Examination of self-regulatory efficacy and pain among individuals challenged by arthritis flares.
Bibliographic record
Abstract
PURPOSE/OBJECTIVE: Public health guidelines for physical activity (PA) for individuals with arthritis are 150 min/week. Self-regulatory efficacy to plan and schedule activity (SRE-SP) was greater for individuals meeting guidelines in studies when symptoms were usual. Extreme symptoms of a flare presumably challenge or block PA adherence. We found it surprising that the question of whether pain intensity and SRE-SP differ within the same person as a function of symptom severity (i.e., flare vs. no-flare) and PA level has not been addressed. RESEARCH METHOD/DESIGN: Participants (N = 53) reported SRE-SP and SRE to overcome arthritis barriers (SRE-AB) during the following month, average usual and flare-pain intensity, and PA volume in the past 6 months. Mixed-model ANOVAs compared those meeting or not meeting PA guidelines in both flare and no-flare conditions. RESULTS: Main effects for SRE (SP and AB) were significant for within flare/no-flare comparisons (p < .001) and for SRE-SP were significant between PA groups (p < .05). Individuals meeting PA guidelines have the advantage of greater SRE-SP to motivate adherence than those of the less active. All participants' activity was less efficacious during a flare. For pain intensity, a within-subjects flare versus no-flare effect (p < .001) confirmed that flares are perceived as more of an obstacle or challenge for engaging in PA. CONCLUSION/IMPLICATIONS: Regardless of meeting or not meeting PA guidelines, participants reported lower SRE and higher pain intensity during a flare. PA adherence during a flare may require self-regulation of PA to be active, and in particular, to be able to meet recommended guidelines, relative to symptom severity.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 teacher head, 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".