Exercise & Training

Does preferred technique influence how kinematics change during a run to exhaustion?-A cluster based approach.

TL;DR

Fatigue-induced running technique adaptations were similar across runners with different preferred styles, but persistent baseline differences between 'neutral pelvis' and 'tilted pelvis' clusters suggest these adaptations may have distinct mechanical or performance consequences.

Key Findings

Two technique-based clusters of runners were identified, with the tilted pelvis cluster consistently showing greater trunk-to-pelvis extension, more pelvic anterior tilt, greater hip flexion, and a smaller duty factor compared to the neutral pelvis cluster throughout the run.

  • Sixty runners were studied: neutral pelvis cluster (n=32) and tilted pelvis cluster (n=28).
  • Differences between clusters were maintained throughout the entire run (start, middle, and end).
  • The tilted pelvis cluster showed greater trunk-to-pelvis extension, more pelvic anterior tilt, and greater hip flexion.
  • The tilted pelvis cluster also showed a smaller duty factor compared to the neutral pelvis cluster.

All runners reached exhaustion in approximately 20 minutes, covering approximately 5 km, during a treadmill run at 5% above their individual lactate threshold speed.

  • The run-to-exhaustion protocol was conducted on a treadmill.
  • Speed was set at 5% above each runner's individual lactate threshold speed.
  • All 60 runners reached exhaustion in approximately 20 minutes.
  • Runners covered approximately 5 km before exhaustion.

Fatigue-related adaptations in running technique were similar across both clusters, including reduced stride frequency, increased duty factor, and greater trunk flexion during stance.

  • Both the neutral pelvis and tilted pelvis clusters showed reduced stride frequency with fatigue.
  • Both clusters showed increased duty factor as fatigue progressed.
  • Greater trunk flexion during stance was observed in both clusters as fatigue developed.
  • Increased plantar flexion was also observed in both clusters with fatigue.

Coordination variability increased with fatigue in both clusters for trunk-to-pelvis-hip, hip-knee, and knee-ankle joint couplings during the swing phase.

  • Higher coordination variability was observed for trunk-to-pelvis-hip coupling during swing.
  • Higher coordination variability was observed for hip-knee coupling during swing.
  • Higher coordination variability was observed for knee-ankle coupling during swing.
  • These increases in coordination variability occurred similarly in both the neutral pelvis and tilted pelvis clusters.

The study used a 2-way repeated measures ANOVA to compare stride frequency, duty factor, trunk and lower limb kinematics between clusters at the start, middle, and end of the run.

  • A 2-way repeated measures analysis of variance (ANOVA) was used as the primary statistical approach.
  • Measurements were taken at three time points: start, middle, and end of the run.
  • Variables assessed included stride frequency, duty factor, trunk and lower limb kinematics.
  • This was described as a follow-up study to previous work that identified the two technique-based clusters.

Despite similar fatigue-related adaptations across clusters, the underlying technique differences between clusters suggest these adaptations may have distinct mechanical or performance consequences.

  • Although fatigue affected both groups similarly in terms of kinematic changes, the authors noted that baseline technique differences could lead to distinct mechanical consequences.
  • The authors suggest that understanding cluster-specific responses can help coaches tailor training and fatigue management strategies to individual running styles.
  • The persistent between-cluster differences in pelvic tilt, trunk-to-pelvis extension, hip flexion, and duty factor were maintained throughout the exhaustive run.

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Citation

Rivadulla A, Sheehy Z, Chen X, Cazzola D, Trewartha G, Preatoni E. (2026). Does preferred technique influence how kinematics change during a run to exhaustion?-A cluster based approach.. PeerJ. https://doi.org/10.7717/peerj.20673