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Research Paper | Physiology | India | Volume 11 Issue 6, June 2022
Assessment of Risk Factors for Developing PCOS: A Questionnaire based Study
Aarcha Raju | Smitha K. K. | J. K. Mukkadan [8]
Abstract: Introduction: Polycystic Ovarian syndrome (PCOS) is a triangle of Obesity, Amenorrhea and Hirsutism. The common features of PCOS are irregular or an ovulatory cycle with signs of hyperandrogenism like acne, seborrhea, hirsutism, alopecia, and with polycystic ovaries. Objectives: 1) To understand the common factors between PCOS Group and Non PCOS Group. 2) To get an idea about PCOS common symptoms and subjects will be able to take suitable preventive measures. Materials and Methods: A Total of 96 female participants 48 PCOS females and 48 NON PCOS females were included in the study after obtaining voluntary, informed consent by simple random sampling. This questionnaire based study included females of reproductive age. A questionnaire consisting of 26 questions related to PCOS prepared in accordance with the available literature and gynaecologist?s opinion. Questions were circulated and collected data were analysed. Statistical Analysis: Statistical analysis was done using IBM SPSS 20.0 (SPSS Inc., Chicago, USA). Continuous variable age was presented by Mean?SD. Categorical variables are expressed as frequency and percentage. To test the statistical significance of the mean difference in the age between PCOS and Non PCOS group, independent sample t test was applied. To test the statistical significance of the difference in the categorical variables between PCOS and Non PCOS group, Chi - square test will be applied. To find the most significant predictors of PCOS, multivariate binary logistic regression analysis was used. A p value < 0.05 was considered as statistically significant. Result: The results of the multivariate analysis showed that Unpredictable periods was the most significant factor for PCOS (p value<0.001, Odds Ratio (95% CI) - 5.8 (2.16, 15.6). Family history of other diseases (p value=0.002) and Hypoglycaemia (p value=0.058) were independent factors. Conclusion: This study helped in identifying the unpredictable periods as the significant factor among the two groups (48 each) - PCOS and non PCOS groups, which was administered through a standardized questionnaire.
Keywords: Polycystic Ovarian syndrome, PCOS, Obesity, Amenorrhea, Hirsutismm, hyperandrogenism
Edition: Volume 11 Issue 6, June 2022,
Pages: 985 - 988