Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44622
DC FieldValueLanguage
dc.contributor.authorBabio, N.
dc.contributor.authorMartínez-González, M. A.
dc.contributor.authorEstruch, R.
dc.contributor.authorWärnberg, J.
dc.contributor.authorRecondo, J.
dc.contributor.authorOrtega-Calvo, M.
dc.contributor.authorSerra-Majem, L.
dc.contributor.authorCorella, D.
dc.contributor.authorFitó, M.
dc.contributor.authorRos, E.
dc.contributor.authorBecerra-Tomás, N.
dc.contributor.authorBasora, J.
dc.contributor.authorSalas-Salvadó, J.
dc.date.accessioned2018-11-22T01:08:31Z-
dc.date.available2018-11-22T01:08:31Z-
dc.date.issued2015
dc.identifier.issn0939-4753
dc.identifier.urihttp://hdl.handle.net/10553/44622-
dc.description.abstractBackground and aims: Several studies have demonstrated a relationship between increased serum uric acid (SUA) concentrations and the prevalence of metabolic syndrome (MetS) in the oriental population. However, to the best of our knowledge, the association between SUA and MetS has never been investigated in elderly European individuals at high cardiovascular risk. The aim of this study was to conduct a cross-sectional and prospective evaluation of the associations between SUA concentrations and the MetS in elderly individuals at high cardiovascular risk.Methods and results: Men and women (55-80 years of age) from different PREDIMED (Prevencion con DIeta MEDiterranea) recruiting centers were studied. Baseline cross-sectional (n = 4417) and prospective assessments (n = 1511) were performed. MetS was defined in accordance with the updated harmonized criteria. Anthropometric measurements and biochemical determinations were assessed at baseline and yearly during follow-up. Unadjusted and adjusted regression models were fitted to assess the risk of MetS and its components according to the levels of baseline SUA.Participants in the highest baseline sex-adjusted SUA quartile showed an increased prevalence of MetS than those in the lowest quartile, even after adjusting for potential confounders (odd ratio (OR): 2.3 (95% confidence interval (CI), 1.8-2.8); P < 0.001). Participants in the highest baseline sex-adjusted SUA quartile presented a higher incidence of new-onset MetS than those in the lowest quartile (hazard ratios (HR): 1.4 (95% CI, 1.1-1.9); P < 0.001).Participants initially free at baseline of hypertriglyceridemia (HR: 1.9 (1.6-2.4); P < 0.001), low high-density lipoprotein (HDL)-cholesterol (HR: 1.4 (1.1-1.7); P Z 0.002), and hypertension components of MetS (HR: 2.0 (1.2-3.3); P = 0.008) and who were in the upper quartile of SUA had a significantly higher risk of developing these MetS components during follow-up. Conclusions: Elevated SUA concentrations are significantly associated with the development of MetS. (C) 2014 Elsevier B.V. All rights reserved.
dc.publisher0939-4753
dc.relation.ispartofNutrition, Metabolism and Cardiovascular Diseases
dc.sourceNutrition, Metabolism and Cardiovascular Diseases[ISSN 0939-4753],v. 25, p. 173-180
dc.subject.otherCardiovascular Risk-Factors
dc.subject.otherHyperuricemia
dc.subject.otherPrevalence
dc.subject.otherCohort
dc.subject.otherMarker
dc.subject.otherLevel
dc.subject.otherDiet
dc.titleAssociations between serum uric acid concentrations and metabolic syndrome and its components in the PREDIMED study
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.numecd.2014.10.006
dc.identifier.scopus84964292899-
dc.identifier.isi000349402700007
dc.contributor.authorscopusid24279242400
dc.contributor.authorscopusid7004290629
dc.contributor.authorscopusid56200287800
dc.contributor.authorscopusid7005989830
dc.contributor.authorscopusid22636249900
dc.contributor.authorscopusid56154343600
dc.contributor.authorscopusid7003656963
dc.contributor.authorscopusid35596972100
dc.contributor.authorscopusid7003570538
dc.contributor.authorscopusid6602891390
dc.contributor.authorscopusid57202558934
dc.contributor.authorscopusid35474202600
dc.contributor.authorscopusid56416500800
dc.contributor.authorscopusid23017786300
dc.contributor.authorscopusid7003357665
dc.description.lastpage180
dc.description.firstpage173
dc.relation.volume25
dc.type2Artículoes
dc.contributor.daisngid691402
dc.contributor.daisngid17754
dc.contributor.daisngid19357
dc.contributor.daisngid230026
dc.contributor.daisngid6688626
dc.contributor.daisngid3813124
dc.contributor.daisngid28836
dc.contributor.daisngid25404
dc.contributor.daisngid74443
dc.contributor.daisngid23007
dc.contributor.daisngid4488444
dc.contributor.daisngid348215
dc.contributor.daisngid25605
dc.contributor.wosstandardWOS:Babio, N
dc.contributor.wosstandardWOS:Martinez-Gonzalez, MA
dc.contributor.wosstandardWOS:Estruch, R
dc.contributor.wosstandardWOS:Warnberg, J
dc.contributor.wosstandardWOS:Recondo, J
dc.contributor.wosstandardWOS:Ortega-Calvo, M
dc.contributor.wosstandardWOS:Serra-Majem, L
dc.contributor.wosstandardWOS:Corella, D
dc.contributor.wosstandardWOS:Fito, M
dc.contributor.wosstandardWOS:Ros, E
dc.contributor.wosstandardWOS:Becerra-Tomas, N
dc.contributor.wosstandardWOS:Basora, J
dc.contributor.wosstandardWOS:Salas-Salvado, J
dc.date.coverdateFebrero 2015
dc.identifier.ulpgces
dc.description.sjr1,568
dc.description.jcr3,39
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IUIBS: Nutrición-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.orcid0000-0002-9658-9061-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameSerra Majem, Luis-
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