Background: Obesity is a modern day scourge which plays havoc on the menstrual life of women in the reproductive age group. Disorders of menstrual cycle affect the women psychologically as well as physically. To estimate the obesity of an individual a cost effective method is to calculate the BMI (Body Mass Index). This is a reliable tool in early detection of Obesity and its associated disorders. In women of the reproductive age group an increased Body Mass Index results in alteration of hormonal levels resulting in altered menstrual cycles. In women with polycystic ovarian syndrome, the hormonal levels are so altered that many cycles are anovulatory. Estimation of Body Mass Index and comparing them with the hormonal levels will provide a fair idea in understanding the disease process. Materials and Methods: The test subjects were 79 apparently healthy women volunteers. They were divided into two groups based on menstrual history. Nineteen subjects were in control group and sixty were in the test group. BMI was calculated for both the groups. Blood levels of FSH, LH and Fasting Blood Glucose was estimated after obtaining consent and withdrawal of blood was done under aseptic precautions. The resultant measurements were subjected to statistical analysis, Results: The mean BMI of the test group was 25.48 Kg/m2and the mean BMI of the control group was 23.07Kg/m2. The Mean FSH levels in test group 7.88 mIU/ml and in the control group it was 8.95mIU/ml. The mean Prolactin levels in the test group were 16.635 ng/ml and in the control group it was 10.35 ng/ml. The mean LH levels in the test group were 6.53mIU/ml and in the control group it was 3.76mIU/ml. The mean fasting blood glucose levels in the test group was 94 mg/dl and in the control group it was 84 mg/dl. Conclusion: It is evident from the present study that the mean hormonal levels of LH and Prolactin and the fasting blood glucose levels are significantly higher in persons with polycystic ovarian syndrome and the FSH levels are lower in persons with polycystic ovarian syndrome which indicates that there could be always increased number of anovulatory cycles in such individuals.