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
Received 10 October 2008; received in revised form 10 March 2009; accepted 15 March 2009. published online 21 July 2009.
Abstract
Background and aims
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.
Methods and 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, ≥7300cells/μL for boys; Q1, <5200; Q2, 5200–6000; Q3, 6100–7000; and Q4, ≥7100cells/μL 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.
Conclusion
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.
aDepartment of Family Medicine, Yonsei University College of Medicine, Seoul, Korea
bDepartment of Pediatrics, Pochon CHA University College of Medicine, Seoul, Korea
cDepartment of Family Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
dDivision of Clinical Data Management and Bioinformatics, Clinical Trials Center, Yonsei University College of Medicine, Seoul, Korea
Corresponding author. Department of Family Medicine, Yonsei University College of Medicine, Yongdong Severance Hospital, 146-92 Dogok-dong, Gangnam-gu, Seoul, Korea. Tel.: +82 2 2019 3481; fax: +82 2 3463 3287.
ABSTRACT