---

Assessment of determinants of polycystic ovarian syndrome in women in reproductive age group attending tertiary healthcare facility in southern Maharashtra

---

Original Article

Author Details : Varun Gaitonde, Supriya Patil, Sanjaykumar Patil, Yamini Patil

Volume : 5, Issue : 3, Year : 2018

Article Page : 372-376

https://doi.org/10.18231/2394-2754.2018.0085

Suggest article by email

Get Permission

---

Abstract

Introduction: Pathophysiology of PCOS reveals excessive ovarian and/or adrenal androgen secretion results in hyperandrogenism and is associated clinical manifestations ranging from hirsutism, acne, male-pattern baldness to irregular menses, infertility. This study aims at assessing the prevalence and clinical presentations of PCOS among women of the reproductive age group attending the OPD of a tertiary care centre.
Materials and Methods: The study was carried women of reproductive age group (15-45yrs) attending Obstetrics and Gynaecology OPD of a tertiary care hospital presenting with relevant symptoms from July 2015 to July 2017.
Results: In the present study, the average age of participant was 22.47 + 3.44 years, we also found that menstrual abnormalities were observed among all the study participants followed by skin discolouration (32.4%). Average BMI in kg/m2 was 22.22 + 2.22.
Conclusions: PCOS in a common disorder among young women. Menstrual problems are the commonest reason for gynecological OPD consultation among adolescent girls. Evaluation of bleeding problems in adolescents is justified, before considering them as normal physiological transition.

Keywords: Polycystic ovarian syndrome (PCOS), Menstrual abnormalities, Hyperandrogenism in women, Reproductive age women, Infertility.

How to cite : Gaitonde V, Patil S, Patil S, Patil Y, Assessment of determinants of polycystic ovarian syndrome in women in reproductive age group attending tertiary healthcare facility in southern Maharashtra. Indian J Obstet Gynecol Res 2018;5(3):372-376

This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.