Body composition and cardiopulmonary exercise testing (CPET) are vital for optimizing sports performance, but the correlations between them are still underexplored. Our study aimed to investigate the relationships between body composition and specific CPET variables describing physical fitness in young athletes, also adjusting for age and height, in a less-studied, female population. Seventy players participated in our study (age: 16.10 ± 1.63 y). After determining body composition using dual-energy X-ray absorptiometry, we conducted treadmill-based maximal-intensity CPET. Data were analyzed in R using multivariate linear regression, accounting for age and height as confounders. Lean body mass (LBM), body fat mass (BFM), and bone mineral content (BMC) showed no effect on resting, maximum, or recovery heart rates and no correlation with resting or maximal lactate values. LBM positively correlated with maximum ventilation (VE-max) (Est: 1.3 × 10−3; SE: 6.1 × 10−4; p < 0.05) and maximum absolute oxygen consumption (VO2abs-max) (Est: 7.710−5; SE: 6.9 × 10−6; p < 0.001)—with age as an influencing factor for VE-max and height as an influencing factor for VO2abs-max. Conversely, BFM showed a negative correlation with maximum relative oxygen consumption (VO2rel-max) (Est: −4.8 × 10−4; SE: 1.2 × 10−4; p < 0.001). Moreover, BFM and BMC were also negatively correlated with maximal exercise duration (Est: −2.2 × 10−4; SE: 8.0 × 10−5; p < 0.01; Est: −3.2 × 10−3; SE: 1.4 × 10−3; p < 0.05) with height as an influencing factor. Our findings indicate complex correlations between body composition and CPET parameters, providing important information for the analysis of individual ergospirometric data. Our results draw attention to the fact that body composition is more precise than weight and height in the evaluation of athletes’ physical fitness.
Body composition, bone mineral density, and cardiopulmonary exercise testing (CPET) are commonly used to assess aerobic fitness in athletes, but their interrelationships remain unclear. This study compared these parameters by sex and examined their associations in elite athletes. Our study included 145 youth water polo players (age: 15.7 ± 1.6 years; male: 75). Body composition was measured by DEXA, and treadmill CPET was performed using a sport-specific protocol. We analysed the correlations between the following factors by multivariate linear regression: lean body mass (LBM, LBMindex); body fat mass (BFM); percent body fat (PBF); bone mineral content (BMC); lumbar, femoral, and radial bone mineral density (LBMD, FNBMD, FTBMD, RBMD); exercise time; absolute and relative maximal oxygen uptake (VO2absmax, VO2relmax); maximal ventilation (VEmax). Exercise time was found to be negatively correlated with BFM, while VO2relmax was found to be negatively correlated with BFM and PBF. VO2absmax was found to be positively correlated with BFM, LBM, BMC, FNBMD, and RBMD. VEmax was found to be positively correlated with LBM and LBMindex. In males, VO2absmax and VEmax were found to be positively correlated with LBMD and FTBMD. Correlations between bone density and CPET proved to be stronger in males. Our results indicate that body composition and bone density parameters influence CPET parameters, and their complex evaluation can support personalized diagnostics and athletes’ health.
Background: Despite numerous data on whole-body responses, we have less information about local muscular changes during physical exercise in athletes. Oxygen saturation (SmO2) changes in the working muscles follow phases of load and are useful, as local metabolism could influence physical fitness. Methods: A total of 100 asymptomatic elite water polo players (63% male, age: 17.2 (interquartile range: 16.1–18.9) years) were examined using near-infrared spectroscopy to measure SmO2 in both vastus lateralis and left deltoid muscles during continuous uphill running treadmill exercise. Results: Differences were observed between upper and averaged lower limb resting SmO2 (82.1% (77.0–89.0%) vs. 68.3% (59.2–73.6%), p < 0.001). During exercise, the relative decrease in averaged lower limb SmO2 was greater compared to the upper limb at the anaerobic threshold (−0.371 (−0.539–−0.200) vs. –0.224 (−0.340–−0.099), p < 0.001) and at maximal exercise (−0.557 (−0.750–−0.411) vs. –0.420 (−0.556–−0.271), p < 0.001). Higher averaged lower limb relative SmO2 was recorded compared to the upper limb after 5 min cool-down (+0.081% (−0.046–+0.195%) vs. –0.047% (−0.140–+0.000), p < 0.001). No differences were found between males and females in resting lower limb SmO2. Both sexes showed a monotonic decrease in SmO2 during exercise, with differences in the relative values at the anaerobic threshold and at maximal intensity. Females exhibited a rebound in SmO2 after a 5 min cool-down. Conclusions: We provide insights into SmO2 alterations during maximal-intensity exercise and recovery through the measurements of elite water polo athletes, also highlighting sex differences in SmO2. Measuring local SmO2 changes is a promising additional method in physical fitness follow-up.