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HUBUNGAN GLENOHUMERAL INSTABILITY TERHADAP TERJADINYA SWIMMER’S SHOULDER PADA KLUB RENANG DI KABUPATEN BADUNG

2021· article· id· W3202672162 on OpenAlexaboutno aff
Dewa Ayu Diah Agung Maheswari, Anak Ayu Nyoman Trisna Narta Dewi, Ni Luh Putu Gita Karunia Saraswati, Ni Wayan Tianing

Bibliographic record

VenueMajalah Ilmiah Fisioterapi Indonesia · 2021
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecologyHumanitiesArt

Abstract

fetched live from OpenAlex

Swimmer’s Shoulder menggambarkan kondisi nyeri bahu yang dialami oleh perenang, salah satu faktor resikonya yaitu glenohumeral instability yang merupakan kondisi ketidakstabilan bahu. Kondisi bahu yang tidak stabil dapat menurunkan performa atlet yang dapat meningkatkan resiko terjadinya swimmer’s shoulder. Penelitian ini bertujuan untuk mengetahui hubungan glenohumeral instability terhadap terjadinya swimmer’s shoulder pada klub renang di Kabupaten Badung. Penelitian ini menggunakan rancangan observasional analytic dengan pendekatan metode cross sectional study dan teknik nonprobability sampling dengan jenis purposive sampling dalam. Sampel berjumlah 67 orang, yang diukur glenohumeral instability nya menggunakan tes spesifik yaitu apprehension test dan sulcus sign test dengan skala Visual Analog Scale (VAS) dan swimmer’s shoulder menggunakan kuesioner Western Ontario Rotator Cuff (WORC). Analisis data yang digunakan yaitu teknik spearman’s rho dengan nilai p=0,001, sampel dengan kondisi bahu yang stabil berjumlah 50 orang (74,6%) dan dominan berpotensi rendah terjadinya swimmer’s shoulder (74,6%) sedangkan kondisi bahu yang tidak stabil 17 orang (25,4%) dan dominan berpotensi sedang terjadinya swimmer’s shoulder (25,4%). Hasil analisis data ini menunjukkan bahwa terdapat hubungan yang signifikan antara glenohumeral instability dengan swimmer’s shoulder pada klub renang di Kabupaten Badung.
 Kata Kunci: perenang, swimmer’s shoulder, glenohumeral instability

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0180.001

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 head0.060
GPT teacher head0.391
Teacher spread0.331 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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