The purpose of this study was to identify the relationship among quality of life, family coherence, family hardiness, and family resources of the family care-giver caring for a cancer patient.

Data was collected by questionnaires from 137 families with a cancer patient at a General Hospital and Government Cancer Hospital. Data was analyzed using descriptive statistics, pearson correlation coefficients, and stepwise multiple regression.

The score of quality of life showed a significant positive correlation with the score of the level of family sense of coherence, family hardiness, and family resources. The most powerful predictor of quality of life was sense of coherence and the variance was 30%. A combination of sense of coherence and family resources account for 34 % of the variance in quality of life of the family care-giver caring for a cancer patient.

The results showed that family sense of coherence, hardiness, and family resources were significant influencing factors on the quality of life of the family care-giver caring for a cancer patient.

This cross-sectional study was designed to identify anger-expression typesof adolescent women and investigate the relation between the identified anger-expression types and their problem behaviors and health status.

One hundred ninety nine high school freshmen were recruited from September to November, 2003. Data wasanalyzed using descriptive statistics, cluster analysis, χ²-test, ANOVA, and Duncan's multiple comparison test.

Three anger-expression types in adolescent women were found; Anger-out/in, Anger-control/in, and Anger-control type. Adolescent women with frequently using the anger-out/in type and with higher state anger reported more delinquent behaviors, more health risk behaviors, and higher psychosomatic symptoms. However, adolescent women with lower state anger and frequently using the anger-control type reported more depression scores.

There is a need to further clarify the relationship between anger-expression typesand depression in adolescent women. The findings suggest the necessity of a development of the program for lowering the anger level and controlling the unfavorable anger expression types such as the anger-out in.

A structural equation model was analysed to explore the determinants of health behaviors of university students in Korea.

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

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 effecton 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.

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.

The purpose of this study was to identify the factors influencing file-up family stress in the family with a family member having a chronic mental illness.

Data was collected by questionnaires from 365 families with a member having a chronic mental illness, in an outpatient clinic of a General Hospital and Government Psychiatric Hospital in Seoul. The data was analyzed using descriptive statistics, pearson correlation coefficients, and stepwise multiple regression.

The score of file-up stress showed a significantly negative correlation with the score of level of hardiness (r=-.31, p=.00), family support (r=-.13, p=.00), family cohesion (r=-.25, p=.00), and sense of coherence (r=-.26, p=.00). The most powerful predictor of file-up stress was family hardiness and the variance was 11.1%. A combination of hardiness, family support, and sense of coherence account for 14.8 % of the variance in file-up stress of the family with a member having a chronic mental illness.

This study suggests that family support, hardiness, cohesion, and sense of coherence are significant influencing factors on file-up stress inthe family with a member having a chronic mental illness.

This study was designed to construct a structural model for explaining negative outcomes of anger in female adolescents.

Data was collected by questionnaires from 199 female adolescents ina female high school in Seoul. Data analysis was done with SAS for descriptive statistics and a PC-LISREL Program for Covariance structural analysis.

The fit of the hypothetical model to the data was moderate, thus it was modified by excluding 7 paths and adding free parameters to it. The modified model withthe paths showed a good fit to the empirical data(χ² =5.62, p=.69, GFI=.99, AGFI=.97, NFI=.99, NNFI=1.01, RMSR=.02, RMSEA=.00). Trait anger, state anger, and psychosocial problems were found to have a significant direct effect on psychosomatic symptoms. State anger, psychosocial problems, and learning behaviorswere found to have direct effects on depression of female adolescents.

The derived modelis considered appropriate for explaining and predicting negative outcomes of anger in female adolescents. Therefore, it can effectively be used as a reference model for further studies and is a suggested direction in nursing practice.