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  Introduction : Nowadays, diabetes is one of the most prevalent diseases which can cause severe psychotic effects. Thus, determining factors affecting health is of tremendously important for improving psychological health of diabetic patients. Accordingly, the aim of this study was to investigate the relationship between social support and resilience in diabetic patients.

  Methodology : This cross-sectional study was of descriptive-analytical design. A total of 95 diabetic patients were selected by means of census sampling. Connor-Davidson resilience scale and multidimensional scale of perceived social support were applied to obtain data. To analyze the data, in addition to descriptive statistics, inferential statistical analyses including Pearson correlation coefficient, t-test, one-way ANOVA and linear regression analysis were performed using SPSS.

  Results : The findings of this study showed a significant correlation between social support and resilience of diabetic patients (P<0.0001, r=0.54). Among the subscales of social support, social support of family, social support of the most important people in patients’ life and social support from friends had a significant relationship with resilience in diabetic patients (P<0.0001). The linear regression results showed that social support predicts 26 % of variance in resiliency.

  Conclusion : The results indicated that increased social support improves resilience of the diabetic patients which, in turn, aides individuals to encounter their problems .

 

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  Introduction : Provision of care for elderly patients with diabetes could be difficult due to the complications of this disease, such as underlying medical conditions or general disability. Appropriate care for elderly diabetic patients could significantly affect their physical and mental health. Psychological and social support for these patients could help them manage and control stressful situations and concerns of daily life. This study aimed to determine the relationship between social support and quality of life in elderly patients with diabetes.

  Methodology : This descriptive correlational study was conducted on all the elderly residents of the nursing homes in Khorramshahr and Ahwaz cities (73 female patients), Iran. All the subjects met the inclusion criteria and were selected by census sampling. Data collection was performed using demographic questionnaires, SF-36 questionnaire and Diabetes Social Support Questionnaire Family-Version (DSSQ- Family). Data analysis was performed using SPSS V.13.

  Results : According to linear regression results, there was a significant correlation between social support and different aspects associated with quality of life, including general health (P=0.008) and psychological health (P<0.001). However, no significant correlation was observed between social support and physical or social health of the patients (P=0.49).

  Conclusion : According to the results of this study, quality of life was significantly lower among the elderly residents of nursing homes compared to other individuals. Therefore, it is recommended that nursing homes attempt to enhance this parameter among the elderly by upgrading their facilities, establishing a friendly environment and encouraging family members to pay regular visits to the residents.

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Introduction: The quality of life of patients with type 2 diabetes is affected by several variables that from most important can be noted perceived social support, psychological hardiness and family communication patterns. This research aimed to investigate the relationship between perceived social support, psychological hardiness and family communication patterns with quality of life among patients with type II diabetes.

Methodology: This is a descriptive analytical study of correlation type. The statistical population included all patients with type 2 diabetic that referred to health care center of Varamin city in 2015 year. Totally 190 patient were selected by simple randomly sampling method. All of them completed the questionnaires include perceived social support (PSS), psychological hardiness (PH), family communication patterns (FCP) and quality of life (QL). Data was analyzed using Pearson correlation and multivariate regression and with using of SPSS-19 software.

Results: The findings showed a positive and significant relationship between perceived social support, psychological hardiness and conversation communication pattern with quality of life among patients with type 2 diabetes and a negative and significant relationship between conformity communication pattern with quality of life among patients with type 2 diabetes. In a one predicted model, perceived social support, conversation communication pattern, psychological hardiness and conformity communication pattern predicted 54/7 percent of variance of quality of life among patients with type 2 diabetes (P&le0/01).

Conclusion: Regarded to results of this study suggest that therapists, counselors and clinical psychologist consider the symptoms of these variables and design appropriate programs to improve the quality of life of patients with type 2 diabetes.

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Introduction: Considering the importance and high prevalence of diabetes, it is necessary to consider the factors related to self-care in these patients in order to improve the health of the community. Regarding this, the present research was conducted to examine the causal model of self-care based on social support and health literacy through self-efficacy in the management of diabetes among diabetic patients.
Materials and Methods: This study was conducted on 190 patients with diabetes mellitus referring to the endocrinologists in Tehran, Iran, in 2018. The study population was selected through convenience sampling method. The data were collected using the Social Support, Health Literacy, Self-Efficacy in Diabetes Management, and Diabetes Self-care Questionnaires. The data were analyzed using the structural equation modeling method.
Results: The results showed significantly direct relationships between health literacy and self-care (β=0.18, P≤0.01), between social support and self-care (β=0.15, P≤0.05), between self-efficacy in the management of diabetes and self-care (β=0.39, P≤0.01) between health literacy and self-efficacy in managing diabetes (β=0.25, P≤0.01), and between social support and self-efficacy in diabetes management (β=0.25, P≤0.01). In addition, self-care showed indirect relationships with health literacy (0.09=β, P≤0.01) and social support (β=0.09, P≤0.01) through self-efficacy in the management of diabetes.
Conclusion: As the findings indicated, health literacy and social support were effective not only in the management of diabetes through self-efficacy but also in self-care behaviors in diabetic patients.