Abstract
Polycystic ovarian syndrome (PCOS) is one of the common endocrine disorders. This study aimed to assess predictive factors of sexual quality of life among Iranian women with PCOS. A cross-sectional study was conducted on 100 women with PCOS in Hamadan, Iran, from July to October 2021. Data was collected using The Sexual Quality of Life–Female (SQOL-F) questionnaire, The Hurlbert Index of Sexual Compatibility, hirsutism, and a general health questionnaire (GHQ-28). Data were analyzed using descriptive statistics, Bivariate Pearson correlations, and a path model by the SPSS, Version 16, and LISREL software version 8.5. The average age of participants was 32.80 years. The mean (SD) of the total SQOL-F, sexual compatibility, and GHQ were 69.36 (18.78), 55.44 (7.07), and 58.06 (12.87), respectively. Our results showed that hirsutism score, GHQ, and sexual compatibility were the main predictors of the SQOL-F. Sexual compatibility has an indirect effect on the SQOL-F through the GHQ. The findings of the present study suggest that women with PCOS should be routinely screened for sexual quality of life by qualified health professionals. In addition, the necessary medical interventions and counseling should be done for improving sexual compatibility, mental health, and clinical manifestation of these women.
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The datasets generated and/or analyzed during the current study are available.
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Acknowledgements
This work was supported by Hamadan University of Medical Sciences with Code 9910167205.
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EJ initiation of the study, AM analyses of the data, all authors’ acquisition of the data, interpretation of the data, AM analyses of the data and preparation of the figure, EJ and AM interpretation of the study, writing the main manuscript text. All authors reviewed the manuscript.
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The study was approved by the Ethical Committee of Hamadan University of Medical Sciences with Code IR.UMSHA.REC.1399.808.
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Maleki, A., Jenabi, E., Fereidooni, B. et al. Predictive factors of Sexual Quality of Life in women with polycystic ovary syndrome: a path analysis. Int J Impot Res 35, 748–752 (2023). https://doi.org/10.1038/s41443-022-00630-z
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DOI: https://doi.org/10.1038/s41443-022-00630-z