Proposition end validation of regressive mathematical models to estimate maximum dynamic

João Augusto Reis de Moura, João Luiz Zinn


The purpose of this study was to propose and validate mathematical models to estimate the Maximum Dynamic Force (MDF) from predictive neuromuscular variables, and to verify if they are upheld by a statistic process of cross-validation, The sample consisted of 75 women, 18 to 30 years of age, and well acquainted with Resistance Weight Exercises (RWE). The sample was divided into two groups: group I (n=55) utilized in the statistical process for developing the proposed mathematical models, and group II (n=20) utilized for the process of validation of those models. independent variables were the neuromuscular Maximum Repetitions (MR) executed in the Frontal Pull (FP) and Knee Flexion (KF) exercises. The dependent variable was MDF measured on 10 RWE apparatus by means of the 1 MR test, according to the Moura et al. protocol (1997). Multiple Regression Analysis was used to produce proposed mathematical models, and cross-validation (Lohman, 1992), with signifi cance set at p<0.05, was used to verify their validity. Ten regressive mathematical modes were proposed based on the two predictive variables (MR), all of them highly signifi cant (p<0.0001). However, after the cross-validation process, only 4 mathematical models retained validity through the analysis of the adopted criteria. It was concluded that the predictive neuromuscular variables, in isolation, offered good predictive power for MDF, confi rming, therefore, 4 of the mathematical models.


Modelos matemáticos; Força; Validação; Mathematical models; Strength; Validation.


The abbreviated title of the journal is Rev. Bras. Cineantropom. Desempenho Hum, which should be used in bibliographies, footnotes and bibliographical references. E-ISSN 1980-0037, impressa ISSN 1415-8426, Florianópolis, Santa Catarina, Brazil. This work is licensed under a Creative Commons Attribution 4.0 International License.