Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/24514
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dc.contributor.authorSerra-Majem, Lluisen_US
dc.contributor.authorBes-Rastrollo, Mairaen_US
dc.contributor.authorRomán Viñas, Blancaen_US
dc.contributor.authorPfrimer, Karinaen_US
dc.contributor.authorSánchez-Villegas, Almudenaen_US
dc.contributor.authorMartínez-González, Miguel Ángelen_US
dc.date.accessioned2017-11-15T03:33:54Z-
dc.date.accessioned2018-03-16T09:15:32Z-
dc.date.available2017-11-15T03:33:54Z-
dc.date.available2018-03-16T09:15:32Z-
dc.date.issued2009en_US
dc.identifier.issn0007-1145en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/24514-
dc.description.abstractDietary patterns have been related to health outcomes and morbi-mortality. Mediterranean diet indexes are correlated with adequate nutrient intake. The objective of the present study was to analyse the adequacy of nutrient intake of a posteriori defined Mediterranean (MDP) and Western (WDP) diet patterns in the Seguimiento Universidad de Navarra (SUN) cohort. A sample of 17197 subjects participated in the study. Participants completed a 136-item validated semi-quantitative FFQ. Principal component analysis was used to define dietary patterns. Individuals were classified according to quintiles of adherence based on dietary pattern scores. Non-dietary variables, such as smoking and physical activity habits, were also taken into account. The probability approach was used to assess nutrient intake adequacy of certain vitamins (vitamins B12, B6, B3, B2, B1, A, C, D and E) and minerals (Na, Zn, iodine, Se, folic acid, P, Mg, K, Fe and Ca). Logistic regression analysis was used to assess the adequacy of nutrient intake according to adherence to dietary patterns. WDP and MDP were defined. A higher quintile of adherence to an MDP was associated to a lower prevalence of inadequacy for the intake of Zn, iodine, vitamin E, Mg, Fe, vitamin B1, vitamin A, Se, vitamin C and folic acid. The adjusted OR for not reaching at least six (or at least ten) nutrient recommendations were 009 (95% CI: 007, 011) (and 002 (95% CI: 000, 016)) for the upper quintile of MDP and 44 (95% CI: 36, 55) and 25 (95% CI: 11, 54) for the WDP. The MDP was associated to a better profile of nutrient intake.en_US
dc.formatapplication/pdf-
dc.languageengen_US
dc.relationRed Alimentación Saludable en la Prevención Primaria de Enfermedades Crónicas: la Red Predimed. (Retics 2006)en_US
dc.relation.ispartofBritish Journal of Nutritionen_US
dc.rightsby-nc-nd-
dc.sourceBritish Journal of Nutrition [ISSN 0007-1145] v. 101 (Suppl. 2), p. S21-S28, (Julio 2009)en_US
dc.subject3206 Ciencias de la nutriciónen_US
dc.subject32 Ciencias médicasen_US
dc.subject.otherDietary patternsen_US
dc.subject.otherFactor analysisen_US
dc.subject.otherProbability approachen_US
dc.subject.otherNutrient adequacyen_US
dc.subject.otherMediterranean dieten_US
dc.subject.otherMicronutrient intakeen_US
dc.titleDietary patterns and nutritional adequacy in a Mediterranean countryen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1017/S0007114509990559en_US
dc.identifier.scopus2-s2.0-70149098218-
dc.identifier.scopus70149098218-
dc.identifier.isi000268650500005-
dc.contributor.authorscopusid35596972100-
dc.contributor.authorscopusid56247740200-
dc.contributor.authorscopusid6508195983-
dc.contributor.authorscopusid25648538400-
dc.contributor.authorscopusid6602876903-
dc.contributor.authorscopusid7004290629-
dc.identifier.crisid2693;-;-;-;3668;--
dc.identifier.eissn1475-2662-
dc.description.lastpageS28en_US
dc.identifier.issueSUPPL. 2-
dc.description.firstpageS21en_US
dc.relation.volume101en_US
dc.investigacionCiencias de la Saluden_US
dc.project.referencePI042241; PI040233; PI050976; PI070240; PI0801943; RD 06/0045; PI41/2005; PI36/2008-
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess-
dc.type2Artículoen_US
dc.contributor.daisngid28836-
dc.contributor.daisngid154711-
dc.contributor.daisngid1559866-
dc.contributor.daisngid879616-
dc.contributor.daisngid289030-
dc.contributor.daisngid17754-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Serra-Majem, L-
dc.contributor.wosstandardWOS:Bes-Rastrollo, M-
dc.contributor.wosstandardWOS:Roman-Vinas, B-
dc.contributor.wosstandardWOS:Pfrimer, K-
dc.contributor.wosstandardWOS:Sanchez-Villegas, A-
dc.contributor.wosstandardWOS:Martinez-Gonzalez, MA-
dc.date.coverdateJulio 2009en_US
dc.identifier.supplement2693;-;-;-;3668;--
dc.identifier.supplement2693;-;-;-;3668;--
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.jcr3,446
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.project.principalinvestigatorSerra Majem, Luis-
crisitem.author.deptGIR IUIBS: Nutrición-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.deptGIR IUIBS: Nutrición-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.orcid0000-0002-9658-9061-
crisitem.author.orcid0000-0001-7733-9238-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameSerra Majem, Luis-
crisitem.author.fullNameSánchez Villegas,Almudena-
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