@article{Qureshi_Amer_Kaleem_Mahmood_2019, title={Adult anthropometry in Type 2 diabetic population: A case-control study: Adult anthropometry in Type 2 diabetic population}, volume={35}, url={https://www.pjms.org.pk/index.php/pjms/article/view/759}, DOI={10.12669/pjms.35.5.759}, abstractNote={<p><em><strong>Objectives:</strong></em> This study was aimed to compare the body mass index (BMI) and waist-to-hip ratio (WHR) in their ability to predict type 2 diabetes risk in a large prospective cohort of men and women in Pakistan.</p> <p><em><strong>Methods:</strong></em> This was a case-control study conducted at Diabetic and medical OPD of GTTH. Anthropometric measures including BMI and WHR were analyzed. Student’s t-test, Chi-squared test along with Cramer’s V value, was applied to evaluate association between variables. Receiver operating curve (ROC) was used to assess anthropometric measures.</p> <p><em><strong>Results:</strong> </em>The study included 804 diabetics and 396 non-diabetics between 30–60 years of age. Comparing the BMI parameters it was found that 717 (89·2%) in diabetic group were overweight or obese (p-value &lt; 0·001). On comparing the WHR, 97·9% diabetics had increased WHR (p-value &lt;0·001). Both BMI &amp; WHR were further compared using ROC curve which found out that WHR had an area under ROC of 0·720 &amp; BMI has 0·680, suggesting that WHR is more better predictor of diabetes as compared to BMI.</p> <p><em><strong>Conclusions:</strong></em> Both BMI and WHR were strong discriminators of T2DM but WHR was found superior according to ROC value. Family history is significantly associated in patients with diabetes.</p> <p><strong>doi: https://doi.org/10.12669/pjms.35.5.759</strong></p> <p><em><strong>How to cite this:</strong></em><br>Qureshi SS, Amer W, Kaleem M, Beg BM. Adult anthropometry in Type 2 diabetic population: A case-control study. Pak J Med Sci. 2019;35(5):1284-1289. doi: https://doi.org/10.12669/pjms.35.5.759</p> <p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p&gt;}, number={5}, journal={Pakistan Journal of Medical Sciences}, author={Qureshi, Sarah Shoaib and Amer, Wasim and Kaleem, Maryam and Mahmood, Bilal}, year={2019}, month={Aug.} }