Clustering of Metabolic Risk Factors and Its Related Risk Factors in Young Schoolchildren

초등학교 저학년 어린이에서의 대사위험요인 군집의 분포와 관련 위험요인

  • Kong, Kyoung-Ae (Department of Preventive Medicine, Ewha Womans University) ;
  • Park, Bo-Hyun (Department of Preventive Medicine, Ewha Womans University) ;
  • Min, Jung-Won (Department of Preventive Medicine, Ewha Womans University) ;
  • Hong, Ju-Hee (Department of Preventive Medicine, Ewha Womans University) ;
  • Hong, Young-Sun (Department of Internal Medicine, Ewha Womans University) ;
  • Lee, Bo-Eun (Division of Chronic Disease Surveillance, Korea Center for Disease Control and Prevention) ;
  • Chang, Nam-Soo (Department of Food and Nutritional Science, Ewha Womans University) ;
  • Lee, Sun-Hwa (Neodin Medical Institute) ;
  • Ha, Eun-Hee (Department of Preventive Medicine, Ewha Womans University) ;
  • Park, Hye-Sook (Department of Preventive Medicine, Ewha Womans University)
  • 공경애 (이화여자대학교 의과대학 예방의학교실) ;
  • 박보현 (이화여자대학교 의과대학 예방의학교실) ;
  • 민정원 (이화여자대학교 의과대학 예방의학교실) ;
  • 홍주희 (이화여자대학교 의과대학 예방의학교실) ;
  • 홍영선 (이화여자대학교 의과대학 내과학교실) ;
  • 이보은 (질병관리본부 만성병조사팀) ;
  • 장남수 (이화여자대학교 생활환경대학 식품영양학과) ;
  • 이선화 (네오딘의학연구소) ;
  • 하은희 (이화여자대학교 의과대학 예방의학교실) ;
  • 박혜숙 (이화여자대학교 의과대학 예방의학교실)
  • Published : 2006.05.01

Abstract

Objectives: 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 ($\geqq$ 85th percentile for age and gender), a systolic or diastolic blood pressure at $\geqq90th$ percentile for age and gender, fasting glucose at $\geqq110mg/dl$, triglyceride at $\geqq110mg/dl$ and HDL cholesterol at $\leqq40mg/dl$. 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 = $25kg/m^2$, 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.

Keywords

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