Assessment of Health-Related Quality of Life Using PCOSQ Tool, Its Determinants and Coping Mechanisms Used by Women with Polycystic Ovarian Syndrome Attending Multidisciplinary Clinic in Mumbai, India

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.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Assessment of Health-Related Quality of Life Using PCOSQ Tool, Its Determinants and Coping Mechanisms Used by Women with Polycystic Ovarian Syndrome Attending Multidisciplinary Clinic in Mumbai, India

Cited by 2 publications

References 35 publications

Assessment of Health-Related Quality of Life and the Role of Social Support in Reducing the Severity of Symptoms in Women with Polycystic Ovary Syndrome

Assessment of Health-Related Quality of Life and the Role of Social Support in Reducing the Severity of Symptoms in Women with Polycystic Ovary Syndrome

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

Contact Info

Product

Resources

About