MENSTRUAL IRREGULARITY AND M-FRG SCORES: SHARED PREDICTORS OF DIAGNOSED AND HIGH-RISK PCOS IN UNIVERSITY STUDENTS
Author(s)
Hani S. Gupta, Doctor of Pharmacy1, SHRADDHA D. PANSARE, Doctor of Pharmacy1, Harshada S. Kale, Doctor of Pharmacy1, Adarsh V. Kanekar, Doctor of Pharmacy1, Anjana Barola, PhD1, Hemant Deshpande, MBBS, MD2;
1Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, India, 2Dr. D.Y. Patil Medical College Hospital and Research Centre, Pune, India
1Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, India, 2Dr. D.Y. Patil Medical College Hospital and Research Centre, Pune, India
OBJECTIVES: Polycystic Ovary Syndrome (PCOS) affects 8-22.5% of reproductive-age women in India. This study assessed prevalence of PCOS, High-Risk PCOS among university students and its clinical and metabolic predictors.
METHODS: 540 female university students (18-30 years) were screened using a simple questionnaire recording Waist to hip Ratio, BMI, Family history of metabolic disorder, Menstrual cycle length, Hirsutism using Modified Ferriman-Gallwey score (m-FRG), presence of Acne vulgaris and Acanthosis Nigricans (AN). Prevalence of PCOS was confirmed by previous clinical diagnosis. High-Risk PCOS were detected if response to both menstrual cycle > 35 days and m-FRG ≥ 4 was positive.
RESULTS: In the present study, prevalence of previously diagnosed PCOS was 9.4% (n=51). Moreover, prevalence of High-Risk PCOS was 9.1% (n=50). Upon multivariate logistic regression, the significant predictors of PCOS were BMI: AOR = 1.1 (95% CI: 1.0-1.1, p = 0.013), Not using birth control pills: AOR = 30.4 (95% CI: 8.9-104.3, p < 0.001), AN : AOR = 1.8 (95% CI: 1.2- 2.7, p = 0.003), Chest hair growth: AOR = 2.6 (95% CI: 1.3-5.2, p = 0.006), Upper abdominal hair growth: AOR = 2.8 (95% CI: 1.3-5.7, p = 0.004). Similarly, the significant predictors of High-Risk PCOS were , AN : AOR = 2.4 (95% CI: 1.7-3.4, p < 0.001), Chest hair growth: AOR = 3.0 (95% CI: 1.6-5.8, p < 0.001), Chin hair growth: AOR = 1.5 (95% CI: 0.9-2.5, p < 0.001), Upper lip hair growth: AOR = 1.8 (95% CI: 1.0-3.4, p = 0.045).
CONCLUSIONS: This study shows a notable burden of PCOS among university students, with similar prevalence of diagnosed and High-Risk cases. The strong overlap of predictors in both models supports menstrual irregularity and elevated m-FRG scores as simple, reliable screening tools for early PCOS detection.
METHODS: 540 female university students (18-30 years) were screened using a simple questionnaire recording Waist to hip Ratio, BMI, Family history of metabolic disorder, Menstrual cycle length, Hirsutism using Modified Ferriman-Gallwey score (m-FRG), presence of Acne vulgaris and Acanthosis Nigricans (AN). Prevalence of PCOS was confirmed by previous clinical diagnosis. High-Risk PCOS were detected if response to both menstrual cycle > 35 days and m-FRG ≥ 4 was positive.
RESULTS: In the present study, prevalence of previously diagnosed PCOS was 9.4% (n=51). Moreover, prevalence of High-Risk PCOS was 9.1% (n=50). Upon multivariate logistic regression, the significant predictors of PCOS were BMI: AOR = 1.1 (95% CI: 1.0-1.1, p = 0.013), Not using birth control pills: AOR = 30.4 (95% CI: 8.9-104.3, p < 0.001), AN : AOR = 1.8 (95% CI: 1.2- 2.7, p = 0.003), Chest hair growth: AOR = 2.6 (95% CI: 1.3-5.2, p = 0.006), Upper abdominal hair growth: AOR = 2.8 (95% CI: 1.3-5.7, p = 0.004). Similarly, the significant predictors of High-Risk PCOS were , AN : AOR = 2.4 (95% CI: 1.7-3.4, p < 0.001), Chest hair growth: AOR = 3.0 (95% CI: 1.6-5.8, p < 0.001), Chin hair growth: AOR = 1.5 (95% CI: 0.9-2.5, p < 0.001), Upper lip hair growth: AOR = 1.8 (95% CI: 1.0-3.4, p = 0.045).
CONCLUSIONS: This study shows a notable burden of PCOS among university students, with similar prevalence of diagnosed and High-Risk cases. The strong overlap of predictors in both models supports menstrual irregularity and elevated m-FRG scores as simple, reliable screening tools for early PCOS detection.
Conference/Value in Health Info
2026-05, ISPOR 2026, Philadelphia, PA, USA
Value in Health, Volume 29, Issue S6
Code
CO152
Topic
Clinical Outcomes
Disease
SDC: Diabetes/Endocrine/Metabolic Disorders (including obesity), SDC: Reproductive & Sexual Health