[Structural equation model for the health behaviors of university students in Korea].
PURPOSE
A structural equation model was analysed to explore the determinants of health behaviors of university students in Korea.


METHOD
Nine hundred sixty nine university students were selected by random cluster sampling from five universities located in the central area of Korea.


DATA COLLECTION
The data was collected by questionnaires about demographic characteristics, stressful life events, perceived social support, perceived health status and health behaviors.


RESULTS
1. Gender showed indirect effect on health behaviors. 2. Living together with(out) family had a direct effect on health behaviors: students living with family showed more positive health behaviors. 3. Stressful life events had an indirect effect on health behaviors via perceived health status; a higher score of stressful life events was the predictor for negative health behaviors. 4. A higher score of perceived health status predicted positive health behaviors.


RECOMMENDATION
Each university should be encouraged to develop a health behavior control program and health promotion program for their own university students. It would be more effective to develop health programs separately according to the demographic or social characteristics of the students. It is also necessary for the Ministry of Education to reform the School Health Act and school health policy to strengthen a health promotion program for university students. In conclusion, following studies should identify and promote the validity and reliability of perceived health status and health behaviors measurements.
A Study of the Affecting Factors on the Health Promoting Behaviors of the Clinical Nurses
Purpose: The purpose of this study was to identify the affecting factors on the health promoting behaviors of the clinical nurses. Methods: This study was a trans-sectional survey research. The subjects of this study were 206 clinical nurses. The data were collected by questionnaires and medical records. Results: There were significant positive relationships between health promoting behavior and perceived health status, job satisfaction, familial support. There were significant negative relationships between health promoting behavior and depression. The significant affecting factors on the health promoting behaviors of the clinical nurses were depression, familial support and job satisfaction. These 3 factors explain 18.6% of the health promoting behaviors of the clinical nurses. Conclusion: This study provides the empirical evidence that health promoting behaviors of the clinical nurses are closely related to depression, familial support, and job satisfaction. This results can be used to develop health promoting program for clinical staff nurses.
Frequency distributions of the mixing height over an urban area from SODAR data
The height of the mixing-layer (MLH) is an important parameter in the assessment of the dilution of primarily emitted or secondarily formed air pollutants in the atmospheric boundary-layer. A continuous measurement of MLH is possible only by remote sensing. Here, 17 months of SODAR data have been analysed automatically to derive the MLH over the city of Hannover in Northern Germany. In contrast to earlier studies the MLH has been determined from vertical profiles of the acoustic backscatter intensity and from the variance of the vertical velocity component. The results are presented in form of monthly frequency distributions and mean daily courses of MLH. These statistical evaluations of MLH show a clear annual course and interannual variability. The study shows the possibility to derive meaningful climatological information from long-term SODAR measurements for air quality issues.