Background <p>Running economy is influenced by both anthropometric and biomechanical factors. Among these, body mass (BM) has a particularly significant impact on the energy cost of running.</p> Purpose <p>This study investigated how BM affects the correlation between RE and lower limb kinematic variables, including segmental movement coordination during submaximal running.</p> Methods <p>Twenty recreationally active (male and female; 26.5 ± 5.8&#xa0;years; 64.0 ± 10.9&#xa0;kg) participated. Running economy was assessed by measuring oxygen uptake (VO<sub>2</sub>) during a submaximal treadmill running. Kinematic data, including continuous relative phase for thigh-leg and leg-foot couplings, were collected via video analysis. VO<sub>2</sub> was subsequently adjusted for BM using the ratio standard (VO2.BM<sup>−1</sup>) and the allometric method (VO2.BM<sup>−0.75</sup>).</p> Results <p>Moderate to large correlation (<i>r</i> = 0.429–0.909; <i>p</i> ≤ 0.05) were observed between VO<sub>2</sub> and VO<sub>2</sub>.BM<sup>−1</sup> with contact time, flight time, step frequency, step length, and maximal ground reaction force. When VO<sub>2</sub>.BM<sup>−0.75</sup> was considered, no significant correlation was found with these variables. A moderate correlation (<i>r</i> = 0.493; <i>p</i> ≤ 0.05) was observed between VO2.BM<sup>−0.75</sup> and the continuous relative phase of thigh-leg coupling.</p> Conclusion <p>Adjusting VO₂ for BM using the allometric method alters its relationship with biomechanical variables, emphasizing the need for appropriate scaling to avoid misleading interpretations in correlation analyses. In addition, the findings suggest that improved intersegmental coordination of the thigh–leg coupling may contribute to a lower energy cost during running.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

How body mass affects the relationship between biomechanical variables and running economy

  • Jonathan Ache-Dias,
  • Juliano Dal Pupo,
  • Rafael Lima Kons

摘要

Background

Running economy is influenced by both anthropometric and biomechanical factors. Among these, body mass (BM) has a particularly significant impact on the energy cost of running.

Purpose

This study investigated how BM affects the correlation between RE and lower limb kinematic variables, including segmental movement coordination during submaximal running.

Methods

Twenty recreationally active (male and female; 26.5 ± 5.8 years; 64.0 ± 10.9 kg) participated. Running economy was assessed by measuring oxygen uptake (VO2) during a submaximal treadmill running. Kinematic data, including continuous relative phase for thigh-leg and leg-foot couplings, were collected via video analysis. VO2 was subsequently adjusted for BM using the ratio standard (VO2.BM−1) and the allometric method (VO2.BM−0.75).

Results

Moderate to large correlation (r = 0.429–0.909; p ≤ 0.05) were observed between VO2 and VO2.BM−1 with contact time, flight time, step frequency, step length, and maximal ground reaction force. When VO2.BM−0.75 was considered, no significant correlation was found with these variables. A moderate correlation (r = 0.493; p ≤ 0.05) was observed between VO2.BM−0.75 and the continuous relative phase of thigh-leg coupling.

Conclusion

Adjusting VO₂ for BM using the allometric method alters its relationship with biomechanical variables, emphasizing the need for appropriate scaling to avoid misleading interpretations in correlation analyses. In addition, the findings suggest that improved intersegmental coordination of the thigh–leg coupling may contribute to a lower energy cost during running.