Precisão das equações preditivas de 1RM em mulheres treinadas

Abstract

Strength training (RT) has established itself as one of the most popular training modalities, aiming to improve physical fitness and promote the conditioning of athletes and practitioners. However, for a RT program to achieve its objectives, it is essential that training loads are carefully determined. The traditional 1RM test is considered the gold standard for assessing maximum strength, but it is not always practical or feasible. With this in mind, predictive equations offer a convenient alternative, but it is essential to evaluate their accuracy in comparison with the actual results of the 1RM test. Therefore, the objective of this study was to investigate the accuracy of the main predictive equations, when compared to the 1RM test in trained women. The research was classified as quantitative. The sample consisted of twenty-four female individuals; aged 18 to 35 years, apparently healthy, with a mean age of 25.7 ± 4.0 years, weight 61.6 ± 5.0 kg and height 162.5 ± 4.0 cm. The variables investigated were 1RM (1 repetition maximum) and RM (maximum repetition) being measured by the following instruments: data collection regarding workloads will be performed in two moments: (a) load referring to the 1-RM test; and, (b) load referring to the submaximal test and its respective number of repetitions. The data were analyzed quantitatively using Excel software (Microsoft, 2016) analyzed using the computerized statistical package Statistical Package for the Social Sciences (SPSS) version 25.0 through the analysis of variance, it was found that there was no significant difference (p > .05) between the results of the equations and the 1RM test. The coefficients of determination (r) ranged from .988 to .996, showing a high degree of correlation between the equations used in the study and the 1RM test. The equations had a low standard error ranging from 5.54 to 5.85 kg. We can conclude, with this work, that the selected equations for predicting maximum load can be used to predict the 1RM for the Leg Press 450 with a high degree of accuracy in trained women.