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Correlation Between Number of Ovarian Cysts in Polycystic Ovary Syndrome and Anthropometric and Biochemical Factors..

Author(s): Havagiray R Chitme, Eman Al Azawi, Anfal Mohammed Al Abri, Buthina Mohammed Al Busaidi, Zamzam Khamis Al Abdul Salam, Maisa Mosa Al Taie B Saja Khamis Al Harbo

Polycystic ovary syndrome is one of the most common complex conditions characterised by presence of ovarian cysts in one side or both sides of the ovary. It is known to cause various health problems in women such as menstrual disorders, infertility, endocrine disturbance, insulin resistance and change in composition of body. Therefore present study was carried out to know whether there is any correlation between number of ovarian cysts in PCOS infertile patients and factors related to body composition, anthropometrics, insulin resistance, and insulin sensitivity. Present cross sectional study was carried out at a specialty medical centre for six months of period among sixty one infertile patients diagnosed with PCOS. Pearson correlation analysis has shown a significant (p<0.05) negative correlation between number of cysts and ideal body weight, and trunk skeletal muscle whereas it was negatively highly significant (p<0.01) with whole skeletal muscle and skeletal muscle to total fat ratio. Positive and significant (p<0.05) Pearson correlation was noted with arm subcutaneous fat whereas a highly significant (p<0.01) correlation was noted with total fat, whole subcutaneous fat and trunk subcutaneous fat. Linear regression analysis of the data shows a significant (p<0.05) relation between number of cysts and total body fat. Results of our study have shown no correlation between number of ovarian cysts and insulin activity directly. We conclude from this study that there is a significantly positive correlation between number of ovarian cysts and visceral fat, whole subcutaneous fat and trunk subcutaneous fat. We also conclude that a significantly negative correlation is seen between number of cysts and ideal body weight, skeletal muscle composition and skeletal muscle to fat ratio.


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