Adaptations in trunk-pelvis coordination variability in response to fatiguing exercise.
Coordination variability
Gait
Muscle fatigue
Paraspinal muscles
Journal
Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
received:
01
07
2020
revised:
29
10
2020
accepted:
16
11
2020
pubmed:
2
12
2020
medline:
20
7
2021
entrez:
1
12
2020
Statut:
ppublish
Résumé
During walking, variability in how movement is coordinated between body segments from stride to stride facilitates adaptation to changing environmental or task constraints. Magnitude of this inter-segmental coordination variability is reduced in patient populations and may also decrease in response to muscle fatigue. Previously, stride-to-stride variability has been quantified with the Vector Coding (VC) method, however recent research introduced a new Ellipse Area Method (EAM) to avoid statistical artifacts associated with VC. Determine changes in trunk-pelvis coordination variability during walking turns in response to fatiguing exercise and to compare coordination variability quantified with VC to the EAM method. 15 young adults (mean age: 23.7 (±3.2) years) performed 15 trials of a 90-degree walking turn before and after fatiguing paraspinal muscle exercise. Angular kinematics of the trunk and pelvis segments in the axial plane were quantified using three-dimensional motion capture. Stride to stride variability of axial coordination between the trunk and pelvis pre- and post-fatigue was calculated using both VC and EAM methods. Magnitudes of pre- and post-fatigue variability for VC and EAM were compared with paired t-tests and relationship between the magnitude of variability for the two methods was calculated using Pearson correlation coefficients. Using both analytical approaches, trunk-pelvis coordination variability decreased significantly post-fatiguing exercise across the stride cycle and within the stance phase of the turn (p < 0.034 for all comparisons). Average magnitudes of variability calculated with VC and EAM were highly correlated. Time series cross correlations pre-post fatigue ranged from 0.81 to 0.98. In healthy individuals, magnitude of trunk-pelvis stride-to-stride coordination variability is reduced following fatiguing exercise but the temporal distribution of variability across the stride cycle is maintained. This finding is robust to the method used to quantify coordination variability.
Sections du résumé
BACKGROUND
During walking, variability in how movement is coordinated between body segments from stride to stride facilitates adaptation to changing environmental or task constraints. Magnitude of this inter-segmental coordination variability is reduced in patient populations and may also decrease in response to muscle fatigue. Previously, stride-to-stride variability has been quantified with the Vector Coding (VC) method, however recent research introduced a new Ellipse Area Method (EAM) to avoid statistical artifacts associated with VC.
RESEARCH QUESTION
Determine changes in trunk-pelvis coordination variability during walking turns in response to fatiguing exercise and to compare coordination variability quantified with VC to the EAM method.
METHODS
15 young adults (mean age: 23.7 (±3.2) years) performed 15 trials of a 90-degree walking turn before and after fatiguing paraspinal muscle exercise. Angular kinematics of the trunk and pelvis segments in the axial plane were quantified using three-dimensional motion capture. Stride to stride variability of axial coordination between the trunk and pelvis pre- and post-fatigue was calculated using both VC and EAM methods. Magnitudes of pre- and post-fatigue variability for VC and EAM were compared with paired t-tests and relationship between the magnitude of variability for the two methods was calculated using Pearson correlation coefficients.
RESULTS
Using both analytical approaches, trunk-pelvis coordination variability decreased significantly post-fatiguing exercise across the stride cycle and within the stance phase of the turn (p < 0.034 for all comparisons). Average magnitudes of variability calculated with VC and EAM were highly correlated. Time series cross correlations pre-post fatigue ranged from 0.81 to 0.98.
SIGNIFICANCE
In healthy individuals, magnitude of trunk-pelvis stride-to-stride coordination variability is reduced following fatiguing exercise but the temporal distribution of variability across the stride cycle is maintained. This finding is robust to the method used to quantify coordination variability.
Identifiants
pubmed: 33260075
pii: S0966-6362(20)30643-3
doi: 10.1016/j.gaitpost.2020.11.019
pmc: PMC7902355
mid: NIHMS1650305
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-7Subventions
Organisme : NICHD NIH HHS
ID : K01 HD092612
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Références
Hum Mov Sci. 2012 Oct;31(5):1286-301
pubmed: 22698836
J Appl Biomech. 2015 Apr;31(2):102-10
pubmed: 25411821
J Biomech. 2010 Sep 17;43(13):2554-60
pubmed: 20541759
Spine (Phila Pa 1976). 2006 Nov 15;31(24):E898-906
pubmed: 17108818
J Biomech. 2009 Jan 5;42(1):61-6
pubmed: 19062020
Gait Posture. 2017 Oct;58:498-503
pubmed: 28950249
Clin Biomech (Bristol, Avon). 2001 Mar;16(3):175-81
pubmed: 11240051
Gait Posture. 2019 Jan;67:1-8
pubmed: 30245239
Hum Mov Sci. 2011 Oct;30(5):869-88
pubmed: 21802756
Gait Posture. 2018 Sep;65:51-56
pubmed: 30558946
J Electromyogr Kinesiol. 2013 Feb;23(1):70-7
pubmed: 22883392
Clin Biomech (Bristol, Avon). 2016 Jan;31:87-92
pubmed: 26432415
PLoS One. 2019 Dec 31;14(12):e0227247
pubmed: 31891644
Clin Biomech (Bristol, Avon). 2011 Jul;26(6):572-8
pubmed: 21536356
Neurosci Biobehav Rev. 2012 Jan;36(1):162-76
pubmed: 21645543
Gait Posture. 2010 Apr;31(4):444-9
pubmed: 20171890
Exp Brain Res. 2011 Apr;209(4):525-36
pubmed: 21331526
J Orthop Sports Phys Ther. 2009 Apr;39(4):287-95
pubmed: 19346626
Gait Posture. 2017 Feb;52:15-21
pubmed: 27846435
Hum Mov Sci. 2002 Jul;21(2):273-93
pubmed: 12167303
Clin Biomech (Bristol, Avon). 2002 Jun;17(5):414-7
pubmed: 12084547
Clin Biomech (Bristol, Avon). 2016 Jul;36:58-64
pubmed: 27214247
J Electromyogr Kinesiol. 2006 Feb;16(1):51-7
pubmed: 16099678
J Electromyogr Kinesiol. 2015 Dec;25(6):928-36
pubmed: 26542483
Arch Phys Med Rehabil. 1999 Feb;80(2):186-91
pubmed: 10025495
Phys Ther. 2010 Sep;90(9):1302-10
pubmed: 20592268
J Electromyogr Kinesiol. 2008 Dec;18(6):997-1005
pubmed: 18396410
J Biomech. 2006;39(4):750-7
pubmed: 16439245
J Orthop Sports Phys Ther. 2016 May;46(5):365-74
pubmed: 26999410