Back to Journals » Clinical Epidemiology » Volume 5 » Issue 1

Socioeconomic status in HCV infected patients – risk and prognosis

Authors Omland LH, Osler M , Jepsen P, Krarup H , Weis N, Christensen PB, Roed C, Sørensen HT, Obel N

Received 12 February 2013

Accepted for publication 22 March 2013

Published 31 May 2013 Volume 2013:5(1) Pages 163—172


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Lars Haukali Omland,1 Merete Osler,2 Peter Jepsen,3,4 Henrik Krarup,5 Nina Weis,6 Peer Brehm Christensen,7 Casper Roed,1 Henrik Toft Sørensen,3 Niels Obel1

On behalf of the DANVIR Cohort Study

1Department of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; 2Research Center for Prevention and Health, Copenhagen University Hospital, Glostrup Hospital, Glostrup, Denmark; 3Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 4Department of Medicine V (Hepatology and Gastroenterology), Aarhus University Hospital, Aarhus, Denmark; 5Department of Clinical Biochemistry, Aalborg Hospital, Aalborg, Denmark; 6Department of Infectious Diseases, Copenhagen University Hospital, Hvidovre Hospital, Hvidovre, Denmark; 7Department of Infectious Diseases, Odense University Hospital, Odense, Denmark

Background and aims: It is unknown whether socioeconomic status (SES) is a risk factor for hepatitis C virus (HCV) infection or a prognostic factor following infection.
Methods: From Danish nationwide registries, we obtained information on three markers of SES: employment, income, and education. In a case control design, we examined HCV infected patients and controls; conditional logistic regression was employed to obtain odds ratios (ORs) for HCV infection for each of the three SES markers, adjusting for the other two SES markers, comorbidity, and substance abuse. In a cohort design, we used Cox regression analysis to compute mortality rate ratios (MRRs) for each of the three SES markers, adjusting for the other two SES markers, comorbidity level, age, substance abuse, and gender.
Results: When compared to employed persons, ORs for HCV infection were 2.71 (95% confidence interval [CI]: 2.24–3.26) for disability pensioners and 2.24 (95% CI: 1.83–2.72) for the unemployed. When compared to persons with a high income, ORs were 1.64 (95% CI: 1.34–2.01) for low income persons and 1.19 (95% CI: 1.02–1.40) for medium income persons. The OR was 1.35 (95% CI: 1.20–1.52) for low education (no more than basic schooling). When compared to employed patients, MRRs were 1.71 (95% CI: 1.22–2.40) for unemployed patients and 2.24 (95% CI: 1.63–3.08) for disability pensioners. When compared to high income patients, MRRs were 1.47 (95% CI: 1.05–2.05) for medium income patients and 1.64 (95% CI: 1.13–2.34) for low income patients. Educational status was not associated with mortality.
Conclusion: Low SES was associated with an increased risk of HCV infection and with poor prognosis in HCV infected patients.

Keywords: survival, socioeconomic status, risk factor, prognosis

Creative Commons License © 2013 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.