A new approach to define and diagnose cardiometabolic disorder in XXXX .

@entity1 @entity410 @entity6 @entity209 @entity413
The aim of the study was to test the performance of a new definition of @entity209 ( @entity209 ), which better describes metabolic dysfunction in @entity1 . 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 @entity209 (International @entity6 Federation (IDF) < 1%). Waist circumference and BMI were interchangeable, but using insulin resistance homeostasis model assessment (HOMA) instead of fasting @entity413 increased the score. The continuous @entity209 score was increased when @entity410 ( @entity410 ) 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 @entity410 showed sensitivity and specificity of 0.85 and an area under the curve of 0.92 against IDF definition of @entity209 . Conclusions. Diagnosis for @entity209 in youth can be improved by using continuous variables for risk factors and by including @entity410 and leptin.
