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ORIGINAL ARTICLE |
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Year : 2011 | Volume
: 57
| Issue : 3 | Page : 184-188 |
Relationship of body fat with insulin resistance and cardiometabolic risk factors among normal glucose-tolerant subjects
K Gokulakrishnan, M Deepa, F Monickaraj, V Mohan
Departments of Research Biochemistry, Epidemiology, Cell and Molecular Biology, Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre for Education, Chennai, Tamil Nadu, India
Correspondence Address:
V Mohan Departments of Research Biochemistry, Epidemiology, Cell and Molecular Biology, Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, IDF Centre for Education, Chennai, Tamil Nadu India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0022-3859.85200
Background : The amount of body fat, rather than the amount of excess weight, determines the health risks of obesity, type 2 diabetes mellitus, and cardiovascular disease. Aims : To look at the association of body fat percentage with cardiometabolic risk factors in subjects with normal glucose tolerance (NGT). Settings and Design : Cross-section study from the Chennai Urban Rural Epidemiology Study. Materials and Methods : Body fat was measured by Beurer body fat analyzer. Metabolic syndrome (MS) was diagnosed based on modified ATPIII guidelines. Statistical Analysis : Student's t test or one-way ANOVA (with Tukey's HSD) was used to compare groups for continuous variables. Results : Body mass index, waist circumference, systolic and diastolic blood pressure, HOMA IR, serum cholesterol, and LDL cholesterol increased significantly with increasing tertiles of body fat (P<0.001). There was a linear increase in the percentage of body fat with increase in number of components of MS (no metabolic abnormality: 25±11, one metabolic abnormality: 28±10, two metabolic abnormalities: 33±8, and three and more metabolic abnormalities: 35±7) (P<0.001). Regression models showed significant association of body fat with MS after adjusting for age, gender, insulin resistance, and glycated hemoglobin (Odds ratio: 1.04, 95% confidence interval: 1.04 - 1.08, P<0.001). In linear regression analysis, body fat showed a significant association with insulin resistance after adjusting for age, gender, and glycated hemoglobin (β=0.030, P<0.001). Conclusions : A significant association exists between body fat, MS, and cardiometabolic risk factors even among subjects with NGT.
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