Meeting physical activity recommendations: Self-regulatory efficacy characterizes differential adherence during arthritis flares.
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Using social-cognitive theory, we examined whether adults who experienced an arthritis flare and met/did not meet the disease-specific public health recommended dose for physical activity differed in their self-regulatory efficacy beliefs, overall pain, and flare-related factors. RESEARCH METHOD/DESIGN: Adults with arthritis (N = 56; M(age) = 49.41 ± 11.56 years) participated in this prospective study. RESULTS: Multivariate analysis of variance comparing groups who met or did not meet the recommended dose (n(met) = 24, ≥ 150 minutes/week vs. n(not met) = 32, < 150 min/week) on efficacy, overall pain, and flare-related factors was significant (p < .01; η(partial)² = .28). People meeting the dose had significantly greater self-regulatory efficacy to overcome arthritis barriers (M(met dose) = 7.33 ± 1.95 vs. M(did not meet dose) = 5.74 ± 2.08, η(partial)² = .14) and to schedule/plan (M(met dose) = 7.27 ± 1.80 vs. M(did not meet dose) = 5.72 ± 1.90, η(partial)² = .15). Overall pain and flare-related factors did not differ (ps > .05). CONCLUSION/IMPLICATION: During flares, individuals with greater self-regulatory efficacy to manage disease barriers and plan their physical activity were more adherent to disease-specific public health activity recommendations. This study was the first to demonstrate differences in social cognitions that characterize adherence to recommended activity among people challenged by arthritis flares. Findings support the theoretical position that self-regulatory efficacy is related to better adherence in the face of challenging disease-related circumstances. The importance of studying individual characteristics of people who succeed in being active despite such obstacles is stressed.
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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 | 0.000 | 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) | 0.007 | 0.002 |
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 it