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dc.creatorGallardo-Alfaro, Lauraes
dc.creatorBibiloni, Maria Del Mares
dc.creatorMascaró, Catalina M.es
dc.creatorMontemayor, Sofíaes
dc.creatorRuiz-Canela, Migueles
dc.creatorSalas-Salvadó, Jordies
dc.creatorSantos Lozano, José Manueles
dc.creatorTur, Josep A.es
dc.date.accessioned2023-05-10T07:32:43Z
dc.date.available2023-05-10T07:32:43Z
dc.date.issued2020
dc.identifier.citationGallardo-Alfaro, L., Bibiloni, M.D.M., Mascaró, C.M., Montemayor, S., Ruiz-Canela, M., Salas-Salvadó, J.,...,Tur, J.A. (2020). Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study. Nutrients, 12 (4), 1013. https://doi.org/10.3390/nu12041013.
dc.identifier.issn2072-6643es
dc.identifier.urihttps://hdl.handle.net/11441/145744
dc.description.abstractHealthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55–75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses’ Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.es
dc.formatapplication/pdfes
dc.format.extent20 p.es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofNutrients, 12 (4), 1013.
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMetabolic syndrome severityes
dc.subjectPhysical activityes
dc.subjectMediterranean dietes
dc.subjectDepression riskes
dc.subjectSedentary behavioures
dc.titleLeisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Studyes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Medicinaes
dc.relation.projectIDPI16/01120; PI17/00764; PI17/01183; PI17/00855; PI17/01347; PI17/00525; PI17/01827; PI17/00532; PI17/00215; PI17/01441; PI17/00508; PI17/01732; PI17/00926; PI19/00957; PI19/00386; PI19/00309; PI19/01032; PI19/00576; PI19/00017; PI19/01226; PI19/00781; PI19/01560; PI19/01332; CIBEROBN CB06/03; CB12/03; PI14/00618; PI14/00696; PI14/01206; PI14/01919; PI14/00853; PI14/01374; PI14/00972; PI14/00728; PI14/01471; PI16/00473; PI16/00662; PI16/01873; PI16/01094; PI16/00501; PI16/00533; PI16/00381; PI16/00366; PI16/01522es
dc.relation.projectID35/2011es
dc.relation.projectIDPI0458/2013; PS0358/2016; PI0137/2018es
dc.relation.projectIDCA16112es
dc.relation.projectIDEAT2BENICE_H2020_SFS2016es
dc.relation.projectIDPI13/00673; PI13/00492; PI13/00272; PI13/01123; PI13/00462; PI13/00233; PI13/02184; PI13/00728; PI13/01090; PI13/01056; PI14/01722; PI14/00636es
dc.relation.projectID340918es
dc.relation.projectIDPI044003; 201630.1es
dc.relation.projectIDPROMETEO/2017/017es
dc.relation.projectID2013ACUP00194es
dc.relation.publisherversionhttps://www.mdpi.com/2072-6643/12/4/1013es
dc.identifier.doi10.3390/nu12041013es
dc.journaltitleNutrientses
dc.publication.volumen12es
dc.publication.issue4es
dc.publication.initialPage1013es
dc.contributor.funderBalearic Islands Governmentes
dc.contributor.funderBalearic Islands Health Research Institute IDISBAes
dc.contributor.funderConsejeria de Salud de la Junta de Andalucia PI0458/2013; PS0358/2016; PI0137/2018es
dc.contributor.funderEspecial Action Projectes
dc.contributor.funderEU-COST Actiones
dc.contributor.funderEuropean Commissiones
dc.contributor.funderEuropean Regional Development Fundes
dc.contributor.funderEuropean Research Counciles
dc.contributor.funderFundacio La Marato TV3es
dc.contributor.funderGeneralitat Valencianaes
dc.contributor.funderOfficial funding agency for biomedical research of the Spanish government, ISCIII, through the Fondo de Investigacion para la Salud (FIS)es
dc.contributor.funderRecercaixa Grantes
dc.contributor.funderSEMERGEN Grantes
dc.contributor.funderSpanish Ministry of Educationes

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