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Research Journal of Medical Sciences

ISSN: Online 1993-6095
ISSN: Print 1815-9346
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Prevalence and Risk Factors for Metabolic Syndrome in Individuals with Polycystic Ovary Syndrome‐An institutional Study

Ramani Anishetty, Vyshnavi Kasarla, Sailaja Kanakamedala and Maitri Kulkarni
Page: 114-118 | Received 22 Jun 2024, Published online: 10 Aug 2024

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https://doi.org/10.36478/10.36478/makrjms.2024.9.114.118

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Abstract

Polycystic Ovary Syndrome (PCOS) is commonly linked with metabolic syndrome, increasing cardiovascular and diabetes risks. This study evaluates the prevalence and risk factors of metabolic syndrome in individuals with PCOS. This institutional study included 310 participants aged 18‐35 years diagnosed with PCOS. Demographic data, clinical assessments, biochemical analyses and ovarian ultrasound findings were collected. The Homeostasis Model Assessment of Insulin Resistance (HOMA‐IR) was used to evaluate insulin resistance. Diagnostic criteria for metabolic syndrome were based on the International Diabetes Federation (IDF) guidelines. The study of 310 participants aged 18‐35 years with Polycystic Ovary Syndrome (PCOS) revealed significant metabolic challenges. The mean age was 26.8 years, with an average BMI of 28.6 kg/m². Clinical assessments showed prehypertensive blood pressures (mean systolic: 128.4 mm Hg, diastolic: 83.7 mm Hg). Biochemical analysis indicated insulin resistance (mean HOMA‐IR: 3.9), elevated fasting glucose (100.5 mg/dL) and dyslipidemia (mean triglycerides: 162.3 mg/dL, HDL: 43.7 mg/dL). Ovarian ultrasounds found polycystic ovaries in 88.7% of participants. A significant portion met the criteria for metabolic syndrome, driven by central obesity, dyslipidemia, and insulin resistance. The study found a high prevalence of metabolic syndrome among individuals aged 18‐35 years with PCOS, emphasizing the need for early intervention. Central obesity, dyslipidemia and insulin resistance were identified as significant risk factors. These findings underscore the importance of a multidisciplinary approach, combining lifestyle modifications and pharmacological therapies, to improve metabolic outcomes and reduce long‐term health risks in this population.

How to cite this article:

Ramani Anishetty, Vyshnavi Kasarla, Sailaja Kanakamedala and Maitri Kulkarni. Prevalence and Risk Factors for Metabolic Syndrome in Individuals with Polycystic Ovary Syndrome‐An institutional Study.
DOI: https://doi.org/10.36478/10.36478/makrjms.2024.9.114.118
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2024.9.114.118