Article ; Online: Reliability of Shoulder Helical Axes During Intransitive and Transitive Upper Limb Tasks.
Journal of applied biomechanics
2023 Volume 39, Issue 6, Page(s) 440–445
Abstract: Shoulder complex stability can be estimated in vivo through the analysis of helical axes (HAs) dispersion during upper limb movements. The study aimed at investigating test-retest reliability of shoulder HAs dispersion parameters during upper limb tasks. ...
Abstract | Shoulder complex stability can be estimated in vivo through the analysis of helical axes (HAs) dispersion during upper limb movements. The study aimed at investigating test-retest reliability of shoulder HAs dispersion parameters during upper limb tasks. Twenty healthy volunteers performed 2 intransitive (shoulder flexion and rotation) and one transitive (combing) tasks with the dominant and nondominant upper limbs during 2 recording sessions at 1-week distance. Kinematics was detected through an optoelectronic system. Mean distance and mean angle (MA) were adopted as HAs dispersion indexes. Reliability was excellent for mean distance (intraclass correlation coefficient [ICC]: .91) and MA (ICC: .92) during dominant flexion, and good for MA (ICC: .90) during nondominant flexion. Moderate reliability was found for HAs parameters during rotation (ICCs from .70 to .59), except for MA during dominant rotation where reliability was poor. Reliability was good for mean distance (ICC: .83) and moderate for MA (ICC: .67) during the dominant combing task, whereas no reliability was found during the nondominant combing task. HAs dispersion parameters revealed high reliability during simple intransitive tasks with the dominant limb. Reliability decreased with the increase in task complexity due to the increase in movement variability. HAs dispersion technique could be used to assess shoulder complex stability in patients after rehabilitation or surgery. |
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MeSH term(s) | Humans ; Shoulder ; Reproducibility of Results ; Upper Extremity ; Shoulder Joint ; Movement | |||||
Language | English | |||||
Publishing date | 2023-09-28 | |||||
Publishing country | United States | |||||
Document type | Journal Article | |||||
ZDB-ID | 1145288-2 | |||||
ISSN | 1543-2688 ; 1065-8483 | |||||
ISSN (online) | 1543-2688 | |||||
ISSN | 1065-8483 | |||||
DOI | 10.1123/jab.2022-0321 | |||||
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Database | MEDical Literature Analysis and Retrieval System OnLINE |
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