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Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study.

dc.contributor.authorCano-Ibañez, Naomi
dc.contributor.authorBueno-Cavanillas, Aurora
dc.contributor.authorMartinez-Gonzalez, Miguel A
dc.contributor.authorCorella, Dolores
dc.contributor.authorSalas-Salvado, Jordi
dc.contributor.authorZomeño, M Dolors
dc.contributor.authorGarcia-de-la-Hera, Manoli
dc.contributor.authorRomaguera, Dora
dc.contributor.authorMartinez, J Alfredo
dc.contributor.authorBaron-Lopez, F Javier
dc.contributor.authorGarcia-Rios, Antonio
dc.contributor.authorEstruch, Ramon
dc.contributor.authorGarcia-Molina, Laura
dc.contributor.authorAlonso Gomez, Angel
dc.contributor.authorTur, Josep A
dc.contributor.authorTinahones, Francisco
dc.contributor.authorSerra-Majem, Lluis
dc.contributor.authorCubelos-Fernandez, Naiara
dc.contributor.authorLapetra, Jose
dc.contributor.authorVazquez, Clotilde
dc.contributor.authorPinto, Xavier
dc.contributor.authorVidal, Josep
dc.contributor.authorDaimiel, Lidia
dc.contributor.authorGaforio, Jose Juan
dc.contributor.authorMatia, Pilar
dc.contributor.authorRos, Emilio
dc.contributor.authorDiez-Espino, Javier
dc.contributor.authorFernandez-Carrion, Rebeca
dc.contributor.authorBasora, Josep
dc.contributor.authorFito, Montse
dc.contributor.authorZazo, Juan Manuel
dc.contributor.authorColom, Antoni
dc.contributor.authorToledo, Estefanía
dc.contributor.authorDiaz-Lopez, Andres
dc.contributor.authorMuñoz, Miguel Angel
dc.contributor.authorRuiz-Canela, Miguel
dc.contributor.authorGea, Alfredo
dc.contributor.funderISCIII through the Fondo de Investigación para la Salud (FIS)
dc.contributor.funderEuropean Regional Development Fund
dc.contributor.funderConsejería de Salud de la Junta de Andalucía
dc.date.accessioned2023-01-25T10:24:05Z
dc.date.available2023-01-25T10:24:05Z
dc.date.issued2018-10-31
dc.description.abstractInadequate diet influences chronic diseases such as cardiovascular disease (CVD), the leading cause of death in Spain. CVD figures vary from one geographical region to another; this could be associated with different food choices. Our aim was to analyse the influence of geographical area on nutrient intakes among the Spanish adult population with Metabolic Syndrome (MetS). We analysed cross-sectional baseline data from the PREDIMED-Plus study: 6646 Spanish adults, aged 55⁻75 years, with overweight/obesity and MetS in four geographical areas. A validated 143-item Food Frequency Questionnaire (FFQ) was used to assess energy and nutrient intakes. The prevalence of inadequate nutrient intake was estimated according to Dietary Reference Intakes (DRIs). Multivariable-adjusted logistic regression was used to assess the relationship between geographical area (North, Central, East and South areas) and inadequate nutrient intake. People in the North area consumed significantly lower amounts of vegetables and fish but more sugar and alcohol (p < 0.001) than other areas. Dietary fibre, vitamin A, E, calcium and magnesium intakes were all lower among men of North area than in the other areas (p < 0.001). Sex (women), non-smoker and physical activity were also associated to adequate nutrient intake. Geographical area influences nutrient intakes. Its effect on dietary quality should be taken into account when planning food policies.
dc.description.versionSi
dc.identifier.citationCano-Ibáñez N, Bueno-Cavanillas A, Martínez-González MA, Corella D, Salas-Salvadó J, Zomeño MD, et al. Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study. Nutrients. 2018 Nov 4;10(11):1661
dc.identifier.doi10.3390/nu10111661
dc.identifier.essn2072-6643
dc.identifier.pmcPMC6266979
dc.identifier.pmid30400355
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266979/pdf
dc.identifier.unpaywallURLhttps://www.mdpi.com/2072-6643/10/11/1661/pdf?version=1541320791
dc.identifier.urihttp://hdl.handle.net/10668/13155
dc.issue.number11
dc.journal.titleNutrients
dc.journal.titleabbreviationNutrients
dc.language.isoen
dc.organizationInstituto Maimónides de Investigación Biomédica de Córdoba-IMIBIC
dc.organizationHospital Universitario Reina Sofía
dc.organizationHospital Universitario Virgen de la Victoria
dc.organizationInstituto de Investigación Biomédica de Málaga-IBIMA
dc.page.number19
dc.provenanceRealizada la curación de contenido 05/09/2024
dc.publisherMDPI
dc.pubmedtypeJournal Article
dc.relation.projectIDPI13/00673
dc.relation.projectIDPI13/00492
dc.relation.projectIDPI13/00272
dc.relation.projectIDPI0458/2013
dc.relation.projectIDPS0358/2016
dc.relation.publisherversionhttps://www.mdpi.com/2072-6643/10/11/1661
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPREDIMED-Plus study
dc.subjectDietary intake
dc.subjectGeographical area
dc.subjectMetabolic syndrome
dc.subjectNutrient adequacy
dc.subjectPlace of residence
dc.subject.decsCooperación del paciente
dc.subject.decsDieta mediterránea
dc.subject.decsEjercicio físico
dc.subject.decsEncuestas y cuestionarios
dc.subject.decsEstado nutricional
dc.subject.decsEvaluación nutricional
dc.subject.decsGeografía
dc.subject.meshAged
dc.subject.meshCross-Sectional Studies
dc.subject.meshDiet, Mediterranean
dc.subject.meshExercise
dc.subject.meshFemale
dc.subject.meshGeography
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMetabolic Syndrome
dc.subject.meshMicronutrients
dc.subject.meshMiddle Aged
dc.subject.meshNutrition Assessment
dc.subject.meshNutritional Status
dc.subject.meshObesity
dc.subject.meshOverweight
dc.subject.meshPatient Compliance
dc.subject.meshPrevalence
dc.subject.meshRandomized Controlled Trials as Topic
dc.subject.meshRecommended Dietary Allowances
dc.subject.meshSpain
dc.subject.meshSurveys and Questionnaires
dc.titleDietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number10
dspace.entity.typePublication

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