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Association between serum direct bilirubin with metabolic syndrome and its components based on a longitudinal health check-up study / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 486-490, 2016.
Article Dans Chinois | WPRIM | ID: wpr-237514
ABSTRACT
Objective To investigate the association between serum direct bilirubin (DBIL) with metabolic syndrome (MS) and its components.Methods A dynamic health check-up cohort study was set up from 2006 to 2011.5 258 participants who satisfied the two basic rules1) being free of MS at the 1st health check-up program;2) having at least two intact health checks were included in this study.With generalized estimating equation (GEE) model,after adjusting for items as age,gender,smoking,drinking,alanine aminotransferase,aspartate aminotransferase,γ-glutamyltransferase,uric acid,blood urea nitrogen and white blood cells,the multivariable relative risks (RRs) of DBIL with MS and their components were analyzed.Results The RRs of DBIL for MS was 0.722 (95% CI0.654-0.797),which showing a dose-response.Serum DBIL was negatively associated with obesity and hyperlipidemia.Taking factors as gender and age into account,in the <45 years and 45-55 years groups,the RRs of DBIL for MS in females appeared as 0.516 (95%CI0.349-0.761) and 0.435 (95%CI0.256-0.740).And in males of <45 years and 45-55 years,the RRs of DBIL for MS were 0.738 (95% CI0.644-0.846) and 0.790 (95% CI0.667-0.937),respectively.Conclusions The elevated DBIL levels in serum appeared an early biomarker for MS and its components (obesity and hyperlipidemia).In particular,they may play a role in reducing the risk of MS in both females and males before 55 years of age.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Étude observationnelle / Étude pronostique langue: Chinois Texte intégral: Chinese Journal of Epidemiology Année: 2016 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Type d'étude: Étude observationnelle / Étude pronostique langue: Chinois Texte intégral: Chinese Journal of Epidemiology Année: 2016 Type: Article