Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Pelvic Floor Dysfunction and Aerobic Training in Gynecological Cancer

Atılım University · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
aerobic-exercisegynecologic-cancernaphysiotherapy
The incidence of gynecological cancer and the related death rates in the world are increasing every year. Unfortunately, pelvic floor disorders (PFDs) such as pelvic pain, dyspareunia, vaginal stenosis, and urinary incontinence can result from specific cancer treatments. Our aim in our study is to examine the effects of aerobic exercise training in addition to pelvic floor muscle training on pelvic floor dysfunction symptoms, pelvic floor muscle strength and endurance, quality of life, functional capacity and fatigue in women surviving gynecological cancer with pelvic floor dysfunction. Patients diagnosed with gynecological cancer and undergoing treatment will be invited to our research. Patients who meet the inclusion criteria and agree to participate will be divided into two groups as Pelvic Floor Muscle Training (PFMT) and PFMT+Aerobic Exercise by block randomization method. For evaluation,We will use the Pelvic Floor Distress Inventory (PTDE-20), Pelvic Floor Impact Scale with digital palpation, EORTC QLQ-C30, 6 Minute Walk Test and Piper Fatigue Scale.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 873124
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive