ClinicalTrials.gov
public full text
Public Domain
Effect of Inspiratory Muscle Training on Symptom Severity and Quality of Life in Non-Erosive Reflux Disease
The goal of this clinical trial is to learn if inspiratory muscle training (IMT) works to treat on clinical symptom severity and quality of life in patients with Non-erosive reflux disease (NERD). The main questions it aims to answer are: Does drug IMT lower the clinical symptom severity ? Does drug IMT improve quality of life? Researchers will compare high intensity IMT to a sham-IMT (a IMT device with no resistance) to see if IMT lower the clinical symptom severity and improve improve quality of life. Participants will perform the following protocol: The IMT protocol will consist of home-based high-intensity training using a Threshold IMT device: two sets of 30 breaths with a 1-minute rest, twice daily for 4 weeks. The study group will train at 60% of baseline maximum inspiratory pressure (MIP), with weekly adjustments based on modified Borg scores (4-6), while the control group will perform sham IMT without resistance.
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
- High- and Moderate-Intensity Inspiratory Muscle Training on Diaphragm Ultrasound Parameters, Cognition, and Mental Health#1007206
- Standardization of IMT Dosage (UTIT) in Mechanical Ventilation.#1262353
- The Inspiratory Muscle Training Improves the Severity of Obstructive Sleep Apnea and Sleep Quality?#1074936
- Manual Therapy and Inspiratory Muscle Training in Neuromuscular Disease#909583
- Respiratory Muscle Training in the ICU: IMT vs Diaphragmatic NMES#1141014
Record · ID 1246558
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