The predictors of quality of life in women with polycystic ovarian syndrome.

Abstract

Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorder that may be effective in reducing the quality of life. This study aimed to determine the predictors of quality of life in women with PCOS. This cross-sectional study was conducted on 174 women with PCOS who attended in public and private fertility clinics in Urmia (West Azerbaijan, Iran), 2015. The data were collected through the questionnaires of sociodemographic and obstetrics characteristics, quality of life and Beck depression inventory-II. Multivariate linear regression was used to estimate the effect rate of the independent variables (depression and sociodemographic characteristics) on the dependent variable (quality of life). In this study, the mean (standard deviation) of total score of the quality of life was obtained, 45.8 (11.3) in the range 0-100. The highest and lowest mean scores were in the subdomains of weight and hirsutism. The variables of depression, body mass index, woman's job, menstrual cycle intervals, and sexual satisfaction were predictors of the quality of life in women with PCOS. Because of various effective factors on quality of life in these women such as depression, necessary strategies must be implemented to control these factors and improve the quality of life.