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Revista Brasileira de Ginecologia e Obstetrícia. 2023;45(6):303-311
, , , , , The lack of data on the impact of hyperglycemia and obesity on the prevalence of pregnancy-specific urinary incontinence (PSUI) led us to conduct a cross-sectional study on the prevalence and characteristics of PSUI using validated questionnaires and clinical data.
This cross-sectional study included 539 women with a gestational age of 34 weeks who visited a tertiary university hospital between 2015 and 2018. The main outcome measures were the prevalence of PSUI, the International Consultation on Incontinence Questionnaire Short Form (ICIQ-SF), and the Incontinence Severity Index (ISI) questionnaires. The women were classified into four groups: normoglycemic lean, normoglycemic obese, hyperglycemic lean, and hyperglycemic obese. The differences between groups were tested using descriptive statistics. Associations were estimated using logistic regression analysis and presented as unadjusted and adjusted odds ratios.
Prevalence rates of PSUI were no different between groups. However, significant difference in hyperglycemic groups worse scores for severe and very severe PSUI. When adjusted data for confound factors was compared with normoglycemic lean group, the hyperglycemic obese group had significantly higher odds for severe and very severe forms of UI using ICIQ-SF (aOR 3.157; 95% CI 1.308 to 7.263) and ISI (aOR 20.324; 95% CI 2.265 to 182.329) questionnaires and highest perceived impact of PSUI (aOR 4.449; 95% CI 1.591 to 12.442).
Our data indicate that obesity and hyperglycemia during pregnancy significantly increase the odds of severe forms and perceived impact of PSUI. Therefore, further effective preventive and curative treatments are greatly needed.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2023;45(6):303-311
, , , , , The lack of data on the impact of hyperglycemia and obesity on the prevalence of pregnancy-specific urinary incontinence (PSUI) led us to conduct a cross-sectional study on the prevalence and characteristics of PSUI using validated questionnaires and clinical data.
This cross-sectional study included 539 women with a gestational age of 34 weeks who visited a tertiary university hospital between 2015 and 2018. The main outcome measures were the prevalence of PSUI, the International Consultation on Incontinence Questionnaire Short Form (ICIQ-SF), and the Incontinence Severity Index (ISI) questionnaires. The women were classified into four groups: normoglycemic lean, normoglycemic obese, hyperglycemic lean, and hyperglycemic obese. The differences between groups were tested using descriptive statistics. Associations were estimated using logistic regression analysis and presented as unadjusted and adjusted odds ratios.
Prevalence rates of PSUI were no different between groups. However, significant difference in hyperglycemic groups worse scores for severe and very severe PSUI. When adjusted data for confound factors was compared with normoglycemic lean group, the hyperglycemic obese group had significantly higher odds for severe and very severe forms of UI using ICIQ-SF (aOR 3.157; 95% CI 1.308 to 7.263) and ISI (aOR 20.324; 95% CI 2.265 to 182.329) questionnaires and highest perceived impact of PSUI (aOR 4.449; 95% CI 1.591 to 12.442).
Our data indicate that obesity and hyperglycemia during pregnancy significantly increase the odds of severe forms and perceived impact of PSUI. Therefore, further effective preventive and curative treatments are greatly needed.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2018;40(6):322-331
To establish the Pregnancy Sexual Response Inventory (PSRI) scores for each domain before and during pregnancy, and to publish the Brazilian Portuguese version of the PSRI.
Pregnant women were recruited during antenatal care; the PSRI was administered to 244 women prenatally at Faculdade de Medicina de Botucatu, at Universidade do Estado de São Paulo (UNESP, in the Portuguese acronym). The PSRI scores were estimated based on the Kings Health Questionnaire (KHQ) and the Medical Outcomes Study 36-item short form survey (SF-36). The raw scale type was used to standardize the minimal value and amplitude of each domain. For each domain, the score varied from 0 to 100, and the composite score was obtained as the domain average. The composite score before and during pregnancy was determined by the sum of the scores of all specific domains for each divided by the full domain number. The categorization of the scale into quartiles was established when all PSRI-specific and composite scores were combined.
The composite and specific scores for each domain were categorized into quartiles: 0 < 25 as “very bad;” 25 < 50 as “bad;” 50 < 75 as “good” and 75 to 100 as “excellent.” The mean scores were lower during pregnancy than before pregnancy in 8 of the 10 domains. The Brazilian Portuguese PSRI version is presented.
This study allowed the establishment of the PSRI composite and specific scores for each domain, and the categorization of scores into quartiles: very bad, bad, good and excellent. In addition, the Brazilian Portuguese version of the PSRI is presented in full for application in the Brazilian population.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2018;40(6):322-331
To establish the Pregnancy Sexual Response Inventory (PSRI) scores for each domain before and during pregnancy, and to publish the Brazilian Portuguese version of the PSRI.
Pregnant women were recruited during antenatal care; the PSRI was administered to 244 women prenatally at Faculdade de Medicina de Botucatu, at Universidade do Estado de São Paulo (UNESP, in the Portuguese acronym). The PSRI scores were estimated based on the Kings Health Questionnaire (KHQ) and the Medical Outcomes Study 36-item short form survey (SF-36). The raw scale type was used to standardize the minimal value and amplitude of each domain. For each domain, the score varied from 0 to 100, and the composite score was obtained as the domain average. The composite score before and during pregnancy was determined by the sum of the scores of all specific domains for each divided by the full domain number. The categorization of the scale into quartiles was established when all PSRI-specific and composite scores were combined.
The composite and specific scores for each domain were categorized into quartiles: 0 < 25 as “very bad;” 25 < 50 as “bad;” 50 < 75 as “good” and 75 to 100 as “excellent.” The mean scores were lower during pregnancy than before pregnancy in 8 of the 10 domains. The Brazilian Portuguese PSRI version is presented.
This study allowed the establishment of the PSRI composite and specific scores for each domain, and the categorization of scores into quartiles: very bad, bad, good and excellent. In addition, the Brazilian Portuguese version of the PSRI is presented in full for application in the Brazilian population.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(4):192-192
DOI 10.1590/S0100-72032013000400010
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2013;35(4):192-192
DOI 10.1590/S0100-72032013000400010