Material and Methods: This descriptive-analytic study was conducted on 58 eligible, randomly selected patients of 165 hemodialysis patients referred to Panje Azar Hospital in Gorgan. The instruments were a demographic checklist, Fatigue Severity Scale, Beck Anxiety Inventory, and the Beck Depression Inventory. The data was analyzed by SPSS 17 software using Mann-Whitney, Kruskal-Wallis, Spearman's correlation coefficient and linear regression. 

Results: The mean average of fatigue in all patients was 1.66±4.76. Twenty-six of the participants (44.8%) expressed that they suffer from moderate anxiety, 17 (29.3%) from severe depression and 43 (74.1%) from poor quality of sleep. The relationship between fatigue and anxiety (P = 0.006, r = 0.353) and depression (P≤.001, r=0.525) was directly significant whereas the relationship is not significant for sleep quality. 

Conclusion: Given the high prevalence of fatigue in hemodialysis patients and the impact of multiple factors, we strongly recommend that care providers should consider these factors to improve patients’ quality of life.

Material and Methods: This cohort Study was conducted on 966 pregnant women, who were multigravida and 18-35 years, referring to three prenatal care centers. Using convenience sampling, the data was collected by Patient Health Questionaire-9 and analyzed by chi square, Mann-Whitney, Logistic Regression. 

Results: Of 966, 70.1% were depressed and 29.9% were not depressed. The relationship between depression and preeclampsia was significant (P=0.017, adgusted OR=2.99). In 9.32 percent of preeclamptic patients, 91.68 suffered from mild depression in 8.33 percent of them, 91.67% from moderate depression and in 33.33 percent of the preeclamptic patients, 66.67 % suffered from moderate-severe depression. 

Conclusion: Given that dpression may lead to preeclampsia and the intensity of depression is related to preeclampsia, early recognition and treatment of depressed women can be helpful in the management of preeclampsia.