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Record W2103317381 · doi:10.1002/art.20902

Effects of exercise adherence on physical function among overweight older adults with knee osteoarthritis

2005· article· en· W2103317381 on OpenAlexaboutno aff
Coen H. van Gool, Brenda W.J.H. Penninx, Gertrudis I. J. M. Kempen, W. Jack Rejeski, Gary D. Miller, J. Th. M. van Eijk, Marco Pahor, Stephen P. Messier

Bibliographic record

VenueArthritis Care & Research · 2005
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Institute on Aging
KeywordsOverweightMedicineOsteoarthritisPhysical therapyBody mass indexKnee painObesityInternal medicinePhysical medicine and rehabilitationAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether high exercise adherence improved physical function among older adults with knee osteoarthritis (OA) who were overweight or obese. METHODS: Associations between exercise adherence, changes in 6-minute walking distance in meters, and self-reported disability (Western Ontario and McMaster Universities Osteoarthritis Index function subscale) after 6 and 18 months were examined among an Arthritis, Diet, and Activity Promotion Trial subsample (n = 134) using multiple linear regression models. RESULTS: Higher exercise adherence was associated with greater improvements in 6-minute walking distance after 6 and 18 months and in disability after 6 months. Pain and body mass index (BMI) contributed, to some extent, to explaining the link between exercise adherence and changes in physical performance and self-reported disability. CONCLUSION: Higher exercise adherence is associated with improved physical function in overweight and obese older adults with knee OA. This indicates that promoting adherence is clinically relevant when prescribing exercise regimens that also focus on decreasing pain and BMI.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.271
Teacher spread0.263 · 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

Citations208
Published2005
Admission routes1
Has abstractyes

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