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White blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study.

dc.contributor.authorBabio, Nancy
dc.contributor.authorIbarrola-Jurado, Núria
dc.contributor.authorBulló, Mònica
dc.contributor.authorMartínez-González, Miguel Ángel
dc.contributor.authorWärnberg, Julia
dc.contributor.authorSalaverría, Itziar
dc.contributor.authorOrtega-Calvo, Manuel
dc.contributor.authorEstruch, Ramón
dc.contributor.authorSerra-Majem, Lluís
dc.contributor.authorCovas, Maria Isabel
dc.contributor.authorSorli, José Vicente
dc.contributor.authorSalas-Salvadó, Jordi
dc.contributor.authoraffiliation[Babio,N; Ibarrola-Jurado,N; Bulló,M; Salas-Salvadó,J] Human Nutrition Unit, Sant Joan Hospital, IISPV, Universitat Rovira i Virgili, Reus, Spain. [Babio,N; Ibarrola-Jurado,N; Bulló,M; Ortega-Calvo,M; Estruch,R; Salas-Salvadó,J] CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Reus, Spain. [Martínez-González,MA] Department of Preventive Medicine and Public Health, Medical School-Clínica, University of Navarra, Pamplona, Spain. [Wärnberg,J] Department of Preventive Medicine, University of Málaga, Málaga, Spain. [Salaverría,I] Department of Cardiology, University Hospital Txagorritxu, Vitoria, Spain. Department of Family Medicine, Primary Care Division of Sevilla, Esperanza Macarena Health Center, Sevilla, Spain. [Estruch,R] Department of Internal Medicine, Hospital Clinic, University of Barcelona, Barcelona, Spain. [Serra-Majem,LL] Department of Clinical Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain. [Covas,MI] Cardiovascular Epidemiology Unit, Municipal Institute for Medical Research (IMIM), Barcelona, Spain. [Sorli,JV] Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain. CIBER Fisiopatología de la Obesidad y Nutricion, Valencia, Spain.es
dc.contributor.funderThis study was funded, in part, by the Spanish Ministry of Health (ISCIII), PI1001407, Thematic Network G03/140, RD06/0045, FEDER (Fondo Europeo de Desarrollo Regional), and the Centre Català de la Nutrició de l'Institut d'Estudis Catalans. None of the funding sources played a role in the design, collection, analysis or interpretation of the data or in the decision to submit the manuscript for publication. CIBERobn is an initiative of ISCIII, Spain.
dc.contributor.groupPREDIMER Study Investigatorses
dc.date.accessioned2016-06-29T10:03:13Z
dc.date.available2016-06-29T10:03:13Z
dc.date.issued2013-03-19
dc.descriptionJournal Article; Multicenter Study; Randomized Controlled Trial; Research Support, Non-U.S. Gov't; TRIAL REGISTRATION Controlled-Trials.comISRCTN35739639.es
dc.description.abstractBACKGROUND The Metabolic Syndrome (MetS) is a cluster of metabolic abnormalities that includes hyperglucemia, hypertension, dyslipidemia and central obesity, conferring an increased risk of cardiovascular disease. The white blood cell (WBC) count has been proposed as a marker for predicting cardiovascular risk. However, few prospective studies have evaluated the relationship between WBC subtypes and risk of MetS. METHODS Participants were recruited from seven PREDIMED study centers. Both a baseline cross-sectional (n = 4,377) and a prospective assessment (n = 1,637) were performed. Participants with MetS at baseline were excluded from the longitudinal analysis. The median follow-up was 3.9 years. Anthropometric measurements, blood pressure, fasting glucose, lipid profile and WBC counts were assessed at baseline and yearly during the follow-up. Participants were categorized by baseline WBC and its subtype count quartiles. Adjusted logistic regression models were fitted to assess the risk of MetS and its components. RESULTS Of the 4,377 participants, 62.6% had MetS at baseline. Compared to the participants in the lowest baseline sex-adjusted quartile of WBC counts, those in the upper quartile showed an increased risk of having MetS (OR, 2.47; 95%CI, 2.03-2.99; P-trend<0.001). This association was also observed for all WBC subtypes, except for basophils. Compared to participants in the lowest quartile, those in the top quartile of leukocyte, neutrophil and lymphocyte count had an increased risk of MetS incidence. Leukocyte and neutrophil count were found to be strongly associated with the MetS components hypertriglyceridemia and low HDL-cholesterol. Likewise, lymphocyte counts were found to be associated with the incidence of the MetS components low HDL-cholesterol and high fasting glucose. An increase in the total WBC during the follow-up was also associated with an increased risk of MetS. CONCLUSIONS Total WBC counts, and some subtypes, were positively associated with MetS as well as hypertriglyceridemia, low HDL-cholesterol and high fasting glucose, all components of MetS.en
dc.description.versionYeses
dc.identifier.citationBabio N, Ibarrola-Jurado N, Bulló M, Martínez-González MÁ, Wärnberg J, Salaverría I, et al. White blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study. PLoS ONE. 2013; 8(3):e58354es
dc.identifier.doi10.1371/journal.pone.0058354
dc.identifier.essn1932-6203
dc.identifier.pmcPMC3602299
dc.identifier.pmid23526980
dc.identifier.urihttp://hdl.handle.net/10668/2239
dc.journal.titlePloS One
dc.language.isoen
dc.publisherPublic Library of Sciencees
dc.relation.publisherversionhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0058354es
dc.rights.accessRightsopen access
dc.subjectEnfermedades cardiovasculareses
dc.subjectEstudios transversaleses
dc.subjectDieta mediterráneaes
dc.subjectRecuento de leucocitoses
dc.subjectRecuento de linfocitoses
dc.subjectSíndrome X metabólicoes
dc.subject.meshMedical Subject Headings::Named Groups::Persons::Age Groups::Adult::Aged::Aged, 80 and overes
dc.subject.meshMedical Subject Headings::Diseases::Cardiovascular Diseaseses
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studieses
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Nutrition Therapy::Diet Therapy::Diet, Mediterraneanes
dc.subject.meshMedical Subject Headings::Check Tags::Femalees
dc.subject.meshMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humanses
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Cytological Techniques::Cell Count::Blood Cell Count::Leukocyte Countes
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Cytological Techniques::Cell Count::Blood Cell Count::Leukocyte Count::Lymphocyte Countes
dc.subject.meshMedical Subject Headings::Check Tags::Malees
dc.subject.meshMedical Subject Headings::Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Metabolic Syndrome Xes
dc.subject.meshMedical Subject Headings::Named Groups::Persons::Age Groups::Adult::Middle Agedes
dc.subject.meshMedical Subject Headings::Anatomy::Cells::Blood Cells::Leukocytes::Granulocytes::Neutrophilses
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studieses
dc.subject.meshMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factorses
dc.subject.meshMedical Subject Headings::Named Groups::Persons::Age Groups::Adult::Agedes
dc.titleWhite blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study.en
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication

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