type 2 Diabetes

Proceedings ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 5
Author(s):  
Costas Chryssanthopoulos ◽  
Michaella Alexandrou ◽  
Maria Horianopoulou ◽  
Ioannis Alexandros Stogios ◽  
Paraskevas Ioannou ◽  
...  

AIM: There is some evidence to suggest that exercise in the evening, compared with exercise in the morning, has a more beneficial impact on glycemia in patients with type 2 diabetes (T2D). The aim of this study was to examine a possible acute effect of aerobic exercise performed at different times of day on blood glucose levels during and after exercise in patients with T2D. MATERIAL & METHOD: Eight male T2D patients (61.8 ± 6.9 yrs, 27.7 ± 3.1 kg/m2, HbA1c: 6.5 ± 1.1%; mean ± SD), who did not receive insulin, performed 60-min cycling at about 75% maximal heart rate (HRmax) either at 10:30 (Morning-M), or at 17:30 (Evening-E), or 30-min cycling at 10:30 and 30-min cycling at 17:30 (ME). A control condition (C) was also included where volunteers did not exercise but had their blood glucose measured at day-time intervals similar to the time intervals of the three exercise trials. Two days before each condition no physical activity was allowed, while the day before and on the day of each trial participants controlled their diet. RESULTS: Compared to resting levels, blood glucose at the end of exercise decreased at similar levels in M (20 ± 12%), E (28 ± 14%), in the morning of ME (21 ± 10%) and in the evening of ME (26 ± 19%) (p > 0.05). Also, heart rate, blood lactate and rate of perceived exertion responses during exercise were similar between the 3 exercise conditions. Mean area under the blood glucose-time curve over the two-hour post-exercise period in exercise trials, and at similar time intervals in C, was different only between the morning in C (15,173 ± 1830 mg/dL•120 min) and the evening in ME (11,681 ± 1526 mg/dL•120 min, p = 0.045). In addition, overnight fasting serum glucose the morning after each trial was similar between conditions (p > 0.05). CONCLUSIONS: No acute effect of cycling at about 75% HRmax was observed on glycemia in patients with T2D when exercise was performed at different times of day.

1970 ◽  
Vol 5 (1) ◽  
pp. 61-74 ◽  
Author(s):  
Alexandre de Souza E Silva ◽  
Maria Paula Gonçalves Mota

O trabalho tem como objetivo analisar os estudos que avaliaram os efeitos dos programas de treinamento aeróbio, força e combinado nos níveis de glicose sanguínea em indivíduos com diabetes do tipo 2. Foi utilizado o método de revisão sistemática, sendo utilizada a base de dados PubMed. As palavras chaves utilizadas para pesquisa foram training and diabetes. Foram identificados 484 artigos originais. Apenas 17 estudos respeitaram os critérios de inclusão. Os resultados evidenciam que os programas de treinamento aeróbio diminuíram os níveis de glicose. O programa de treinamento de força também foi favorável à diminuição dos níveis de glicose sanguínea. Já o programa de treinamento combinado não demonstrou efeitos favoráveis no controle da glicose sanguínea. Conclui-se que o programa de treinamento aeróbio e de força ajudam a controlar os níveis de glicose sanguínea em indivíduos com diabetes do tipo 2. Palavras-chave: diabetes mellitus, treinamento, glicose.ABSTRACTThe study aims to analyze the studies that evaluated the effects of aerobic, strength and combined programs training in blood glucose levels in people with type 2 diabetes. We used a systematic review method and is used to PubMed database. The key words used for searching were training and diabetes. We identified 484 original articles. Only 17 studies complied with the inclusion criteria. The results show that aerobic training programs decreased glucose levels. The strength training program was also favorable to decrease in blood glucose levels. But the combined training program has not shown favorable effects on blood glucose control. We conclude that the aerobic training and strength helps control blood glucose levels in individuals with type 2 diabetes. Keywords: diabetes mellitus, training, glucose.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Musri Musman ◽  
Mauli Zakia ◽  
Ratu Fazlia Inda Rahmayani ◽  
Erlidawati Erlidawati ◽  
Safrida Safrida

Abstract Background Ethnobotany knowledge in a community has shaped local wisdom in utilizing plants to treat diseases, such as the use of Malaka (Phyllanthus emblica) flesh to treat type 2 diabetes. This study presented evidence that the phenolic extract of the Malaka flesh could reduce blood sugar levels in the diabetic induced rats. Methods The phenolic extract of the P. emblica was administrated to the glucose-induced rats of the Wistar strain Rattus norvegicus for 14 days of treatment where the Metformin was used as a positive control. The data generated were analyzed by the two-way ANOVA Software related to the blood glucose level and by SAS Software related to the histopathological studies at a significant 95% confidence. Results The phenolic extract with concentrations of 100 and 200 mg/kg body weight could reduce blood glucose levels in diabetic rats. The post hoc Dunnet test showed that the administration of the extract to the rats with a concentration of 100 mg/kg body weight demonstrated a very significant decrease in blood glucose levels and repaired damaged cells better than administering the extract at a concentration of 200 mg/kg weight body. Conclusion The evidence indicated that the phenolic extract of the Malaka flesh can be utilized as anti type 2 Diabetes mellitus without damaging other organs.


2021 ◽  
Vol 9 (1) ◽  
pp. e002032
Author(s):  
Marcela Martinez ◽  
Jimena Santamarina ◽  
Adrian Pavesi ◽  
Carla Musso ◽  
Guillermo E Umpierrez

Glycated hemoglobin is currently the gold standard for assessment of long-term glycemic control and response to medical treatment in patients with diabetes. Glycated hemoglobin, however, does not address fluctuations in blood glucose. Glycemic variability (GV) refers to fluctuations in blood glucose levels. Recent clinical data indicate that GV is associated with increased risk of hypoglycemia, microvascular and macrovascular complications, and mortality in patients with diabetes, independently of glycated hemoglobin level. The use of continuous glucose monitoring devices has markedly improved the assessment of GV in clinical practice and facilitated the assessment of GV as well as hypoglycemia and hyperglycemia events in patients with diabetes. We review current concepts on the definition and assessment of GV and its association with cardiovascular complications in patients with type 2 diabetes.


2010 ◽  
Vol 111 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Herbert Gustavo Simões ◽  
Wolysson Carvalho Hiyane ◽  
Ronaldo Esch Benford ◽  
Bibiano Madrid ◽  
Francisco Andriotti Prada ◽  
...  

2020 ◽  
Author(s):  
Yifat Fundoiano-Hershcovitz ◽  
Abigail Hirsch ◽  
Sharon Dar ◽  
Eitan Feniger ◽  
Pavel Goldstein

BACKGROUND The use of remote data capture for monitoring blood glucose and supporting digital apps is becoming the norm in diabetes care. One common goal of such apps is to increase user awareness and engagement with their day-to-day health-related behaviors (digital engagement) in order to improve diabetes outcomes. However, we lack a deep understanding of the complicated association between digital engagement and diabetes outcomes. OBJECTIVE This study investigated the association between digital engagement (operationalized as tagging of behaviors alongside glucose measurements) and the monthly average blood glucose level in persons with type 2 diabetes during the first year of managing their diabetes with a digital chronic disease management platform. We hypothesize that during the first 6 months, blood glucose levels will drop faster and further in patients with increased digital engagement and that difference in outcomes will persist for the remainder of the year. Finally, we hypothesize that disaggregated between- and within-person variabilities in digital engagement will predict individual-level changes in blood glucose levels. METHODS This retrospective real-world analysis followed 998 people with type 2 diabetes who regularly tracked their blood glucose levels with the Dario digital therapeutics platform for chronic diseases. Subjects included “nontaggers” (users who rarely or never used app features to notice and track mealtime, food, exercise, mood, and location, n=585) and “taggers” (users who used these features, n=413) representing increased digital engagement. Within- and between-person variabilities in tagging behavior were disaggregated to reveal the association between tagging behavior and blood glucose levels. The associations between an individual’s tagging behavior in a given month and the monthly average blood glucose level in the following month were analyzed for quasicausal effects. A generalized mixed piecewise statistical framework was applied throughout. RESULTS Analysis revealed significant improvement in the monthly average blood glucose level during the first 6 months (<i>t</i>=−10.01, <i>P</i>&lt;.001), which was maintained during the following 6 months (<i>t</i>=−1.54, <i>P</i>=.12). Moreover, taggers demonstrated a significantly steeper improvement in the initial period relative to nontaggers (<i>t</i>=2.15, <i>P</i>=.03). Additional findings included a within-user quasicausal nonlinear link between tagging behavior and glucose control improvement with a 1-month lag. More specifically, increased tagging behavior in any given month resulted in a 43% improvement in glucose levels in the next month up to a person-specific average in tagging intensity (<i>t</i>=−11.02, <i>P</i>&lt;.001). Above that within-person mean level of digital engagement, glucose levels remained stable but did not show additional improvement with increased tagging (<i>t</i>=0.82, <i>P</i>=.41). When assessed alongside within-person effects, between-person changes in tagging behavior were not associated with changes in monthly average glucose levels (<i>t</i>=1.30, <i>P</i>=.20). CONCLUSIONS This study sheds light on the source of the association between user engagement with a diabetes tracking app and the clinical condition, highlighting the importance of within-person changes versus between-person differences. Our findings underscore the need for and provide a basis for a personalized approach to digital health.


2019 ◽  
Vol 6 (3) ◽  
pp. 786
Author(s):  
Eda Dayakar ◽  
C. Sathya Sree ◽  
E. Sanjay

Background: Diabetes mellitus is a common health problem globally. Dyslipidaemia is a major risk factor to develop cardiovascular disease in diabetics. They present study was undertaken to find out the prevalence of dyslipidaemia in type 2 diabetic patients.Methods: The present study was a cross sectional study consisting of 46 (23 male and 23 female) known type 2 diabetes mellitus patients. Age, gender, duration of diabetes, body mass index (BMI) was recorder in all the diabetic patients.  Fasting blood glucose levels, total cholesterol, triglycerides, HDL, LDL, VLDL levels were measured using standard methods and recorded.Results: The average total cholesterol, triglycerides, LDL, HDL and VLDL were 200±42mg/dl, 169.62±89.79mg/dl, 132.45±36.38mg/dl,39.1±16.6mg/dl and 35.85±17.09mg/dl respectively. The incidence of occurrence of hypercholesterolemia was 58.6% and hypertriglyceridemia 36.9%. Increased levels of LDL were observed in 30 (65.2%) patients and reduced HDL was observed in 43 (93.4%) patients. The incidence rate of dyslipidaemia was higher in female diabetic patients when compared to male diabetic patients.Conclusions: Awareness on the dyslipidaemia and its risk factors should be provided to the type 2 diabetic patients as they are more prone to get cardiovascular disease and lipid profile also should be monitored regularly along with blood glucose levels.


2021 ◽  
pp. 13
Author(s):  
Subandrate ◽  
Raafqi Ranasasmita

Background: Increasing blood sugar level may increase free radical compounds in type 2 diabetes. Free radical compounds can cause oxidative stress, thereby decreasing endogenous antioxidants such as reduced glutathione (GSH). Objective: This study aimed to determine whether random blood glucose levels affect GSH in type 2 diabetes patients within the Malay race. Methods: This study was observational with case-control, involving 25 patients with uncomplicated type 2 diabetes (receiving metformin and/or glimipiride) and 25 healthy controls. Random blood glucose levels were determined using ACCU-CHECK® Kit. Blood GSH levels were determined by Sigma GSH Assay Kit. Results: Results show that type 2 diabetes patients have a significantly lower random blood glucose level compared with those of age-matched normal subjects (p<0.0001). Type 2 diabetic patients had significantly lower levels of GSH (p=0.00) than those of age-matched normal subjects. We found a moderate negative correlation (r=-0.437 and p=0.02) between the level of random blood glucose and the level of GSH. Conclusion: The depletion of GSH during hyperglycemia may neutralize the free radicals indirectly generated by the abundant of glucose.  


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