Theaimof the studywas to test the performance of a newdefinition of metabolic syndrome (MetS),which better describes metabolic\ndysfunction in children. Methods. 15,794 youths aged 6ââ?¬â??18 years participated. Mean z-score for CVD risk factors was calculated.\nSensitivity analyses were performed to evaluate which parameters best described the metabolic dysfunction by analysing the score\nagainst independent variables not included in the score. Results.More youth had clustering of CVD risk factors (>6.2%) compared\nto the number selected by existingMetS definitions (International Diabetes Federation (IDF) < 1%).Waist circumference and BMI\nwere interchangeable, but using insulin resistance homeostasis model assessment (HOMA) instead of fasting glucose increased the\nscore. The continuous MetS score was increased when cardiorespiratory fitness (CRF) and leptin were included. A mean z-score\nof 0.40ââ?¬â??0.85 indicated borderline and above 0.85 indicated clustering of risk factors. A noninvasive risk score based on adiposity\nand CRF showed sensitivity and specificity of 0.85 and an area under the curve of 0.92 against IDF definition ofMetS. Conclusions.\nDiagnosis for MetS in youth can be improved by using continuous variables for risk factors and by including CRF and leptin.
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