The purpose of this study is to understand the distribution of the depression outpatients with fatigue, depression, and quality of life. To investigate the factors which influence the depression outpatient's quality of life.
This study used cross-sectional study design. A total of 150 subjects were recruited by convenience sampling from a teaching hospital. Research instruments included basic demographic questionnaire, Visual Fatigue Scale(VFS), Beck Depression Inventory(BDI-ll), and SF-36 Taiwan version.
(1)There were 96 female(64%) and 54 male(36%).Mean age of female was 52.6 years old (SD = 13.5) and mean age of male was 50.5 years old (SD = 15.8) .
(2)Most of the subjects were moderate depression（N=39，26%）, mean fatigue score was 18. 6（SD=17.9）, and quality of life score was 52.6（SD=20.9）.
(3)The higher fatigue, the higher depression, showed a positive correlation（r=.767，p<.001）. The higher fatigue, the lower quality of life（r=-.781，p<.001）.
(4) The multiple linear regression models showed that fatigue and depression are the best predictors of quality of life. Multiple regression model explained quality of life .302 variances.
Clinical nurses can understand the distribution of fatigue, depression, and quality of life. And understand the factors which influence the depression outpatient's quality of life. Clinical nurses can give depression outpatients supports and interventions to enhance their quality of life.
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