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Influence of the Force-Velocity Profile on the responsiveness to PAPE and PAP

Grant number: 22/03853-3
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): August 01, 2023
Effective date (End): August 31, 2024
Field of knowledge:Health Sciences - Physical Education
Principal Investigator:Leonardo Coelho Rabello de Lima
Grantee:Guilherme Beneduzzi Mantovani
Host Institution: Instituto de Biociências (IB). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil


It is known that there are two phenomena that can sharply increase performance in activities that require strength and power: post-activation potentiation (PAP) and post-activation performance potentiation (PAPE). Although both occur in distinct and very specific windows, which present great inter-individual variability, there is evidence to suggest that male, trained, potent individuals who have a higher concentration of type II fibers are more likely to benefit from these phenomena. However, there is not enough evidence to establish a specific pattern that helps to predict, in an assertive way, the magnitude of these phenomena and when they will occur. The force-velocity profile (FVP) can be an alternative to try to determine the responsiveness of individuals to the two phenomena, since it allows the evaluation of the intrinsic components of muscle power. The aim of the present study will be to investigate the compatibility between FVP and responsiveness to PAPE and PAP. Male subjects will be divided into three groups according to their FVP: velocity deficient, force deficient and balanced. The jump height with countermovement, peak vertical ground reaction force and power output of the participants will be determined in two conditions: PAPE control (standard warm-up performance) and PAPE (every 2 minutes after performing three squats with load of 87% of 1 RM). The peak twitch torque will also be determined in two conditions: PAP control (standard warm-up) and PAP (every 10s after performing three squats with a load of 87% of 1 RM). The different conditions will be performed on separate days and in random order. All participants will undergo familiarization sessions prior to data collection sessions. Differences between conditions and between groups will be compared using mixed design factorial ANOVA (group vs condition vs time) followed by Tukey's post hoc tests. The significance level will be established as p < 0.05.

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