MétaCan
Menu
Back to cohort
Record W1975737477 · doi:10.2190/iq.26.3.f

The Effect of Iyengar Yoga and Strengthening Exercises for People Living with Osteoarthritis of the Knee: A Case Series

2006· article· en· W1975737477 on OpenAlexaboutno aff
Elaine L. Bukowski, Allison Conway, Laura A. Glentz, Kristy Kurland, Mary Lou Galantino

Bibliographic record

VenueInternational Quarterly of Community Health Education · 2006
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
FundersPomona CollegeStockton University
KeywordsPhysical therapyOsteoarthritisMedicineWOMACQuality of life (healthcare)Flexibility (engineering)HamstringIntervention (counseling)Physical medicine and rehabilitationAlternative medicineNursing

Abstract

fetched live from OpenAlex

This case series describes the impact of various forms of exercise on symptoms associated with osteoarthritis of the knee. A group of 15 women and men performed one of the following: traditional stretching and strengthening exercises, Iyengar yoga, or no structured group exercise. Low back and hamstring flexibility and quadriceps strength and function were monitored before and after the program. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was used to assess subjective change after the six-week intervention period. A global assessment questionnaire was also completed by each participant and each instructor at the exit sessions to measure perceived changes in improvements since the initiation of the intervention. This study found functional changes and improvement in quality of life in traditional exercise and a yoga based approach that should encourage further comprehensive and carefully designed studies of yoga in osteoarthritis.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.299
Teacher spread0.292 · 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 designCase report
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

Citations64
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueInternational Quarterly of Community Health EducationSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207