Factors associated with physical activity engagement among adults with rheumatoid arthritis: A cross‐sectional study
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Objectives Physical activity (PA) has a number of benefits for rheumatoid arthritis (RA) patients. However, these patients are more physically inactive than the general population. The primary aim of this study was to investigate factors associated with PA engagement among RA patients. The secondary aim was to identify their preference for PA support. Methods There were 96 participants, 76 of whom were female, with a mean age of 56.9 years (range = 34–72 years) and a median RA disease duration of 5 years (interquartile range = 2–12). All patients completed questionnaires assessing demographic status, health status (including cardiovascular disease [CVD] risk and RA disease profile), PA levels and preferences, alongside the perceived benefits of—and barriers to—PA. Hierarchical regressions were carried out to assess the relationship between reported PA levels and both engagement determinants and disease features. Results Forty‐five per cent ( n = 44) had low levels (<600 metabolic equivalent‐min/week) of PA. Low level of PA was significantly associated with: CVD risk profile (η p 2 = 0.118, p < 0.002); functional disability (η p 2 = 0.206, p < 0.032); pain (η p 2 = 0.154, p < 0.028); general personal (η p 2 = 0.190, p < 0.001) and arthritis‐specific personal (η p 2 = 0.170, p < 0.001) barriers to PA; age (η p 2 = 0.076, p < 0.026); and sedentary behaviour (η p 2 = 0.275, p < 0.001). Participants displayed a preference for unsupervised ( n = 37, 38.5%), low‐intensity ( n = 45, 46.9%), indoor home ( n = 50, 52.1%) exercises, with no preferences for the diversity of the exercise prescribed ( n = 39, 40.6%) or for who provided the exercise counselling ( n = 34, 35.4%). Conclusions These results suggest that CVD profile, disability, pain, and general and arthritis‐specific personal barriers are associated with PA levels among RA patients. Intervention development should address these factors to facilitate an increase in PA uptake.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it