PeerJ (Dec 2023)

Body fluids and muscle changes in trail runners of various distances

  • Álex Cebrián-Ponce,
  • Elisabetta Marini,
  • Silvia Stagi,
  • Jorge Castizo-Olier,
  • Marta Carrasco-Marginet,
  • Manuel Vicente Garnacho-Castaño,
  • Zeasseska Noriega,
  • Javier Espasa-Labrador,
  • Alfredo Irurtia

DOI
https://doi.org/10.7717/peerj.16563
Journal volume & issue
Vol. 11
p. e16563

Abstract

Read online Read online

Background This study aims to investigate body fluids and muscle changes evoked by different trail races using anthropometric, bioelectrical, and creatine kinase (CK) measurements. Methods A total of 92 subjects (55 men, 37 women) participating in three different races of 14, 35, and 52 km were evaluated before (PRE) and after (POST) the races. Classic bioelectrical impedance vector analysis was applied at the whole-body level (WB-BIVA). Additionally, muscle-localized bioelectrical assessments (ML-BIVA) were performed in a subgroup of 11 men (in the quadriceps, hamstrings, and calves). PRE-POST differences and correlations between bioelectrical values and CK, running time and race distance were tested. Results Changes in whole-body vectors and phase angles disclosed an inclination towards dehydration among men in the 14, 35, and 52 km groups (p < 0.001), as well as among women in the 35 and 52 km groups (p < 0.001). PRE Z/H was negatively correlated with running time in the 35 km men group and 14 km women group (r = −0.377, p = 0.048; r = −0.751, p = 0.001; respectively). POST Z/H was negatively correlated with running time in the 14 km women group (r = −0.593, p = 0.02). CK was positively correlated with distance in men and women (p < 0.001) and negatively correlated with reactance and vector length in the 14 km men group (p < 0.05). ML-BIVA echoed the same tendency as the WB-BIVA in the 35 and 52 km runners, with the most notable changes occurring in the calves (p < 0.001). Conclusions WB-BIVA and CK measurements underscored a conspicuous trend towards post-race dehydration and muscle damage, displaying a weak association with performance. Notably, ML-BIVA detected substantial alterations primarily in the calves. The study underscores the utility of BIVA as a technique to assess athlete’s body composition changes.

Keywords