Preprint Article Version 1 This version is not peer-reviewed

The Association of Whole and Segmental Body Composition and Anaerobic Performance in CrossFit® Athletes: Sex Differences

Version 1 : Received: 24 July 2024 / Approved: 25 July 2024 / Online: 25 July 2024 (12:07:57 CEST)

How to cite: Ponce-García, T.; García-Romero, J.; Carrasco-Fernández, L.; Castillo-Domínguez, A.; Benítez-Porres, J. The Association of Whole and Segmental Body Composition and Anaerobic Performance in CrossFit® Athletes: Sex Differences. Preprints 2024, 2024072029. https://doi.org/10.20944/preprints202407.2029.v1 Ponce-García, T.; García-Romero, J.; Carrasco-Fernández, L.; Castillo-Domínguez, A.; Benítez-Porres, J. The Association of Whole and Segmental Body Composition and Anaerobic Performance in CrossFit® Athletes: Sex Differences. Preprints 2024, 2024072029. https://doi.org/10.20944/preprints202407.2029.v1

Abstract

The purpose of this study was to establish the association between total and segmental body composition (BC) variables and anaerobic performance and to create optimal models that best predict such performance in CrossFit® (CF) athletes. Fifty athletes, 25 males and 25 females (age: 33.26 ± 6.81 years; body mass: 72.57 ± 12.17 kg; height: 169.55 ± 8.71 cm; BMI: 25.06 ± 2.31 kg·m−2) were recruited to participate and underwent BC analysis using dual-energy X-ray absorptiometry (DXA) and an all-out laboratory test on a cycle ergometer (Wingate) to determine their anaerobic performance. The results show a significant correlation between BC values and performance, ranging from moderate (r = -0.34, p = 0.015) to near-perfect (r = 0.96, p < 0.01). Furthermore, the created performance prediction models exhibited predictive capacities ranging from 19% (p = 0.017) to 93% (p < 0.001). All prediction models were created using total or segmental lean mass variables, excluding others. BC and performance variables found significant differences between males and females. The findings demonstrate that BC variables are crucial indicators of anaerobic performance in CF athletes. Professionals responsible for athlete performance should use this information to monitor athletes and design training programs.

Keywords

Sports performance; anaerobic performance; lean body mass; athletes; high-intensity functional training

Subject

Social Sciences, Tourism, Leisure, Sport and Hospitality

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