Abstract

Polycystic ovary syndrome (PCOS) is a complex medical endocrine condition or disorder that affects a significant proportion of women at their reproductive ages worldwide. The current report examines the functional activity of antral follicle count (AFC) on the women at their reproductive ages. It examines the effects of AFC on women based on a real data set of 1000 subjects, and the data set is available in kaggle.dot com. The data source link is: https:// www.kaggle.com/datasets/samikshadalvi/pcos-diagnosis-dataset. The outcomes have been derived in the report using statistical joint generalized linear models. It is derived herein that mean AFC is negatively associated with the joint interaction effect (JIE) of the subjects’ body mass index (BMI) and menstrual irregularity (MIT) i.e., BMI*MIT (P=0.0009), while it is positively associated with MIT (P=0.0014), and it is independent of BMI (P=0.7212). Mean AFC is negatively associated with the JIE of MIT and testosterone (TET) levels i.e., MIT*TET (P=0.0718), while it is positively associated with MIT (P=0.0014) and indifferent of TET (P=0.7018). Mean AFC is positively associated the JIE of BMI and the subject’s polycystic ovary syndrome (PCOS) diagnostic status i.e., BMI*PCOS (P=0.0051), while it is indifferent of both BMI (P=0.7212) and PCOS (P=0.1413). On the other hand variance of AFC is negatively associated with PCOS (P<0.0001). This report concludes that AFC has many significant effects on PCOS women, and it is associated with BMI, MIT, TET and PCOS. These above findings may be helpful for the researchers, PCOS women and the practitioners. Care should be taken on abnormal BMI, menstrual irregularity, testosterone level and antral follicle count for PCOS women.

Keywords

ovary syndrome, testosterone, antral follicle, gamma fitted