title: Metabolic syndrome and its association with white blood cell count in children and adolescents in Korea: the 2005 Korean National Health and Nutrition Examination Survey.
abstract: OBJECTIVE
  To estimate the prevalence of metabolic syndrome (MS) and determine its association with white blood cell (WBC) count as a marker of low-grade systemic inflammation in children and adolescents in Korea.
  
  
  RESULTS
  We investigated the prevalence of MS and its association with WBC count in 928 children and adolescents. MS was defined as having 3 or more conditions based on the modified criteria of the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III). The odds ratios (ORs) for MS were also calculated using multivariate logistic regression analysis across WBC count quartiles (Q1, <5200; Q2, 5200-6100; Q3, 6200-7200; and Q4, >or=7300 cells/microL for boys; Q1, <5200; Q2, 5200-6000; Q3, 6100-7000; and Q4, >or=7100 cells/microL for girls). The prevalence of MS in children and adolescents in Korea was 6.7% (8.5% in boys, 4.5% in girls, P<0.001). MS was more prevalent in overweight and obese children and adolescents in both boys and girls. The mean WBC counts continuously increased with each additional component of MS in both boys and girls. The ORs (95% CIs) for MS in each WBC quartile were 1.00, 1.56 (0.43-5.67), 4.47 (1.42-14.07), and 5.25 (1.71-16.07) in boys and 1.00, 1.05 (0.15-7.61), 2.89 (0.55-15.17), and 7.47 (1.61-36.67) in girls after adjusting for age, household income, and residential area.
  
  
  CONCLUSIONS
  In summary, this study shows that a substantial number of children and adolescents in Korea have MS, and elevated WBC count may be a surrogate marker for MS.
authors.affiliation: Department of Family Medicine, Yonsei University College of Medicine, Seoul, Korea.
authors.forename: Y-J
authors.initials: YJ
authors.lastname: Lee
authors.forename: Y-H
authors.initials: YH
authors.lastname: Shin
authors.forename: J-K
authors.initials: JK
authors.lastname: Kim
authors.forename: J-Y
authors.initials: JY
authors.lastname: Shim
authors.forename: D-R
authors.initials: DR
authors.lastname: Kang
authors.forename: H-R
authors.initials: HR
authors.lastname: Lee
mesh_terms: D000293:Adolescent; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D002648:Child; D002784:Cholesterol / Q000097:blood; D003430:Cross-Sectional Studies; D002149:Energy Intake; D005215:Fasting; D005260:Female; D006801:Humans; D007958:Leukocyte Count; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000150:complications / Q000453:epidemiology; D009749:Nutrition Surveys; D009765:Obesity / Q000150:complications / Q000453:epidemiology; D016017:Odds Ratio; D056910:Republic of Korea / Q000453:epidemiology; D012737:Sex Factors; D014280:Triglycerides / Q000097:blood; D055105:Waist Circumference
chemical_list: D001786:Blood Glucose; D014280:Triglycerides; D002784:Cholesterol