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Published online April 6, 2007
Diabetes Care 30:1828-1833, 2007
DOI: 10.2337/dc06-2097
© 2007 by the American Diabetes Association
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Cardiovascular and Metabolic Risk
Original Article

Insulin Resistance and Clustering of Cardiometabolic Risk Factors in Urban Teenagers in Southern India

Ambady Ramachandran, DSC1, Chamukuttan Snehalatha, DSC1, Annasami Yamuna, PHD1, Narayanasamy Murugesan, PHD1 and K.M. Venkat Narayan, MD2

1 Diabetes Research Centre, M.V. Hospital for Diabetes, World Health Organization Collaborating Centre for Research, Education, and Training in Diabetes, Royapuram, Chennai, India
2 Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia

Address correspondence and reprint requests to Dr. A. Ramachandran, MD, PhD, India Diabetes Research Foundation, 28 Marshalls Rd., Egmore, Chennai 600008, India. E-mail: ramachandran{at}vsnl.com

OBJECTIVE— We sought to study the occurrence of cardiometabolic risk variables, their clustering, and their association with insulin resistance among healthy adolescents in urban south India.

RESEARCH DESIGN AND METHODS— School children aged 12–19 years (n = 2,640; 1,323 boys and 1,317 girls) from diverse socioeconomic backgrounds were studied. Demographic, social, and medical details were obtained; anthropometry and blood pressure were measured. Fasting plasma glucose, insulin, and lipid profiles were measured. Clusters of risk variables were identified by factor analysis. Association of insulin resistance (homeostasis model assessment) with individual risk variables and their clusters were assessed.

RESULTS— One or more cardiometabolic abnormalities (i.e., low HDL cholesterol, elevated triglycerides, fasting plasma glucose, or blood pressure) was present in 67.7% of children (in 64.8% of normal weight and 85% of overweight children). Insulin resistance was associated with the above abnormalities except HDL cholesterol. It also showed significant positive association with BMI, waist circumference, body fat percentage, and total cholesterol (P < 0.0001). Factor analysis identified three distinct clusters, with minor differences in the sexes: 1) waist circumference and blood pressure; 2) dyslipidemia, waist circumference, and insulin; and 3) waist circumference, glucose, and plasma insulin, with minor differences in the sexes. Insulin was a component of the lipid and glucometabolic cluster. In girls, it was a component of all three clusters.

CONCLUSIONS— Cardiometabolic abnormalities are present in nearly 68% of young, healthy, Asian-Indian adolescents and even among those with normal weight. Insulin resistance is associated with individual cardiometabolic factors, and plasma insulin showed association with clustering of some variables.

Abbreviations: HOMA-IR, homeostasis model assessment of insulin resistance


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