Abstract
Introduction: Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder among women of reproductive age, often associated with metabolic and inflammatory complications.
Objectives: This study aims to evaluate the association between anthropometric parameters and high-sensitivity C-reactive protein (hs-CRP) levels, a marker of systemic inflammation, in women with PCOS.
Patients and Methods: This descriptive-analytical study involved 139 women diagnosed with PCOS and referred to Firouzabadi Hospital in Tehran between November 2021 and June 2022. Participants aged 15 to 45 years were included based on a definitive diagnosis of PCOS. Data were collected using a checklist that recorded demographic information and anthropometric measurements, including body mass index (BMI), waist circumference (WC), hip circumference, and waist-to-hip ratio (WHR). Additionally, hs-CRP was measured using venous blood samples in the laboratory. The primary outcome was evaluating the correlation between the anthropometric indices and serum hs-CRP concentration in women with PCOS.
Results: The results demonstrated significant correlations between hs-CRP levels and various anthropometric indices, comprising age, BMI, WC, and hip circumference. Each of these indices was positively associated with elevated hs-CRP levels, indicating that increases in these measurements corresponded to a higher likelihood of elevated hs-CRP. Additionally, the diagnostic accuracy of these anthropometric indices in predicting high hs-CRP levels indicated that WC exhibited the highest area under the curve (AUC), indicating superior predictive capability among the indices evaluated. The other anthropometric indices showed average sensitivity and specificity.
Conclusion: In conclusion, the results reveal a significant relationship between hs-CRP levels and various anthropometric indices, incorporating age, BMI, WC, and hip circumference. The findings highlight anthropometric indices as the significant predictor of elevated hs-CRP levels, emphasizing its importance in clinical assessments. These insights support the routine monitoring of anthropometric indices to identify individuals at risk for inflammation-related health issues, particularly in women with PCOS.