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Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(11):559-563
To identify pregnancy as a causative factor of sexual dysfunction among expectant women.
A prospective study with 225 expectant mothers seen in the prenatal clinic of a federal university. Sexual function was evaluated by means of the Female Sexual Function Index (FSFI), and all domains were analyzed (desire, arousal, lubrication, orgasm, satisfaction, and pain). Initially, a univariate analysis of the sample was done. The averages for each domain according to the risk of sexual dysfunction (FSFI ≤ 26.5) were compared using the Student’s t-test for independent samples. The strength of the correlation between sexual dysfunction and all sociodemographic, clinical and behavioral variables was measured by the Chi-Square (X2) test. Then, odds ratios (ORs) and their confidence intervals were assigned to perform a bivariate analysis. Any p values less than 0.05 were considered significant.
Approximately two-thirds of the women (66.7%) showed signs of risk of sexual dysfunction (FSFI ≤ 26.5). Within these cases, all sexual dysfunction domains (desire, arousal, lubrication, orgasm, satisfaction, and pain) were found to be statistically significant (p < 0.001). The domains most affected were desire (2.67), satisfaction (2.71) and arousal (2.78).
Pregnancy appears to be an important causative factor of sexual dysfunction among pregnant women.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(11):559-563
To identify pregnancy as a causative factor of sexual dysfunction among expectant women.
A prospective study with 225 expectant mothers seen in the prenatal clinic of a federal university. Sexual function was evaluated by means of the Female Sexual Function Index (FSFI), and all domains were analyzed (desire, arousal, lubrication, orgasm, satisfaction, and pain). Initially, a univariate analysis of the sample was done. The averages for each domain according to the risk of sexual dysfunction (FSFI ≤ 26.5) were compared using the Student’s t-test for independent samples. The strength of the correlation between sexual dysfunction and all sociodemographic, clinical and behavioral variables was measured by the Chi-Square (X2) test. Then, odds ratios (ORs) and their confidence intervals were assigned to perform a bivariate analysis. Any p values less than 0.05 were considered significant.
Approximately two-thirds of the women (66.7%) showed signs of risk of sexual dysfunction (FSFI ≤ 26.5). Within these cases, all sexual dysfunction domains (desire, arousal, lubrication, orgasm, satisfaction, and pain) were found to be statistically significant (p < 0.001). The domains most affected were desire (2.67), satisfaction (2.71) and arousal (2.78).
Pregnancy appears to be an important causative factor of sexual dysfunction among pregnant women.