AIM: To examine a new performance test for detecting eye dominance by testing and re-testing with two different methods of the same subjects for comparing and discussing the reliabilities of these tests. ·METHODS: A total of 179 university students (mean age±SD was 19.37±1.62 years) were voluntarily participate in this survey consisting of 110 females (61.5%) and 69 males (38.5%). Eye dominances were determined by two different methods which were named McManus examined using a test-retest method. ·RESULTS: Without sex difference right eyes were found dominant for 128 (71.5%) participants by McManus test. The right eye dominance were found for 110 (61.5%) subjects. The results of these two methods were related significantly by Fisher Exact test (P ＜ 0.01), with an agreement scores (κ=0.256, P＜ 0.001). In females the right eye dominance were found for 74 (67.3%) and left eye were found for 36 (32.7%) by McManus test. When the right eye dominance was found as 62 (56.4%); and the left eye dominance was found for 48 (43.6%) females were related significantly by Fisher Exact test (P＜ 0.05), with a weak agreement scores (κ=0.239, P ＜ 0.01). In males the right/left eye dominance were found respectively 54 (78.3%), 15(21.7%) in McManus test as it was found as 48 (69.6%), 21 (30.4%) for the same test and Fisher exact test were used for the analysis of categorical data. The agreement between different methods was analyzed with Kappa statistics. Comparison of proportions was made by two proportions z test. P value less than 0.05 was considered as significant. ·CONCLUSION: Without gender difference and also in both females and males marked right eye dominance was observed. The right eye dominance was considering functional laterality may due to the dominance of left hemisphere instead of right hemisphere. It is an important topic future research in laterality, and it may well become an important model system for future research.

Objective: Fear, anxiety, depression and sleep deprivation are common mental health disorders in COVID-19 disease.We aimed to analyse the risk for healthcare providers during COVID-19 pandemic in a university hospital. Methods: Anesthesiologists, nurses and nurse anesthetists were invited to fill out the survey. The survey was consist of questions from ‘’The Fear of COVID-19 Scale’’, ‘’Patient Health Questionnaire’’ and ‘’Pittsburgh Sleep Quality Index’’ (PSQI). Each question was worth a point. Results: The data of 208 participants were analyzed. Mean age was 29 ± 7.748 years, 72.1% were male, 67.3% were nurses, 62% were working in intensive care units, 38% were in hospital wards, 62% of all participants were living alone. Moderate depression was the most frequently detected outcome (n = 90, 43.3%). Mean The Fear of COVID-19 Scale for all participants was 18.56 ± 7.731. The mean PSQI of patients was 6.18 ± 4.356 with a 45.7% rate of poor sleep quality. PSQI was found significantly higher in nurses (7.1 ± 4.7, p = 0.000). Nurses were the group with the highest deterioration in sleep quality (53.6%, p = 0.003). The rate of moderate-to-severe depressive symptoms was significantly higher in intensive care unit nurses and physicians (p = 0.018). PSQI score was found significantly higher in intensive care unit nurses and physicians than hospital ward co-workers (7.02 ± 4.59 vs. 4.81 ± 3.57 respectively,p = 0.001). A significant positive correlation was observed between PSQI and The Fear of COVID-19 Scale total score in all patients (p ＜ 0.005). Conclusion Depression, anxiety, fear and sleep disorders may occur in healthcare workers during COVID-19 outbreak. Intensive care unit nurses were at highest risk.