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Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China

BACKGROUND: Metabolic syndrome (MS) and hepatitis B (HBV) infection are two major public health problems in China. There are few studies about their association, and the results of these studies are contradictory. We conducted a retrospective cohort study to assess the association between MS and HBV...

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Autores principales: Zhou, Yanbing, Cui, Yan, Deng, Haiju, Yu, Jinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046151/
https://www.ncbi.nlm.nih.gov/pubmed/24885963
http://dx.doi.org/10.1186/1471-2458-14-516
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author Zhou, Yanbing
Cui, Yan
Deng, Haiju
Yu, Jinming
author_facet Zhou, Yanbing
Cui, Yan
Deng, Haiju
Yu, Jinming
author_sort Zhou, Yanbing
collection PubMed
description BACKGROUND: Metabolic syndrome (MS) and hepatitis B (HBV) infection are two major public health problems in China. There are few studies about their association, and the results of these studies are contradictory. We conducted a retrospective cohort study to assess the association between MS and HBV in a Shanghai community-based cohort. METHODS: Nine hundred seventy-six Shanghai residents were recruited from the Putuo community. 480 HBV infections were in exposed group and 496 non-infections in unexposed group. All metabolic-related parameters and hepatitis B serology were tested with routine biochemical or immunological methods. “Exposed” was defined by HBV infection represented by hepatitis B surface antigen (HBsAg) and without anti-virus treatment. “Unexposed” were subjects who didn’t infect with HBV (Represented by HBsAg) and no MS when they entered the cohort. MS was defined based on the updated National Cholesterol Education Program Adult Treatment Panel III criteria. The Cox proportional hazards model was used to estimate the hazard ratios (HR) and related 95% confidence intervals (95% CI) for the association between HBV infection and MS over a 20-year follow-up period. RESULTS: Of 976 subjects recruited, 480 had latent HBV infection (exposed subjects). After adjusting for age, the crude HR was 2.46 (95% CI: 1.77, 3.41). After adjusting for potential risk factors of MS (age, gender, smoking, passive smoking, alcohol consumption, physical activity, and diet), the HR was 2.27 (95% CI: 1.52, 3.38). CONCLUSIONS: This 20-year follow-up retrospective cohort study in Shanghai showed a positive association between HBV infection and MS.
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spelling pubmed-40461512014-06-06 Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China Zhou, Yanbing Cui, Yan Deng, Haiju Yu, Jinming BMC Public Health Research Article BACKGROUND: Metabolic syndrome (MS) and hepatitis B (HBV) infection are two major public health problems in China. There are few studies about their association, and the results of these studies are contradictory. We conducted a retrospective cohort study to assess the association between MS and HBV in a Shanghai community-based cohort. METHODS: Nine hundred seventy-six Shanghai residents were recruited from the Putuo community. 480 HBV infections were in exposed group and 496 non-infections in unexposed group. All metabolic-related parameters and hepatitis B serology were tested with routine biochemical or immunological methods. “Exposed” was defined by HBV infection represented by hepatitis B surface antigen (HBsAg) and without anti-virus treatment. “Unexposed” were subjects who didn’t infect with HBV (Represented by HBsAg) and no MS when they entered the cohort. MS was defined based on the updated National Cholesterol Education Program Adult Treatment Panel III criteria. The Cox proportional hazards model was used to estimate the hazard ratios (HR) and related 95% confidence intervals (95% CI) for the association between HBV infection and MS over a 20-year follow-up period. RESULTS: Of 976 subjects recruited, 480 had latent HBV infection (exposed subjects). After adjusting for age, the crude HR was 2.46 (95% CI: 1.77, 3.41). After adjusting for potential risk factors of MS (age, gender, smoking, passive smoking, alcohol consumption, physical activity, and diet), the HR was 2.27 (95% CI: 1.52, 3.38). CONCLUSIONS: This 20-year follow-up retrospective cohort study in Shanghai showed a positive association between HBV infection and MS. BioMed Central 2014-05-28 /pmc/articles/PMC4046151/ /pubmed/24885963 http://dx.doi.org/10.1186/1471-2458-14-516 Text en Copyright © 2014 Zhou et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhou, Yanbing
Cui, Yan
Deng, Haiju
Yu, Jinming
Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
title Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
title_full Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
title_fullStr Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
title_full_unstemmed Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
title_short Association between hepatitis B virus infection and metabolic syndrome: a retrospective cohort study in Shanghai, China
title_sort association between hepatitis b virus infection and metabolic syndrome: a retrospective cohort study in shanghai, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046151/
https://www.ncbi.nlm.nih.gov/pubmed/24885963
http://dx.doi.org/10.1186/1471-2458-14-516
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