Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/30764
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOncina Canovas, Alejandro-
dc.contributor.authorVioque, Jesús-
dc.contributor.authorGonzález Palacios, Sandra-
dc.contributor.authorMartínez González, Miguel Ángel-
dc.contributor.authorSalas-Salvadó, Jordi-
dc.contributor.authorCorella, Dolores-
dc.contributor.authorZomeño, M. Dolores-
dc.contributor.authorMartínez, J. Alfredo-
dc.contributor.authorAlonso-Gómez, Ángel-
dc.contributor.authorWärnberg, Julia-
dc.contributor.authorRomaguera, Dora-
dc.contributor.authorLópez-Miranda, José-
dc.contributor.authorEstruch, Ramón-
dc.contributor.authorBernal-López, Rosa M.-
dc.contributor.authorLapetra, José-
dc.contributor.authorSerra-Majem, J. Luis-
dc.contributor.authorBueno Cavanillas, Aurora-
dc.contributor.authorTur, Josep A.-
dc.contributor.authorMartín-Sánchez, Vicente-
dc.contributor.authorPintó, Xavier-
dc.contributor.authorDelgado-Rodríguez, Miguel-
dc.contributor.authorMatía-Martín, Pilar-
dc.contributor.authorVidal, Josep-
dc.contributor.authorVázquez, Clotilde-
dc.contributor.authorDaimiel, Lidia-
dc.contributor.authorRos, Emili-
dc.contributor.authorToledo, Estefanía-
dc.contributor.authorBablo, Nancy-
dc.contributor.authorSorli, José V.-
dc.contributor.authorSchöder, Helmut-
dc.contributor.authorZulet, M. Angeles-
dc.contributor.authorSorto-Sánchez, Carolina-
dc.contributor.authorBarón López, Francisco Javier-
dc.contributor.authorCompañ Gabucio, Laura M-
dc.contributor.authorMorey, Marga-
dc.contributor.authorGarcía-Ríos, Antonio-
dc.contributor.authorCasas, Rosa-
dc.contributor.authorGómez Pérez, Ana María-
dc.contributor.authorSantos Lozano, José Manuel-
dc.contributor.authorVazquez-Ruiz, Zenaida-
dc.contributor.authorNishi, Stephanie-
dc.contributor.authorAsensio, Eva M.-
dc.contributor.authorSoldevilla, Nuria-
dc.contributor.authorAbete, Itziar-
dc.contributor.authorGoikolea-Güemez, Leire-
dc.contributor.authorBuil-Cosiales, Pilar-
dc.contributor.authorGarcía-Gavilán, Jesús F.-
dc.contributor.authorCanals, Erik-
dc.contributor.authorTorres-Collado, Laura-
dc.contributor.authorGarcia de la Hera, Manuela-
dc.contributor.otherDepartamentos de la UMH::Salud Pública, Historia de la Ciencia y Ginecologíaes_ES
dc.date.accessioned2024-01-26T11:33:51Z-
dc.date.available2024-01-26T11:33:51Z-
dc.date.created2021-08-09-
dc.identifier.citationEuropean Journal of Nutrition (2022) 61:357-372es_ES
dc.identifier.issn1436-6207-
dc.identifier.issn1436-6215-
dc.identifier.urihttps://hdl.handle.net/11000/30764-
dc.description.abstractPurpose We explored the cross-sectional association between the adherence to three different provegetarian (PVG) food patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), and the cardiometabolic risk in adults with metabolic syndrome (MetS) of the PREDIMED-Plus randomized intervention study. Methods We performed a cross-sectional analysis of baseline data from 6439 participants of the PREDIMED-Plus randomized intervention study. The gPVG food pattern was built by positively scoring plant foods (vegetables/fruits/legumes/ grains/potatoes/nuts/olive oil) and negatively scoring, animal foods (meat and meat products/animal fats/eggs/fish and seafood/dairy products). The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/ fruit juices/sugar-sweetened everages/sweets and desserts), splitting grains and potatoes and scoring them differently. Multivariable-adjusted robust linear regression using MM-type estimator was used to assess the association between PVG food patterns and the standardized Metabolic Syndrome score (MetS z-score), a composed index that has been previously used to ascertain the cardiometabolic risk, adjusting for potential confounders. Results A higher adherence to the gPVG and hPVG was associated with lower cardiometabolic risk in multivariable models. The regression coefficients for 5th vs. 1st quintile were − 0.16 (95% CI: − 0.33 to 0.01) for gPVG (p trend: 0.015), and − 0.23 (95% CI: − 0.41 to − 0.05) for hPVG (p trend: 0.016). In contrast, a higher adherence to the uPVG was associated with higher cardiometabolic risk, 0.21 (95% CI: 0.04 to 0.38) (p trend: 0.019). Conclusion Higher adherence to gPVG and hPVG food patterns was generally associated with lower cardiovascular risk, whereas higher adherence to uPVG was associated to higher cardiovascular risk.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent16es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDietary food patternses_ES
dc.subjectCardiometabolic riskes_ES
dc.subjectMetabolic syndromees_ES
dc.subjectPro-vegetarianes_ES
dc.titlePro‑vegetarian food patterns and cardiometabolic risk in the PREDIMED‑Plus study: a cross‑sectional baseline analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1007/s00394-021-02647-4es_ES
Appears in Collections:
Artículos Salud Pública, Historia de la Ciencia y Ginecología


Thumbnail

View/Open:
 Pro vegetarian food patterns and cardiometabolic risk in the predimed plus study a cross sectional baseline analysis.pdf

787,4 kB
Adobe PDF
Share:


Creative Commons ???jsp.display-item.text9???