Study on Polycystic Ovary Syndrome Risk: Efficacy of Self-Assessment Test | Chapter 11 | Highlights on Medicine and Medical Science Vol. 13

 The goal of this study was to see if an online questionnaire could accurately estimate the risk of Polycystic Ovary Syndrome (PCOS) in young women.

PCOS is a growing cause of morbidity in young women all over the world. This condition has been connected to exogenous factors such as irregular menses, hirsutism, and obesity. There are few standardised self-assessment tests based on easily observable traits that might help patients efficiently identify their PCOS risk in the Indian population.

Methods: Undergraduate women between the ages of 18 and 22 who were enrolled on a university campus completed the survey questionnaire. The self-assessment test has 19 questions with binary "yes" or "no" answers. For a total of 19 points, each "yes" received one point and each "no" received zero.

Women who had irregular menses (the test group) were compared to women who had regular menses (the control group) (control group).

Welch's modified t-test at 5% was used to determine the significance between the groups.

The clinical examination determined whether PCOS was present or not.

Results: A total of 1,544 women took part in the study. 262 (24.8 percent) of young women had an irregular menstrual cycle, according to the study. The control group had an average total score of 3.072.35, while the women with irregular menses had an average total score of 5.932.86. Twenty-one of the twenty-eight women who scored high on the Rotterdam criteria were diagnosed with PCOS.

Conclusions: The self-assessment test can be used to determine the risk of PCOS. When it comes to predicting the presence of PCOS, this test has a sensitivity and accuracy of 75%.

Author (S) Details

Jyoti Taneja
Department of Zoology, Daulat Ram College, Delhi University, Delhi, India.

Taruna Arora
Department of Biochemistry, Institute of Home Science, Delhi University, Delhi, India.

Anju Jain
Department of Zoology, Daulat Ram College, Delhi University, Delhi, India.

Chandra Mansukhani
Department of Obstetrics and Gynecology, Ganga Ram Hospital, Delhi, India.

Latika Bhalla
Department of Pediatrics, Ganga Ram Hospital, Delhi, India.

Sarita Nanda
Department of Biochemistry, Daulat Ram College, Delhi University, Delhi, India.

View Book :- https://stm.bookpi.org/HMMS-V13/article/view/2730