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

Optimal Timing for Resistance Exercise in Hemodialysis

Muş Alparslan University · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
hemodialysisnaphysical-performancequality-of-life
The study consists of two groups doing resistance exercise for the first and last two hours of the HD session. The investigators are planning to form the sample size of exercise training from 40 participants, which the investigators determined according to the power analysis the investigators have done based on the blood pressure outcome criterion. Participants who meet the inclusion criteria the investigators have set will be divided into two groups. A resistance exercise training will be given three days a week for eight weeks, with a total of 24 sessions. The number of IRCAs occurring in both groups and blood pressure values to be measured at the beginning and end of the HD session will be checked, and both parameters will be compared between the groups before and after the treatment after 8 weeks of training. Thus, the investigators aim to show how the time factor has an effect on blood pressure. In addition, muscle strength, physical performance and quality of life of participants before and after resistance exercise will be evaluated and compared between groups. The participants' blood pressure will be evaluated with a conventional cuffed sphygmomanometer, muscle strength, digital hand dynamometer, physical performance, Short Physical Performance Battery and Timed Up and Go Test, and their quality of life will be evaluated with the Kidney Disease Quality of Life-36 (KDQOL-36) quality of life questionnaire. In exercise training, sandbags will be used as resistance. In our study, which the investigators planned as a randomized controlled trial, stratified randomization method will be used to distribute the gender factor homogeneously in both groups.
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 916717
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