Perceptions of Issues Relating to Exercise and Joint Health in Rheumatoid Arthritis: A UK‐Based Questionnaire Study
Bibliographic record
Abstract
OBJECTIVES: This questionnaire study investigated the perceptions of rheumatoid arthritis (RA) patients across the UK in relation to exercise and joint health. The validity of the measure was also assessed. METHODS: Members of the National Rheumatoid Arthritis Society (NRAS) with self-reported RA completed the questionnaire online. Items related to five factors that emerged from previous qualitative research. Participants responded using a five-point Likert-style scale (strongly disagree to strongly agree). The International Physical Activity Questionnaire (IPAQ) assessed physical activity. The model was tested using confirmatory factor analysis (LISREL 8.8); statistical analyses were conducted using the Statistical Package for the Social Sciences (SPSS). RESULTS: A total of 247 responses were collected over 47 days (88% females; age: 18-77 years; disease duration: <1-51 years). Acceptable factorial validity was revealed (Satorra-Bentler χ(2) = 774.47, df = 454, p < 0.001, root mean squared error of approximation (RMSEA) = 0.05, 90% confidence interval RMSEA = 0.05-0.06, comparative fit index = 0.94, standardized root mean square residual = 0.09), with the following factor endorsements: 'Health professionals show exercise knowledge' (19%); 'Knowing what exercise should be done' (43%); 'Having to exercise because it is helpful' (72%); 'Worry about causing harm to joints' (44%); and 'Not wanting to exercise as joints hurt' (52%). Patient concerns about joint pain, joint harm and how to exercise were significantly associated with lower physical activity (p < 0.05). CONCLUSIONS: These results confirm that patients perceive exercise as beneficial. However, concerns about how to exercise, joint pain, causing harm to joints and a perceived lack of exercise knowledge among health professionals remain. Addressing these concerns may have implications for increasing physical activity within the RA 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".