ABSTRACT

Background: Poly Cystic Ovarian Syndrome (PCOS) is an emerging health problem affecting women of reproductive age and because of its high prevalence it has gained much attention in this present era. Early diagnosis and proper management are crucial to address symptoms and minimize long-term health risks. Objective: Primary: Efficacy of online self-assessment test for early detection of polycystic ovary syndrome risk in young student population. Secondary: Identifying the relationship between the type of menses, regular or irregular and score levels. Method: This was a cross-sectional survey study among 277 girl students in the urban area of Karnataka, India. Convenience sampling between the ages of 18- 25 yrs students and willing to participate were included in the study. Survey basis 19-question self- assessment test for PCOS risk adapted from Elizabeth Lee Viet PDF. A pre- tested, self-guided close ended and structured questionnaire was used. Results: The chi-square value of 18.69 and p-value of 0.001 indicate a statistically significant relationship between the type of menses and test score levels. This significance highlights the importance of menstrual regularity as a potential indicator of overall health. The t-value of -6.469 further supports the significance of this difference, reinforcing that the association between irregular menses and higher total scores is statistically robust. Conclusion: In this self-scoring survey suggesting a fairly normal distribution of scores and effectiveness of early detection of PCOS risk. Respondents reported enough symptoms to warrant further medical investigation. Keywords: Menstrual cycle disorder, Polycystic ovary syndrome, Premenstrual syndrome, PCOS Survey, Women's health issues, PCOS Self-assessment, PCOS risk factors
Publication date: 15/03/2025

https://ijbpas.com/pdf/2025/March/MS_IJBPAS_2025_MARCH_SPCL_1058.pdf

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https://doi.org/10.31032/IJBPAS/2025/14.3.1058