Articles producció científica> Ciències Mèdiques Bàsiques

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

  • Dades identificatives

    Identificador: PC:256
    Autors:
    Salas-Salvadó, J. for the PREDIMED Study Investigators.Sorli, J.V.Covas, M.I.Serra-Majem, L.Estruch, R.Ortega-Calvo, M.Salaverría, I.Wärnberg, J.Martínez-González, M.Á.Bulló, M.Ibarrola-Jurado, N.Babio, N.
    Resum:
    10.1371/journal.pone.0058354
  • Altres:

    Autor segons l'article: Salas-Salvadó, J. for the PREDIMED Study Investigators. Sorli, J.V. Covas, M.I. Serra-Majem, L. Estruch, R. Ortega-Calvo, M. Salaverría, I. Wärnberg, J. Martínez-González, M.Á. Bulló, M. Ibarrola-Jurado, N. Babio, N.
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Departament: Bioquímica i Biotecnologia Ciències Mèdiques Bàsiques
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Autor/s de la URV: Nancy Babio, Nuria ibarrola, Mónica Bulló, Miguel Ángel Martínez-González
    Resum: 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. 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.
    Entitat: Universitat Rovira i Virgili.
    Any de publicació de la revista: 2013
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1932-6203
    Volum de revista: 8