Anthropometric Indices and their relationship with diabetes in urban population of Rohtak, Haryana

Pages: 396-399
Tarun and Ramesh Verma (Department of General Medicine, B.P.S. G.M.C. (W), Khanpur Kalan)
Varun Arora (Department of Community Medicine PGIMS Rohtak, Haryana)
Manish Sharma and Shalini Singh (Private Practitioner)
Amit Arya (Medical Officer HCMS)

In several ethnic populations including the relatively non-obese Indian population, the android pattern of body fat, typified by more upper body adiposity measured as waisthip ratio (WHR) was found to be a greater risk factor for type 2 diabetes than general obesity which is calculated by BMI. Various studies have shown that central obesity is common in Indians despite low rates of obesity. This is probably one of the reasons for a higher prevalence of diabetes in urban area To study the Anthropometric Indices & their relationship with diabetes in urban population of Rohtak, Haryana. Population based descriptive type of epidemiological study, design adopted was cross-sectional. Urban field practice area with population of 57000, attached to Dept. of Community Medicine PGIMS, Rohtak. 1003 subjects were selected using simple random sampling through random number table. Various anthropometric indices estimated were Weight, Height, Body Mass Index (BMI), Waist Hip Ratio, Waist Height Ratio. Fasting Blood Glucose estimation was done for detection of Diabetes using ADA criteria. ANOVA, chi square test, percentages & proportions. Out of 1003 study subjects, 81 were detected as diabetics & 103 were diagnosed as pre-diabetics. Mean weight of diabetics and pre diabetics was 65.77±12.94 kg and66±13.64kg, respectively which was significantly higher than that of non-diabetics 59.59±13.64kg (p < 0.001) implying a strong association of obesity with diabetes. Body mass index (BMI) was high in diabetics (26.11±4.31) as well as pre diabetics (25.68±4.98), classifying them as overweight as compared to normal BMI (22.99±4.20) in non-diabetics. (p< 0.001). Waist hip ratio was highest in diabetics (0.95±0.057) followed by in pre diabetics (0.92±0.069) and was least in non-diabetics (0.89±0.079). (p< 0.001)