Sadaf Imtiaz, Pashmina Gul, Shizra Shahnawaz, Tabassum Zarrar, Kaneez Kubra, Sajida Akram
Objective: To study the frequency of metabolic syndrome in patients with polycystic ovarian syndrome.
Study Design: Cross-sectional study.
Place and Duration of Study: The study was carried out at the outpatient Department of Gynecology Unit-II from 1st September 2019 to 25th January 2020.
Materials and Methods: Females aged 18 to 45 years were diagnosed with polycystic ovarian syndrome using Rotterdam criteria. The diagnosis of metabolic syndrome was made upon the Adult Treatment Panel criteria National Cholesterol Education Program Expert Panel, i.e., the presence of any three features like central obesity, dyslipidemia, hypertension, and elevated fasting blood sugar. All procedures were done by the researcher herself, and all data were recorded on a pre-designed questionnaire. Data was analyzed using SPSS version 25.
Results: The average age of the females was 30.98±7.05 years, most of whom were married (96.62%). Out of the total 148 females, 64.83% were diabetic, 29.73% had hypertension, 69.59% had dyslipidemia, and 29% were obese. Out of 148 females with polycystic ovarian syndromes, metabolic syndrome was present in 27.70%. The frequency of metabolic syndrome was significantly higher among obese females compared to normal and overweight with p-value=0.001. However, metabolic syndrome showed no significant association with age, marital status, parity, and duration of polycystic ovarian syndrome (p>0.05).
Conclusion: Metabolic syndrome is a prevalent condition in females with polycystic ovarian syndrome and having a high BMI makes it more likely. These findings andsystematic investigation can be used to justify a metabolic syndrome screening policy in polycystic ovarian syndrome for early detection and intervention, as well as a healthy future.
Keywords: Metabolic Syndrome, Polycystic Ovarian Syndrome, Rotterdam Criteria.
How to cite this: Imtiaz S , Gul P, Shahnawaz S, Zarrar T, Kubra K, Akram S. Frequency of Metabolic Syndrome in Patients with Polycystic Ovarian Syndrome. 2023; 4(3): 290-296. doi: http://doi.org/10.37185/LnS.1.1.360Read PDF
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