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Record W1923924749

수중운동이 골관절염 여성노인 환자의 관절각도, 관절통증, 관절강직 및 기능제한에 미치는 효과

2015· article· ko· W1923924749 on OpenAlexaboutno aff
송민선, 유용권, 김남초

Bibliographic record

VenueJournal of Korean Gerontological Nursing · 2015
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsWilcoxon signed-rank testOsteoarthritisPhysical therapyMedicineStatistical significanceTest (biology)Physical medicine and rehabilitationMann–Whitney U testInternal medicineAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study was to examine the effects of aquatic exercise on joint angle, pain, stiffness and physical fitness in elderly women with osteoarthritis. Methods: Elderly women with osteoarthritis were offered aquatic exercise between October 2014 and December 2014. In experimental groups, patients were included in pre-determined exercise programs 3 times per week for 12 weeks. Eighteen participants were in the experimental group and 18 participants were in the control group. Joint angle and the Korean Western Ontario and McMaster Universities’ Osteoarthritis Index (pain, stiffness, physical function) were measured pre and post aquatic exercise. The study variables were analyzed using x2 test, Fisher’s exact test, Wilcoxon signed rank test, and Wilcoxon rank sum test with the SPSS statistical package. Results: The experimental groups showed statistically significant decreases in left and right joint angle. However there were no differences in pain, stiffness and physical function. Conclusion: After aquatic exercise program, there was no improvement in subjective symptoms for pain however, the objective index of joint angle index showed improvements which supported the positive effects.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.225
GPT teacher head0.450
Teacher spread0.225 · 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.

Study designOther design
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
Published2015
Admission routes1
Has abstractyes

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