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Introduction: Diabetes is a complex disease that affects the quality of patient’s life. numerous studies have shown that quality of life in the people with diabetes is less than in people without diabetes, but, less research are discussed about the relationship between the quality of life and glycemic control. This study aimed to evaluate the health-related quality of life and its relationship with glycemic control in people with type 2 diabetes.
Materials and Methods: Cross-sectional research(descriptive - analysis)  is used in this study, which included 250 patients with type 2 diabetes in rural health centers. Demographic variables and data was collected via a standard questionnaire 36 – SF. Data were analyzed by using the descriptive statistics and independent t-test, ANOVA and Pearson correlation coefficient by SPSS v.21 software.
Results: Average Total score of the quality of life of the participants are 58.32±19.62 and men had higher scores than women in all aspects of quality of life. There was no significant relationship among the dimensions of physical, mental, and the quality of life with HbA1C. but there was significant relationship between education level and marital status, quality of life and its dimensions (p> 0.05).
Discussion and Conclusion: According to the results of the study, the patients had undesirable situation in the dimensions of physical, mental, and the quality of life, therefore it is recommended that authorities design special planning due to nursing measures in order to prevent or control the side effects as well as consider the programs providing consulting services, improvement of medical and health services, increased social participation and programs that promote the quality of patients’ life.

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Introduction: The coexistence of mental health problems in diabetic patients can lead to poor disease management. This study aimed at investigating the mediating role of resilience and diabetes distress in the relationship between depression and treatment adherence in type 2 diabetes among Iranian patients.
Methods: It is a type of analytical study conducted from 2019 to 2020. The statistical population of this study consisted of all-diabetic patients in Tehran. The subjects (200) were selected after purposeful clinical evaluation and qualification of research. In this study, Beck Depression Inventory (BDI), the Persian Version of the Morisky Medication Adherence Scale-8, Diabetes Distress Scale (DDS), Conner & Davison Resilience Scale (CDRS) were used to collect the data. Pearson correlation test by SPSS version 24 and Confirmatory Factor Analysis in AMOS software version 22 were used for analysis (P<0.05).
Results: In the present study, most participants (about 36.5%) were in the age group of 56-65 and 58.5% of them were female. According to the results, the variables of depression and diabetes distress has a negative and significant correlation with adherence to treatment (r= -.408, p<0.05). The resiliency has a positive and significant correlation with adherence to treatment (r= 0.414, p<0.05).
Conclusion: The findings showed a link between depression, diabetes distress, resilience, and treatment adherence. Resilience and anxiety from diabetes play a mediating role between depression and adherence to care.  Paying attention to patient resilience may lead to improved depression and diabetes distress in patients with diabetes, to increase the patient’s involvement in treatment adherence.

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Abstract
Introduction: Diabetes is one of the chronic diseases which causes other chronic diseases. The incidence of it is increasing in different societies, including Iran.  This study aimed to investigate Gender  differences in incidence of type 2 diabetes and  related psychosocial factors.
Methods: This was a cross-sectional study conducted in 2019 among people with the age group of 20 to 60. All the 600 participants were married and lived in Kerman. Using multi-stage sampling, 300 men and 300 women were selected. Data were collected through a questionnaire which included 3 sections as follows: Social demographic variables, healthy lifestyle variabl and perceived stress variable. Statistical analysis was done through descriptive statistics, Lambda test, Independent sample T -test and Binary Logistic regression. The SPSS 23 was used to perform the data analysis. The significance level of the study was considered to be p=0.05.
Results:    The mean (SD) score of physical activity for women was significantly lower than men: (7.6 (2.3) vs. 8.2 (2.7) (P=0.006) ). In the same vein, the mean (SD) score of healthy diet among women was significantly higher than men:  (18.6 (3) vs. 18 (2.4),( P<0.001) ). The rate of avoidance of tobacco and alcohol consumption among women was significantly higher than men:( 19.4 (1.3) vs. 17.9 (2.6),( P<0.001) ).  results of multiple logistic regression showed that in the group of women, the chance of developing diabetes was significantly related to perceived stress level (OR=1.21), level of sports activities OR=0.48) (and education. Education level and health diet also had a significant effect on men's odds of developing diabetes (OR=0.63, 1.35, respectively).
Conclusion: Among the indicators of healthy lifestyle, doing exercise in women and having a healthy diet in men were effective in predicting the risk of diabetes. In addition, the amount of perceived social stress was one of the most important psychological factors in the development of diabetes just in women. Therefore, it is crucial to recognize the factors affecting diabetes in both men and women separately. and This can be an appropriate analytical instrument for sociologists and health researchers to recognize and focus on this problem as well as for health policy makers to reduce and control harmful factors.