Association of Demographic, Lipid and Hormonal Profile with Polycystic Ovarian Syndrome in Pakistani Women
Association of Demographic, Lipid and Hormonal Profile with Polycystic Ovarian Syndrome in Pakistani Women
Farhatul-Ain Arshad1, Asia Bibi1*, Amna Mushtaq1, Rubaida Mehmood2 and Nahid Kausar1
ABSTRACT
The polycystic ovarian syndrome (PCOS) is an endocrine disease in reproductively aged women and is charactered bydyslipidemia, hyper-androgenism, acne, hirsutism, menstrual irregularities, and ovarian dysfunction resulting in infertility. A balanced body mass index, physical fitness, biochemical and endocrine ratios play vital role in proper functioning of reproductive system and guard against PCOS development. This study was conducted to investigate the role of socio-demographic variables, lipid and hormonal level/ratios in obese and non-obese PCOS individuals. For this purpose, a total of 300 subjects were recruited from Southern Punjab consisting of obese cases (n=61), non-obese cases (n=89), obese controls (n=35) and non-obese controls(n=115). Analysis of the socio-demographic variables in PCOS showed significant association with geographical area, diet, monthly income, smoking status, education, medication, infertilitycomplications and family history in obese and non-obese cases compared to controls. Statistical analysis showed a significant difference in BMI, lipid profile (serum level of HDL, LDL, CHOL/HDL, HDL/LDL and LDL/HDL ratios) and endocrine profile (estradiol and insulin levels) between obese cases and obese controls. We have also observed a significantly lowerserum HDL, estradiol, levels and HDL/LDL ratio compared to control groups. While CHOL level was significantly higher in obese cases than obese controls, the serum TG/HDL ratio, LH, FSH, testosterone and progesterone levels were significantly higher in non-obese cases as compared to non-obese controls. Taken together, we showed that obesity is not an exclusive factor involved in the development of PCOS. The occurrence and prevalence of PCOS are attributed to multiple alternative factors which warrant future studies comprising of larger cohorts and at the national levels.
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