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Article in English | IMSEAR | ID: sea-25420

ABSTRACT

BACKGROUND & OBJECTIVES: Elevated levels of c-reactive protein (CRP) are known to be associated with insulin resistance and metabolic syndrome in adults. A substantial prevalence of hyperinsulinaemia and elevated CRP levels have been shown in Indian young adults. We therefore studied the association of serum high-sensitivity C-reactive protein (hs-CRP) with fasting insulin and insulin resistance in urban adolescent and young adult males in north India. METHODS: In this cross-sectional study 324 healthy males, 14-25 yr of age were selected randomly and their clinical and anthropometric profile [body mass index (BMI), waist and hip circumferences, waist-to-hip circumference ratio (W-HR), and skinfold thickness at four sites], percentage of body fat (%BF) and biochemical (fasting blood glucose, lipoprotein profile, fasting insulin and hs-CRP) parameters were recorded. Insulin resistance was assessed by the homeostasis model of assessment (HOMA-IR). RESULTS: Fasting insulin and hs-CRP levels correlated significantly with BMI, waist circumference, and triceps and subscapular skinfold thickness. Fasting insulin also correlated with %BF, and hs- CRP correlated with W-HR. No correlation was observed between hs-CRP and fasting insulin levels or insulin resistance. In multiple logistic regression analysis different independent risk factors for hyperinsulinaemia and elevated hs-CRP levels were observed; hypercholesterolaemia, overweight and high subscapular skinfold thickness for the former, and high triceps skinfold thickness for the latter. INTERPRETATION & CONCLUSION: Lack of correlation between hs-CRP and surrogate markers of insulin resistance and different risk factors for each, in young Indian males are unique observations of our study. Further studies on a larger sample of both genders need to be done to confirm these findings.


Subject(s)
Adolescent , Adult , Body Mass Index , C-Reactive Protein/analysis , Fasting/blood , Humans , Inflammation/blood , Insulin/blood , Insulin Resistance , Male , Multivariate Analysis
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