Telemonitoring system Diani intervention in type 1 diabetes patients: unacceptability and feasibility study (Preprint)

2021 ◽  
Author(s):  
Martina Vlasakova
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Activity Level ◽  
System Evaluation ◽  
Life Questionnaire ◽  
Telemedicine System ◽  
The Mean

BACKGROUND Telemedicine systems have been proven to be a successful tool for the supporting patients in diabetes mellitus selfmanagement. Despite this, a large percentage of patients do not use of all available functions of telemedicine systems. And this is one of the reasons, why patients do not meet the target compensation of their disease. This paper presents the current features of the Diani telemedicine system and the evaluation outcomes of its use. Dani has been designed to provide the patients with a comprehensive overview of their collected data including carbohydrate intake, insulin doses, physical activity level (steps) and blood glucose. OBJECTIVE The objective of the study was to evaluate the benefits of the Diani telemedicine system for the treatment of type 1 diabetes patient. The obtained suggestions will lead to further verification and development of the system in order to better compensate for diabetes mellitus. METHODS Data were obtained on the basis of a 24-week, randomized, crossover, intervention study. Patients responded to the standardized WHOQOL-BREF quality of life questionnaire and the system evaluation questionnaire. Both the level of glycated hemoglobin and the patient's weight were examined. The patient's usage of the telemedicine system was monitored and daily physical activity was measured. All data were being sent from the device to the Diani server using a real-time diabetic diary application. Wilcoxon and Friedman tests and LME method were used for data analysis. This study involved 10 patients (5 men and 5 women) who participated in the Diani system evaluation. The mean age of the participants was 47.7 ± 19.3 years; the mean duration of diabetes was 10.5 ± 8.6 years; and the mean HbA1c was 59.5 ± 6.7 mmol/mol. RESULTS The median number of days during which the patients tested the system was 84. After the intervention the mean HbA1c decreased by 4.35 mmol/mol (p = 0.011). Patients spent 18.6 ± 6.8 minutes on average using the application daily. After the Diani system intervention, the number of patients who measured their blood glucose at least 3 times a day increased by 30%. The graphical display of measured quantities, automatic transmission of measured data from the glucometer, compatibility and interconnection of individual devices when entering data were evaluated by patients in a positive way. CONCLUSIONS Diani system is beneficial for type 1 diabetes mellitus patients in terms of controlling their disease. Patients perceive it positively; it strengthens their education in the field of diabetes and understanding the influence of measured values on the compensation of their disease. Its use has a positive effect on the HbA1C level.

Dietary intake, body composition, and physical activity among young patients with type 1 diabetes mellitus

2015 ◽  
Vol 28 (7-8) ◽  
Author(s):  
Constanza Mosso ◽  
Victoria Halabi ◽  
Tamara Ortiz ◽  
Maria Isabel Hodgson
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Body Composition ◽  
Dietary Intake ◽  
Type 1 Diabetes Mellitus ◽  
Body Fat ◽  
Activity Level ◽  
The Mean

AbstractThe aim of this study was to assess dietary intake, nutritional status, body composition, and physical activity level in a group of Chilean children and adolescents with Type 1 diabetes mellitus (T1DM), compare these parameters with the recommendations of the International Society for Pediatric and Adolescent Diabetes (ISPAD), and determine the relationships between dietary intake, body composition, and diabetes control.A total of 30 patients with T1DM (aged 15.2±4.0 years) were included. Dietary intake was assessed using a 92-item quantitative food frequency questionnaire. Body composition was determined using dual-energy X-ray densitometry. Physical activity was assessed by means of a survey.The energy intake of these patients was derived from 21.4% protein, 48% carbohydrates, and 31.2% fat. The glycosylated hemoglobin (HbA1c) was significantly correlated with fat as grams per day (r: 0.363, p<0.05) and calories per day (r: 0.364, p<0.05). The mean body fat percentage in females was 31.2% and 20.2% in males (p < 0.01) and the mean amount of physical activity was 4.5±2.7 h per week.The study patients had a higher protein intake than recommended by ISPAD. Dietary carbohydrate intake was rather low, and dietary fat intake was the same as the limits recommended by ISPAD. Diabetic control was significantly correlated with protein, carbohydrates, fat, and sodium intake. The girls in the study had a higher percentage of body fat than the standard recommendations for their age. The level of physical activity was adequate.

The role of free-play physical activity in healthy blood glucose maintenance in children with type 1 diabetes mellitus

2008 ◽  
Vol 14 (1) ◽  
pp. 48-52
Author(s):  
Sonia Marrone ◽  
Jessica White Plume ◽  
Patrick Kerr ◽  
Anna Pignol ◽  
Nancy Vogeltanz-Holm ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Type 1 Diabetes Mellitus ◽  
Free Play

Association of physical activity level with depression, anxiety, and quality of life in children with type 1 diabetes mellitus

2015 ◽  
Vol 28 (11-12) ◽  
Author(s):  
Ebru Kaya Mutlu ◽  
Caner Mutlu ◽  
Hanifegul Taskiran ◽  
Ilker Tolga Ozgen
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Physical Activity Level ◽  
Activity Level ◽  
Pedsql 4.0

AbstractChildren with type 1 diabetes mellitus (T1DM) have low physical activity levels and are at high risk for psychosocial morbidities, including depression, heightened anxiety and low health-related quality of life (HRQoL).The aim of this study was to assess the associations of physical activity level with depression, anxiety, and HRQoL in children with T1DM.A cross-sectional study design, including children with T1DM aged between 8 and 12 years and healthy controls, was used. Physical activity (PA) level was assessed with the Physical Activity Questionnaire for Older Children (PAQ-C). Anxiety was screened by The Screen for Anxiety Related Emotional Disorders (SCARED) questionnaire. Depressive symptoms were evaluated using the Children’s Depression Inventory (CDI). Quality of life was assessed with the The Pediatric Quality of Life Inventory 4.0 (PedsQL 4.0).Forty-seven T1DM and 55 healthy children were included with mean ages of 9.87±1.63 and 9.56±1.60 years, respectively. The T1DM group had significantly higher depression and anxiety score (p<0.05) and lower HRQoL-child self-report score (p<0.05, for all) compared with the control group. Significant associations were found between PAQ-C and PedsQL 4.0 (p<0.05), between SCARED and PedsQL 4.0 (p<0.05), and between HbA1c and PedsQL 4.0 (p<0.05) in children with T1DM.The result of our study suggested that only HRQoL was related to physical activity, anxiety and HbA1c in children with T1DM.

scholarly journals The Effect of Aerobic Exercises on Blood Glucose Concentration in Healthy Girls and Girls with Type 1 Diabetes Mellitus

2018 ◽  
Vol 4 (63) ◽  
Author(s):  
Sandrija Sideravičiūtė ◽  
Alina Gailiūnienė ◽  
Kristina Visagurskienė ◽  
Daiva Vizbaraitė
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Type 1 Diabetes Mellitus ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Swimming Training

Regular aerobic exercises are benefi cial not only for healthy people. Physical activity plays a big part in the lives of children and adolescents with type 1 diabetes mellitus too. Walking, biking, swimming, dancing, and many other activities are considered to be aerobic exercises and they are all healthy. What kind of physical exercises are the most useful for the youth with type 1 diabetes mellitus? So, the aim of the present study was to estimate and compare the effect of aerobic exercise such as swimming and aerobics, on blood glucose concentration of young girls. 19 girls aged 16.5 ± 0.24 years with the duration of diabetes for 8.1 ± 0.9 years and 28 healthy girls aged 16.9 ± 0.36 years participated in the study. Two experiments were carried out. The fi rst experiment was a 7-day physical exercise program, consisting of aerobics and swimming training sessions each day. The other experiment was a 14-week swimming program, where all the participants attended swimming training sessions two times per week, and there were all in all 28 training sessions. Glycemia control was assessed by blood glucose level (mmol / l) monitored before and after every training sessions during the 7-day and 14-week physical programs. After the analysis of blood test it was found, that the 7-day physical program decreased blood glucose concentration for all subjects (p < 0.05) but, swimming had a greater effect on blood glucose control for girls with type 1 diabetes mellitus than aerobics (p < 0.01). After the 14-week duration swimming program, hyperglycemia signifi cantly decre-ased for all subjects too, but it’s response to the regular physical activity in the water was the highest for diabetics (p < 0.001).The evidence obtained in this study showed that both swimming and aerobics decreased blood glucose concentration for healthy subject and for subjects with diabetes. But swimming had a greater effect on the dynamics of blood glucose level for girls with type 1 diabetes mellitus than aerobics.Keywords: type 1 diabetes mellitus, swimming, aerobics, blood glucose, glycemia.

scholarly journals A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

2021 ◽  
Vol 11 (4) ◽  
pp. 1742
Author(s):  
Ignacio Rodríguez-Rodríguez ◽  
José-Víctor Rodríguez ◽  
Wai Lok Woo ◽  
Bo Wei ◽  
Domingo-Javier Pardo-Quiles
Keyword(s):  
Diabetes Mellitus ◽  
Machine Learning ◽  
Type 1 Diabetes ◽  
Feature Selection ◽  
Blood Glucose ◽  
Type 1 Diabetes Mellitus ◽  
Support Vector ◽  
Chronic Hyperglycemia ◽  
Predictive Algorithms

Type 1 diabetes mellitus (DM1) is a metabolic disease derived from falls in pancreatic insulin production resulting in chronic hyperglycemia. DM1 subjects usually have to undertake a number of assessments of blood glucose levels every day, employing capillary glucometers for the monitoring of blood glucose dynamics. In recent years, advances in technology have allowed for the creation of revolutionary biosensors and continuous glucose monitoring (CGM) techniques. This has enabled the monitoring of a subject’s blood glucose level in real time. On the other hand, few attempts have been made to apply machine learning techniques to predicting glycaemia levels, but dealing with a database containing such a high level of variables is problematic. In this sense, to the best of the authors’ knowledge, the issues of proper feature selection (FS)—the stage before applying predictive algorithms—have not been subject to in-depth discussion and comparison in past research when it comes to forecasting glycaemia. Therefore, in order to assess how a proper FS stage could improve the accuracy of the glycaemia forecasted, this work has developed six FS techniques alongside four predictive algorithms, applying them to a full dataset of biomedical features related to glycaemia. These were harvested through a wide-ranging passive monitoring process involving 25 patients with DM1 in practical real-life scenarios. From the obtained results, we affirm that Random Forest (RF) as both predictive algorithm and FS strategy offers the best average performance (Root Median Square Error, RMSE = 18.54 mg/dL) throughout the 12 considered predictive horizons (up to 60 min in steps of 5 min), showing Support Vector Machines (SVM) to have the best accuracy as a forecasting algorithm when considering, in turn, the average of the six FS techniques applied (RMSE = 20.58 mg/dL).

scholarly journals Serum vitamin D deficiency in children and adolescents is associated with type 1 diabetes mellitus

2018 ◽  
Vol 7 (12) ◽  
pp. 1275-1279 ◽  
Author(s):  
Changwei Liu ◽  
Jingwen Wang ◽  
Yuanyuan Wan ◽  
Xiaona Xia ◽  
Jian Pan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Vitamin D Deficiency ◽  
Newly Diagnosed ◽  
25Ohd Level ◽  
Serum 25Ohd ◽  
The Mean

Background To investigate the relationship 25-hydroxy vitamin D (25OHD) level among children and in children with type 1 diabetes mellitus (T1DM). Methods A case–control study was conducted to compare the serum 25OHD levels between cases and controls. This study recruited 296 T1DM children (106 newly diagnosed T1DM patients and 190 established T1DM patients), and 295 age- and gender-matched healthy subjects as controls. Results The mean serum 25OHD in T1DM children was 48.69 ± 15.26 nmol/L and in the controls was 57.93 ± 19.03 nmol/L. The mean serum 25OHD in T1DM children was lower than that of controls (P < 0.01). The mean serum 25OHD level (50.42 ± 14.74 nmol/L) in the newly diagnosed T1DM children was higher than that (47.70 ± 15.50 nmol/L) in the established T1DM children but the difference was not statistically significant (P = 0.16). HbA1c values were associated with 25OHD levels in established T1DM children (r = 0.264, P < 0.01), and there was no association between 25OHD and HbA1c in newly diagnosed T1DM children (r = 0.164; P > 0.05). Conclusion Vitamin D deficiency is common in T1DM children, and it should be worthy of attention on the lack of vitamin D in established T1DM children.

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