Study on Polycystic Ovary Syndrome Risk: Efficacy of Self-Assessment Test

Taneja, Jyoti and Arora, Taruna and Jain, Anju and Mansukhani, Chandra and Bhalla, Latika and Nanda, Sarita (2021) Study on Polycystic Ovary Syndrome Risk: Efficacy of Self-Assessment Test. In: Highlights on Medicine and Medical Science Vol. 13. B P International, pp. 115-122. ISBN 978-93-91473-78-5

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Abstract

Objective of the Study: To observe the efficacy of the online questionnaire in assessing the risk of Polycystic Ovary Syndrome (PCOS) in young women.

Background: PCOS is a rising morbidity among young women around the world. Exogenous variables such as irregular menses, hirsutism, and obesity have been linked to this condition.In the Indian population, there are few standardised self-assessment measures based on easily observable characteristics that can assist patients effectively determine their PCOS risk.

Methods: The survey questionnaire was filled out by undergraduate women between the ages of 18 and 22 who were enrolled on a university campus. The self-assessment test consisted of 19 questions with binary answers of "yes" or "no." Each "yes" received one point, while each "no" received zero, for a total of 19 points.

The scores of women with irregular menses (the test group) were compared to those of women with normal menses (the control group) (control group).

The significance between the groups was calculated using Welch's adjusted t-test at 5%.

The existence or absence of PCOS was established by the clinical examination.

Results: The study enlisted the participation of 1,544 women. According to the findings, 262 (24.8 percent) of young women have an irregular menstrual cycle. The average total score of the control group was 3.07±2.35, while the average total score of the women with irregular menses was 5.93±2.86. On clinical examination using Rotterdam criteria, 21 out of 28 females who scored high were diagnosed with PCOS.

Conclusions: The risk of PCOS can be assessed using the self-assessment test. This test has a sensitivity and accuracy of 75% when it comes to predicting the existence of PCOS.

Item Type: Book Section
Subjects: Eurolib Press > Medical Science
Depositing User: Managing Editor
Date Deposited: 30 Oct 2023 04:38
Last Modified: 30 Oct 2023 04:38
URI: http://info.submit4journal.com/id/eprint/2733

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