scholarly journals Self-Care Program With Multimedia Software Support Effect on Quality of Life in Patients With Diabetes Type II

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Rouhollah Sheikh Abumasoudi ◽  
Zohre Ghamari Zare ◽  
Moloud Farmahini Farahani ◽  
Mojtaba Ghorbani ◽  
Zahra Purfarzad
Keyword(s):  
Quality Of Life ◽  
Care Program ◽  
Diabetes Type ◽  
Support Effect ◽  
Type Ii ◽  
Multimedia Software ◽  
Software Support ◽  
Diabetes Type Ii ◽  
Patients With Diabetes

Employee management of Diabetes Type II using Modern Technology

2018 ◽  
Vol 3 (06) ◽  
Author(s):  
Russell Sims ◽  
Briunca Valdwell ◽  
Felicia Jefferson
Keyword(s):  
Quality Of Life ◽  
Medical Condition ◽  
Modern Technology ◽  
Diabetes Type ◽  
Type Ii ◽  
Diabetes Type Ii ◽  
Blood Pressures ◽  
The Impact ◽  
The Brain

Diabetes type II is a controllable condition, with a combination of medication and diet. The most important part of the combination is the information given to bring this all into balance. Education of this condition will enhance one’s quality of life. The information provided will assist in the following; 1) How insulin affects the brain. 2) Sleep patterns are impacted by this condition. 3) Blood pressures have problems with being elevated by this condition. 4) The impact on current healthcare costs. 5) Tools needed to assist in the management of this condition. 6) The tools needed to manage this medical condition. Technology begins to be more involved in the management of this condition. When one understands, what they are facing, it is easier to maintain or improve the quality of life one has to live. It will help the loved ones be supportive throughout managing this condition.

scholarly journals Analysis of the quality of life of patients with type 1 diabetes mellitus in real clinical practice who received insulin degludec

2021 ◽  
pp. 96-103
Author(s):  
L. A. Suplotova ◽  
A. S. Sudnitsyna ◽  
N. V. Romanova
Keyword(s):  
Quality Of Life ◽  
Type 1 Diabetes ◽  
Diabetes Type ◽  
Insulin Degludec ◽  
Diabetes Type 1 ◽  
Glucose Levels ◽  
Patients With Diabetes ◽  
Long Acting

Introduction. Long-term and high-quality glycemic control prevents the development of vascular complications of diabetes type 1 and improves the disease prognosis, significantly increasing life expectancy. A decrease in the quality of life (QOL) of patients with diabetes type 1 is associated with the disease complications development and carbohydrate metabolism status. In connection with the proven advantages of using indicators of time spent in glycemic ranges (TIR, TAR, TBR), the study of their associations with QOL in patients with type 1 diabetes when switching from long-acting analog insulins to insulin degludec is of particular interest.Aims. To assess the quality of life with diabetes type 1 when switching from long-acting analogs to insulin degludec in real world clinical practice.Materials and methods. The study was designed as a prospective, single-center, uncontrolled study. The recruitment of patients with diabetes type 1 who did not achieve the target values of control of carbohydrate metabolism control, who were on therapy with long-acting and ultrashort-acting analog insulin therapy, was carried out in accordance with the matching criteria. The calculation of TIR and TBR was carried out employing the data from professional continuous monitoring of glucose levels and selfmonitoring of blood glucose levels. The SF-36 Health Status Survey was used to assess QoL.Results. The study included 26 patients who met the inclusion criteria and did not have the exclusion criteria. The relationships between TIR, TBR and QoL parameters during insulin degludec therapy were revealed - with vitality, bodily pain, mental health, which demonstrates an increase in QoL mainly due to the mental component of health.Conclusions. Switching patients with type 1 diabetes from long-acting analog insulins to ultra-long-acting analog insulin on an outpatient basis provides an improvement in glycemic control due to HbA1c and TIR, TBR, and also increases QOL satisfaction, mainly due to the mental component of health.

The plasma ceramides in patients with diabetes type II

2000 ◽  
Vol 50 ◽  
pp. 395
Author(s):  
Maria Gorska ◽  
Agnieszka Buslowska ◽  
Robert Bucki ◽  
Jan Gorski
Keyword(s):  
Diabetes Type ◽  
Type Ii ◽  
Diabetes Type Ii ◽  
Patients With Diabetes

scholarly journals The quality of life of the patients with diabetes type 2 using EQ-5D-5 L in Birjand

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Mohammad Reza Abedini ◽  
Bita Bijari ◽  
Zahra Miri ◽  
Fatemeh Shakhs Emampour ◽  
Ali Abbasi
Keyword(s):  
Quality Of Life ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Patients With Diabetes

scholarly journals Exploration of patterns predicting renal damage in patients with diabetes type II using a visual temporal analysis laboratory

2014 ◽  
Vol 22 (2) ◽  
pp. 275-289 ◽  
Author(s):  
Denis Klimov ◽  
Alexander Shknevsky ◽  
Yuval Shahar
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Renal Damage ◽  
Temporal Analysis ◽  
Diabetes Type ◽  
Type Ii ◽  
Diabetes Type Ii ◽  
Clinical Databases ◽  
Patients With Diabetes ◽  
Analysis Laboratory

Abstract Objective To analyze the longitudinal data of multiple patients and to discover new temporal knowledge, we designed and developed the Visual Temporal Analysis Laboratory (ViTA-Lab). In this study, we demonstrate several of the capabilities of the ViTA-Lab framework through the exploration of renal-damage risk factors in patients with diabetes type II. Materials and methods The ViTA-Lab framework combines data-driven temporal data mining techniques, with interactive, query-driven, visual analytical capabilities, to support, in an integrated fashion, an iterative investigation of time-oriented clinical data and of patterns discovered in them. Patterns discovered through the data mining mode can be explored visually, and vice versa. Both analysis modes are supported by a rich underlying ontology of clinical concepts, their relations, and their temporal properties. The knowledge enables us to apply a temporal-abstraction pre-processing phase that abstracts in a context-sensitive manner raw time-stamped data into interval-based clinically meaningful interpretations, increasing the results’ significance. We demonstrate our approach through the exploration of risk factors associated with future renal damage (micro-albuminuria and macro-albuminuria) and their relationship to the hemoglobin A1C (HbA1C ) and creatinine level concepts, in the longitudinal records of 22 000 patients with diabetes type II followed for up to 5 years. Results The iterative ViTA-Lab analysis process was highly feasible. Higher ranges of either normal albuminuria or normal creatinine values and their combination were shown to be significantly associated with future micro-albuminuria and macro-albuminuria. The risk increased given high HbA1C levels for women in the lower range of normal albuminuria, and for men in the higher range of albuminuria. Conclusions The ViTA-Lab framework can potentially serve as a virtual laboratory for investigations of large masses of longitudinal clinical databases, for discovery of new knowledge through interactive exploration, clustering, classification, and prediction.

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