Evaluation of surrogate markers for insulin resistance for defining metabolic syndrome in urban Indian adolescents

Indian Pediatr. 2014 Apr;51(4):279-84. doi: 10.1007/s13312-014-0401-4.

Abstract

Objective: To compare parameters of insulin resistance, with special reference to McAuley index, in urban Indian adolescents, and to establish their cut-off values for defining metabolic syndrome.

Design: Cross-sectional study.

Setting: Schools located in four different geographical zones of Delhi, India.

Participants: 695 apparently healthy adolescents grouped as normal weight (298), overweight (205) and obese (192).

Outcome measures: Cut-off point for indices of insulin resistance was assessed by fasting insulin, insulin glucose ratio, and other methods (HOMA model, QUICKI, McAuley index) to define metabolic syndrome.

Results: The McAuley index increased progressively from normal weight to obese adolescents in both sexes. McAuley index was significantly lower in adolescents with metabolic syndrome (5.36 ± 1.28 vs. 7.05 ± 1.88; P<0.001). McAuley index had the highest area under curve of receiver operator characteristics [0.82 (0.02)] as compared to other indices of insulin resistance. McAuley index of 6.23 had the highest specificity (88%) with sensitivity of 63.3% for diagnosing metabolic syndrome, whereas insulin glucose ratio had the highest sensitivity (79.7%) but low (55.5%) specificity. McAuley index was negatively correlated with height (r= -0.257, P=<0.001), weight (r= -0.537, P=<0.001), body mass index (r= -0.579, P<0.001), waist circumference (r= -0.542, p<0.001), and waist hip ratio (r= -0.268, P<0.001).

Conclusions: Among various parameters of insulin resistance, McAuley index had the highest specificity, and insulin glucose ratio had the highest sensitivity in diagnosing metabolic syndrome in urban Indian adolescents.

MeSH terms

  • Adolescent
  • Child
  • Cross-Sectional Studies
  • Humans
  • India / epidemiology
  • Insulin Resistance / physiology*
  • Metabolic Syndrome / epidemiology*
  • Metabolic Syndrome / physiopathology*
  • Obesity
  • Overweight
  • Urban Population / statistics & numerical data*
  • Waist Circumference