Background and Objective: Nursing students are experiencing stress in related to academic and clinical training programs.  Given the importance of promoting mental health and emotional intelligence in academic performance,  the study of emotional intelligence and related factors could be the basis for strengthening this important variable by designing and implementing of effective training programs.

Material and Methods: This cross-sectional study was conducted on 125 nursing & midwifery students selected randomly in 2013. The instruments were a demographic checklist and Shyryng Sybrya Emotional Intelligence Questionnaire. The data was analyzed in SPSS16 using descriptive statistics (mean and standard deviation) and ANOVA, T- TEST (p&le 0.05).

Results: The mean of emotional intelligence was 109.12±12.27 in nursing and 113.32±13.26 in midwifery students.  The  total score and  the score of all dimensions of  Emotional Intelligence Questionnaire were not related significantly with some demographic factors such as age, residential place, interest to major and economic status (P>0.05), in both nursing and midwifery students. In nursing students, the meaningful relation was found just between Self-awareness dimension and gender (P=0.034) and grade point average (GPA)   (P=0.049). The score of Self-awareness was higher in female students and  in the students with higher GPA.

Conclusion: Regarding the relationship between some demographics and emotional intelligence, we can design and implement effective educational programs to boost this important component.

Background and Objective: Patients under hemodialysis are faced with many stressors and psychological problems such as sleep disorder and anxiety. These problems could be a threat to their health and be significant clinically.  Thus, we aimed to determine the relationship between anxiety and sleep quality in hemodialysis patients.

Material and Methods: This descriptive-analytic study was conducted on 74 hemodialysis patients in Hefdahe Shahrivar hospital of Borazjan city, 2014. The data was collected by Pittsburgh Sleep Quality Index (PSQI) and State-Trait Anxiety Inventory (STAI), and analyzed by t-test, ANOVA and correlation Coefficient using SPSS.

Results: Most of the patients (89.2%) had the average anxiety and 63.3% of them had low sleeping quality. The average of patients’ anxiety and sleeping quality were 49±6.5 and 11.7±2/4, respectively. The correlation coefficient between anxiety and sleeping quality was 0.515 (p=0.001), pointing out an acceptable correlation. Along with the increase of anxiety, the dimension of the subjective sleep quality, delay in falling asleep, the sleep disturbances were affected and ended up low sleeping quality. There was no significant correlation between the anxiety and sleeping quality and daily dysfunction.

Conclusion: Given the acceptable correlation between anxiety and sleep quality, there is a direct relation between anxiety and sleep quality of the patients.