Introduction:The increasing needs of an aging population and the shortage of nursing personnel have a negative impact on the workload of nurses increasing the risk of developing anxiety and depressive symptoms. This research aims to evaluate the strength of occupational and demographic characteristics in predicting anxiety and depression among nurses. Methods:In this cross-sectional study, a sample of 164 Greek nurses from three hospitals employed fulltime participated. Anxiety and depression were measured using the validated Greek versions of the State-Trait Anxiety Inventory -State and Trait Y forms and the Centre for Epidemiological Studies Depression scale, respectively. The statistical analysis of the data was performed using the statistical program SPSS version 19.0. The statistical significance level was set up at 0.05. Results:Younger nurses, unmarried, those without children, those with less work experience, and working in the general medical units were more vulnerable. The average number of patients per nurse during the day shift may not predict anxiety or depression scores. Strong positive correlation between state and trait anxiety (r [162] = 0.77, p < 0.001), state anxiety and depression (r [162] = 0.62, p < 0.001), and trait anxiety and depression (r [162] = 0.63, p < 0.001) was revealed.Conclusion: Anxiety and depression are prevalent among nurses. Demographic and working characteristics are strong predictors of anxiety and depression among nurses. Nursing managers should emphasize emotional interventions (cognitive behavioral therapy, training on emotional intelligence, strengthening coping skills, and development of high resilience) in supporting nurses at higher risk.

Background: Diabetes mellitus (DM) is an important global health problem. The aim of this study was to assess the impact of self-efficacy, health locus of control, demographic and clinical predictors on the level of quality of life among patients with type 2 DM as well as to explore the association between these variables. Methods: A community sample of 50 DM out clinic patients completed the Greek versions of the Missoula VITAS Quality of Life Index, the General Self-Efficacy Scale, the Multidimensional Health Locus of Control Scale and a questionnaire with demographic and clinical characteristics. Statistical analysis was performed using IBM SPSS Statistics version 20. The statistical significance level was set up at 0.05. Results: There was a statistically significant correlation between self-efficacy and total quality of life score (r=0.34, p<0.05) and its dimensions "Interpersonal" (r=0.391, p<0.01) and "Transcendent" (r=0.362, p<0.01). There was no statistically significant correlation between the Health Locus of Control and quality of life. Significant but moderate correlations were found between the total score of quality of life and education (r=0.307, p<0.05), the total score of quality of life and height (r=0.34, p<0.05). Conclusions: Self-efficacy and type of treatment were among the predictors of quality of life. The more the self-efficacy increases, the more the quality of life and some of its dimensions increase. Health Locus of Control may not be associated with quality of life.