Metabolic syndrome and risk factors in children: a risk score proposal.

Introduction/objective: The lack of international consensus on the definition of Metabolic Syndrome (MS) in the pediatric population makes it difficult to estimate its prevalence. In this study, we intend to identify MS prevalence and a cutoff point based on a continuous score in children aged four to seven years.

Methods: A cross-sectional study of 402 children (4-7 years) monitored by the Lactation Support Program (PROLAC). A continuous MS risk score was assessed using Principal Component Analysis (PCA). In order to calculate the score, the following MS risk factors were considered: Waist circumference (WC), High Density Lipoprotein (HDL), Triglycerides (TG), Blood Pressure (BP) and Blood sugar. Using a Receiver Operating Characteristics (ROC) curve, the cutoff point for predicting MS risk based on continuous score was evaluated.

Results: A progressive increase in MS scores was observed according to increase in the number of risk factors. This increase was also observed when comparing boys and girls (p < 0.001). In the absence of MS, the median score among the children was -0.0486 (-0.2929-0.2151). For children with MS, the median score was 0.5237 (0.2286-0.7104) (p < 0.001). The best cutoff score for predicting MS in children aged four to five years was >0.09 (100% sensitivity and specificity 72.67%). For children aged six to seven years, this value was >0.14 (100% sensitivity and 64.65% specificity).

Conclusion: The calculated continuous risk score can predict MS with good accuracy and high sensitivity and reasonable specificity.