Biopsychosocial predictors of fatigue in chronic hepatitis C.

J Psychosom Res

Department of Neuropsychiatry and Behavioral Science, Texas Tech University Health Sciences Center, 3601 4th Street, STOP 8321, Lubbock, TX 79430, USA.

Published: February 2005

Objective: The objective of this study was to investigate the relationship of biopsychosocial variables to fatigue in patients with chronic hepatitis C (CHC) with the goal of identifying areas of possible intervention.

Method: Ninety-four patients with CHC not on antiviral therapy completed a demographic questionnaire and measures of fatigue, health-related quality of life, and depression. Fibrosis stage and relevant medical information were obtained from medical records.

Results: A stepwise multiple regression analysis revealed that the most significant predictor of fatigue was poor social functioning, followed by poor physical functioning, greater depression, and female gender. Together, these variables accounted for 68% of the total variance in fatigue.

Discussion: Study findings suggest that treatment strategies for fatigue in patients with CHC should focus on increasing social functioning in addition to improving physical functioning and decreasing depressive symptoms. Research investigating the effectiveness of interventions targeting social functioning, such as support groups and supportive counseling, is recommended.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jpsychores.2004.07.003DOI Listing

Publication Analysis

Top Keywords

social functioning
12
chronic hepatitis
8
fatigue patients
8
patients chc
8
physical functioning
8
fatigue
5
functioning
5
biopsychosocial predictors
4
predictors fatigue
4
fatigue chronic
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!