TY - JOUR
T1 - Joint movement patterns differ among male recreational runners with different running style
AU - Floría, Pablo
AU - Harrison, Andrew J.
AU - Rojo-Álvarez, Jose Luis
AU - Melgarejo-Meseguer, Francisco M.
AU - Sanchez-Sixto, Alberto
N1 - Publisher Copyright:
© 2024 International Society of Biomechanics in Sports.
PY - 2024
Y1 - 2024
N2 - The purpose of this study was to analyse the differences in joint kinematic patterns among runners with different spatiotemporal characteristics in the running cycle. Lower extremity kinematic data and spatiotemporal stride parameters were collected for ninety-two recreational runners during a treadmill run at a self-selected comfortable speed. A K-means clustering analysis was conducted on normalised stride cadence and Duty Factor to identify running style. Cluster 1 characterised by reduced stance times and low Duty Factor; Cluster 2, long stance times and low stride cadence; Cluster 3, high Duty Factor and stride cadence. Functional principal component analysis was used to identify patterns of variability between runners. Runners who used a combination of high cadence and Duty Factor showed differences in hip, knee and ankle sagittal kinematics compared to other runners. On the contrary, the joint kinematics was not altered when the Duty Factor was increased along with a decrease in the stride cadence. This study has demonstrated that the combination of several spatial-temporal parameters of the running cycle should be considered when analysing the movement pattern of the lower limb.
AB - The purpose of this study was to analyse the differences in joint kinematic patterns among runners with different spatiotemporal characteristics in the running cycle. Lower extremity kinematic data and spatiotemporal stride parameters were collected for ninety-two recreational runners during a treadmill run at a self-selected comfortable speed. A K-means clustering analysis was conducted on normalised stride cadence and Duty Factor to identify running style. Cluster 1 characterised by reduced stance times and low Duty Factor; Cluster 2, long stance times and low stride cadence; Cluster 3, high Duty Factor and stride cadence. Functional principal component analysis was used to identify patterns of variability between runners. Runners who used a combination of high cadence and Duty Factor showed differences in hip, knee and ankle sagittal kinematics compared to other runners. On the contrary, the joint kinematics was not altered when the Duty Factor was increased along with a decrease in the stride cadence. This study has demonstrated that the combination of several spatial-temporal parameters of the running cycle should be considered when analysing the movement pattern of the lower limb.
KW - Cadence
KW - clustering
KW - duty factor
KW - functional data analysis
UR - http://www.scopus.com/inward/record.url?scp=85181654155&partnerID=8YFLogxK
U2 - 10.1080/14763141.2023.2298947
DO - 10.1080/14763141.2023.2298947
M3 - Article
AN - SCOPUS:85181654155
SN - 1476-3141
JO - Sports Biomechanics
JF - Sports Biomechanics
ER -