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Background & Aim: Understanding the nurse's perception of care behaviors and determining factors affecting it are the first step in correcting inappropriate behaviors and improving the quality of nursing care. Therefore, this study was conducted with the aim of "determining the care behaviors and its determinants from nurses' point of view in Ardabil educational hospitals ". Methods: This was a descriptive cross-sectional study with 450 nurses working in Ardabil educational hospitals in 2017 in which the stratified random sampling method was used. Datagathering tool was a standard three-part questionnaire on demographic characteristics, Wolf caring behaviors and the determinants of nursing care behaviors. Data were analyzed using descriptive (mean and standard deviation) and analytical (Mann-Whitney, Kruskal-Wallis, ANOVA and Multivariate Regression Analysis) statistics in SPSS V21 software. Results: The mean and standard deviation of nurses' caring behaviors (5.27±0.24) were at the optimum level. From nurses' point of view, physical dimension of care (5.43±0.7) was more important than psychosocial dimension (5.17±0.6) (p=0.001). The most and the least important caring behaviors for nurses were medication (5.58±0.44) and patient's calling with her favorite name (4.20±0.86), respectively. Mean scores of caring behaviors in female nurses (5.26±0.7) were more than males (4.97±0.54) (p=0.001). The most important factor influencing nurses' caring behaviors was the responsibility (4.49±1.01) and the least important factor was related to patient's characteristics (3.50±1.1). Conclusion:The results showed that nurses' care behaviors were in the desired level and focused on the physical aspect of care. Therefore, in order to provide patient satisfaction, nurses should pay attention to both dimensions of caring behaviors (physical and psychosocial). It is suggested that psychosocial care should be emphasized in nursing inservice training.

Background Stroke is the second leading cause of death worldwide. The role of zinc as a new predictor of stroke was considered. Methods This prospective study was conducted in Ayatollah Rouhani Hospital within a year on 100 stroke and 100 control patients. Findings The difference in zinc serum level in two groups was significant (deficiency: 3 (3%) in patients versus 20 (20%) in control group, normal: 25 (25%) versus 54 (54%), and increased level: 72 (72%) versus 26 (26%); p < 0.001). Difference in zinc serum levels was statistically significant with ischemic heart disease (deficiency: 0 cases (0%), normal: 8 cases (24%), increased level: 24 cases (75%), p = 0.003). Increases in zinc serum level were significantly correlated with the frequency of hemorrhagic and ischemic patients (deficiency: 3 (3.3%) hemorrhagic versus 0 (0%) ischemic; normal: 19 (21%) versus 6 (60%), increased level: 68 (75.6%) versus 4 (40%); p = 0.025). Regression logistics showed that ischemic heart disease (p < 0.001; OR = 28.29, %95 CI: 5.53; 144.87), hyperlipidemia (p < 0.001; OR = 0.26, %95 CI: 0.12; 0.56), and zinc serum level (p < 0.001, OR = 15.53, %95 CI: 4.03; 59.83) each had a significant role. Conclusions Babol stroke patients are prone to increased zinc serum level as a new parameter. Ischemic heart disease, increased levels of zinc, and hyperlipidemia were found to be probable predictor factors for stroke in Babol.

Background and Purpose: Stroke is the second leading cause of death worldwide. The role of zinc as a contributing factor in the pathogenesis of stroke was considered.Results: This cross-sectional study on 100 stroke patients in Ayatollah Rouhani Hospital and 100 control group from cohort master plan "Ageing and health projects Amirkola was conducted. Zinc levels Serum simultaneously with other blood tests in the early hours of hospitalization. Zinc serum level was defined 70 to 120 micrograms per deciliter.Findings: The difference in mean of zinc level in patients and control group was not significant (102.6±47.7 in control group vs 100.9±35.8 in patient, p=0.7). Difference in zinc Serum level had statically significant with IHD (under70 0 cases (0), 70 to120 8 cases (24), 120 and upper24 cases (75), p=0.003) and with type of stroke (under70 (3(3.3) hemorrhagic vs 0(0) ischemic), 70 to 120(19(21) vs6 (60)), 120 and upper68 (75.6) vs4 (40), p=0.025) and also with patient and control group (under70 (3(3) in patient's vs 20(20) control group), 70 to 120(25(25) vs54 (54)), 120 and upper72 (72) vs26 (26), p<0001). In patients group 72(73.5) of cases had zinc serum level above 120. HLP difference was significant in patient and control group (50(50) in control group vs 35(35) in patients, p=0.04). Regression logistic show that IHD (p<0001, OR=30, CI=6-152), HLP (p<0001, OR=4, CI=9.09-1.85), zinc serum level (p<0001, OR=15.5, CI=4-59.8) had significant role.Conclusions: Zinc serum levels, Ischemic Heart Disease, Hyperlipidemia were most risk factor that play role in Babol stroke patients.