ClinicalTrials.gov
public full text
Public Domain
Heavy Strength Training in Head and Neck Cancer Survivors
exercisehead-and-neck-cancerhead-and-neck-neoplasmshead-and-neck-squamous-cell-carcinomaquality-of-liferandomized-controlled-trial
Despite improvements in treatments, head and neck cancer survivors (HNCS) still endure acute and chronic side effects such as loss of muscular strength, limitations in physical functioning, fatigue, and swallowing difficulties that impact quality of life (QoL) and limit return to work. Light-to-moderate intensity strength training (LMST) has been shown to improve some side effects. Heavy lifting strength training (HLST) may further improve outcomes in some populations, however, only one small pilot study has focused on HNCS. The LIFTING 2 trial will be the first to examine the feasibility and effects of a HLST program versus no exercise in HNCS.
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
- Effect of physical therapy modalities on quality of life of head and neck cancer survivors: A systematic review with meta-analysis#948547
- Evaluating Effectiveness of mHealth Interventions for Rehabilitation in Patients With Head and Neck Cancer: Systematic Review and Meta-Analysis of Randomized Controlled Trials.#148104
- Effectiveness of Geriatric Assessment-Driven Interventions on Survival and Functional and Nutritional Status in Older Patients with Head and Neck Cancer: A Randomized Controlled Trial (EGeSOR)#1158161
- Exercise After Radiation for Head & Neck Cancer#833645
- Head & Neck Cancer Survivorship: Physical and Functional Status#1094039
Record · ID 903773
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive