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Use of Continuous Metabolic Syndrome Score in Overweight and Obese Children

Sangeeta P Sawant1, Alpa S Amin2

  • 1Department of Pediatrics, Bhabha Atomic Research Centre Hospital, Anushakti Nagar, Mumbai, Maharashtra, 400094, India. drsawantsangeeta@gmail.com.

Indian Journal of Pediatrics
|July 14, 2019
PubMed

Insights

The continuous metabolic syndrome score (cMetS) effectively predicts metabolic syndrome (MS) in obese children, showing high accuracy, particularly in girls. This score offers valuable insights for identifying children at risk of developing MS.

Area of Science:

  • Pediatrics
  • Metabolic Health
  • Obesity Research

Background:

  • Metabolic syndrome (MS) is a growing concern in overweight and obese children.
  • Early identification and prediction of MS are crucial for timely intervention.
  • Existing methods for MS assessment may not fully capture the continuous risk spectrum.

Purpose of the Study:

  • To evaluate the effectiveness of a continuous metabolic syndrome score (cMetS) in predicting MS in overweight and obese children.
  • To establish optimal cut-off values for the cMetS for identifying MS in this pediatric population.

Main Methods:

  • A study involving 104 overweight and obese children (aged 7-14 years) was conducted.
  • The cMetS was calculated using standardized residuals of waist circumference, mean arterial blood pressure, HDL-C, triglycerides, and HOMA-IR.
  • Receiver operating characteristic (ROC) curve analysis was employed to determine optimal cMetS cut-off values for MS prediction.

Main Results:

  • The cMetS demonstrated a significant increase with a higher number of MS risk factors.
  • The score was significantly higher in children with MS compared to those without (p < 0.001).
  • cMetS showed high predictive accuracy in girls (AUC 0.95), moderate in boys (AUC 0.79), and overall (AUC 0.87).

Conclusions:

  • The continuous metabolic syndrome score (cMetS) is a valuable tool for predicting MS in overweight and obese children.
  • The score exhibits moderate to high accuracy and high sensitivity and specificity, aiding in early risk identification.
Abstract

Keywords:
ChildrenContinuous metabolic syndrome scoreMetabolic syndromeObesityOverweight

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