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Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital
INTRODUCTION: Polycystic ovarian syndrome is considered to be one of the most common endocrine disorders among women of reproductive age. Characterized by a triad of androgen excess, anovulation, infertility, and obesity the disease can lead to several complications like infertility, endometrial car...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Journal of the Nepal Medical Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654459/ https://www.ncbi.nlm.nih.gov/pubmed/32538921 http://dx.doi.org/10.31729/jnma.4885 |
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author | Shreeyanta, K.C. Shah, Rakesh Kumar Singh, Avilasha Prasai, Astha Bhandari, Birat Aryal, Saman Khatri, Asmita Thapa, Meena |
author_facet | Shreeyanta, K.C. Shah, Rakesh Kumar Singh, Avilasha Prasai, Astha Bhandari, Birat Aryal, Saman Khatri, Asmita Thapa, Meena |
author_sort | Shreeyanta, K.C. |
collection | PubMed |
description | INTRODUCTION: Polycystic ovarian syndrome is considered to be one of the most common endocrine disorders among women of reproductive age. Characterized by a triad of androgen excess, anovulation, infertility, and obesity the disease can lead to several complications like infertility, endometrial carcinoma. This study aims to find out its prevalence among female medical undergraduates. METHODS: A descriptive cross-sectional study was conducted among female undergraduate medical students in a tertiary care hospital from 1(st) to 7(th) February 2018. Ethical approval was taken from the Institutional Review Committee (reference number 10012018). The sample size was calculated. Systematic random sampling was done. Statistical Package for the Social Sciences version 20.0 was used. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. RESULTS: Out of 381 participants, the prevalence of polycystic ovarian syndrome was found to be 35 (9.18%) at 95% Confidence Interval (6.28-12.08). Eighty (20.99%) participants were reported to have prolonged menses, 28 (7.34%) tended to grow dark, coarse hair, 79 (20.73%) reported being obese or overweight, and milky discharge from nipple was present in 4 (1.049%). CONCLUSIONS: The prevalence of polycystic ovarian syndrome was found to be similar to other studies conducted in similar settings. But still, it is a growing endocrinological problem in the females of the reproductive age group. Early screening is necessary to prevent lifelong complications. |
format | Online Article Text |
id | pubmed-7654459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Journal of the Nepal Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-76544592020-11-30 Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital Shreeyanta, K.C. Shah, Rakesh Kumar Singh, Avilasha Prasai, Astha Bhandari, Birat Aryal, Saman Khatri, Asmita Thapa, Meena JNMA J Nepal Med Assoc Original Article INTRODUCTION: Polycystic ovarian syndrome is considered to be one of the most common endocrine disorders among women of reproductive age. Characterized by a triad of androgen excess, anovulation, infertility, and obesity the disease can lead to several complications like infertility, endometrial carcinoma. This study aims to find out its prevalence among female medical undergraduates. METHODS: A descriptive cross-sectional study was conducted among female undergraduate medical students in a tertiary care hospital from 1(st) to 7(th) February 2018. Ethical approval was taken from the Institutional Review Committee (reference number 10012018). The sample size was calculated. Systematic random sampling was done. Statistical Package for the Social Sciences version 20.0 was used. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. RESULTS: Out of 381 participants, the prevalence of polycystic ovarian syndrome was found to be 35 (9.18%) at 95% Confidence Interval (6.28-12.08). Eighty (20.99%) participants were reported to have prolonged menses, 28 (7.34%) tended to grow dark, coarse hair, 79 (20.73%) reported being obese or overweight, and milky discharge from nipple was present in 4 (1.049%). CONCLUSIONS: The prevalence of polycystic ovarian syndrome was found to be similar to other studies conducted in similar settings. But still, it is a growing endocrinological problem in the females of the reproductive age group. Early screening is necessary to prevent lifelong complications. Journal of the Nepal Medical Association 2020-05 2020-05 /pmc/articles/PMC7654459/ /pubmed/32538921 http://dx.doi.org/10.31729/jnma.4885 Text en © The Author(s) 2020. http://creativecommons.org/licenses/by/4.0/ This is an Open-Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Shreeyanta, K.C. Shah, Rakesh Kumar Singh, Avilasha Prasai, Astha Bhandari, Birat Aryal, Saman Khatri, Asmita Thapa, Meena Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital |
title | Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital |
title_full | Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital |
title_fullStr | Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital |
title_full_unstemmed | Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital |
title_short | Prevalence of Polycystic Ovarian Syndrome among Medical Students of a Tertiary Care Hospital |
title_sort | prevalence of polycystic ovarian syndrome among medical students of a tertiary care hospital |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654459/ https://www.ncbi.nlm.nih.gov/pubmed/32538921 http://dx.doi.org/10.31729/jnma.4885 |
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