Freestyle flash glucose monitoring and structured education improve Hba1c and quality of life in children with Type 1 diabetes mellitus

2017 ◽  
Author(s):  
Donatella Pintus ◽  
Sze May Ng
2021 ◽  
Vol 18 ◽  
Author(s):  
Emmanouil Benioudakis ◽  
Eleni Karlafti ◽  
Argyroula Kalaitzaki ◽  
Georgia Kaiafa ◽  
Christos Savopoulos ◽  
...  

Background: Type 1 Diabetes Mellitus (T1DM) is a chronic autoimmune disease, which is characterized by an increased prevalence worldwide, which, in fact, tends to take extensive dimensions. The recent rapid development of science and technology has significantly contributed to the improvement of the management of type 1 diabetes mellitus, both in achieving the required euglycaemic regulation and reducing the psychological burden associated with the disease, consequently improving the quality of life of the patients with type 1 diabetes mellitus. Methods: A literature review from 2010, related to the contribution of the modern insulin analogues, continuous glucose monitoring and the insulin pump, was performed using Scopus, ScienceDirect and PubMed databases. Results: Studies included in the review support a direct and indirect association of technological innovations with the quality of life. The use of type 1 diabetes mellitus technology was negatively associated with the frequency of the hypoglycaemias and the value of the glycosylated hemoglobin, while at the same time, the development and use of the related technology were highly associated with an improvement in the quality of life. Conclusion: Patients’ quality of life is an indicator of the management of type 1 diabetes mellitus, and it is just as important as glycaemic regulation. Through this review, it was concluded that a better quality of life of T1DM patients was associated with the improvement of glycosylated hemoglobin and hypoglycemic episodes.


Author(s):  
Ivana Maria Saes Busato ◽  
Sérgio Aparecido Ignácio ◽  
João Armando Brancher ◽  
Ana Maria Trindade Grégio ◽  
Maria Ângela Naval Machado ◽  
...  

Gut ◽  
2011 ◽  
Vol 60 (Suppl 1) ◽  
pp. A161-A162
Author(s):  
J. S. Leeds ◽  
A. D. Hopper ◽  
M. Hadjivassiliou ◽  
S. Tesfaye ◽  
D. S. Sanders

2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Ana Carolina Contente Braga de Souza ◽  
◽  
João Soares Felício ◽  
Camila Cavalcante Koury ◽  
João Felício Abrahão Neto ◽  
...  

2018 ◽  
Vol 11 (4) ◽  
pp. 377-389 ◽  
Author(s):  
Paulo H. R. F. Almeida ◽  
Thales B. C. Silva ◽  
Francisco de Assis Acurcio ◽  
Augusto A. Guerra Júnior ◽  
Vania E. Araújo ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Satoshi Ida ◽  
Ryutaro Kaneko ◽  
Kanako Imataka ◽  
Kaoru Okubo ◽  
Yoshitaka Shirakura ◽  
...  

The aim of this study was to evaluate the effects of flash glucose monitoring on dietary variety, physical activity, and self-care behavior in patients with diabetes. This study included outpatients with diabetes using insulin who presented at the Department of Diabetes and Metabolism of the Ise Red Cross Hospital. Before initiating flash glucose monitoring and 12 weeks after its initiation, blood glucose-related parameters were assessed and self-administered questionnaires were completed (Dietary Variety Score (DVS), the International Physical Activity Questionnaire (IPAQ), the Summary of Diabetes Self-Care Activities Measure (SDSCA), and the Diabetes Treatment Satisfaction Questionnaire (DTSQ)) and compared between the two time points. We analyzed 42 patients with type 1 diabetes mellitus and 48 patients with type 2 diabetes mellitus. In patients with type 2 diabetes mellitus, but not type 1 diabetes mellitus, there was an increase in moderate/high category scores for IPAQ (P<0.001) and for treatment satisfaction reported via DTSQ. Furthermore, in patients with type 2 diabetes mellitus, the glycemic excursion index improved significantly and HbA1c decreased significantly (from 7.7 (1.2) to 7.4 (0.8), P=0.025). Results showed that standard deviation and mean amplitude of glycemic excursions significantly decreased in patients with type 1 diabetes mellitus (from 71.2 (20.4) to 66.2 (17.5), P=0.033 and from 124.6 (31.9) to 108.1 (28.4), P<0.001, respectively). Flash glucose monitoring is a useful tool to improve physical activity in patients with type 2 diabetes.


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