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2 "Kwang Mi Lee"
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Family Functioning and Quality of Life of the Family Care-giver in Cancer Patients
Kuem Sun Han, Soon Yong Khim, Sook Ja Lee, Eun Sook Park, Young Joo Park, Jeong Hwa Kim, Kwang Mi Lee, Hyun Chul Kang, Ji Won Yoon
Journal of Korean Academy of Nursing 2006;36(6):983-991.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2006.36.6.983
AbstractAbstract PDF
Purpose

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.

Method

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.

Results

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.

Conclusion

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.

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Influencing Factors on Symptoms of Stress among Hospital Staff Nurses
KuemSun Han, Nam Sin Kim, Jeong Hwa Kim, Kwang Mi Lee
Journal of Korean Academy of Nursing 2004;34(7):1307-1314.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2004.34.7.1307
AbstractAbstract PDF
Purpose

The purpose of this study was to identify the factors influencing Symptoms of Stress among hospital staff nurses.

Method

Data was collected by questionnaires from 249 hospital staff nurses in three General Hospital. The data were analyzed using descriptive statistics, pearson correlation coefficients, and stepwise multiple regression.

Results

The score of the symptoms of stress showed a significantly positive correlation with the score of work stress(r=.22, p=.00). The symptoms of stress showed a significantly negative correlation with the score of social support(r=-.28, p=.00), self efficacy(r=-.31, p=.00), and hardiness(r=-.24, p=.00). The most powerful predictor of symptoms of stress was social support and the variance explained was 16%. A combination of social support, ways of coping, and work stress account for 32% of the variance in symptoms of stress among hospital staff nurses.

Conclusion

This study suggests that social support, ways of coping, self efficacy, hardiness, and work stress are significantly influencing factors on symptoms of stress among hospital staff nurses.

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