Biopsychosocial predictors of fatigue in chronic hepatitis C.
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.


METHODS
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.


CONCLUSIONS
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.
Hilsabeck
Robin C
RC
Department of Neuropsychiatry and Behavioral Science, Texas Tech University Health Sciences Center, 3601 4th Street, STOP 8321, Lubbock, TX 79430, USA. robin.hilsabeck@ttuhsc.edu
Hassanein
Tarek I
TI
Perry
William
W
D000367:Age Factors; D005221:Fatigue / Q000209:etiology / Q000517:prevention & control / Q000523:psychology*; D005260:Female; D006304:Health Status; D019698:Hepatitis C, Chronic / Q000150:complications / Q000523:psychology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011788:Quality of Life; D012737:Sex Factors; D019966:Substance-Related Disorders