Strength Training And Physical Function: Role of Self-Efficacy
Bibliographic record
Abstract
Background: The occurrence of knee osteoarthritis (OA) poses a significant problem for individuals' physical function. Strength training impacts physical function through improvements at the muscular level, where activities of daily living may feel easier to accomplish and may also positively impact perceptions of ability and physical symptoms. Therefore, this study aims to explore whether a strength training intervention leads to changes in self-efficacy and whether changes in self-efficacy mediate the effects of strength training on physical function. Methods: The Strength Training for Arthritis Trial (START) included 377 community- dwelling adults (≥ 50 years) with a body mass index ranging from 20 to 45, knee pain, and radiographic knee OA, who self-reported disability due to knee OA. Measures of Adherence Self-Efficacy, 6-minute Walk Distance, Western Ontario and McMaster Universities OA Index for physical function, and the SF-36 Physical Component Score were collected before randomization and again at an 18-month follow-up in adults who were assigned to 1 of 3 treatment conditions: high-intensity strength training, low-intensity strength training, or attention control. Results: Among 377 randomized participants (mean age, 65 years; 151 women [40%]), 320 (85%) completed the trial. The intervention had a significant positive effect on self-efficacy across all outcomes (ꞵ = 0.24-0.26, p < 0.001). Self-efficacy significantly mediated treatment effects on strength training and physical function across all measures (SF-36 PCS, WOMAC Function, and 6MWD; p < .05). Conclusions: Results supported that a strength training intervention led to improvements in self-efficacy and that self-efficacy mediated the relationship between strength training and physical function. Strength training programs designed to influence aspects of physical function should consider methods to improve self-efficacy and assist individuals with managing physical symptoms. This study was supported by grants 1R01AR059105-01 from the National Institute of Arthritis and Musculoskeletal and Skin Diseases and P30 AG21332 from the National Institute on Aging.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".