Evaluation of existing and candidate measures of obesity for detection of insulin resistance and cardiometabolic risk among Asian Indians: Development of two clinically useful models |
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| Authors: | Lee Joseph Anoop Misra Mekhala Chandra Naval K. Vikram Dimple Kondal Ranjita Misra T.G. Patel Kashish Goel Ravindra M. Pandey Pawan Kumar |
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| Affiliation: | 1. Department of Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA;2. Department of Diabetes and Metabolic Diseases, Fortis Hospital, Vasant Kunj, New Delhi 110070, India;3. Center for Diabetes, Obesity, and Cholesterol Disorders, Diabetes Foundation (India), New Delhi 110016, India;4. Department of Medicine, All India Institute of Medical Sciences, New Delhi 110029, India;5. Department of Biostatistics, All India Institute of Medical Sciences, New Delhi 110029, India;6. Department of Health and Kinesiology, Texas A&M University, College Station, TX 77843, USA;7. Departmentt of Renal Diseases, Oncology, & Diabetes, Veteran Health Affairs, Washington DC 20420, USA;8. Department of Internal Medicine, Wayne State University, Detroit, MI 48201, USA |
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| Abstract: | BackgroundThe optimal measure of obesity continues to be debated. The objective of this study was to evaluate existing and candidate measures of obesity for detecting the presence of cardiometabolic risk and insulin resistance among Asian Indians.MethodsAnthropometry, detailed body composition analysis, blood pressure, lipids, fasting blood glucose and fasting serum insulin were measured in a cross-sectional study involving 507 subjects from North India.ResultsIn females, all indices of obesity, except waist-to-hip ratio (WHR) and total body fat (TBF) to waist circumference (WC) ratio and in men, all indices of obesity including fat mass index and WHR, were significantly associated with insulin resistance and cardiovascular risk factors (p < 0.05). Using stepwise logistic regression, two models were developed excluding WC and WHR, respectively. In model 1, subscapular skinfold thickness, WHR and age in males, and waist circumference to square of height ratio (WS2R) and age in females; and in model 2, subscapular skinfold thickness, WS2R and visceral adiposity index in males, and TBF to WC ratio, WS2R and age in females showed strong and significant association with the presence of cardiovascular risk factors or insulin resistance.ConclusionsThe clinical models for measurement of obesity developed by us would help in detecting cardiometabolic risk in Asian Indians. |
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