scholarly journals The Impact of Accelerometer and Heart Rate Data on Hypoglycemia Mitigation in Type 1 Diabetes

2014 ◽  
Vol 8 (1) ◽  
pp. 64-69 ◽  
Author(s):  
Matthew Stenerson ◽  
Fraser Cameron ◽  
Darrell M. Wilson ◽  
Breanne Harris ◽  
Shelby Payne ◽  
...  
Keyword(s):  
Heart Rate ◽  
Type 1 Diabetes ◽  
Rate Data ◽  
Heart Rate Data ◽  
The Impact

scholarly journals In amateur athletes with type 1 diabetes, a 9-day period of cycling at moderate-to-vigorous intensity unexpectedly increased the time spent in hyperglycemia, which was associated with impairment in heart rate variability

2020 ◽  
Author(s):  
Elodie Lespagnol ◽  
Olivia Bocock ◽  
Joris Heyman ◽  
François-Xavier Gamelin ◽  
Serge Berthoin ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 1 Diabetes ◽  
Glycemic Variability ◽  
Amateur Athletes ◽  
Positive Effects ◽  
Vigorous Intensity ◽  
Exercise Induced ◽  
The Impact

<b>Objective</b> <p>In type 1 diabetes, autonomic dysfunction may occur early as a decrease in heart rate variability (HRV). In nondiabetic populations, the positive effects of exercise training on HRV are well documented. However, exercise in individuals with type 1 diabetes, particularly if strenuous and prolonged, can lead to sharp glycemic variations, which can negatively impact HRV. This study explores the impact of a 9-day cycling tour on HRV in this population, with a focus on exercise-induced glycemic excursions<i>.</i></p> <p><b>Research Design and Methods</b></p> <p>Twenty amateur athletes with uncomplicated type 1 diabetes cycled 1500km. HRV and glycemic variability were measured by heart rate and continuous glucose monitoring. Linear mixed models were used to test the effects of exercise on HRV, considering concomitant glycemic excursions and subject characteristics as covariates.</p> <p><b>Results</b></p> <p>Nighttime HRV tended to decrease with the daily distance traveled. The more time the subjects spent in hyperglycemia, the lower the parasympathetic tone was. This result is striking given that hyperglycemic excursions progressively increased throughout the 9 days of the tour, and to a greater degree on the days a longer distance was traveled, while time spent in hypoglycemia surprisingly decreased. This phenomenon occurred despite no changes in insulin administration and a decrease in carbohydrate intake from snacks. </p> <p><b>Conclusions</b></p> <p><a>In sports enthusiasts with type 1 diabetes</a>, multiday prolonged exercise at moderate-to-vigorous intensity worsened hyperglycemia with the latter being negatively associated with parasympathetic cardiac tone. Considering the putative deleterious consequences on cardiac risks, future work should focus on understanding and managing exercise-induced hyperglycemia.</p>

scholarly journals In amateur athletes with type 1 diabetes, a 9-day period of cycling at moderate-to-vigorous intensity unexpectedly increased the time spent in hyperglycemia, which was associated with impairment in heart rate variability

2020 ◽  
Author(s):  
Elodie Lespagnol ◽  
Olivia Bocock ◽  
Joris Heyman ◽  
François-Xavier Gamelin ◽  
Serge Berthoin ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 1 Diabetes ◽  
Glycemic Variability ◽  
Amateur Athletes ◽  
Positive Effects ◽  
Vigorous Intensity ◽  
Exercise Induced ◽  
The Impact

<b>Objective</b> <p>In type 1 diabetes, autonomic dysfunction may occur early as a decrease in heart rate variability (HRV). In nondiabetic populations, the positive effects of exercise training on HRV are well documented. However, exercise in individuals with type 1 diabetes, particularly if strenuous and prolonged, can lead to sharp glycemic variations, which can negatively impact HRV. This study explores the impact of a 9-day cycling tour on HRV in this population, with a focus on exercise-induced glycemic excursions<i>.</i></p> <p><b>Research Design and Methods</b></p> <p>Twenty amateur athletes with uncomplicated type 1 diabetes cycled 1500km. HRV and glycemic variability were measured by heart rate and continuous glucose monitoring. Linear mixed models were used to test the effects of exercise on HRV, considering concomitant glycemic excursions and subject characteristics as covariates.</p> <p><b>Results</b></p> <p>Nighttime HRV tended to decrease with the daily distance traveled. The more time the subjects spent in hyperglycemia, the lower the parasympathetic tone was. This result is striking given that hyperglycemic excursions progressively increased throughout the 9 days of the tour, and to a greater degree on the days a longer distance was traveled, while time spent in hypoglycemia surprisingly decreased. This phenomenon occurred despite no changes in insulin administration and a decrease in carbohydrate intake from snacks. </p> <p><b>Conclusions</b></p> <p><a>In sports enthusiasts with type 1 diabetes</a>, multiday prolonged exercise at moderate-to-vigorous intensity worsened hyperglycemia with the latter being negatively associated with parasympathetic cardiac tone. Considering the putative deleterious consequences on cardiac risks, future work should focus on understanding and managing exercise-induced hyperglycemia.</p>

scholarly journals QT interval prolongation during spontaneous episodes of hypoglycaemia in type 1 diabetes: the impact of heart rate correction

Diabetologia ◽  
2010 ◽  
Vol 53 (9) ◽  
pp. 2036-2041 ◽  
Author(s):  
T. F. Christensen ◽  
L. Tarnow ◽  
J. Randløv ◽  
L. E. Kristensen ◽  
J. J. Struijk ◽  
...  
Keyword(s):  
Heart Rate ◽  
Type 1 Diabetes ◽  
Qt Interval ◽  
Interval Prolongation ◽  
Qt Interval Prolongation ◽  
Heart Rate Correction ◽  
The Impact

The impact of real-time continuous glucose monitoring on metabolic control in children with type 1 diabetes

2020 ◽  
Author(s):  
Ruxandra Calapod Ioana ◽  
Irina Bojoga ◽  
Duta Simona Gabriela ◽  
Ana-Maria Stancu ◽  
Amalia Arhire ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Real Time ◽  
Metabolic Control ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
The Impact

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

Model estimates of the results of diabetes patients using modern glucometers with tri-color technology for displaying test results

2019 ◽  
pp. 81-89
Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Economic Benefits ◽  
Test Results ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
The Impact

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.

Sign in / Sign up

Export Citation Format

Share Document