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Record W3006462229

The Effect of Scapular Dyskinesis on Upper Quarter Y-Balance Test Performance

2020· article· en· W3006462229 on OpenAlexaboutno aff
Sophia Manokas, Tal Amasay, Vered Arbel

Bibliographic record

VenueTopSCHOLAR (Western Kentucky University) · 2020
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Quarter (Canadian coin)Balance (ability)Physical medicine and rehabilitationGeographyMedicineGeology
DOInot available

Abstract

fetched live from OpenAlex

The Upper Quarter Y-Balance Test (UQYBT) is a functional assessment tool that measures the stability and mobility of the upper extremity, while also analyzing symmetry. Scapular dyskinesis is defined as an alteration of the positioning and function of the scapula that impacts the overall kinetic chain, inhibiting proper shoulder movement. This condition is most prevalent in athletes participating in overhead sports such as swimming and tennis. Scapular dyskinesis decreases the range of motion of the shoulder resulting in a weakened performance. While it is unknown whether scapular dyskinesis is a cause or effect, it is believed that it increases the risk for shoulder injuries to occur. PURPOSE: to investigate if scapular dyskinesis impacts the performance on the UQYBT. METHODS: Twenty subjects (23±5 years; 76±17 kg; 173±10 cm), eight females and 12 males, participated in this study. Scapular dyskinesis was assessed using the Kibler Scapular Dyskinesis Test (SDT), on all subjects. Once the SDT was completed, the subjects performed the Upper Quarter Y-Balance Test (UQYBT). The three reach directions of the UQYBT are medial reach (MR), superolateral reach (SLR), and inferolateral reach (ILR). Three consecutive trials in all three directions were performed on the right and left arm, randomly. A one-minute resting period was given for each subject between trials. The best reach score for each direction and side was collected and normalized to the right upper extremity length. Composite scores were then calculated using the average of the three reach directions, for each side. One-way ANOVA analyses were used to compare the normalized reach scores for each direction, between the shoulders with scapular dyskinesis and the normal, p<.05. RESULTS: Out of the 40 shoulders tested in this study, 15 shoulders were categorized as having scapular dyskinesis and the other 25 were categorized as normal. No significant differences were found when comparing all three normalized reach scores and normalized composite score between scapular dyskinesis shoulders and normal shoulders, p>.05. For the normal shoulders, %MR was 98.4±7.9%, %SR was 73.1±13.5%, %IR was 81.1±12.8%, and %composite was 84.2±8.95%. In terms of the scapular dyskinesis shoulders, %MR was 95.6±8.9%, %SR was 69.9±13.9%, %IR was 83.8±12.6%, and %composite was 83.1±10.5%. CONCLUSION: In all three reach directions and composite scores, the scapular dyskinesis shoulders were observed to have similar results when compared to the normal shoulders. These results may indicate that subjects with scapular dyskinesis shoulders are able to achieve similar scores due to compensatory patterns of the muscles surrounding the shoulder girdle complex and thorax. Further research needs to be done to investigate if there are different compensatory mechanisms in individuals with scapular dyskinesis shoulders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.228
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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