Document Type : Original Article (s)
Authors
1
Assistant Professor, Midwifery and Reproductive Health Research Center, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2
Professor, Midwifery and Reproductive Health Research Center, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3
Professor, Department of Psychology, School of Psychology and Education, University of Tehran, Tehran, Iran
Abstract
Background: Female sexual interest and arousal disorder (FSIAD) is one of the most prevalent sexual problems among women, and is a multifactorial dysfunction. The purpose of this study was to examine nonbiological predictors of sexual desire in women with female sexual interest and arousal disorder.Methods: This cross-sectional study was conducted on 110 reproductive-age married women with female sexual interest and arousal disorder referred to health centers of Ardabil City, Iran, in 2017. Data collection instrument was demographic form and checklist of disease, Female Sexual Function Index (FSFI), and researcher-made questionnaire of nonbiological affecting factors of sexual desire. Data analysis was done using descriptive statistics, Pearson correlation coefficient, and linear regression tests in SPSS software.Findings: According to the prioritization, domains of spouse's sexual interaction (3.82 ± 1.10), privacy (3.24 ± 1.20), and economic factors (3.14 ± 1.3) ranked first to third, respectively. Linear regression analysis for predicting the factors affecting on sexual desire showed that the marital relationship and economic factors significantly predicted female sexual interest and arousal disorder (P < 0.05).Conclusion: Given the predictability of marital communication, training marital and sexual communication skills is suggested for improving couples' interactions, and preventing sexual reluctance. Moreover, training life skills enables managing and modifying the effects of other predictors, including economic factors.
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