European Journal of Molecular & Clinical Medicine

Abstract

Background: Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women and is increasingly understood to present with numerous comorbidities. The present study was conducted to assess relation of socioeconomic status with polycystic ovary syndrome.
Materials & Methods: 48 patients of polycystic ovary syndrome were selected and serum progesterone was measured on days 21 to 24 of a spontaneous or induced menstrual cycle. Serum progesterone, SHBG, and insulin were measured by commercial radioimmunoassay methods. Insulin resistance was calculated by the Quantitative Insulin-Sensitivity Check Index (QUICKI).
Results: Age group 18-28 years had 12, 28-38 years had 20 and >38 years had 16 patients. The difference was non- significant (P> 0.05). Low family income was seen in 8, medium family income in 14 and high family income in 26 patients. Anovulation was seen in 90%, 78% and 55%, BMI was 30.5, 29.4 and 26.8, mean waist was 96.5 cm, 93.2 cm and 87.5 cm, mean insulin was 15.9 µU/mL, 15.3 µU/mL and 13.5 µU/mL in high, middle and low income subjects respectively. The mean QUICKI was 0.32, 0.35 and 0.33 in high family income, medium family income and low family income patients respectively.
Conclusion: It was found that patients with high socio- economic status had higher chances of Polycystic ovary syndrome.