Effect of cryotherapy as a method of post-workout recovery from different temperatures and times of application on the perception recovery and pain

• Grant number: 12/13282-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2012
• End date: November 30, 2013
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Carlos Marcelo Pastre
• Grantee: Bruno César Rotoly
• Host Institution: Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil

Abstract

Cryotherapy is a technique widely used as a strategy for recovery after training and competition, though its effects over time of application and temperature seem controversial regarding its applicability. Objective: To analyze and compare the effects of cryotherapy during recovery after strenuous exercise, using different times and temperatures on muscle pain and perception of recovery. Materials and Methods: The study sample will consist of 50 males who were randomly divided into five groups, one control and four recovery (GC, G1, G2, G3, and G4). Volunteers will be submitted to an exhaustion protocol consisting of jumps in a program (10 sets of 10 jumps a minute of rest between sets) and the Wingate test. Immediately after the exhaustion protocol, the volunteers will be directed to a tank with water and ice, which will be immersed up to the height of the anterior superior iliac spine to the recovery procedure (G1: 5' 9 ± 1°C; G2: 5 'at 14 ± 1°C; G3: 15' to 9 ± 1ºC; G4: 15' to 14 ± 1°C). The variables investigated will be collected prior to the exercise, 24, 48, 72, and 96 hours after the exercise. To analyze the results relative to comparison groups, time and temperature of exposure to cryotherapy and moments of analysis will be used the technique of analysis of variance for repeated measures model in the two-factor, followed by the test of Student-Newman-Keuls (SNK) for parametric data and Dunn for nonparametric data, considering the level of 5% in the comparisons.(AU)