New regression models to predict fat mass in intermediate-level male padel players

Padel is a racquet team sport that has generated great interest in recent years, but the anthropometric and body composition characteristics of padel players have not widely been investigated. So, this study has a threefold aim: i) to draw two specific linear regression models to estimate fat mass from Dual X-ray Absorptiometry (DXA) to anthropometry or bioelectrical impedance analysis (BIA); ii) to provide a BIA-vector (BIVA) profile of intermediate level padel players; iii) to understand if anthropometric, body composition and handgrip strength differ among padel's roles.

Participants were 15 padel players (26.66 ± 11.84 years, 71.6 ± 12.51 kg, 173.13 ± 7.63 cm) who competed in the same championship. DXA, anthropometry, BIA and vector analysis were assessed. The stepwise procedure for the best general linear model was performed. The one-way ANOVA was used to compare right and left-side players. The Bland-Altman method, concordance correlation and Pearson's correlation coefficients, and statistical power achieved were computed.

The regression models achieved high goodness of fits in fat mass estimation (anthropometric adj. R = 0.984, BIA adj. R = 0.949) with four and two regressors, respectively. Padel players showed BIVA features close to teams' (D = 0.22) and power's (D = 0.37) sports. Also, no significant differences between left and right players were found in body composition and handgrip strength.

This study provided novel and useful information on players' body profiles for coaches and trainers. Also, our resulting equations provide easy-to-assess field methods in the accurate estimation of players' body composition characteristics.