Team Rehabilitation in Inflammatory Arthritis Benefits Functional Outcomes Along With Improved Body Composition Associated With Improved Cardiorespiratory Fitness
Bibliographic record
Abstract
Objective We investigated the effect of team rehabilitation in inflammatory arthritis (IA) on body composition and physical function. Further, we examined whether body composition and physical function are associated with disability and cardiorespiratory fitness (CRF). Methods The participants were 149 patients (74% women) with chronic arthritis, a mean age of 53 (SD 13) years, and mean disease duration of 21 (SD 13) years. They participated in a 4-week team rehabilitation program and were evaluated at prerehabilitation, and at 3 and 12 months postrehabilitation. Body composition was assessed by bioelectrical impedance analysis and CRF by the Åstrand 6-minute cycle test. ANCOVA with Bonferroni correction and linear mixed models were applied. Results After 3 and 12 months, there were significant reductions in waist circumference and measures of fat, adjusted for age, sex, and baseline measures. The prevalence of adiposity and central obesity decreased after 12 months. Hand grip strength and timed sit-to-stand (TST) improved together with reduction in Health Assessment Questionnaire (HAQ) and increased VO2max after 3 and 12 months. HAQ reduction over time was associated with prerehabilitation measures of lean mass of legs, hand grip strength, TST, and physical activity, and changes in hand grip strength, physical activity, and sedentary time, but not with changes of body composition. VO2max improvement over time was associated with prerehabilitation BMI, waist circumference, measures of fat and lean mass, changes in BMI, waist circumference, and measures of fat. Conclusion In patients with IA, 4-week team rehabilitation benefited body composition, level of physical functioning, activity, and CRF for up to 12 months. Measures of physical function and activity were linked to HAQ over time, whereas body composition was linked to CRF.
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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 | 0.001 |
| 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 | 0.000 |
| 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".