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Record W3138597697

슬링 감각운동훈련 프로그램이 무릎 골관절염 고령환자의 통증과 기능 수준에 미치는 효과

2020· article· ko· W3138597697 on OpenAlexaboutno aff
김성환, 유성훈

Bibliographic record

Venue대한고령친화산업학회지 · 2020
Typearticle
Languageko
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

연구목적 본 연구의 목적은 무릎 골관절염 있는 고령환자들에게 슬링 감각운동훈련 프로그램을 적용하여 통증, 기능 수준에 미치는 효과를 확인하여 고령환자들에 대한 무릎 골관절염의 회복을 위한 운동 프로그램을 제시하고자 하였다. 연구방법 연구대상자는 무릎 골관절염 고령환자 30명을 선별하여 슬링 감각운동훈련 프로그램을 적용한 실험군 15명과 보존적 물리치료를 적용한 대조군 15명을 무작위로 배치하였다. 중재는 주 3회, 총 6주간 실시하였으며, 한국어판 Western Ontario and McMaster Universities 지수를 사용하여 각 군의 통증과 기능 수준을 평가하였다. 연구결과 본 연구 자료를 비교 분석한 결과, 통증 수준은 사전·사후에 집단간 점수 비교에서 감소하는 경향이 나타났으나, 통계학적으로 유의한 차이가 나타나지 않았다. 기능 수준은 실험군에서 중재 전·후에 통계학적으로 유의한 차이가 있었다(p<.05). 결론 위의 결과를 종합해 볼 때 무릎 골관절염 고령환자에게 슬링 감각운동훈련 프로그램 적용이 통증의 감소와 기능 수준에 개선 효과가 있음을 확인하였다. 따라서 무릎 골관절염 고령환자의 치료 시 슬링 감각운동훈련 프로그램이 필요할 것으로 사료된다.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.011
Scholarly communication0.0100.006
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

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