The Relationships Between Fatigue, Depression and Quality of Life Among Depression Outpatients

2.50
Hdl Handle:
http://hdl.handle.net/10755/335278
Category:
Full-text
Type:
Presentation
Title:
The Relationships Between Fatigue, Depression and Quality of Life Among Depression Outpatients
Author(s):
Hsu, Ya-Ting
Lead Author STTI Affiliation:
Non-member
Author Details:
Ya-Ting Hsu, BS, happybabybaby@hotmail.com
Abstract:
Session presented on Sunday, July 27, 2014: Purpose: 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. Methods: 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. Results: (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. Conclusion: 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.
Keywords:
Quality of Life; Depression; Fatigue
Repository Posting Date:
17-Nov-2014
Date of Publication:
17-Nov-2014 ; 17-Nov-2014
Other Identifiers:
INRC14PST252
Conference Date:
2014
Conference Name:
25th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Hong Kong
Description:
International Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kong

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.language.isoenen
dc.type.categoryFull-texten
dc.typePresentationen
dc.titleThe Relationships Between Fatigue, Depression and Quality of Life Among Depression Outpatientsen
dc.contributor.authorHsu, Ya-Tingen
dc.contributor.departmentNon-memberen
dc.author.detailsYa-Ting Hsu, BS, happybabybaby@hotmail.comen
dc.identifier.urihttp://hdl.handle.net/10755/335278-
dc.description.abstractSession presented on Sunday, July 27, 2014: Purpose: 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. Methods: 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. Results: (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. Conclusion: 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.en
dc.subjectQuality of Lifeen
dc.subjectDepressionen
dc.subjectFatigueen
dc.date.available2014-11-17T13:48:40Z-
dc.date.issued2014-11-17-
dc.date.issued2014-11-17en
dc.date.accessioned2014-11-17T13:48:40Z-
dc.conference.date2014en
dc.conference.name25th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationHong Kongen
dc.descriptionInternational Nursing Research Congress, 2014 Theme: Engaging Colleagues: Improving Global Health Outcomes. Held at the Hong Kong Convention and Exhibition Centre, Wanchai, Hong Kongen
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