Frailty moderates the relation between moderate-to-vigorous physical activity & stationary time with knee osteoarthritis symptoms
Bibliographic record
Abstract
Physical activity is protective against osteoarthritic development and is among the best approaches to manage frailty, which can be characterized as the presence of health deficits. It is unclear whether overall health of a person influences the relation between physical activity and knee-joint health. OBJECTIVE: Test the hypothesis that physical activity is associated with knee osteoarthritis symptoms and investigate frailty as a moderator. DESIGN: This cohort observational study included participants (n = 1351; 728 females) from the Osteoarthritis Initiative, aged 45-79 (60±9) years. Hip-worn accelerometers were used to quantify free-living stationary time, light (LPA) and moderate-to-vigorous-physical-activity (MVPA). The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) defined symptom progression. Baseline frailty was determined via a 31-item Frailty Index and participants grouped into Non-Frail (0-0.09), Very-Mild Frailty (0.1-0.19), and Mild Frailty+ (>0.2). Accelerometry and WOMAC were determined at 72-month follow-up. RESULTS: MVPA (18±19mins/day) was negatively related to WOMAC outcomes (β<-0.0155, p < 0.0022), while LPA (274±79mins/day) was not (β<0.0005, p > 0.3061). Stationary time (606±88mins/day) was positively associated with WOMAC stiffness (β=0.0009, p = 0.0147). Frailty (0.134±0.077) did not moderate LPA and WOMAC relations (p > 0.308). A stronger negative relation between MVPA and WOMAC pain (β=-0.0092, p = 0.041) was observed in the Mild Frailty+ group compared to the Very-Mild Frailty and Non-Frail groups. A stronger positive relation between Stationary time and WOMAC stiffness (β=0.0013, p = 0.012) was observed in the Mild Frailty+ groups compared to the Very-Mild Frailty and Non-Frail groups. CONCLUSION: Engaging in MVPA and limiting stationary time may be more beneficial on knee osteoarthritis pain and stiffness among frailer older adults.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".