Cutoffof percent body fat to predict obesity and metabolic risk in children and adolescents: 2007 children and adolescent physical growthstandard

  • Young Sok Kang
  • , Jee Hyun Kang
  • , Moon Chul Kim
  • , Byung Yeon Yu
  • , Eun Ju Sung
  • , Seon Yeong Lee
  • , Yeon Jung Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Backgroud: Body mass index (BMI) for gender and age and percentage-weight-for-height (PWH) for gender and height have been frequently used to diagnose childhood obesity. However, few studies have examined the optimal cutoffof percent body fat (%BF) to predict metabolic abnormalities in obese children. Methods: One thousand fifteen obese children aged 10 to 15 years were enrolled in this study. The %BF cutoffvalues were calculated by ROC analysis for metabolic abnormalities. We also calculated %BF cutoffvalues corresponding to a BMI of > 85Thor 95Thpercentile for gender and age and a PWH of > 120% for gender and height based on the 2007 Korean children and adolescents growThstandard chart. To define metabolic abnormalities in children, we used the criteria of metabolic syndrome recommended by International Diabetes Federation consensus for children and adolescents. Results: The %BF cutoffcorresponding to the group having more than one metabolic abnormality in this study population were 38.4% (sensitivity 40.1%, specificity 84.4%) in total, 38.4% (sensitivity 35.4%, specificity 84.8%) in boys and 39.5% (sensitivity 38.9%, specificity 90.9%) in girls. The %BF cutoffvalues corresponding to a BMI ≥ 95 percentile were 38.1% (sensitivity 50.5%, specificity 72.7%), a BMI ≥ 85 percentile were 34.5% (sensitivity 69.3%, specificity 74.2%), and a PWH ≥ 120% were 36.4% (sensitivity 72.3%, specificity 64.4%) in total. Conclusion: The optimal cutoffvalue of percent body fat to predict metabolic abnormalities in obese children may be 38.4% (boys 38.4, girls 39.5%) and we suggest 34.5% as a cutoffvalue of %BF for screening childhood obesity.

Original languageEnglish
Pages (from-to)887-894
Number of pages8
JournalKorean Journal of Family Medicine
Volume30
Issue number11
DOIs
StatePublished - Nov 2009
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Childhood Obesity
  • Cutoff
  • Metabolic Abnormalities
  • Percent Body Fat

Fingerprint

Dive into the research topics of 'Cutoffof percent body fat to predict obesity and metabolic risk in children and adolescents: 2007 children and adolescent physical growthstandard'. Together they form a unique fingerprint.

Cite this