This study was designed to construct a structural model for symptom management of life of the patients with chronic fatigue. The hypothetical model was developed based on the literature review and Self-regulating Model.

Data were collected by questionnaires from 252 patients with chronic fatigue in the 8 community from December 2002 to April 2003 in Seoul. Data analysis was done with SAS for descriptive statistics and PC-LISREL Program for Covariance structural analysis.

The fit of the hypothetical model to the data was moderate, thus it was modified by excluding 4 path and including free parameters and 3 path to it. The modified model with path showed a good fitness to the empirical data(χ²=318.11, p=0.0, GFI= .98, AGFI= .98, NNFI= .95, RMSR= .03, RMSEA= .05). The symptoms of stress, self-efficacy, and present fatigue level were found to have significant direct effect on symptom management of the patients with chronic fatigue. The ways of coping, perceived stress, and fatigue symptom were found to have indirect effects on symptom management of the patients with chronic fatigue.

The derived model is considered appropriate in explaining and predicting symptom management of the patients with chronic fatigue. Therefore, it can effectively be used as a reference model for further studies and suggested direction in nursing practice.

The purpose of this study was to investigate the relationships among variables of somatic attribution, chronic pain, depression and chronic fatigue in the elderly.

Empirical data for testing hypothetical models was collected from 311 people over 65 years old in a community settings in Seoul, Korea in June and July, 2000. Data were analyzed by descriptive statistics and correlational analysis using pc-SAS program. The Linear Structural Modeling(LISREL) 8.0 program was used to find the best fit model which explained causal relationship of variables.

According to Accepted model, the relation of variables is that the somatic attribution is the influencing variable to chronic pain and depression and chronic pain and depression is the influencing variable to chronic fatigue.

The findings of this study give useful information to construct intervention program relating chronic pain, depression and chronic fatigue for the elderly.