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Biopsychosocial predictors of fatigue in chronic hepatitis C
Robin C Hilsabeck1, Tarek I Hassanein, William Perry
1Department of Neuropsychiatry and Behavioral Science, Texas Tech University Health Sciences Center, 3601 4th Street, STOP 8321, Lubbock, TX 79430, USA. robin.hilsabeck@ttuhsc.edu
Insights
Biopsychosocial factors significantly impact fatigue in patients with chronic hepatitis C (CHC). Improving social and physical functioning, alongside reducing depression, is key for managing fatigue in CHC patients.
Area of Science:
- Hepatology
- Psychology
- Public Health
Background:
- Chronic hepatitis C (CHC) is a significant global health concern.
- Fatigue is a prevalent and debilitating symptom in CHC patients.
- Understanding the biopsychosocial determinants of fatigue is crucial for effective management.
Purpose of the Study:
- To explore the association between biopsychosocial variables and fatigue severity in CHC patients.
- To identify potential targets for interventions aimed at alleviating fatigue.
Main Methods:
- A cohort of 94 CHC patients not receiving antiviral therapy was assessed.
- Data collected included demographics, fatigue, quality of life, and depression.
- Fibrosis stage and medical data were retrieved from patient records.
Main Results:
- Poor social functioning emerged as the strongest predictor of fatigue.
- Poor physical functioning and increased depression were also significant predictors.
- Female gender was identified as another contributing factor to fatigue.
Conclusions:
- Treatment strategies for CHC-related fatigue should prioritize enhancing social and physical functioning.
- Reducing depressive symptoms is essential for managing fatigue.
- Further research into interventions like support groups and counseling for social functioning is recommended.
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.
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