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Socioeconomic status in HCV infected patients – risk and prognosis

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...

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Autores principales: Omland, Lars Haukali, Osler, Merete, Jepsen, Peter, Krarup, Henrik, Weis, Nina, Christensen, Peer Brehm, Roed, Casper, Sørensen, Henrik Toft, Obel, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3678712/
https://www.ncbi.nlm.nih.gov/pubmed/23766659
http://dx.doi.org/10.2147/CLEP.S43926
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author Omland, Lars Haukali
Osler, Merete
Jepsen, Peter
Krarup, Henrik
Weis, Nina
Christensen, Peer Brehm
Roed, Casper
Sørensen, Henrik Toft
Obel, Niels
author_facet Omland, Lars Haukali
Osler, Merete
Jepsen, Peter
Krarup, Henrik
Weis, Nina
Christensen, Peer Brehm
Roed, Casper
Sørensen, Henrik Toft
Obel, Niels
author_sort Omland, Lars Haukali
collection PubMed
description 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.
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spelling pubmed-36787122013-06-13 Socioeconomic status in HCV infected patients – risk and prognosis Omland, Lars Haukali Osler, Merete Jepsen, Peter Krarup, Henrik Weis, Nina Christensen, Peer Brehm Roed, Casper Sørensen, Henrik Toft Obel, Niels Clin Epidemiol Original Research 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. Dove Medical Press 2013-05-31 /pmc/articles/PMC3678712/ /pubmed/23766659 http://dx.doi.org/10.2147/CLEP.S43926 Text en © 2013 Omland et al, publisher and licensee Dove Medical Press Ltd This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Omland, Lars Haukali
Osler, Merete
Jepsen, Peter
Krarup, Henrik
Weis, Nina
Christensen, Peer Brehm
Roed, Casper
Sørensen, Henrik Toft
Obel, Niels
Socioeconomic status in HCV infected patients – risk and prognosis
title Socioeconomic status in HCV infected patients – risk and prognosis
title_full Socioeconomic status in HCV infected patients – risk and prognosis
title_fullStr Socioeconomic status in HCV infected patients – risk and prognosis
title_full_unstemmed Socioeconomic status in HCV infected patients – risk and prognosis
title_short Socioeconomic status in HCV infected patients – risk and prognosis
title_sort socioeconomic status in hcv infected patients – risk and prognosis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3678712/
https://www.ncbi.nlm.nih.gov/pubmed/23766659
http://dx.doi.org/10.2147/CLEP.S43926
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