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Record W221272053

Changes in Pain, Fatigue, Perceived Health Status, Joint Stiffness, Disability in ADL, and Depression after Tai Chi for Arthritis Program

2008· article· en· W221272053 on OpenAlexaboutno aff
Kyung-Sook Lee, Aeyoung So, Jung-Sook Choi, Eun‐Hee Lee, Bo-BI Yoo

Bibliographic record

VenueThe Journal of Muscle and Joint Health · 2008
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyMedicineDepression (economics)WOMACOsteoarthritisRepeated measures designActivities of daily livingArthritisJoint painRating scalePsychologyAlternative medicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Abstract Purpose: The purpose of this study was to observe the changes of the pain, fatigue, perceived health status, disability in ADL, and depression after Tai Chi for arthritis. Method: The subjects were 19 osteoarthritis women enrolled at one primary health care post. They have agreed to participate in this study, and participated in the 12-week Tai Chi program from Dec. 2006 to Mar. 2007, and all the measurement processes in right after, 2 months later, and 4 months later after Tai Chi program. The measurement tools of this study were all self-reported questionnaires such as Numerical Rating Scale (0-100) for pain, fatigue, and perceived health status, Korean- WOMAC (Western Ontario and McMaster University Osteoarthritis) Index for joint stiffness, Korean Health Assessment Questionnaire, and CES-Depression scale. Results: The repeated measure ANOVA revealed the significant differences on pain among the right after, 2 months later, and 4 months later the program. Especially 2 months later after program, pain was significantly increased than right after by

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.103
GPT teacher head0.380
Teacher spread0.277 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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