Differential Prevalence of Depression Symptoms in Obese Versus Non-obese Women with Polycystic Ovary Syndrome

Abstract

Background: Polycystic ovarian syndrome (PCOS) is a prevalent chronic endocrine disorder that effects on women ovaries. It is characterized by mental health issues including depression and obesity. Hence the purpose of this particular study was to determine whether depressive symptoms were more common in obese PCOS women or in non-obese women. Methodology: The current study involved a cross-sectional design where the participants were 200 women with PCOS, and they were further divided into the obese and non-obese groups on the bases of their BMI. The depressive symptoms were assessed with the Beck Depression Inventory – II (BDI-II). Raw data were interpreted bio- statistically by applying chi-squared test and logistic regression to determine the association between symptoms of obesity and depression by using a software known as SPSS. Results: The women of obese group with polycystic ovarian syndrome had a mean score of moderate (35.12± 0.01) and severe depressed symptoms than the non-obese PCOS women (22.11± 0.03). The applications of the logistic regression model revealed that the obesity could be considered to have a statistically significant (P≤0.05) impact on the depression symptoms. Conclusion: Through the research that the study carried out it was discovered that obesity could be causatively related to depression in women with PCOS. These results point to the importance of the proposed features of PCOS as a complex disorder that requires a holistically oriented treatment approach that involves not only physical but also psychological factors.