The relationship between muscle strength and power in throw velocity.

• Grant number: 24/05326-6
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2024
• Status: Discontinued
• Field of knowledge: Health Sciences - Physical Education
• Principal Investigator: Enrico Fuini Puggina
• Grantee: Maraysa Spagnollo da Silva
• Host Institution: Escola de Educação Física e Esporte de Ribeirão Preto (EEFERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated scholarship(s): 24/17794-4 - Identification of Performance Profiles in Handball Throws: A Multifactorial Analysis of Physical and Anthropometric Capabilities, BE.EP.IC

Abstract

Understanding the relationship between physical capacities and performance in team sports is crucial for continuously improving athletic performance. In this sense, the ability to perform a powerful throw is indispensable for handball players. Thus, power is involved in a large part of the technical gestures performed by athletes, especially in handball players. Therefore, the present study aims to evaluate the relationship between muscle strength and power tests with supported throws and strides in handball. Twelve handball athletes will be used in the study. The athletes will undergo the following physical tests: one-repetition maximum on the flat bench press, power test on the flat bench press using a linear potentiometer at three intensities (30%-1RM, 60%-1RM, and 90%-1RM), seated medicine ball throw, and Ballistic Power Push-up. Participants will also perform specific handball strength tests, supported throw from a fixed position at the 7-meter line, and a throw with three strides and a jump shot from the 9-meter line. Data will be presented with mean and standard deviation if they are normally distributed, or with median and interquartile range if they are not normally distributed. The Shapiro-Wilk test will assess the normality of the data. Pearson's correlation test will be used to identify the relationship between physical tests and specific handball tests if the data are normally distributed, or Spearman's correlation test if the tests are not normally distributed. The correlation values will be interpreted as trivial (r < 0.1), low (r = 0.1 - 0.29), moderate (r = 0.3 - 0.49), strong (0.5 - 0.69), very strong (0.7 - 0.89), and almost perfect (0.9 - 0.99). Multiple linear regression analysis will be used to identify the best predictors of handball throw performance.