title: [Clustering of metabolic risk factors and its related risk factors in young schoolchildren].
abstract: OBJECTIVE
  We wanted to determine the distribution of the clustering of the metabolic risk factors and we wanted to evaluate the related factors in young schoolchildren.
  
  
  METHODS
  A cross-sectional study of metabolic syndrome was conducted in an elementary school in Seoul, Korea. We evaluated fasting glucose, triglyceride, HDL cholesterol, blood pressures and the body mass index, and we used parent-reported questionnaires to assess the potential risk factors in 261 children (136 boys, 125 girls). We defined the metabolic risk factors as obesity or at risk for obesity (> or = 85th percentile for age and gender), a systolic or diastolic blood pressure at > or = 90th percentile for age and gender, fasting glucose at > or = 110 mg/dl, triglyceride at > or = 110 mg/dl and HDL cholesterol at < or = 40 mg/dl.
  
  
  RESULTS
  There were 15.7% of the subjects who showed clustering of two or more metabolic risk factors, 2.3% of the subjects who showed clustering for three or more risk factors, and 0.8% of the subjects who showed clustering for four or more risk factors. A multivariate analysis revealed that a father smoking more than 20 cigarettes per day, a mother with a body mass index of = 25 kg/m2, and the child eating precooked or frozen food more than once per day were associated with clustering of two or more components, with the odds ratios of 3.61 (95% CI = 1.24-10.48), 5.50 (95% CI=1.39-21.73) and 8.04 (95% CI = 1.67-38.81), respectively.
  
  
  CONCLUSIONS
  This study shows that clustering of the metabolic risk factors is present in young schoolchildren in Korea, with the clustering being associated with parental smoking and obesity as well as the child's eating behavior. These results suggest that evaluation of metabolic risk factors and intervention for lifestyle factors may be needed in both young Korean children and their parents.
authors.affiliation: Department of Preventive Medicine, Ewha Womans University, Ewha Womans University.
authors.forename: Kyoung Ae
authors.initials: KA
authors.lastname: Kong
authors.forename: Bo Hyun
authors.initials: BH
authors.lastname: Park
authors.forename: Jung Won
authors.initials: JW
authors.lastname: Min
authors.forename: Juhee
authors.initials: J
authors.lastname: Hong
authors.forename: Young Sun
authors.initials: YS
authors.lastname: Hong
authors.forename: Bo Eun
authors.initials: BE
authors.lastname: Lee
authors.forename: Namsoo
authors.initials: N
authors.lastname: Chang
authors.forename: Sun Hwa
authors.initials: SH
authors.lastname: Lee
authors.forename: Eun Hee
authors.initials: EH
authors.lastname: Ha
authors.forename: Hyesook
authors.initials: H
authors.lastname: Park
mesh_terms: D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D002648:Child; D002652:Child Behavior / Q000502:physiology*; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D015438:Health Behavior; D006801:Humans; D007723:Korea; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology*; D009765:Obesity; D010290:Parents; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides