Association of C-reactive protein with body fat, diabetes and coronary artery disease in Asian Indians: The Chennai Urban Rural Epidemiology Study (CURES-6)
Version of Record online: 23 JUN 2005
Volume 22, Issue 7, pages 863–870, July 2005
How to Cite
Mohan, V., Deepa, R., Velmurugan, K. and Premalatha, G. (2005), Association of C-reactive protein with body fat, diabetes and coronary artery disease in Asian Indians: The Chennai Urban Rural Epidemiology Study (CURES-6). Diabetic Medicine, 22: 863–870. doi: 10.1111/j.1464-5491.2005.01541.x
- Issue online: 23 JUN 2005
- Version of Record online: 23 JUN 2005
- Accepted 27 August 2004
- C-reactive protein;
- Type 2 diabetes;
- Asian Indians;
- body fat;
- coronary artery disease;
Objective The aim of the study was to determine the association of high sensitivity C-reactive protein (hs-CRP) with body fat, diabetes and coronary artery disease (CAD) in an urban south Indian population.
Design The study was conducted on 150 subjects selected from the Chennai Urban Rural Epidemiology Study (CURES), an ongoing population-based study on a representative population of Chennai (formerly Madras). Group 1 comprised of non-diabetic subjects without CAD (n = 50). Type 2 diabetic subjects without CAD formed Group 2 (n = 50); Group 3 comprised of Type 2 diabetic subjects with CAD (n = 50). CAD was diagnosed based on electrocardiographic (ECG) changes suggestive of ST segment depression and/or Q wave changes using appropriate Minnesota codes. All study subjects were non-smokers, and had no infectious or inflammatory diseases. The plasma levels of hs-CRP were measured using a highly sensitive nephelometric assay. Body fat was calculated using Siri's formula using skin fold measurements.
Results Diabetic subjects with (2.89 mg/l) and without (2.25 mg/l) CAD had significantly higher hs-CRP levels compared with non-diabetic subjects without CAD (0.99 mg/l, P < 0.001). hs-CRP values increased with increases in tertiles of body fat (anovaP < 0.001) and HbA1c (anovaP < 0.001). Multiple logistic regression analysis revealed hs-CRP to be strongly associated with CAD (OR: 1.649, P = 0.040) and diabetes (OR: 2.264, P = 0.008) even after adjusting for age and gender. Regression analysis also revealed body fat to be strongly associated with diabetes and CAD even after adjusting for age and gender (P < 0.001). hs-CRP influenced this association for diabetes but not for CAD.
Conclusion hs-CRP showed a strong association with CAD and diabetes, even after adjusting for age and gender. The association of body fat with diabetes seems to be mediated through hs-CRP. However, hs-CRP does not appear to mediate the relationship between body fat and CAD.