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Year : 2016  |  Volume : 57  |  Issue : 1  |  Page : 5-9

Effect of current glycemic control on qualitative body composition in sedentary ambulatory Type 2 diabetics

1 Department of Physiology, Government Medical College, Bhavnagar, Gujarat, India
2 Department of Physiology, GMERS Medical College, Junagadh, Gujarat, India
3 Department of Physiology, Government Medical College, Baroda, Gujarat, India

Correspondence Address:
Jayesh Dalpatbhai Solanki
F1, Shivganga Appartments, Plot No. 164, Bhayani Ni Waadi, Opposite Bawaliya Hanuman Temple, Gadhechi Wadlaa Road, Bhavnagar - 364 001, Gujarat
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0300-1652.180562

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Background: Obesity and Type 2 diabetes mellitus are on rise with cause–effect relationship. Diabetics monitor blood sugar, neglecting qualitative body composition, leaving residual threat of ectopic fat unattended. We tried to correlate glycemic triad with parameters of body composition derived objectively by bioelectrical impedance analysis (BIA). Materials and Methods: A sample of 78 under treatment sedentary Type 2 diabetics of either sex with known glycemic and lipidemic control from our city. Following baseline assessment measurement was done by instrument Omron Karada Scan (Model HBF-510, China) using the principle of tetra poplar BIA to derive parameters of body composition. We tried to correlate glycemic triad with these parameters, both directly as well as after defining them as per established cutoff norms. Results: We found poor glycemic control in the study group (20% for Hb1AC), high body mass index, subcutaneous fat, visceral fat (VF), total body fat (TBF), and lesser mass of skeletal muscle in Type 2 diabetics. However, there were small, insignificant, and inconsistent difference of these parameters while directly correlating with the fasting blood sugar, postprandial blood sugar, and glycosylated hemoglobin. On qualitative assessment, the impact of glycemic control as per standard norms, the risk of high VF, high TBF, low skeletal muscle mass was though high (between 1 and 2) in Type 2 diabetics with poor glycemic control as compared to good glycemics, but each strength lacks statistical significance. Conclusion: BIA reveals that Type 2 diabetics have more ectopic fat on expense of skeletal muscle that do not correlate with current glycemic status, both quantitatively and qualitatively. Measurement of body composition can be included and subjects can be motivated for lifestyle modification strategies while managing metabolic derangements of Type 2 diabetes.

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