The purpose of this study was to construct and test a structural equation modeling on burnout of clinical nurses based on CS-CF model.

A survey using a structured questionnaire was conducted with 557 clinical nurses. Data were analyzed using structural equation modeling.

The modified hypothetical model yielded the following χ²=289.70, p<.001, RMSEA=.09, GFI=.93, TLI=.91, CFI=.94, PCFI=.65, AIC=363.21, SRMR=.05 or less and showed good fit indices. Nursing work environment, patient safety culture and resilience showed indirect effects on burnout while compassion fatigue and compassion satisfaction had direct effects.

Results of this study suggest that compassion fatigue must be decreased and compassion satisfaction has to be increased, while burnout is lowered by enhancing the clinical nursing work environment, patient safety culture and resilience. In addition, more variables and longitudinal studies are necessary to validate the clear cause-and-effect relationship between the relevant variables.

The purpose of this study was to examine burnout and job satisfaction among nurses based on Job Demand-Resource Model.

A survey using a structured questionnaire was conducted with 464 hospital nurses. Analysis of data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for the structural equation model.

The hypothetical model yielded the following Chi-square=34.13 (p = <.001), df=6, GFI=.98, AGFI=.92, CFI=.94, RMSR=.02, NFI=.93, IFI=.94 and showed good fit indices. Workload had a direct effect on emotional exhaustion (β = 0.39), whereas supervisor support had direct effects on emotional exhaustion (β = -0.24), depersonalization (β = -0.11), and low personal accomplishment (β = -0.22). Emotional exhaustion (β = -0.42), depersonalization (β = -0.11) and low personal accomplishment (β = -0.36) had significant direct effects on job satisfaction.

The results suggest that nurses' workload should be decreased and supervisor's support should be increased in order to retain nurses. Further study with a longitudinal design is necessary.

The purpose of this study was to identify the effects of compassion satisfaction and social support in the relationship between compassion fatigue and burnout among hospital nurses.

The participants were 430 nurses working in general hospitals. Data were collected with self-administrated questionnaires and analyzed by hierarchical multiple regression.

(a) Compassion fatigue had a significant positive effect on burnout; (b) social support and compassion satisfaction had negative effects on burnout, and (c) social support and compassion satisfaction did not moderate the effects of compassion fatigue on burnout.

These findings provide strong empirical evidence for the importance of compassion fatigue, compassion satisfaction and social support in explaining burnout of nurses. Also, it would be of great value to further define compassion fatigue and compassion satisfaction even though these concepts are not accepted in the realities of health care.

This study was done to explore the knowledge structure of Korean Nursing Science.

The main variables were key words from the research papers that were presented in the Journal of Korean Academy of Nursing and journals of the seven branches of the Korean Academy of Nursing. English titles and abstracts of the papers (n=5,936) published from 1995 through 2009 were included. Noun phrases were extracted from the corpora using an in-house program (BiKE Text Analyzer), and their co-occurrence networks were generated via a cosine similarity measure, and then the networks were analyzed and visualized using Pajek, a Social Network Analysis program.

With the hub and authority measures, the most important research topics in Korean Nursing Science were identified. Newly emerging topics by three-year period units were observed as research trends.

This study provides a systematic overview on the knowledge structure of Korean Nursing Science. The Social Network Analysis for this study will be useful for identifying the knowledge structure in Nursing Science.

The purpose of this study was to examine the factors affecting eating attitude of female undergraduates according to BMI.

A descriptive survey design with a convenience sampling was used and data collection was done using a self-report questionnaire answered by 406 female undergraduates from four universities located in Seoul, Kangwon, Gyeongsangbuk and Chungcheongnam Provinces. ANOVA, Pearson correlation coefficients, and hierarchial multiple regression were used the SPSS WIN 17.0 Program to analyze the data.

With respect to BMI, the students were found to be in 3 groups, whose differences in eating attitude were significant. Eating attitude had significant positive correlation with height (r=.118, p=.017), weight (r=.267, p<.000), BMI (r=.239, p<.001), and depression (r=.375, p<.001), and negative correlation with subjective well-being (r=-.153, p=.002) and body esteem (r=-.287, p<.001). In the hierarchial multiple regression analysis, college major, height, weight and religion, were controlled. Depression and body esteem regarding weight significantly predicted 40.7% of eating attitude for the underweight group and normal weight group, body esteem: weight and depression were significant predictors for 27.5% of eating attitude for the normal weight group. Body esteem: weight explained 32.6% of eating attitude for the overweight group.

Findings of this study allow a comprehensive understanding of eating attitudes and related factors among female undergraduates in Korea. Further study with a larger random sample from various universities is necessary.

The purpose of this study was to investigate the determinants of job satisfaction of hospital nurses. The focus was on work rewards. A causal model of job satisfaction of hospital nurses was constructed based on situational perspectives.

The sample for this study consisted of 505 nurses from 2 general hospitals located in Seoul and Kyeonggi Province, Korea. Data were collected with self-administrated questionnaires and analyzed by hierarchical multiple regression.

All variables except workload were positively correlated with job satisfaction. It was found that three task reward variables (workload, meaning, and participation), two organizational reward variables (security and promotional chances) and one social reward variable (family support) had significant influence on nurses' job satisfaction. The explained variance for job satisfaction was 41.4%. The data further indicate that task rewards were the most significant determinants of nurse job satisfaction.

Theses findings provide strong empirical evidence for importance of task, organizational and social reward variables in explaining job satisfaction of nurses. The model used for this study will be useful for predicting nurse job satisfaction.