Persisting with physical activity during an arthritis flare: Do pain acceptance and self-regulatory efficacy predict?
Bibliographic record
Abstract
Past research indicates that greater self-regulatory efficacy (SRE) and pain acceptance (AE) are associated with higher levels of physical activity (PA) in people with arthritis. Greater SRE has also characterized those individuals who meet recommended levels of PA while experiencing a spike in disease symptoms (flares: Gyurcsik et al, in press). However, self-regulatory process variables leading to PA (e.g., persistence) remain unexamined. We hypothesized that both AE and SRE would predict persistence with PA despite the challenge of an arthritis flare. We examined 33 adults with arthritis in both flare and non-flare conditions. We measured SRE to a) schedule/plan PA (SRE-SP), b) overcome symptom barriers (SRE-AB), as well as pain acceptance (AE) and anticipatory persistence for PA during a flare. Paired t-test results showed that individuals were significantly less efficacious (SRE-SP : p
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".