Correlation between maximum voluntary contraction and endurance measured by digital palpation and manometry: An observational study.
Autor: | Fitz FF; PT, MSc, Department of Gynecology, Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil., Stüpp L; PT, PhD, Department of Gynecology, Unifesp, São Paulo, SP, Brazil., Costa TF; PT, Department of Gynecology, Unifesp, São Paulo, SP, Brazil., Sartori MG; MD, PhD, Department of Gynecology, Unifesp, São Paulo, SP, Brazil., Girão MJ; MD, PhD, Department of Gynecology, Unifesp, São Paulo, SP, Brazil., Castro RA; MD, PhD, Department of Gynecology, Unifesp, São Paulo, SP, Brazil. |
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Jazyk: | angličtina |
Zdroj: | Revista da Associacao Medica Brasileira (1992) [Rev Assoc Med Bras (1992)] 2016 Oct; Vol. 62 (7), pp. 635-640. |
DOI: | 10.1590/1806-9282.62.07.635 |
Abstrakt: | Introduction:: Digital palpation and manometry are methods that can provide information regarding maximum voluntary contraction (MVC) and endurance of the pelvic floor muscles (PFM), and a strong correlation between these variables can be expected. Objective:: To investigate the correlation between MVC and endurance, measured by digital palpation and manometry. Method:: Forty-two women, with mean age of 58.1 years (±10.2), and predominant symptoms of stress urinary incontinence (SUI), were included. Examination was firstly conducted by digital palpation and subsequently using a Peritron manometer. MVC was measured using a 0-5 score, based on the Oxford Grading Scale. Endurance was assessed based on the PERFECT scheme. Results:: We found a significant positive correlation between the MVC measured by digital palpation and the peak manometric pressure (r=0.579, p<0.001), and between the measurements of the endurance by Peritron manometer and the PERFECT assessment scheme (r=0.559, P<0.001). Conclusion:: Our results revealed a positive and significant correlation between the capacity and maintenance of PFM contraction using digital and manometer evaluations in women with predominant symptoms of SUI. |
Databáze: | MEDLINE |
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