Acute and chronic effects of intermittent recovery hypoxia associated with small-sided games and sprint interval training on handball athletes

• Grant number: 22/16429-5
• Support Opportunities: Scholarships in Brazil - Master
• Effective date (Start): October 01, 2023
• Effective date (End): September 30, 2025
• Field of knowledge: Health Sciences - Physical Education
• Principal Investigator: Marcelo Papoti
• Grantee: Germano Marcolino Putti
• Host Institution: Escola de Educação Física e Esporte de Ribeirão Preto (EEFERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Considering the potential of hypoxia as an additional stimulus to training along with the need to investigate this association in team sports, by implementing small sided games (SSG) and sprint interval training (SIT), this project aims to compare the acute and chronic responses from intermittent recovery hypoxia (IRH) in SSG and SIT with the same situations performed under normoxic conditions in handball athletes. During the acute phase, we will investigate hematological, inflammatory, hormonal, autonomic and height of jump with counter movement responses from two training sessions with the IRH model in SSG (5 efforts lasting 3 min and recovery of 4 min) and SIT (5 efforts lasting 30s and recovery of 4 min). The chronic phase will last 8 weeks and will consist of training sessions involving SSG and SIT using IRH as an additional stimulus. Sixteen participants will be divided into IRH group (n=8) and normoxia group (n=8). Besides hematological, inflammatory, hormonal and autonomic responses, aerobic power (VO2Peak) and aerobic fitness (in incremental interval test), repeated sprints ability, maximal speed in 10, 20, 30 and 40m, anaerobic speed reserve, lower limbs power (vertical jump) and body composition will be evaluated. For statistical analysis, the two-way ANOVA for repeated measures [RMANOVA, time x group] will be used. For effect size, ɲ (<0.01 trivial; 0.01 small; 0.06 moderate; 0.14 large) will be used. Performance-related variables will also be analyzed by the smallest worthwhile change (SWC), which will be given by 0.2*sample standard deviation.