Predicting physical activity for people with multiple sclerosis: The role of exercise-related cognitive errors.
Bibliographic record
Abstract
PURPOSE: Multiple sclerosis (MS) is a neurological disease that is chronic, progressive characterized by symptoms of relapsing fatigue and pain. Despite evidence supporting the use of physical activity (PA) for MS symptom management, low rates of PA participation are observed. Previous research suggests exercise-related cognitive errors (ECEs) can deter and decrease PA participation. The purpose of this study was to examine whether ECEs and self-regulatory efficacy for MS symptom control predict important behavior-related outcomes for MS self-management (dependent variables: PA, maladaptive behavioral responses to illness, and perceived walking impairment). METHOD: = 110; aged 18 and over, with a patient-determined disease steps score of six or less) completed the following validated questionnaires: ECEs, MS symptom control self-efficacy, self-report moderate to vigorous physical activity, behavioral responses to illness, and perceived walking impairment. RESULTS: s < .05). CONCLUSION: This is the first study to demonstrate associations between ECEs and different illness- and mobility-related perceptions for persons with MS. Findings suggested that self-regulatory efficacy to manage MS symptoms varied based on low, moderate, or high levels of ECEs. Disability status is not easily modifiable; targeting social cognitions, like self-regulatory efficacy or ECEs, may be a promising way to promote PA for MS self-management. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".