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

High-intensity Interval Training for Cardiometabolic Health in Persons With Spinal Cord Injury

University of Bath · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
Open Source ↗
na
Persons with chronic paraplegia at an increased risk of developing cardiovascular disease and type-2 diabetes compared to the able-bodied population. There is mounting evidence from the able-bodied literature that high-intensity interval training (HIIT) is an effective way to improve cardiometabolic health outcomes, but this effect has yet to be investigated in persons with chronic paraplegia. This study is recruiting adults (aged 18-65 years) with paraplegia (T2 or below) who sustained their spinal cord injury more than one-year ago. Participants will need to attend the laboratory at the University of Bath on two occasions (baseline and follow-up testing) separated by eight weeks. Following the first visit, participants will be randomised to a exercise group or control group. For those in the exercise group, participants will be provided with an arm crank ergometer for use in their home, and be asked to perform four exercise sessions per week (30 min each) for six weeks. For those in the control group, participants will be asked to continue their normal lifestyle.
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 1033526
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