"My arthritis is flared and I can't exercise...or maybe I can...": Is self-regulatory efficacy to overcome flare barriers predictive of exercise?
Bibliographic record
Abstract
Adults with arthritis struggle to adhere to evidence-based exercise recommendations for disease self-management (150+ minutes/week of moderate-vigorous intensity). Calls to understand theory-based psychosocial factors important for adherence have been under-investigated. According to social cognitive theory, self-regulatory efficacy (SRE) to overcome challenging barriers may be associated with adherence. Adults often report that being in an arthritis flare, which involves increases in usual arthritis symptoms (e.g., pain, tiredness), is a challenge to regular exercise. However, no research has examined associations between SRE to overcome flare barriers (SRE-flare) and exercise. Study purposes were to: (1) Examine whether SRE-flare predicted moderate-vigorous exercise, after controlling for arthritis flares and (2) Determine if participants who met exercise recommendations (150+ minutes/week) differed from those who did not (<150 minutes/week) in flares and SRE-flare. Ninety adults (Mage = 49.36 ±16.38 years) with self-reported medically diagnosed arthritis responded to an online survey that assessed SRE-flare, prior two-week exercise and flare experiences (yes/no). A hierarchical multiple regression analysis to predict exercise from flares (step 1) and SRE-flare (step 2) was significant (R2 adjusted=.14, p<.01). SRE-flare was the lone significant predictor (R2 change=0.11, standardized β=.35, p<0.01). Chi-square analysis comparing those who met exercise recommendations (n=37) to those who did not (n=53) in flares was not significant. However, a t-test comparing the two exercise groups in SRE-flare was significant. Those who met recommendations reported significantly higher SRE-flare than those not meeting recommendations (6.64±1.71 versus 5.35±2.00, p<.01). Findings demonstrate the potential importance of having higher SRE-flare beliefs to help adults overcome the challenge of being in an arthritis flare and continue to exercise. Future research should determine if a causal relationship exists between SRE-flare and exercise. If affirmed, social cognitive theory-based interventions to enhance SRE-flare may promote better arthritis self-management through exercise adherence.Acknowledgments: Funded by a grant provided by the Canadian Institutes of Health Research (CIHR) Regional Partnership Program with the Saskatchewan Health Research Foundation (SHRF)
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".