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Revista Brasileira de Ginecologia e Obstetrícia. 2023;45(9):542-548
, , , , , , To assess the relationship involving sexual function (SF), the distress symptoms caused by pelvic floor dysfunction (PFD), and female genital self-image (GSI).
We assessed the GSI, SF and PFD distress symptoms by the Female Genital Self-Image Scale (FGSIS), the Female Sexual Function Index (FSFI), and the Pelvic Floor Distress Inventory (PFDI-20) respectively. Data were analyzed by multiple linear regression.
Among the 216 women (age: 50.92 ± 16.31 years) who participated in the study, 114 were sexually active in the previous 4 weeks. In the total sample (p < 0.001; adjusted R2 = 0.097) and among sexually active women (p = 0.010; adjusted R2 = 0.162), the distress symptoms caused by pelvic organ prolapse (POP) were related to the GSI. Among sexually active women, sexual desire also was related to the GSI (p < 0.001; adjusted R2 = 0.126).
The findings of the present study provide additional knowledge about female GSI and suggest that SF and POP distress symptoms should be investigated together with the GSI in the clinical practice.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2023;45(9):542-548
, , , , , , To assess the relationship involving sexual function (SF), the distress symptoms caused by pelvic floor dysfunction (PFD), and female genital self-image (GSI).
We assessed the GSI, SF and PFD distress symptoms by the Female Genital Self-Image Scale (FGSIS), the Female Sexual Function Index (FSFI), and the Pelvic Floor Distress Inventory (PFDI-20) respectively. Data were analyzed by multiple linear regression.
Among the 216 women (age: 50.92 ± 16.31 years) who participated in the study, 114 were sexually active in the previous 4 weeks. In the total sample (p < 0.001; adjusted R2 = 0.097) and among sexually active women (p = 0.010; adjusted R2 = 0.162), the distress symptoms caused by pelvic organ prolapse (POP) were related to the GSI. Among sexually active women, sexual desire also was related to the GSI (p < 0.001; adjusted R2 = 0.126).
The findings of the present study provide additional knowledge about female GSI and suggest that SF and POP distress symptoms should be investigated together with the GSI in the clinical practice.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(8):399-404
To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women.
A total of 152 women were analyzed. The instruments used were the International Physical Activity Questionnaire (IPAQ [Area 4]) to check the level of physical activity, and the Diagnostic Form to obtain sociodemographic data and presence of urinary incontinence. To calculate the conicity index, waist to height ratio and fat percentage, body mass, height and waist circumference were measured. Descriptive and inferential statistics were used. Cutoff points, sensitivity (S) and specificity (SP) were determined by receiver operating characteristic (ROC) curves. A 5% significance level was adopted.
The prevalence of urinary incontinence was of 32.2%. The cutoff point with better sensitivity and specificity for the conicity index was 1.23 (S =87.8; SP =35.9); for the waist to height ratio, it was 0.57 (S =79.6; SP =45.6); and for the fat percentage, it was 39.71 (S =89.8; SP =42.7). The area under the ROC curve was 0.666 for the conicity index, 0.653 for the waist to height ratio, and 0.660 for the fat percentage.
The cutoff points for the anthropometric measurements conicity index, waist to height ratio and fat percentage indicate that these measures can be used to predict urinary incontinence in physically active older women. Furthermore, fat percentage seemed to be the best measure for this population.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2016;38(8):399-404
To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women.
A total of 152 women were analyzed. The instruments used were the International Physical Activity Questionnaire (IPAQ [Area 4]) to check the level of physical activity, and the Diagnostic Form to obtain sociodemographic data and presence of urinary incontinence. To calculate the conicity index, waist to height ratio and fat percentage, body mass, height and waist circumference were measured. Descriptive and inferential statistics were used. Cutoff points, sensitivity (S) and specificity (SP) were determined by receiver operating characteristic (ROC) curves. A 5% significance level was adopted.
The prevalence of urinary incontinence was of 32.2%. The cutoff point with better sensitivity and specificity for the conicity index was 1.23 (S =87.8; SP =35.9); for the waist to height ratio, it was 0.57 (S =79.6; SP =45.6); and for the fat percentage, it was 39.71 (S =89.8; SP =42.7). The area under the ROC curve was 0.666 for the conicity index, 0.653 for the waist to height ratio, and 0.660 for the fat percentage.
The cutoff points for the anthropometric measurements conicity index, waist to height ratio and fat percentage indicate that these measures can be used to predict urinary incontinence in physically active older women. Furthermore, fat percentage seemed to be the best measure for this population.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2015;37(2):82-86
DOI 10.1590/SO100-720320140005040
To analyze the risk factors for urinary incontinence (UI) in older women practicing physical exercises (PE).
A total of 152 older women with a mean age of 68.6±5.8 years who regularly practiced PE participated in the study. The presence of UI and gynecological, obstetric, clinical, behavioral, hereditary and anthropometric risk factors was determined identified. It was also applied the Domain 4 of the International Physical Activity Questionnaire (IPAQ) to determine the level of physical activity and body mass index and waist circumference were measured. Data were analyzed using descriptive and inferential statistics, with the level of significance set at 5%.
The prevalence of UI in the sample was 32.2%. Among the factors evaluated, only the use of diuretics (OR=2.7; 95%CI 1.0-7.0) and a positive family history of urinary incontinence (OR=2.3; 95%CI 1.1-4.8) were associated with UI symptoms.
The use of diuretics is considered to be a modifiable risk factor for UI, whereas a family history is not considered to be a modifiable risk factor.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2015;37(2):82-86
DOI 10.1590/SO100-720320140005040
To analyze the risk factors for urinary incontinence (UI) in older women practicing physical exercises (PE).
A total of 152 older women with a mean age of 68.6±5.8 years who regularly practiced PE participated in the study. The presence of UI and gynecological, obstetric, clinical, behavioral, hereditary and anthropometric risk factors was determined identified. It was also applied the Domain 4 of the International Physical Activity Questionnaire (IPAQ) to determine the level of physical activity and body mass index and waist circumference were measured. Data were analyzed using descriptive and inferential statistics, with the level of significance set at 5%.
The prevalence of UI in the sample was 32.2%. Among the factors evaluated, only the use of diuretics (OR=2.7; 95%CI 1.0-7.0) and a positive family history of urinary incontinence (OR=2.3; 95%CI 1.1-4.8) were associated with UI symptoms.
The use of diuretics is considered to be a modifiable risk factor for UI, whereas a family history is not considered to be a modifiable risk factor.