Problem-solving differences in exercise behaviour motivation in cardiac rehabilitation participants
Bibliographic record
Abstract
Despite the positive outcomes of regular physical activity achieved in structured cardiac rehabilitation (CR), adherence to self-managed exercise post-CR is a problem. The Model of Social Problem-Solving (MSPS) suggests that individual differences in problem-solving abilities are linked to outcomes when individuals are challenged. Types of motivation are also linked to regulation of behaviour. Self-Determination Theory suggests the most positive outcomes are achieved through self-determined motivation (Vallerand et al., 2008). Self-determined regulation is related to increased persistence and likelihood to maintain behaviour (Deci & Ryan, 2002). Problem-solving is related to CR patients' exercise, but has not been examined relative to types of motivation. We compared CR participants more and less effective in problem-solving relative to (1) autonomous and (2) controlled motivation for regular exercise and (3) autonomy for CR exercise participation. Novice CR participants (N = 90; 66% male; Mage = 64.4 years) enrolled in a health region CR program completed measures of problem-solving effectiveness, autonomous and controlled motivation, autonomy, and persistence. MANOVA revealed a between-groups effect, Wilk's lambda = .74, p < .001, eta2 = .26. Follow-up ANOVAs revealed more effective problem-solvers had significantly higher autonomous motivation and autonomy, and lower controlled motivation (p's < .05, effect sizes = .06 to .19). Autonomous motivation and autonomy significantly predicted post-CR persistence with exercise (p's ≤ .05). Findings expand the emerging literature on problem-solving in CR patients' exercise and support MSPS-based contentions.Acknowledgments: Royal University Hospital Foundation Research Fund; SSHRC Canada Research Chair Training Funds
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".