Background: The present study aims to investigate the correlation between resilience, self-efficacy, and illness perception in patients with type 2 diabetes mellitus in the south of Iran. Materials and methods: The present study is a crosssectional work conducted on 405 patients with type 2 diabetes mellitus who were selected via convenience sampling from clinics in the south of Iran, from December 2019 to July 2020. Data were collected using a questionnaire consisting of four sections: a demographics survey, the Connor-Davidson Resilience Scale (CD-RISC), Lev's Self-efficacy Scale, and Broadbent's Brief Illness Perception Questionnaire (BIPQ). Data analysis was performed in SPSS 22 software using descriptive statistics, Pearson correlation, ANOVA, and multiple regression analysis at a p < 0.05 significance level. Results: The results of the study showed that there were significant positive correlations between the participants' resilience and self-efficacy (r = 0.78, p < 0.001), resilience and illness perception (r = 0.57, p < 0.001), and self-efficacy and illness perception (r = 0.76, p < 0.001). Conclusions: The findings of the present study show that there is a positive correlation between resilience and self-efficacy and illness perception in patients with type 2 diabetes mellitus. patients with diabetes who can successfully cope with the traumatic conditions caused by their illness and have confidence in their ability to perform self-care activities have a more positive view of the manageability of their condition. Therefore, healthcare policymakers and nurses can use interventions designed to enhance resilience and self-efficacy in order to improve diabetic patients' illness perception and management. (Clin Diabetol 2022, 11; 3: 175-182

Pregnant women are one of the vulnerable groups against COVID-19. Understanding the affected population characteristics helps to identify risk factors and set more effective treatment goals; in this regard, the present study tries to review demographic characteristics, clinical signs, radiological and laboratory findings in pregnant women with COVID-19 in southern Iran.Methods: This descriptive cross-sectional study was conducted on 30 pregnant women with COVID-19 who were selected from teaching hospitals in Fasa, Jahrom, and Shiraz in Fars province. Sampling was done through the convenience method from March to July 2020. A researcher-made checklist was applied to gather the required data which were analyzed using SPSS 22 software and descriptive statistics. Results:The mean age of patients was 28.30±9.96 years. Of patients, 60% were in the first trimester of pregnancy. The average length of stay in a hospital was 8.47±4.37 days. Fever (46/66 %) was the most common clinical finding, increased C-reactive protein (CRP) levels (50%) was the most common laboratory finding, and Ground Glossy Opacity (GGO) (56/66 %) was the most common radiological finding in both lungs. Of pregnant women, 80% with COVID-19 had an underlying disease. The most common underlying diseases were 36.66% for asthma and 20% for diabetes. Of normal deliveries, 53.33% and 3.33% of neonatal and maternal deaths were reported. Conclusion:The most common time for COVID-19 in pregnant women was reported in the first trimester of pregnancy with clinical signs of fever and a history of asthma and diabetes. Therefore, the findings of this study highlight the importance of paying attention to pregnant women as one of the most at-risk groups in the COVID-19 pandemic. Health policy makers can use the findings of this study and the reported outcomes to develop appropriate health protocols for health care of pregnant women in the COVID-19 pandemic.