Insulin Resistance and Its Association with Metabolic Syndrome in Korean Children

Jinkyung Cho1, Haeryun Hong1, Soohyun Park2

  • 1College of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.

Insights

Insulin resistance (IR) is linked to metabolic syndrome (MetS) risk factors in children. Higher IR levels correlate with increased risk of abnormal blood pressure, glucose, triglycerides, cholesterol, and HDL-C in children.

Area of Science:

  • Pediatrics
  • Metabolic Health
  • Endocrinology

Background:

  • Insulin resistance (IR) is a growing concern in pediatric populations.
  • Metabolic syndrome (MetS) in children is associated with increased cardiovascular risk.
  • Understanding the link between IR and MetS risk factors is crucial for early intervention.

Purpose of the Study:

  • To investigate the association between insulin resistance (IR) and metabolic syndrome (MetS) risk factors in healthy children.
  • To determine if higher IR levels correlate with a greater prevalence of MetS components.

Main Methods:

  • A cross-sectional study of 1036 healthy children aged 7-13 years.
  • Insulin resistance was assessed using the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR).
  • Participants were categorized into HOMA-IR quartiles for analysis.

Main Results:

  • Significant linear trends were observed for age, BMI, body fat, waist circumference, blood pressure, triglycerides, total cholesterol, HDL-C, fasting blood glucose (FBG), and insulin across HOMA-IR quartiles.
  • Children in the highest HOMA-IR quartile showed significantly higher odds of abnormalities in blood pressure, FBG, TG, TC, and HDL-C, even after adjustments.
  • Children in the third HOMA-IR quartile also exhibited significant abnormalities in FBG, TG, and HDL-C after covariate adjustments.

Conclusions:

  • Insulin resistance is significantly associated with the clustering of metabolic syndrome risk factors in Korean children.
  • These findings highlight the importance of monitoring IR in children to identify and manage MetS risk.
  • Early identification and management of IR may help prevent the development of MetS and associated long-term health consequences.
Abstract

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