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Vol. 3, Issue 3 (2014)

Body mass index and abnormal uterine bleeding in premenopausal women: A correlation

Author(s):
Dr. G Ramesh Babu1 and Dr. I Rajendra Mohan2*
Abstract:
Background and Objective: The occurrence of endometrial cancer exhibits a positive correlation with body mass index (BMI), a pattern that has been noted in recent times due to the escalating prevalence of obesity among women. Although there is ample evidence demonstrating a correlation between endometrial cancer and obesity, there is a lack of awareness among the general population. An analytical case-control study was done to evaluate the correlation between body mass index (BMI) and endometrial pathology in premenopausal women with AUB
Methods: The research group for an analytical case-control study consisted of 120 women aged 40 to 55 who sought medical attention at the Department of General Surgery, Melmaruvathur Adhiparasakthi Institute of Medical Sciences, Tamil Nadu, India from November 2012 to October 2013. The menstrual cycles and endometrial patterns of these women, whose BMIs ranged from 18.5 to 24.99 and were less than 25, were analyzed using histopathology.
Results: The study cohort consisted of women aged 40 to 55, with an average age of 44.83. The average duration of the symptoms was similar in both groups. The control group had a duration of 8.52 months, whereas the patients group had a duration of 10.18 months. There was no noticeable difference in the menstrual cycles of the two groups, since they were identical. The cases group had higher average endometrial thickness, average BMI, and hyperplasia, with or without atypia, when compared to the control group. While lacking statistical significance, there was a higher incidence of atypical endometrial hyperplasia observed in women with increasing body mass index (BMI).
Pages: 70-75  |  37 Views  18 Downloads


The Pharma Innovation Journal
How to cite this article:
Dr. G Ramesh Babu1, Dr. I Rajendra Mohan2*. Body mass index and abnormal uterine bleeding in premenopausal women: A correlation. Pharma Innovation 2014;3(3):70-75.

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