Metabolism - Clinical and Experimental
Volume 55, Issue 12 , Pages 1569-1573, December 2006

Simple anthropometric measures identify fasting hyperinsulinemia and clustering of cardiovascular risk factors in Asian Indian adolescents

  • Anoop Misra

      Affiliations

    • Department of Diabetes and Metabolic Disorders, Fortis Hospital, New Delhi-110016, India
    • Corresponding Author InformationCorresponding author. Tel.: +91 11 41759672; fax: +91 11 41759672.
  • ,
  • Malini Madhavan

      Affiliations

    • Department of Medicine, All India Institute of Medical Sciences, New Delhi-110029, India
  • ,
  • Naval K. Vikram

      Affiliations

    • Department of Medicine, All India Institute of Medical Sciences, New Delhi-110029, India
  • ,
  • Ravindra M. Pandey

      Affiliations

    • Department of Biostatistics, All India Institute of Medical Sciences, New Delhi-110029, India
  • ,
  • Vibha Dhingra

      Affiliations

    • Department of Medicine, All India Institute of Medical Sciences, New Delhi-110029, India
  • ,
  • Kalpana Luthra

      Affiliations

    • Department of Biochemistry, All India Institute of Medical Sciences, New Delhi-110029, India

Received 3 January 2006; accepted 19 June 2006.

Abstract 

Correlations of easily measurable parameters of obesity (body mass index [BMI], waist circumference [WC], and subscapular skinfold thickness) with fasting hyperinsulinemia and cardiovascular risk factors (CRFs) have not been investigated in adolescents. We evaluated the screening performance of 3 anthropometric measurements, BMI, WC, and subscapular skinfold thickness, in identifying fasting hyperinsulinemia and clustering of CRFs in 680 male and 521 female adolescents and young adults aged 14 to 18 years in a cross-sectional population survey. CRFs considered were hypercholesterolemia, hypertriglyceridemia, low levels of high-density lipoprotein cholesterol, impaired fasting blood glucose, hypertension, and fasting hyperinsulinemia. The ability of the anthropometric measurements to identify the clustering of CRFs without (cluster 1) and with fasting hyperinsulinemia (cluster 2), and fasting hyperinsulinemia alone was evaluated. BMI, WC, and subscapular skinfold thickness identified the clustering of CRFs and fasting hyperinsulinemia better in males than in females. Among individual risk factors, WC was better in identifying the presence of 3 or more risk factors in cluster 1 for both males and females, and in cluster 2 in females. Subscapular skinfold thickness was better than BMI and WC in identifying hyperinsulinemia in males, and the presence of 3 or more risk factors in cluster 2 in females. All 3 measurements were more accurate in identifying fasting hyperinsulinemia than presence of 3 or more CRFs in either cluster 1 or cluster 2 with higher odds ratio for males. This study shows gender differences in identification of insulin resistance and clustering of CRFs by using simple anthropometric parameters in Asian Indian adolescents. These simple measurements are useful for preventing and predicting cardiovascular risk and for generating a correct definition of the metabolic syndrome.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S0026-0495(06)00249-6

doi:10.1016/j.metabol.2006.06.029

Metabolism - Clinical and Experimental
Volume 55, Issue 12 , Pages 1569-1573, December 2006