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

Effects of Virtual Reality-Based Balance Training Compared to Conventional Balance Training to Reduce Risk of Fall in Patients With Diabetic Peripheral Neuropathy: A Randomized Control Trial

Foundation University Islamabad · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
balancediabetic-peripheral-neuropathyhyperglycemiametabolic-diseaseneuropathic-pain
The objective of this study is to determine the effects of virtual reality based balance training compared to conventional balance training to reduce risk of fall in patients with diabetic peripheral neuropathy in terms of fall and gait parameters. The study is a non-blinded randomized control trial, consisting of 2 groups. The Study will be conducted at Fauji Foundation Hospital and Foundation University Islamabad. A calculated sample of 30 subjects will be selected via non-probability convenience sampling technique followed by randomization into two groups using envelope method. After CBRC registration, ethical approval is obtained from ERC FUMC. Individuals fulfilling the inclusion criteria is selected, followed by written informed consent after explaining the study purpose. Participants is then be randomly allocated to one of the 2 groups. At the baseline, Fall Efficacy Scale (FES), Activity-specific Balance Confidence (ABC), Time Up and Go Test and Dynamic Gait Index (DGI) are assessed. Control group is provided with conventional balance training. Treatment group is provided with the Virtual Reality (Wii Fit) Based Balance Training. Exercise training is performed thrice a week on alternate days for a total duration of 18 sessions over 06 week. All outcome measurements would be performed before and then after the 6-weeks intervention period. Data will be entered and analyzed on SPSS v. 22.
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 906892
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