Inter and intra-limb coordination variability during walking in adolescents with autism spectrum disorder.


Journal

Clinical biomechanics (Bristol, Avon)
ISSN: 1879-1271
Titre abrégé: Clin Biomech (Bristol, Avon)
Pays: England
ID NLM: 8611877

Informations de publication

Date de publication:
10 2021
Historique:
received: 15 09 2020
revised: 23 07 2021
accepted: 27 08 2021
pubmed: 10 9 2021
medline: 27 1 2022
entrez: 9 9 2021
Statut: ppublish

Résumé

Autism spectrum disorder, a neurodevelopmental disorder, is difficult to characterize from a gait biomechanics perspective, possibly due to increased inter and intra-individual variability. Previous research illustrates increased gait variability in young children with autism, but assessments in older adolescents or at varying speeds are unavailable. The purpose of this study was to determine if adolescents with autism demonstrate increased intra-limb and inter-limb coordination variability during walking compared to age, sex, and body mass index matched controls. Seventeen adolescents with autism (age 13-18 years) and seventeen matched controls performed walking at two matched speeds: self-selected of adolescents with autism and at 1.3 m/s. Modified vector coding was used to determine the patterns of movement for foot-shank, left/right thigh, and contralateral thigh-arm coupling. Coordination variability, a measure of cycle-to-cycle variability, was determined across the full stride. Mixed-model analyses of variance were used to determine if group by speed interactions and/or main effects existed for coordination variability. A significant interaction existed for foot-shank variability (p = 0.039). Adolescents with autism had greater variability at self-selected speeds (p = 0.018), but not at 1.3 m/s (p = 0.593) compared to controls. Thigh-thigh coordination was greater for adolescents with ASD compared to controls at both speeds (p = 0.021). Variability was decreased at 1.3 m/s for both foot-shank (p = 0.016) and thigh-thigh (p = 0.021) coupling. This study illustrates that adolescents with autism perform walking with increased coordination variability at both proximal and distal segments. Thus, it is likely intra-individual variability drives the disparity of movement patterns in this population.

Sections du résumé

BACKGROUND
Autism spectrum disorder, a neurodevelopmental disorder, is difficult to characterize from a gait biomechanics perspective, possibly due to increased inter and intra-individual variability. Previous research illustrates increased gait variability in young children with autism, but assessments in older adolescents or at varying speeds are unavailable. The purpose of this study was to determine if adolescents with autism demonstrate increased intra-limb and inter-limb coordination variability during walking compared to age, sex, and body mass index matched controls.
METHODS
Seventeen adolescents with autism (age 13-18 years) and seventeen matched controls performed walking at two matched speeds: self-selected of adolescents with autism and at 1.3 m/s. Modified vector coding was used to determine the patterns of movement for foot-shank, left/right thigh, and contralateral thigh-arm coupling. Coordination variability, a measure of cycle-to-cycle variability, was determined across the full stride. Mixed-model analyses of variance were used to determine if group by speed interactions and/or main effects existed for coordination variability.
FINDINGS
A significant interaction existed for foot-shank variability (p = 0.039). Adolescents with autism had greater variability at self-selected speeds (p = 0.018), but not at 1.3 m/s (p = 0.593) compared to controls. Thigh-thigh coordination was greater for adolescents with ASD compared to controls at both speeds (p = 0.021). Variability was decreased at 1.3 m/s for both foot-shank (p = 0.016) and thigh-thigh (p = 0.021) coupling.
INTERPRETATION
This study illustrates that adolescents with autism perform walking with increased coordination variability at both proximal and distal segments. Thus, it is likely intra-individual variability drives the disparity of movement patterns in this population.

Identifiants

pubmed: 34500337
pii: S0268-0033(21)00204-7
doi: 10.1016/j.clinbiomech.2021.105474
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105474

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Hunter J Bennett (HJ)

Center for Movement, Health and Disability & Department of Human Movement Sciences, Old Dominion University, Norfolk, VA 23529, USA. Electronic address: hjbennet@odu.edu.

Taylor Jones (T)

Center for Movement, Health and Disability & Department of Human Movement Sciences, Old Dominion University, Norfolk, VA 23529, USA. Electronic address: tjone009@odu.edu.

Kevin A Valenzuela (KA)

Department of Kinesiology, HHS2-203, California State University Long Beach, Long Beach, CA 90840, USA. Electronic address: kevin.valenzuela@csulb.edu.

Justin A Haegele (JA)

Center for Movement, Health and Disability & Department of Human Movement Sciences, Old Dominion University, Norfolk, VA 23529, USA. Electronic address: jhaegele@odu.edu.

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