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 t...

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Bibliographic Details
Published in:European journal of clinical nutrition 2023-02, Vol.77 (2), p.278-282
Main Authors: Lourenço, Larissa Pereira, Viola, Poliana Cristina de Almeida Fonseca, Franceschini, Sylvia do Carmo Castro, Rosa, Carla de Oliveira Barbosa, Ribeiro, Sarah Aparecida Vieira
Format: Article
Language:English
Subjects:
692/699/1702/393
692/699/317
Blood pressure
Body Mass Index
Child
Children
Clinical Nutrition
Cross-Sectional Studies
Epidemiology
Female
High density lipoprotein
Humans
Internal Medicine
Lactation
Male
Mathematical analysis
Medicine
Medicine & Public Health
Metabolic Diseases
Metabolic disorders
Metabolic syndrome
Metabolic Syndrome - epidemiology
Metabolic Syndrome - etiology
Pediatrics
Principal components analysis
Public Health
Risk Factors
ROC Curve
Sensitivity
Sensitivity and Specificity
Triglycerides
Waist Circumference
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Summary: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  0.14 (100% sensitivity and 64.65% specificity). Conclusion The calculated continuous risk score can predict MS with good accuracy and high sensitivity and reasonable specificity.
ISSN:0954-3007
1476-5640
DOI:10.1038/s41430-022-01217-z