Differences in characteristics, health status and fulfillment of exercise recommendations between axial spondyloarthritis patients with and without supervised group exercise
Bibliographic record
Abstract
OBJECTIVE: Since decades, supervised group exercise (SGE) is recommended for people with axial spondyloarthritis (axSpA). This study examines if weekly SGE contributes to fulfillment of exercise recommendations in axSpA patients. METHODS: Cross-sectional data from three studies with axSpA patients in The Netherlands, including two with outpatient populations (n = 196 and n = 153) and one with SGE participants (n = 128), were analysed. Sociodemographic and disease characteristics, SGE participation, health status (ASAS Health Index), spinal mobility and fulfillment of the recommendations for leisure-time aerobic (≥150 min/week moderate-intensity or ≥75 min/week vigorous-intensity) and strength and mobility (≥2 sessions/week) exercise (measured with SQUASH-questionnaire) were assessed. Differences between patients with and without SGE were analysed. RESULTS: In the two outpatient populations (n = 349), 17 patients (5%) used SGE. The SGE participants (n = 145) were significantly older, had longer disease duration, were less frequently employed, used less medication and had worse spinal mobility than patients without SGE (n = 332). There were no significant differences in health status. Patients with SGE fulfilled the moderate-intensity aerobic (89 % vs. 69%) and strength and mobility (44 % vs. 29%) exercise recommendations more often than patients without SGE, but the aerobic exercise recommendation was less often fulfilled with vigorous-intensity exercise (5 % vs. 12%). CONCLUSION: SGE is used by just few, especially older, axSpA patients and contributes to fulfilling recommendations for moderate-intensity, mobility and strength exercise. Both in patients with and without SGE, only a minority fulfilled the recommendations for vigorous-intensity, strength and mobility exercises. Therefore, future promotion of exercise should focus on implementing these types of exercise.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".