201. Self-Reported Sitting Time and Physical Function in Patients Consulting with Peripheral Joint Pain
Bibliographic record
Abstract
Background: A sedentary lifestyle has been linked to an increased risk of chronic disease and less favourable chronic disease outcome. Exercise is currently recommended as a key treatment in many chronic conditions, including OA, however, limiting the amount of time spent sitting may be just as important and a more achievable recommendation for people with long-term conditions. The aim of this study was to investigate the association between self-reported sitting time and physical function in those consulting for peripheral joint pain within primary care. Methods: Baseline data from the MOSAICS cluster trial (n = 525), which included patients aged 45 years and over consulting for peripheral joint pain in 8 general practices (4 intervention, 4 control practices) in the North West Midlands, were drawn upon for the analysis. Self-reported participant characteristic such as age, gender and weight were collected. Participants were also asked to report the amount of time they spent sitting during the day and their physical activity levels over the last 7 days (International Physical Activity Questionnaire, short form). Physical function was also assessed using the Western Ontario and McMaster Osteoarthritis Index 8 physical function subscale.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".