Correlations Between Anthropometry and Lipid Profile in Women With PCOS

BACKGROUND: Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in reproductive age women and is associated with both reproductive and metabolic abnormalities. Recent studies have demonstrated an early onset of abnormal cardiovascular risk profile in women with PCOS. Abnormal lipid profile patterns are common in women with PCOS, and these abnormalities are not uniform in all populations. Anthropometry is a simple and commonly used research tool for assessing metabolic risk in women with PCOS. Therefore, this study examined the correlations between anthropometric parameters and lipid profile in women with PCOS. OBJECTIVES: The objectives of the study were (1) To study the anthropometric profile of women with PCOS, (2) To examine the lipid profile pattern of these women with PCOS and (3) To see whether there exists any correlation between these anthropometric parameters and lipid profile. MATERIALS AND METHODS: This observational cross-sectional study examined anthropometry and lipid profile in 86 married women with PCOS in the age group of 18–35 years and correlated them by using Pearson’s correlation coefficient. RESULTS: More than 80% of the women with PCOS demonstrated abnormal anthropometric parameters, and in more than 70% women, lipid abnormalities such as low levels of high-density lipoprotein (HDL) cholesterol and high levels of triglycerides and low-density lipoprotein cholesterol were observed. Significant positive correlations were seen between body mass index (BMI) and triglycerides (P ≤ 0.001) and waist circumference (WC) and triglycerides (P ≤ 0.029). Negative correlations were observed between BMI and HDL cholesterol (P ≤ 0.013). CONCLUSION: This study revealed that BMI and WC are the most important anthropometric parameters correlated to dyslipidemia in the south Indian women with PCOS.