The purpose of this study was to identify the relationship between depression, perceived stress, fatigue and anger in clinical nurses.

A descriptive survey was conducted using a convenient sample. Data was collected by questionnaires from four hundred clinical nurses who worked at a university hospital. Radloff's CES-D for depression, Cohen, Kamarck & Mermelstein's Perceived Stress Scale, VAS for Fatigue, and Spielberger's STAXI for anger were used. The data was analyzed using the pearson correlation coefficient, students' t-test, ANOVA, and stepwise multiple regression with SPSS/WIN 12.0.

The depression of clinical nurses showed a significantly positive correlation to perceived stress(r=.360, p=.000), mental fatigue(r=.471, p=.000), physical fatigue(r=.350, p=.000), trait anger(r=.370, p=.000), anger-in expression(r=.231, p=.000), and anger-control expression(r=.120, p=.016). There was a negative correlation between depression and age(r=-.146, p=.003). The mean score of depression of nurses, 26, was a very high score and 40.8% of clinical nurses were included in a depression group. The main significant predictors influencing depression of clinical nurses were mental fatigue, trait anger, perceived stress, anger-in expression, and state anger, which explained about 32.7%.

These results indicate that clinical nurses with a high degree of perceived stress, mental fatigue and anger-in expression are likely to be depressed.

The purpose of this study was to identify the factors influencing Symptoms of Stress in patients with chronic illness.

Data were collected by questionnaires from 1,748 patients with chronic disease in General Hospital in Seoul. Chronic diseases of were cardiac disease including hypertension, peptic ulcer, pulmonary disease included COPD and asthma, DM, and chronic kidney disease. The data were analyzed using descriptive statistics, pearson correlation coefficients, and stepwise multiple regression.

1. The level of symptoms of stress was moderate(M=2.17). 2. The score of symptoms of stress showed significantly positive correlation with the score of mood state(r=.58, p=.00), perceived stress(r=.57, p=.00), and ways of coping(r=.33, p=.00). The symptoms of stress showed significantly negative correlation with the score of social support(r=-.37, p=.00) and self-esteem(r=-.19, p=.00). 3. The most powerful predictor of symptoms of stress was mood state and the variance explained was 34%. A combination of mood state, ways of coping, perceived stress, social support, and duration of illness account for 45% of the variance in symptoms of stress of the patients with chronic illness.

This study suggest that mood state, ways of coping, perceived stress, and social support are significantly influencing factors on symptoms of stress of the patients with chronic illness.