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 card...

Full description

Bibliographic Details
Main Authors: Babio, N. (Nancy), Ibarrola-Jurado, N. (Nuria), Bullo, M. (Monica), Martinez-Gonzalez, M.A. (Miguel Ángel), Wärnberg, J. (Julia), Salaverria-Lete, I. (Itziar), Ortega-Calvo, M. (Manuel), Estruch, R. (Ramón), Serra-Majem, L. (Luis), Covas, M.I. (María Isabel), Sorli, J.V. (Jose V.), Salas-Salvado, J. (Jordi)
Format: info:eu-repo/semantics/article
Language:eng
Published: Public Library of Sciences 2013
Subjects:
Online Access:https://hdl.handle.net/10171/34170
_version_ 1793400078099021824
author Babio, N. (Nancy)
Ibarrola-Jurado, N. (Nuria)
Bullo, M. (Monica)
Martinez-Gonzalez, M.A. (Miguel Ángel)
Wärnberg, J. (Julia)
Salaverria-Lete, I. (Itziar)
Ortega-Calvo, M. (Manuel)
Estruch, R. (Ramón)
Serra-Majem, L. (Luis)
Covas, M.I. (María Isabel)
Sorli, J.V. (Jose V.)
Salas-Salvado, J. (Jordi)
author_facet Babio, N. (Nancy)
Ibarrola-Jurado, N. (Nuria)
Bullo, M. (Monica)
Martinez-Gonzalez, M.A. (Miguel Ángel)
Wärnberg, J. (Julia)
Salaverria-Lete, I. (Itziar)
Ortega-Calvo, M. (Manuel)
Estruch, R. (Ramón)
Serra-Majem, L. (Luis)
Covas, M.I. (María Isabel)
Sorli, J.V. (Jose V.)
Salas-Salvado, J. (Jordi)
author_sort Babio, N. (Nancy)
collection DSpace
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.
format info:eu-repo/semantics/article
id oai:dadun.unav.edu:10171-34170
institution Universidad de Navarra
language eng
publishDate 2013
publisher Public Library of Sciences
record_format dspace
spelling oai:dadun.unav.edu:10171-341702023-03-13T11:03:59Z White blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study Babio, N. (Nancy) Ibarrola-Jurado, N. (Nuria) Bullo, M. (Monica) Martinez-Gonzalez, M.A. (Miguel Ángel) Wärnberg, J. (Julia) Salaverria-Lete, I. (Itziar) Ortega-Calvo, M. (Manuel) Estruch, R. (Ramón) Serra-Majem, L. (Luis) Covas, M.I. (María Isabel) Sorli, J.V. (Jose V.) Salas-Salvado, J. (Jordi) Metabolic disorders White blood cells Cholesterol Obesity Lymphocites 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. 2013-10-16T15:20:33Z 2013-10-16T15:20:33Z 2013 info:eu-repo/semantics/article https://hdl.handle.net/10171/34170 eng info:eu-repo/semantics/openAccess application/pdf Public Library of Sciences
spellingShingle Metabolic disorders
White blood cells
Cholesterol
Obesity
Lymphocites
Babio, N. (Nancy)
Ibarrola-Jurado, N. (Nuria)
Bullo, M. (Monica)
Martinez-Gonzalez, M.A. (Miguel Ángel)
Wärnberg, J. (Julia)
Salaverria-Lete, I. (Itziar)
Ortega-Calvo, M. (Manuel)
Estruch, R. (Ramón)
Serra-Majem, L. (Luis)
Covas, M.I. (María Isabel)
Sorli, J.V. (Jose V.)
Salas-Salvado, J. (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 Metabolic disorders
White blood cells
Cholesterol
Obesity
Lymphocites
url https://hdl.handle.net/10171/34170
work_keys_str_mv AT babionnancy whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT ibarrolajuradonnuria whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT bullommonica whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT martinezgonzalezmamiguelangel whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT warnbergjjulia whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT salaverrialeteiitziar whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT ortegacalvommanuel whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT estruchrramon whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT serramajemlluis whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT covasmimariaisabel whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT sorlijvjosev whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy
AT salassalvadojjordi whitebloodcellcountsasriskmarkersofdevelopingmetabolicsyndromeanditscomponentsinthepredimedstudy