Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/21072
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dc.contributor.authorMartínez-González, Miguel Ángelen_US
dc.contributor.authorGarcía-Arellano, Anaen_US
dc.contributor.authorToledo, Estefaníaen_US
dc.contributor.authorBes-Rastrollo, Mairaen_US
dc.contributor.authorBulló, Mónicaen_US
dc.contributor.authorCorella, Doloresen_US
dc.contributor.authorFitó, Montserraten_US
dc.contributor.authorRos, Emilioen_US
dc.contributor.authorLamuela-Raventós, Rosa Maríaen_US
dc.contributor.authorRekondo, Javieren_US
dc.contributor.authorGómez-Gracia, Enriqueen_US
dc.contributor.authorFiol, Miquelen_US
dc.contributor.authorSantos-Lozano, Jose Manuelen_US
dc.contributor.authorSerra-Majem, Lluisen_US
dc.contributor.authorMartínez, J. Alfredoen_US
dc.contributor.authorEguaras, Soniaen_US
dc.contributor.authorSáez-Tormo, Guillermoen_US
dc.contributor.authorPintó, Xavieren_US
dc.contributor.authorEstruch, Ramónen_US
dc.date.accessioned2017-03-24T03:30:43Z-
dc.date.accessioned2018-02-21T14:21:17Z-
dc.date.available2017-03-24T03:30:43Z-
dc.date.available2018-02-21T14:21:17Z-
dc.date.issued2014en_US
dc.identifier.issn1932-6203en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/21072-
dc.description.abstractBackground: Different indexes of regional adiposity have been proposed for identifying persons at higher risk of death. Studies specifically assessing these indexes in large cohorts are scarce. It would also be interesting to know whether a dietary intervention may counterbalance the adverse effects of adiposity on mortality. Methods: We assessed the association of four different anthropometric indexes (waist-to-height ratio (WHtR), waist circumference (WC), body mass index (BMI) and height) with all-cause mortality in 7447 participants at high cardiovascular risk from the PREDIMED trial. Forty three percent of them were men (55 to 80 years) and 57% were women (60 to 80 years). All of them were initially free of cardiovascular disease. The recruitment took place in 11 recruiting centers between 2003 and 2009. Results: After adjusting for age, sex, smoking, diabetes, hypertension, intervention group, family history of coronary heart disease, and leisure-time physical activity, WC and WHtR were found to be directly associated with a higher mortality after 4.8 years median follow-up. The multivariable-adjusted HRs for mortality of WHtR (cut-off points: 0.60, 0.65, 0.70) were 1.02 (0.78-1.34), 1.30 (0.97-1.75) and 1.55 (1.06-2.26). When we used WC (cut-off points: 100, 105 and 110 cm), the multivariable adjusted Hazard Ratios (HRs) for mortality were 1.18 (0.88-1.59), 1.02 (0.74-1.41) and 1.57 (1.19-2.08). In all analyses, BMI exhibited weaker associations with mortality than WC or WHtR. The direct association between WHtR and overall mortality was consistent within each of the three intervention arms of the trial. Conclusions: Our study adds further support to a stronger association of abdominal obesity than BMI with total mortality among elderly subjects at high risk of cardiovascular disease. We did not find evidence to support that the PREDIMED intervention was able to counterbalance the harmful effects of increased adiposity on total mortality. Trial Registration: Controlled-Trials. com ISRCTN35739639en_US
dc.formatapplication/pdf-
dc.languageengen_US
dc.relation.ispartofPLoS ONEen_US
dc.rightsby-nc-nd-
dc.sourcePLoS ONE [EISSN 1932-6203], v. 9 (7), e103246, (Julio 2014)en_US
dc.subject3206 Ciencias de la nutriciónen_US
dc.subject.otherObesityen_US
dc.subject.otherMortalityen_US
dc.subject.otherElderlyen_US
dc.subject.otherCaridovascular risk factoren_US
dc.subject.otherPREDIMED studyen_US
dc.titleObesity indexes and total mortality among elderly subjects at high cardiovascular risk: The PREDIMED studyen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0103246en_US
dc.identifier.scopus84905043716-
dc.contributor.authorscopusid7004290629-
dc.contributor.authorscopusid16506516700-
dc.contributor.authorscopusid7003562288-
dc.contributor.authorscopusid56247740200-
dc.contributor.authorscopusid6602243634-
dc.contributor.authorscopusid7003570538-
dc.contributor.authorscopusid57208853460-
dc.contributor.authorscopusid35474202600-
dc.contributor.authorscopusid7003644939-
dc.contributor.authorscopusid55639977200-
dc.contributor.authorscopusid57202571697-
dc.contributor.authorscopusid7005315313-
dc.contributor.authorscopusid6602779360-
dc.contributor.authorscopusid35596972100-
dc.contributor.authorscopusid57205314636-
dc.contributor.authorscopusid56297443800-
dc.contributor.authorscopusid7005090846-
dc.contributor.authorscopusid7004430064-
dc.contributor.authorscopusid7005989830-
dc.identifier.crisid-;-;-;-;-;-;-;-;-;-;-;-;-;2693;-;-;-;-;--
dc.identifier.eissn1932-6203-
dc.identifier.issue7-
dc.relation.volume9en_US
dc.investigacionCiencias de la Saluden_US
dc.project.referenceRTIC G03/140; CNIC 06/2007; PI04-2239; PI 05/2584; CP06/00100; PI07/0240; PI07/1138; PI07/0954; PI 07/0473; PI10/01407; PI10/02658; PI11/01647; P11/02505; AGL-2009-13906-C02; AGL2010-22319-C03; PI0105/2007; ACOMP06109; GVACOMP2010-181; GVACOMP2011-151; CS2010-AP-111; CS2011-AP-042; P27/2011-
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess-
dc.type2Artículoen_US
dc.identifier.external-;-;-;-;-;-;-;-;-;-;-;-;-;2693;-;-;-;-;--
dc.utils.revisionen_US
dc.date.coverdateJulio 2014en_US
dc.identifier.supplement-;-;-;-;-;-;-;-;-;-;-;-;-;2693;-;-;-;-;--
dc.identifier.ulpgces
dc.description.sjr1,545
dc.description.jcr3,234
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.erihplusERIH PLUS
item.grantfulltextopen-
item.fulltextCon texto completo-
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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