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. 2018 Aug;13(4):633-642.

ALTERING CADENCE OR VERTICAL OSCILLATION DURING RUNNING: EFFECTS ON RUNNING RELATED INJURY FACTORS

Affiliations

ALTERING CADENCE OR VERTICAL OSCILLATION DURING RUNNING: EFFECTS ON RUNNING RELATED INJURY FACTORS

Douglas Adams et al. Int J Sports Phys Ther. 2018 Aug.

Abstract

Background: Wearable devices validly assess spatiotemporal running parameters (cadence, vertical oscillation and ground contact time), but the relationship between these parameters and lower limb loading parameters (loading rate, peak vertical ground reaction force [vGRF] and braking impulse) is unknown.

Purpose: To characterize changes in lower limb loading parameters in runners instructed to run with increased cadence or low vertical oscillation, and to determine whether the change in spatiotemporal parameters predicted the changes in lower limb loading parameters.

Study design: Cross Sectional Cohort Study.

Methods: Twenty healthy runners completed three running trials in three conditions: baseline, high cadence, and low vertical oscillation. Spatiotemporal parameters were measured with a wearable device and lower limb loading was measured using an instrumented treadmill. Spatiotemporal and loading parameters were analyzed between running conditions via a repeated measure ANOVA. A hierarchical regression model was used to determine if changes in spatiotemporal parameters predicted the change of loading parameters during conditions.

Results: High cadence and low oscillation conditions reduced average vertical loading rate (p = 0.013 and p = 0.002, respectively), instantaneous vertical loading rate (p = 0.022 and p = 0.001, respectively), and peak vGRF (p = 0.025 and p < 0.001, respectively). Braking impulse was significantly lower in the high cadence condition compared to baseline (p < 0.001), but not during the low oscillation (p = 1.000). The increase in cadence during the high cadence condition predicted the reduction of instantaneous vertical loading rate (r2 = 0.213, p = 0.041) and braking impulse (r2 = 0.279, p = 0.017). The reduction in vertical oscillation was more predictive of the change of peak vGRF in both running conditions (high cadence, r2 = 0.436, p = 0.009; low oscillation r2 = 0.748, p < 0.001).

Conclusion: While both higher cadence and lower vertical oscillation resulted in reduced loading rates during running, cueing to reduce vertical oscillation was more successful in reducing peak vGRF and only the higher cadence condition reduced braking impulse. These findings will inform clinicians who wish to use wearable devices for running gait modification to select injury-specific gait retraining cues.

Level of evidence: Level 3.

Keywords: ground reaction forces; running retraining; wearable devices.

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Figures

Figure 1.
Figure 1.
Calculation of vertical and braking and propulsive ground reaction force variables. A) average vertical loading rate (AVLR) and instantaneous vertical loading rate (IVLR) were calculated in the middle 60% of the vertical ground reaction force (GRF) curve between footstrike and the vertical impact peak. B) braking and propulsive impulse were calculated as the time integral of the respective portions of the anterior-posterior GRF curve.
Figure 2.
Figure 2.
Average change in cadence, vertical displacement, and ground contact time during the baseline, high cadence and low oscillation running conditions. Error bars represent standard deviation. a, Repeated measure ANOVA, main effect of condition (p < 0.001) b, Tukey post-hoc with Bonferroni correction, baseline vs. high cadence (p < 0.05) c, Tukey post-hoc with Bonferroni correction, baseline vs. low oscillation (p < 0.05) d, Tukey post-hoc with Bonferroni correction, high cadence vs. low oscillation (p < 0.05)
Figure 3.
Figure 3.
Average change in loading parameters, average loading rate, instantaneous loading rate, breaking impulse and peak vertical ground reaction force during the baseline, high cadence and low oscillation running conditions. Error bars represent standard deviation. a, Repeated measure ANOVA, main effect of condition (p < 0.001) b, Tukey post-hoc with Bonferroni correction, baseline vs. high cadence (p < 0.05) c, Tukey post-hoc with Bonferroni correction, baseline vs. low oscillation (p < 0.05) d, Tukey post-hoc with Bonferroni correction, high cadence vs. low oscillation (p < 0.05)

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