Improving the objectivity of the current World Para Swimming motor coordination test for swimmers with hypertonia, ataxia and athetosis using measures of movement smoothness, rhythm and accuracy

Ana Carolina Maia; Luke Hogarth; Brendan Burkett; Carl Payton

doi:10.1080/02640414.2021.1935114

Back

Improving the objectivity of the current World Para Swimming motor coordination test for swimmers with hypertonia, ataxia and athetosis using measures of movement smoothness, rhythm and accuracy

Journal article

Open access

Peer reviewed

Improving the objectivity of the current World Para Swimming motor coordination test for swimmers with hypertonia, ataxia and athetosis using measures of movement smoothness, rhythm and accuracy

Ana Carolina Maia, Luke Hogarth, Brendan Burkett and Carl Payton

Journal of Sports Sciences, Vol.39(Supplement 1), pp.62-72

2021

DOI: https://doi.org/10.1080/02640414.2021.1935114

PMID: 34092196

Files and links (2)

pdf

Improving the objectivity of the current World Para Swimming motor coordination test for swimmers with hypertonia, ataxia and athetosis using measures of movement smoothness, rhythm and accuracy-FINAL2.07 MBDownload View

Published Version Open Access CC BY-NC-ND V4.0

url

https://doi.org/10.1080/02640414.2021.1935114View

Published Version

Abstract

Para swimming

classification

movement smoothness

motor coordination

The current protocol for classifying Para swimmers with hypertonia, ataxia and athetosis involves a physical assessment where the individual’s ability to coordinate their limbs is scored by subjective clinical judgment. The lack of objective measurement renders the current test unsuitable for evidence-based classification. This study evaluated a revised version of the Para swimming assessment for motor coordination, incorporating practical, objective measures of movement smoothness, rhythm error and accuracy. Nineteen Para athletes with hypertonia and 19 non-disabled participants performed 30 s trials of bilateral alternating shoulder flexion-extension at 30 bpm and 120 bpm. Accelerometry was used to quantify movement smoothness; rhythm error and accuracy were obtained from video. Para athletes presented significantly less smooth movement and higher rhythm error than the non-disabled participants (p < 0.05). Random forest algorithm successfully classified 89% of participants with hypertonia during out-of-bag predictions. The most important predictors in classifying participants were movement smoothness at both movement speeds, and rhythm error at 120 bpm. Our results suggest objective measures of movement smoothness and rhythm error included in the current motor coordination test protocols can be used to infer impairment in Para swimmers with hypertonia. Further research is merited to establish the relationship of these measures with swimming performance.

Details

Title: Improving the objectivity of the current World Para Swimming motor coordination test for swimmers with hypertonia, ataxia and athetosis using measures of movement smoothness, rhythm and accuracy
Authors: Ana Carolina Maia (Author) - Manchester Metropolitan University
Luke Hogarth (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - Legacy
Brendan Burkett (Author) - University of the Sunshine Coast, Queensland, High Performance Sport - Legacy
Carl Payton (Author) - Manchester Metropolitan University
Publication details: Journal of Sports Sciences, Vol.39(Supplement 1), pp.62-72
Publisher: Routledge
Date published: 2021
DOI: 10.1080/02640414.2021.1935114
ISSN: 1466-447X
PMID: 34092196
Organisation Unit: High Performance Sport - Legacy; University of the Sunshine Coast, Queensland; School of Health - Sports & Exercise Science; School of Health and Behavioural Sciences - Legacy
Language: English
Record Identifier: 99541808902621
Output Type: Journal article

Metrics

15 File views/ downloads

54 Record Views

4 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Sport Sciences