Physical Activity and its Relationship to Physical Performance in Patients With End Stage Knee Osteoarthritis
Bibliographic record
Abstract
STUDY DESIGN: Cross-sectional observational design. OBJECTIVES: To compare physical activity levels in men and women with end-stage knee osteoarthritis to those of a comparison group and to examine the relationship between physical activity level and physical performance. BACKGROUND: Osteoarthritis of the knee is associated with significant losses in functional performance and high social costs. Although reductions in physical activity are reported, they have not been quantified or explored. METHODS AND MEASURES: Fifty-nine candidates awaiting total knee arthroplasty (TKAC group) and 79 individuals without osteoarthritis (comparison group) participated. Physical activity was assessed using the Voorrips Questionnaire. Performance measures included fast self-paced walk test, timed up-and-go test, and a timed stair performance measure. A subset of subjects completed the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and underwent muscular strength and endurance testing. The effects of gender and group were tested using GLM ANOVA. Pearson product moment correlations were used to examine relationships between the variables. RESULTS: All aspects of physical activity were lower (P<.001) in the TKAC group, with a moderate difference in household score (18%) and a large difference in leisure activities (63%). Unlike the comparison group, modest but significant correlations (r = 0.31-0.33, P<.03) were observed between overall physical activity and performance test scores for the TKAC group. Physical activity was not significantly related to pain reported on the WOMAC or during the performance tasks. CONCLUSIONS: The belief that pain limits the physical activity of patients with severe osteoarthritis requires further investigation. The profound differences between a comparison group and patients with end-stage osteoarthritis in physical activity have critical implications for the well-being and effective treatment of this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".