Related Experiment Video
Updated: Feb 13, 2026

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
Published on: March 8, 2024
A randomized controlled trial of manual therapy and pneumatic compression for recovery from prolonged running - an
Amanda M Heapy1, Martin D Hoffman2,3,4, Heidie H Verhagen5
1a Department of Health and Sport , Toi Ohomai Institute of Technology , Rotorua , New Zealand.
Abstract:
Manual therapy (MT) and intermittent pneumatic compression (IPC) are recovery methods used by endurance athletes with little evidence supporting effectiveness. This randomized controlled trial evaluated effectiveness of four daily post-race treatments of a specific MT protocol and IPC compared with supine rest on recovery following an ultramarathon among 56 ultramarathoners. Groups were comparable across all characteristics examined, including post-race plasma creatine kinase concentration. Subject completed timed 400 m runs before the race and on days three, five, seven and 14 post- race, and also provided muscle pain and soreness ratings and fatigue scores immediately before and after treatments, and during the 14 days post- race. Daily subjective measures and 400 m run times were not improved by either treatment, but both treatments reduced (p < .05) muscular fatigue scores acutely after treatment following the race and on post-race day 1, and MT improved (p < .05) muscle pain and soreness acutely following the race.
More Related Videos
Related Concept Videos
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
Wald-Wolfowitz Runs Test II
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Wald-Wolfowitz Runs Test I
The test works...
Trial and Error and Algorithm
Clinical Trials: Overview

