Physiological Predictors of Peak Velocity in the VAM-EVAL Incremental Test and the Role of Kinematic Variables in Running Economy in Triathletes

This study examined the influence of physiological parameters on peak velocity (Vpeak) and of kinematic variables on running economy (RE) during an outdoor incremental VAM-EVAL test completed by eleven national-level triathletes. Maximal oxygen uptake (VO<sub>2</sub>max), ventilatory thresholds, RE, and minimum muscle oxygen saturation (SmO<sub>2</sub>min) were obtained with a portable gas analyzer and near-infrared spectroscopy (NIRS), while cadence, stride length, vertical oscillation, and contact time were recorded with a foot-mounted inertial sensor. Multiple linear regression showed that VO<sub>2</sub>max and SmO<sub>2</sub>min together accounted for 86% of the variance in Vpeak (VO<sub>2</sub>max: r = 0.76; SmO<sub>2</sub>min: r = -0.68), whereas RE at 16 km·h<sup>-1</sup> displayed only a moderate association (r = 0.54). Links between RE and kinematic metrics were negligible to weak (r ≤ 0.38). These findings confirm VO<sub>2</sub>max as the primary determinant of Vpeak and suggest that SmO<sub>2</sub>min can be used as a complementary, non-invasive marker of endurance capacity in triathletes, measurable in the field with portable NIRS. Additionally, inter-individual differences in cadence, stride length, vertical oscillation, and contact time suggest that kinematic adjustments are not universally effective but rather highly individualized, with their impact on RE likely depending on each athlete's specific characteristics.

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Journal
Sports
Published
2025-09-10
DOI
https://doi.org/10.3390/sports13090316
Primary Topic
Sports Performance and Training
Type
article
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article

Physiological Predictors of Peak Velocity in the VAM-EVAL Incremental Test and the Role of Kinematic Variables in Running Economy in Triathletes

Andri Feldmann, Diego Chaverri, Xavier Iglesias, Jordi Montraveta et al.
Sports
Sports Performance and Training
article

Physiological Predictors of Peak Velocity in the VAM-EVAL Incremental Test and the Role of Kinematic Variables in Running Economy in Triathletes

Andri Feldmann, Diego Chaverri, Xavier Iglesias, Jordi Montraveta, Ignacio Fernández-Jarillo
article en

Abstract

This study examined the influence of physiological parameters on peak velocity (Vpeak) and of kinematic variables on running economy (RE) during an outdoor incremental VAM-EVAL test completed by eleven national-level triathletes. Maximal oxygen uptake (VO<sub>2</sub>max), ventilatory thresholds, RE, and minimum muscle oxygen saturation (SmO<sub>2</sub>min) were obtained with a portable gas analyzer and near-infrared spectroscopy (NIRS), while cadence, stride length, vertical oscillation, and contact time were recorded with a foot-mounted inertial sensor. Multiple linear regression showed that VO<sub>2</sub>max and SmO<sub>2</sub>min together accounted for 86% of the variance in Vpeak (VO<sub>2</sub>max: r = 0.76; SmO<sub>2</sub>min: r = -0.68), whereas RE at 16 km·h<sup>-1</sup> displayed only a moderate association (r = 0.54). Links between RE and kinematic metrics were negligible to weak (r ≤ 0.38). These findings confirm VO<sub>2</sub>max as the primary determinant of Vpeak and suggest that SmO<sub>2</sub>min can be used as a complementary, non-invasive marker of endurance capacity in triathletes, measurable in the field with portable NIRS. Additionally, inter-individual differences in cadence, stride length, vertical oscillation, and contact time suggest that kinematic adjustments are not universally effective but rather highly individualized, with their impact on RE likely depending on each athlete's specific characteristics.

SportsVol. 13(9)
University of Bern (CH), Institut Nacional d'Educació Física de Catalunya (ES)
Openalex Percentile: Top 69%
Sports Performance and Training
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Physiological Predictors of Peak Velocity in the VAM-EVAL Incremental Test and the Role of Kinematic Variables in Running Economy in Triathletes — Andri Feldmann, Diego Chaverri, et al. · Sports (2025) | TGRS Research Map | TGRS