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White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study

BACKGROUND: 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 cardiov...

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Autores principales: Babio, Nancy, Ibarrola-Jurado, Núria, Bulló, Mònica, Martínez-González, Miguel Ángel, Wärnberg, Julia, Salaverría, Itziar, Ortega-Calvo, Manuel, Estruch, Ramón, Serra-Majem, Lluís, Covas, Maria Isabel, Sorli, José Vicente, Salas-Salvadó, Jordi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602299/
https://www.ncbi.nlm.nih.gov/pubmed/23526980
http://dx.doi.org/10.1371/journal.pone.0058354
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author Babio, Nancy
Ibarrola-Jurado, Núria
Bulló, Mònica
Martínez-González, Miguel Ángel
Wärnberg, Julia
Salaverría, Itziar
Ortega-Calvo, Manuel
Estruch, Ramón
Serra-Majem, Lluís
Covas, Maria Isabel
Sorli, José Vicente
Salas-Salvadó, Jordi
author_facet Babio, Nancy
Ibarrola-Jurado, Núria
Bulló, Mònica
Martínez-González, Miguel Ángel
Wärnberg, Julia
Salaverría, Itziar
Ortega-Calvo, Manuel
Estruch, Ramón
Serra-Majem, Lluís
Covas, Maria Isabel
Sorli, José Vicente
Salas-Salvadó, Jordi
author_sort Babio, Nancy
collection PubMed
description BACKGROUND: 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. TRIAL REGISTRATION: Controlled-Trials.comISRCTN35739639.
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spelling pubmed-36022992013-03-22 White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study Babio, Nancy Ibarrola-Jurado, Núria Bulló, Mònica Martínez-González, Miguel Ángel Wärnberg, Julia Salaverría, Itziar Ortega-Calvo, Manuel Estruch, Ramón Serra-Majem, Lluís Covas, Maria Isabel Sorli, José Vicente Salas-Salvadó, Jordi PLoS One Research Article BACKGROUND: 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. TRIAL REGISTRATION: Controlled-Trials.comISRCTN35739639. Public Library of Science 2013-03-19 /pmc/articles/PMC3602299/ /pubmed/23526980 http://dx.doi.org/10.1371/journal.pone.0058354 Text en © 2013 Babio et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Babio, Nancy
Ibarrola-Jurado, Núria
Bulló, Mònica
Martínez-González, Miguel Ángel
Wärnberg, Julia
Salaverría, Itziar
Ortega-Calvo, Manuel
Estruch, Ramón
Serra-Majem, Lluís
Covas, Maria Isabel
Sorli, José Vicente
Salas-Salvadó, Jordi
White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study
title White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study
title_full White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study
title_fullStr White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study
title_full_unstemmed White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study
title_short White Blood Cell Counts as Risk Markers of Developing Metabolic Syndrome and Its Components in the Predimed Study
title_sort white blood cell counts as risk markers of developing metabolic syndrome and its components in the predimed study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602299/
https://www.ncbi.nlm.nih.gov/pubmed/23526980
http://dx.doi.org/10.1371/journal.pone.0058354
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