Assessment of factors related to poly cystic ovarian syndrome – A comparative and correlational study

Abstract

Polycystic ovarian syndrome (PCOS) is a common endocrine disorder that primarily affects women of reproductive age. It is particularly prevalent among adolescent females who receive an insufficient diagnosis despite having potentially adverse consequences. The use of PCOS screening questionnaires has the potential to aid in the early detection of symptoms. The goal of this study is to observe if a self-administered questionnaire may be useful for a clear cognizance of the associated conditions like mental stress and menstrual characteristics correlated to polycystic ovary syndrome. In this study, we selected women within an age group of 17–40 with and without PCOS based on the modified Rotterdam criteria to fill out a self-administrated questionnaire based on the signs and symptoms of PCOS majorly focusing on mental stress and menstrual characteristics. SPSS software, univariate analyses were employed to elucidate the associations among the components of PCOS, demographic factors, and lifestyle characteristics, hence providing insights into the interrelationships among those variables. 64 women with PCOS and 141 women without PCOS participated in the present study. The present study revealed PCOS is greatly influenced by age at menarche (p-value= .043), typical cycle length (p-value = .000) mental health problems during menstruation (p-value = .032), and body mass index (p-value = .001). Multivariate hierarchical logistic regression analysis showed only 2 variables BMI (a-OR 1.156,95% CI (1.067–1.242), p-value = .000), and typical cycle length (a-OR 2.278, 95% CI (1.079–4.809), p-value = .003) were significant. The present study showed that BMI and menstrual cycle length were most closely associated with the incidence of PCOS, which is important in diagnosing and treating the condition. Considering the high incidence of PCOS among women of reproductive age and its potential for significant health implications, it would be prudent to incorporate inquiries regarding mental health concerns and menstrual patterns into routine medical assessments for this demographic analysis. This approach aims to ascertain whether additional diagnostic evaluations and screenings for PCOS are warranted.

Keywords:

• Binary logistic regression
• polycystic ovarian syndrome
• menstruation
• mental stress

Acknowledgment

The authors would like to acknowledge the School of Biosciences and Technology, Vellore Institute of Technology for the resources.

Authors contributions

Ramasamy Tamizhselvi designed the experiments. Aparna Eledath Kolasseri developed the questionnaire and collected the responses. Anjana Eledath Kolasseri participated in the design of the study and performed the statistical analysis. Jayanthi Sivaraman analyzed the results and helped to draft the manuscript. Aparna Eledath Kolasseri prepared the manuscript with contributions from all coauthors. All authors read and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available on request from the corresponding author, Ramasamy Tamizhselvi. The data are not publicly available due to restrictions since they contain information that could compromise the privacy of research participants.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.