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Effects of a Multicomponent Exercise Program on Functional Capacity, Neuromuscular Parameters, Quality of Life, and Disease-Related Symptoms in Older Adults Undergoing Cancer Treatment: A Randomized, Controlled Clinical Trial
Authors not listed
Federal University of Rio Grande do Sul · 2026
Abstract
This study aims to understand how a home-based exercise program can help improve strength, mobility, and quality of life in older adults receiving cancer treatment.
Participants will be randomly divided into two groups:
One group will follow a one-year multicomponent exercise program based on the ViviFrail model, done safely at home.
The other group will continue with usual care.
We will include men and women aged 60 or older treated at Hospital Conceição in Porto Alegre. Assessments will take place at the beginning and after 12, 24, and 48 weeks.
We will measure walking speed, balance, muscle strength, and ask about quality of life, symptoms, and daily activity.
The goal is to see whether home-based exercise can help older adults with cancer stay stronger, more independent, and feel better during treatment.
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- 2026-10-29 MST
Cite this
APA
Anonymous. (2026). Effects of a Multicomponent Exercise Program on Functional Capacity, Neuromuscular Parameters, Quality of Life, and Disease-Related Symptoms in Older Adults Undergoing Cancer Treatment: A Randomized, Controlled Clinical Trial. <em>Federal University of Rio Grande do Sul</em>. https://clinicaltrials.gov/study/NCT07565519
Vancouver
Anonymous. Effects of a Multicomponent Exercise Program on Functional Capacity, Neuromuscular Parameters, Quality of Life, and Disease-Related Symptoms in Older Adults Undergoing Cancer Treatment: A Randomized, Controlled Clinical Trial. Federal University of Rio Grande do Sul. 2026.
BibTeX
@misc{anon2026Effect,
title = {Effects of a Multicomponent Exercise Program on Functional Capacity, Neuromuscular Parameters, Quality of Life, and Disease-Related Symptoms in Older Adults Undergoing Cancer Treatment: A Randomized, Controlled Clinical Trial},
author = {Anonymous},
journal = {Federal University of Rio Grande do Sul},
year = {2026},
}
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