Moderate‐To‐Vigorous Physical Activity Independent of Stationary Time Is Associated With Better Functional Outcomes Over Four‐Years in Individuals With or at Risk of Knee Osteoarthritis
Bibliographic record
Abstract
INTRODUCTION: Osteoarthritis is a progressive joint disease that causes pain and disability, impairing physical function. Moderate-to-vigorous physical activity (MVPA) is recommended for knee osteoarthritis, while stationary time, independent of activity, may negatively impact health outcomes. We hypothesised that individuals with the highest MVPA and lowest stationary time would have better long-term function compared to those with the lowest MVPA and highest stationary time, as well as those with high levels of both MVPA and stationary time. METHODS: Data included 442 participants, with an average age of 66-years and 190-females from the Osteoarthritis Initiative who wore accelerometers to assess MVPA and stationary time. Participants were grouped into tertiles of MVPA and stationary time normalised to total accelerometer wear time. The three groups were: highest activity, lowest stationary (HALS), highest activity, highest stationary (HAHS), and lowest activity, highest stationary (LAHS). Gait speed, the 400 m walk test, and five-time repeated chair stand were assessed at baseline and four-year follow-up. RESULTS: Compared to the LAHS group, the HALS and HAHS groups had better performance in gait speed p < 0.001, d = 0.96-1.06, 400m walk time p < 0.001, d = 1.21-1.36, and five-time repeated chair stand p < 0.001, d = 0.54-0.81 at baseline and four-year follow-up. No differences were found between the HALS and HAHS groups at either timepoint. CONCLUSION: Higher levels of MVPA were associated with better lower-limb functional outcomes in individuals with or at risk of knee osteoarthritis. Higher levels of stationary time do not negatively influence functional performance as long as higher numbers of MVPA levels (∼30 min/day) are achieved.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".