Assessing exercises recommended for women at risk of pelvic floor disorders using multivariate statistical techniques
| Autor: | James W. Stinear, Jennifer Kruger, Jacqueline Smalldridge, Tania Tian, Lynsey Hayward, Stephanie Budgett |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Adult
medicine.medical_specialty Multivariate analysis Valsalva Maneuver Cross-sectional study Urology medicine.medical_treatment Pelvic Floor Disorders Body Mass Index 03 medical and health sciences 0302 clinical medicine Pregnancy Risk Factors Bayesian multivariate linear regression Pressure medicine Valsalva maneuver Humans 030212 general & internal medicine Exercise 030219 obstetrics & reproductive medicine Pelvic floor business.industry Obstetrics and Gynecology Pelvic Floor Middle Aged Exercise Therapy Surgery body regions Parity Cross-Sectional Studies medicine.anatomical_structure Cough Multivariate Analysis Linear Models Physical therapy Female business Body mass index Cohort study |
| Zdroj: | International Urogynecology Journal. 29:1447-1454 |
| ISSN: | 1433-3023 0937-3462 |
| Popis: | There is a widely held, but untested, belief that certain exercises and activities generate intraabdominal pressure (IAP) that may compromise the function of the pelvic floor muscles. Women with, or at risk of, pelvic floor disorders are advised therefore to refrain from these exercises and activities in order to theoretically protect their pelvic floor. The aim of this study was to compare IAPs generated during exercises of different types that are recommended to women as pelvic floor “safe” with those generated during the corresponding conventional exercises that women are typically cautioned against. This was a cross-sectional cohort study. All participants were guided by a trained exercise practitioner through a series of ten exercise pairs, one version recommended to women as pelvic floor “safe” and one conventional version which women are cautioned against. IAP components were extracted from the pressure traces from a wireless intravaginal pressure sensor and used in multivariate linear regression modelling, canonical discriminant analysis, and linear mixed modelling. A total of 53 participants were recruited. After adjusting for age, body mass index and parity, there was an exercise type–version effect (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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