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The Capital Region of Denmark - a part of Copenhagen University Hospital

A new approach to define and diagnose cardiometabolic disorder in children

Research output: Contribution to journalJournal articleResearchpeer-review


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  • Lars Bo Andersen
  • Jeppe Bo Lauersen
  • Jan Christian Brønd
  • Sigmund Alfred Anderssen
  • Luis B Sardinha
  • Jostein Steene-Johannessen
  • Robert G McMurray
  • Mauro V G Barros
  • Susi Kriemler
  • Niels Christian Møller
  • Anna Bugge
  • Peter Lund Kristensen
  • Mathias Ried-Larsen
  • Anders Grøntved
  • Ulf Ekelund
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The aim of the study was to test the performance of a new definition of metabolic syndrome (MetS), which better describes metabolic dysfunction in children. Methods. 15,794 youths aged 6-18 years participated. Mean z-score for CVD risk factors was calculated. Sensitivity analyses were performed to evaluate which parameters best described the metabolic dysfunction by analysing the score against independent variables not included in the score. Results. More youth had clustering of CVD risk factors (>6.2%) compared to the number selected by existing MetS definitions (International Diabetes Federation (IDF) < 1%). Waist circumference and BMI were interchangeable, but using insulin resistance homeostasis model assessment (HOMA) instead of fasting glucose increased the score. The continuous MetS score was increased when cardiorespiratory fitness (CRF) and leptin were included. A mean z-score of 0.40-0.85 indicated borderline and above 0.85 indicated clustering of risk factors. A noninvasive risk score based on adiposity and CRF showed sensitivity and specificity of 0.85 and an area under the curve of 0.92 against IDF definition of MetS. Conclusions. Diagnosis for MetS in youth can be improved by using continuous variables for risk factors and by including CRF and leptin.

Original languageEnglish
JournalJournal of Diabetes Research
Pages (from-to)539835
Publication statusPublished - 2015

    Research areas

  • Adolescent, Child, Cross-Sectional Studies, Female, Humans, Insulin Resistance/physiology, Male, Metabolic Syndrome/diagnosis, Risk Factors, Waist Circumference/physiology

ID: 57356287