Volume 17, Issue 1 (4-2020)
J Res Dev Nurs Midw 2020, 17(1): 39-51 |
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Rezaie-Chamani S, Rahnavardi M, Sabetghadam S, Mahbubinejad S, Farshbaf-Khalili A, Rezaie N. Prevalence of Sexual Dysfunction in Healthy Women and its Predictors: A Cross-Sectional Study. J Res Dev Nurs Midw 2020; 17 (1) :39-51
URL: http://nmj.goums.ac.ir/article-1-1194-en.html
URL: http://nmj.goums.ac.ir/article-1-1194-en.html
Sedighe Rezaie-Chamani1 
, Mona Rahnavardi1 , Shadi Sabetghadam1 , Sahar Mahbubinejad1 , Azizeh Farshbaf-Khalili 2, Nazanin Rezaie3
, Mona Rahnavardi1 , Shadi Sabetghadam1 , Sahar Mahbubinejad1 , Azizeh Farshbaf-Khalili 2, Nazanin Rezaie3
1- School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran.
2- Physical Medicine and Rehabilitation Research Centre, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, IR Iran. ,farshbafa@tbzmed.ac.ir
3- School of Nursing and Midwifery, khoramabad, Iran.
2- Physical Medicine and Rehabilitation Research Centre, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, IR Iran. ,
3- School of Nursing and Midwifery, khoramabad, Iran.
Abstract: (4831 Views)
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.
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.
perspective: Original Article |
Subject:
Psychology and Psychiatry
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