Prevalence of Sexual Dysfunction in Healthy Women and its Predictors: A Cross-Sectional Study

Background: Sexuality is an important and inseparable part of the life of every woman. Female sexual dysfunction (FSD) has a major influence on quality of life and can lead to personal distress and anxiety. This study aimed to determine the prevalence of sexual dysfunction and predisposing factors i...

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Main Authors: Sedighe Rezaie-Chamani (Author), Mona Rahnavardi (Author), Shadi Sabetghadam (Author), Sahar Mahbubinejad (Author), Azizeh Farshbaf-Khalili (Author), Nazanin Rezaie (Author)
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Published: Golestan University of Medical Sciences, 2020-04-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Sedighe Rezaie-Chamani  |e author 
700 1 0 |a Mona Rahnavardi  |e author 
700 1 0 |a Shadi Sabetghadam  |e author 
700 1 0 |a Sahar Mahbubinejad  |e author 
700 1 0 |a Azizeh Farshbaf-Khalili  |e author 
700 1 0 |a Nazanin Rezaie  |e author 
245 0 0 |a Prevalence of Sexual Dysfunction in Healthy Women and its Predictors: A Cross-Sectional Study 
260 |b Golestan University of Medical Sciences,   |c 2020-04-01T00:00:00Z. 
500 |a 2588-3038 
520 |a Background: Sexuality is an important and inseparable part of the life of every woman. Female sexual dysfunction (FSD) has a major influence on quality of life and can lead to personal distress and anxiety. This study aimed to determine the prevalence of sexual dysfunction and predisposing factors in women. Methods: This cross-sectional study was carried out on 400 outpatient women aged 15-49, who had a health record in the health care centers of Rasht, Iran during 2015-2016. Samples were selected through multi-stage cluster sampling method. Data collection tool included demographics and reproductive information, the standard questionnaire of female sexual function index (FSFI). Multivariate linear regression analysis was used to determine the predictors of sexual dysfunction in SPSS 13. Results: The mean±SD score of total FSFI was 28.14±3.82, ranging from 2 to 36. The frequency of sexual dysfunction was 34.3% in total. Multivariate linear regression analysis showed a significant correlation between FSFI and some factors including age, education level, age at menarche, frequency of sex, and knowledge on sexual function. These factors accounted for 12% of the variance in the sexual function index of women. Conclusions: Considering the critical impact of sexual function on the health of couples, paying attention to sexual function in women and its predictors are important to help and plan prevention programs. 
546 |a EN 
690 |a sexual dysfunction 
690 |a women 
690 |a predictor 
690 |a community health centers 
690 |a Medicine 
690 |a R 
690 |a Nursing 
690 |a RT1-120 
655 7 |a article  |2 local 
786 0 |n Journal of Research Development in Nursing and Midwifery, Vol 17, Iss 1, Pp 39-51 (2020) 
787 0 |n http://goums.ac.ir/jgbfnm/article-1-1194-en.html 
787 0 |n https://doaj.org/toc/2588-3038 
856 4 1 |u https://doaj.org/article/3d7b191d8195425c827dc4bf4db0e39b  |z Connect to this object online.