Investigating the relationship between quality of life with lipid and glucose levels in Iranian diabetic patients

2017 ◽  
Vol 11 ◽  
pp. S879-S883 ◽  
Author(s):  
Parisa Parsa ◽  
Roya Ahmadinia-Tabesh ◽  
Younes Mohammadi ◽  
Nasrin Khorami
2017 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Sabah M. Ebrahem ◽  
Samah E. Masry

Objective: The goal of this study was to evaluate the effect of relaxation therapy on depression, anxiety, stress, quality of life, and blood glucose levels among patients diagnosed with type II diabetes mellitus (T2DM).Methods: A quasi-experimental research design was used. Sample: Convenience sample of 70 patients was recruited and assigned to one of two groups, an intervention group (Group A) and a control group (Group B). A table of random numbers was generated and used to make group assignments. Setting: The study was conducted at Medical Outpatient Clinics in Menoufia University Hospital, Menoufia governorate, Egypt. Instruments: Data collection included a structured interview questionnaire that included socio-demographic characteristics and clinical data, the Depression, Anxiety and Stress Scale (DASS), and the World Health Organization Quality of Life (WHOQOL-BRIEF).Results: The findings indicate that anxiety level, stress, depression, and quality of life were improved in the intervention group with a statistically significant degree compared to the control group.Conclusions: Relaxation therapy improved depression, anxiety, stress, quality of life, and blood glucose levels among patients diagnosed with T2DM.Recommendation: Relaxation therapy, patient education programs and treatment protocols should be integrated into the medical outpatient clinic to assist patients diagnosed with T2DM to cope with their stress, anxiety, depression, and enhance blood glucose control.


2020 ◽  
Vol 11 ◽  
Author(s):  
Zhi Li ◽  
Ning Wu ◽  
Jing Wang ◽  
Quanbin Zhang

In recent years, the number of diabetic patients has rapidly increased. Diabetic vascular complications seriously affect people’s quality of life. Studies found that endothelial dysfunction precedes the vascular complications of diabetes. Endothelial dysfunction is related to glycocalyx degradation on the surface of blood vessels. Heparanase (HPSE), matrix metalloproteinase (MMP), hyaluronidase (HYAL), hyaluronic acid synthase (HAS), and neuraminidase (NEU) are related to glycocalyx degradation. Therefore, we reviewed the relationship between endothelial dysfunction and the vascular complications of diabetes from the perspective of enzymes.


2018 ◽  
Vol 4 (1) ◽  
pp. 18-24
Author(s):  
Fariba Aaraji ◽  
Masoud Nosratabadi ◽  
Mohammadjavad Hoseinpourfard

Background: Complementary medicine claims that biofeedback affects the reduction of blood glycemia. Objective: The current study aimed to determine the effects of biofeedback on decreasing blood glucose levels and tension and increasing the quality of life in diabetic patients. Methods: The current retrospective evidence-based study used pretest-posttest accidental sampling to select a group of 30 diabetic patients admitted to Glenview Clinic in the Aghdasiyeh region, Tehran, Iran, as the sample. Participants were divided into two 15-membered groups, the experiment and the control groups, matched by age and gender. Data gathering tools included the Quality of Life questionnaire in diabetic patients by Thomas et al, the Perceived Tension Index by Cohen et al, a glucometer, and the fasting blood glucose test. Data was analyzed using analysis of covariance (ANCOVA). Results: The results showed that biofeedback training was effective in decreasing blood glucose levels in diabetic patients. Conclusion: Biofeedback can reduce tension and improve the quality of life of diabetic patients; thus, it could be used as a complementary service in healthcare centers.


2002 ◽  
Author(s):  
R. Arnold ◽  
A. V. Ranchor ◽  
N. H. T. ten Hacken ◽  
G. H. Koeter ◽  
V. Otten ◽  
...  

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.


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